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Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis

OBJECTIVES: To systematically review the evidence base for a systems approach to healthcare design, delivery or improvement. DESIGN: Systematic review with meta-analyses. METHODS: Included were studies in any patients, in any healthcare setting where a systems approach was compared with usual care w...

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Autores principales: Komashie, Alexander, Ward, James, Bashford, Tom, Dickerson, Terry, Kaya, Gulsum Kubra, Liu, Yuanyuan, Kuhn, Isla, Günay, Aslι, Kohler, Katharina, Boddy, Nicholas, O'Kelly, Eugenia, Masters, Joseph, Dean, John, Meads, Catherine, Clarkson, P John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817809/
https://www.ncbi.nlm.nih.gov/pubmed/33468455
http://dx.doi.org/10.1136/bmjopen-2020-037667
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author Komashie, Alexander
Ward, James
Bashford, Tom
Dickerson, Terry
Kaya, Gulsum Kubra
Liu, Yuanyuan
Kuhn, Isla
Günay, Aslι
Kohler, Katharina
Boddy, Nicholas
O'Kelly, Eugenia
Masters, Joseph
Dean, John
Meads, Catherine
Clarkson, P John
author_facet Komashie, Alexander
Ward, James
Bashford, Tom
Dickerson, Terry
Kaya, Gulsum Kubra
Liu, Yuanyuan
Kuhn, Isla
Günay, Aslι
Kohler, Katharina
Boddy, Nicholas
O'Kelly, Eugenia
Masters, Joseph
Dean, John
Meads, Catherine
Clarkson, P John
author_sort Komashie, Alexander
collection PubMed
description OBJECTIVES: To systematically review the evidence base for a systems approach to healthcare design, delivery or improvement. DESIGN: Systematic review with meta-analyses. METHODS: Included were studies in any patients, in any healthcare setting where a systems approach was compared with usual care which reported quantitative results for any outcomes for both groups. We searched Medline, Embase, HMIC, Health Business Elite, Web of Science, Scopus, PsycINFO and CINAHL from inception to 28 May 2019 for relevant studies. These were screened, and data extracted independently and in duplicate. Study outcomes were stratified by study design and whether they reported patient and/or service outcomes. Meta-analysis was conducted with Revman software V.5.3 using ORs—heterogeneity was assessed using I(2) statistics. RESULTS: Of 11 405 records 35 studies were included, of which 28 (80%) were before-and-after design only, five were both before-and-after and concurrent design, and two were randomised controlled trials (RCTs). There was heterogeneity of interventions and wide variation in reported outcome types. Almost all results showed health improvement where systems approaches were used. Study quality varied widely. Exploratory meta-analysis of these suggested favourable effects on both patient outcomes (n=14, OR=0.52 (95% CI 0.38 to 0.71) I(2)=91%), and service outcomes (n=18, OR=0.40 (95% CI 0.31 to 0.52) I(2)=97%). CONCLUSIONS: This study suggests that a systems approaches to healthcare design and delivery results in a statistically significant improvement to both patient and service outcomes. However, better quality studies, particularly RCTs are needed. PROSPERO registration number CRD42017065920.
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spelling pubmed-78178092021-01-28 Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis Komashie, Alexander Ward, James Bashford, Tom Dickerson, Terry Kaya, Gulsum Kubra Liu, Yuanyuan Kuhn, Isla Günay, Aslι Kohler, Katharina Boddy, Nicholas O'Kelly, Eugenia Masters, Joseph Dean, John Meads, Catherine Clarkson, P John BMJ Open Health Services Research OBJECTIVES: To systematically review the evidence base for a systems approach to healthcare design, delivery or improvement. DESIGN: Systematic review with meta-analyses. METHODS: Included were studies in any patients, in any healthcare setting where a systems approach was compared with usual care which reported quantitative results for any outcomes for both groups. We searched Medline, Embase, HMIC, Health Business Elite, Web of Science, Scopus, PsycINFO and CINAHL from inception to 28 May 2019 for relevant studies. These were screened, and data extracted independently and in duplicate. Study outcomes were stratified by study design and whether they reported patient and/or service outcomes. Meta-analysis was conducted with Revman software V.5.3 using ORs—heterogeneity was assessed using I(2) statistics. RESULTS: Of 11 405 records 35 studies were included, of which 28 (80%) were before-and-after design only, five were both before-and-after and concurrent design, and two were randomised controlled trials (RCTs). There was heterogeneity of interventions and wide variation in reported outcome types. Almost all results showed health improvement where systems approaches were used. Study quality varied widely. Exploratory meta-analysis of these suggested favourable effects on both patient outcomes (n=14, OR=0.52 (95% CI 0.38 to 0.71) I(2)=91%), and service outcomes (n=18, OR=0.40 (95% CI 0.31 to 0.52) I(2)=97%). CONCLUSIONS: This study suggests that a systems approaches to healthcare design and delivery results in a statistically significant improvement to both patient and service outcomes. However, better quality studies, particularly RCTs are needed. PROSPERO registration number CRD42017065920. BMJ Publishing Group 2021-01-19 /pmc/articles/PMC7817809/ /pubmed/33468455 http://dx.doi.org/10.1136/bmjopen-2020-037667 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/ 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 Health Services Research
Komashie, Alexander
Ward, James
Bashford, Tom
Dickerson, Terry
Kaya, Gulsum Kubra
Liu, Yuanyuan
Kuhn, Isla
Günay, Aslι
Kohler, Katharina
Boddy, Nicholas
O'Kelly, Eugenia
Masters, Joseph
Dean, John
Meads, Catherine
Clarkson, P John
Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis
title Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis
title_full Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis
title_fullStr Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis
title_full_unstemmed Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis
title_short Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis
title_sort systems approach to health service design, delivery and improvement: a systematic review and meta-analysis
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817809/
https://www.ncbi.nlm.nih.gov/pubmed/33468455
http://dx.doi.org/10.1136/bmjopen-2020-037667
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