Accuracy of HPV testing on self-collected and clinician-collected samples for different screening strategies in African settings: A systematic review and meta-analysis.

OBJECTIVES: Cervical cancer still poses a considerable threat to women in low- and middle-income countries, particularly on the African continent. Self-collection of a vaginal sample promises advantages over the established sampling by clinicians. We aimed to assess the accuracy of self-sampling compared to clinician sampling in order to inform its application in primary care in the African context. METHODS: We searched Pubmed, Livivo, Web of Science, Cochrane Library and African Index Medicus on the 07th of February 2022. The eligibility criteria were: reporting (i) self-sampling against clinician-sampling, (ii) study location in Africa, (iii) relevant outcome-measures: (a) Cohen's kappa (b) sensitivity and specificity of self-sampling tests. We combined Cohen's kappa effects, additionally sensitivity and specificity estimates using random-effects models. The study is registered with PROSPERO (CRD42020218081). RESULTS: We included 28 studies in the systematic review and 21 studies in the meta-analysis. Self-sampling was used to test for high-risk HPV infections. Two studies additionally tested for low-risk HPV infections. The pooled Cohen's kappa was 0.66 (95%CI: 0.61-0.71). Populations at risk yielded 0.63 (95%CI: 0.56-0.71). Target amplification tests based on PCR performed best with a kappa of 0.68 (95%CI: 0.63-0.73) compared to isothermal mRNA tests, 0.61 (95%CI: 0.51-0.71). Point of care tests performed exceptionally well, 0.73 (95%CI: 0.67-0.80). Sensitivities are close to 80% and specificities close to 90% of self-sampling to detect high-risk HPV. CONCLUSIONS: Self-sampling agrees moderately to substantially with clinician sampling in the African context. Point of care tests might be particularly suited for application in cervical cancer primary screening in low- and middle-income countries. Populations at risk should get special attention while using self-sampling. Screening protocols should be established.

Community Health Worker Use of Smart Devices for Health Promotion: Scoping Review.

BACKGROUND: Community health workers (CHWs) have become essential to the promotion of healthy behaviors, yet their work is complicated by challenges both within and beyond their control. These challenges include resistance to the change of existing behaviors, disbelief of health messages, limited community health literacy, insufficient CHW communication skills and knowledge, lack of community interest and respect for CHWs, and CHWs' lack of adequate supplies. The rising penetration of "smart" technology (eg, smartphones and tablets) in low- and middle-income countries facilitates the use of portable electronic devices in the field. OBJECTIVE: This scoping review examines to what extent mobile health in the form of smart devices may enhance the delivery of public health messages in CHW-client interactions, thereby addressing the aforementioned challenges and inducing client behavior change. METHODS: We conducted a structured search of the PubMed and LILACS databases using subject heading terms in 4 categories: technology user, technology device, use of technology, and outcome. Eligibility criteria included publication since January 2007, CHWs delivering a health message aided by a smart device, and face-to-face communication between CHWs and clients. Eligible studies were analyzed qualitatively using a modified version of the Partners in Health conceptual framework. RESULTS: We identified 12 eligible studies, 10 (83%) of which used qualitative or mixed methods approaches. We found that smart devices mitigate challenges encountered by CHWs by improving their knowledge, motivation, and creativity (eg, through self-made videos); their status within the community; and the credibility of their health messages. The technology stimulated interest in both CHWs and clients-and sometimes even in bystanders and neighbors. Media content produced locally or reflecting local customs was strongly embraced. Yet, the effect of smart devices on the quality of CHW-client interactions was inconclusive. Interactions suffered as CHWs were tempted to replace educational conversations with clients by passively watching video content. Furthermore, a series of technical difficulties experienced especially by older and less educated CHWs compromised some of the advantages brought about by mobile devices. Adequate CHW training ameliorated these difficulties. Only 1 study (8%) considered client health behavior change as an end point, thus revealing a major research gap. CONCLUSIONS: Smart mobile devices may augment CHWs' field performance and enhance face-to-face interactions with clients, yet they also generate new challenges. The available evidence is scarce, mostly qualitative, and focused on a limited range of health outcomes. Future research should include larger-scale interventions across a wide range of health outcomes and feature client health behavior change as an end point.

Exploring computer-aided health decision-making on cervical cancer interventions through deliberative interviews in Ethiopia.

Cervical cancer is a significant disease burden in Ethiopia. Mathematical models and computer simulations on disease dynamics can support effective resource allocation. The objectives of this work are (i) to explore the perspectives of health decision-makers on computer-aided predictions supporting cervical cancer interventions, (ii) to identify their information needs from these predictions, and (iii) their willingness to apply the results in their work. We conducted deliberative interviews with 15 health decision-makers and advisors in Ethiopia in autumn 2019. We analyze the data using a five steps framework approach drawing on thematic analysis and find that Ethiopian health decision-makers are willing to use computer-aided predictions in their decisions. Data on HPV prevalence and the cervical cancer burden are scarce but valued highly and decision-makers are particularly interested in the identification of local HPV hotspots. Data-driven mathematical models and computer simulations may increasingly influence health decision-making in Ethiopia.