Psychometric Properties of the Problem Areas in Diabetes (PAID) Instrument in Singapore

PloS One
Kavita VenkataramanHwee Lin Wee

Abstract

Emotional distress is an important dimension in diabetes, and several instruments have been developed to measure this aspect. The Problem Areas in Diabetes (PAID) scale is one such instrument which has demonstrated validity and reliability in Western populations, but its psychometric properties in Asian populations have not been examined. This was a secondary analysis of data from patients with Type 2 diabetes mellitus recruited through convenience sampling from a diabetes specialist outpatient clinic in Singapore. The following psychometric properties were assessed: Construct validity through confirmatory factor analysis (CFA) and Rasch analysis, concurrent validity through correlation with related scales (Kessler Psychological Distress Scale, Diabetes Health Profile-psychological distress, Audit of Diabetes Dependent Quality of Life), reliability through assessment of internal consistency and floor and ceiling effects, and sensitivity by estimating effect sizes for known clinical and social functioning groups. 203 patients with mean age of 45±12 years were analysed. None of the previously published model structures achieved a good fit on CFA. On Rasch analysis, four items showed poor fit and were removed. The abridged 16-item...Continue Reading

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Citations

Mar 14, 2018·Diabetic Medicine : a Journal of the British Diabetic Association·Z K LumJ Y-C Lee
Apr 4, 2019·Diabetes Technology & Therapeutics·Maria O ChristensenKirsten Nørgaard
May 24, 2019·The Cochrane Database of Systematic Reviews·Leanne V JonesBrian S Buckley
Mar 28, 2018·Medical Decision Making : an International Journal of the Society for Medical Decision Making·Hwee Lin WeeYin Bun Cheung
Jan 26, 2020·Diabetes Therapy : Research, Treatment and Education of Diabetes and Related Disorders·Sanjay KalraUditha Bulugahapitiya
Feb 19, 2020·Nursing·Danielle Baldwin, Bridget Parsh
Aug 17, 2021·Journal of Medical Internet Research·Priscilla Jia Ling WeeLian Leng Low

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Software Mentioned

STATA
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MS

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