Introduction: The Diabetes Mellitus (DM) is a common silent epidemic disease with frequent morbidity and mortality. The psychological and psychosocial health factors are negatively influencing the glycaemic control in diabetic patients. Therefore, various questionnaires were developed to address the psychological and psychosocial well-being of the diabetic patients. Most of these questionnaires were first developed in English and then translated into different languages to make them useful for the local communities.

Aim: The main aim of this study was to translate and validate the Malaysian versions of Perceived Diabetes Self-Management Scale (PDSMS), Medication Understanding and Use Self-Efficacy Scale (MUSE), and to revalidate 8-Morisky Medication Adherence Scale (MMAS-8) by Partial Credit Rasch Model (Modern Test Theory).

Materials And Methods: Permission was obtained from respective authors to translate the English versions of PDSMS, MUSE and MMAS-8 into Malay language according to established standard international translation guidelines. In this cross-sectional study, 62 adult DM patients were recruited from Hospital Kuala Lumpur by purposive sampling method. The data were extracted from the self-administered questionnaires and entered manually in the Ministeps (Winsteps) software for Partial Credit Rasch Model. The item and person reliability, infit/outfit Z-Standard (ZSTD), infit/outfit Mean Square (MNSQ) and point measure correlation (PTMEA Corr) values were analysed for the reliability analyses and construct validation.

Results: The Malay version of PDSMS, MUSE and MMAS-8 found to be valid and reliable instrument for the Malaysian diabetic adults. The instrument showed good overall reliability value of 0.76 and 0.93 for item and person reliability, respectively. The values of infit/outfit ZSTD, infit/outfit MNSQ, and PTMEA Corr were also within the stipulated range of the Rasch Model proving the valid item constructs of the questionnaire.

Conclusion: The translated Malay version of PDSMS, MUSE and MMAS-8 was found to be a highly reliable and valid questionnaire by Partial Credit Model. The Malay version was conceptually equivalent to original version, easy to understand and can be used for the Malaysian adult diabetic patients for future studies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5198358PMC
http://dx.doi.org/10.7860/JCDR/2016/15079.8845DOI Listing

Publication Analysis

Top Keywords

partial credit
16
rasch model
16
credit rasch
12
diabetic patients
12
pdsms muse
12
muse mmas-8
12
malay version
12
malaysian versions
8
versions perceived
8
perceived diabetes
8

Similar Publications

Excess biological sludge processing and disposal have a significant impact on the energy balance and economics of wastewater treatment operations, and on receiving environments. Anaerobic digestion is probably the most widespread in-plant sludge processing method globally, since it stabilizes and converts biosolids organic matter into biogas, allowing partial recovery of their embedded chemical energy. A considerable number of studies concerning applicable techniques to improve biogas production, both in quantity and quality, include pre-treatment strategies to promote biosolids disintegration aimed at the release and solubilisation of intracellular energy compounds, inorganic/biological amendments aimed at improving process performance, and sludge thermal pre-treatment.

View Article and Find Full Text PDF

Background: The new patient cataract and lens ophthalmic questionnaire (CLOQ) determines subjective patient satisfaction before and after cataract surgery according to item response theory (IRT).

Methods: A total of 317 patients with bilateral cataract surgery and implantation of different intraocular lens (IOL) types were included. The questionnaire (37 questions) is divided into questions on visual acuity-relevant quality of life (VRQoL), quality of vision (QoV), spectacle dependence, and general satisfaction.

View Article and Find Full Text PDF

Validation of the Arabic Version of the Multiple Sclerosis Impact Scale (MSIS-29): a Rasch Analysis Study.

Arch Clin Neuropsychol

December 2024

Department of Psychology, School of Social Sciences, Humanities and Law, Teesside University, Borough Road, Middlesbrough TS1 3BX, UK.

Background: Multiple sclerosis (MS) is a potentially disabling disease of the brain and spinal cord. This cross-sectional study aimed to validate the Arabic version of the Multiple Sclerosis Impact Scale-29 (MSIS-29) using Rasch analysis to assess quality of life in Jordanian MS patients.

Method: Rasch analysis was conducted to evaluate the suitability of the model for the present study.

View Article and Find Full Text PDF

Purpose: Item response theory (IRT) models are an increasingly popular method choice for evaluating clinical outcome assessments (COAs) for use in clinical trials. Given common constraints in clinical trial design, such as limits on sample size and assessment lengths, the current study aimed to examine the appropriateness of commonly used polytomous IRT models, specifically the graded response model (GRM) and partial credit model (PCM), in the context of how they are frequently used for psychometric evaluation of COAs in clinical trials.

Methods: Data were simulated under varying sample sizes, measure lengths, response category numbers, and slope strengths, as well as under conditions that violated some model assumptions, namely, unidimensionality and equality of item slopes.

View Article and Find Full Text PDF

The objective of this study (registered under number 2020 006) was to assess the internal consistency of the revised Mental Health Professional Culture Inventory (MHPCI) scale, which comprises 15 items, among mental health service workers in Romania. To examine the psychometric properties of the MHPCI questionnaire within the Romanian population, we employed two main methods: The partial credit model (PCM) and Exploratory factor analysis (EFA). A total of 94 individuals were interviewed, and among them, 71 provided complete responses to the questionnaire.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!