Impact of referral letters on scheduling of hospital appointments: a randomised control trial |
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Authors: | Moyez Jiwa Xingqiong Meng Carolyn O’Shea Parker Magin Ann Dadich Vinita Pillai |
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Affiliation: | Department of Medical Education;School of Public Health, Faculty of Health Science;Curtin Health Innovation Research Institute, Curtin University, Perth, Australia.;Discipline of General Practice, University of Newcastle, Australia.;School of Business, University of Western Sydney, Parramatta, NSW, Australia.;Department of Medical Education |
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Abstract: | BackgroundCommunication is essential for triage, but intervention trials to improve it are scarce. Referral Writer (RW), a referral letter software program, enables documentation of clinical data and extracts relevant patient details from clinical software.AimTo evaluate whether specialists are more confident about scheduling appointments when they receive more information in referral letters.Design and settingSingle-blind, parallel-groups, controlled design with a 1:1 randomisation. Australian GPs watched video vignettes virtually.MethodGPs wrote referral letters after watching vignettes of patients with cancer symptoms. Letter content was scored against a benchmark. The proportions of referral letters triagable by a specialist with confidence, and in which the specialist was confident the patient had potentially life-limiting pathology were determined. Categorical outcomes were tested with χ2 and continuous outcomes with t-tests. A random-effects logistic model assessed the influence of group randomisation (RW versus control), GP demographics, clinical specialty, and specialist referral assessor on specialist confidence in the information provided.ResultsThe intervention (RW) group referred more patients and scored significantly higher on information relayed (mean difference 21.6 [95% confidence intervals {CI} = 20.1 to 23.2]). There was no difference in the proportion of letters for which specialists were confident they had sufficient information for appointment scheduling (RW 77.7% versus control 80.6%, P = 0.16). In the logistic model, limited agreement among specialists contributed substantially to the observed differences in appointment scheduling (P = 35% [95% CI 16% to 59%]).ConclusionIn isolation, referral letter templates are unlikely to improve the scheduling of specialist appointments, even when more information is relayed. |
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Keywords: | decision making general practice interdisciplinary correspondence neoplasms randomised control trial referral and consultation |
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