2018
DOI: 10.1093/intqhc/mzy136
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Methods to measure quality of care and quality indicators through health facility surveys in low- and middle-income countries

Abstract: Our study underscores that, with adequate resources and technical expertise, collecting data for quality indicators at scale in low- and middle-income countries is possible. Our indicators offer a comparable, replicable and standardized framework to identify variations on quality of care. The indicators and methods described are highly transferable and could be used to measure quality of care in other countries.

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Cited by 18 publications
(15 citation statements)
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References 23 publications
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“…These criteria checklists were then transformed into data points and conditional algorithms for data collection. During field visits, medical record data availability and measurability of criteria were assessed 20. Data collection was conducted by trained physicians and nurses from the region, and data were submitted electronically using the survey software DatStat Illume.…”
Section: Methodsmentioning
confidence: 99%
“…These criteria checklists were then transformed into data points and conditional algorithms for data collection. During field visits, medical record data availability and measurability of criteria were assessed 20. Data collection was conducted by trained physicians and nurses from the region, and data were submitted electronically using the survey software DatStat Illume.…”
Section: Methodsmentioning
confidence: 99%
“…Having specified for each indicator a distribution from which the observations were drawn (binomial for indicators 1-3; normal distribution for indicators 4-6), we could formally define outliers as observations more than two standard deviations lower or higher than the common mean (the national average proportion of failure for indicators 1-3, and zero for indicators [4][5][6]. This corresponds to a test of a distributional hypothesis for each facility; the null hypothesis being "H 0 : the facility is drawn from the overall distribution".…”
Section: Statistical Analysis Of Outlying Performancementioning
confidence: 99%
“…Medical records constitute the prime data source to assess adherence to evidence-based clinical guidelines [5]. In high-income countries, electronic medical records (EMRs) are widely used to monitor clinical practices and to study regional variation of medical practices in the US [6].…”
Section: Introductionmentioning
confidence: 99%
“…Discharge abstracts allow institutions to track, for each patient, diagnoses, procedures, complications, and length of stay (CIHI, ), which then allows for calculation of quality indicators. Recently, Central American researchers developed a chart audit tool to assess quality of maternal and infant care across multiple indicators (Rios‐Zertuche, et al, ).…”
Section: Intelligence (Data and Analysis) Generationmentioning
confidence: 99%