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How to prioritise in quality improvement? Targeted implementation as a key for quality improvement in Kenyan health facilities

BACKGROUND: Data from national surveys of low- and middle income countries indicates that there is still a need to improve the quality of healthcare in resource-poor settings. This study aims to understand the benefit of an integral, facility-driven, indicator-based approach used as a decision-makin...

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Autores principales: Nitschke, Christine, Nafula, Maureen, Brodowski, Marc, Marx, Irmgard, Kandie, Charles, Omogi, Irene, Paul-Fariborz, Friederike, Szecsenyi, Joachim, Brugnara, Lucia, Marx, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678341/
https://www.ncbi.nlm.nih.gov/pubmed/33214145
http://dx.doi.org/10.1136/bmjoq-2020-001139
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author Nitschke, Christine
Nafula, Maureen
Brodowski, Marc
Marx, Irmgard
Kandie, Charles
Omogi, Irene
Paul-Fariborz, Friederike
Szecsenyi, Joachim
Brugnara, Lucia
Marx, Michael
author_facet Nitschke, Christine
Nafula, Maureen
Brodowski, Marc
Marx, Irmgard
Kandie, Charles
Omogi, Irene
Paul-Fariborz, Friederike
Szecsenyi, Joachim
Brugnara, Lucia
Marx, Michael
author_sort Nitschke, Christine
collection PubMed
description BACKGROUND: Data from national surveys of low- and middle income countries indicates that there is still a need to improve the quality of healthcare in resource-poor settings. This study aims to understand the benefit of an integral, facility-driven, indicator-based approach used as a decision-making tool to define effective quality improvement interventions in Kenya. OBJECTIVE: The aim of the study is to understand whether the integral approach developed leads to effective interventions. METHODS: Categorical data is collected from ten health facilities covered by the Integrated Quality Management System (IQMS) project in Kenya. First the information on concrete improvement interventions implemented within the facilities is collected and merged into five different intervention topics. Second, groups of facilities with similar quality improvement interventions are selected to compare between the first and second quality assessment rounds. Those IQMS indicators matching the content of the intervention topic are extracted from the software VISOTOOL. In a third step, the data is summarised using means and SD. A one sample T-test is applied on the mean changes and SD. Frequency counts and percentages were used for the presentation of categorical data. RESULTS: All improvement interventions resulted in positive and higher change values (T2-T1). Four of five intervention topics, show statistically significant improvements including neonatal mortality (42%; p<0.0001), waiting time (39%; p=0.0490), infection prevention control (28%; p=0.0007) and with shortages of staffing and transport in remote areas (32%; p=0.0194). CONCLUSIONS: In all facilities the interventions selected have a positive impact, some of which markedly improved. It demonstrates that this integral quality improvement approach in Kenya can serve as an effective decision-making tool for identification and prioritisation of interventions. Those targeted interventions, being performed under institutionalisation in form of coaching and tutoring, effectively contribute to improving the quality of care in resource poor settings.
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spelling pubmed-76783412020-11-30 How to prioritise in quality improvement? Targeted implementation as a key for quality improvement in Kenyan health facilities Nitschke, Christine Nafula, Maureen Brodowski, Marc Marx, Irmgard Kandie, Charles Omogi, Irene Paul-Fariborz, Friederike Szecsenyi, Joachim Brugnara, Lucia Marx, Michael BMJ Open Qual Quality Improvement Report BACKGROUND: Data from national surveys of low- and middle income countries indicates that there is still a need to improve the quality of healthcare in resource-poor settings. This study aims to understand the benefit of an integral, facility-driven, indicator-based approach used as a decision-making tool to define effective quality improvement interventions in Kenya. OBJECTIVE: The aim of the study is to understand whether the integral approach developed leads to effective interventions. METHODS: Categorical data is collected from ten health facilities covered by the Integrated Quality Management System (IQMS) project in Kenya. First the information on concrete improvement interventions implemented within the facilities is collected and merged into five different intervention topics. Second, groups of facilities with similar quality improvement interventions are selected to compare between the first and second quality assessment rounds. Those IQMS indicators matching the content of the intervention topic are extracted from the software VISOTOOL. In a third step, the data is summarised using means and SD. A one sample T-test is applied on the mean changes and SD. Frequency counts and percentages were used for the presentation of categorical data. RESULTS: All improvement interventions resulted in positive and higher change values (T2-T1). Four of five intervention topics, show statistically significant improvements including neonatal mortality (42%; p<0.0001), waiting time (39%; p=0.0490), infection prevention control (28%; p=0.0007) and with shortages of staffing and transport in remote areas (32%; p=0.0194). CONCLUSIONS: In all facilities the interventions selected have a positive impact, some of which markedly improved. It demonstrates that this integral quality improvement approach in Kenya can serve as an effective decision-making tool for identification and prioritisation of interventions. Those targeted interventions, being performed under institutionalisation in form of coaching and tutoring, effectively contribute to improving the quality of care in resource poor settings. BMJ Publishing Group 2020-11-19 /pmc/articles/PMC7678341/ /pubmed/33214145 http://dx.doi.org/10.1136/bmjoq-2020-001139 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 Quality Improvement Report
Nitschke, Christine
Nafula, Maureen
Brodowski, Marc
Marx, Irmgard
Kandie, Charles
Omogi, Irene
Paul-Fariborz, Friederike
Szecsenyi, Joachim
Brugnara, Lucia
Marx, Michael
How to prioritise in quality improvement? Targeted implementation as a key for quality improvement in Kenyan health facilities
title How to prioritise in quality improvement? Targeted implementation as a key for quality improvement in Kenyan health facilities
title_full How to prioritise in quality improvement? Targeted implementation as a key for quality improvement in Kenyan health facilities
title_fullStr How to prioritise in quality improvement? Targeted implementation as a key for quality improvement in Kenyan health facilities
title_full_unstemmed How to prioritise in quality improvement? Targeted implementation as a key for quality improvement in Kenyan health facilities
title_short How to prioritise in quality improvement? Targeted implementation as a key for quality improvement in Kenyan health facilities
title_sort how to prioritise in quality improvement? targeted implementation as a key for quality improvement in kenyan health facilities
topic Quality Improvement Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678341/
https://www.ncbi.nlm.nih.gov/pubmed/33214145
http://dx.doi.org/10.1136/bmjoq-2020-001139
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