ReviewInternational journal of environmental research and public health2014
A review of data quality assessment methods for public health information systems.
Review in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 5 of them syntheses that pooled it.
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
116 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Common data quality elements for health information systems: a systematic review.BMC medical informatics and decision making · 2024Pooled it
- Data Quality-Driven Improvement in Health Care: Systematic Literature Review.Journal of medical Internet research · 2024Pooled it
- Evaluating pituitary adenomas using national research databases: systematic review of the quality of reporting based on the STROBE scale.Neurosurgical review · 2022Pooled it
- Standards, Processes, and Tools Used to Evaluate the Quality of Health Information Systems: Systematic Literature Review.Journal of medical Internet research · 2022Pooled it
- Information Quality Frameworks for Digital Health Technologies: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.PloS one · 2019Trial
- Trial
- Implementing a quality assurance and maintenance framework for standardized clinical terminology data in a multi-institutional setting.BMC medical informatics and decision making · 2026Article
- National TB cohort review evaluation: insights for control strategies in low-incidence settings.IJTLD open · 2026Article
- Modernizing Vaccination Data System: Design, Development, and Deployment of a Digital Vaccination Registry in Liberia, 2023-2025.Vaccines · 2026Article
- Towards a sustainable high-quality materials data ecosystem: frameworks and strategies.National science review · 2026Review
- Landscape analysis towards data quality and utility labelling in the European Health Data Space.European journal of public health · 2026Article
- A governance framework for medical code standardization to enhance multi-institutional data quality.BMC medical informatics and decision making · 2026Article
- Challenges and potential opportunities for improving One Health surveillance in low-resource settings: Insights from rabies surveillance in Malawi.One health outlook · 2026Article
- Multi-heterogeneous data fusion for enterprise data asset valuation in public health policy context.Frontiers in public health · 2026Article
- Optimizing adolescent HIV care: a review of EMR system quality for clinical monitoring in Zambia.Frontiers in public health · 2026Article
- Integrating Digital and Ancillary Technologies in the Modern Clinical Evaluation of Chorea.Movement disorders clinical practice · 2025Article
- Usability evaluation of a DHIS2-based electronic information management system for environmental, occupational health and food safety in Sri Lanka.BMJ health & care informatics · 2025Article
- Data quality assessment of pig movements in the Norwegian Livestock Register reveals challenges for outbreak preparedness.BMC veterinary research · 2025Article
- Impact of Primary Health Care Data Quality on Infectious Disease Surveillance in Brazil: Case Study.JMIR public health and surveillance · 2025Article
56 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High quality data and effective data quality assessment are required for accurately evaluating the impact of public health interventions and measuring public health outcomes. Data, data use, and data collection process, as the three dimensions of data quality, all need to be assessed for overall data quality assessment. We reviewed current data quality assessment methods. The relevant study was identified in major databases and well-known institutional websites. We found the dimension of data was most frequently assessed. Completeness, accuracy, and timeliness were the three most-used attributes among a total of 49 attributes of data quality. The major quantitative assessment methods were descriptive surveys and data audits, whereas the common qualitative assessment methods were interview and documentation review. The limitations of the reviewed studies included inattentiveness to data use and data collection process, inconsistency in the definition of attributes of data quality, failure to address data users' concerns and a lack of systematic procedures in data quality assessment. This review study is limited by the coverage of the databases and the breadth of public health information systems. Further research could develop consistent data quality definitions and attributes. More research efforts should be given to assess the quality of data use and the quality of data collection process.
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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.