Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population
Background: The 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. Methods: Using pooled data from three earlier studies (n = 1050),...
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Science::Medicine Partial Credit Rasch Model Split-half Sample |
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Science::Medicine Partial Credit Rasch Model Split-half Sample Vaingankar, Janhavi Ajit Abdin, Edimansyah van Dam, Robertus Martinus Chong, Siow Ann Tan, Linda Wei Lin Sambasivam, Rajeswari Seow, Esmond Chua, Boon Yiang Wee, Hwee Lin Lim, Wei Yen Subramaniam, Mythily Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population |
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Background: The 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. Methods: Using 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). Results: The 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). Conclusion: The 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. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Vaingankar, Janhavi Ajit Abdin, Edimansyah van Dam, Robertus Martinus Chong, Siow Ann Tan, Linda Wei Lin Sambasivam, Rajeswari Seow, Esmond Chua, Boon Yiang Wee, Hwee Lin Lim, Wei Yen Subramaniam, Mythily |
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Article |
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Vaingankar, Janhavi Ajit Abdin, Edimansyah van Dam, Robertus Martinus Chong, Siow Ann Tan, Linda Wei Lin Sambasivam, Rajeswari Seow, Esmond Chua, Boon Yiang Wee, Hwee Lin Lim, Wei Yen Subramaniam, Mythily |
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Vaingankar, Janhavi Ajit |
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Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population |
title_short |
Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population |
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Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population |
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Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population |
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Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population |
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development and validation of the rapid positive mental health instrument (r-pmhi) for measuring mental health outcomes in the population |
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2021 |
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https://hdl.handle.net/10356/146304 |
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sg-ntu-dr.10356-1463042023-03-05T16:42:46Z Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population Vaingankar, Janhavi Ajit Abdin, Edimansyah van Dam, Robertus Martinus Chong, Siow Ann Tan, Linda Wei Lin Sambasivam, Rajeswari Seow, Esmond Chua, Boon Yiang Wee, Hwee Lin Lim, Wei Yen Subramaniam, Mythily Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine Partial Credit Rasch Model Split-half Sample Background: The 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. Methods: Using 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). Results: The 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). Conclusion: The 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. Ministry of Health (MOH) National Medical Research Council (NMRC) Published version Study 1 was supported by funding from the Ministry of Health, Singapore and the Singapore Millennium Foundation of the Temasek Trust (Grant number RF08–01). Studies 2 and 3 were funded by the Singapore Ministry of Health’s National Medical Research Council under the Centre Grant Programme (Grant number NMRC/CG12Aug04). Study 4 was supported by grants from the Ministry of Health, Singapore, National University of Singapore and National University Health System, Singapore (Grant number NA). The study funders played no role in this study design or data analysis. 2021-02-08T08:09:18Z 2021-02-08T08:09:18Z 2020 Journal Article Vaingankar, J. A., Abdin, E., van Dam, R. M., Chong, S. A., Tan, L. W. L., Sambasivam, R., . . . Subramaniam, M. (2020). Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population. BMC Public Health, 20(1), 471-. doi:10.1186/s12889-020-08569-w 1471-2458 https://hdl.handle.net/10356/146304 10.1186/s12889-020-08569-w 32272931 2-s2.0-85083096932 1 20 en RF08–01 NMRC/CG12Aug04 BMC Public Health © 2020 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. application/pdf |