ArticleJournal of the American Medical Informatics Association : JAMIA2020
Characterizing outpatient problem list completeness and duplications in the electronic health record.
Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 42 citations in OpenAlex.
- Current state of electronic problems lists in primary care: a rapid scoping review.Family practice · 2026Article
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- A framework for understanding selection bias in real-world healthcare data.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2024Article
- Impact of electronic medical record utilization on obesity screening and intervention for obese patients with endometrial cancer.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024Article
- A Standard Framework for Evaluating Large Health Care Data and Related Resources.MMWR supplements · 2024Article
- Development and validation of a self-updating gout register from electronic health records data.RMD open · 2024Article
- Exploring the impact of missingness on racial disparities in predictive performance of a machine learning model for emergency department triage.JAMIA open · 2023Article
- Preoperative history and physical update visits offer limited clinical value in colorectal surgery.American journal of surgery · 2023Article
- Development and Validation of an Emergency Department Electronic Medical Record Gout Flare Alert.Arthritis care & research · 2023Article
- Structural Racism in Behavioral Health Presentation and Management.Hospital pediatrics · 2023Article
- Observational analysis of documentation burden and data duplication in trauma patient pathways at a major trauma centre.BMJ open quality · 2023Observational
- Post-Acute COVID-19 Respiratory Symptoms in Patients With Asthma: An Electronic Health Records-Based Study.The journal of allergy and clinical immunology. In practice · 2023Observational
- Inaccurate recording of routinely collected data items influences identification of COVID-19 patients.International journal of medical informatics · 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
- Indication alerts to improve problem list documentation.Journal of the American Medical Informatics Association : JAMIA · 2022Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThe study sought to characterize rates of problem list completeness and duplications in common chronic diseases and to identify any relationships that they may have with respect to disease type, demographics, and disease severity. MATERIALS AND
methodsWe performed a retrospective analysis of electronic health record data from Partners HealthCare. We selected 8 common chronic diseases and identified patients with each of those diseases. We then analyzed each patient's problem list for completeness and duplications and also collected information regarding demographics and disease severity. Rates of completeness and duplications were calculated for each disease and compared according to disease type, demographics, and disease severity.
resultsA total of 327 695 unique patients and 383 404 problem list entries were identified. Problem list completeness varied from 72.9% in hypertension to 93.5% in asthma, whereas problem list duplications varied from 4.8% in hypertension to 28.2% in diabetes. There was a variable relationship between demographic factors and rates of completeness and duplication. Rates of completeness were positively correlated with disease severity for most diseases. Rates of duplication were consistently positively correlated with disease severity.
conclusionsIncompleteness and duplications are both important issues in problem lists. These issues vary widely across different diseases and can also be impacted by patient demographics and disease severity. Further studies are needed to investigate the effect of individual user behaviors and organizational policies on problem list utilization, which will aid the development of interventions that improve the utility of problem lists.
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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.