Testing an Implementation Science Tool to Increase Cervical Cancer Screening in Mombasa, Kenya
Randomized Controlled Trial of an Implementation Science Tool to Increase Cervical Cancer Screening in Mombasa, Kenya
2 other identifiers
interventional
20
1 country
1
Brief Summary
Cervical cancer is the most common cancer in women in sub-Saharan Africa, and the majority of cervical cancer mortality occur in low and middle income countries (LMICs). Many of the disparities between high and LMICs are attributed to differences in screening. Kenyan guidelines recommend screening with visual inspection methods followed by treatment of pre-cancerous lesions with cryotherapy and loop electrosurgical excision procedure (LEEP). Implementation of these are poor with only 14% of Kenyan women ever having been screened for cervical cancer as of 2014. To address this implementation gap, this application proposes three aims. In Aim 1, the investigators will describe the cervical cancer screening care cascade, from identification of female clients age 21-65 years old, through referral for follow-up of clients with positive or suspicious screens, in family planning (FP) clinics in Mombasa County. Following characterization of this cascade, an analysis will be conducted of correlates of failure to screen for cervical cancer in FP clients seen over a one-year period in Mombasa County. Aim 2 will test whether SAIA increases cervical cancer screening compared to usual procedures in a cluster randomized trial in 20 FP clinics in Mombasa County. Finally, in Aim 3, the investigators will determine the cost and budget impact of using SAIA to increase cervical cancer screening in FP clinics in Mombasa County. The results of this study have the potential to improve cervical cancer screening, and inform policy in the Mombasa DOH for a fiscally responsible evidenced-based approach for cervical cancer screening. The long-term goal is to decrease cervical cancer mortality and improve women's health.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Jan 2020
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 19, 2018
CompletedFirst Posted
Study publicly available on registry
May 2, 2018
CompletedStudy Start
First participant enrolled
January 29, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2023
CompletedResults Posted
Study results publicly available
May 22, 2024
CompletedMay 22, 2024
May 1, 2024
1.5 years
April 19, 2018
February 28, 2024
May 20, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Cervical Cancer Screening
Proportion of all FP clients aged 21-65 years who were screened for cervical cancer over the total number of eligible clients
Aggregated data across 18 months, individual participants were not followed over time.
Study Arms (2)
Control
NO INTERVENTIONControl clinics: Clinics randomized to the control arm will continue usual procedures. Periodic evaluation of cervical cancer screening rates will be examined every 3 months using FP register data.
Intervention with SAIA
EXPERIMENTALClinics randomized to the intervention arm will be introduced to the five steps of SAIA by study staff. The cascade analysis will be performed within the FP clinic to identify drop-offs in cervical cancer screening and referrals, using an Excel-based tool adapted from previous SAIA trials. Flow mapping performed by clinic and study staff will describe the cervical cancer screening process including who the client interacts with, timing of these interactions, any cervical cancer screening performed, and any referrals made. Initial drafts will be reviewed together with clinic and study stuff to ensure adequate and complete representations of processes. Study staff will work with clinic staff to identify bottlenecks in the process and potential solutions to improve flow. Proposed solutions will be implemented, and the process will be examined again to determine the effect of the implemented changes. The cycle will be repeated approximately every 6-8 weeks during the RCT.
Interventions
SAIA has five steps. The first step uses an Excel-based tool to quantify drop- offs, or people who did not progress, in each step of a process (Figure 1). This tool also allows the user to see the downstream effect when improving one step in the cascade, and holding the other steps constant. Step 2 involves process flow mapping with clinic staff to identify modifiable bottlenecks in the process. Step 3 develops and implements a workflow modification to address a bottleneck identified in step 2 (continuous quality improvement \[CQI\] step). Step 4 assesses impact of the modification and recalculates the cascade analysis in step 1 (CQI step). Step 5 repeats the cycle for CQI. SAIA draws from systems engineering in the Toyota Production Systems and from research in LMICs. Studies in quality improvement in LMICs highlight that CQI processes led to more sustainable, effective, and appropriate interventions (42-44).
Eligibility Criteria
You may qualify if:
- All FP clinics that receive County-supplied FP products will be eligible to participate.
You may not qualify if:
- Any clinic that is expected to be closed during part or all of the SAIA intervention period will be excluded. Any FP clinic that was previously included in the FP HIV SAIA trial will be excluded.
- FP clinic managers and staff:
- Any FP clinic manager that is 18 years and older is eligible to be interviewed.
- These clinic managers can be male or female.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Washingtonlead
- National Cancer Institute (NCI)collaborator
Study Sites (1)
Family planning clinics
Mombasa, Kenya
Related Publications (1)
Eastment MC, Wanje G, Richardson BA, Mwaringa E, Patta S, Sherr K, Barnabas RV, Mandaliya K, Jaoko W, Mcclelland RS. 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. Implement Sci. 2023 Nov 27;18(1):66. doi: 10.1186/s13012-023-01322-y.
PMID: 38012647DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. McKenna Eastment
- Organization
- University of Washington
Study Officials
- PRINCIPAL INVESTIGATOR
McKenna C Eastment, MD
University of Washington
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Acting Instructor, School of Medicine: Department of Medicine: Allergy and Infectious Diseases
Study Record Dates
First Submitted
April 19, 2018
First Posted
May 2, 2018
Study Start
January 29, 2020
Primary Completion
July 31, 2021
Study Completion
December 31, 2023
Last Updated
May 22, 2024
Results First Posted
May 22, 2024
Record last verified: 2024-05
Data Sharing
- IPD Sharing
- Will not share
Data from this study will be available upon request after publication of the main study manuscripts. A standard approach will be followed for data sharing. Researchers requesting access to data will need to first submit a request in writing describing their qualifications, local IRB approval for the planned analyses, statistical analysis plans, and plans to secure the confidentiality and safety of the data. They will be required to agree, in writing, that they will not share the data with others, will use it only for the research purpose(s) delineated, and will return or destroy the data upon completion. All data will be de-identified. Approval from the Kenyatta National Hospital-University of Nairobi Ethics and Research Committee (KNH-UON ERC) will also be required to have access to any data.