Cargando…
Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool
OBJECTIVES: The vast majority of residents’ working time is spent away from patients. In hospital practice, many factors may influence the resident’s working day structure. Using an innovative method, we aimed to compare working time allocation among internal medicine residents using time-motion obs...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044966/ https://www.ncbi.nlm.nih.gov/pubmed/32066604 http://dx.doi.org/10.1136/bmjopen-2019-033021 |
_version_ | 1783501681025089536 |
---|---|
author | Frey, Simon Martin Méan, Marie Garnier, Antoine Castioni, Julien Wenger, Nathalie Egloff, Michael Marques-Vidal, Pedro Beer, Juerg-Hans |
author_facet | Frey, Simon Martin Méan, Marie Garnier, Antoine Castioni, Julien Wenger, Nathalie Egloff, Michael Marques-Vidal, Pedro Beer, Juerg-Hans |
author_sort | Frey, Simon Martin |
collection | PubMed |
description | OBJECTIVES: The vast majority of residents’ working time is spent away from patients. In hospital practice, many factors may influence the resident’s working day structure. Using an innovative method, we aimed to compare working time allocation among internal medicine residents using time-motion observations. The first study goal was to describe how the method could be used for inter-hospital comparison. The secondary goal was to learn about specific differences in the resident’s working day structure in university and non-university hospital settings. DESIGN: Two separate time-motion studies. Trained peer-observers followed the residents during weekday day shifts with a tablet, able to record 22 different activities and corresponding context (with patient, phone, colleague or computer). SETTING: Internal medicine residencies at a university (May–July 2015) and a non-university (September–October 2016) community hospital. PARTICIPANTS: 28 residents (mean age: 29 years, average postgraduate training: 30 months) at university hospital, 21 residents (mean age: 30 years, average postgraduate training: 17 months) at non-university hospital. OUTCOMES: Time spent with patients and time dedicated to activities directly related to patients; description of main differences of time allocation between hospitals. RESULTS: Cumulatively 1051 hours of observation (566 (university hospital)+486 (non-university hospital)) and 92 day shifts (49+43) were evaluated. Daily working time was 11.5 versus 11.3 hours. A median daily period of 195 min (IQR 179–211, 27.9%) and 116 min (IQR 98–134, 17.2%) (p<0.001) was dedicated to direct patient care, respectively. CONCLUSIONS: We successfully identified differences potentially related to each hospital structure and organisation. Inter-hospital comparisons could help set up interventions aiming to improve workday structure and experience of residents. |
format | Online Article Text |
id | pubmed-7044966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70449662020-03-09 Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool Frey, Simon Martin Méan, Marie Garnier, Antoine Castioni, Julien Wenger, Nathalie Egloff, Michael Marques-Vidal, Pedro Beer, Juerg-Hans BMJ Open Medical Education and Training OBJECTIVES: The vast majority of residents’ working time is spent away from patients. In hospital practice, many factors may influence the resident’s working day structure. Using an innovative method, we aimed to compare working time allocation among internal medicine residents using time-motion observations. The first study goal was to describe how the method could be used for inter-hospital comparison. The secondary goal was to learn about specific differences in the resident’s working day structure in university and non-university hospital settings. DESIGN: Two separate time-motion studies. Trained peer-observers followed the residents during weekday day shifts with a tablet, able to record 22 different activities and corresponding context (with patient, phone, colleague or computer). SETTING: Internal medicine residencies at a university (May–July 2015) and a non-university (September–October 2016) community hospital. PARTICIPANTS: 28 residents (mean age: 29 years, average postgraduate training: 30 months) at university hospital, 21 residents (mean age: 30 years, average postgraduate training: 17 months) at non-university hospital. OUTCOMES: Time spent with patients and time dedicated to activities directly related to patients; description of main differences of time allocation between hospitals. RESULTS: Cumulatively 1051 hours of observation (566 (university hospital)+486 (non-university hospital)) and 92 day shifts (49+43) were evaluated. Daily working time was 11.5 versus 11.3 hours. A median daily period of 195 min (IQR 179–211, 27.9%) and 116 min (IQR 98–134, 17.2%) (p<0.001) was dedicated to direct patient care, respectively. CONCLUSIONS: We successfully identified differences potentially related to each hospital structure and organisation. Inter-hospital comparisons could help set up interventions aiming to improve workday structure and experience of residents. BMJ Publishing Group 2020-02-16 /pmc/articles/PMC7044966/ /pubmed/32066604 http://dx.doi.org/10.1136/bmjopen-2019-033021 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Medical Education and Training Frey, Simon Martin Méan, Marie Garnier, Antoine Castioni, Julien Wenger, Nathalie Egloff, Michael Marques-Vidal, Pedro Beer, Juerg-Hans Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool |
title | Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool |
title_full | Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool |
title_fullStr | Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool |
title_full_unstemmed | Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool |
title_short | Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool |
title_sort | inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool |
topic | Medical Education and Training |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044966/ https://www.ncbi.nlm.nih.gov/pubmed/32066604 http://dx.doi.org/10.1136/bmjopen-2019-033021 |
work_keys_str_mv | AT freysimonmartin interhospitalcomparisonofworkingtimeallocationamonginternalmedicineresidentsusingtimemotionobservationsaninnovativebenchmarkingtool AT meanmarie interhospitalcomparisonofworkingtimeallocationamonginternalmedicineresidentsusingtimemotionobservationsaninnovativebenchmarkingtool AT garnierantoine interhospitalcomparisonofworkingtimeallocationamonginternalmedicineresidentsusingtimemotionobservationsaninnovativebenchmarkingtool AT castionijulien interhospitalcomparisonofworkingtimeallocationamonginternalmedicineresidentsusingtimemotionobservationsaninnovativebenchmarkingtool AT wengernathalie interhospitalcomparisonofworkingtimeallocationamonginternalmedicineresidentsusingtimemotionobservationsaninnovativebenchmarkingtool AT egloffmichael interhospitalcomparisonofworkingtimeallocationamonginternalmedicineresidentsusingtimemotionobservationsaninnovativebenchmarkingtool AT marquesvidalpedro interhospitalcomparisonofworkingtimeallocationamonginternalmedicineresidentsusingtimemotionobservationsaninnovativebenchmarkingtool AT beerjuerghans interhospitalcomparisonofworkingtimeallocationamonginternalmedicineresidentsusingtimemotionobservationsaninnovativebenchmarkingtool |