Impact of referral letters on scheduling of hospital appointments: a randomised control trial

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...

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Main Authors: Jiwa, Moyez, Meng, Xingqiong (Rosie), O'Shea, C., Magin, P., Dadich, A., Pillai, V.
Format: Journal Article
Published: Royal College of General Practitioners 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/26065
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author Jiwa, Moyez
Meng, Xingqiong (Rosie)
O'Shea, C.
Magin, P.
Dadich, A.
Pillai, V.
author_facet Jiwa, Moyez
Meng, Xingqiong (Rosie)
O'Shea, C.
Magin, P.
Dadich, A.
Pillai, V.
author_sort Jiwa, Moyez
building Curtin Institutional Repository
collection Online Access
description 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.
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spelling curtin-20.500.11937-260652017-09-13T15:23:29Z Impact of referral letters on scheduling of hospital appointments: a randomised control trial Jiwa, Moyez Meng, Xingqiong (Rosie) O'Shea, C. Magin, P. Dadich, A. Pillai, V. interdisciplinary correspondence neoplasms randomised control trial general practice decision making referral and consultation 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. 2014 Journal Article http://hdl.handle.net/20.500.11937/26065 10.3399/bjgp14X680509 Royal College of General Practitioners unknown
spellingShingle interdisciplinary correspondence
neoplasms
randomised control trial
general practice
decision making
referral and consultation
Jiwa, Moyez
Meng, Xingqiong (Rosie)
O'Shea, C.
Magin, P.
Dadich, A.
Pillai, V.
Impact of referral letters on scheduling of hospital appointments: a randomised control trial
title Impact of referral letters on scheduling of hospital appointments: a randomised control trial
title_full Impact of referral letters on scheduling of hospital appointments: a randomised control trial
title_fullStr Impact of referral letters on scheduling of hospital appointments: a randomised control trial
title_full_unstemmed Impact of referral letters on scheduling of hospital appointments: a randomised control trial
title_short Impact of referral letters on scheduling of hospital appointments: a randomised control trial
title_sort impact of referral letters on scheduling of hospital appointments: a randomised control trial
topic interdisciplinary correspondence
neoplasms
randomised control trial
general practice
decision making
referral and consultation
url http://hdl.handle.net/20.500.11937/26065