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.
OBJECTIVES: The key objective of this evidence and gap map (EGM) is to locate evidence on interventions for in-service TPD focussing on education for the inclusion of students with a disability in low- and middle-income countries (LMICs) in the Asia-Pacific region.
SEARCH METHODS: A broad range of bibliographic databases and repositories were searched electronically to identify the evidence published between January 2000 and December 2021. Key search platforms included the British Education Index (BEI), Education Research Complete (ERC), Education Resources Information Center (ERIC), SCOPUS, 3ie Development Evidence Portal (Evidence Hub) and the Campbell Collaborations Systematic Reviews and EGMs portal (Better evidence for a better world). In addition, potential program evaluations/impact reports, reviews, case studies, and program descriptions/summaries were sought through 'snowballing' based on searching bibliographies and reference lists of papers located during the search process, as well as specific searches of relevant grey literature.
SELECTION CRITERIA: To be eligible for inclusion, studies had to contain sufficient details about TPD interventions that support early childhood educators and kindergarten to Year 12 teachers to understand the needs of students with disabilities and aid them to create inclusive mainstream classrooms and/or provide improved support for students with disabilities in special education settings.
DATA COLLECTION AND ANALYSIS: A total of 820 records were entered into the MS Excel file in which the entire data extraction process was managed. All records were screened against the predefined inclusion and exclusion criteria. Data were extracted independently by two reviewers and any differences were resolved through consultations. All included studies and their characteristics were extracted from the MS Excel file and uploaded to the ACER server in.csv file format. The interactive, online EGM is available here: https://datavis.acer.org/gem/disability-inclusion-TPD/.
MAIN RESULTS: Fifty studies from 16 countries out of the 41 LMICs in the Asia-Pacific region were identified, whereby Thailand had the largest number of studies with evidence (7) followed by China, Vietnam, and India (5 each). Two main gaps in research about professional learning were identified. First, only three studies reported interventions aimed at supporting mental health among students with a disability. Second, no studies were found that reported on how teachers could support positive student behaviour. These gaps are important because research has persistently suggested that experiencing disability is an important risk factor for young people developing mental health conditions.
AUTHORS' CONCLUSIONS: This report illustrates the critical value of evaluating and publishing evidence from disability inclusive TPD interventions in LMICs, including any that are ongoing, or are components of highly resource intensive large-scale education sector programs.
OBJECTIVES: The primary objectives of this review were to assess the effectiveness of the flipped classroom intervention for undergraduate health professional students on their academic performance, and their course satisfaction.
SEARCH METHODS: We identified relevant studies by searching MEDLINE (Ovid), APA PsycINFO, Education Resources Information Center (ERIC) as well as several more electronic databases, registries, search engines, websites, and online directories. The last search update was performed in April 2022.
SELECTION CRITERIA: Included studies had to meet the following criteria: Participants: Undergraduate health professional students, regardless of the type of healthcare streams (e.g., medicine, pharmacy), duration of the learning activity, or the country of study. Intervention: We included any educational intervention that included the flipped classroom as a teaching and learning tool in undergraduate programs, regardless of the type of healthcare streams (e.g., medicine, pharmacy). We also included studies that aimed to improve student learning and/or student satisfaction if they included the flipped classroom for undergraduate students. We excluded studies on standard lectures and subsequent tutorial formats. We also excluded studies on flipped classroom methods, which did not belong to the health professional education(HPE) sector (e.g., engineering, economics). Outcomes: The included studies used primary outcomes such as academic performance as judged by final examination grades/scores or other formal assessment methods at the immediate post-test, as well as student satisfaction with the method of learning. Study design: We included randomised controlled trials (RCTs), quasi-experimental studies (QES), and two-group comparison designs. Although we had planned to include cluster-level RCTs, natural experiments, and regression discontinuity designs, these were not available. We did not include qualitative research.
DATA COLLECTION AND ANALYSIS: Two members of the review team independently screened the search results to assess articles for their eligibility for inclusion. The screening involved an initial screening of the title and abstracts, and subsequently, the full text of selected articles. Discrepancies between the two investigators were settled through discussion or consultation with a third author. Two members of the review team then extracted the descriptions and data from the included studies.
MAIN RESULTS: We found 5873 potentially relevant records, of which we screened 118 of them in full text, and included 45 studies (11 RCTs, 19 QES, and 15 two-group observational studies) that met the inclusion criteria. Some studies assessed more than one outcome. We included 44 studies on academic performance and eight studies on students' satisfaction outcomes in the meta-analysis. The main reasons for excluding studies were that they had not implemented a flipped class approach or the participants were not undergraduate students in health professional education. A total of 8426 undergraduate students were included in 45 studies that were identified for this analysis. The majority of the studies were conducted by students from medical schools (53.3%, 24/45), nursing schools (17.8%, 8/45), pharmacy schools (15.6%, 7/45). medical, nursing, and dentistry schools (2.2%, 1/45), and other health professional education programs (11.1%, 5/45). Among these 45 studies identified, 16 (35.6%) were conducted in the United States, six studies in China, four studies in Taiwan, three in India, two studies each in Australia and Canada, followed by nine single studies from Brazil, German, Iran, Norway, South Korea, Spain, the United Kingdom, Saudi Arabia, and Turkey. Based on overall average effect sizes, there was better academic performance in the flipped class method of learning compared to traditional class learning (standardised mean difference [SMD] = 0.57, 95% confidence interval [CI] = 0.25 to 0.90, τ 2: 1.16; I 2: 98%; p
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.