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dc.contributor.authorJiwa, Moyez
dc.contributor.authorMeng, Xingqiong (Rosie)
dc.contributor.authorO'Shea, C.
dc.contributor.authorMagin, P.
dc.contributor.authorDadich, A.
dc.contributor.authorPillai, V.
dc.date.accessioned2017-01-30T12:51:34Z
dc.date.available2017-01-30T12:51:34Z
dc.date.created2015-03-15T20:00:28Z
dc.date.issued2014
dc.identifier.citationJiwa, M. and Meng, X. and O'Shea, C. and Magin, P. and Dadich, A. and Pillai, V. 2014. Impact of referral letters on scheduling of hospital appointments: a randomised control trial. British Journal of General Practice. 64 (624): pp. e419-e425.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/26065
dc.identifier.doi10.3399/bjgp14X680509
dc.description.abstract

Background: Communication 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.Aim: To evaluate whether specialists are more confident about scheduling appointments when they receive more information in referral letters. Design and setting Single-blind, parallel-groups, controlled design with a 1:1 randomisation. Australian GPs watched video vignettes virtually. Method: GPs 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. Results: The 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%]). Conclusion: In isolation, referral letter templates are unlikely to improve the scheduling of specialist appointments, even when more information is relayed.

dc.publisherRoyal College of General Practitioners
dc.subjectinterdisciplinary correspondence
dc.subjectneoplasms
dc.subjectrandomised control trial
dc.subjectgeneral practice
dc.subjectdecision making
dc.subjectreferral and consultation
dc.titleImpact of referral letters on scheduling of hospital appointments: a randomised control trial
dc.typeJournal Article
dcterms.source.volume64
dcterms.source.number624
dcterms.source.startPagee419
dcterms.source.endPagee425
dcterms.source.issn0960-1643
dcterms.source.titleBritish Journal of General Practice
curtin.departmentDepartment of Medical Education
curtin.accessStatusOpen access via publisher


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