ArticleApplied clinical informatics2020
Factors Influencing Problem List Use in Electronic Health Records-Application of the Unified Theory of Acceptance and Use of Technology.
Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Current state of electronic problems lists in primary care: a rapid scoping review.Family practice · 2026Article
- Exploring Acceptance of a Clinical Workflow Tool in the Swedish Prosthetics and Orthotics Sector: Qualitative Study.JMIR formative research · 2026Article
- Dashboards to Improve Extractability of Cardiovascular Indicators in a Learning Health Care System: Mixed Methods Study.Journal of medical Internet research · 2025Article
- How does the mapped ICD data in an EHR system compare to the hospital DAD data in Alberta, Canada?BMC health services research · 2025Article
- Identifying a cohort of hospitalized chronic kidney disease patients using electronic health records: lessons learnt and implications for future research and clinical practice guidelines.Clinical kidney journal · 2025Article
- Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study.JMIR medical informatics · 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
- Evaluation of SNOMED CT Grouper Accuracy and Coverage in Organizing the Electronic Health Record Problem List by Clinical System: Observational Study.JMIR medical informatics · 2024Article
- Use of the patient portal among older adults with diagnosed dementia and their care partners.Alzheimer's & dementia : the journal of the Alzheimer's Association · 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
- Reporting Outcomes of Pediatric Intensive Care Unit Patients to Referring Physicians via an Electronic Health Record-Based Feedback System.Applied clinical informatics · 2022Article
- Demand for Mobile Health in Developing Countries During COVID-19: Vietnamese's Perspectives from Different Age Groups and Health Conditions.Patient preference and adherence · 2022Article
- Article
- Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental Study.JMIR medical informatics · 2021Article
- Human Factors and Organizational Issues in Health Informatics: Innovations and Opportunities.Yearbook of medical informatics · 2021Review
- Contextual property detection in Dutch diagnosis descriptions for uncertainty, laterality and temporality.BMC medical informatics and decision making · 2021Article
- Development and Evaluation of a Computable Phenotype for Normal Tension Glaucoma.Ophthalmology scienceArticle
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProblem-oriented electronic health record (EHR) systems can help physicians to track a patient's status and progress, and organize clinical documentation, which could help improving quality of clinical data and enable data reuse. The problem list is central in a problem-oriented medical record. However, current problem lists remain incomplete because of the lack of end-user training and inaccurate content of underlying terminologies. This leads to modifications of diagnosis code descriptions and use of free-text notes, limiting reuse of data.
objectivesWe aimed to investigate factors that influence acceptance and actual use of the problem list, and used these to propose recommendations, to increase the value of problem lists for (re)use.
methodsSemistructured interviews were conducted with physicians, heads of medical departments, and data quality experts, who were invited through snowball sampling. The interviews were transcribed and coded. Comments were fitted in constructs of the validated framework unified theory of acceptance user technology (UTAUT), and were discussed in terms of facilitators and barriers.
resultsIn total, 24 interviews were conducted. We found large variability in attitudes toward problem list use. Barriers included uncertainty about the responsibility for maintaining the problem list and little perceived benefits. Facilitators included the (re)design of policies, improved (peer-to-peer) training to increase motivation, and positive peer feedback and monitoring. Motivation is best increased through sharing benefits relevant in the care process, such as providing overview, timely generation of discharge or referral letters, and reuse of data. Furthermore, content of the underlying terminology should be improved and the problem list should be better presented in the EHR system.
conclusionTo let physicians accept and use the problem list, policies and guidelines should be redesigned, and prioritized by supervising staff. Additionally, peer-to-peer training on the benefits of using the problem list is needed.
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