Literature DB >> 35606776

Strategies for utilisation management of hospital services: a systematic review of interventions.

Leila Doshmangir1,2, Roghayeh Khabiri3, Hossein Jabbari4, Morteza Arab-Zozani5, Edris Kakemam6, Vladimir Sergeevich Gordeev7,8.   

Abstract

BACKGROUND: To achieve efficiency and high quality in health systems, the appropriate use of hospital services is essential. We identified the initiatives intended to manage adult hospital services and reduce unnecessary hospital use among the general adult population.
METHODS: We systematically reviewed studies published in English using five databases (PubMed, ProQuest, Scopus, Web of Science, and MEDLINE via Ovid). We only included studies that evaluated interventions aiming to reduce the use of hospital services or emergency department, frequency of hospital admissions, length of hospital stay, or the use of diagnostic tests in a general adult population. Studies reporting no relevant outcomes or focusing on a specific patient population or children were excluded.
RESULTS: In total, 64 articles were included in the systematic review. Nine utilisation management methods were identified: care plan, case management, care coordination, utilisation review, clinical information system, physician profiling, consultation, education, and discharge planning. Primary case management was shown to effectively reduce emergency department use. Care coordination reduced 30-day post-discharge hospital readmission or emergency department visit rates. The pre-admission review program decreased elective admissions. The physician profiling, concurrent review, and discharge planning effectively reduced the length of hospital stay. Twenty three studies that evaluated costs, reported cost savings in the hospitals.
CONCLUSIONS: Utilisation management interventions can decrease hospital use by improving the use of community-based health services and improving the quality of care by providing appropriate care at the right time and at the right level of care.
© 2022. The Author(s).

Entities:  

Keywords:  Health policy and systems research; Hospital; Utilisation management; Utilisation review

Mesh:

Year:  2022        PMID: 35606776      PMCID: PMC9125833          DOI: 10.1186/s12992-022-00835-3

Source DB:  PubMed          Journal:  Global Health        ISSN: 1744-8603            Impact factor:   10.401


Background

Hospitals provide a wide range of services necessary to meet the increasing demand for health care services and are an integral component of any health delivery system. However, inappropriate utilisation of high-cost but unnecessary or ineffective tests and medications in hospitals remains a significant challenge in many health systems [1]. Several studies documented improper hospital service use, which can be defined as “a hospital admission to provide care that could have been given in a less complex healthcare environment and at a lower cost” [2]. For example, it was previously shown that up to one-third of days of care [3-5] and diagnostic tests [6, 7], and one-fifth of all hospital admissions [8] could be inappropriate or unnecessary, negatively impacting patients’ physical and mental well-being, and driving up overall health care costs. Hence, eliminating inappropriate utilisation and waste is essential given the existing shortage of financial and human resources. Advances in medical technology and, consequently, aggressive marketing to health care providers, direct-to-consumer advertising, political pressure from advocacy organisations, defensive medical decision making, fragmentation and discontinuity of care within and between health and social sectors - all can become the cause of healthcare overutilisation [9, 10]. Cost containment strategies can limit healthcare-related expenditure by eliminating inappropriate use of health care services while ensuring the continuous improvement of the quality of care. For example, one could consider controlling demand or supply for care, altering provision structures or hospital performance, cost-sharing, managed care, reference pricing, and generic substitution [11]. Another strategy is fostering hospital mergers and networks that may speed up restructuring through economies of scale at relatively small hospital sizes. However, creating a dominant position in the local hospital market may have an anticompetitive effect [12]. With the rising demand for healthcare services, hospitals can apply innovative methods to increase their efficiency [4]. This can be achieved by strengthening operational efficiency and targeting more significant healthcare expenditure cases. A range of measures can be used for this purpose: reducing duplication of services, decreasing the use of expensive inputs, decreasing the length of stay for inpatient care, reducing the number of long-stay beds, and reducing medical errors [13-15]. Another approach would be implementing measures that could rebalance services provision across the health system, improve allocative efficiency, and centralise administrative functions. Such measures could include shifting the provision of care from the hospital into the community, improving care coordination, strengthening preventative care, increasing the use of day surgeries, providing appropriate levels of acute care at home (hospital at home), and facilitating the discharge of patients who have to stay in hospitals longer [16, 17]. One could also consider implementing initiatives that lower management expenses and enhance administrative efficiency, such as simplifying managerial procedures; introducing uniform standards, distribution strategies and the availability of real-time consumer and provider information; improving electronic mechanisms of lodging, processing, and reimbursement of payments and claims; and outsourcing member management systems and other back-office services [18, 19]. Most importantly, besides the cost-saving and improving operational, allocative, and administrative efficiency, reducing inappropriate utilisation could eliminate potential iatrogenic effects of unnecessary services while improving healthcare quality. However, previous studies primarily focused on evaluating the effectiveness of interventions in reducing a specific service, while studies that would provide a clear overview of the utilisation management strategies for adult hospital services are still lacking. Hence, our study aimed to identify the initiatives intended to manage adult hospital services and reduce unnecessary hospital use among the general adult population.

Methods

We conducted a systematic review of published studies investigating initiatives intended to manage adult hospital services and reduce unnecessary hospital use among the general adult population.

Inclusion criteria

Studies were included if they reported using intervention in a general population aimed to reduce relevant primary outcomes (i.e., hospital services and/or emergency department (ED) use, frequency of hospital admissions, LOS, and use of diagnostic tests) compared to care as usual or different intervention. There were no time restrictions, but the publication language was restricted to English only.

Exclusion criteria

We excluded studies that targeted adult patient populations only with a specific medical condition (e.g., diabetes, asthma, cardiac failure, or cancer) or children to increase homogeneity and comparability between studies.

Search strategy

Five bibliographic databases (PubMed, ProQuest, Scopus, Web of Science, Ovid/Medline) were searched until March 2020. To capture a broad range of primary outcomes, in addition to utilisation management and utilisation review, we included the following search terms: concurrent review, prospective review, retrospective review, pre-admission review, pre-admission review, pre-certification, pre-admission certification, pre-admission certification, pre-admission authorisation, pre-admission authorisation, pre-admission testing, pre-admission testing, prior authorisation, same-day admission, physician profiling, provider profiling, physician financial incentives, demand management, case management, discharge planning, second surgical opinions, second opinions, step therapy, therapeutic substitution, closed formulary, utilisation. We additionally searched the references of included studies for other potentially essential studies.

Study selection, data extraction, and synthesis

Results from the bibliographic databases were merged, and duplicates removed. Two reviewers (LD and RKh) independently screened the search results by title, abstract and performed a full-text review. Disagreements were resolved by discussion and consensus with a third reviewer (HJ). We extracted the following information from the studies included in the review: type of intervention, study design, details of the intervention, and effects on primary outcomes (hospital services and ED use, admissions, LOS, use of diagnostic tests) and secondary outcomes (readmissions and costs). This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses [20].

Assessment of the methodological quality

We used an adapted version of the Quality Assessment Tool for Quantitative Studies (developed by the Effective Public Health Practice Project [21] to assess the methodological quality of the included studies (Appendix). The tool contains 19 items in eight key domains: (1) study design; (2) blinding; (3) representativeness in the sense of selection bias; (4) representativeness in the sense of withdrawals/drop-outs; (5) confounders; (6) data collection; (7) data analysis; and (8) reporting. Studies can have between six and eight component ratings, with each component score ranging from 1 (low risk of bias; high methodological quality) to 3 (high risk of bias; low methodological quality). An overall rating for each study was determined based on the component ratings. For example, if eight ratings have been given, a rating of ‘strong’ was attributed to those with no weak ratings and at least five strong ratings, ‘moderate’ to those with one weak rating or fewer than five strong ratings, and ‘weak’ attributed to those with two or more weak ratings. To minimise the risk of bias, assessments were completed independently by two reviewers (LD and EK). The ratings for each of the eight domains and the total rating were compared, and a consensus was reached on a final rating for each included article.

Data Analysis

Descriptive analyses were used to describe all studies that met the inclusion criteria, focusing on study design, participants, interventions and outcomes.

Results

The results of the screening process are shown in Fig. 1. After removing duplicates, 2261 papers were screened by title and abstract for possible inclusion in the review. The full text of 264 articles was obtained and assessed for eligibility. Of them, 56 selected papers were eligible for review. After screening references of included papers, we identified additional nine papers. Sixty four studies [22-85] met the eligibility criteria and were included in the final review.
Fig. 1

PRISMA flow diagram

PRISMA flow diagram

Characteristics of the selected studies

Included studies were published between 1982 and 2020, conducted mostly in the USA (n = 34) [22–24, 29–32, 37, 39, 40, 42, 43, 45, 47, 49, 56, 57, 60, 63, 65, 67–71, 73–75, 77, 78, 81, 82, 84, 85], Canada (n = 4) [26, 35, 55, 61], Australia (n = 4) [38, 41, 59, 83], UK (n = 3) [36, 64, 72], Sweden (n = 3) [62, 66, 76], and one each in the Netherlands [52], Korea [44], China [53], Taiwan [27], Singapore [54], and Bahrain [34]. All studies focused on the general adult population; however, some focused on specific broader subgroups with psychiatric problems [29, 45, 54, 83], comorbid conditions [49, 77], psychosocial problems (e.g., problems with housing, medical care, substance abuse, mental health disorders, or financial entitlements) [70], uninsured [30, 31, 43, 68], patients with chronic medical conditions [27, 46, 49, 61, 67], or older patients [41, 43, 47, 49, 64, 66, 67, 76]. The duration of the study follow-up ranged from one month to seven years (Table 1).
Table 1

Study characteristics

Author (Year) CountryDesignHealth care settingType of interventionControlHealth Professionals involved in an interventionPeriod, monthsNumber of Participants

Sandberg et al. [66]

(2015) Sweden

RCTCommunityCase management consisted of assessment, care coordination, providing general information, specific information and safety and monthly home visitingUsual careNurse case managers, physiotherapists, physicians12 F/U

Control: 73

Exposed: 80

Haldiman et al. [40]

(2014) the United States

Cross-sectionalHospitalProspective review of requests for fresh –frozen plasma and platelets using guidelines and pathologists as consultantsBefore reviewBlood bank staff, pathologist, ordering physician48 F/UNR

Goodnough et al. [37]

(2014) the United States

NCBAHospitalConcurrent review using a real-time clinical decision support system (CDSS) consisted of interruptive best practice alerts (BPAs) at the time of physician order entry (POE)CDSSPhysicians22 before and 30 F/UNR
Joo [46] (2014) the United StateslongitudinalCommunityCase management comprises assessment, care plans, care services in homes, clinic settings or telephone consults, evaluationNo Case ManagementNurse case managersUp to 24 F/U

Control: -

Exposed: 252

Buckley et al. [24]

(2013) the United States

NCBAMedical institutionDrug-utilization management program using evidence-based guidelines and clinical pharmacistsPre-Implementation of Drug-Utilization ReviewClinical pharmacists, physicians, nurses, hospital administrators6 before and 6 F/U

Control: 496

Exposed: 300

Reinius et al. [62]

(2013) Sweden

RCTHospitalCase management using a personalised programme, telephone contactUsual careNurses12 F/U

Control: 57

Exposed: 211

Crane et al. [30]

(2012) the United States

CBAHospitalCase management comprises drop-in group visits, telehealth line and life skills trainingBefore Case ManagementFamily physician, nurse care manager, behavioural health professional12 before and 12 F/UControl group: 36 Exposed: 340020

Roland et al. [64]

(2012) the United Kingdom

Case-controlFrom hospital to communityCase management focused on integrated care, delivery system redesign, improved clinical information systemsNo Case ManagementCase managers, GPs, community nurses, social workers6 before 6 F/U

Control group:

17,311 Exposed: 3646

Koehler et al. [49]

(2009) the United States

RCTHospitalCare coordination using supplemental care bundle consists of medication counselling, reconciliation by a clinical pharmacist, patient education, enhanced discharge planning, and phone follow-upUsual careCare coordinator, pharmacist2 F/U

Control: 21

Exposed: 20

Schraeder et al. [67]

(2008) the United States

Quasi-experimentalPrimary careCase management emphasises collaboration between physicians, nurses and patients, risk identification, comprehensive assessment, collaborative planning, health monitoring, patient education and transitional careUsual careNurse case managers, primary care physicians36 F/U

Control: 277

Exposed: 400

Holsinger et al. [42]

(2008) the United States

NCBAHospitalsCollaborative model of learning, a “trial-and-learn” approach to quality improvement, including Plan-Do-Study-Act cycles to test and implement changesBefore modelPhysicians, medical staff, representatives from quality improvement, utilisation review or case management, billing, compliance, and medical records departments19 before and 14 F/U54 hospitals-

Sweeney et al. [77]

(2007) the United States

Prospective cohortHMOPatient-centred management involves on-site assessment, education, home visits, frequent contact, and goal-oriented care plansUsual case managementCare managers, team managers, nurses, physicians3 to 18 F/U

Control: 398

Exposed: 358

Phillips et al. [59]

(2006) Australia

NCBAEDCase management includes psychosocial evaluation, access to health care practitionersBefore Case ManagementNurses, allied health professionals, social workers, psychiatrists, primary care provider12 before and 12 F/U

Control: 60

Exposed: 60

Sledge et al. [73]

(2006) the United States

RCT

Primary care

services

Case Management, including comprehensive medical and psychosocial assessment, care planning, follow-up, care coordination, self-management, counselling, telehealth line, home visitingUsual careNurse case manager, social worker, psychiatrist, internist, primary care provider12 F/U

Control: 49

Exposed: 47

Mahendran et al. [54] (2006) SingaporeNCBAFrom hospital to communityCase Management includes care planning, care coordination, continuity of care, patient education, referral, counselling, telephone contacts, home visiting, assessment, evaluation, and supportive therapyNo Case ManagementPsychiatric nurses were recruited as psychiatric case managers12 F/U

Control: -

Exposed: 227

Zemencuk et al. [85]

(2006) the United States

CBAHospitalPhysician profilingNo profilingphysicians12 before and 12 F/UControl: 6 hospitals Exposed:1 hospital

Latour et al. [52]

(2006) the Netherlands

RCTFrom hospital to communityCase management includes home visiting after discharge, assessment, set care plan consisting of psychosocial support, referral, and telephone follow upUsual careA nurse case manager, medical supervisor, general practitioner6 F/U

Control: 69

Exposed: 78

Hegney et al. [41] (2006) AustraliaNCBAHospitalDischarge planning using a risk screening toolBefore interventionSpecialist community nurse9 before vs 9 F/U

Control: -

Exposed: 2139

Horwitz et al. [43] (2005) the United StatesRCTHospitalCase Management including referral to PCP, telephone or mail contacts, home visitingUsual careCase managers6 F/U

Control:109

Exposed: 121

Control:51

Exposed: 59

Leung et al. [53] (2004) ChinaRCTCommunityCase Management includes regular monitoring of subjects’ health status, telehealth line, home visiting, community-based supportive servicesUsual serviceA nurse case manager, case geriatricians12 F/U

Control: 47

Exposed: 45

Cox et al. [29] (2003) the United StatesNCBAMedical CenterCase management emphasises on the management of personal resources, medication compliance and therapeutic relationshipsBefore Case ManagementPsychiatrists, nurses, psychologists, social worker12 to 84 F/U

Control: -

Exposed: 185

Hwang et al. [44] (2002) KoreaTime seriesHospitalPOE systemPre- Physician’s order entryPhysicians3 before and 6 F/U

Control: 73

Exposed: 38

Fateha [34] (2002)

Bahrain

Time seriesHospitalConcurrent ReviewBefore reviewMedical staff96 F/U
Ferrazzi et al. [35] (2001) CanadaNCBACommunityAdvanced life support drug treatment is given by ambulance attendantsBefore the programAmbulance attendants18 before vs 18 F/U

Control: 215

Exposed: 191

Okinet al [57]. (2000) the United StatesNCBAHospitalCase Management includes services coordination, individual and group supportive therapy, housing arrangement, financial entitlements, referral to PCP, substance abuse referral, community services, home visitingBefore Case ManagementPsychiatric social worker, case manager12 before and 12 F/U

Control: -

Exposed: 53

Bates et al. [22] (1999) the United StatesRCTHospitalComputerised physician order entry is given a reminder to the physicianNo reminderPhysicians4 F/U

Control: 5886

Exposed: 5700

Wickizer et al. [82] (1998) the United States

Retrospective

analysis

HospitalUtilisation management strategies including: Pre-admission review, concurrent reviewBefore Utilisation managementNurse reviewers, physician advisers6049,654
Spillane et al. [74] (1997) United StatesRCTHospitalCase management includes individualised care plans, psychosocial evaluation, care coordinationUsual careED physician, social worker, psychiatrist, ED nurse practitioner12 before and 12 F/U

Control: 25

Exposed: 27

Bree et al. [23] (1996) the United StatesRCTHospitalPre-certification includes mandatory radiology consultation; each radiology examination requires approval by the attending radiologist before it is performedNo Pre-certificationAttending radiology consultant, radiology clerical personnel12 F/U

Control: 1178

Exposed: 1022

Shea et al. [69]

(1995) the United States

RCTHospitalClinical information systems include: computer-generated informational messages directed to physiciansNo messagePhysicians23 F/UControl: 6990 Exposed: 7109

Cardiff et al. [26]

(1995) Canada

Time-seriesHospitalsUtilisation management strategy includes identifying patients who did not need to be in acute care beds, as defined by the ISD-A explicit criteria and modifying the level of care for such patientsBefore Utilisation management programNurse reviewers, physicians12 before and 12 F/U

Control: Hospital C: 281

Hospital D: 312

Exposed: Hospital A: 600 Hospital B: 597

Styrborn [76] (1995) SwedenMulticenter controlled trialFrom hospital to communityDischarge Planning comprised: patient assessment, development of discharge plan, implementation in the form of provision of services, including patient/family education and service referrals, follow up/ evaluationOrdinary discharge routinesConsultant geriatrician, nurse3 F/U

Control: Hospital B: 166

Hospital C: 190

Exposed: Hospital A: 180

Rosenberg et al. [65] (1995) the United StatesCase-controlHospitalUtilisation review, second opinion, discharge planning, case managementSham reviewNurses, physicians8 F/UControl: 3743 Exposed: 3702
Jambunathan et al. [45] (1995) the United StatesCross-sectionalOutpatient clinicCase management including biopsychosocial assessment, care planning, care delivery, care coordinationBefore Case ManagementNurses18 F/UControl: -Exposed: 21

Williams et al. [83]

(1994) Australia

Cross-sectionalHospitalDrug utilisation reviewNo reviewDrug use review panelPatient admission to dischargeControl: - Exposed: 75
Wickizer [81] (1992) the United StatesRetrospective analysisHospitalUtilisation Review consists of pre-admission authorisation and concurrent reviewNo ReviewRegistered nurses, physician advisors, medical personnel36 F/UControl: - Exposed: 1844

Woodside et al. [84]

(1991) the United States

Case-controlHospitalUtilisation management strategies including concurrent review, consultation, discharge planning, care coordinationNo Utilisation managementCare coordinator, physician, nurses3 F/UControl: 191 Exposed: 73

Silver et al .[71]

(1992) the United States

Cross-sectionalHospitalProspective review using guidelinesNo reviewTransfusion service technical personnel, physicians12 F/UControl: -Exposed: 543

Fowkes et al. [36]

(1986) the United Kingdom

Multicenter controlled trialHospitalsAppointment of a utilisation review committee, informational feedback given to physicians, the introduction of a new chest X-ray request form, concurrent reviewNo reviewPhysicians, clerical staff12 F/U44,632

Echols et al. [32]

(1984) the United States

NCBAHospitalDrug utilisation Review using an antibiotic order formBefore the introduction of the order formPhysicians25 F/UNR

Restuccia [63]

(1982) the United States

Multicenter controlled trialHospitalsUtilisation review consists of providing concurrent feedback to physiciansNo feedbackNurses review coordinators, physicians2 F/U

Control: hospital D: 51

Exposed: hospital A: 145

hospital B:68

hospital C: 60

Murphy [56] (2014) the United StatesNCBAHospitalCase management includes multidisciplinary ED care coordination, individualised ED care guidelines, and information systemBefore ED-care-coordination programPhysicians, nurses, mental health and substance abuse professionals, ED nurse managers, a pharmacist, a social worker, a chaplain12 before and 12 F/U

Control: 65

Exposed: 65

Chiang et al. [27] (2014)

Taiwan

NCBAHospitalCase management using dynamic, internet-mediated, team-based support led by emergency physiciansBefore Case ManagementED physicians, primary care physicians, psychiatrists, social workers, and pharmacologists6 before and 6 F/U

Control: -

Exposed: 14

Pillow et al. [60] (2013)

the United States

NCBAHospitalCare plans include social work assessment, directives to call pain team for the development of pain contract, radiologic studies, out-patient referral for speciality clinics, urinary toxicology studies, managed care referral, and psychiatric assessmentBefore CPSocial workers, case managers, physicians6 before and 11 F/Uphil

Control: -

Exposed: 50

Dehaven et al .[31]

(2012) the United States

Quasi-experimentalFrom hospital to communityA community-based partnership includes improving access to a primary care provider through in-person or telephone access to the community health worker, referralUsual carePrimary care providers, hospital-based coordinators, community health worker12 F/U

Control: 309

Exposed: 265

Tadros et al .[78]

(2012) the United States

NCBAEMSCase management includes coordination of treatment and social services, in-person contact, EMS interface, referrals, phone calls, transportsBefore Case ManagementPrimary care physicians, social workers, case managers and adult protective services personnel16 before and 15 F/U

Control: -

Exposed: 51

Shah et al .[68]

(2011) the United

States

CBA

Primary care

services

Care management includes access to medical and social resources, scheduling primary care appointments, following up on referrals, arranging for support services, e.g., housing, care transitions while in hospital, care navigation and care coordination between specialists and primary care providersBefore Case ManagementCase managers, Primary care providers12 before and 3 to 12 F/U

Control: 160

Exposed: 98

Stokes-Buzzelli S et al. [75] (2010) the United StatesNCBAHospitalHealth Information Technologies consist of identifying the most frequently presenting patients and creating individualised care plans for those patients and access to care plans through electronic medical recordsNo HITED attending, ED medical social worker, ED mental health social worker, ED psychologist, ED resident, ED clinical nurse specialistsSame pre-and post-intervention time for each patient but varied between patients from 3 to 23

Control: -

Exposed: 36

Grimmer-Somers et al. [38] (2010) AustraliaNCBACommunityIndividualised care plan including health assessment, social support, problem-solving, empowerment, education, goal setting and mentoringBefore programSocial workers, nurses12 before and 12 F/UControl: -Exposed: 37
Grover et al. [39] (2010) the United StatesNCBAHospitalCase management using patient care plans consisted of referral to PCP, limiting narcotic use, pain management, chemical dependency behavioural health evaluation, social servicesBefore Case ManagementPhysicians, nurses, social service providers, pain management clinicians, specialists in behavioural health6 before and 6 F/U

Control: 96

Exposed: 96

Skinner et al. [72]

(2009) the United Kingdom

CBAHospitalCase management includes evaluation, individualised care plan, referrals to other services, key contact, close observationBefore Case ManagementED consultant, ED specialist registrar, psychiatric nurse specialist, social workers, housing officers6 before vs 6 F/U

Control: 21

Exposed: 36

Shumway et al. [70] (2008) the United StatesRCTHospital

Case management

including individual

assessment, crisis intervention, individual and group supportive therapy, arrangement of stable housing and financial entitlements, linkage to medical care providers, referral to substance abuse services, ongoing assertive community outreach

Usual carePsychiatric social workers, nurse practitioners, primary care physicians, psychiatrist24 F/U

Control: 85

Exposed: 167

Pope et al. [61] (2000) CanadaNCBAHospitalCase management includes individualised care plan, limiting narcotics and benzodiazepines prescriptions and laboratory tests requested in ED, referral to PCP, pain program, addiction counselling, communicating care plans with other EDs, supportive therapy, arrangement of food servicesBefore Case managementSocial workers, ED medical director, director of continuous quality improvement, patient care manager, psychiatric nurse, clinical nurse specialist, family physicians, community care providers12 before and 12 F/U

Control: 24

Exposed: 24

Moher et al. [55] (1992) CanadaRCTClinical teaching unitsDischarge planning based on individual patient needsStandard medical careNurse4 F/U

Control: 131

Exposed: 136

Kennedy et al. [47] (1987) the United StatesRCTHospitalDischarge Planning is based on individual patient needs, emphasising communication with the patient and familyCare not describedNurses1 F/U

Control: 41

Exposed: 39

Kurant et al. [51] (2018)

the United States

Not statedHospitalLaboratory-based utilisation management programs, including electronic health record (EHR) laboratory orders databaseUsual serviceNot applicable8 months160,000 EHR laboratory orders

Copeland et al. [28]

(2017) the United States

NCBAHospitalModelling of collective and individual oncologist per patient imaging countsBefore model12 months4605 patients

Pena et al. [58]

(2014) the United States

NCBAHospitalBlood management program includes Improving communications and transfusion guidelines, Benchmarking using the issue-to-transfusion ratio and audits and gatekeeping of selected blood productsBefore the Blood management programThe staff of the laboratory of the Blood Transfusion Service36 monthsAll of the transfused components at MGH from 2010 to 2012

Weilburg et al. [80]

(2017) the United States

Retrospective cohortHospitalAnalysis of high-cost imaging utilisation in a stable cohort of patients cared for by PCPs during a 7-year periodStatewide high-cost imaging use data from a major private payer on the basis of the same claim set

Primary care physicians &

speciality care physicians

84 months109,823 patients

Konger et al .[50]

(2016) the United States

NCBAHospitalReductions in unnecessary clinical laboratory testing by using LESpre-LES test volumePathologists36 months14,359 Exclusion Requests

El-Othmani et al. [33]

(2019) the United States

Retrospective analyseHospitalThe Joint Utilization Management ProgramBefore the Joint Utilization Management ProgramPhysicians, post-acute care providers, and inpatient interdisciplinary teams12 before and 12 F/U683 JUMP patient

Kim & Lee [48] (2020)

Korea

Not statedMedical Aid BeneficiariesCase ManagementBefore Case ManagementThe case manager, a registered nurse or social worker,12 Months1741 case management clients

Wasfy et al. [79] (2019)

the United States

Ret rospective cohortHospitalHospital Readmissions Reduction ProgramPre-law trendsNot applicable36 Months3,038,740 total index hospital stays

Calsolaro et al. [25] (2019)

Italy

Ret rospective analyseHospitalPotentially Preventable Readmission Grouping

Compering stand-alone admissions, index admissions and potentially preventable read

missions

Geriatricians30 days1263 stand-alone admissions, 171 index admissions

Notes: RCT Randomised controlled trial, ED Emergency Department, CM Case Management, NCBA Non-controlled before-and-after studies, LES Laboratory expert system, HIT Health Information Technologies, EMS Emergency medical services, POE Physician’s order entry, CDSS Before Clinical Decision Support System, HMO Health maintenance organisation

Study characteristics Sandberg et al. [66] (2015) Sweden Control: 73 Exposed: 80 Haldiman et al. [40] (2014) the United States Goodnough et al. [37] (2014) the United States Control: - Exposed: 252 Buckley et al. [24] (2013) the United States Control: 496 Exposed: 300 Reinius et al. [62] (2013) Sweden Control: 57 Exposed: 211 Crane et al. [30] (2012) the United States Roland et al. [64] (2012) the United Kingdom Control group: 17,311 Exposed: 3646 Koehler et al. [49] (2009) the United States Control: 21 Exposed: 20 Schraeder et al. [67] (2008) the United States Control: 277 Exposed: 400 Holsinger et al. [42] (2008) the United States Sweeney et al. [77] (2007) the United States Control: 398 Exposed: 358 Phillips et al. [59] (2006) Australia Control: 60 Exposed: 60 Sledge et al. [73] (2006) the United States Primary care services Control: 49 Exposed: 47 Control: - Exposed: 227 Zemencuk et al. [85] (2006) the United States Latour et al. [52] (2006) the Netherlands Control: 69 Exposed: 78 Control: - Exposed: 2139 Control:109 Exposed: 121 Control:51 Exposed: 59 Control: 47 Exposed: 45 Control: - Exposed: 185 Control: 73 Exposed: 38 Fateha [34] (2002) Bahrain Control: 215 Exposed: 191 Control: - Exposed: 53 Control: 5886 Exposed: 5700 Retrospective analysis Control: 25 Exposed: 27 Control: 1178 Exposed: 1022 Shea et al. [69] (1995) the United States Cardiff et al. [26] (1995) Canada Control: Hospital C: 281 Hospital D: 312 Exposed: Hospital A: 600 Hospital B: 597 Control: Hospital B: 166 Hospital C: 190 Exposed: Hospital A: 180 Williams et al. [83] (1994) Australia Woodside et al. [84] (1991) the United States Silver et al .[71] (1992) the United States Fowkes et al. [36] (1986) the United Kingdom Echols et al. [32] (1984) the United States Restuccia [63] (1982) the United States Control: hospital D: 51 Exposed: hospital A: 145 hospital B:68 hospital C: 60 Control: 65 Exposed: 65 Chiang et al. [27] (2014) Taiwan Control: - Exposed: 14 Pillow et al. [60] (2013) the United States Control: - Exposed: 50 Dehaven et al .[31] (2012) the United States Control: 309 Exposed: 265 Tadros et al .[78] (2012) the United States Control: - Exposed: 51 Shah et al .[68] (2011) the United States Primary care services Control: 160 Exposed: 98 Control: - Exposed: 36 Control: 96 Exposed: 96 Skinner et al. [72] (2009) the United Kingdom Control: 21 Exposed: 36 Case management including individual assessment, crisis intervention, individual and group supportive therapy, arrangement of stable housing and financial entitlements, linkage to medical care providers, referral to substance abuse services, ongoing assertive community outreach Control: 85 Exposed: 167 Control: 24 Exposed: 24 Control: 131 Exposed: 136 Control: 41 Exposed: 39 Kurant et al. [51] (2018) the United States Copeland et al. [28] (2017) the United States Pena et al. [58] (2014) the United States Weilburg et al. [80] (2017) the United States Primary care physicians & speciality care physicians Konger et al .[50] (2016) the United States El-Othmani et al. [33] (2019) the United States Kim & Lee [48] (2020) Korea Wasfy et al. [79] (2019) the United States Calsolaro et al. [25] (2019) Italy Compering stand-alone admissions, index admissions and potentially preventable read missions Notes: RCT Randomised controlled trial, ED Emergency Department, CM Case Management, NCBA Non-controlled before-and-after studies, LES Laboratory expert system, HIT Health Information Technologies, EMS Emergency medical services, POE Physician’s order entry, CDSS Before Clinical Decision Support System, HMO Health maintenance organisation Fourteen studies (21.9%) were randomized controlled trials [22, 23, 43, 47, 49, 52, 53, 55, 62, 66, 69, 70, 73, 74], three were multicenter research trials [36, 63, 76], two were quasi-experimental studies [31, 67], four were controlled before-and-after studies [30, 68, 72, 85], twenty-one studies (32.8%) were non-controlled before-and-after studies (NCBA) [24, 27–29, 32, 35, 37–39, 41, 42, 50, 54, 56–61, 75, 78], three were time-series studies [26, 34, 44], three were case-control studies [64, 65, 84], one was a prospective cohort study [77], one was longitudinal study, six were retrospective cohort studies [25, 33, 79–82], and four were cross-sectional studies [40, 45, 71, 83]. While, in two studies were not stated type of design [48, 51]. Fourty studies (59.7%) can be categorized as assessing interventions targeted at the patient journey during hospital stay or medical center-based interventions [22–24, 26, 27, 29, 30, 34, 37, 39, 40, 42, 44, 45, 49, 54, 56, 57, 59–63, 65, 69, 70, 72, 74, 75, 78, 81–83, 85]; four evaluated interventions aimed at discharge [41, 47, 55, 76], Not; and 13 examined community-based interventions [31, 35, 38, 43, 46, 52, 53, 64, 66–68, 73, 77].

Methodological quality assessment

In the overall assessment, the methodological quality of only one reviewed study (1.5%) was rated as ‘strong’, while seven (11%) and 56 (87.5%) articles were rated as ‘moderate’ and ‘weak’, respectively (Appendix). In terms of study design, 21 studies (32.8%) were rated as ‘strong’. The remaining 13 studies (20.3%) scored ‘moderate’ and 30 studies (46.9%) scored ‘weak’. We were able to rate 39 studies for representativeness relating to withdrawals and drop-outs: 25 (64.1%) studies rated as ‘weak’, four (10.3%) as ‘moderate’, and ten (25.6) as ‘strong’. With respect to confounders, 11 (17.2%) studies were rated as ‘strong’, six (9.4%) as ‘moderate’, and 47 (73.4%) as ‘weak’. There were 23 studies (35.9%) rated as ‘weak’ for their data collection because the authors did not provide sufficient information on the validity or reliability of their collection methods. There were 37 papers (57.8%) rated as ‘moderate’ and four papers (6.3%) rated as ‘strong’. Based on the data analysis of each reviewed study, 36 (56.3%) of the reviewed studies were rated as ‘strong’, while 12 (18.8%) and 16 (25.0%) were rated as ‘moderate’ and ‘weak’, respectively. The reporting quality of the reviewed articles was also analysed. Out of the 64 articles included, 36 studies (56.3%) were rated as ‘strong’, 21 studies (32.8%) and seven studies (10.9%) were rated as ‘moderate’ and ‘weak’, respectively.

Nine broad utilisation management methods

We identified nine broad utilisation management methods: care plan, case management, care coordination, utilisation review, clinical information system, physician profiling, consultation, education, and discharge planning. The findings related to these nine methods are described below in Table 2, using sub-categories of the following main types of interventions: non-organisational interventions aiming to reduce hospital utilisation, organisational interventions to reduce hospital utilisation, and interventions at the discharge stage of the patient journey.
Table 2

Reported measures and outcomes

Author(Year)CountryType of interventionMain Outcome MeasureOutcomesStatistically significant(P < .05)
ControlIntervention
BeforeAfterDifferenceBeforeAfterDifference
Sandberg et al. [66] (2015) SwedenCase managementNo. of admissions, mean0.620.480.480.49No
LOS, mean3.904.055.054.60No
No. of ED visits leading to hospitalization, mean0.360.420.390.34No
No. of ED visits not leading to hospitalization, mean0.220.370.150.08Yes
Proportion of ED visits not leading to hospitalisation16 (38.1%)23 (46.7%)12 (27.9%)4 (17.4%)Yes
No. of outpatient visits, mean6.105.295.304.09Yes
Haldiman et al. [40] (2014) the United StatesProspective reviewNo. of FFPs transfused per 1000 patients discharged per yearY1: 66.7Y4: 46.9- 19.8 (−29.7%)Yes
No. of platelets transfused per1000 patient discharged per yearY1: 23.7Y2: 18.7-5 (−21.1%)Yes
Annual cost savings$130,000,000NR
Goodnough et al. [37] (2014) the United StatesConcurrent review% of blood transfusions in patients whit HB levels exceeded 8 g/dl57%30%Yes
Total RBC transfusions

− 7186

(−24%)

NR
Total plasma transfusions−10%NR
Total platelets transfusions−12%NR
All blood components−19%NR
Net savings$1,616,750NR
Joo [46] (2014) the United StatesCase managementNo. of AdmissionsY1: 0.62Y2: 0.47Yes
Total LOSY1: 3.05Y2: 2.28No
NO. of ED visitsY1: 0.38Y2: 0.36No
Symptom control

B: 4.07

Y1: 4.19

Y2: 4.27Yes
Quality of life

B: 3.89

Y1: 4.01

Y2: 4.03Yes
Personal well-being

B: 4.09

Y1: 4.13

Y2: 4.14No
Buckley et al. [24] (2013) the United StatesDrug-utilisation management programThe proportion of patients prescribed epoetin2.4%1.6%Yes
No. of patients inappropriately prescribed epoetin184/496 (37.1%)37/300 (12.3%)Yes
Total no. of epoetin units administered24,531,34013,511,800−45%Yes
Total epoetin costs$220,786 ($36,797/mo)$121,606 ($20,268/mo)−45%Yes
% of total costs was attributed to inappropriate epoetin prescribing36.8%13%Yes
Annual cost savings$ 198,352 ($ 16,529/mo)Yes

Reinius et al. [62]

(2013) Sweden

Case managementNo. of ED visits6.44.9RRs 0.77; 95% CI 0.69-0.87
No. of admissions, mean2.11.7No
No. of hospital days per patient per year16.97.0−58%Yes
No. of out-patient visits, mean25.421.4−15.7%RRs 0.85; 95% CI 0.79–0.90
Costs per patient per year€26,490€11,417−57%Yes
Quality-of-life scoresYes

Crane et al. [30]

(2012) the United States

Case managementNo. of ED visits, median6.965.04−1.926.962.76−4.2Yes
Total ED and inpatient charges per patient per mon, mean$1167$230-$937Yes
Roland et al. [64] (2012) the United KingdomCase managementNo. of emergency admissions+ 9%Yes
No. of elective admissions−21%Yes
No. of out-patient visits−22%Yes
Inpatient and out-patient costs

-£223

−9%

Yes
Koehler et al. [49] (2009) the United StatesCare coordinationNo. of 0-30 day post-discharge readmissions/ ED visits8 (38%)2 (10%)Yes
No. of 31-60 day post-discharge readmissions/ED visits1 (4.8%)4 (20%)No
Total post-discharge readmissions/ED visits at 60 days9 (42.9%)6 (30%)No
Schraeder et al. [67] (2008) the United StatesCase managementAdmissions, %53.851No
Hospital bed days, mean13.898.19Yes
ED visits, mean1.791.48No
Readmissions28.8%19.2%−34%Yes
Cost of care per patient per mon, mean$708$1193-$485Yes
Adjusted cost of care per patient per mon (cost savings)$106No
Holsinger et al. [42] (2008) the United StatesCollaborative model1-day hospital stays−19%NR
Sweeney et al. [77] (2007) the United StatesPatient-centred managementNo. of admission, mean1.91.2−36.8%Yes
Hospital days, mean13.48.5−36.6%Yes
No. of ED visits, mean1.51.0−33.3%No
Rehabilitation days, mean5.83.7−36.2%No
Hospice days, mean2.43.337.5%No
Home care days, mean30.936.826.6%No
The overall cost per patient for 18 mon, mean$ 68,341$ 49,742

$ -18,599

(−27.2%)

NR

Phillips et al. [59]

(2006) Australia

Case managementAdmissions, sum of the percentage1104931No
No. of ED visits, mean10.213.0+ 2.8 (27.4%)No P = 0.55
ED LOS, minutes, mean297300+ 3No
No. of ED overnight observation, mean1.33.4+ 2.1 (166%)Yes
Housing stability score3.64.10.5 (14%)Yes
Primary care engagement score2.63.10.5 (19%)Yes
Community care engagement score2.13.21.1 (52%)Yes
Drug and alcohol use68.3%58.9%No
Sledge et al. [73] (2006) the United StatesCase managementNo. of admissions, mean2.01.7−0.31.91.3−0.6No
No. of ED visits, mean3.32.7−0.62.01.5−0.5No
No. of clinic visits, mean5.95.7−0.26.47.9+ 1.5Yes
Total cost, mean$17,721$15,447-$2274$17,265$16,291-$974No
SF-36 Mental Health Function Score21.7220.321.321.40.1No
Overall patient satisfaction7.246.7−0.547.477.60.13No
Mahendran et al. [54] (2006) SingaporeCase managementNo. of readmissions6526−39Yes
No. of patients who defaulted follow-up appointmentsAll outpatient: 24%CM patient: 11.9%Yes
No. of days per admission, mean15.64−11.6Yes
Zemencuk et al. [85] (2006) the United StatesPhysician profilingLOS− 0.32 dayYes

Latour et al. [52]

(2006) the Netherlands

Case managementReadmission rate11 (15.9%)16 (20.6%)No
Quality of lifeNo
Psychological functioningNo

Hegney et al. [41]

(2006) Australia

Discharge planning using risk screening toolED revisitation rate21%5%−16%Yes
Readmission rate9 (10.2%)7 (4.7%)−2 (5.5%)No
ALOS6.175.37−0.8NR

Horwitz

et al. [43] (2005) the United States

Case managementNo. of admission

7/109

(6.4%)

3/121 (2.5%)No
No. of ED visits32/109 (29.4%)38/121 (31.4%)No
Primary care contact in 60 days15/109 (13.8%)62/121 (51.2%)Yes
Cost of an ED visit, mean$330$319$330$243NR
Leung et al. [53] (2004) ChinaCase managementTotal no. of admissions, mean1.42.73.02.3Yes
Total no. of hospital bed days, mean6.810.712.99.6Yes
Total no. of visits, mean0.40.80.50.3No
Total no. of outpatient visits, mean6.76.99.08.3Yes
Cox et al. (2003) [29] the United StatesCase managementNo. of admissions, mean3.110.82−2.29Yes
Hospital days, mean46.612.4−34.2Yes
Cost-saving per inpatient day$ 166Yes

Hwang et al. [44]

(2002) Korea

Physician’s order entry systemLOS, mean11.48.2−3.2Yes
No. of daily orders10.918.9+ 8Yes
No. of stat lab tests3.31.8−1.5Yes
Fateha [34] (2002) BahrainConcurrent ReviewLOS, mean8.36.6−1.7 (−20.5%)Yes
Ferrazzi et al. [35] (2001) CanadaAdvanced life support drug treatment given by ambulance attendantsProportion of admissions145 (67.4%)102 (54.3%)Yes
ED LOS, min, mean-206.9220.9−14No
Ambulance scene time, min12.314.2Yes
Okin et al. [57] (2000) the United StatesCase managementNo. of ED visits, median159−6 (−40%)Yes
No. of out-patient visits, median24Yes
No. of admissions, median11No
Medical inpatient days, median52No
ED costs, median$4124$2195$-1938Yes
Medical inpatient costs, median$8330$2786$-1082Yes
Medical out-patient costs, median$476$612$94No
Homelessness3515−20 (−57%)Yes
Alcohol use3729−8 (−22%)Yes
Drug use2720−7 (−26%)Yes
Linkage to primary care+ 74%Yes
Net cost savings$132,726NR

Bates et al. [22]

(1999) the United States

Computerised physician order entryNo. of clinical laboratory orders that were cancelled in response to remindersNot applicable300 of 437 (69%)Yes
The proportion of the redundant tests that were performed257 (51%)117 (27%)Yes
Annual lab cost savings$35,000NR
Wickizer et al. [82] (1998) the United StatesUtilisation management strategiesNo. of days approved−50%Yes
Spillane et al. [74] (1997) the United StatesCase managementNo. of ED visits, median136−7147−7NO

Bree et al. [23]

(1996) the United States

Pre-certificationNo. of examinations per admission, mean4.44.4No
LOS, mean6.16.0No
% of patients with one or more tests88.7%88%No
Relative value units (RVUs), mean.336.0356.1No
Adjusted RVUs−10.2−8.8No

Shea et al. [69]

(1995) the United States

Clinical information systemAdjusted LOS, mean0.012−0.011−2.3%Yes

Cardiff et al. [26]

(1995) Canada

Utilisation managementInappropriate admissions

C: 26 (18%)

D: 36 (23%)

C: 18 (13%)

D: 48 (30%)

A: 71 (24%) B: 78 (26%)A: 88 (29%) B: 68 (23%)Among hospitals in both time period: Yes
Adjusted inappropriate continued days of stay

C: 0.0656

D: 0.0617

C: 0.0665

D: 0.0906

A: 0.1597

B: 0.1224

A: 0.0770

B: 0.0918

B: Yes

A,C,D: No

30-day readmission (rate per 1000 discharge)

C: 105

D: 92

C: 96 D: 76A: 83 B: 73

A: 71

B: 60

A,B,D: Yes

C:No

Styrborn [76]

(1995) Sweden

Discharge planningAdjusted LOS

B: 10.5

C: 10.9

A: 9.6A-(B + C): −1.1No
No. of bed-blocking patients

B: 35

C: 35

A: 31−4NR
Waiting days/patient

B: 11.3

C: 18.0

A: 8.2A-(B + C): −6.4Yes
Charge days per patient

B: 6.2

C: 13.4

A: 4.2A-(B + C): −5.6Yes
Rosenberg et al. [65] (1995) the United StatesUtilisation review, second opinion, discharge planning, case managementNo. of out-patient procedure913789−124Yes
No. of inpatient procedure45246614No
No. of admission per 1000 patients625.4641.816.4No
Adjusted LOS5.96.10.2No
Adjusted ALOS, mean5.86.10.3No
Jambunathan et al. [45] (1995) the United StatesCase managementNo. of case management visits/Adjusted LOS (r-value).6138Yes
Williams et al. [83] (1994) AustraliaDrug utilisation reviewNo. of patients using benzodiazepines30 (40%)15 (20%)−15 (−20%)Yes
No. of patients using potentially adverse side-effects drug combinations (%)21 (28%)7 (9.3%)−14 (− 18.7%)Yes

Wickizer [81]

(1992) the United States

Utilisation reviewNo. of admissions−12%Yes
Adjusted LOSNo
Hospital routine costs−8%Yes
Hospital ancillary costs−9%Yes
Total medical cost− 6%Yes
Cost savings per employee per year$115NR
Woodside et al. [84] (1991) the United StatesUtilisation management strategiesAdjusted LOS11.89.1−23%NR
Total costs, mean$22,695$19,042−16%NR

Silver et al. [71]

(1992) the United States

Prospective reviewNo. of orders cancelled114 (21%)NR
Medical costs-$22,000NR

Fowkes et al. [36]

(1986) the United Kingdom

Utilisation reviewNo. of X-ray tests per100 operations29.413.3−16.1Yes

Echols et al. [32]

(1984) the United States

Drug utilisation reviewNo. of antibiotic treatment courses−30%Yes
No. of patients receiving any antibiotic47%30%−17%Yes

Restuccia [63]

(1982) the United States

Utilisation reviewNo. of inappropriate days, meanD: 3.25

A: 2.59

B: 2.75

C: 3.25

A-D: −0.66

B-D: −0.5

C-D: 0

Yes
Adjusted LOS, meanD: 14.59

A: 12.23

B: 13.81

C: 15.23

A-D: −2.36

B-D: −0.78

C-D: 0.64

Yes

Murphy [56] (2014) the United

States

Case managementNo. of ED visits72−5Yes
No. of out-patient visits72−5Yes
Direct treatment costs$2328$1043-$1285Yes
Direct treatment cost per visit$323$235-$88Yes
Net income-$608-$177$431Yes

Chiang et al. [27]

(2014) Taiwan

Case managementNo. of ED visits, mean6326−37 (−58%)Yes

Pillow et al. [60]

(2013) the United States

Care plansNo. of ED visits per year per patient22.621.2−1.4Yes
No. of admissions per year per patient7.36.8−0.5No
Dehaven et al. [31] (2012) the United StatesCommunity-based partnershipNo. of ED visits, mean1.440.93Yes
No. of hospital days, mean1.070.37Yes
Direct hospital costs, mean$1188$445.6−62%Yes
Indirect costs, mean$692.1$313.3−55%Yes

Tadros et al. [78]

(2012) the United States

Case managementNo. of EMS visits, median84−4Yes
Total no. of EMS visits736459−37.6%Yes
No. of ED visits, median10−1No
Total no. of ED visits199143−28.1%No
No. of admissions, median000No
Total no. of admissions3330−9.1%No
LOS, median000No
LOS, days12288−27.9%No
EMS costs$689,743$468,394−32.1%Yes
Out-patient costs$413,410$360,779−12.7No
Inpatient costs$687,306$646,881−5.9%No
Total costs$1,790,459$1,476,053

-$314,406

(−17.6%)

NR

Shah et al. [68]

(2011) the United States

Care managementNo. of ED visits per year, median6.01.7−3.9Yes
No. of admissions, median0.00.00.0No
Unadjusted ED cost per patient per year, mean$2545$1874

-$671

(−26%)

Yes
Unadjusted admission cost per patient per year, mean$ 20,298$ 7053

-$ 13,245

(−65%)

Yes
Stokes-Buzzelli S et al. [75] (2010) the United StatesHealth Information TechnologiesNo. of ED visits, mean67.450.5

−16.9

(−%25)

Yes
ED LOS, min388342−46 (−%12)No
Lab studies ordered, mean18471328−519 (−%28)Yes
ED charges$64,721$49,208

−15,513

(−24%)

Yes
Total Emergency Department Contact Time, hours443.7270.6

− 173.1 or 7.21 days

(−39%)

Yes

Grimmer-

Somers et al. [38] (2010) Australia

Individualised care

plan

No. of ED visits0.810.59NR
No. of admissions0.320.21NR
LOS−1.3NR

Grover et al. [39]

(2010) the United States

Case managementNo. of ED visits, mean13.83.6−74%Yes
No. of CT images153.661.2−60%Yes
Skinner et al. [72] (2009) the United KingdomCase managementNo. of ED visits, median126−6Yes
Total no. of ED visits720499− 221 (−31%)Yes
Shumway et al. [70] (2008) the United StatesCase managementNo. of ED visits, mean5.22.03.60.9Yes
No. of admissions, mean0.90.30.80.3No
Medical inpatient days, mean3.41.73.41.3No
No. of outpatient visits, mean2.52.62.72.2No
ED costs, mean942647790247Yes
All hospital costs, mean8423384985084761No
Homeless, n (%)32 (80)11 (33)61 (76)22 (32)Yes
Problem alcohol use, n (%)21 (53)12 (30)38 (48)22 (28)Yes
No. of health insurance (%)31 (78)17 (53)59 (75)30 (44)Yes
No. of social security income (%)29 (74)18 (58)63 (79)26 (43)Yes
Basic financial needs, mean4.43.75.23.8Yes
Psychiatric symptoms (total BSI score), mean10.09.811.610.4No
Pope et al. [61] (2000) CanadaCase managementNo. of number of ED visits, median26.56.5−20Yes
Total no. of ED visits616175− 441 (−72%)Yes
Moher et al. [55] (1992) CanadaDischarge planningLOS, mean9.47.43−1.97Yes
Readmission rate at 2 weeks18 (14%)22 (16%)No
Kennedy et al. [47] (1987) the United StatesDischarge planningLOS, mean9.77.8−1.9Yes
Readmission rate at 8 weeks14 (34%)11 (28%)−6%NR
Kurant et al .[51] (2018) the United StatesLaboratory-based utilisation management programs
Copeland et al. [28] (2017) the United StatesModellingTotal imaging per patientRRs 1.93; 95% CI 1.67–2.23

Pena et al .[58]

(2014) the United States

Blood management program, benchmarkingTotal RBC transfusions37,16734,602Yes
Total plasma transfusions10,544NR
Total platelets transfusions82027844NR
Total albumin transfusions23,94924,557NR
Total IVIg transfusions52,08544,973
Weilburg et al. [80] (2017) the United StatesAnalysis of high-cost imaging utilisationNo. of high-cost imaging per year0.43 examinations0.34 examinations- 21.3%Yes
Overall laboratory utilisation−9.4%Yes
Inpatient stays0.4530.422No
No. of departments visited0.5580.823Yes

Konger et al. [50]

(2016) the United States

Reductions in unnecessary clinical laboratory testingTotal test volume per year−11.18%Yes

El-Othmani

et al. [33] (2019) the United States

Joint utilisation management programLOS9.276.24.223.04
The rate of 30 day readmission21.0523.509.948.0
Inpatient rehabilitation15.795.885.93.08
Kim & Lee [48] (2020) KoreaCase ManagementInpatient days30.510.6
Outpatient visits128.3104.7
Self-care ability15.4118.64
Wasfy et al. [79] (2019) the United StatesHospital Readmissions reduction ProgramIn-patient readmission0.0230.002yes
Treat-and-discharge visit to emergency department0.0140.029yes
Observation stay (not leading to inpatient readmission)0.0190.024yes
Calsolaro et al. [25] (2019)Hospital Readmissions Reduction ProgramPotentially preventable read-missions (PPR)
LOS (median and range)5 (4-6)6 (2-14)
Reported measures and outcomes − 7186 (−24%) B: 4.07 Y1: 4.19 B: 3.89 Y1: 4.01 B: 4.09 Y1: 4.13 Reinius et al. [62] (2013) Sweden Crane et al. [30] (2012) the United States -£223 −9% $ -18,599 (−27.2%) Phillips et al. [59] (2006) Australia Latour et al. [52] (2006) the Netherlands Hegney et al. [41] (2006) Australia Horwitz et al. [43] (2005) the United States 7/109 (6.4%) Hwang et al. [44] (2002) Korea Bates et al. [22] (1999) the United States Bree et al. [23] (1996) the United States Shea et al. [69] (1995) the United States Cardiff et al. [26] (1995) Canada C: 26 (18%) D: 36 (23%) C: 18 (13%) D: 48 (30%) C: 0.0656 D: 0.0617 C: 0.0665 D: 0.0906 A: 0.1597 B: 0.1224 A: 0.0770 B: 0.0918 B: Yes A,C,D: No C: 105 D: 92 A: 71 B: 60 A,B,D: Yes C:No Styrborn [76] (1995) Sweden B: 10.5 C: 10.9 B: 35 C: 35 B: 11.3 C: 18.0 B: 6.2 C: 13.4 Wickizer [81] (1992) the United States Silver et al. [71] (1992) the United States Fowkes et al. [36] (1986) the United Kingdom Echols et al. [32] (1984) the United States Restuccia [63] (1982) the United States A: 2.59 B: 2.75 C: 3.25 A-D: −0.66 B-D: −0.5 C-D: 0 A: 12.23 B: 13.81 C: 15.23 A-D: −2.36 B-D: −0.78 C-D: 0.64 Murphy [56] (2014) the United States Chiang et al. [27] (2014) Taiwan Pillow et al. [60] (2013) the United States Tadros et al. [78] (2012) the United States -$314,406 (−17.6%) Shah et al. [68] (2011) the United States -$671 (−26%) -$ 13,245 (−65%) −16.9 (−%25) −15,513 (−24%) − 173.1 or 7.21 days (−39%) Grimmer- Somers et al. [38] (2010) Australia Individualised care plan Grover et al. [39] (2010) the United States Pena et al .[58] (2014) the United States Konger et al. [50] (2016) the United States El-Othmani et al. [33] (2019) the United States

Prehospital advanced life support drug treatment

These interventions focused on access to primary care, medical and social resources. For example, two studies [31, 68] evaluated interventions that aimed to improve access to primary care. Studies suggest that improving access to primary care centres is associated with fewer ED visits [31, 68], fewer inpatient hospital days than controls [31], but report no difference in inpatient admissions between groups [68]. One retrospective cohort study examined the effect of prehospital advanced life support drug treatment in reducing subsequent hospital utilisation by the medical patients receiving such drugs [35]. There was a significant decrease in admissions in the drug intervention group driven by chest pain patients and improved prehospital field conditions for all chief complaints. Care plan and case management were the main interventions related to prehospital advanced life support drug treatment. Two comparative cohort studies examined the impact of patient care plans on service utilisation [38, 77]. Sweeney et al. [77] compared patient-centred management to usual case management for patients who had a life-limiting diagnosis with multiple comorbid conditions. Among the patient-centered management, inpatient admissions reduced by 38%, inpatient hospital days by 36%, and emergency department visits by 30%. Grimmer-Somers et al. [38] found that a holistic community-based program using a care plan for frequent ED attendees had significant improvements in client health and decreased crisis emergency department and inpatient admissions.

Case management

Primary care case management

Case management is “a collaborative process that assesses, plans, implements, coordinates, monitors, and evaluates the options and services required to meet an individual’s health needs using communication and available resources to promote quality and cost-effective outcomes” [50]. Eight studies focused on using case management interventions based outside the hospital. Five studies reported a decrease in hospital utilisation [45, 46, 64, 66]. Three studies found no significant difference between groups in neither ED visits nor hospital admissions [43, 67, 73].

Hospital-based case management

Of 23 studies evaluating case management interventions, 12 focused on case management as an ED-initiated or medical centre-based intervention for frequent hospital utilisers. Six comparative cohort studies observed a decrease in the mean or the median number of ED visits than the controls [30, 72] or before the case management [27, 39, 57, 61]. One study reported an increase of 2.79 median ED visits post-intervention [59]. This study included primarily patients with substance abuse or psychiatric problems underlying the ED visits, suggesting case management may be less effective in reducing ED utilisation in this population. One RCT reported no significant difference in the median number of ED visits following CM [74]. In contrast, two RCTs reported a decrease in the number of ED visits [62, 70] and hospital days [64] among those in the intervention group. Two studies have examined changes in hospital admissions or LOS, found a significant decrease in the number of admissions [29], hospital readmissions [54] and LOS.

Care coordination

Two studies examined the impact of care coordination programs on ED visit rate amongst frequent ED users [49, 56]. The randomised controlled pilot study by Koehler et al .[49] found that hospital-based care coordination using extra care bundle comprising three interventions (medication counselling, enhanced discharge planning, and phone follow-up) targeting high-risk older people compared to usual care was successful in reducing 30-day post-discharge hospital readmission or emergency department visit rates. The comparative cohort study by Murphy et al. [56] implemented a multidiscipline ED-care coordination program using a regional hospital information system capable of sharing patients’ individualised care plans between ED providers. The study reported a significant decrease in ED visits 12-months following the intervention.

Utilisation Review

The utilisation review program consists of several different review activities: pre-admission authorisation (prospective review), concurrent review (during the patient stay), retrospective review (relying on medical records), prospective review. One study investigating a pre-admission review program found a decrease in hospital admissions by approximately 12% [81]. Of eight studies that examined the effect of concurrent review on the LOS, five studies found a decrease in hospital LOS [26, 34, 63, 82, 84]. Another study that examined the effect of utilisation review on patterns of health care use found that the referrals for a second opinion have reduced the number of procedures performed in the review group. However, there was no significant difference between the groups during the study period in terms of rates of admission to medical-surgical, substance abuse, or psychiatric units, average LOS, the percentage of those who received pre-admission testing, or the rates of use of home care following utilisation review activities [65]. A retrospective analysis of utilisation management programs has concluded that pre-admission review rarely denies requests for admission, and nearly one-third of patients approved by pre-admission review for inpatient care requested approval for continued stay through concurrent review [82]. One multicenter trial examined the effect of utilisation management strategies on the use of a radiological test [36]. There was a consistent reduction from 29.4 to 13.3 X-rays per 100 operations after introducing the new request form and concurrent review. Two studies that evaluated the effectiveness of a prospective review program in reducing blood component utilisation reported that the implementation by the blood bank staff of a prospective review of orders for blood products resulted in a significant decrease of 38.8% and 31.4% in the use of fresh frozen plasma and platelets, respectively [40], as well as a total reduction inpatient medical costs realised as a result of cancelled orders [71]. Due to the importance of drug utilisation, this type of utilisation review has been categorised as a primary intervention.

Drug utilisation review

Three studies focused on drug utilisation review interventions. One study reported a significant decrease in the number of antibiotic treatment courses and the percentage of patients receiving any antibiotic following implementing an antibiotic order form for all inpatient antibiotic orders in the hospital [32]. The second study reported a significant decrease from 40% to 20% of patients using benzodiazepines after drug utilisation review activities in an inpatient setting [83]. Another retrospective cohort study examined the effect of implementing a drug utilisation management program and evidence-based guidelines on the appropriate use of drugs and found that implementing a drug-utilisation management program using clinical pharmacists was associated with a decrease in inappropriate epoetin prescribing and significant cost savings [24].

Clinical information system

A clinical information system is a computer-based system encompassing clinical or health-related information, distinguished from administrative information systems by the requirement for data entry or data retrieval by clinicians at the point of care. Some areas addressed by clinical information systems are clinical decision support, electronic medical records, physician’s order entry, telemedicine, problem lists, summary reports, results review, nursing protocols and care plans, and alerts and reminders. Recently, interests have been focusing on medical errors with monitoring and managing variation in practice [86]. Electronic medical records and physician’s order entry systems, and clinical decision support are the primary interventions related to clinical information systems.

Electronic Medical Record

One before-after analysis of an intervention targeting ED frequent users reported that the use of health information technologies to identify the most frequently visiting patients and easy access to individualised care plans through the EMR to all healthcare providers resulted in a significant reduction in the number of ED visits, labs ordered, total ED contact time, and ED charges [75].

Physician’s order entry system

A physician’s order entry system is a subsystem of a hospital information system. One prospective time series study reported that the number of stat lab tests and overall LOS at six months after physician’s order entry implementation decreased significantly compared with the pre- physician’s order entry system period [44]. Using a randomised controlled design, Shea et al. [69] demonstrated that a computer-generated informational message directed to physicians as an intervention resulted in reduced LOS in an inpatient setting. According to Bates et al. [22], 69% of potentially redundant diagnostic tests were cancelled in response to reminders following the introduction of a clinical information system that included a physician’s order entry system.

Clinical decision support

A clinical decision support system is a computer-based application that analyses data and provides knowledge and person-specific information to aid physicians and other health providers in clinical decision making [87]. One study that evaluated real-time clinical decision support intervention observed improved blood utilisation. After implementing clinical decision support system, the percentage of patients transfused outside the guidelines decreased to 35% [37].

Physician profiling

Physician profiling is a cost-containment strategy whereby the patterns of health care provided by a practitioner or other provider (e.g., hospital) for the defined population are compared to other norms - profiles of other physicians or practice guidelines - based on practice [88]. A quasi-experimental study with control groups found that LOS at the profiled site decreased by an additional third of a day in the profiling year than at the non-profiled sites [85].

Consultation

The randomised controlled trials by Bree et al. [24] implemented mandatory radiology consultation whereby each radiology examination required prior approval. This intervention did not observe differences in inpatient imaging use following the mandatory radiology consultation.

Discharge planning

Discharge planning refers to developing a plan to treat the patient’s medical needs after leaving the inpatient department to contain costs and improve patient outcomes. Discharge planning should ensure that patients leave the hospital at an appropriate time in their care and that, with adequate notice, the provision of post-discharge services is organised [89]. We identified three studies that focused on interventions at the discharge stage of the patient journey [41, 47, 55]. All three studies that examined the effect of discharge planning on LOS in hospital and readmission rates compared with usual care found a decrease in hospital LOS for those allocated to discharge planning. There were lower readmission rates in the discharge planning group for older participants with a medical condition at three months of discharge [41, 47].

Early supported discharge

Discharge planning typically involves a greater degree of care provision and support following discharge than discharge planning interventions. Early supported discharge or early home-supported discharge may include discharge planning but aims specifically to accelerate discharge from the hospital with continued support in a community setting, typically at the same intensity that would have been provided had the patient remained in hospital. These interventions are usually provided by multidisciplinary teams, including doctors, nurses, and therapists. Still, the degree of coordination and whether they are driven by hospital outreach or community teams can vary [89].

Post-discharge case management

Two RCTs have examined the effectiveness of case management provided after patients are discharged from the hospital regarding the utilisation of hospital services by these patients. One study found a significant reduction in hospital admissions, bed-days and attendances at the out-patient department [53]. In contrast, the second study did not find significant differences between groups for readmission, care utilisation, quality of life, or psychological functioning [52].

Cost outcome

Of all included studies, 23 studies provided cost-related outcomes. Six studies reported savings after implementing utilisation review programs [24, 37, 40, 81, 84] or a computerised physician order entry system [22]. One study reported cost savings from reduced days of hospitalization [29]. Ten studies reported significantly reduced hospital charges [30, 31, 56, 62, 64, 67, 68, 77] or ED costs after the intervention [43, 75]. One randomised controlled trial of 96 patients observed a trend toward reduced total healthcare cost in the experimental group, but the difference was not statistically significant [73]. Two studies reported a mixed effect - one reported a significant decrease in ED and medical inpatient costs but no apparent change in the cost of medical out-patient, psychiatric inpatient, psychiatric emergency, or ambulance services [57]. The other found a significant decrease in ED costs. However, no difference was reported for inpatient services, psychiatric emergency services, out-patient services, physicians’ fees, or total hospital costs, with the cost of case management included [70]. Also, one study reported program costs with no assessment of net costs or savings [38].

Education

Developing education programs for patients, families and health care providers (i.e., nurses or physicians) is considered the primary intervention in many countries [49, 67, 77, 90]. The goal of the education programs is to provide health care providers with the principles of utilisation management.

Discussion

Our review identified nine utilisation management methods, including care plan, case management, care coordination, utilisation review, clinical information system, physician profiling, consultation, education, and discharge planning. Of all interventions reported in the reviewed studies, case management strategy was the most frequently examined. Disease management is considered an effective strategy for dealing with frequent hospital users with specific diseases (e.g., congestive heart failure or diabetes). Whereas disease management focuses on particular illnesses, case management is focused on optimising multidisciplinary treatment. We identified several models of case management, such as brokerage [54], assertive community treatment [46], intensive case management [29, 39], clinical case management [57, 70], and different case management models (i.e., strengths-based case management, generalist case management, rehabilitation). Our findings suggest that interventions aimed to increase primary care accessibility and case management effectively reduce ED visitation [31]. Though mostly uneven in methodological rigour, studies indicate that pre-admission review for hospitalisation is highly effective in reducing hospital admissions. The implementation of utilisation management interventions increased out-patient visits, possibly reflecting the link of frequent hospital users to other services. Overall, studies that focused on interventions during the patient stay in the hospital (e.g., concurrent review) and interventions at the discharge stage of the patient journey (e.g., discharge planning) effectively reduce the LOS. However, the limited evidence showed that mandatory radiology consultation interventions were ineffective in reducing inpatient imaging use. As a good outcome, introducing the clinical information systems (e.g., physician’s order entry system) reduced LOS. Such automated access to patient records improved the efficiency of information exchange among physicians across the continuum of care. Clinical decision support systems, which consisted of interruptive best practice alerts at the physician’s order entry system, also significantly improved blood utilisation. We found that interventions directed towards supply, such as physician profiling, were associated with decreased LOS without adversely affecting physician satisfaction. However, such reductions were also observed among control groups in ED visit numbers [30, 70, 73, 74], hospital admissions [66, 70, 73] and LOS [70]. Case or care management and utilisation review interventions were consistently reported to reduce hospital costs, and no studies reported increases in hospital costs following the intervention. There were several limitations to this review. First, there is marked heterogeneity among reviewed studies. Second, in an attempt to focus on the literature concerning the general adult frequent user populations, studies were excluded that did not examine a general population (e.g., pediatric, individuals with asthma, cancer, diabetes, and cardiovascular disease) or focused on a specialised out-patient care setting.

Conclusion

To ensure the delivery of efficient and effective health care, to reduce the misuse of inpatient and outpatient services, the use of utilisation management strategies in hospitals is unavoidable. The use of relevant strategies and interventions allows for avoiding unintended consequences emanating from the financial incentives and disincentives on health care professionals’ decisions around care and service delivery.
Appendix Table

Quality assessment of included studies

Authors (year)Study DesignBlindingSelection BiasWithdrawals/ Drop-OutsConfoundersData CollectionData AnalysisReportingOverall
1. Sandberg et al. (2015) [66]StrongWeakStrongStrongWeakStrongStrongStrongStrong
2. Haldiman et al. (2014) [40]ModerateNo ratingWeakNo ratingWeakWeakWeakWeak Weak
3. Goodnough et al. (2014) [37]WeakNo ratingNo ratingNo ratingWeakModerateModerateWeak Weak
4. Joo (2014) [46]ModerateNo ratingWeakWeakWeakStrongStrongStrong Weak
5. Buckley et al. (2013) [24]WeakNo ratingNo ratingNo ratingWeakModerateWeakStrong Weak
6. Reinius et al. (2013) [62]StrongModerateModerateStrongWeakWeakStrongStrong Weak
7. Crane et al. (2012) [30]StrongWeakWeakWeakWeakWeakModerateStrong Weak
8. Roland et al. (2012) [64]ModerateNo ratingWeakModerateWeakWeakModerateModerate Weak
9. Koehler et al. (2009) [49]StrongWeakNo ratingStrongWeakModerateStrongStrong Weak
10. Schraeder et al. (2008) [67]WeakNo ratingWeakWeakStrongWeakStrongStrong Weak
11. Holsinger et al. (2008) [42]WeakNo ratingWeakWeakWeakWeakWeakWeak Weak
12. Sweeney et al. (2007) [77]StrongNo ratingWeakStrongWeakModerateWeakStrong Weak
13. Phillips et al. (2006) [59]WeakNo ratingWeakWeakWeakModerateStrongStrong Weak
14. Sledge et al. (2006) [73]StrongModerateModerateStrongWeakWeakStrongStrong Weak
15. Mahendran et al. (2006) [54]WeakNo ratingWeakWeakWeakWeakWeakModerate Weak
16. Zemencuk et al. (2006) [85]StrongWeakWeakWeakStrongWeakStrongStrong Weak
17. Latour et al. (2006) [52]StrongWeakModerateStrongWeakWeakStrongStrong Weak
18. Hegney et al. (2006) [41]WeakNo ratingWeakWeakWeakModerateStrongModerate Weak
19. Horwitz et al. (2005) [43]StrongWeakWeakWeakWeakWeakStrongModerate Weak
20. Leung et al. (2004) [53]StrongWeakWeakWeakWeakModerateStrongStrong Weak
21. Cox et al. (2003) [29]WeakNo ratingWeakWeakWeakWeakWeakModerate Weak
22. Hwang et al. (2002) [44]ModerateNo ratingStrongWeakWeakModerateStrongStrong Weak
23. Fateha (2002) [34]ModerateNo ratingNo ratingWeakWeakModerateModerateModerate Weak
24. Ferrazzi et al. (2001) [35]WeakNo ratingNo ratingNo ratingWeakModerateStrongStrong Weak
25. Okin et al. (2000) [57]WeakNo ratingNo ratingNo ratingWeakModerateStrongStrong Weak
26. Bates et al. (1999) [22]StrongWeakWeakWeakWeakWeakStrongStrong Weak
27. Wickizer et al. (1998) [82]WeakNo ratingWeakWeakModerateModerateStrongStrong Weak
28. Spillane et al. (1997) [74]StrongWeakWeakStrongWeakWeakModerateModerate Weak
29. Bree et al. (1996) [23]StrongWeakModerateWeakModerateModerateStrongStrong Weak
30. Shea et al. (1995) [69]StrongWeakModerateWeakStrongWeakStrongStrong Weak
31. Cardiff et al. (1995) [26]ModerateNo ratingWeakWeakWeakModerateStrongModerate Weak
32. Styrborn (1995) [76]StrongWeakStrongStrongWeakModerateStrongModerate Weak
33. Rosenberg et al. (1995) [65]ModerateNo ratingModerateModerateModerateWeakStrongStrong Moderate
34. Jambunathan et al. (1995) [45]ModerateNo ratingNo ratingNo ratingWeakWeakModerateStrong Weak
35. Williams et al. (1994) [83]ModerateNo ratingWeakNo ratingWeakWeakModerateModerate Weak
36. Wickizer (1992) [81]WeakNo ratingWeakWeakStrongModerateStrongModerate Weak
37. Woodside et al. (1991) [84]ModerateNo ratingWeakModerateWeakWeakWeakModerate Weak
38. Silver et al. (1992) [71]ModerateNo ratingNo ratingNo ratingWeakWeakWeakWeak Weak
39. Fowkes et al. (1986) [36]StrongWeakWeakWeakWeakWeakWeakWeak Weak
40. Echols et al.(1984) [32]WeakNo ratingWeakWeakWeakModerateModerateModerate Weak
41. Restuccia (1982) [63]StrongWeakWeakWeakStrongModerateStrongStrong Weak
42. Murphy (2014) [56]WeakNo ratingWeakWeakModerateModerateStrongStrong Weak
43. Chiang et al. (2014) [27]WeakNo ratingWeakNo ratingWeakModerateStrongStrong Weak
44. Pillow et al. (2013) [60]WeakNo ratingNo ratingNo ratingWeakModerateWeakModerate Weak
45. Dehaven et al. (2012) [31]ModerateNo ratingWeakNo ratingWeakModerateStrongStrong Weak
46. Tadros et al. (2012) [78]WeakNo ratingNo ratingNo ratingWeakModerateStrongStrong Weak
47. Shah et al. (2011) [68]StrongWeakNo ratingNo ratingStrongModerateStrongStrong Moderate
48. Stokes-Buzzelli et al. (2010) [75]WeakNo ratingNo ratingNo ratingWeakModerateModerateStrong Weak
49. Grimmer- Somers et al. (2010) [38]WeakNo ratingNo ratingNo ratingModerateModerateModerateModerate Weak
50. Grover et al. (2010) [39]WeakNo ratingNo ratingNo ratingWeakModerateModerateStrong Weak
51. Skinner et al. (2009) [72]WeakNo ratingNo ratingNo ratingWeakModerateModerateModerate Weak
52. Shumway et al. (2008) [70]StrongWeakWeakWeakStrongStrongStrongStrong Weak
53. Pope et al. (2000) [61]WeakNo ratingWeakWeakWeakWeakWeakModerate Weak
54. Moher et al. (1992) [55]StrongWeakStrongStrongWeakWeakStrongStrong Weak
55. Kennedy et al. (1987) [47]StrongStrongStrongStrongWeakStrongWeakWeak Weak
56. Kurant et al. (2018) [51]WeakNo ratingNo ratingNo ratingWeakModerateWeakModerate Weak
57. Copeland et al. (2017) [28]WeakNo ratingratingNo ratingStrongModerateStrongModerate Moderate
58. Pena et al. (2014) [58]WeakNo ratingNo ratingNo ratingWeakModerateWeakWeak Weak
59. Weilburg et al. (2017) [80]WeakNo ratingNo ratingNo ratingStrongModerateStrongStrong Moderate
60. Konger et al. (2016) [50]WeakNo ratingNo ratingNo ratingWeakModerateWeakModerate Weak
61. El-Othmani et al. (2019) [33]ModerateNo ratingNo ratingNo ratingWeakModerateWeakModerate Weak
62. Kim &Lee, (2020) [48]WeakNo ratingModerateModerateStrongModerateStrongStrong Moderate
63. Wasfy et al. (2019) [79]WeakNo ratingNo ratingNo ratingStrongModerateStrongStrong Moderate
64. Calsolaro et al. (2019) [25]WeakNo ratingNo ratingNo ratingModerateModerateStrongStrong Moderate
  77 in total

1.  Admission intervention team: medical center based intensive case management of the seriously mentally ill.

Authors:  W Kent Cox; Lynda C Penny; Richard P Statham; Brad L Roper
Journal:  Care Manag J       Date:  2003

2.  Effects of utilization management on patterns of hospital care among privately insured adult patients.

Authors:  T M Wickizer; D Lessler
Journal:  Med Care       Date:  1998-11       Impact factor: 2.983

3.  The collaborative method: an effective performance improvement tool for reducing inappropriate admissions.

Authors:  Debra Holsinger; Judi McCabe; Kevin Warren
Journal:  J Healthc Qual       Date:  2008 Jul-Aug       Impact factor: 1.095

4.  Incidence of Catastrophic Health Expenditure and Its Determinants in Cancer Patients: A Systematic Review and Meta-analysis.

Authors:  Leila Doshmangir; Edris Hasanpoor; Gerard Joseph Abou Jaoude; Behzad Eshtiagh; Hassan Haghparast-Bidgoli
Journal:  Appl Health Econ Health Policy       Date:  2021-07-28       Impact factor: 2.561

5.  Predictors of inappropriate hospital stay: a clinical case study.

Authors:  Lambert J G G Panis; Marieke Gooskens; Frank W S M Verheggen; Peter Pop; Martin H Prins
Journal:  Int J Qual Health Care       Date:  2003-02       Impact factor: 2.038

6.  Effect of utilization review in a fee-for-service health insurance plan.

Authors:  S N Rosenberg; D R Allen; J S Handte; T C Jackson; L Leto; B M Rodstein; S D Stratton; G Westfall; R Yasser
Journal:  N Engl J Med       Date:  1995-11-16       Impact factor: 91.245

Review 7.  Evidence for overuse of medical services around the world.

Authors:  Shannon Brownlee; Kalipso Chalkidou; Jenny Doust; Adam G Elshaug; Paul Glasziou; Iona Heath; Somil Nagpal; Vikas Saini; Divya Srivastava; Kelsey Chalmers; Deborah Korenstein
Journal:  Lancet       Date:  2017-01-09       Impact factor: 79.321

8.  Emergency department frequent user: pilot study of intensive case management to reduce visits and computed tomography.

Authors:  Casey A Grover; Reb Jh Close; Kathy Villarreal; Lee M Goldman
Journal:  West J Emerg Med       Date:  2010-09

9.  Case management for at-risk elderly patients in the English integrated care pilots: observational study of staff and patient experience and secondary care utilisation.

Authors:  Martin Roland; Richard Lewis; Adam Steventon; Gary Abel; John Adams; Martin Bardsley; Laura Brereton; Xavier Chitnis; Annalijn Conklin; Laura Staetsky; Sarah Tunkel; Tom Ling
Journal:  Int J Integr Care       Date:  2012-07-24       Impact factor: 5.120

Review 10.  The landscape of inappropriate laboratory testing: a 15-year meta-analysis.

Authors:  Ming Zhi; Eric L Ding; Jesse Theisen-Toupal; Julia Whelan; Ramy Arnaout
Journal:  PLoS One       Date:  2013-11-15       Impact factor: 3.240

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