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Prevalence, predictors and economic consequences of no-shows

BACKGROUND: Patients not attending to clinic appointments (no-show) significantly affects delivery, cost of care and resource planning. We aimed to evaluate the prevalence, predictors and economic consequences of patient no-shows. METHOD: This is a retrospective cohort study using administrative dat...

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Autores principales: Kheirkhah, Parviz, Feng, Qianmei, Travis, Lauren M., Tavakoli-Tabasi, Shahriar, Sharafkhaneh, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4714455/
https://www.ncbi.nlm.nih.gov/pubmed/26769153
http://dx.doi.org/10.1186/s12913-015-1243-z
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author Kheirkhah, Parviz
Feng, Qianmei
Travis, Lauren M.
Tavakoli-Tabasi, Shahriar
Sharafkhaneh, Amir
author_facet Kheirkhah, Parviz
Feng, Qianmei
Travis, Lauren M.
Tavakoli-Tabasi, Shahriar
Sharafkhaneh, Amir
author_sort Kheirkhah, Parviz
collection PubMed
description BACKGROUND: Patients not attending to clinic appointments (no-show) significantly affects delivery, cost of care and resource planning. We aimed to evaluate the prevalence, predictors and economic consequences of patient no-shows. METHOD: This is a retrospective cohort study using administrative databases for fiscal years 1997–2008. We searched administrative databases for no-show frequency and cost at a large medical center. In addition, we estimated no-show rates and costs in another 10 regional hospitals. We studied no-show rates in primary care and various subspecialty settings over a 12-year period, the monthly and seasonal trends of no-shows, the effects of implementing a reminder system and the economic effects of missed appointments. RESULTS: The mean no-show rate was 18.8 % (2.4 %) in 10 main clinics with highest occurring in subspecialist clinics. No-show rate in the women clinic was higher and the no-show rate in geriatric clinic was lower compared to general primary care clinic (PCP). The no-show rate remained at a high level despite its reduction by a centralized phone reminder (from 16.3 % down to 15.8 %). The average cost of no-show per patient was $196 in 2008. CONCLUSIONS: Our data indicates that no-show imposed a major burden on this health care system. Further, implementation of a reminder system only modestly reduced the no-show rate.
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spelling pubmed-47144552016-01-16 Prevalence, predictors and economic consequences of no-shows Kheirkhah, Parviz Feng, Qianmei Travis, Lauren M. Tavakoli-Tabasi, Shahriar Sharafkhaneh, Amir BMC Health Serv Res Research Article BACKGROUND: Patients not attending to clinic appointments (no-show) significantly affects delivery, cost of care and resource planning. We aimed to evaluate the prevalence, predictors and economic consequences of patient no-shows. METHOD: This is a retrospective cohort study using administrative databases for fiscal years 1997–2008. We searched administrative databases for no-show frequency and cost at a large medical center. In addition, we estimated no-show rates and costs in another 10 regional hospitals. We studied no-show rates in primary care and various subspecialty settings over a 12-year period, the monthly and seasonal trends of no-shows, the effects of implementing a reminder system and the economic effects of missed appointments. RESULTS: The mean no-show rate was 18.8 % (2.4 %) in 10 main clinics with highest occurring in subspecialist clinics. No-show rate in the women clinic was higher and the no-show rate in geriatric clinic was lower compared to general primary care clinic (PCP). The no-show rate remained at a high level despite its reduction by a centralized phone reminder (from 16.3 % down to 15.8 %). The average cost of no-show per patient was $196 in 2008. CONCLUSIONS: Our data indicates that no-show imposed a major burden on this health care system. Further, implementation of a reminder system only modestly reduced the no-show rate. BioMed Central 2016-01-14 /pmc/articles/PMC4714455/ /pubmed/26769153 http://dx.doi.org/10.1186/s12913-015-1243-z Text en © Kheirkhah et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kheirkhah, Parviz
Feng, Qianmei
Travis, Lauren M.
Tavakoli-Tabasi, Shahriar
Sharafkhaneh, Amir
Prevalence, predictors and economic consequences of no-shows
title Prevalence, predictors and economic consequences of no-shows
title_full Prevalence, predictors and economic consequences of no-shows
title_fullStr Prevalence, predictors and economic consequences of no-shows
title_full_unstemmed Prevalence, predictors and economic consequences of no-shows
title_short Prevalence, predictors and economic consequences of no-shows
title_sort prevalence, predictors and economic consequences of no-shows
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4714455/
https://www.ncbi.nlm.nih.gov/pubmed/26769153
http://dx.doi.org/10.1186/s12913-015-1243-z
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