| Literature DB >> 34162367 |
Keitly Mensah1, Charles Kaboré2, Salifou Zeba3, Magali Bouchon4, Véronique Duchesne5, Dolorès Pourette5, Pierre DeBeaudrap5, Alexandre Dumont5.
Abstract
BACKGROUND: Cervical cancer screening in sub-Saharan countries relies on primary visual inspection with acetic acid (VIA). Primary human papillomavirus (HPV)-based screening is considered a promising alternative. However, the implementation and real-life effectiveness of this strategy at the primary-care level in limited-resource contexts remain under explored. In Ouagadougou, Burkina Faso, free HPV-based screening was implemented in 2019 in two primary healthcare centers. We carried out a process and effectiveness evaluation of this intervention.Entities:
Keywords: Cervical cancer; HPV screening; Implementation; Mixed-method; Process evaluation; Sub-saharan africa
Mesh:
Year: 2021 PMID: 34162367 PMCID: PMC8220722 DOI: 10.1186/s12905-021-01392-4
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.809
Fig. 1Theory of change (ToC). ToC depicts the various components of the implementation, the assumed pathways through which these components could bring about the targeted changes (mechanisms of change) and the underlying hypotheses that need to hold true for that changes to occur. Indicators are collected at the facility level (weekly reports and monitoring reports) and individual level (cohort study)
Healthcare facility characteristics
| Center A | Center B | |
|---|---|---|
| Physician | 1 | 2 |
| Midwives/nurses | 12 | 9 |
| Birth attendants | 11 | 14 |
| Laboratory staff | 4 technical staff, 1 head | 2 technical staff, 1 head |
| Daily prevention consultation | 115 | 90 |
| Daily curative consultation | 130 | 100 |
| Annual target population (25–55 years) for cervical screening | 3630 | 2415 |
Fig. 2Mixed-method design. Overview of the convergent mixed-method design: data collection, analysis strategy and integration
Data sources, participants and outcomes
| Method | Participants/recruitment | Sampling | Data collection timing | Outcomes |
|---|---|---|---|---|
| Weekly supervision report | Women included in the cohort study, healthcare workers involved in the screening process at participating facilities | Facilities included in the implementation process | January 2018 to December 2019 | Implementation outcome Facility-based measure of fidelity |
| Facility routine health information system | Women included in the cohort study, healthcare workers involved in the screening process at participating facilities | Registries CC screening process (clinical data) HPV testing (laboratory data) | May to December 2019 | |
| Questionnaires (cohort study) | 300 women (150/facility) attending facilities for CC screening and eligible for screening as defined by the project | Sample size calculated to provide a 5% accuracy in the measurement of screening completeness Based on an expected screening completeness of 80% and to protect against refusal to participate and dropouts, we decided to include 300 women (n = 150 per facility) | July 1st to October 31st, 2019 | Screening completeness Screening process satisfaction: postsampling, postresult and post-VIA if applicable Individual measure of fidelity Screening steps Context Women’s characteristics |
| Observations | Women attending facilities for CC screening, healthcare workers involved in the screening process (90 medical visits, 30 laboratory procedures) | Screening activities at facilities Waiting room Screening room Laboratories Performed until saturation is obtained | July 1st to August 31st 2019 | CC screening practice Adaptation performed by healthcare workers |
| Semistructured interviews | 20 Women included in the cohort study, 20 healthcare workers involved in the CC screening process | Maximum variation sampling was used to achieve a diverse sample of providers of various qualifications, sexes and seniorities (n = 08 per facility) for individual in-depth interviews. The same method was used to obtain a diverse sample of 20 women in terms of age, religion, ethnicity, and HPV status (n = 10 per facility) | September 1st to November 20th 2019 | Women’s CC knowledge, Motivation to undergo screening Experience with HPV-based screening Healthcare workers’ reasons for program adaptation |
Fig. 3Cohort study data flow. Colored cells indicate WHO guidelines. * indicates the cohort study endpoints
Participant demographics
| All centers (N = 317) | Center A (N = 160) | Center B (N = 157) | p value | |
|---|---|---|---|---|
| 0.985 | ||||
| 25–35 years old | 153 (48.3) | 78 (48.8) | 75 (47.8) | |
| 36–45 years old | 142 (44.8) | 71 (44.4) | 71 (45.2) | |
| 46–55 years old | 22 (6.9) | 11 (6.9) | 11 (7.0) | |
| 0.207 | ||||
| Ouagadougou | 295 (97.0) | 149 (95.5) | 146 (98.6) | |
| Outside Ouagadougou | 9 (3.0) | 7 (4.5) | 2 (1.4) | |
| Unknown | 14 (4.4) | 5 (3.1) | 9 (5.7) | |
| < 0.001 | ||||
| High | 111 (35.0) | 47 (29.4) | 64 (40.8) | |
| Intermediate | 162 (51.1) | 79 (49.4) | 83 (52.9) | |
| Low | 44 (13.9) | 34 (21.2) | 10 (6.4) | |
| 0.115 | ||||
| At least once | 97 (30.6) | 42 (26.2) | 55 (35.0) | |
| Never | 220 (69.4) | 118 (73.8) | 102 (65) | |
| 0.095 | ||||
| None | 59 (18.6) | 33 (20.6) | 26 (16.6) | |
| Low | 67 (21.1) | 38 (23.8) | 29 (18.5) | |
| Intermediate | 106 (33.4) | 43 (26.9) | 63 (40.1) | |
| High | 85 (26.8) | 46 (28.7) | 39 (24.8) | |
| 10 (3) | 10 (2) | 11 (3) | 0.692 |
aTravel cost is the average amount of money spent by women traveling to healthcare centers during the screening process. It could be none (0$), low (≤ 0.90$), intermediate (≤ 1.80$) or high (> 1.80$). All cost are in US dollars
Primary and secondary outcomes
| Overall | Center A | Center B | p value | |
|---|---|---|---|---|
| HPV-negative women, the results given | 247/249 (99.2) | 127/128 (99.2) | 120/121 (99.2) | 1 |
| HPV-positive women, VIA done and negative | 49/55 (89.1) | 21/25 (84.0) | 28/30 (93.3) | 0.56 |
| HPV-positive women, VIA positive and treatment provided | 3/6 (50.0) | 2/4 (50.0) | 1/2 (50.0) | 1 |
| Women with complete screening sequencea | 299/317 (94.3) | 150/160 (93.8) | 149/157 (94.9) | 0.84 |
| Postsampling | 205/317 (64.7) | 128/160 (80.0) | 77/157 (49.0) | < 0.001 |
| Postresults | 300/315 (94.6) | 146/158 (91.2) | 154/157 (98.1) | 0.014 |
| Post-VIA | 38/55 (69.1) | 15/25 (60.0) | 23/30 (76.7) | 0.29 |
Data are number of women (%)
aScreening sequence was considered complete when an HPV-negative woman was informed of the result of the HPV test, when an HPV-positive woman had a subsequent negative VIA test, or when an HPV-positive woman with a subsequent positive VIA test had an appropriate treatment
bSatisfaction was assessed at three steps: after vaginal sampling (postsampling); after women received their test results (postresults); and after the visual inspection if relevant (post-VIA)
Fig. 4Implementation strategy fidelity and reach. A Implementation component fidelity. Level of achievement (%) of the various components of the implementation strategy overall (blue) and by center. The expected level of achievement indicated by the dashed red line. Material-oriented actions received a high level of achievement (equipment and training). B Daily screening activity. The reach outcomes are presented as the expected daily number of eligible women screened per center (dashed line) and in all centers (dotted line) according to the initial plan. The overall variations are shown in blue, the variations from Center A are shown in green, and those from Center B are shown in red
Components of the PARACAO implementation strategy, underlying theories and assumptions
| Component | Description | Theory | Assumption |
|---|---|---|---|
| Integration of healthcare services | Through the process of implementation, healthcare providers and implementers decide on modifications to existing systems, structures, or tasks to offer women the possibility of having an HPV test at the primary healthcare center | Continuum of care for sexual and reproductive health services [ | Integrating HPV testing within primary care enhances both cervical cancer screening and sexual/reproductive health services uptake |
| Education of healthcare providers | Off-site training of healthcare providers to update their knowledge, persuade them to change their practices, and maintain their competence | Cognitive and learning theories [ | Education favors the integration of new practices in healthcare settings and improves the quality of cervical cancer screening |
| Outreach educational visits | A trained supervisor visits each target provider at participating facilities to explore problems, identify possible local solutions, and discuss their concerns | Health promotion, innovation, and social marketing theories [ | Regular supervisory visits to healthcare providers to help maintain their skills and performance |
| Patient counseling | Midwives deliver counseling to women at various steps of the screening process: before HPV testing, after the results, after triage and after appropriate treatment if relevant | Women empowerment [ | Counseling by a trained midwife benefits woman by facilitating a process of informed participation in the context of improved knowledge |
Fig. 5Study findings policy implications