Evidence map›Paper›PMID 39141640›Full record

ArticlePLOS global public health2024

Community efficacy for non-communicable disease management (COEN): Conceptualization and measurement.

Shangzhi Xiong, Gangjiao Zhu, Rahul Malhotra, Xinyue Chen, Enying Gong, Zhan Wang, Jian'An Zhang, Weixia Peng, Shiwei Wang, Xurui Jin and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06975501 (A Community-Based 2×2 Factorial Randomized Controlled Trial Evaluating a Multicomponent Physical and Cognitive Intervention for Older Adults With Stroke and Comorbid Chronic Conditions in Urban China), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT06975501 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

A Community-Based 2×2 Factorial Randomized Controlled Trial Evaluating a Multicomponent Physical and Cognitive Intervention for Older Adults With Stroke and Comorbid Chronic Conditions in Urban China

TypeinterventionalSponsorDuke Kunshan UniversityRan2025 to 2027Enrolled444ConditionsHypertension, Type 2 Diabetes Mellitus (T2DM), Multimorbidity, StrokeArmsExercise Intervention, Cognitive Intervention
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Shangzhi XiongGlobal Health Research Centre, Duke Kunshan University, Kunshan, China.ORCID https://orcid.org/0000-0002-5580-8686
Gangjiao ZhuGlobal Health Research Centre, Duke Kunshan University, Kunshan, China.
Rahul MalhotraHealth Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0002-9978-4276
Xinyue ChenDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0003-4629-1678
Enying GongSchool of Population Medicine and Public Health, China Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhan WangDepartment of Agricultural Economics, College of Agriculture, Purdue University, West Lafayette, Indiana, United States of America.ORCID https://orcid.org/0000-0002-1612-4759
Jian'An ZhangTaicang Disease Prevention and Control Centre, Taicang, China.
Weixia PengSchool of Public Health, Fudan University, Shanghai, China.
Shiwei WangGlobal Health Research Centre, Duke Kunshan University, Kunshan, China.
Xurui JinMindRank AI Ltd., Hangzhou, China.
Nicholas PeoplesBaylor College of Medicine, Houston, Texas, United States of America.
Truls ØstbyeGlobal Health Research Centre, Duke Kunshan University, Kunshan, China.
Maoyi TianThe George Institute for Global Health, Faulty of Medicine and Health, University of New South Wales, Sydney, Australia.
Lijing L YanGlobal Health Research Centre, Duke Kunshan University, Kunshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of community-based non-communicable disease (NCD) management has been internationally recognized. However, currently, no instrument is available to evaluate a community's ability to provide NCD management for its residents. This study defined such an ability as "Community Efficacy for NCD Management" (COEN), and aimed to conceptualize, develop and validate a scale to measure COEN. We first conducted literature review, expert interviews, and Delphi panels to conceptualize COEN and select scale items. Then, we conducted two rounds of community surveys and interviews to validate the COEN scale among local residents in three cities in China. We used Cronbach's alpha to test the scale's internal consistency, Kappa test for test-retest reliability, and exploratory factor analysis for structural validity. COEN was conceptualized as "the ability of a community to provide NCD management for its residents, reflected by its natural environment, social relationships, community resources, health services, and resident-engaging activities." The first community research among 345 residents yielded a 38-item COEN scale with high internal consistency (Cronbach's alpha = 0.86) and acceptable test-retest reliability (Kappa value >0.2). The second community research tested a shortened COEN scale among 657 residents, yielding a final COEN scale with 14 items from five factors: community management (n = 3), social relationships (n = 4), resource accessibility (n = 3), community health services (n = 2), and resident engagement (n = 2), with an overall Cronbach's alpha of 0.79. COEN is a meaningful concept in contextualizing and evaluating NCD management anchored in the community, and the COEN scale is a multi-domain reliable tool to quantify COEN, which can be used to guide future related research and practice in public health.

Identifiers

PMID39141640
PMCPMC11324141

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Registered trials

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.