Evidence map›Paper›PMID 28220090›Full record

ArticleFrontiers in psychology2017

Adaptation and Validation of a Chinese Version of Patient Health Engagement Scale for Patients with Chronic Disease.

Yaying Zhang, Guendalina Graffigna, Andrea Bonanomi, Kai-Chow Choi, Serena Barello, Pan Mao, Hui Feng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Yaying ZhangXiang Ya Nursing School, Central South University Changsha, China.
Guendalina GraffignaDepartment of Psychology, Università Cattolica del Sacro Cuore Milan, Italy.
Andrea BonanomiDepartment of Statistical Sciences, Università Cattolica del Sacro Cuore Milan, Italy.
Kai-Chow ChoiThe Nethersole School of Nursing, The Chinese University of Hong Kong Hong Kong, China.
Serena BarelloDepartment of Psychology, Università Cattolica del Sacro Cuore Milan, Italy.
Pan MaoXiang Ya Nursing School, Central South University Changsha, China.
Hui FengXiang Ya Nursing School, Central South University Changsha, China.
Central South University · CNUniversità Cattolica del Sacro Cuore · ITChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Patient Health Engagement Scale (PHE-s) was designed to assess the emotional and psychological attitudes of patients' engagement along their healthcare management journey. The aim of this study was to validate a culturally adapted Chinese version of the PHE-s (CPHE-s). Three hundred and seventy-seven participants were recruited from eight community health centers in a sample of patients with chronic disease in Hunan Province, China. The original Italian PHE-s was translated into Mandarin Chinese using a standardized forward-backward translation. The Rasch model was utilized and presented uni-dimensionality and good items fitness of the PHE-s. The internal consistency was 0.89 and the weighted Kappa coefficients of the items (test-retest reliability) ranged from 0.52 to 0.79. Both principal component analysis and confirmatory factor analysis supported a single-factor structure of the PHE-s. In testing the external validity, the PHE-s showed a significant moderate correlation with patient activation but not with medicine adherence behavior, which requires further exploration. The result suggested that the PHE-s is a reliable and valid instrument to assess the level of patient engagement in his or her own health management among chronic patients in China. Further analysis of reliability and validity should be assessed among other patient cohorts in China, and future directions for testing changes after patient engagement interventions should be developed by exploring some clinical relevance.

Indexed as

patient activationpatient engagementpatient engagement measurepatient health engagement scalepsychometric properties

Identifiers

PMID28220090
PMCPMC5292425
OpenAlexW2587153318

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.