ReviewInternational journal for equity in health2023
Measuring health equity in the ASEAN region: conceptual framework and assessment of data availability.
Review in International journal for equity in health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Design and development of a disease-agnostic remote patient monitoring typology and associated tools.PLOS digital health · 2026Article
- From rhetoric to reality: organisational practices of health equity in Switzerland.International journal for equity in health · 2025Article
- The shifting burden of gastrointestinal and liver diseases across 11 Southeast Asian nations: a 1990-2021 systematic analysis from the global burden of disease study.Asian biomedicine : research, reviews and news · 2025Article
- Can medical consortiums bridge the gap in health inequity in China? A propensity score matching analysis.Health policy and planning · 2025Article
- Guiding responsible AI in healthcare in the Philippines.NPJ digital medicine · 2025Review
- An equity analysis of remote patient monitoring programs unveils assumptions on digital health equity.NPJ digital medicine · 2025Review
- Data for public health analysis in the ASEAN countries: a scoping review protocol.BMJ public health · 2025Article
- Correction: Measuring health equity in the ASEAN region: conceptual framework and assessment of data availability.International journal for equity in health · 2024Article
- Correction: Measuring health equity in the ASEAN region: conceptual framework and assessment of data availability.International journal for equity in health · 2024Article
- Applying Lessons from the COVID-19 Pandemic to Universal Health Care.Acta medica Philippina · 2024Article
- The "Iron Triangle" of Healthcare Services: Evaluating an Integrated Healthcare Alliance's Impact on Primary Care in Shenzhen, China.International journal of integrated careArticle
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
backgroundExisting research on health equity falls short of identifying a comprehensive set of indicators for measurement across health systems. Health systems in the ASEAN region, in particular, lack a standardised framework to assess health equity. This paper proposes a comprehensive framework to measure health equity in the ASEAN region and highlights current gaps in data availability according to its indicator components.
methodsA comprehensive literature review was undertaken to map out a core set of indicators to evaluate health equity at the health system level. Secondary data collection was subsequently conducted to assess current data availability for ASEAN states in key global health databases, national health accounts, and policy documents.
resultsA robust framework to measure health equity was developed comprising 195 indicators across Health System Inputs and Processes, Outputs, Outcomes, and Contextual Factors. Total indicator data availability equated to 72.9% (1423/1950). Across the ASEAN region, the Inputs and Processes sub-component of Health Financing had complete data availability for all indicators (160/160, 100%), while Access to Essential Medicine had the least data available (6/30, 20%). Under Outputs and Outcomes, Coverage of Selected Interventions (161/270, 59.63%) and Population Health (350/350, 100%) respectively had the most data available, while other indicator sub-components had little to none (≤ 38%). 72.145% (384/530) of data is available for all Contextual Factors. Out of the 10 ASEAN countries, the Philippines had the highest data availability overall at 77.44% (151/195), while Brunei Darussalam and Vietnam had the lowest data availability at 67.18% (131/195).
conclusionsThe data availability gaps highlighted in this study underscore the need for a standardised framework to guide data collection and benchmarking of health equity in ASEAN. There is a need to prioritise regular data collection for overlooked indicator areas and in countries with low levels of data availability. The application of this indicator framework and resulting data availability analysis could be conducted beyond ASEAN to enable cross-regional benchmarking of health equity.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.