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Burnout in UK care home staff and its effect on staff turnover: MARQUE English national care home longitudinal survey

BACKGROUND: staff burnout and turnover lead to care home residents receiving poorer quality care. Burnout is thought to cause turnover, but this has never been investigated. We know little about which care home staffs are burnt out. AIMS: to explore burnout’s relationship with staff turnover and pre...

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Autores principales: Costello, Harry, Cooper, Claudia, Marston, Louise, Livingston, Gill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6939288/
https://www.ncbi.nlm.nih.gov/pubmed/31665204
http://dx.doi.org/10.1093/ageing/afz118
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author Costello, Harry
Cooper, Claudia
Marston, Louise
Livingston, Gill
author_facet Costello, Harry
Cooper, Claudia
Marston, Louise
Livingston, Gill
author_sort Costello, Harry
collection PubMed
description BACKGROUND: staff burnout and turnover lead to care home residents receiving poorer quality care. Burnout is thought to cause turnover, but this has never been investigated. We know little about which care home staffs are burnt out. AIMS: to explore burnout’s relationship with staff turnover and prevalence and predictors of burnout. METHOD: we calculated the relationship between Maslach Burnout Inventory scores and future staff turnover (12-month number of staff leaving/number employed). We explored staff, resident and care home predictors of burnout, measured as emotional exhaustion (EE), depersonalisation (DP) and personal accomplishment (PA). RESULTS: two-thousand sixty-two care staff in 97 care home units participated. Median yearly staff turnover was 22.7%, interquartile range (IQR) 14.0–37.7%. Care staff recorded low median burnout (median EE: 14, IQR: 7–22; DP: 1, IQR: 0–5; PA 42, IQR: 36–45). We found no association between staff burnout and turnover rate. Younger staff age was associated with higher burnout (EE coefficient − 0.09; 95% confidence interval (CI): −0.13, −0.05; DP −0.02; 95% CI: −0.04, −0.01; PA 0.05; 95% CI: 0.02, 0.08). Speaking English as a second language predicted higher EE (1.59; 95% CI: 0.32, 2.85), males had higher DP (0.02; 95% CI: 0.01, 0.04) and staff working only night shifts lower PA (−2.08; 95% CI: −4.05, −1.30). CONCLUSIONS: we found no association between care homes staff burnout level and staff turnover rates. It is a myth that burnout levels are high. Interventions for burnout could focus on at-risk groups. Future studies could consider turnover at an individual level.
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spelling pubmed-69392882020-01-07 Burnout in UK care home staff and its effect on staff turnover: MARQUE English national care home longitudinal survey Costello, Harry Cooper, Claudia Marston, Louise Livingston, Gill Age Ageing Research Paper BACKGROUND: staff burnout and turnover lead to care home residents receiving poorer quality care. Burnout is thought to cause turnover, but this has never been investigated. We know little about which care home staffs are burnt out. AIMS: to explore burnout’s relationship with staff turnover and prevalence and predictors of burnout. METHOD: we calculated the relationship between Maslach Burnout Inventory scores and future staff turnover (12-month number of staff leaving/number employed). We explored staff, resident and care home predictors of burnout, measured as emotional exhaustion (EE), depersonalisation (DP) and personal accomplishment (PA). RESULTS: two-thousand sixty-two care staff in 97 care home units participated. Median yearly staff turnover was 22.7%, interquartile range (IQR) 14.0–37.7%. Care staff recorded low median burnout (median EE: 14, IQR: 7–22; DP: 1, IQR: 0–5; PA 42, IQR: 36–45). We found no association between staff burnout and turnover rate. Younger staff age was associated with higher burnout (EE coefficient − 0.09; 95% confidence interval (CI): −0.13, −0.05; DP −0.02; 95% CI: −0.04, −0.01; PA 0.05; 95% CI: 0.02, 0.08). Speaking English as a second language predicted higher EE (1.59; 95% CI: 0.32, 2.85), males had higher DP (0.02; 95% CI: 0.01, 0.04) and staff working only night shifts lower PA (−2.08; 95% CI: −4.05, −1.30). CONCLUSIONS: we found no association between care homes staff burnout level and staff turnover rates. It is a myth that burnout levels are high. Interventions for burnout could focus on at-risk groups. Future studies could consider turnover at an individual level. Oxford University Press 2020-01 2019-10-28 /pmc/articles/PMC6939288/ /pubmed/31665204 http://dx.doi.org/10.1093/ageing/afz118 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the British Geriatrics Society. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Costello, Harry
Cooper, Claudia
Marston, Louise
Livingston, Gill
Burnout in UK care home staff and its effect on staff turnover: MARQUE English national care home longitudinal survey
title Burnout in UK care home staff and its effect on staff turnover: MARQUE English national care home longitudinal survey
title_full Burnout in UK care home staff and its effect on staff turnover: MARQUE English national care home longitudinal survey
title_fullStr Burnout in UK care home staff and its effect on staff turnover: MARQUE English national care home longitudinal survey
title_full_unstemmed Burnout in UK care home staff and its effect on staff turnover: MARQUE English national care home longitudinal survey
title_short Burnout in UK care home staff and its effect on staff turnover: MARQUE English national care home longitudinal survey
title_sort burnout in uk care home staff and its effect on staff turnover: marque english national care home longitudinal survey
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6939288/
https://www.ncbi.nlm.nih.gov/pubmed/31665204
http://dx.doi.org/10.1093/ageing/afz118
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