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  1. Abu Hammattah A, Mohd Yunus R, Matthias Müller A, Bahyah Kamaruzzaman S, Naqiah Hairi N
    Australas J Ageing, 2021 Dec;40(4):390-396.
    PMID: 33594750 DOI: 10.1111/ajag.12919
    OBJECTIVE: The aim of this study was to examine the association between structural social support and quality of life (QoL) among urban older people in Malaysia.

    METHODS: Cross-sectional data of 1484 participants from the first wave of the Malaysian Elders Longitudinal Research (MELoR) were analysed. QoL was measured with the Control, Autonomy, Self-realization, and Pleasure 12-item scale (CASP-12). Multivariate analyses were run using the generalised linear interactive model (GLIM) to determine the association between structural social support measures and QoL.

    RESULTS: The mean age of the sample was 70.1 (SD = 7.4) years. Being married (B = 0.05, 95%CI 0.02, 0.08), larger social networks (B = 0.01, 95%CI 0.01, 0.02) and social participation (B = 0.02, 95%CI 0.02, 0.09) were associated with higher QoL, while living alone (B= -0.04, 95%CI -0.06, -0.02) was associated with lower QoL.

    CONCLUSION: Structural social support plays an important role in the QoL of older people in Malaysia.

  2. Rashid NSA, Mohamad Marzuki MF, Abdullah NN, Mohamad M, Takshe AA, Mohd Yunus R, et al.
    Sci Rep, 2024 Aug 20;14(1):19302.
    PMID: 39164373 DOI: 10.1038/s41598-024-69947-7
    Dementia significantly impacts caregivers, particularly in low and middle-income countries where support is often inadequate. Given the gap in affordable and culturally relevant digital resources for Malaysian dementia caregivers, we developed "Demensia KITA," a mobile application (app) specifically tailored to their needs. This study utilized a theoretical framework proposed from existing literature and the "Model of Carer Stress and Burden". This paper discusses our app content development, highlighting key findings and challenges. To assess caregivers' needs, the Nominal Group Technique (NGT) with five dementia caregivers was conducted, followed by a Focus Group Discussion (FGD) with eight medical professionals. Both sessions were conducted online via Google Meet. In the NGT, ideas were generated, organized, prioritized, reviewed, and refined by medical professionals in the FGD. Content relevant to addressing the complexities of dementia caregiving was then discussed. Topics were either adapted from established modules or newly developed from credible sources. Subsequently, these were organized into modules and themes, and subsequently underwent expert validation. From the NGT, three key domains emerged: Knowledge, Services, and Support. These were further organized into two modules: 'Patient Care for Caregivers' and 'Caregiver Wellbeing'. Within these, twelve sub-modules were identified, covering a range of topics including basic knowledge on dementia, patient care, nutritional management, oral and dental care, simple exercises, daily activity and memory rehabilitation, service directories, support groups, emotional and stress management, welfare assistance, and daily motivation. This framework was developed to address the specific needs of dementia caregivers in terms of psychoeducation, psychosocial and caregiving skills, incorporating expert opinions in the field. This study corroborates the feasibility of online methods for mobile health app content development and encourages similar research. Future studies should evaluate Demensia KITA's effectiveness in alleviating caregiver burden across all regions, assess users' acceptance, and ensure it meets the evolving needs of Malaysian caregivers with regular updates.
  3. Mohd Mydin FH, Mikton C, Choo WY, Shanmugam RH, Murray A, Yon Y, et al.
    Campbell Syst Rev, 2023 Sep;19(3):e1342.
    PMID: 37383829 DOI: 10.1002/cl2.1342
    BACKGROUND: The psychometric properties of elder abuse measurement instruments have not been well-studied. Poor psychometric properties of elder abuse measurement instruments may contribute to the inconsistency of elder abuse prevalence estimates and uncertainty about the magnitude of the problem at the national, regional, and global levels.

    OBJECTIVES: The present review will utilise the COSMIN taxonomy on the quality of outcome measures to identify and review the instruments used in measuring elder abuse, assess the instrument's measurement properties, and identify the definitions of elder abuse and abuse subtypes measured by the instrument.

    SEARCH METHODS: Searches will be conducted in the following online databases: Ageline, ASSIA, CINAHL, CNKI, EMBASE, Google Scholar, LILACS, Proquest Dissertation & Theses Global, PsycINFO, PubMed, SciELO, Scopus, Sociological Abstract and WHO Index Medicus. Relevant studies will also be identified by searching the grey literature from several resources such as OpenAIRE, BASE, OISter and Age Concern NZPotential studies by searching the references of related reviews. We will contact experts who have conducted similar work or are currently conducting ongoing studies. Enquiries will also be sent to the relevant authors if any important data is missing, incomplete or unclear.

    SELECTION CRITERIA: All quantitative, qualitative (that address face and content validity), and mixed-method empirical studies published in peer-reviewed journals or the grey literature will be included in this review. Studies will be included if they are primary studies that (1) evaluate one or more psychometric properties; (2) contain information on instrument development, or (3) perform content validity of the instruments designed to measure elder abuse in the community or institutional settings. Studies should describe at least one of the psychometric properties, such as reliability, validity and responsiveness. Study participants represent the population of interest, including males and females aged 60 or older in community or institutional settings (i.e., nursing homes, long-term care facilities, assisted living, residential care institutions, and residential facilities).

    DATA COLLECTION AND ANALYSIS: Screening of titles, abstracts, and full texts of the selected studies will be evaluated based on the preset inclusion criteria by two reviewers. Two reviewers will be assessing the quality appraisal of each study using the COSMIN Risk of Bias checklist and the overall quality of evidence of each psychometric property of the instrument against the updated criteria of good measurement properties. Any dispute between the two reviewers will be resolved through discussions or consensus with a third reviewer. The overall quality of the measurement instrument will be graded using a modified GRADE approach. Data extraction will be performed using the data extraction forms adapted from the COSMIN Guideline for Systematic Reviews of Outcome Measurement Instruments. The information includes the characteristic of included instruments (name, adaptation, language used, translation and country of origin), characteristics of the tested population, psychometric properties listed in the COSMIN criteria, including details on the instrument development, content validity, structural validity, internal consistency, cross-cultural validity/measurement invariance, reliability, measurement error, criterion validity, hypotheses testing for construct validity, responsiveness and interoperability. We will perform a meta-analysis to pool psychometric properties parameters (where possible) or summarise qualitatively.

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