Evidence map›Paper›PMID 32272931›Full record

ArticleBMC public health2020

Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population.

Janhavi Ajit Vaingankar, Edimansyah Abdin, Robertus Martinus van Dam, Siow Ann Chong, Linda Wei Lin Tan, Rajeswari Sambasivam, Esmond Seow, Boon Yiang Chua, Hwee Lin Wee, Wei Yen Lim and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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  5. Neighborhood Makes or Breaks Active Ageing? Findings from Cross-Sectional Path Analysis.International journal of environmental research and public health · 2022
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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

11 authors.

Janhavi Ajit VaingankarResearch Division, Institute of Mental Health, 10, Buangkok View, Singapore, 539747, Singapore. janhavi_vaingankar@imh.com.sg.
Edimansyah AbdinResearch Division, Institute of Mental Health, 10, Buangkok View, Singapore, 539747, Singapore.
Robertus Martinus van DamDepartment of Medicine, Saw Swee Hock School of Public Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Siow Ann ChongResearch Division, Institute of Mental Health, 10, Buangkok View, Singapore, 539747, Singapore.
Linda Wei Lin TanDepartment of Medicine, Saw Swee Hock School of Public Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Rajeswari SambasivamResearch Division, Institute of Mental Health, 10, Buangkok View, Singapore, 539747, Singapore.
Esmond SeowResearch Division, Institute of Mental Health, 10, Buangkok View, Singapore, 539747, Singapore.
Boon Yiang ChuaResearch Division, Institute of Mental Health, 10, Buangkok View, Singapore, 539747, Singapore.
Hwee Lin WeeDepartment of Medicine, Saw Swee Hock School of Public Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Wei Yen LimDepartment of Clinical Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Mythily SubramaniamResearch Division, Institute of Mental Health, 10, Buangkok View, Singapore, 539747, Singapore.

Funding

Ministry of Health -Singapore RFNational Medical Research Council NMRC/CG12Aug04National University of Singapore NATemasek Foundation Innovates RF08-01
6 · The paper itself

Abstract

backgroundThe multidimensional Positive Mental Health Instrument (PMHI) has 47 items and six subscales. This study aimed to develop and validate a short unidimensional version of the PMHI among Singapore's adult resident population.

methodsUsing pooled data from three earlier studies (n = 1050), PMHI items were reduced by Partial Credit Rasch Model (PCRM) runs in a random split-half sample, while psychometric properties of the resulting measure were tested through confirmatory factor analysis (CFA), item response theory-graded response model and internal consistency reliability in the other half. Its reliability, construct and concurrent validity, agreement with the original scale, floor and ceiling effect, and scale estimates were further investigated in an external representative general population sample (n = 1925).

resultsThe average age of the participants was around 41 years. Four PCRM re-runs for item selection resulted in a 6-item unidimensional Rapid PMHI (R-PMHI). CFA confirmed the unidimensional structure of the R-PMHI in the internal (RMSEA = 0.075, CFI = 0.985, TLI = 0.974) and external (RMSEA = 0.051, CFI = 0.992, TLI = 0.987) validation samples. In the external validation sample, the R-PMHI met concurrent validity criteria, showing high agreement with the 47-item version with intra-class correlation coefficient of 0.872 (95% CI: 0.861 to 0.882) and low floor and ceiling effects. Weight-adjusted mean (SE, 95% CI) R-PMHI score in the population was 4.86 (0.2, 4.82-4.90).

conclusionThe unidimensional 6-item R-PMHI offers brevity over the original multidimensional measure while appropriately representing the positive mental health construct. Prospective studies are needed to assess its responsiveness and test-retest reliability.

Indexed as

Mental HealthPsychiatric Status Rating ScalesSurveys and QuestionnairesAdultAgedCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMaleMental DisordersMiddle AgedPsychometricsReproducibility of ResultsSingaporeYoung AdultMulti-ethnicPartial Credit Rasch modelScale agreementSplit-half sample

Identifiers

PMID32272931
PMCPMC7146878

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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 OpenQuestion graph.