Cost-effectiveness analysis of alternative screening strategies for the detection of cervical cancer among women in rural areas of Western Kenya.

While the incidence of cervical cancer has dropped in high-income countries due to organized cytology-based screening programs, it remains the leading cause of cancer death among women in Eastern Africa. Therefore, the World Health Organization (WHO) now urges providers to transition from widely prevalent but low-performance visual inspection with acetic acid (VIA) screening to primary human papillomavirus (HPV) DNA testing. Due to high HPV prevalence, effective triage tests are needed to identify those lesions likely to progress and so avoid over-treatment. To identify the optimal cost-effective strategy, we compared the VIA screen-and-treat approach to primary HPV DNA testing with p16/Ki67 dual-stain cytology or VIA as triage. We used a Markov model to calculate the budget impact of each strategy with incremental quality-adjusted life years and incremental cost-effectiveness ratios (ICER) as the main outcome. Deterministic cost-effectiveness analyses show that the screen-and-treat approach is highly cost-effective (ICER 2469 Int$), while screen, triage, and treat with dual staining is the most effective with favorable ICER than triage with VIA (ICER 9943 Int$ compared with 13,177 Int$). One-way sensitivity analyses show that the results are most sensitive to discounting, VIA performance, and test prices. In the probabilistic sensitivity analyses, the triage option using dual stain is the optimal choice above a willingness to pay threshold of 7115 Int$ being cost-effective as per WHO standards. The result of our analysis favors the use of dual staining over VIA as triage in HPV-positive women and portends future opportunities and necessary research to improve the coverage and acceptability of cervical cancer screening programs.

Good while it lasted? Estimating the long-term and withdrawal effects of results-based financing in Malawi on maternal care utilisation using routine data.

OBJECTIVES: This study aimed to evaluate the effect of introduction and subsequent withdrawal of the Results-based Financing for Maternal and Newborn Health Initiative (RBF4MNH) in Malawi on utilisation of facility-based childbirths, antenatal care (ANC) and postnatal care (PNC). DESIGN: A controlled interrupted time series design was used with secondary data from the Malawian Health Management Information System. SETTING: Healthcare facilities at all levels identified as providing maternity services in four intervention districts and 20 non-intervention districts in Malawi. PARTICIPANTS: Routinely collected, secondary data of total monthly service utilisation of facility-based childbirths, ANC and PNC services. INTERVENTIONS: The intervention is the RBF4MNH initiative, introduced by the Malawian government in 2013 to improve maternal and infant health outcomes and withdrawn in 2018 after ceasing of donor funding. OUTCOME MEASURES: Differences in total volume and trends of utilisation of facility-based childbirths, ANC and PNC services, compared between intervention versus non-intervention districts, for the study period of 90 consecutive months. RESULTS: No significant effect was observed, on utilisation trends for any of the three services during the first 2.5 years of intervention. In the following 2.5 years after full implementation, we observed a small positive increase for facility-based childbirths (+0.62 childbirths/month/facility) and decrease for PNC (-0.55 consultations/month/facility) trends of utilisation respectively. After withdrawal, facility-based childbirths and ANC consultations dropped both in immediate volume after removal (-10.84 childbirths/facility and -20.66 consultations/facility, respectively), and in trends of utilisation over time (-0.27 childbirths/month/facility and -1.38 consultations/month/facility, respectively). PNC utilisation levels seemed unaffected in intervention districts against a decline in the rest of the country. CONCLUSIONS: Concurrent with wider literature, our results suggest that effects of complex health financing interventions, such as RBF4MNH, can take a long time to be seen. They might not be sustained beyond the implementation period if measures are not adopted to reform existing health financing structures.

Correction: Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial.

[This corrects the article DOI: 10.2196/44204.].

The impact of international health worker migration and recruitment on health systems in source countries: Stakeholder perspectives from Colombia, Indonesia, and Jordan.

INTRODUCTION: To address domestic shortages, high-income countries are increasingly recruiting health workers from low- and middle-income countries. This practice is much debated. Proponents underline benefits of return migration and remittances. Critics point in particular to the risk of brain drain. Empirical evidence supporting either position is yet rare. This study contributes to filling this gap in knowledge by reporting high-level stakeholders' perspectives on health system impacts of international migration in general, and active recruitment of health workers in specific, in Colombia, Indonesia, and Jordan. METHOD: We used a multiple case study methodology, based on qualitative methods integrated with information available in the published literature. RESULTS: All respondents decried a lack of robust and detailed data as a serious challenge in ascertaining their perspectives on impacts of health worker migration. Stakeholders described current emigration levels as not substantially aggravating existing health workforce availability challenges. This is due to the fact that all three countries are faced with health worker unemployment grounded in unwillingness to work in rural areas and/or overproduction of certain cadres. Respondents, however, pleaded against targeting very experienced and specialised individuals. While observing little harm of health worker migration at present, stakeholders also noted few benefits such as brain gain, describing how various barriers to skill enhancement, return, and reintegration into the health system hamper in practice what may be possible in theory. CONCLUSION: Improved availability of data on health worker migration, including their potential return and reintegration into their country of origin's health system, is urgently necessary to understand and continuously monitor costs and benefits in dynamic national and international health labour markets. Our results imply that potential benefits of migration do not come into being automatically, but need in-country supportive policy and programming, such as favourable reintegration policies or programs targeting engagement of the diaspora.

A step closer towards achieving universal health coverage: the role of gender in enrolment in health insurance in India.

BACKGROUND: There is limited understanding of how universal health coverage (UHC) schemes such as publicly-funded health insurance (PFHI) benefit women as compared to men. Many of these schemes are gender-neutral in design but given the existing gender inequalities in many societies, their benefits may not be similar for women and men. We contribute to the evidence by conducting a gender analysis of the enrolment of individuals and households in India's national PFHI scheme, Rashtriya Swasthya Bima Yojana (RSBY). METHODS: We used data from a cross-sectional household survey on RSBY eligible families across eight Indian states and studied different outcome variables at both the individual and household levels to compare enrolment among women and men. We applied multivariate logistic regressions and controlled for several demographic and socio-economic characteristics. RESULTS: At the individual level, the analysis revealed no substantial differences in enrolment between men and women. Only in one state were women more likely to be enrolled in RSBY than men (AOR: 2.66, 95% CI: 1.32-5.38), and this pattern was linked to their status in the household. At the household level, analyses revealed that female-headed households had a higher likelihood to be enrolled (AOR: 1.36, 95% CI: 1.14-1.62), but not necessarily to have all household members enrolled. CONCLUSION: Findings are surprising in light of India's well-documented gender bias, permeating different aspects of society, and are most likely an indication of success in designing a policy that did not favour participation by men above women, by mandating spouse enrolment and securing enrolment of up to five family members. Higher enrolment rates among female-headed households are also an indication of women's preferences for investments in health, in the context of a conducive policy environment. Further analyses are needed to examine if once enrolled, women also make use of the scheme benefits to the same extent as men do. India is called upon to capitalise on the achievements of RSBY and apply them to newer schemes such as PM-JAY.

Comprehensive Health Insurance and access to maternal healthcare services among Peruvian women: a cross-sectional study using the 2021 national demographic survey.

BACKGROUND: The government-subsidized health insurance scheme Seguro Integral de Salud ("SIS") was introduced in Peru initially to provide coverage to uninsured and poor pregnant women and children under five years old and was later extended to cover all uninsured members of the population following the Peruvian Plan Esencial de Aseguramiento Universal - "PEAS" (Essential UHC Package). Our study aimed to analyze the extent to which the introduction of SIS has increased equity in access and quality by comparing the utilization of maternal healthcare services among women with different insurance coverages. METHODS: Relying on the 2021 round of the nationally-representative survey "ENDES" (Encuesta Nacional Demográfica y de Salud Familiar), we analyzed data for 19,181 women aged 15-49 with a history of pregnancy in the five years preceding the survey date. We used a series of logistic regressions to explore the association between health insurance coverage (defined as No Insurance, SIS, or Standard Insurance) and a series of outcome variables measuring access to and quality of all services along the available maternal healthcare continuum. RESULTS: Only 46.5% of women across all insurance schemes reported having accessed effective ANC prevention. Findings from the adjusted logistic regression confirmed that insured women were more likely to have accessed ANC services compared with uninsured women. Our findings indicate that women in the "SIS" group were more likely to have accessed six ANC visits (aOR = 1.40; 95% CI 1.14-1.73) as well as effective ANC prevention (aOR = 1.32; 95% CI 1.17-1.48), ANC education (aOR = 1.59; 95% CI 1.41-1.80) and ANC screening (aOR = 1.46; 95% CI 1.27-1.69) during pregnancy, compared with women in the "Standard Insurance" group [aOR = 1.35 (95% CI 1.13-1.62), 1.22 (95% CI 1.04-1.42), 1.34 (95% CI 1.18-1.51) and 1.31(95% CI 1.15-1.49)] respectively. In addition, women in the "Standard Insurance" group were more likely to have received skilled attendance at birth (aOR = 2.17, 95% CI 1.33-3.55) compared with the women in the "SIS" insurance group (aOR = 2.12; 95% CI 1.41-3.17). CONCLUSIONS: Our findings indicate the persistence of inequities in access to maternal healthcare services that manifest themselves not only in the reduced utilization among the uninsured, but also in the lower quality of service coverage that uninsured women received compared with women insured under "Standard Insurance" or "SIS". Further policy reforms are needed both to expand insurance coverage and to ensure that all women receive the same access to care irrespective of their specific insurance coverage.

Effects of the Indian National Health Insurance Scheme (PM-JAY) on Hospitalizations, Out-of-pocket Expenditures and Catastrophic Expenditures.

India launched one of the world's largest health insurance programs, the Pradhan Mantri Jan Arogya Yojana (PM-JAY), targeting more than 500 million economically and socially disadvantaged Indians. PM-JAY is publicly funded and covers hospitalization costs in public and private facilities. We examine how PM-JAY has affected hospitalizations and out-of-pocket expenditures (OOPE), and given the high use of private health care in India, we compare these outcomes across public and private facilities. We conducted a household survey to collect data on socioeconomic and demographic information, health status and hospitalizations for more than 57,000 PM-JAY eligible individuals in six Indian states. Using multivariate regression models, we estimated whether PM-JAY was associated with any changes in hospitalizations, OOPE and catastrophic health expenditures (CHE) and whether these differed across public and private facilities. We found that PM-JAY was not associated with an increase in hospitalizations, but it increased the probability of visiting a private facility by 4.6% points (p < .05). PM-JAY was associated with a relative reduction of 13% in OOPE (p < .1) and 21% in CHE (p < .01). This was entirely driven by private facilities, where relative OOPE was reduced by 17% (p < .01) and CHE by 19% (p < .01). This implied that PM-JAY has shifted use from public to private hospitalizations. Given the complex healthcare system with the presence of parallel public and private systems in India, our study concludes that for economically and socially disadvantaged groups, PM-JAY contributes to improved access to secondary and tertiary care services from private providers.

What Factors Explain Low Adoption of Digital Technologies for Health Financing in an Insurance Setting? Novel Evidence From a Quantitative Panel Study on IMIS in Tanzania.

BACKGROUND: Digital information management systems for health financing are implemented on the assumption thatdigitalization, among other things, enables strategic purchasing. However, little is known about the extent to which thesesystems are adopted as planned to achieve desired results. This study assesses the levels of, and the factors associated withthe adoption of the Insurance Management Information System (IMIS) by healthcare providers in Tanzania. METHODS: Combining multiple data sources, we estimated IMIS adoption levels for 365 first-line health facilities in2017 by comparing IMIS claim data (verified claims) with the number of expected claims. We defined adoption as abinary outcome capturing underreporting (verified

Nutritional status of children under five years and associated factors in 24 districts of Burkina Faso.

Malnutrition in children is a serious health problem, especially in Sub-Saharan Africa, with heavy socioeconomic burdens. The prevalence of stunting remains high in Burkina Faso. There is a need to further investigate undernutrition and identify the major factors contributing to its persistence. We aimed to assess the nutritional status of children aged under five years and the associated factors of undernutrition in Burkina Faso. We conducted a second study using a baseline household survey of the impact assessment of a performance-based financing program. The analysis focused on data of 10,032 children aged 0-59 months collected from households in 537 villages. Anthropometric indicators were assessed using the World Health Organization standards, and their association with children, mothers, and households' characteristics were assessed using logistic regression. Stunting occurred in 40.1% of children, wasting in 25.1%, and underweight in 34%. Children having both stunting, wasting, and underweight were 7.3%. Stunting and underweight was associated with the sex. Stunting was associated with ethnic groups: Fulani with AdjOR = 1.20 (95%CI: 1.01-1.42), household economic level: poorest AdjOR = 1.25 (95%CI: 1.10-1.43), two and more children aged under five years in households: AdjOR = 1.16 (95%CI: 1.05-1.27), distance more than 5km from household to health facility: with Adj OR = 1.21 (95%CI: 1.10-1.35) and household food insecurity. This study identified the modifiable factors that determine the high prevalence of undernutrition in Burkina Faso. Strategies and interventions to improve the health and economic status of the community are needed to reduce the occurrence of undernutrition.

Evaluation of the Ghana Heart Initiative - Design and Rationale of a Pragmatic Mixed-Methods Study from Diverse Perspectives: A Study Protocol.

Background: Rigorous evaluations of health system interventions to strengthen hypertension and cardiovascular disease (CVD) care remain scarce in sub-Saharan Africa. This study aims to evaluate the reach, effectiveness, adoption / acceptability, implementation fidelity, cost, and sustainability of the Ghana Heart Initiative (GHI), a multicomponent supply-side intervention to improve cardiovascular health in Ghana. Methods: This study adopts a mixed- and multi-methods design comparing the effects of the GHI in 42 intervention health facilities (i.e. primary, secondary and tertiary) in the Greater Accra Region versus 56 control health facilities in the Central and Western Regions. The evaluation design is guided by the RE-AIM framework underpinned by the WHO health systems building blocks framework, integrated by the Institute of Medicine's six dimensions of health care quality: safe, effective, patient-centered, timely, effi cient, equitable. The assessment tools include: (i) a health facility survey, (ii) a healthcare provider survey assessing the knowledge, attitudes, and practices on hypertension and CVD management, (iii) a patient exit survey, (iv) an outpatient and in-patient medical record review and (v) qualitative interviews with patients and various health system stakeholders to understand the barriers and facilitators around the implementation of the GHI. In addition to primary data collection, the study also relies on secondary routine health system data, i.e., the District Health Information Management System to conduct an interrupted time series analysis using monthly counts for relevant hypertension and CVD specific indicators as outcomes. The primary outcome measures are performance of health service delivery indicators, input, process and outcome of care indicators (including screening of hypertension, newly diagnosed hypertension, prescription of guideline directed medical therapy, and satisfaction with service received and acceptability) between the intervention and control facilities. Lastly, an economic evaluation and budget impact analysis is planned to inform the nationwide scale-up of the GHI. Discussion: This study will generate policy-relevant data on the reach, effectiveness, implementation fidelity, adoption / acceptability, and sustainability of the GHI, and provide insights on the costs and budget-impacts to inform nation-wide scale-up to expand the GHI to other regions across Ghana and offer lessons to other low- and middle-income countries settings as well. RIDIE Registration Number: RIDIE-STUDY-ID-6375e5614fd49 (https://ridie.3ieimpact.org/index.php).

Implementation of PM-JAY in India: a qualitative study exploring the role of competency, organizational and leadership drivers shaping early roll-out of publicly funded health insurance in three Indian states.

BACKGROUND: The Pradhan Mantri Jan Arogya Yojana (PM-JAY), a publicly funded health insurance scheme, was launched in India in September 2018 to provide financial access to health services for poor Indians. PM-JAY design enables state-level program adaptations to facilitate implementation in a decentralized health implementation space. This study examines the competency, organizational, and leadership approaches affecting PM-JAY implementation in three contextually different Indian states. METHODS: We used a framework on implementation drivers (competency, organizational, and leadership) to understand factors facilitating or hampering implementation experiences in three PM-JAY models: third-party administrator in Uttar Pradesh, insurance in Chhattisgarh, and hybrid in Tamil Nadu. We adopted a qualitative exploratory approach and conducted 92 interviews with national, state, district, and hospital stakeholders involved in program design and implementation in Delhi, three state capitals, and two anonymized districts in each state, between February and April 2019. We used a deductive approach to content analysis and interpreted coded material to identify linkages between organizational features, drivers, and contextual elements affecting implementation. RESULTS AND CONCLUSION: PM-JAY guideline flexibilities enabled implementation in very different states through state-adapted implementation models. These models utilized contextually relevant adaptations for staff and facility competencies and organizational and facilitative administration, which had considerable scope for improvement in terms of recruitment, competency development, programmatic implementation support, and rationalizing the joint needs of the program and implementers. Adaptations also created structural barriers in staff interactions and challenged implicit power asymmetries and organizational culture, indicating a need for aligning staff hierarchies and incentive structures. At the same time, specific adaptations such as decentralizing staff selection and task shifting (all models); sharing of claims processing between the insurer and state agency (insurance and hybrid model); and using stringent empanelment, accreditation, monitoring, and benchmarking criteria for performance assessment, and reserving secondary care benefit packages for public hospitals (both in the hybrid model) contributed to successful implementation. Contextual elements such as institutional memory of previous schemes and underlying state capacities influenced all aspects of implementation, including leadership styles and autonomy. These variations make comparisons across models difficult, yet highlight constraints and opportunities for cross-learning and optimizing implementation to achieve universal health coverage in decentralized contexts.

Improving the readiness and clinical quality of antenatal care - findings from a quasi-experimental evaluation of a performance-based financing scheme in Burkina Faso.

BACKGROUND: While maternal mortality has declined globally, it remains highest in low-income countries. High-quality antenatal care (ANC) can prevent or decrease pregnancy-related complications for mothers and newborns. The implementation of performance-based financing (PBF) schemes in Sub-Saharan Africa to improve primary healthcare provision commonly includes financial indicators linked to ANC service quality indicators. In this study, we examine changes in ANC provision produced by the introduction of a PBF scheme in rural Burkina Faso. METHODS: This study followed a quasi-experimental design with two data collection points comparing effects on ANC service quality between primary health facilities across intervention and control districts based on difference-in-differences estimates. Performance scores were defined using data on structural and process quality of care reflecting key clinical aspects of ANC provision related to screening and prevention pertaining to first and follow-up ANC visits. RESULTS: We found a statistically significant increase in performance scores by 10 percent-points in facilities' readiness to provide ANC services. The clinical care provided to different ANC client groups scored generally low, especially with respect to preventive care measures, we failed to observe any substantial changes in the clinical provision of ANC care attributable to the PBF. CONCLUSION: The observed effect pattern reflects the incentive structure implemented by the scheme, with a stronger focus on structural elements compared with clinical aspects of care. This limited the scheme's overall potential to improve ANC provision at the client level after the observed three-year implementation period. To improve both facility readiness and health worker performance, stronger incentives are needed to increase adherence to clinical standards and patient care outcomes.

Examining the relationship between armed conflict and coverage of maternal and child health services in 35 countries in sub-Saharan Africa: a geospatial analysis.

BACKGROUND: Armed conflict is on the rise in sub-Saharan Africa and affects public infrastructures, including health systems, although evidence on population health is sparse. We aimed to establish how these disruptions ultimately affect health service coverage. METHODS: We geospatially matched Demographic and Health Survey data with the Uppsala Conflict Data Program Georeferenced Events Dataset, covering 35 countries for the period from 1990 to 2020. We relied on linear probability models with fixed effects to capture the effect of nearby armed conflict (within 50 km of the survey cluster) on four service coverage indicators along the continuum of maternal and child health care. We also investigated effect heterogeneity by varying conflict intensity and duration, and sociodemographic status. FINDINGS: The estimated coefficients represent the decrease in the probability (in percentage points) of the child or their mother being covered by the respective health service following deadly conflicts within 50 km. Any nearby armed conflict was associated with reduced coverage for all examined health services, with the exception of early antenatal care: early antenatal care (-0·5 percentage points, 95% CI -1·1 to 0·1), facility-based delivery (-2·0, -2·5 to -1·4), timely childhood vaccination (-2·5, -3·1 to -1·9), and treatment of common childhood illnesses (-2·5, -3·5 to -1·4). For all four health services, the negative effects increased for high-intensity conflicts and were significant throughout. When examining conflict duration, we did not find negative effects on the treatment of common childhood illnesses in prolonged conflicts. The analysis on effect heterogeneity revealed that, except for timely childhood vaccination, the negative effects of armed conflict on health service coverage were more pronounced in urban settings. INTERPRETATION: Our findings suggest that health service coverage is significantly affected by contemporaneous conflict, but health systems can adapt to provide routine services, such as child curative services, in situations of prolonged conflict. Our analysis underlines the importance of studying health service coverage during conflict both at the finest possible scales and across different indicators, pointing at the need for differential policy interventions. FUNDING: None. TRANSLATIONS: For the French and Portuguese translations of the abstract see Supplementary Materials section.

Do Out-of-Pocket Payments for Care for Children under 5 Persist Even in a Context of Free Healthcare in Burkina Faso? Evidence from a Cross-Sectional Population-Based Survey.

BACKGROUND: In April 2016, Burkina Faso began free healthcare for children aged from 0 to 5 years. However, its implementation faces challenges, and the goal of this study is to estimate the fees paid for this child care and to determine the causes of these direct payments. METHODS: Data gathering involved 807 children aged from 0 to 5 years who had contact with the public healthcare system. The estimation of the determinants of out-of-pocket health payments involved the application of a two-part regression model. RESULTS: About 31% of the children made out-of-pocket payments for healthcare (an average of 3407.77 CFA francs per case of illness). Of these, 96% paid for medicines and 24% paid for consultations. The first model showed that out-of-pocket payments were positively associated with hospitalization, urban area of residence, and severity of illness, were made in the East-Central and North-Central regions, and were negatively associated with the 7 to 23 month age range. The second model showed that hospitalization and severity of illness increased the amount of direct health payments. CONCLUSION: Children targeted by free healthcare still make out-of-pocket payments. The dysfunction of this policy needs to be studied to ensure adequate financial protection for children in Burkina Faso.

Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial.

BACKGROUND: The COVID-19 pandemic is characterized by rapid increases in infection burden owing to the emergence of new variants with higher transmissibility and immune escape. To date, monitoring the COVID-19 pandemic has mainly relied on passive surveillance, yielding biased epidemiological measures owing to the disproportionate number of undetected asymptomatic cases. Active surveillance could provide accurate estimates of the true prevalence to forecast the evolution of the pandemic, enabling evidence-based decision-making. OBJECTIVE: This study compared 4 different approaches of active SARS-CoV-2 surveillance focusing on feasibility and epidemiological outcomes. METHODS: A 2-factor factorial randomized controlled trial was conducted in 2020 in a German district with 700,000 inhabitants. The epidemiological outcome comprised SARS-CoV-2 prevalence and its precision. The 4 study arms combined 2 factors: individuals versus households and direct testing versus testing conditioned on symptom prescreening. Individuals aged ≥7 years were eligible. Altogether, 27,908 addresses from 51 municipalities were randomly allocated to the arms and 15 consecutive recruitment weekdays. Data collection and logistics were highly digitized, and a website in 5 languages enabled low-barrier registration and tracking of results. Gargle sample collection kits were sent by post. Participants collected a gargle sample at home and mailed it to the laboratory. Samples were analyzed with reverse transcription loop-mediated isothermal amplification (RT-LAMP); positive and weak results were confirmed with real-time reverse transcription-polymerase chain reaction (RT-PCR). RESULTS: Recruitment was conducted between November 18 and December 11, 2020. The response rates in the 4 arms varied between 34.31% (2340/6821) and 41.17% (2043/4962). The prescreening classified 16.61% (1207/7266) of the patients as COVID-19 symptomatic. Altogether, 4232 persons without prescreening and 7623 participating in the prescreening provided 5351 gargle samples, of which 5319 (99.4%) could be analyzed. This yielded 17 confirmed SARS-CoV-2 infections and a combined prevalence of 0.36% (95% CI 0.14%-0.59%) in the arms without prescreening and 0.05% (95% CI 0.00%-0.108%) in the arms with prescreening (initial contacts only). Specifically, we found a prevalence of 0.31% (95% CI 0.06%-0.58%) for individuals and 0.35% (95% CI 0.09%-0.61%) for households, and lower estimates with prescreening (0.07%, 95% CI 0.0%-0.15% for individuals and 0.02%, 95% CI 0.0%-0.06% for households). Asymptomatic infections occurred in 27% (3/11) of the positive cases with symptom data. The 2 arms without prescreening performed the best regarding effectiveness and accuracy. CONCLUSIONS: This study showed that postal mailing of gargle sample kits and returning home-based self-collected liquid gargle samples followed by high-sensitivity RT-LAMP analysis is a feasible way to conduct active SARS-CoV-2 population surveillance without burdening routine diagnostic testing. Efforts to improve participation rates and integration into the public health system may increase the potential to monitor the course of the pandemic. TRIAL REGISTRATION: Deutsches Register Klinischer Studien (DRKS) DRKS00023271; https://tinyurl.com/3xenz68a. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-021-05619-5.

Stress and coping in the face of COVID-19: a qualitative inquiry into early pandemic experiences and psychological well-being of health workers in Burkina Faso, Senegal and The Gambia.

COVID-19 represented an unprecedented challenge for health workers around the world, resulting in strong concerns about impacts on their psychological well-being. To inform on-going support and future preparedness activities, this study documented health workers' experiences, well-being and coping throughout the first wave of the pandemic, in Burkina Faso, Senegal and The Gambia. We collected data from 68 primarily clinical staff from the COVID-19 treatment, maternity and emergency departments in 13 purposely hospitals and laboratories across the three countries. Following in-depth interviews via Zoom (mid-May to September 2020), we regularly followed up via WhatsApp until the end of 2020. We used a mixed deductive and inductive coding approach and a framework matrix to organize and analyse the material. All respondents initially assessed the situation as stressful and threatening. Major emotional reactions included fear of own infection, fear of being a risk to loved ones, guilt, compassion, and anxiety regarding the future. Many suffered from feeling left alone with the emerging crisis and feeling unvalued and unappreciated, particularly by their governments and ministries of health. Conversely, health workers drew much strength from support and valuation by direct supervisors and team members and, in part, also by patients, friends and family. We observed important heterogeneity between places of work and individual backgrounds. Respondents coped with the situation in various ways, particularly with strategies to manage adverse emotions, to minimize infection risk, to fortify health and to find meaning in the adverse circumstances. Coping strategies were primarily grounded in own resources rather than institutional support. Over time, the situation normalized and fears diminished for most respondents. With a view towards emergency preparedness, our findings underline the value of participation and transparent communication, institutional support and routine training to foster health workers' psychological preparedness, coping skill set and resilience more generally.

Scalable RT-LAMP-based SARS-CoV-2 testing for infection surveillance with applications in pandemic preparedness.

Throughout the SARS-CoV-2 pandemic, limited diagnostic capacities prevented sentinel testing, demonstrating the need for novel testing infrastructures. Here, we describe the setup of a cost-effective platform that can be employed in a high-throughput manner, which allows surveillance testing as an acute pandemic control and preparedness tool, exemplified by SARS-CoV-2 diagnostics in an academic environment. The strategy involves self-sampling based on gargling saline, pseudonymized sample handling, automated RNA extraction, and viral RNA detection using a semiquantitative multiplexed colorimetric reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay with an analytical sensitivity comparable with RT-qPCR. We provide standard operating procedures and an integrated software solution for all workflows, including sample logistics, analysis by colorimetry or sequencing, and communication of results. We evaluated factors affecting the viral load and the stability of gargling samples as well as the diagnostic sensitivity of the RT-LAMP assay. In parallel, we estimated the economic costs of setting up and running the test station. We performed > 35,000 tests, with an average turnover time of < 6 h from sample arrival to result announcement. Altogether, our work provides a blueprint for fast, sensitive, scalable, cost- and labor-efficient RT-LAMP diagnostics, which is independent of potentially limiting clinical diagnostics supply chains.

Cost and cost-effectiveness of four different SARS-CoV-2 active surveillance strategies: evidence from a randomised control trial in Germany.

INTRODUCTION: The COVID-19 pandemic has entered its third year and continues to affect most countries worldwide. Active surveillance, i.e. testing individuals irrespective of symptoms, presents a promising strategy to accurately measure the prevalence of SARS-CoV-2. We aimed to identify the most cost-effective active surveillance strategy for COVID-19 among the four strategies tested in a randomised control trial between 18th November 2020 and 23rd December 2020 in Germany. The four strategies included: (A1) direct testing of individuals; (A2) direct testing of households; (B1) testing conditioned on upstream COVID-19 symptom pre-screening of individuals; and (B2) testing conditioned on upstream COVID-19 symptom pre-screening of households. METHODS: We adopted a health system perspective and followed an activity-based approach to costing. Resource consumption data were collected prospectively from a digital individual database, daily time records, key informant interviews and direct observations. Our cost-effectiveness analysis compared each strategy with the status quo and calculated the average cost-effective ratios (ACERs) for one primary outcome (sample tested) and three secondary outcomes (responder recruited, case detected and asymptomatic case detected). RESULTS: Our results showed that A2, with cost per sample tested at 52,89 EURO, had the lowest ACER for the primary outcome, closely followed by A1 (63,33 EURO). This estimate was much higher for both B1 (243,84 EURO) and B2 (181,06 EURO). CONCLUSION: A2 (direct testing at household level) proved to be the most cost-effective of the four evaluated strategies and should be considered as an option to strengthen the routine surveillance system in Germany and similar settings.

Factors Affecting the Successful Implementation of a Digital Intervention for Health Financing in a Low-Resource Setting at Scale: Semistructured Interview Study With Health Care Workers and Management Staff.

BACKGROUND: Digital interventions for health financing, if implemented at scale, have the potential to improve health system performance by reducing transaction costs and improving data-driven decision-making. However, many interventions never reach sustainability, and evidence on success factors for scale is scarce. The Insurance Management Information System (IMIS) is a digital intervention for health financing, designed to manage an insurance scheme and already implemented on a national scale in Tanzania. A previous study found that the IMIS claim function was poorly adopted by health care workers (HCWs), questioning its potential to enable strategic purchasing and succeed at scale. OBJECTIVE: This study aimed to understand why the adoption of the IMIS claim function by HCWs remained low in Tanzania and to assess implications for use at scale. METHODS: We conducted 21 semistructured interviews with HCWs and management staff in 4 districts where IMIS was first implemented. We sampled respondents by using a maximum variation strategy. We used the framework method for data analysis, applying a combination of inductive and deductive coding to organize codes in a socioecological model. Finally, we related emerging themes to a framework for digital health interventions for scale. RESULTS: Respondents appreciated IMIS's intrinsic software characteristics and technical factors and acknowledged IMIS as a valuable tool to simplify claim management. Human factors, extrinsic ecosystem, and health care ecosystem were considered as barriers to widespread adoption. CONCLUSIONS: Digital interventions for health financing, such as IMIS, may have the potential for scale if careful consideration is given to the environment in which they are placed. Without a sustainable health financing environment, sufficient infrastructure, and human capacity, they cannot unfold their full potential to improve health financing functions and ultimately contribute to universal health coverage.

Quantitative Methods Used to Evaluate Impact of Combination HIV Prevention Intervention: A Methodological Systematic Review.

Combination HIV prevention aims to provide the right mix of biomedical, behavioral and structural interventions, and is considered the best approach to curb the HIV pandemic. The impact evaluation of combined HIV prevention intervention (CHPI) provides critical information for decision making. We conducted a systematic review of the literature to map the designs and methods used in these studies. We searched original articles indexed in Web of Science, Scopus and PubMed. Fifty-eight studies assessing the impact of CHPI on HIV transmission were included. Most of the studies took place in Asia or sub-Saharan Africa and were published from 2000 onward. We identified 36 (62.1%) quasi-experimental studies (posttest, pretest-posttest and nonequivalent group designs) and 22 (37.9%) experimental studies (randomized designs). The findings suggest that diverse methods are already rooted in CHPI impact evaluation practices as recommended but should be better reported. CHPI impact evaluation would benefit from more comprehensive approaches.