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Using digital notifications to improve attendance in clinic: systematic review and meta-analysis

OBJECTIVES: Assess the impact of text-based electronic notifications on improving clinic attendance, in relation to study quality (according to risk of bias), and to assess simple ways in which notifications can be optimised (ie, impact of multiple notifications). DESIGN: Systematic review, study qu...

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Detalles Bibliográficos
Autores principales: Robotham, Dan, Satkunanathan, Safarina, Reynolds, John, Stahl, Daniel, Wykes, Til
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093388/
https://www.ncbi.nlm.nih.gov/pubmed/27798006
http://dx.doi.org/10.1136/bmjopen-2016-012116
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author Robotham, Dan
Satkunanathan, Safarina
Reynolds, John
Stahl, Daniel
Wykes, Til
author_facet Robotham, Dan
Satkunanathan, Safarina
Reynolds, John
Stahl, Daniel
Wykes, Til
author_sort Robotham, Dan
collection PubMed
description OBJECTIVES: Assess the impact of text-based electronic notifications on improving clinic attendance, in relation to study quality (according to risk of bias), and to assess simple ways in which notifications can be optimised (ie, impact of multiple notifications). DESIGN: Systematic review, study quality appraisal assessing risk of bias, data synthesised in meta-analyses. DATA SOURCES: MEDLINE, EMBASE, PsycINFO, Web of Science and Cochrane Database of Systematic Reviews (01.01.05 until 25.4.15). A systematic search to discover all studies containing quantitative data for synthesis into meta-analyses. ELIGIBILITY CRITERIA: Studies examining the effect of text-based electronic notifications on prescheduled appointment attendance in healthcare settings. Primary analysis included experimental studies where randomisation was used to define allocation to intervention and where a control group consisting of ‘no reminders’ was used. Secondary meta-analysis included studies comparing text reminders with voice reminders. Studies lacking sufficient information for inclusion (after attempting to contact study authors) were excluded. OUTCOME MEASURES: Primary outcomes were rate of attendance/non-attendance at healthcare appointments. Secondary outcome was rate of rescheduled and cancelled appointments. RESULTS: 26 articles were included. 21 included in the primary meta-analysis (8345 patients receiving electronic text notifications, 7731 patients receiving no notifications). Studies were included from Europe (9), Asia (7), Africa (2), Australia (2) and America (1). Patients who received notifications were 23% more likely to attend clinic than those who received no notification (risk ratio=1.23, 67% vs 54%). Those receiving notifications were 25% less likely to ‘no show’ for appointments (risk ratio=.75, 15% vs 21%). Results were similar when accounting for risk of bias, region and publication year. Multiple notifications were significantly more effective at improving attendance than single notifications. Voice notifications appeared more effective than text notifications at improving attendance. CONCLUSIONS: Electronic text notifications improve attendance and reduce no shows across healthcare settings. Sending multiple notifications could improve attendance further.
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spelling pubmed-50933882016-11-14 Using digital notifications to improve attendance in clinic: systematic review and meta-analysis Robotham, Dan Satkunanathan, Safarina Reynolds, John Stahl, Daniel Wykes, Til BMJ Open Health Services Research OBJECTIVES: Assess the impact of text-based electronic notifications on improving clinic attendance, in relation to study quality (according to risk of bias), and to assess simple ways in which notifications can be optimised (ie, impact of multiple notifications). DESIGN: Systematic review, study quality appraisal assessing risk of bias, data synthesised in meta-analyses. DATA SOURCES: MEDLINE, EMBASE, PsycINFO, Web of Science and Cochrane Database of Systematic Reviews (01.01.05 until 25.4.15). A systematic search to discover all studies containing quantitative data for synthesis into meta-analyses. ELIGIBILITY CRITERIA: Studies examining the effect of text-based electronic notifications on prescheduled appointment attendance in healthcare settings. Primary analysis included experimental studies where randomisation was used to define allocation to intervention and where a control group consisting of ‘no reminders’ was used. Secondary meta-analysis included studies comparing text reminders with voice reminders. Studies lacking sufficient information for inclusion (after attempting to contact study authors) were excluded. OUTCOME MEASURES: Primary outcomes were rate of attendance/non-attendance at healthcare appointments. Secondary outcome was rate of rescheduled and cancelled appointments. RESULTS: 26 articles were included. 21 included in the primary meta-analysis (8345 patients receiving electronic text notifications, 7731 patients receiving no notifications). Studies were included from Europe (9), Asia (7), Africa (2), Australia (2) and America (1). Patients who received notifications were 23% more likely to attend clinic than those who received no notification (risk ratio=1.23, 67% vs 54%). Those receiving notifications were 25% less likely to ‘no show’ for appointments (risk ratio=.75, 15% vs 21%). Results were similar when accounting for risk of bias, region and publication year. Multiple notifications were significantly more effective at improving attendance than single notifications. Voice notifications appeared more effective than text notifications at improving attendance. CONCLUSIONS: Electronic text notifications improve attendance and reduce no shows across healthcare settings. Sending multiple notifications could improve attendance further. BMJ Publishing Group 2016-10-24 /pmc/articles/PMC5093388/ /pubmed/27798006 http://dx.doi.org/10.1136/bmjopen-2016-012116 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Health Services Research
Robotham, Dan
Satkunanathan, Safarina
Reynolds, John
Stahl, Daniel
Wykes, Til
Using digital notifications to improve attendance in clinic: systematic review and meta-analysis
title Using digital notifications to improve attendance in clinic: systematic review and meta-analysis
title_full Using digital notifications to improve attendance in clinic: systematic review and meta-analysis
title_fullStr Using digital notifications to improve attendance in clinic: systematic review and meta-analysis
title_full_unstemmed Using digital notifications to improve attendance in clinic: systematic review and meta-analysis
title_short Using digital notifications to improve attendance in clinic: systematic review and meta-analysis
title_sort using digital notifications to improve attendance in clinic: systematic review and meta-analysis
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093388/
https://www.ncbi.nlm.nih.gov/pubmed/27798006
http://dx.doi.org/10.1136/bmjopen-2016-012116
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