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IntroductionDespite the increased risk of cervical cancer among HIV-positive women, many HIV-care programs do not offer integrated cervical cancer screening. Incorporating self-collected Human Papillomavirus (HPV) testing into HIV programs is a potential strategy to identify women at higher risk for cervical cancer while leveraging the staffing, infrastructure and referral systems for existing services. Community-based HIV and HPV testing has been effective and efficient when offered in single-disease settings.MethodsThis cross-sectional study was conducted within a community outreach and multi-disease screening campaigns organized by the Family AIDS Care and Education Services in Kisumu County, Kenya. In addition to HIV testing, the campaigns provided screening for TB, malaria, hypertension, diabetes, and referrals for voluntary medical male circumcision. After these services, women aged 25-65 were offered self-collected HPV testing. Rates and predictors of cervical cancer screening uptake and of HPV positivity were analyzed using tabular analysis and Fisher's Exact Test. Logistic regression was performed to explore multivariate associations with screening uptake.ResultsAmong the 2016 women of screening age who attended the outreach campaigns, 749 women (35.6%) were screened, and 134 women (18.7%) were HPV-positive. In bivariate analysis, women who had no children (p

Background Cervical cancer screening through self-collected high-risk human papillomavirus (HPV) testing has increased screening uptake, particularly in low-resource settings. Improvement ultimately depends, however, on women with positive results accessing follow-up treatment. Identifying the barriers to timely treatment is needed to tailor service delivery for maximum impact. Materials and Methods This qualitative study was conducted within a self-collected HPV screening trial in Migori County, Kenya. HPV-positive women were referred for no-cost cryotherapy treatment at the county hospital. Women not attending within 60 days of receiving HPV-positive results were randomly selected for in-depth interviews (IDIs). IDIs were coded and analyzed to develop an analytical framework and identify treatment barriers. Results Eighty-one women were interviewed. IDIs showed a poor understanding of HPV and cervical cancer, impacting comprehension of screening results and treatment instructions. All 81 had not undergone treatment but reported intending to in the future. Eight reported seeking treatment unsuccessfully or not qualifying, primarily due to pregnancy. Transportation costs and long distances to the hospital were the most reported barriers to treatment. Other obstacles included work, household obligations, and fear of treatment. Impacts of social influences were mixed; some women reported their husbands prevented seeking treatment, others reported their husbands provided financial or emotional support. Few women experienced peer support. Conclusions Women faced many barriers to treatment following HPV screening in rural Kenya. Transportation barriers highlight a need for local treatment capacity or screen-and-treat approaches. Ensuring women understand their results and how to seek treatment is essential to improving cervical cancer screening in low-resource settings. [ABSTRACT FROM AUTHOR]

Background: Cervical cancer is the fourth most common cancer among women with significant global disparities in disease burden. In lower-resource settings, where routine screening is uncommon, delays in diagnosis and treatment contribute to morbidity and mortality. Understanding care delays may inform strategies to decrease time to treatment, improving patient outcomes., Methods: We collected sociodemographic, reproductive health and care journey data from 268 Ugandan women newly diagnosed with cervical cancer. We explored the influence of patient, health provider, system, and disease factors on time to presentation (patient interval), diagnosis (diagnostic interval) and treatment (treatment interval) using survival analysis., Results: Median patient, diagnostic and treatment intervals were 74 days (IQR 26-238), 83 days (IQR 34-229), and 34 days (IQR 18-58), respectively. Patient interval was delayed by belief that symptoms would resolve (aHR 0.37, 95% CI 0.24-0.57), confusion about where to seek care (aHR 0.64, 95% CI 0.47-0.88), and utilization of traditional care (aHR 0.70, 95% CI 0.51-0.96). Patient interval facilitators included perceiving symptoms as serious (aHR 2.14, 95% CI 1.43-3.19) and suspecting cancer (aHR 1.82, 95% CI 1.12-2.97). Diagnostic interval delays included symptomatic bleeding (aHR 055, 95% CI 0.35-0.85) and visiting > 2 clinics (aHR 0.69, 95% CI 0.49-0.97); facilitators included early-stage disease (aHR 1.41, 95% CI 1.03-1.95) and direct tertiary care presentation (aHR 2.13, 95% CI 1.20-3.79). Treatment interval delays included anticipating long waits (aHR 0.68, 95% CI 0.46-1.02) and requiring blood transfusions (aHR 0.63, 95% CI 0.37-1.07); no facilitators were identified., Conclusions: We identified potentially modifiable barriers and facilitators along the cervical cancer care cascade. Interventions targeting these factors may improve care timeliness but are unlikely to significantly improve morbidity or mortality. Expanding cervical cancer screening and vaccination are of utmost importance., Competing Interests: Additional Declarations: No competing interests reported. Competing interests The authors declare that they have no competing interests.

High rates of maternal and neonatal morbidity and mortality in Kenya may be influenced by provider training and knowledge in emergency obstetric and neonatal care in addition to availability of supplies necessary for this care. While post-abortion care is a key aspect of life-saving maternal health care, no validated questionnaires have been published on provider clinical knowledge in this arena. Our aim was to determine provider knowledge of maternal-child health (MCH) emergencies (post-abortion care, pre-eclampsia, postpartum hemorrhage, neonatal resuscitation) and determine factors associated with clinical knowledge. Our secondary aim was to pilot a case-based questionnaire on post-abortion care. We conducted a cross-sectional survey of providers at health facilities in western Kenya providing maternity services. Providers estimated facility capacity through perceived availability of both general and specialized supplies. Providers reported training on the MCH topics and completed case-based questions to assess clinical knowledge. Knowledge was compared between topics using a linear mixed model. Multivariable models identified variables associated with scores by topic. 132 providers at 37 facilities were interviewed. All facilities had access to general supplies at least sometime while specialized supplies were available less frequently. While only 56.8% of providers reported training on post-abortion care, more than 80% reported training on pre-eclampsia, postpartum hemorrhage, and neonatal resuscitation. Providers' clinical knowledge across all topics was low (mean score of 63.3%), with significant differences in scores by topic area. Despite less formal training in the subject area, providers answered 71.6% (SD 16.7%) questions correctly on post-abortion care. Gaps in supply availability, training, and clinical knowledge on MCH emergencies exist. Increasing training on MCH topics may decrease pregnancy and postpartum complications. Further, validated tools to assess knowledge in post-abortion care should be created, particularly in sub-Saharan Africa where legal restrictions on abortion services exist and many abortions are performed in unsafe settings., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Hagey et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Mobile health (mHealth) has become an increasingly popular strategy to improve healthcare delivery and health outcomes. Communicating results and health education via text may facilitate program planning and promote better engagement in care for women undergoing human papillomavirus (HPV) screening. We sought to develop and evaluate an mHealth strategy with enhanced text messaging to improve follow-up throughout the cervical cancer screening cascade., Methods: Women aged 25-65 participated in HPV testing in six community health campaigns (CHCs) in western Kenya. Women received their HPV results via text message, phone call, or home visit. Those who opted for text in the first four communities received "standard" texts. After completing the fourth CHC, we conducted two focus group discussions with women to develop an "enhanced" text strategy, including modifying the content, number, and timing of texts, for the subsequent two communities. We compared the overall receipt of results and follow-up for treatment evaluation among women in standard and enhanced text groups., Results: Among 2,368 women who were screened in the first four communities, 566 (23.9%) received results via text, 1,170 (49.4%) via phone call, and 632 (26.7%) via home visit. In the communities where enhanced text notification was offered, 264 of the 935 screened women (28.2%) opted for text, 474 (51.2%) opted for phone call, and 192 (20.5%) for home visit. Among 555 women (16.8%) who tested HPV-positive, 257 (46.3%) accessed treatment, with no difference in treatment uptake between the standard text group (48/90, 53.3%) and the enhanced text group (22/41, 53.7%). More women in the enhanced text group had prior cervical cancer screening (25.8% vs. 18.4%; p < 0.05) and reported living with HIV (32.6% vs. 20.2%; p < 0.001) than those in the standard text group., Conclusions: Modifying the content and number of texts as an enhanced text messaging strategy was not sufficient to increase follow-up in an HPV-based cervical cancer screening program in western Kenya. A one-size approach to mHealth delivery does not meet the needs of all women in this region. More comprehensive programs are needed to improve linkage to care to further reduce structural and logistical barriers to cervical cancer treatment.

Background: Cervical cancer screening through self-collected high-risk human papillomavirus (HPV) testing has increased screening uptake, particularly in low-resource settings. Improvement ultimately depends, however, on women with positive results accessing follow-up treatment. Identifying the barriers to timely treatment is needed to tailor service delivery for maximum impact., Materials and Methods: This qualitative study was conducted within a self-collected HPV screening trial in Migori County, Kenya. HPV-positive women were referred for no-cost cryotherapy treatment at the county hospital. Women not attending within 60 days of receiving HPV-positive results were randomly selected for in-depth interviews (IDIs). IDIs were coded and analyzed to develop an analytical framework and identify treatment barriers., Results: Eighty-one women were interviewed. IDIs showed a poor understanding of HPV and cervical cancer, impacting comprehension of screening results and treatment instructions. All 81 had not undergone treatment but reported intending to in the future. Eight reported seeking treatment unsuccessfully or not qualifying, primarily due to pregnancy. Transportation costs and long distances to the hospital were the most reported barriers to treatment. Other obstacles included work, household obligations, and fear of treatment. Impacts of social influences were mixed; some women reported their husbands prevented seeking treatment, others reported their husbands provided financial or emotional support. Few women experienced peer support., Conclusions: Women faced many barriers to treatment following HPV screening in rural Kenya. Transportation barriers highlight a need for local treatment capacity or screen-and-treat approaches. Ensuring women understand their results and how to seek treatment is essential to improving cervical cancer screening in low-resource settings., (© The Author(s) 2022. Published by Oxford University Press.)