Displaying all 6 publications

Abstract:
Sort:
  1. Mansor N, Awang H, Amuthavalli Thiyagarajan J, Mikton C, Diaz T
    Age Ageing, 2023 Oct 28;52(Suppl 4):iv118-iv132.
    PMID: 37902520 DOI: 10.1093/ageing/afad101
    OBJECTIVE: this study aims to conduct a systematic review on available instruments for measuring older persons' ability to learn, grow and make decisions and to critically review the measurement properties of the identified instruments.

    METHODS: we searched six electronic databases, which include PubMed, Embase, PsycINFO, SciELO, ERIC and AgeLine, between January 2000 and April 2022. Reference lists of the included papers were also manually searched. The COSMIN (CONsensus-based Standards for the selection of health Measurement Instruments) guidelines were used to evaluate the measurement properties and the quality of evidence for each instrument.

    RESULTS: 13 instruments from 29 studies were included for evaluation of their measurement properties. Of the 13 reviewed, 6 were on the ability to learn, 3 were on the ability to grow and 4 were on the ability to make decisions. The review found no single instrument that measured all three constructs in unidimensional or multidimensional scales. Many of the instruments were found to have sufficient overall rating on content validity, structural validity, internal consistency and cross-cultural validity. The quality of evidence was rated as low due to a limited number of related validation studies.

    CONCLUSION: a few existing instruments to assess the ability to learn, grow and make decisions of older people can be identified in the literature. Further research is needed in validating them against functional, real-world outcomes.

  2. Mikton C, Power M, Raleva M, Makoae M, Al Eissa M, Cheah I, et al.
    Child Abuse Negl, 2013 Dec;37(12):1237-51.
    PMID: 23962585 DOI: 10.1016/j.chiabu.2013.07.009
    This study aimed to systematically assess the readiness of five countries - Brazil, the Former Yugoslav Republic of Macedonia, Malaysia, Saudi Arabia, and South Africa - to implement evidence-based child maltreatment prevention programs on a large scale. To this end, it applied a recently developed method called Readiness Assessment for the Prevention of Child Maltreatment based on two parallel 100-item instruments. The first measures the knowledge, attitudes, and beliefs concerning child maltreatment prevention of key informants; the second, completed by child maltreatment prevention experts using all available data in the country, produces a more objective assessment readiness. The instruments cover all of the main aspects of readiness including, for instance, availability of scientific data on the problem, legislation and policies, will to address the problem, and material resources. Key informant scores ranged from 31.2 (Brazil) to 45.8/100 (the Former Yugoslav Republic of Macedonia) and expert scores, from 35.2 (Brazil) to 56/100 (Malaysia). Major gaps identified in almost all countries included a lack of professionals with the skills, knowledge, and expertise to implement evidence-based child maltreatment programs and of institutions to train them; inadequate funding, infrastructure, and equipment; extreme rarity of outcome evaluations of prevention programs; and lack of national prevalence surveys of child maltreatment. In sum, the five countries are in a low to moderate state of readiness to implement evidence-based child maltreatment prevention programs on a large scale. Such an assessment of readiness - the first of its kind - allows gaps to be identified and then addressed to increase the likelihood of program success.
  3. Mikton C, Beaulieu M, Burnes D, Choo WY, Herbst JH, Pillemer K, et al.
    Nat Aging, 2022 Nov;2(11):973-975.
    PMID: 37118090 DOI: 10.1038/s43587-022-00301-0
    Currently, there are no evidence-based interventions to prevent and respond to abuse of older people. We propose to create, within the Decade of Healthy Ageing 2021–2030, an intervention accelerator to speed up the development of effective interventions for abuse of older people in community and institutional settings within low-, middle- and high-income countries.
  4. 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.

  5. Mohd Mydin FH, Mikton C, Choo WY, Shunmugam RH, Murray A, Yon Y, et al.
    Campbell Syst Rev, 2024 Sep;20(3):e1419.
    PMID: 39211334 DOI: 10.1002/cl2.1419
    BACKGROUND: The examination of psychometric properties in instruments measuring abuse of older people (AOP) is a crucial area of study that has, unfortunately, received relatively little attention. Poor psychometric properties in AOP measurement instruments can significantly contribute to inconsistencies in prevalence estimates, casting a shadow of uncertainty over the magnitude of the problem at national, regional, and global levels.

    OBJECTIVES: This review rigorously employed the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) guideline on the quality of outcome measures. It was designed to identify and review the instruments used to measure AOP, assess the instruments' measurement properties, and identify the definitions of AOP and abuse subtypes measured by these instruments, ensuring the reliability and validity of the findings.

    SEARCH METHODS: A comprehensive search was conducted up to May 2023 across various online databases, including AgeLine via EBSCOhost, ASSIA via ProQuest, CINAHL via EBSCOhost, EMBASE, LILACS, ProQuest Dissertation & Theses Global, PsycINFO via EBSCOhost, PubMed, SciELO, Scopus, Sociological Abstract via ProQuest, Chinese National Knowledge Infrastructure (CNKI), Google Scholar and WHO Global Index Medicus. Additionally, relevant studies were identified by thoroughly searching the grey literature from resources such as Campbell Collaboration, OpenAIRE, and GRAFT.

    SELECTION CRITERIA: All quantitative, qualitative (addressing face and content validity), and mixed-method empirical studies published in peer-reviewed journals or grey literature were included in this review. The included studies were primary studies that (1) evaluated one or more psychometric properties, (2) contained information on instrument development, or (3) examined the content validity of the instruments designed to measure AOP in community or institutional settings. The selected studies describe at least one psychometric property: reliability, validity, and responsiveness. Study participants represent the population of interest, including males and females aged 60 or older in community or institutional settings.

    DATA COLLECTION AND ANALYSIS: Two reviewers evaluated the screening of the selected studies' titles, abstracts, and full texts based on the preset selection criteria. Two reviewers assessed the quality of each study using the COSMIN Risk of Bias checklist and the overall quality of evidence for each psychometric property of the instrument against the updated COSMIN criteria of good measurement properties. Disagreements were resolved through consensus discussion or with assistance from a third reviewer. The overall quality of the measurement instrument was graded using a modified GRADE approach. Data extraction was performed using data extraction forms adapted from the COSMIN Guideline for Systematic Reviews of Outcome Measurement Instruments. The extracted data included information on the characteristics of included instruments (name, adaptation, language used, translation and country of origin), characteristics of the tested population, instrument development, psychometric properties listed in the COSMIN criteria, including details on content validity, structural validity, internal consistency, cross-cultural validity/measurement invariance, reliability, measurement error, criterion validity, hypotheses testing for construct validity, responsiveness, and interoperability. All data were synthesised and summarised qualitatively, and no meta-analysis was performed.

    MAIN RESULTS: We found 15,200 potentially relevant records, of which 382 were screened in full text. A total of 114 studies that met the inclusion criteria were included. Four studies reported on more than one instrument. The primary reasons for excluding studies were their focus on instruments used solely for screening and diagnostic purposes, those conducted in hospital settings, or those without evaluating psychometric properties. Eighty-seven studies reported on 46 original instruments and 29 studies on 22 modified versions of an original instrument. The majority of the studies were conducted in community settings (97 studies) from the perspective of older adults (90 studies) and were conducted in high-income countries (69 studies). Ninety-five studies assessed multiple forms of abuse, ranging from 2 to 13 different subscales; four studies measured overall abuse and neglect among older adults, and 14 studies measured one specific type of abuse. Approximately one-quarter of the included studies reported on the psychometric properties of the most frequently used measurement instruments: HS-EAST (assessed in 11 studies), VASS-12 items (in 9 studies), and CASE (in 9 studies). The instruments with the most evidence available in studies reporting on instrument development and content validity in all domains (relevance, comprehensiveness and comprehensibility) were the DEAQ, OAPAM, *RAAL-31 items, *ICNH (Norwegian) and OAFEM. For other psychometric properties, instruments with the most evidence available in terms of the number of studies were the HS-EAST (11 studies across 5 of 9 psychometric properties), CASE (9 studies across 6 of 9 psychometric properties), VASS-12 items (9 studies across 5 of 9 psychometric properties) and GMS (5 studies across 4 of 9 psychometric properties). Based on the overall rating and quality of evidence, the psychometric properties of the AOP measurement instruments used for prevalence measurement in community and institutional settings were insufficient and of low quality.

    AUTHORS' CONCLUSIONS: This review aimed to assess the overall rating and quality of evidence for instruments measuring AOP in the community and institutional settings. Our findings revealed various measurement instruments, with ratings and evidence quality predominantly indicating insufficiency and low quality. In summary, the psychometric properties of AOP measurement instruments have not been comprehensively investigated, and existing instruments lack sufficient evidence to support their validity and reliability.

  6. Welch V, Tanjong Ghogomu E, Dowling S, Choo WY, Yunus RM, Mohd TAMT, et al.
    Campbell Syst Rev, 2023 Sep;19(3):e1340.
    PMID: 37361556 DOI: 10.1002/cl2.1340
    This is the protocol for an evidence and gap map. The objectives are as follows: This EGM aims to map available evidence on the effects of in-person interventions to reduce social isolation and/or loneliness across all age groups in all settings.
Related Terms
Filters
Contact Us

Please provide feedback to Administrator ([email protected])

External Links