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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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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. |
format | Online Article Text |
id | pubmed-7678341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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