| Literature DB >> 27724952 |
Vladimir Khanassov1, Pierre Pluye2, Sarah Descoteaux3, Jeannie L Haggerty4, Grant Russell5, Jane Gunn6, Jean-Frederic Levesque7.
Abstract
Access to community-based primary health care (hereafter, 'primary care') is a priority in many countries. Health care systems have emphasized policies that help the community 'get the right service in the right place at the right time'. However, little is known about organizational interventions in primary care that are aimed to improve access for populations in situations of vulnerability (e.g., socioeconomically disadvantaged) and how successful they are. The purpose of this scoping review was to map the existing evidence on organizational interventions that improve access to primary care services for vulnerable populations. Scoping review followed an iterative process. Eligibility criteria: organizational interventions in Organisation for Economic Cooperation and Development (OECD) countries; aiming to improve access to primary care for vulnerable populations; all study designs; published from 2000 in English or French; reporting at least one outcome (avoidable hospitalization, emergency department admission, or unmet health care needs). SOURCES: Main bibliographic databases (Medline, Embase, CINAHL) and team members' personal files. STUDY SELECTION: One researcher selected relevant abstracts and full text papers. Theory-driven synthesis: The researcher classified included studies using (i) the 'Patient Centered Access to Healthcare' conceptual framework (dimensions and outcomes of access to primary care), and (ii) the classification of interventions of the Cochrane Effective Practice and Organization of Care. Using pattern analysis, interventions were mapped in accordance with the presence/absence of 'dimension-outcome' patterns. Out of 8,694 records (title/abstract), 39 studies with varying designs were included. The analysis revealed the following pattern. Results of 10 studies on interventions classified as 'Formal integration of services' suggested that these interventions were associated with three dimensions of access (approachability, availability and affordability) and reduction of hospitalizations (four/four studies), emergency department admissions (six/six studies), and unmet healthcare needs (five/six studies). These 10 studies included seven non-randomized studies, one randomized controlled trial, one quantitative descriptive study, and one mixed methods study. Our results suggest the limited breadth of research in this area, and that it will be feasible to conduct a full systematic review of studies on the effectiveness of the formal integration of services to improve access to primary care services for vulnerable populations.Entities:
Keywords: Accessibility to Health Services; Australia; Canada; Delivery of Health Care; Improve Access; Organizational Interventions; Underserved populations; Vulnerable populations
Mesh:
Year: 2016 PMID: 27724952 PMCID: PMC5057425 DOI: 10.1186/s12939-016-0459-9
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1The ‘Patient Centered Access to Healthcare’ conceptual framework. Note: Conceptual framework adapted by the IMPACT program led by the last four co-authors (www.impactresearchprogram.com) from Levesque et al. [9]
Fig. 2Flow Chart
Description of included studies
| Author/year/ country | Study design | Population (participants and setting) | Vulnerability context | Main characteristics of the intervention | Other elements |
|---|---|---|---|---|---|
| Revision of professional roles | |||||
| Gray, 2013/ New Zealand [ | Quantitative descriptive | Sample size: 400 | Children of primary school (1-8 years old), ethnic composition (Pacific and Maori). |
| Annual cost: $510 per student ($10 for consumables, $80 for diagnostic services, $420 for staffing costs). |
| Clinical multidisciplinary teams | |||||
| McDermott, 2001; 2004/ Australia [ | RCT | Sample size: 21 primary healthcare centers (921 people) | People with diabetes from remote indigenous communities | - implementation by the local indigenous health workers supported by a specialist outreach service in the 21 primary healthcare centers of the Torres Strait District: | |
| Doey, 2008/ Canada [ | NRS | Sample size: 380 (survey), 805 (charts) | Patients with mental diseases such as depression, bipolar disorder, schizophrenia, psychosis, personality disorder |
| External funding was allocated to hire nurse practitioners. |
| Crustolo, 2005/ Canada [ | Quantitative descriptive | Sample size: 4,280 referrals annually | Patients with dyslipidemia, type 2 diabetes, obesity. |
| The Provincial Ministry of Health funded the intervention program in primary care practices. |
| McCuloch, 2000/USA [ | NRS | Sample size: 15,000 (approximately) | Patients with diabetes |
| Decrease in diabetic per member per month costs of $62. |
| Michelen, 2006/USA [ | NRS | Sample size: 1,250 | Uninsured immigrants with frequent use of the ED for preventable crisis. |
| |
| Driscoll, 2013/ USA [ | Mixed methods study | Sample size: 3,213 | The Alaska Native and American Indian population, patients with asthma |
| |
| Formal integration of services | |||||
| Day, 2006/UK [ | NRS | Sample size: 289 | Children 0 to 18 years old with mental health conditions |
| |
| Garg, 2012/USA [ | Quantitative descriptive | Sample size: 1059 families | Low-income people |
| |
| Lamothe, 2006/ Canada [ | Mixed methods study | Sample size: 82 | Elderly patients with severe chronic conditions: cardiac insufficiency, chronic obstructive pulmonary diseases, hypertension, unstable diabetes |
| |
| Tourigny, 2004; Hebert, 2010/ Canada [ | NRS | Sample size: 920 | Elderly people at risk of functional decline |
| |
| Levkoff, 2004; Chen, 2006/USA [ | RCT | Sample size: 2,022 | Patients with mental health conditions such as depression, anxiety, at risk drinking |
| |
| Brown, 2005/ USA [ | NRS | Sample size: 17 | Patients with psychiatric health conditions (e.g., depression, panic disorder) and with high level of medical admission, ED visits, frequent outpatient visits, and frequent telephone calls. |
| Post-intervention total hospital cost was lower ( |
| MacKinney, 2013/USA [ | NRS | Sample size: 278 | Uninsured patients (18 years old and older) with income less than 200 % of the Federal Poverty Level |
| |
| Bradley, 2012/USA [ | NRS | Sample size: 26,000 | Uninsured patients with income less than 200 % of the Federal Poverty Level |
| Over 3 years, inpatient costs per year fell by 50 % ( |
| Kaufman, 2000/USA [ | NRS | Sample size: 23,143 | Uninsured patients below 235 % of the Federal Poverty Level not eligible for Medicaid |
| The primary care clinics received: |
| Roby, 2010/USA [ | NRS | Sample size: 2,708 | Uninsured patients (21–64 years old) with income less than 200 % of the Federal Poverty Level |
| PCPs are reimbursed on a fee-for-service rate based on 70 % of the Medicare fee schedule. Private providers received incentives to join the network and pay-for-performance payments for primary and preventive services. |
| Continuity of care via case management | |||||
| Beland, 2006/Canada [ | RCT | Sample size: 1230 | Elderly patients with chronic diseases and functional disabilities |
| - compensation of PCPs for their time communicating with the research team ($400 per patient annually); |
| Glendenning-Napoli, 2012/ USA [ | NRS | Sample size: 83 | Uninsured patients with one or more chronic diseases (diabetes mellitus, hypertension, congestive heart failure, coronary artery disease) with frequent admissions to the ED and hospital |
| - reduction in cost for acute outpatient visits ( |
| Leff, 2009; Boult, 2011/USA [ | RCT | Sample size: 835 | Older patients (65 years and older) at high risk of using health services |
| Net savings (2/3 due to reductions in hospital utilization). |
| Shah, 2011/USA [ | NRS | Sample size: 258 | Uninsured Medicaid population, frequent users of ED (4 or more ED admissions, 3 or more admissions, 2 or more admissions and one ED visit within 1 year) |
| Decrease of ED ( |
| Wang, 2012/USA [ | RCT | Sample size: 200 | Formerly incarcerated people |
| The program utilized the existing resources in the community health center. The additional costs included the salary of community health worker and time of supervision. |
| Wohl, 2011/USA [ | RCT | Sample size: 89 (43 vs 46) | Formerly incarcerated HIV patients |
| |
| Dorr, 2008/USA [ | RCT | Sample size: 3,432 (1,144 vs 2,288) | Elderly patients with chronic diseases: diabetes, depression, hypertension, congestive heart failure |
| |
| Sylvia, 2008/USA [ | NRS | Sample size: 127 (62 vs 65) | Elderly patients with chronic diseases congestive heart failure, hypertension, diabetes, dementia, depression |
| Lower insurance expenditures ( |
| Gravelle, 2007/UK [ | NRS | Sample size: 64 intervention primary care practices | Elderly patients at high risk of emergency admission |
| |
| Horwitz, 2005/USA [ | RCT | Sample size: 230 (121 vs 109) | Uninsured patients (except substance abuse and mental health issues) |
| Reduction in average cost of an emergency room visit |
| Palfrey, 2002/USA [ | NRS | Sample size: 267 | Children with special health care needs |
| |
| Farmer, 2005/USA [ | NRS | Sample size: 102 (51 vs 51) | Children with special health care needs (mental and neurological disorders, congenital anomalies) |
| |
| Druss, 2001/USA [ | RCT | Sample size: 120 (59 vs 61) | Patients with mental disorders: schizophrenia, posttraumatic stress disorder, major affective disorder, substance abuse |
| |
| Counsell, 2007/USA [ | RCT | Sample size: 951 (474 vs 477) | Low-income seniors (less than 200 % of the Federal Level of Poverty) with geriatric conditions such as difficulty walking, falls, pain, urinary incontinence, depression, vision and hearing problems, dementia |
| |
| Landi, 2001/Italy [ | NRS | Sample size: 1204 (before-after) | Frail older people |
| 27 % cost reduction with an estimated saving of $1,200 for each patient |
| Callahan, 2006/USA [ | RCT | Sample size: 153 (84 vs 69) | Patients with dementia living in the community |
| $1000 annual cost of the case manager per patient (75 patients per year) |
| Continuity of care via arrangement for follow-up | |||||
| Sin, 2004/Canada [ | NRS | Sample size: 125 | Patients with asthma |
| |
| DeHaven, 2012/ USA [ | NRS | Sample size: 574 | Uninsured low-income working individuals |
| The intervention resulted in less direct ( |
| Institution incentivesa | |||||
| Addink, 2011/UK [ | NRS | Sample size: 24 practices in three local primary care trusts | Patients from ethnic minority groups (non-white ethnicity) |
| - £36 million received for participation; |
| Tan, 2012/New Zealand [ | Mixed methods study | Sample size: the whole population | Prioritized population: high deprivation, Maori, Pacific communities, refugees, young people |
| $6 M of annual funding over five years |
| Feinglass, 2014/USA [ | NRS | Sample size: 293 | Uninsured adults with a household income below 200 % of Federal Poverty Level. |
| Decrease of amount of payment/copayment for a visit ( |
| Capitationa | |||||
| Davidoff, 2008/USA [ | NRS | Sample size: 574 | Children with common chronic health conditions such as attention deficit disorder, mental retardation, Down syndrome, asthma, cerebral palsy, sickle cell anemia, muscular dystrophy, autism, congenital or other heart diseases, diabetes. |
| |
RCT Randomized Controlled Trial, NRS Non-Randomized Study, NS Non-significant
a Financial interventions according to the EPOC classification
Vulnerability context
| Vulnerability context | Included studies, n (%) |
|---|---|
| Socioeconomically disadvantaged ( | |
| Uninsured | 11 (28 %) |
| Immigrants | 1 (2 %) |
| Formerly incarcerated | 2 (5 %) |
| Racial/ethnic minority ( | 1 (2 %) |
| First Nations (Maori, Alaska Native, American Indian, Pacific) ( | 4 (10 %) |
| Chronic diseases ( | |
| Multi-morbidity (chronic heart failure, chronic obstructive pulmonary diseases, hypertension, dyslipidemia, diabetes, obesity) | 5 (13 %) |
| Multi-morbidity non-specified (e.g., functional decline, frailty) | 5 (13 %) |
| Geriatric conditions (difficulty walking/falls, urinary incontinence, vision/hearing problems, dementia) | (5 %) |
| Mental diseases (chronic psychosis, depression, anxiety, bipolar disorder, schizophrenia, personality disorders, panic disorder) | 5 (13 %) |
| Diabetes | 2 (5 %) |
| Asthma | 1 (2 %) |
| HIV | 2 (5 %) |
| Congenital conditions (mental retardation, Down syndrome, cerebral palsy, muscular dystrophy, autism) | 3 (8 %) |
| Elderly with chronic diseases ( | 11 (28 %) |
| Children with chronic diseases ( | 5 (13 %) |
Pattern dimension-outcome
| Organizational intervention | Number of studies | Outcomesa | Pattern ‘Dimension- Outcome’ | ||
|---|---|---|---|---|---|
| ↓HR | ↓ ED admission | ↓ Unmet health care needs | |||
| Continuity of care via case management | 16b | 8/15 | 7/13 | 3/3 | No |
| Formal integration of services | 10c | 4/4 | 6/6 | 5/6 | Yesd |
| Clinical multidisciplinary teams | 6 | 1/1 | 0/4 | 2/2 | No |
| Continuity of care via arrangement for follow-up | 2 | 1/1 | 1/1 | - | No |
| Revision of professional roles | 1 | - | - | 1/1 | No |
| Institution incentives | 3 | 1/2 | 0/1 | 1/2 | No |
| Capitation | 1 | - | 1/1 | 0/1 | No |
HR hospitalisation rate, ED emergency department, RCT Randomized Controlled Trial, NRS Non-Randomized Study
aNumerator: Number of studies with a positive outcome; Denominator: Number of studies assessing the outcome
b9 RCTs and 7 NRSs
c7 NRS, 1 RCT, 1 quantitative descriptive and 1 mixed methods study
dAssociated with three dimensions of access: approachability, availability and affordability
Characteristics of included studies (local/regional intervention): Access dimension and outcome
| Study ID | Dimensions of access of primary care services | Dimensions of ability of consumers | Outcomes | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Approachability | Acceptability | Availability and Accommodation | Affordability | Appropriateness | Ability to (1) Perceive; (2) Seek; (3) Reach; (4) Pay; (5) Engage | Avoidable hospitalization | Avoidable ED admission | Unmet health care needs | |
| Revision of professional roles | |||||||||
| Gray, 2013 [ | Students with symptoms of sore throat and skin infection were regularly searched | The social worker providing health care services was the same ethnic group | Health care services delivered directly at primary school, at home (for household members), regular phone contacts. | Free health care program |
| Health care service received in a timely manner. | |||
| Clinical multidisciplinary teams | |||||||||
| Doey, 2008 [ | “One-stop shopping for clients” – co-location of primary health services with mental care. | Intervention in public health care system | Timeliness of primary health services delivery (preventive measures) | 75 % decrease of hospitalization | - 51.6 % decrease in the number of emergency visits; | ||||
| Crustolo, 2005 [ | Referral to the dietitian by the PCP if nutrition-related problems were present | Location of dietitian in primary care. | Intervention in public health care system | Intervention was offered at an early stage of the health condition (e.g., priority to prevent childhood obesity). | Patients were satisfied with: | ||||
| McCuloch, 2000 [ | Patients identified through diabetes registers | Available assessment by specialists in primary care practice | Timely assessment of patients to avoid complications (retinal screening, screening for microalbuminuria, hyperglycemia) | Decrease by 17 % | No difference | ||||
| Michelen, 2006 [ | Information about frequent users of ED (3 or more times in the past 6 months) was e-mailed to healthcare professionals who contacted them thereafter. | Healthcare professionals providing the intervention were from the same ethnical background | Patients living in three neighborhoods (Harlem, Washington Heights, Inwood) were enrolled |
| Decrease at 3 months ( | ||||
| Driscoll, 2013 [ | Payers are Indian Health Services, Medicaid/Medicare, independent insurers | Decrease ( | |||||||
| Formal integration of services | |||||||||
| Day, 2006 [ | Location of specialized mental health services in primary care practice. | Satisfied with: | |||||||
| Garg, 2012 [ | Community services were provided appropriate to the needs (e.g., employment to unemployed participants). | Reduction of unmet social needs (50 % of families enrolled in at least one community-based resources). | |||||||
| Lamothe, 2006 [ | The monitoring of health condition was from home of participants. | Timely delivery of services based on the alerts received from patients. |
| Decrease in the number of emergency visits | - no need to travel to physician’s office for blood pressure reading; | ||||
| Tourigny, 2004; Hebert, 2010 [ | 24/7 access to the Health Info Line for the assessment of needs. | “The single entry point” mechanism for accessing the services in the area for frail seniors with complex needs. | Intervention in public health care system | The continuous nature of the intervention (close collaborative work of PCP, case manager, and multidisciplinary team). | - increase of hospitalization within 10 days ( | - no difference within 10 days; | |||
| Levkoff, 2004; Chen, 2006 [ | Referral to the mental health services based on the screening by primary care providers | Co-location of primary care services with mental health services | - got the service patients wanted ( | ||||||
| Brown, 2005 [ | Referral to the mental health services by the PCP; identification in the database patients with a large number of hospitalizations. | Co-location of primary care services with mental health services | Decrease ( | Decrease ( | |||||
| MacKinney, 2013 [ | Contact of identified people without insurance by the county social worker to offer an access to primary health services | Absence of co-payment for basic medical services | Decrease (13 % vs 6 %; | Decrease (32 % vs 19 %; | |||||
| Bradley, 2012 [ | Contact of identified people without insurance to offer an access to primary health services | Primary care providers located near the residence of patients | Absence of payment for primary care services | Decrease ( | Decrease ( | ||||
| Kaufman, 2000 [ | Uninsured patients according the eligibility criteria were enrolled. | The program was eligible for the residents of New Mexico county only. | Small copayment depending on the poverty level (ranged from no premium to $10 per patient per month) |
| Decrease ( | Decrease ( | Decrease of time for the first appointment with PCP (from 45 to 28 days). | ||
| Roby, 2010 [ | Uninsured patients were enrolled at the time they sought for health services. | Decrease ( | |||||||
|
| |||||||||
| Beland, 2006 [ | Intervention delivered through the public community organizations responsible for home care | The intervention team physically was located in the public community organizations | Intervention in public health care system | 50 % reduction in the number of “bed-blockers” ( | Trend for 10 % lower utilization ( | ||||
| Glendenning-Napoli, 2012 [ | Uninsured patients with frequent hospital and emergency use were contacted by the phone to enroll in the program. |
| Decrease ( | Decrease ( | |||||
| Leff, 2009; Boult, 2011 [ | Insured older patients at high risk of health service use were contacted (screening based on the insurance claims) | In-home assessment of needs | Eligible patients were those with existing insurance. |
| Decrease ( | Decrease ( | |||
| Shah, 2011 [ | Uninsured frequent ED users were identified and enrolled |
| Decrease ( | Decrease ( | |||||
| Wang, 2012 [ | Mandatory attendance of an appointment with a community health worker within 2 weeks of the release date from the prison | Health care services were provided and coordinated by a healthcare professional with a history of incarceration. | No difference ( | Decrease ( | |||||
| Wohl, 2011 [ | Services were offered to HIV patients prior their release from the prison | Services were identified in the neighborhood | Individualized care plans were developed according to the needs |
| No difference | No difference | |||
| Sylvia, 2008 [ | Patients referred by PCPs | Individualized care plans were developed according to the needs |
| Decrease ( | Decrease ( | ||||
| Horwitz, 2005 [ | Patients identified at discharge | Intervention was offered to patients living in the proximity of primary care facilitates | No difference | No difference | |||||
| Palfrey, 2002; 2004 [ | Children already receiving care in pediatric primary care practices were approached | - In-home assessment of needs and regular home follow-up; |
| Decrease ( | No difference | Decrease of unmet health care needs: | |||
| Farmer, 2005 [ | Patients referred to the program according to the eligibility criteria | Children residing in the region primary care clinics provide health services for. | Participants were enrolled in Medicaid fee-for-service, Medicaid managed care, and commercial health insurance |
| Decrease ( | Less need for: | |||
| Druss, 2001 [ | Referral of patients to primary care by mental health providers | Primary care clinic located contiguous to the mental health clinics | Development of the individualized care plan according to the needs of patients. | Decrease (8.5 % vs 18 %; | Decrease (11.9 % vs 26.2 %; | Fewer problems with: | |||
| Counsell, 2007 [ | Patients referred by PCPs | Individualized care plans were developed according to the needs |
| No difference except for high risk patients (decrease, | Decrease ( | ||||
| Callahan, 2006 [ | Patients referred by PCPs | Individualized care plans were developed according to the needs |
| No difference (29.8 % vs 24.6 %, | |||||
| Continuity of care via arrangements for follow-up | |||||||||
| Sin, 2004 [ | Patients approached at discharge to make an appointment with their PCP | Intervention in public health care system | Continuous nature of care: from discharge to asthma control by PCP | Decrease at 3 ( | |||||
| DeHaven, 2012 [ | Patients were contacted to be enrolled in the intervention program after ED admission | To have an access to the health services, patients have to reside in the target area zip code. | Free access to health care services | Decrease ( | |||||
| Institution incentives | |||||||||
| Feinglass, 2014 [ | Uninsured residents of suburban DuPage County with a household income below 200 % of Federal Poverty Level were assigned. | Program was implemented in 45 sites across the county. | County hospitals, county government, and other foundations financially supported the program. Moreover, the Access DuPage program pays a small capitated fee to clinics and PCPs. |
| Increase by 14 %. | Increase by 9 %. | - decrease of waiting time to see a doctor/nurse ( | ||
Characteristics of included studies (state/national intervention): Access dimension and outcome
| Study ID | Dimensions of access of primary care services | Dimensions of ability of consumers | Outcomes | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Approachability | Acceptability | Availability and Accommodation | Affordability | Appropriateness | Ability to (1) Perceive; (2) Seek; (3) Reach; (4) Pay; (5) Engage | Avoidable hospitalization | Avoidable ED admission | Unmet health care needs | |
| Clinical multidisciplinary teams | |||||||||
| McDermott, 2004 [ | Implementation of diabetes registers, recall and reminder systems | Delivery of services by the local indigenous health workers | Delivery of the diabetes health services in the remote indigenous communities. | - 32 % reduction of hospitalization for diabetes-related conditions ( | |||||
| Continuity of care via case management | |||||||||
| Dorr, 2008 [ | Patients referred by PCPs | Individualized care plans were developed according to the needs |
| Decrease ( | By 2 years of follow-up: increase ( | ||||
| Gravelle, 2007 [ | Patients identified based on the age and frequency of emergency use | No additional payment | Individualized care plans were developed according to the needs |
| No effect ( | ||||
| Landi, 2001 [ | Patients referred by PCPs | Integration of all the community-based services and services provided by the health agency/municipality into one “single enter” center | Individualized care plans were developed according to the needs |
| Decrease by 18 % (p < 0.001) | ||||
| Institution incentives | |||||||||
| Addink, 2011 [ | No large improvement in | ||||||||
| Tan, 2012 [ | The whole population is eligible | Services were developed with active partnership of ethnic communities (iwi) | Depending on the income level: very low fees (free to $15 for all ages), low fees ($16–$30), medium ($31–$39), high ($40 or above). |
| 4 % decrease over five years | Enrolled patients contributed to 0.2 % increase in comparison to 1.7 % increase of not enrolled (overall steady increase of 2 % per year). | |||
| Capitation | |||||||||
| Davidoff, 2008 [ | No payment (Medicaid and State Children’s Health insurance Program) |
| Slight reduction (3.8 % points) ( | No effect on unmet medical care needs | |||||