Hooman Saghebi, N. Mirzakhani, F. Sharifi, Camelia Rambod, David Smith, Malcolm W Battersby, Setareh Ghahari
{"title":"伊朗成年慢性病患者健康伴侣量表的翻译及心理测量学评价","authors":"Hooman Saghebi, N. Mirzakhani, F. Sharifi, Camelia Rambod, David Smith, Malcolm W Battersby, Setareh Ghahari","doi":"10.32598/irj.20.4.1485.1","DOIUrl":null,"url":null,"abstract":"Objectives: Characterizing the psychometric attributes of the Persian variant of partners in health (PIH) in multiple sclerosis (MS), Diabetes, and Low Back Pain (LBP) patients. Methods: In this cross-sectional study, 183 MS, diabetes, and LBP patients (70 male, 113 female) were treated with PIH post-forward-backward translation. Confirmatory factor analysis was used for studying the factor structure. Cronbach’s α and McDonald’s Ω coefficients were used to analyze PIH internal consistency. We used an interclass correlation coefficient to evaluate test-retest reliability. Criterion validity was determined by studying the correlation of PIH and Short Form (36) Health Survey (SF-36), Diabetes Self-Management Scale (DSMS), and Self-Efficacy in Chronic Disease Self-Management (SES6G). Results: The median age of the participants was 49.73±15.16 years, 113 (61.75%) of them were female, 64 (35.0%) had MS, 66 (36.1%) had diabetes, and 53 (29.0%) had LBP. Content validity was determined across all areas (clarity, relevancy, simplicity) by a content validity index ≥0.82. Additionally, all items were confirmed via a content validity ratio ≥0.78. The outcome of CFA depicts that the statistics presented as model fit were as follows: CFI= 0.938, NFI= 0.899, and RMSEA= 0.085. All PIH items exhibited valid internal consistency (0.886-0.893). The PIH showed sufficient test-retest reliability regarding its corresponding subscales (0.554-0.679). The construct validity was confirmed by the total scores of PIH correlated with the total score of SF-36, SES6G, and DSMS. Discussion: The Persian variant of the PIH showed sufficient validity and reliability as a measure to assess self-management in patients suffering from chronic disease (MS, diabetes, and LBP).","PeriodicalId":37644,"journal":{"name":"Iranian Rehabilitation Journal","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Translation and Psychometric Evaluation of the Partners in Health Scale Among Iranian Adults With Chronic Diseases\",\"authors\":\"Hooman Saghebi, N. Mirzakhani, F. Sharifi, Camelia Rambod, David Smith, Malcolm W Battersby, Setareh Ghahari\",\"doi\":\"10.32598/irj.20.4.1485.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives: Characterizing the psychometric attributes of the Persian variant of partners in health (PIH) in multiple sclerosis (MS), Diabetes, and Low Back Pain (LBP) patients. Methods: In this cross-sectional study, 183 MS, diabetes, and LBP patients (70 male, 113 female) were treated with PIH post-forward-backward translation. Confirmatory factor analysis was used for studying the factor structure. Cronbach’s α and McDonald’s Ω coefficients were used to analyze PIH internal consistency. We used an interclass correlation coefficient to evaluate test-retest reliability. Criterion validity was determined by studying the correlation of PIH and Short Form (36) Health Survey (SF-36), Diabetes Self-Management Scale (DSMS), and Self-Efficacy in Chronic Disease Self-Management (SES6G). Results: The median age of the participants was 49.73±15.16 years, 113 (61.75%) of them were female, 64 (35.0%) had MS, 66 (36.1%) had diabetes, and 53 (29.0%) had LBP. Content validity was determined across all areas (clarity, relevancy, simplicity) by a content validity index ≥0.82. Additionally, all items were confirmed via a content validity ratio ≥0.78. The outcome of CFA depicts that the statistics presented as model fit were as follows: CFI= 0.938, NFI= 0.899, and RMSEA= 0.085. All PIH items exhibited valid internal consistency (0.886-0.893). The PIH showed sufficient test-retest reliability regarding its corresponding subscales (0.554-0.679). The construct validity was confirmed by the total scores of PIH correlated with the total score of SF-36, SES6G, and DSMS. Discussion: The Persian variant of the PIH showed sufficient validity and reliability as a measure to assess self-management in patients suffering from chronic disease (MS, diabetes, and LBP).\",\"PeriodicalId\":37644,\"journal\":{\"name\":\"Iranian Rehabilitation Journal\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iranian Rehabilitation Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32598/irj.20.4.1485.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Rehabilitation Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32598/irj.20.4.1485.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Translation and Psychometric Evaluation of the Partners in Health Scale Among Iranian Adults With Chronic Diseases
Objectives: Characterizing the psychometric attributes of the Persian variant of partners in health (PIH) in multiple sclerosis (MS), Diabetes, and Low Back Pain (LBP) patients. Methods: In this cross-sectional study, 183 MS, diabetes, and LBP patients (70 male, 113 female) were treated with PIH post-forward-backward translation. Confirmatory factor analysis was used for studying the factor structure. Cronbach’s α and McDonald’s Ω coefficients were used to analyze PIH internal consistency. We used an interclass correlation coefficient to evaluate test-retest reliability. Criterion validity was determined by studying the correlation of PIH and Short Form (36) Health Survey (SF-36), Diabetes Self-Management Scale (DSMS), and Self-Efficacy in Chronic Disease Self-Management (SES6G). Results: The median age of the participants was 49.73±15.16 years, 113 (61.75%) of them were female, 64 (35.0%) had MS, 66 (36.1%) had diabetes, and 53 (29.0%) had LBP. Content validity was determined across all areas (clarity, relevancy, simplicity) by a content validity index ≥0.82. Additionally, all items were confirmed via a content validity ratio ≥0.78. The outcome of CFA depicts that the statistics presented as model fit were as follows: CFI= 0.938, NFI= 0.899, and RMSEA= 0.085. All PIH items exhibited valid internal consistency (0.886-0.893). The PIH showed sufficient test-retest reliability regarding its corresponding subscales (0.554-0.679). The construct validity was confirmed by the total scores of PIH correlated with the total score of SF-36, SES6G, and DSMS. Discussion: The Persian variant of the PIH showed sufficient validity and reliability as a measure to assess self-management in patients suffering from chronic disease (MS, diabetes, and LBP).
期刊介绍:
Iranian Rehabilitation Journal aims to provide the readers with a variety of topics, including: original articles, hypothesis formation, editorials, literature reviews, case reports, short communications, special reports, letters to the editor, discussions of public policy issues and book reviews, and methodology articles in the fields of rehabilitation and social welfare, including (but not limited to): -Clinical and basic research in various special needs groups -Physical and mental rehabilitation -Epidemiological studies on disabling conditions -Biostatistics -Vocational and socio-medical aspects of rehabilitation IRJ also welcomes papers focusing on the genetic basis of common disabling disorders across human populations. Those studies may include (but not limited to): -The genetic basis of common single gene and complex disorders. -Bioinformatics tools to investigate and to model biological phenomena -Novel computational tools and databases -Sequence analysis -Population analysis -Databases and text mining