ArticleInternational journal of medical informatics2023
Consultants' and referrers' perceived barriers to closing the cross-institutional referral loop, and perceived impact on clinical care.
Article in International journal of medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Referral delays in metastatic breast cancer care: barriers and facilitators across a fragmented pathway.BMJ open quality · 2026Article
- Supporting Weight Management for Kidney Transplant Candidates in People With Obesity on Haemodialysis: The First National Survey of UK Kidney Healthcare Providers.Diabetes, obesity & metabolism · 2026Article
- Integrated Implementation Strategies to Promote the Use of AI-Assisted Diagnostic Software for Lung Nodule Screening in China: Process Evaluation Based on the RE-AIM Framework.JMIR formative research · 2026Article
- Hospital triage of general practice referrals: exploring the role of triage in rejected referrals.BMC health services research · 2026Article
- Barriers and Facilitators to Cross-Institutional Referrals: System Configuration Analysis of VA Staff Experiences.Journal of general internal medicine · 2025Article
- Consolidating International Care Models and Clinical Services for Adult Obesity.Current obesity reports · 2025Review
- Evaluating the Barriers and Facilitators to Implementing a Novel Referral System for Outpatient Geriatric Services: The Geri-Hub Quality Improvement Initiative.Health services insights · 2024Article
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Authors and funding
8 authors.
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Abstract
backgroundCross-institutional (external) referrals are prone to communication breakdowns, increasing patient safety risks, clinician burnout, and healthcare costs. To close these external referral loops, referring primary care physicians (PCPs) need to receive patient information from consultants at different healthcare institutions. Although existing studies investigated the early phases of external referral loops, we lack sufficient knowledge about the closing phases of these loops. This knowledge could allow health care institutions to improve care coordination and rates of closed referral loops by implementing socio-technical interventions for patient information exchange throughout a referral loop. Human factors engineering (HFE) provides a systematic approach to advance our understanding of barriers perceived by physicians. Using HFE, our objective was to characterize referring and consulting physicians' barriers to closing referral loops and implications for care.
methodsThis qualitative cross-sectional study included semi-structured interviews with referrers and external consultants. We used the Systems Engineering Initiative for Patient Safety 2.0 framework to conduct rapid qualitative analyses, determining perceived barriers and related implications. Main measures were consultants' and referrers' perceptions of, and experiences with, barriers to external referrals.
resultsSix referring PCPs and 12 consultants participated from two healthcare systems and four medical specialties. Physicians perceived three main barriers in external referrals: receipt of excessive and unnecessary faxed documents, missing or delayed documentation, and organizational policies regarding information privacy interfering with closing the loop. Compared to internal referrals, physicians reported increased staff burden, patient frustration, and delays in diagnosis with external referrals. Consultants reported the ability to provide the same level of care to patients with internal or external referrals. However, consultants described communication breakdowns that prohibited confirmation of follow-up plan retrieval, initiation, or effectiveness.
conclusionPhysicians reported technological and organizational barriers to closing cross-institutional referral loops. Promises of HIE technology for external referrals have not fully materialized. Among physicians and patients, retrieval and exchange of medical information increases perceived workload, burden, and frustration. These increases are not accurately captured by traditional organizational metrics. This study provides evidence that informs future human factors engineering research to address perceived barriers and guide future HIE design or implementation.
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