Evidence map›Paper›PMID 34682611›Full record

ArticleInternational journal of environmental research and public health2021

Applications of a Chronic Care Model for Self-Management of Type 2 Diabetes: A Qualitative Analysis.

Rashid M Ansari, Mark F Harris, Hassan Hosseinzadeh, Nicholas Zwar

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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

4 authors.

Rashid M AnsariFaculty of Medicine, School of Population Health, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-3989-8984
Mark F HarrisCentre for Primary Health Care and Equity, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-0705-8913
Hassan HosseinzadehFaculty of Medicine and Health, School of Health and Society, University of Wollongong, Sydney, NSW 2522, Australia.ORCID 0000-0002-8638-5372
Nicholas ZwarFaculty of Medicine and Health, School of Health and Society, University of Wollongong, Sydney, NSW 2522, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main aim of this study was to explore the suitability, practicality, and acceptability of the self-management support and delivery system design components of the Chronic Care Model (CCM) in type 2 diabetes self-management in primary care settings in rural Pakistan. Thirty patients living with type 2 diabetes and 20 healthcare professionals (10 general practitioners and 10 nurses) were recruited from Al-Rehman Hospital at Abbottabad, Pakistan. The study data were collected using semi-structured interviews and analyzed using thematic analysis. The self-management element of the CCM played an important role in managing type 2 diabetes, and self-efficacy in relation to diet and diabetes management were the most effective strategies. Surprisingly, considering the local culture around diabetes, patient care reflecting their cultural background was identified as an important factor by patients not healthcare professionals. The delivery system design element of the CCM promoted multidisciplinary teamwork. Our findings suggest that the self-management support and delivery system design components of the CCM provided an effective framework for supporting diabetes self-management education and support in rural areas.

Indexed as

Diabetes Mellitus, Type 2General PractitionersSelf-ManagementHealth BehaviorHumansPrimary Health CareQualitative Researchchronic care modelchronic diseasehealthcare system of Pakistanpatients’ quality of lifequalitative analysisself-management of type 2 diabetes

Identifiers

PMID34682611
PMCPMC8549014

What OpenQuestion holds

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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.