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

BackgroundData 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...

Full description

Saved in:
Bibliographic Details
Published in:BMJ open quality 2020-11, Vol.9 (4), p.e001139
Main Authors: Nitschke, Christine, Nafula, Maureen, Brodowski, Marc, Marx, Irmgard, Kandie, Charles, Omogi, Irene, Paul-Fariborz, Friederike, Szecsenyi, Joachim, Brugnara, Lucia, Marx, Michael
Format: Article
Language:English
Subjects:
decision making
Feedback
Health administration
Health facilities
Maternal & child health
Mortality
Prenatal care
Qualitative research
Quality control
Quality improvement
Quality Improvement Report
Quality management
quality measurement
R&D
Research & development
Rural areas
Self evaluation
Software
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:BackgroundData 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.ObjectiveThe aim of the study is to understand whether the integral approach developed leads to effective interventions.MethodsCategorical 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.ResultsAll 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
ISSN:2399-6641
2399-6641
DOI:10.1136/bmjoq-2020-001139