ArticleAmerican journal of preventive medicine2016
Measuring Preventive Care Delivery: Comparing Rates Across Three Data Sources.
Article in American journal of preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 24 citations in OpenAlex.
- Enhanced access to healthcare utilization data through medical record review: Lessons learned from a community-based, multi-site project.Research in nursing & health · 2021Trial
- Implementation Lessons From a Randomized Trial Integrating Community Asthma Education for Children.The Journal of ambulatory care managementTrial
- Modest improvement in universal prenatal syphilis screening five years after legislation enacted.Pregnancy (Hoboken, N.J.) · 2025Article
- Completeness and Quality of Data for Children in Medicaid Comprehensive Managed Care Compared to Fee-for-Service, 2001-2019.Health services research · 2025Observational
- Manual Evaluation of Record Linkage Algorithm Performance in Four Real-World Datasets.Applied clinical informatics · 2024Article
- A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Patient-level factors associated with receipt of preventive care in the safety net.Preventive medicine · 2022Article
- Comparing ascertainment of chronic condition status with problem lists versus encounter diagnoses from electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Assessing Cancer History Accuracy in Primary Care Electronic Health Records Through Cancer Registry Linkage.Journal of the National Cancer Institute · 2021Article
- Uptake of Preventive Services Among Patients With and Without Multimorbidity.American journal of preventive medicine · 2020Article
- Validation of an Optimized Algorithm for Identifying Persons Living With Diagnosed HIV From New York State Medicaid Data, 2006-2014.American journal of epidemiology · 2020Article
- Payment for Contraceptive Services in Safety Net Clinics: Roles of Affordable Care Act, Title X, and State Programs.Medical care · 2020Article
- Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium.Journal of the National Cancer Institute · 2020Article
- Breast, Cervical, and Colorectal Cancer Screening: Patterns Among Women With Medicaid and Commercial Insurance.American journal of preventive medicine · 2019Article
- Use of a Preventive Index to Examine Clinic-Level Factors Associated With Delivery of Preventive Care.American journal of preventive medicine · 2019Article
- Medicaid coverage accuracy in electronic health records.Preventive medicine reports · 2018Article
- Use of a prescription opioid registry to examine opioid misuse and overdose in an integrated health system.Preventive medicine · 2018Article
- Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms.EGEMS (Washington, DC) · 2017Article
- Assessing Community Cancer care after insurance ExpanSionS (ACCESS) study protocol.Contemporary clinical trials communications · 2017Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
introductionPreventive care delivery is an important quality outcome, and electronic data reports are being used increasingly to track these services. It is highly informative when electronic data sources are compared to information manually extracted from medical charts to assess validity and completeness.
methodsThis cross-sectional study used a random sample of Medicaid-insured patients seen at 43 community health centers in 2011 to calculate standard measures of correspondence between manual chart review and two automated sources (electronic health records [EHRs] and Medicaid claims), comparing documentation of orders for and receipt of ten preventive services (n=150 patients/service). Data were analyzed in 2015.
resultsUsing manual chart review as the gold standard, automated EHR extraction showed near-perfect to perfect agreement (κ=0.96-1.0) for services received within the primary care setting (e.g., BMI, blood pressure). Receipt of breast and colorectal cancer screenings, services commonly referred out, showed moderate (κ=0.42) to substantial (κ=0.62) agreement, respectively. Automated EHR extraction showed near-perfect agreement (κ=0.83-0.97) for documentation of ordered services. Medicaid claims showed near-perfect agreement (κ=0.87) for hyperlipidemia and diabetes screening, and substantial agreement (κ=0.67-0.80) for receipt of breast, cervical, and colorectal cancer screenings, and influenza vaccination. Claims showed moderate agreement (κ=0.59) for chlamydia screening receipt. Medicaid claims did not capture ordered or unbilled services.
conclusionsFindings suggest that automated EHR and claims data provide valid sources for measuring receipt of most preventive services; however, ordered and unbilled services were primarily captured via EHR data and completed referrals were more often documented in claims data.
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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.