ArticleJournal of the American Medical Informatics Association : JAMIA2016
Using the electronic health record for assessment of health insurance in community health centers.
Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 12 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.
Innovative Methods for Parents And Clinics to Create Tools (IMPACCT) for Kids' Care
Community-Based HIT Tools for Cancer Screening and Health Insurance Promotion (CATCH-UP)
Who cites it
12 citing papers in PubMed.
- Unwinding of Continuous Medicaid Coverage Among Pediatric Community Health Center Patients.JAMA network open · 2025Article
- The Cost of Primary Care: An Experience Analysis in an Urban Setting.Acta medica Philippina · 2024Article
- The role of insurance status in the association between short-term temperature exposure and myocardial infarction hospitalizations in New York State.Environmental epidemiology (Philadelphia, Pa.) · 2023Article
- Data Challenges for Externally Controlled Trials: Viewpoint.Journal of medical Internet research · 2023Article
- Effect of Race and Ethnicity on In-Hospital Mortality in Patients with COVID-19.Ethnicity & disease · 2021Article
- Using Electronic Health Records in Longitudinal Studies: Estimating Patient Attrition.Medical care · 2020Article
- Following Uninsured Patients Through Medicaid Expansion: Ambulatory Care Use and Diagnosed Conditions.Annals of family medicine · 2019Article
- Medicaid coverage accuracy in electronic health records.Preventive medicine reports · 2018Article
- Measures of SES for Electronic Health Record-based Research.American journal of preventive medicine · 2018Article
- Introductory Overview of the Natural Experiments for Translation in Diabetes 2.0 (NEXT-D2) Network: Examining the Impact of US Health Policies and Practices to Prevent Diabetes and Its Complications.Current diabetes reports · 2018Review
- Medicaid's Impact on Chronic Disease Biomarkers: A Cohort Study of Community Health Center Patients.Journal of general internal medicine · 2017Article
- A new role for primary care teams in the United States after "Obamacare:" Track and improve health insurance coverage rates.Family medicine and community health · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveTo demonstrate use of the electronic health record (EHR) for health insurance surveillance and identify factors associated with lack of coverage. MATERIALS AND
methodsUsing EHR data, we conducted a retrospective, longitudinal cohort study of adult patients (n = 279 654) within a national network of community health centers during a 2-year period (2012-2013).
resultsFactors associated with higher odds of being uninsured (vs Medicaid-insured) included: male gender, age >25 years, Hispanic ethnicity, income above the federal poverty level, and rural residence (P < .01 for all). Among patients with no insurance at their initial visit (n = 114 000), 50% remained uninsured for every subsequent visit. DISCUSSION: During the 2 years prior to 2014, many patients utilizing community health centers were unable to maintain stable health insurance coverage.
conclusionAs patients gain access to health insurance under the Affordable Care Act, the EHR provides a novel approach to help track coverage and support vulnerable patients in gaining and maintaining coverage.
Indexed as
Identifiers
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.