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Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya

BACKGROUND: Cervical cancer is the leading cause of cancer death in Kenyan women. Integrating cervical cancer screening into family planning (FP) clinics is a promising strategy to improve health for reproductive-aged women. The objective of this cluster randomized trial was to test the efficacy of...

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Autores principales: Eastment, McKenna C., Wanje, George, Richardson, Barbra A., Mwaringa, Emily, Patta, Shem, Sherr, Kenneth, Barnabas, Ruanne V., Mandaliya, Kishorchandra, Jaoko, Walter, Mcclelland, R. Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680234/
https://www.ncbi.nlm.nih.gov/pubmed/38012647
http://dx.doi.org/10.1186/s13012-023-01322-y
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author Eastment, McKenna C.
Wanje, George
Richardson, Barbra A.
Mwaringa, Emily
Patta, Shem
Sherr, Kenneth
Barnabas, Ruanne V.
Mandaliya, Kishorchandra
Jaoko, Walter
Mcclelland, R. Scott
author_facet Eastment, McKenna C.
Wanje, George
Richardson, Barbra A.
Mwaringa, Emily
Patta, Shem
Sherr, Kenneth
Barnabas, Ruanne V.
Mandaliya, Kishorchandra
Jaoko, Walter
Mcclelland, R. Scott
author_sort Eastment, McKenna C.
collection PubMed
description BACKGROUND: Cervical cancer is the leading cause of cancer death in Kenyan women. Integrating cervical cancer screening into family planning (FP) clinics is a promising strategy to improve health for reproductive-aged women. The objective of this cluster randomized trial was to test the efficacy of an implementation strategy, the Systems Analysis and Improvement Approach (SAIA), as a tool to increase cervical cancer screening in FP clinics in Mombasa County, Kenya. METHODS: Twenty FP clinics in Mombasa County were randomized 1:1 to SAIA versus usual procedures. SAIA has five steps: (1) cascade analysis tool to understand the cascade and identify inefficiencies, (2) sequential process flow mapping to identify bottlenecks, (3) develop and implement workflow modifications (micro-interventions) to address identified bottlenecks, (4) assess the micro-intervention in the cascade analysis tool, and (5) repeat the cycle. Prevalence ratios were calculated using Poisson regression with robust standard errors to compare the proportion of visits where women were screened for cervical cancer in SAIA clinics compared to control clinics. RESULTS: In the primary intent-to-treat analysis in the last quarter of the trial, 2.5% (37/1507) of visits with eligible FP clients at intervention facilities included cervical cancer screening compared to 3.7% (66/1793) in control clinics (prevalence ratio [PR] 0.67, 95% CI 0.45–1.00). When adjusted for having at least one provider trained to perform cervical cancer screening at baseline, there was no significant difference between screening in intervention clinics compared to control clinics (adjusted PR 1.14, 95% CI 0.74–1.75). CONCLUSIONS: The primary analysis did not show an effect on cervical cancer screening. However, the COVID-19 pandemic and a healthcare worker strike likely impacted SAIA’s implementation with significant disruptions in FP care delivery during the trial. While SAIA’s data-informed decision-making and clinic-derived solutions are likely important, future work should directly study the mechanisms through which SAIA operates and the influence of contextual factors on implementation. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03514459. Registered on April 19, 2018.
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spelling pubmed-106802342023-11-27 Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya Eastment, McKenna C. Wanje, George Richardson, Barbra A. Mwaringa, Emily Patta, Shem Sherr, Kenneth Barnabas, Ruanne V. Mandaliya, Kishorchandra Jaoko, Walter Mcclelland, R. Scott Implement Sci Research BACKGROUND: Cervical cancer is the leading cause of cancer death in Kenyan women. Integrating cervical cancer screening into family planning (FP) clinics is a promising strategy to improve health for reproductive-aged women. The objective of this cluster randomized trial was to test the efficacy of an implementation strategy, the Systems Analysis and Improvement Approach (SAIA), as a tool to increase cervical cancer screening in FP clinics in Mombasa County, Kenya. METHODS: Twenty FP clinics in Mombasa County were randomized 1:1 to SAIA versus usual procedures. SAIA has five steps: (1) cascade analysis tool to understand the cascade and identify inefficiencies, (2) sequential process flow mapping to identify bottlenecks, (3) develop and implement workflow modifications (micro-interventions) to address identified bottlenecks, (4) assess the micro-intervention in the cascade analysis tool, and (5) repeat the cycle. Prevalence ratios were calculated using Poisson regression with robust standard errors to compare the proportion of visits where women were screened for cervical cancer in SAIA clinics compared to control clinics. RESULTS: In the primary intent-to-treat analysis in the last quarter of the trial, 2.5% (37/1507) of visits with eligible FP clients at intervention facilities included cervical cancer screening compared to 3.7% (66/1793) in control clinics (prevalence ratio [PR] 0.67, 95% CI 0.45–1.00). When adjusted for having at least one provider trained to perform cervical cancer screening at baseline, there was no significant difference between screening in intervention clinics compared to control clinics (adjusted PR 1.14, 95% CI 0.74–1.75). CONCLUSIONS: The primary analysis did not show an effect on cervical cancer screening. However, the COVID-19 pandemic and a healthcare worker strike likely impacted SAIA’s implementation with significant disruptions in FP care delivery during the trial. While SAIA’s data-informed decision-making and clinic-derived solutions are likely important, future work should directly study the mechanisms through which SAIA operates and the influence of contextual factors on implementation. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03514459. Registered on April 19, 2018. BioMed Central 2023-11-27 /pmc/articles/PMC10680234/ /pubmed/38012647 http://dx.doi.org/10.1186/s13012-023-01322-y Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Eastment, McKenna C.
Wanje, George
Richardson, Barbra A.
Mwaringa, Emily
Patta, Shem
Sherr, Kenneth
Barnabas, Ruanne V.
Mandaliya, Kishorchandra
Jaoko, Walter
Mcclelland, R. Scott
Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya
title Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya
title_full Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya
title_fullStr Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya
title_full_unstemmed Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya
title_short Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya
title_sort results of a cluster randomized trial testing the systems analysis and improvement approach to increase cervical cancer screening in family planning clinics in mombasa county, kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680234/
https://www.ncbi.nlm.nih.gov/pubmed/38012647
http://dx.doi.org/10.1186/s13012-023-01322-y
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