Literature DB >> 25567064

A matched-group study protocol to evaluate the implementation of an Integrated Care Pathway programme for chronic obstructive pulmonary disease in Singapore.

Christine Xia Wu1, Woan Shin Tan2, Ryan Chor Kian See3, Weichang Yu1, Lynette Siang Lim Kwek3, Matthias Paul Han Sim Toh4, Thong Gan Chee3, Gerald Seng Wee Chua5.   

Abstract

INTRODUCTION: The treatment of chronic obstructive pulmonary disease (COPD) involves different care providers across care sites. This fragmentation of care increases the morbidity and mortality burden, as well as acute health services use. The COPD-Integrated Care Pathway (ICP) was designed and implemented to integrate the care across different sites from primary care to acute hospital and home. It aims to reduce the prevalence of COPD among the population in the catchment, reduce risk of hospital admissions, delay or prevent the progression of the disease and reduce mortality rate by adopting a coordinated and multidisciplinary approach to the management of the patients' medical conditions. This study on the COPD-ICP programme is undertaken to determine the impact on processes of care, clinical outcomes and acute care utilisation. METHODS AND ANALYSIS: This will be a retrospective, pre-post, matched-groups study to evaluate the effectiveness of the COPD-ICP programme in improving clinical outcomes and reducing healthcare costs. Programme enrolees (intervention group) and non-enrolees (comparator group) will be matched using propensity scores. Administratively, we set 30% as our target for proportion admission difference between programme and non-programme patients. A sample size of 62 patients in each group will be needed for statistical comparisons to be made at 90% power. Adherence with recommended care elements will be measured at baseline and quarterly during 1-year follow-up. Risk of COPD-related hospitalisations as primary outcome, healthcare costs, disease progression and 1-year mortality during 1-year follow-up will be compared between the groups using generalised linear regression models. ETHICS AND DISSEMINATION: This protocol describes the implementation and proposed evaluation of the COPD-ICP programme. The described study has received ethical approval from the NHG Domain Specific Review Board (DSRB Ref: 2013/01200). Results of the study will be reported through peer-review publications and presentations at healthcare conferences. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  HEALTH ECONOMICS; RESPIRATORY MEDICINE (see Thoracic Medicine)

Mesh:

Year:  2015        PMID: 25567064      PMCID: PMC4289726          DOI: 10.1136/bmjopen-2014-005655

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This study will use a retrospective pre-post matched-groups design to evaluate the effectiveness of the programme in terms of adherence with processes of care, clinical outcomes, healthcare costs and quality of life. This study will use propensity score matching to reduce selection bias due to the lack of randomisation. It is envisioned that through this study, the chronic obstructive pulmonary disease-Integrated Care Pathway team will be able to identify potential gaps in the programme implementation and design, and implement necessary changes to improve care. This is in line with the organisation's aim to deliver patient-centred care.

Background

Chronic obstructive pulmonary disease (COPD) is a major cause of chronic disease morbidity and mortality worldwide. The disease is a global health problem with a worldwide prevalence of 10.1%.1 In Singapore, COPD is the seventh principal cause of death and the seventh most common condition for hospitalisation.2 COPD patients with complications spent 7.7 days or 79% longer in hospital than patients with COPD without complications.3 The COPD 30-day readmission in JurongHealth is around 30%, which is higher than the all-cause national 30-day readmission rate of 11.6% and other condition-specific readmission rates.4 The GOLD international standards for COPD advise spirometry for the gold standard for accurate and repeatable measurement of lung function.5 However, in Singapore, most solo general practice clinics do not offer the spirometer services necessary for early diagnosis of COPD and for the staging of COPD severity to enable appropriate disease management. Patients with COPD in the community experience poor quality of life due to lack of convenient access to pulmonary rehabilitation.6 Therefore, most patients are diagnosed in the acute care setting and those who experienced repeated exacerbations also obtain care in the specialist outpatient settings. In response to the need for a cost-effective care model, JurongHealth launched a COPD-Integrated Care Pathway (COPD-ICP) programme in April 2012. This was funded by the Singapore Ministry of Health (MOH). The programme seeks to coordinate care across different healthcare settings. It aims to provide comprehensive care for patients with COPD at different stages of the disease, involving primary, hospital-based, community-based and palliative care. Similar to other COPD integrated care programmes,7 the programme envisages coordination of care across different sites from primary to home and hospital care. The objectives of the programme are to: Reduce the prevalence of COPD among the population residing in the Western part of Singapore (catchment area of JurongHealth). Reduce risk of hospital admissions and healthcare costs. Delay or prevent the deterioration of disease condition of patients with COPD. Reduce mortality of patients with COPD. The programme adopts a coordinated and multidisciplinary approach to the management of patients’ medical conditions. Case managers work with JurongHealth's multidisciplinary team of doctors, nurses, respiratory technologists, pharmacists, physiotherapists and medical social workers to develop a customised care plan for each patient, empower patients towards self-management through education and help coordinate referrals and patients’ appointments across care sites. The current scope of our study will focus on the evaluation of the hospital-based segment of the ICP programme. We will use a propensity-score matching method to select a suitable comparator group. Specifically, the aim of our study will be to assess whether the intervention group compared with comparator group has (1) primary outcome: lower risk of COPD-related hospitalisation and (2) secondary outcomes: better adherence to the recommended processes of care, lower overall healthcare and COPD-related inpatient costs, slower disease progression and lower 1-year mortality rate. We will use the Patient Assessment of Chronic Illness Care (PACIC) score to measure patients’ experience of chronic care delivery in congruence with the Chronic Care Model (CCM).8 In addition, we will also use the COPD Assessment Test (CAT) score to measure COPD control and hence the quality of life of patients with COPD.

Methods/design

The regional healthcare system

In Singapore, public healthcare is provided by six regional healthcare systems (RHSs): Alexandra Health, Eastern Health Alliance, National Healthcare Group (NHG), National University Health System (NUHS), JurongHealth and Singapore Health Services (SHS). Together, these RHSs provide 80% of all acute care service. The government primary care clinics under NHG and SHS provide approximately 20% of primary care services consumed.

Target patients

Figure 1 shows the inclusion and exclusion criteria for patients’ enrolment into the COPD-ICP programme. We will exclude patients who have medical conditions other than COPD that are likely to result in death within the next 2 years.
Figure 1

Identification of the study cohort. COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity.

Identification of the study cohort. COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity. We classify each patient enrolled into the programme based on the Patient Group Classification from updated GOLD guidelines (figure 2).9 10
Figure 2

Patient classification based on symptoms and risk of exacerbations from GOLD guidelines.9 10 Symptoms of chronic obstructive pulmonary disease (COPD) are assessed using mMRC or COPD Assessment Tool (CAT) score. Patient's risk of exacerbations is assessed based on the patient's stage of airflow limitation and/or number of exacerbations that the patient has had over previous 12 months.

Patient classification based on symptoms and risk of exacerbations from GOLD guidelines.9 10 Symptoms of chronic obstructive pulmonary disease (COPD) are assessed using mMRC or COPD Assessment Tool (CAT) score. Patient's risk of exacerbations is assessed based on the patient's stage of airflow limitation and/or number of exacerbations that the patient has had over previous 12 months.

Intervention

Table 1 shows the recommended key care elements for each group of patients. Various healthcare team members are responsible for administering the respective key care elements (table 2).
Table 1

Key care elements for group A, B, C and D patients

Group AGroup BGroup CGroup D
Key care elementsAt riskLow risk, less symptomsLow risk, more symptomsHigh risk, less symptomsHigh risk, more symptomsIn exacerbation
1. Smoking prevention
2. Smoking cessation
3. Differential diagnosis
4. Spirometric diagnosis18–24 monthly or when clinician suspects patient grouping has changed
5. Patient education
6. Drug optimisation
7. Influenza vaccination (yearly)Only for elderly (≥65 years old) and those who have concomitant
8. BMI assessment (yearly)
9. CAT6–12 monthly6–12 monthly6–12 monthly3–4 monthly
10. Acute ventilation (Invasive/Non-invasive)
11. Supported restructured hospital/emergency department discharge
12. Home oxygen
13. Advance care planning

BMI, body mass index; CAT, COPD assessment Tool; COPD, chronic obstructive pulmonary disease.

Table 2

Care elements administered by the various healthcare team members

Key care elementsDoctorCase managerICP coordinatorSpirometry technologistPharmacistPhysiotherapistMedical social worker
1. Smoking prevention
2. Smoking cessation
3. Differential diagnosis
4. Spirometric diagnosis
5. Patient education
6. Drug optimisation
7. Influenza vaccination
8. BMI assessment
9. CAT
10. Acute non-invasive ventilation
11. Supported RH/ED discharge
12. Home oxygen
13. Advance care planning

BMI, body mass index; CAT, COPD assessment tool; COPD, chronic obstructive pulmonary disease; ED, emergency department; RH, restructured hospital.

Key care elements for group A, B, C and D patients BMI, body mass index; CAT, COPD assessment Tool; COPD, chronic obstructive pulmonary disease. Care elements administered by the various healthcare team members BMI, body mass index; CAT, COPD assessment tool; COPD, chronic obstructive pulmonary disease; ED, emergency department; RH, restructured hospital. With the implementation of the programme, care plans are designed to cater to each patient's disease severity. Patients are followed up by case managers regularly to ensure that the care elements as aforementioned are strictly adhered to. Case managers will also call the patient 48 h post discharge to reinforce patient education and drugs optimisation, where they play a pivotal role in linking patients to community resources. Hence, with the coordination by case managers, the programme will make care delivery a more seamless and integrated process as compared to when such an initiative is absent.

Evaluation design

A retrospective pre-post, matched-groups design will be implemented for this study. Such a design will be utilised instead of the randomised controlled trial design, as the COPD-ICP programme has been implemented in JurongHealth for almost 2 years. Care resources may also be unnecessarily stretched if two care programmes (usual care and COPD-ICP) are run concurrently. The study cohort will include individuals diagnosed with COPD who had at least one specialist outpatient visit record in the COPD Registry from April 2012 to December 2013. For our study, we will use the same inclusion and exclusion selection criteria as those for the COPD-ICP programme enrolment (figure 1). Patients with COPD will be identified based on the International Classification of Diseases Tenth Revision (ICD-10-AM) diagnostic codes (J40.xx and J47.xx). Patients in the intervention group will be sampled from programme patients in the COPD Registry who received care from JurongHealth from April 2012 to December 2013. A comparator group will be formed from non-enrolees using the matching method described in later sections. Patients for the comparator group will be sampled from non-programme patients in the COPD Registry who received care from non-JurongHealth institutions from April 2012 to December 2013. All data will be collected over 1-year pre-enrolment and 1-year follow-up postenrolment (3-month interval) for enrolees, and over a 1-year period for non-enrolees. The outcomes will be compared between enrolees and non-enrolees (figure 1).

Sample size

Administratively, we set 30% as our target for proportion admission difference between programme and non-programme patients. Thus, a sample size of 56 patients in each group will be needed for statistical comparisons to be made at 90% power. Hence, 62 enrolees (to account for 10% missing data) will be sampled from among those who were enrolled into the programme during the study period and their matching group will be drawn from the comparator group COPD management registry.

Data sources and data

The three main sources of data are (1) COPD Registry: patient demographics; clinical information and outcome variables for enrolees as well as non-enrolees; (2) Patient Case Management (PCM) system database: case managers capture entered data on all recommended key care elements (table 1) common among the four patient groups; and (3) Health System administrative databases: healthcare utilisation cost. Data for 1-year mortality rate will be captured from National Registry of Diseases Office (NDRO). Covariates include patient demographics and socioeconomic indicators (age, race, gender, nationality, Medisave/Medifund and Medical social worker referral); programme enrolment date; smoking history; medication; comorbidities; severity of COPD (GOLD classification) and CAT score. The parameters and outcomes of interest for which data shall be collected have been summarised in table 3.
Table 3

Overall of assessments used in COPD-ICP implementation study

DomainType of assessment/outcomesPre-ICP implementationPost-ICP implementationConcurrent comparator group in COPD disease management registry
Baseline demographicsAge, race, gender, nationality, postal code
DiseaseDisease type, disease duration
Social-economicsMedisave, Medifund, Medical social worker referral
Programme managementProgramme enrolment date✓(baseline)xx
Quality of lifeCAT score✓(baseline)x
Smoking historySmoking status, number of years of smoking
Key care elementsRefer to table 1✓(baseline)
Disease severity (based on medication use)Refer to the 2011 GOLD guidelines summary9
Comorbidities and complicationAsthma
Depression
Congestive heart failure
Diabetes
Hypertension
CKD stage 3–5
Stroke
Dyslipidaemia
Obesity
Others
COPD-related health service utilisationHospitalisation, average length of stay
Number of encountersEmergency department attendance
Specialist outpatient visit
Primary care visit
COPD-related cost (DRG)Direct cost
Indirect cost
MortalityRate of mortality
Qualitative measuresPatient assessment of chronic illness carex

CAT, COPD assessment test; CKD, chronic kidney disease; COPD-ICP, chronic obstructive pulmonary disease-integrated care pathway; DRG, diagnosis-related group.

Overall of assessments used in COPD-ICP implementation study CAT, COPD assessment test; CKD, chronic kidney disease; COPD-ICP, chronic obstructive pulmonary disease-integrated care pathway; DRG, diagnosis-related group.

Study outcomes

Hospital admissions and healthcare costs

The primary outcome of this study is hospital admission. Hospital admission refers to inpatient episodes at acute care hospitals managed by three regional health clusters (JurongHealth, NHG and NUHS). Total annual healthcare costs refer to the cost of resources utilised at the primary care clinics, emergency departments, specialist outpatient clinics and inpatient wards of these regional health clusters. To define specific COPD-related hospitalisations and inpatient costs, we have adopted the COPD-related hospitalisation ICD-10-codes used in Jiang et al.11

Disease progression and 1-year mortality rate

Different medications are used during different disease progression stages.9 Owing to the absence of GOLD guidelines in measuring disease progression, we will utilise medication usage to determine the disease progression of patients with COPD. This will be compared between the intervention group and the comparator group. One-year mortality rate is defined as the proportion of patients who died (all causes) during 1-year follow-up for intervention and comparator groups.

Adherence with recommended processes of care and PACIC score

We will use an all-or-none care bundle to monitor adherence with the recommended key care elements for group A, B, C and D patients (table 1) at baseline and 3-month interval. All-or-none care bundle is a process indicator which measures the percentage of patients who adhere with all of the recommended key care elements according to each patient group.12 In addition, we will use the PACIC score to measure patients’ experience of chronic care delivery. The PACIC score is a 20-question survey used to measure patients’ perception on the congruency of the service with the CCM.8 CCM is a guideline that recognises six aspects as key to improving quality of chronic disease management.8 13 The score obtained from the PACIC assessment tool will allow us to assess if the COPD-ICP programme is aligned with CCM.

Quality of life

As there is no locally validated tool to measure quality of life in patients with COPD and the COPD-specific version of St George's Respiratory Questionnaire is too long to administer, we will use the CAT score, which is an eight-question health survey, to measure COPD control in individuals.14 Scores range from 0 to 40 and lower scores indicate better control. Owing to its strong correlation with the COPD-specific version of the St George's Respiratory Questionnaire, it has been used as an alternative tool for assessing quality of life of patients with COPD.14 15–18 Enrolees’ CAT score will be measured at baseline and during their follow-up visits within the first year of enrolment. A CAT score difference of 2 or more (or ≥10%) suggests clinically significant changes in the quality of life.19 The CAT score difference is taken as the difference between the baseline and the best reading within 1 year. This outcome is only available for programme enrolees as CAT score is not routinely collected for non-enrolees.

Statistical analysis

Key recommended processes of care (table 1) will be monitored quarterly to track the adherence and progress of the COPD-ICP programme. Patient baseline characteristics from enrolees and non-enrolees will be described with mean and SD for continuous variables and number and percentage for categorical variables. Differences between COPD-ICP enrolees and non-enrolees will be compared using χ2 statistics for categorical variables and Wilcoxon rank-sum tests for continuous variables. Since patients are enrolled into the programme based on the institution that they were seen in, there is likely to be imbalance in baseline characteristics between enrolees and non-enrolees. Hence, we will use propensity score matching to balance the baseline characteristics across enrolees and non-enrolees.20 We will start off by estimating the propensity score, which is the conditional probability of each patient enrolling into the programme given their baseline characteristics, by using multivariate logistic regression.20 Covariates to be included in the regression are: age, gender, race, hospital, subsidy term, the number of hospitalisation or emergency attendances in the past year, number and severity of comorbid conditions, and COPD severity based on medication use. We will then form pairs of enrolee and non-enrolee by using the caliper matching method, within a range of 0.2 of the SD of propensity score.21

Hospital admissions, healthcare costs and mortality

We will compare healthcare costs using a generalised linear model with log link function and γ distribution. For odds of hospital admission and 1-year mortality, we will compare using logistic regression.22

CAT score comparison

To evaluate the quality of life improvement of the patients with COPD using the CAT score as the outcome, the change in CAT score over the 1-year post enrolment time frame will be examined. A paired-sample t test will be used to compare baseline CAT score and the best achieved CAT score over the 1-year time frame.

PACIC score

To evaluate patients’ perception on the programme's congruency with CCM, the average PACIC score for programme enrolees will be computed and benchmarked with PACIC results of other integrated care programmes in the present literature that have showed substantial congruency to the CCM. At present, recommended cut-offs for CCM concordance is set at ≥3.5 in a study with veterans and at ≥4 in another study with older adults at risk of high healthcare costs.23 24

Software

All analyses will be conducted using Stata V.12.

Discussion

In designing the COPD-ICP programme, three key principles have been adopted: right-siting, integration and patient-centredness. It also involves the five standards of care: COPD prevention, early diagnosis, management of stable patients with COPD, treatment and support during acute exacerbations, and care and support at end of life. The model of care concept plan is drafted with reference to various evidence-based guidelines such as the GOLD standard, American College of Physicians guideline on diagnosis and management of stable chronic COPD, and MOH COPD Clinical Practice Guidelines (2006).25 26 This programme serves to close current service gaps to provide comprehensive integrated care along the care continuum in the following ways. Training for primary care physicians in the management of COPD has the potential to enhance care standards at their care setting. A multidisciplinary care team comprising of the clinician, case manager, coordinator and other relevant allied health members has been shown to improve clinical outcomes and life expectancy of patients with COPD.27 Patients admitted for exacerbations are contacted within 48 h from discharge to reinforce patient education and to increase their confidence in self-managing their own condition. Lastly, the case manager plays the role of the liaison between step-down care partners, primary care physicians and patients. This may lower the risk of readmission and reduce the frequency of exacerbation. From an international perspective, similar integrated care models around the world have also shown similar positive results.28 29 These evidences further support JurongHealth in launching and maintaining the COPD-ICP programme. The rationale behind this programme evaluation stems from the motivation to bolster support for the programme and to identify care gaps for improvement. As such, adherence with processes of care and outcomes such as risk of hospitalisation, CAT score and PACIC score will be used by the team to identify any care gaps, so as to improve the COPD-ICP programme. In addition, healthcare costs, disease progression and 1-year mortality rate will also be used to assess the practicality of sustaining the programme. Furthermore, this study can also potentially add to the mounting evidence in support of integrated care in the healthcare literature. This study protocol has several strengths. The PACIC survey will be used to assess patients’ experience of the congruency of care to CCM. This is in line with the organisation’s aim to deliver patient-centred care. The choice of the matched-group patients using propensity scores will replicate the balance in baseline characteristics between compared cohorts achieved through randomisation. This will in turn reduce the effect of selection bias due to the lack of randomisation.21 This step will be vital for making valid conclusions from the economic effectiveness analysis. This study protocol is limited in several areas. First, even though we will use propensity score matching to reduce the selection bias due to non-randomisation, there might be unmeasured confounders that can affect our results. Second, the data collection process will only account for enrolees and non-enrolees who choose to have their follow-up medical appointments at JurongHealth, NHG or NUHS. Owing to the non-captive nature of the healthcare system in Singapore, patients in Singapore are free to choose healthcare providers outside these clusters on an episodic basis. Hence, such exclusion might lead to underestimation. However, these limitations affect the evaluation of the programme only, but not the quality of care provided at any institution. In conclusion, the COPD-ICP programme aims to equip primary care partners with the adequate knowledge and skills for managing stable patients with COPD and to right-site patients in order to provide excellent and appropriate care while optimising available healthcare resources. With the support from case managers, the programme does so by discharging patients to primary care doctors so that the clinically stable patients can be managed without the need to see a specialist if not clinically necessary. We believe that this evaluation study can provide an evidence-based assessment of the impact and effectiveness of the COPD-ICP programme. The lessons learnt from this study will be fed back to the COPD-ICP programme team and be useful in informing the design evaluations of other ICP programmes nationally.

Ethics and dissemination

This protocol describes the implementation and proposed evaluation of the COPD-ICP programme. The described study has received ethical approval from the NHG Domain Specific Review Board (DSRB Ref: 2013/01200). Results of the study will be reported through peer-review publication and healthcare conference presentations.
  19 in total

1.  Improving primary care for patients with chronic illness.

Authors:  Thomas Bodenheimer; Edward H Wagner; Kevin Grumbach
Journal:  JAMA       Date:  2002-10-09       Impact factor: 56.272

2.  Racial/ethnic disparities in potentially preventable readmissions: the case of diabetes.

Authors:  H Joanna Jiang; Roxanne Andrews; Daniel Stryer; Bernard Friedman
Journal:  Am J Public Health       Date:  2005-09       Impact factor: 9.308

3.  All-or-none measurement raises the bar on performance.

Authors:  Thomas Nolan; Donald M Berwick
Journal:  JAMA       Date:  2006-03-08       Impact factor: 56.272

4.  International variation in the prevalence of COPD (the BOLD Study): a population-based prevalence study.

Authors:  A Sonia Buist; Mary Ann McBurnie; William M Vollmer; Suzanne Gillespie; Peter Burney; David M Mannino; Ana M B Menezes; Sean D Sullivan; Todd A Lee; Kevin B Weiss; Robert L Jensen; Guy B Marks; Amund Gulsvik; Ewa Nizankowska-Mogilnicka
Journal:  Lancet       Date:  2007-09-01       Impact factor: 79.321

Review 5.  Screening for and early detection of chronic obstructive pulmonary disease.

Authors:  Joan B Soriano; Jan Zielinski; David Price
Journal:  Lancet       Date:  2009-08-29       Impact factor: 79.321

6.  Racial/ethnic and educational-level differences in diabetes care experiences in primary care.

Authors:  George L Jackson; Morris Weinberger; Natia S Hamilton; David Edelman
Journal:  Prim Care Diabetes       Date:  2008-01-22       Impact factor: 2.459

7.  Minimum clinically important difference for the COPD Assessment Test: a prospective analysis.

Authors:  Samantha S C Kon; Jane L Canavan; Sarah E Jones; Claire M Nolan; Amy L Clark; Mandy J Dickson; Brigitte M Haselden; Michael I Polkey; William D-C Man
Journal:  Lancet Respir Med       Date:  2014-02-04       Impact factor: 30.700

8.  Quality of life measured by the St George's Respiratory Questionnaire and spirometry.

Authors:  M Weatherall; S Marsh; P Shirtcliffe; M Williams; J Travers; R Beasley
Journal:  Eur Respir J       Date:  2009-01-22       Impact factor: 16.671

9.  The effects of guided care on the perceived quality of health care for multi-morbid older persons: 18-month outcomes from a cluster-randomized controlled trial.

Authors:  Cynthia M Boyd; Lisa Reider; Katherine Frey; Daniel Scharfstein; Bruce Leff; Jennifer Wolff; Carol Groves; Lya Karm; Stephen Wegener; Jill Marsteller; Chad Boult
Journal:  J Gen Intern Med       Date:  2009-12-22       Impact factor: 5.128

10.  Development and first validation of the COPD Assessment Test.

Authors:  P W Jones; G Harding; P Berry; I Wiklund; W-H Chen; N Kline Leidy
Journal:  Eur Respir J       Date:  2009-09       Impact factor: 16.671

View more
  4 in total

Review 1.  Clinical pathway for video-assisted thoracic surgery: the Hong Kong story.

Authors:  Alan D L Sihoe
Journal:  J Thorac Dis       Date:  2016-02       Impact factor: 2.895

2.  Process evaluation of an integrated care pathway in geriatric rehabilitation for people with complex health problems.

Authors:  Irma H J Everink; Jolanda C M van Haastregt; Jose M C Maessen; Jos M G A Schols; Gertrudis I J M Kempen
Journal:  BMC Health Serv Res       Date:  2017-01-13       Impact factor: 2.655

3.  Effectiveness of a chronic obstructive pulmonary disease integrated care pathway in a regional health system: a propensity score matched cohort study.

Authors:  Christine Xia Wu; Chi Hong Hwang; Woan Shin Tan; Kai Pik Tai; Lynette Siang Lim Kwek; Thong Gan Chee; Yee Mun Choo; Francis Wei Loong Phng; Gerald Seng Wee Chua
Journal:  BMJ Open       Date:  2018-03-22       Impact factor: 2.692

4.  Elements and Performance Indicators of Integrated Healthcare Programmes on Chronic Diseases in Six Countries in the Asia-Pacific Region: A Scoping Review.

Authors:  Kamilla Anna Pinter; Hanwen Zhang; Chang Liu; Bach Tran; Maulik Chokshi; Don Eliseo Lucerno-Prisno; Vikash Sharma; Shenglan Tang
Journal:  Int J Integr Care       Date:  2021-02-08       Impact factor: 5.120

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.