Trial reportJournal of general internal medicine2011
Follow-up actions on electronic referral communication in a multispecialty outpatient setting.
Trial report in Journal of general internal medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed.
- Determining the minimum data set of geriatric assessment at the Iran primary health care referral system: shifting from fragmentation to integration care for older people.BMC health services research · 2024Article
- Observational
- Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.BMJ quality & safety · 2021Article
- Using Electronic Referrals to Address Health Disparities and Improve Blood Pressure Control.Preventing chronic disease · 2019Article
- A Cancer Patient Journey: Complete Review During Acute Treatment Phase.Health equity · 2019Article
- Evaluating diverse electronic consultation programs with a common framework.BMC health services research · 2018Article
- Does VA Health Care Still Measure Up?Journal of general internal medicine · 2018Article
- Impact of a genetic counseling requirement prior to genetic testing.BMC health services research · 2018Article
- Identifying quality improvement targets to facilitate colorectal cancer screening completion.Preventive medicine reports · 2018Article
- Protocol-Driven Decision Support within e-Referral Systems to Streamline Patient Consultation, Triaging and Referrals from Primary Care to Specialist Clinics.Journal of medical systems · 2017Article
- Systematic Heuristic Evaluation of Computerized Consultation Order Templates: Clinicians' and Human Factors Engineers' Perspectives.Journal of medical systems · 2017Article
- A cohort study of a general surgery electronic consultation system: safety implications and impact on surgical yield.BMC health services research · 2017Article
- The global burden of diagnostic errors in primary care.BMJ quality & safety · 2017Review
- Article
- Implementation Science Workshop: Implementation of an Electronic Referral System in a Large Academic Medical Center.Journal of general internal medicine · 2016Article
- Disruptive Innovation: Implementation of Electronic Consultations in a Veterans Affairs Health Care System.JMIR medical informatics · 2016Article
- Optimizing the pre-referral workup for gastroenterology and hepatology specialty care: consensus using the Delphi method.Journal of evaluation in clinical practice · 2016Article
- Challenges in referral communication between VHA primary care and specialty care.Journal of general internal medicine · 2015Article
- Exploring the sociotechnical intersection of patient safety and electronic health record implementation.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- Resilient actions in the diagnostic process and system performance.BMJ quality & safety · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectivesElectronic health records (EHR) enable transmission and tracking of referrals between primary-care practitioners (PCPs) and subspecialists. We used an EHR to examine follow-up actions on electronic referral communication in a large multispecialty VA facility.
methodsWe retrieved outpatient referrals to five subspecialties between October 2006 and December 2007, and queried the EHR to determine their status: completed, discontinued (returned to PCP), or unresolved (no action taken by subspecialist). All unresolved referrals, and random samples of discontinued and completed referrals were reviewed to determine whether subspecialists took follow-up actions (i.e., schedule appointments anytime in the future) within 30 days of referral-receipt. For referrals without timely follow-up, we determined whether inaction was supported by any predetermined justifiable reasons or associated with certain referral characteristics. We also reviewed if PCPs took the required action on returned information.
resultsOf 61,931 referrals, 22,535 were discontinued (36.4%), and 474 were unresolved (0.8%). We selected 412 discontinued referrals randomly for review. Of these, 52% lacked follow-up actions within 30 days. Appropriate justifications for inaction were documented in 69.8% (150/215) of those without action and included lack of prerequisite testing by the PCP and subspecialist opinion that no intervention was required despite referral. We estimated that at 30 days, 6.3% of all referrals were associated with an unexplained lack of follow-up actions by subspecialists. Conversely, 7.4% of discontinued referrals returned to PCPs were associated with an unexplained lack of follow-up.
conclusionsAlthough the EHR facilitates transmission of valuable information at the PCP-subspecialist interface, unexplained communication breakdowns in the referral process persist in a subset of cases.
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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.