ArticleJournal of public health management and practice : JPHMP
Quality of HIV Testing Data Before and After the Implementation of a National Data Quality Assessment and Feedback System.
Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A realist systematic review of evidence from low- and middle-income countries of interventions to improve immunization data use.BMC health services research · 2021Pooled it
- Measles epidemiological surveillance system before and during the COVID-19 pandemic in Pernambuco, Brazil, 2018-2022: a descriptive evaluation.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
- The impact of routine data quality assessments on electronic medical record data quality in Kenya.PloS one · 2018Article
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Authors and funding
4 authors.
Funding
Abstract
contextIn 2010, the Centers for Disease Control and Prevention (CDC) implemented a national data quality assessment and feedback system for CDC-funded HIV testing program data.
objectiveOur objective was to analyze data quality before and after feedback.
designCoinciding with required quarterly data submissions to CDC, each health department received data quality feedback reports and a call with CDC to discuss the reports. Data from 2008 to 2011 were analyzed.
settingFifty-nine state and local health departments that were funded for comprehensive HIV prevention services.
participantsData collected by a service provider in conjunction with a client receiving HIV testing.
interventionNational data quality assessment and feedback system.
main outcome measuresBefore and after intervention implementation, quality was assessed through the number of new test records reported and the percentage of data values that were neither missing nor invalid. Generalized estimating equations were used to assess the effect of feedback in improving the completeness of variables.
resultsData were included from 44 health departments. The average number of new records per submission period increased from 197 907 before feedback implementation to 497 753 afterward. Completeness was high before and after feedback for race/ethnicity (99.3% vs 99.3%), current test results (99.1% vs 99.7%), prior testing and results (97.4% vs 97.7%), and receipt of results (91.4% vs 91.2%). Completeness improved for HIV risk (83.6% vs 89.5%), linkage to HIV care (56.0% vs 64.0%), referral to HIV partner services (58.9% vs 62.8%), and referral to HIV prevention services (55.3% vs 63.9%). Calls as part of feedback were associated with improved completeness for HIV risk (adjusted odds ratio [AOR] = 2.28; 95% confidence interval [CI], 1.75-2.96), linkage to HIV care (AOR = 1.60; 95% CI, 1.31-1.96), referral to HIV partner services (AOR = 1.73; 95% CI, 1.43-2.09), and referral to HIV prevention services (AOR = 1.74; 95% CI, 1.43-2.10).
conclusionsFeedback contributed to increased data quality. CDC and health departments should continue monitoring the data and implement measures to improve variables of low completeness.
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