Evidence map›Paper›PMID 38890139›Full record

ArticleBMJ open2024

Integrated patient-centred care for type 2 diabetes in Singapore Primary Care Networks: a mixed-methods study.

Lay Hoon Goh, Chiew Jiat Rosalind Siah, Anna Szücs, E Shyong Tai, Jose M Valderas, Doris Young

Abstract read
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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lay Hoon GohMedicine, National University of Singapore Yong Loo Lin School of Medicine, Singapore mdcglh@nus.edu.sg.ORCID 0000-0003-1536-3050
Chiew Jiat Rosalind SiahNational University of Singapore Yong Loo Lin School of Medicine, Singapore.
Anna SzücsMedicine, National University of Singapore Yong Loo Lin School of Medicine, Singapore.
E Shyong TaiMedicine, National University of Singapore Yong Loo Lin School of Medicine, Singapore.
Jose M ValderasMedicine, National University of Singapore Yong Loo Lin School of Medicine, Singapore.
Doris YoungMedicine, National University of Singapore Yong Loo Lin School of Medicine, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients with type 2 diabetes require patient-centred care as guided by the Chronic Care Model (CCM). Many diabetes patients in Singapore are managed by the Primary Care Networks (PCNs) which organised healthcare professionals (HCPs) comprising general practitioners, nurses and care coordinators into teams to provide diabetes care. Little is known about how the PCNs deliver care to people with type 2 diabetes. This study evaluated the consistency of diabetes care delivery in the PCNs with the CCM.

designThis was a mixed-method study. The Assessment of Chronic Illness Care (ACIC version 3.5) survey was self-administered by the HCPs in the quantitative study (ACIC scores range 0-11, the latter indicating care delivery most consistent with CCM). Descriptive statistics were obtained, and linear mixed-effects regression model was used to test for association between independent variables and ACIC total scores. The qualitative study comprised semi-structured focus group discussions and used thematic analysis.

settingThe study was conducted on virtual platforms involving the PCNs.

participants179 HCPs for quantitative study and 65 HCPs for qualitative study.

resultsIntegrated analysis of quantitative and qualitative results found that there was support for diabetes care consistent with the CCM in the PCNs. The mean ACIC total score was 5.62 (SD 1.93). The mean element scores ranged from 6.69 (SD 2.18) (Health System Organisation) to 4.91 (SD 2.37) (Community Linkages). The qualitative themes described how the PCNs provided much needed diabetes services, their characteristics such as continuity of care, patient-centred care; collaborating with community partners, financial aspects of care, enablers for and challenges in performing care, and areas for enhancement.

conclusionThis mixed-methods study informs that diabetes care delivery in the Singapore PCNs is consistent with the CCM. Future research should consider using independent observers in the quantitative study and collecting objective data such as patient outcomes.

Indexed as

Diabetes Mellitus, Type 2Focus GroupsPatient-Centered CarePrimary Health CareAdultDelivery of Health Care, IntegratedFemaleHumansMaleMiddle AgedQualitative ResearchSingaporeSurveys and QuestionnairesDIABETES & ENDOCRINOLOGYPrimary CareQUALITATIVE RESEARCHSurveys and Questionnaires

Identifiers

PMID38890139
PMCPMC11191786

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.