Evidence map›Paper›PMID 32770995›Full record

ArticleBMC health services research2020

Validation of the care providers version of the Rainbow Model of Integrated Care-measurement tool in Chinese primary care systems.

Yixiang Huang, Paiyi Zhu, Lijin Chen, Xin Wang, Pim Valentijn

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

5 authors.

Yixiang HuangSchool of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou, 510080, China.
Paiyi ZhuSchool of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou, 510080, China.
Lijin ChenSchool of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou, 510080, China.
Xin WangSchool of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou, 510080, China. wangxin25@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-6588-276X
Pim ValentijnDepartment of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.

Funding

National Natural Science Foundation of China 71804202National Office for Philosophy and Social Sciences 18BGL218
6 · The paper itself

Abstract

backgroundThe original Rainbow Model of Integrated Care Measurement Tool (RMIC-MT) is based on the Rainbow Model of Integrated Care (RMIC), which provides a comprehensive theoretical framework for integrated care. To translate and adapt the original care provider version of the RMIC-MT and evaluate its psychometric properties by a pilot study in Chinese primary care systems.

methodsThe translation and adaptation process were performed in four steps, forward and back-translation, experts review and pre-testing. We conducted a cross-sectional study with 1610 community care professionals in all 79 community health stations in the Nanshan district. We analyzed the distribution of responses to each item to study the psychometric sensitivity. Exploratory factor analysis with principal axis extraction method and promax rotation was used to assess the construct validity. Cronbach's alpha was utilized to ascertain the internal consistency reliability. Lastly, confirmation factor analysis was used to evaluate the exploratory factor analysis model fit.

resultsDuring the translation and adaptation process, all 48 items were retained with some detailed modifications. No item was found to have psychometric sensitivity problems. Six factors (person- & community-centeredness, care integration, professional integration, organizational integration, cultural competence and technical competence) with 45 items were determined by exploratory factor analysis, accounting for 61.46% of the total variance. A standard Cronbach's alpha of 0.940 and significant correlation among all items in the scale (> 0.4) showed good internal consistency reliability of the tool. And, the model passed the majority of goodness-to-fit test by confirmation factor analysis.

conclusionsThe results showed initial satisfactory psychometric properties for the validation of the Chinese RMIC-MT provider version. Its application in China will promote the development of people-centered integrated primary care. However, further psychometric testing is needed in multiple primary care settings with both public and private community institutes.

Indexed as

Delivery of Health Care, IntegratedSurveys and QuestionnairesAdultChinaCross-Sectional StudiesFactor Analysis, StatisticalFemaleHealth PersonnelHumansMaleMiddle AgedPilot ProjectsPrimary Health CarePsychometricsReproducibility of ResultsTranslationsCommunity health professionalsIntegrated primary careMeasurement tool

Identifiers

PMID32770995
PMCPMC7414573

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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.