Evidence mapPaperPMID 41838693Full record

ArticlePloS one2026

Development of a collaborative chronic care model for management of cardiometabolic disease in low- and middle-income countries.

Pamela Miloya Godia, Michelle Hadjiconstantinou, Rosa Weyula, Usagi Ememwa, Samuel Seidu, Peter Njoroge, Joyce Muhenge Olenja, George Nyadimo Agot, Jamin Avugwi, Mary Coleman and 10 more

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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No citing paper in PubMed yet.

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

20 authors.

Pamela Miloya GodiaDepartment of Public and Global Health, University of Nairobi, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-2561-1735
Michelle HadjiconstantinouDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom.
Rosa WeyulaDepartment of Public and Global Health, University of Nairobi, Nairobi, Kenya.
Usagi EmemwaDepartment of Public and Global Health, University of Nairobi, Nairobi, Kenya.ORCID https://orcid.org/0009-0003-2699-0647
Samuel SeiduDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom.
Peter NjorogeDepartment of Public and Global Health, University of Nairobi, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-8126-2536
Joyce Muhenge OlenjaDepartment of Public and Global Health, University of Nairobi, Nairobi, Kenya.
George Nyadimo AgotDepartment of Public and Global Health, University of Nairobi, Nairobi, Kenya.
Jamin AvugwiDepartment of Public and Global Health, University of Nairobi, Nairobi, Kenya.
Mary ColemanUniversity of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0002-0320-0396
Alfred YawsonUniversity of Ghana, Accra, Ghana.
Filipe DulceUniversidade Eduardo Mondlane, Maputo, Mozambique.
Joselia ChemaneUniversidade Eduardo Mondlane, Maputo, Mozambique.
Celia NovelaUniversidade Eduardo Mondlane, Maputo, Mozambique.
Ana MocumbiUniversidade Eduardo Mondlane, Maputo, Mozambique.
Deborah IkhileDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom.
Shabana CassambaiDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom.
Albertino DamascenoUniversidade Eduardo Mondlane, Maputo, Mozambique.
Roberta LampteyUniversity of Ghana, Accra, Ghana.
Kamlesh KhuntiDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiometabolic diseases (CMD) which include cardiovascular disease (CVD), diabetes, hypertension, and other metabolic syndromes represent a significant global health burden. Three quarters of global CVD deaths occur in low-and-middle-income countries (LMICs) and CMD account for approximately 35 percent of deaths in the Sub-Saharan Africa (SSA) region. The COVID-19 Pandemic significantly accelerated the transformation of the landscape in the management of patients with multiple long-term conditions, prompting innovation in healthcare delivery and highlighting the importance of more integrated and adaptable healthcare approaches. Addressing CMD requires a multifaceted approach involving both individual-level interventions, health system approaches, community-based approaches, and broader population-wide strategies for prevention.

aimThis study aimed to develop and pilot a person-centred model of health care for CMD management, integrating key principles from the Chronic Care Model (CCM) and Collaborative Care Model (CoCM) to assess feasibility and potential scalability in LMICs.

methodsThe development of the CREATE intervention took a mixed method approach utilizing both qualitative and quantitative methodologies, including a systematic review, qualitative synthesis, and needs assessment including the delivery of workshops with local stakeholders and people living with CMD in Ghana, Kenya and Mozambique.

resultsA CoCCM with the following components was developed as the CREATE intervention: 1) Self-Management support, 2) Decision support (which included health care provider training), 3) Community linkages, 4) Organisation of health care, 5) Clinical information system, and 6) Delivery system design (streamlining the referral pathway). The CREATE intervention was informed by a systematic review, needs assessment, and six stakeholder workshops across three LMICs, identifying barriers such as limited primary care infrastructure, lack of referral systems, and gaps in self-management education.

conclusionThis is the first CoCCM model for Multiple Long-term Conditions (MLTC) to be developed for SSA. The intervention is currently being tested as part of a feasibility study in Kenya, Ghana and Mozambique. The CREATE intervention has the potential for adaptability to local context, however there is need for more rigorous research to evaluate the model effectiveness in relation to improving patient outcomes.

Indexed as

Cardiovascular DiseasesChronic Care ModelCOVID-19Delivery of Health CareDeveloping CountriesHumansMozambiqueResource-Limited SettingsSARS-CoV-2

Identifiers

PMID41838693
PMCPMC12991268

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.