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Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital

BACKGROUND AND AIMS: Patient satisfaction from a pre-anaesthetic clinic (PAC) visit is greatly influenced by time spent there. We aimed to determine time spent in a PAC without an appointment system and the factors affecting the same. METHODS: Four hundred and eight patients coming to PAC were track...

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Autores principales: James, Justin P, Thampi, Suma Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787885/
https://www.ncbi.nlm.nih.gov/pubmed/29416146
http://dx.doi.org/10.4103/ija.IJA_368_17
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author James, Justin P
Thampi, Suma Mary
author_facet James, Justin P
Thampi, Suma Mary
author_sort James, Justin P
collection PubMed
description BACKGROUND AND AIMS: Patient satisfaction from a pre-anaesthetic clinic (PAC) visit is greatly influenced by time spent there. We aimed to determine time spent in a PAC without an appointment system and the factors affecting the same. METHODS: Four hundred and eight patients coming to PAC were tracked using a time-motion study model. Time spent in waiting and consultation was recorded. Independent variables potentially affecting time spent were documented. Patients were grouped based on independent variables, and the groups were compared for significant differences using appropriate statistical tests. Workload pending on physicians was calculated on an hourly basis by counting number of patients waiting and number of physicians in PAC. RESULTS: Non-parametric statistical tests were used for analysis because the data were not normally distributed. The median and inter-quartile range for waiting time, consultation time and total time were 60 (30–90) minutes, 17 (12–26) minutes and 79 (53–111) minutes, respectively. There was considerable variation in all three. Waiting time was significantly lower in patients posted for same-day surgery or those arriving on a stretcher or wheelchair. Consultation time was correlated with American Society of Anesthesiologists physical status and grade of surgery. Most patients arrived in the morning rather than at equal intervals. Waiting time and workload were therefore maximum in the midmorning and dropped rapidly in the afternoon. CONCLUSION: Large variability in waiting time is linked to lack of an appointment system, and to patients being seen out of turn.
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spelling pubmed-57878852018-02-07 Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital James, Justin P Thampi, Suma Mary Indian J Anaesth Original Article BACKGROUND AND AIMS: Patient satisfaction from a pre-anaesthetic clinic (PAC) visit is greatly influenced by time spent there. We aimed to determine time spent in a PAC without an appointment system and the factors affecting the same. METHODS: Four hundred and eight patients coming to PAC were tracked using a time-motion study model. Time spent in waiting and consultation was recorded. Independent variables potentially affecting time spent were documented. Patients were grouped based on independent variables, and the groups were compared for significant differences using appropriate statistical tests. Workload pending on physicians was calculated on an hourly basis by counting number of patients waiting and number of physicians in PAC. RESULTS: Non-parametric statistical tests were used for analysis because the data were not normally distributed. The median and inter-quartile range for waiting time, consultation time and total time were 60 (30–90) minutes, 17 (12–26) minutes and 79 (53–111) minutes, respectively. There was considerable variation in all three. Waiting time was significantly lower in patients posted for same-day surgery or those arriving on a stretcher or wheelchair. Consultation time was correlated with American Society of Anesthesiologists physical status and grade of surgery. Most patients arrived in the morning rather than at equal intervals. Waiting time and workload were therefore maximum in the midmorning and dropped rapidly in the afternoon. CONCLUSION: Large variability in waiting time is linked to lack of an appointment system, and to patients being seen out of turn. Medknow Publications & Media Pvt Ltd 2018-01 /pmc/articles/PMC5787885/ /pubmed/29416146 http://dx.doi.org/10.4103/ija.IJA_368_17 Text en Copyright: © 2018 Indian Journal of Anaesthesia http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
James, Justin P
Thampi, Suma Mary
Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital
title Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital
title_full Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital
title_fullStr Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital
title_full_unstemmed Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital
title_short Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital
title_sort time spent by patients in a pre-anaesthetic clinic and the factors affecting it: an audit from a tertiary care teaching hospital
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787885/
https://www.ncbi.nlm.nih.gov/pubmed/29416146
http://dx.doi.org/10.4103/ija.IJA_368_17
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