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Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study

OBJECTIVE: The positive deviance approach seeks to identify and learn from exceptional performers. Although a framework exists to apply positive deviance within healthcare organisations, there is limited guidance to support its implementation. The approach has also rarely explored exceptional perfor...

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Autores principales: Baxter, Ruth, Taylor, Natalie, Kellar, Ian, Pye, Victoria, Mohammed, Mohammed A, Lawton, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829907/
https://www.ncbi.nlm.nih.gov/pubmed/29453303
http://dx.doi.org/10.1136/bmjopen-2017-020219
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author Baxter, Ruth
Taylor, Natalie
Kellar, Ian
Pye, Victoria
Mohammed, Mohammed A
Lawton, Rebecca
author_facet Baxter, Ruth
Taylor, Natalie
Kellar, Ian
Pye, Victoria
Mohammed, Mohammed A
Lawton, Rebecca
author_sort Baxter, Ruth
collection PubMed
description OBJECTIVE: The positive deviance approach seeks to identify and learn from exceptional performers. Although a framework exists to apply positive deviance within healthcare organisations, there is limited guidance to support its implementation. The approach has also rarely explored exceptional performance on broad outcomes, been implemented at ward level, or applied within the UK. This study develops and critically appraises a pragmatic method for identifying positively deviant wards using a routinely collected, broad measure of patient safety. DESIGN: A two-phased observational study was conducted. During phase 1, cross-sectional and temporal analyses of Safety Thermometer data were conducted to identify a discrete group of positively deviant wards that consistently demonstrated exceptional levels of safety. A group of matched comparison wards with above average performances were also identified. During phase 2, multidisciplinary staff and patients on the positively deviant and comparison wards completed surveys to explore whether their perceptions of safety supported the identification of positively deviant wards. SETTING: 34 elderly medical wards within a northern region of England, UK. PARTICIPANTS: Multidisciplinary staff (n=161) and patients (n=188) clustered within nine positively deviant and comparison wards. RESULTS: Phase 1: A combination of analyses identified five positively deviant wards that performed best in the region, outperformed their organisation and performed consistently well over 12 months. Five above average matched comparator wards were also identified. Phase 2: Staff and patient perceptions of safety generally supported the identification of positively deviant wards using Safety Thermometer data, although patient perceptions of safety were less concordant with the routinely collected data. CONCLUSIONS: This study tentatively supports a pragmatic method of using routinely collected data to identify positively deviant elderly medical wards; however, it also highlights the various challenges that are faced when conducting the first stage of the positive deviance approach. TRIAL REGISTRATION NUMBER: UK Clinical Research Network Portfolio (reference-18050).
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spelling pubmed-58299072018-03-01 Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study Baxter, Ruth Taylor, Natalie Kellar, Ian Pye, Victoria Mohammed, Mohammed A Lawton, Rebecca BMJ Open Health Services Research OBJECTIVE: The positive deviance approach seeks to identify and learn from exceptional performers. Although a framework exists to apply positive deviance within healthcare organisations, there is limited guidance to support its implementation. The approach has also rarely explored exceptional performance on broad outcomes, been implemented at ward level, or applied within the UK. This study develops and critically appraises a pragmatic method for identifying positively deviant wards using a routinely collected, broad measure of patient safety. DESIGN: A two-phased observational study was conducted. During phase 1, cross-sectional and temporal analyses of Safety Thermometer data were conducted to identify a discrete group of positively deviant wards that consistently demonstrated exceptional levels of safety. A group of matched comparison wards with above average performances were also identified. During phase 2, multidisciplinary staff and patients on the positively deviant and comparison wards completed surveys to explore whether their perceptions of safety supported the identification of positively deviant wards. SETTING: 34 elderly medical wards within a northern region of England, UK. PARTICIPANTS: Multidisciplinary staff (n=161) and patients (n=188) clustered within nine positively deviant and comparison wards. RESULTS: Phase 1: A combination of analyses identified five positively deviant wards that performed best in the region, outperformed their organisation and performed consistently well over 12 months. Five above average matched comparator wards were also identified. Phase 2: Staff and patient perceptions of safety generally supported the identification of positively deviant wards using Safety Thermometer data, although patient perceptions of safety were less concordant with the routinely collected data. CONCLUSIONS: This study tentatively supports a pragmatic method of using routinely collected data to identify positively deviant elderly medical wards; however, it also highlights the various challenges that are faced when conducting the first stage of the positive deviance approach. TRIAL REGISTRATION NUMBER: UK Clinical Research Network Portfolio (reference-18050). BMJ Publishing Group 2018-02-16 /pmc/articles/PMC5829907/ /pubmed/29453303 http://dx.doi.org/10.1136/bmjopen-2017-020219 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Health Services Research
Baxter, Ruth
Taylor, Natalie
Kellar, Ian
Pye, Victoria
Mohammed, Mohammed A
Lawton, Rebecca
Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study
title Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study
title_full Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study
title_fullStr Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study
title_full_unstemmed Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study
title_short Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study
title_sort identifying positively deviant elderly medical wards using routinely collected nhs safety thermometer data: an observational study
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829907/
https://www.ncbi.nlm.nih.gov/pubmed/29453303
http://dx.doi.org/10.1136/bmjopen-2017-020219
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