Background Maternal and neonatal outcomes in, Kakamega County is characterized by a maternal mortality rate of 316 per 100,000 live births and a neonatal mortality rate of 19 per 1,000 live births. In 2018, approximately 70,000 births occurred in the county, with 35% at home, 28% in primary care facilities, and 37% in hospitals. A maternal and child health service delivery redesign (SDR) that aims to reorganize maternal and newborn health services is being implemented in Kakamega County in Kenya to improve the progress of these indicators. Research has shown that women’s ability to make decisions (voice, agency, and autonomy) is critical for gender equality, empowerment and an important determinant of access and utilization. As part of the Kakamega SDR process evaluation, this study sought to understand women’s processes of decision-making in seeking maternal health care and how these affect women’s ability to access and use antenatal, delivery, and post-natal services. Methods We adapted the International Centre for Research on Women (ICRW) conceptual framework for reproductive empowerment to focus on the interrelated concepts of “female autonomy”, and “women’s agency” with the latter incorporating ‘voice’, ‘choice’ and ‘power’. Our adaptation did not consider the influence of sexual relationships and leadership on SRH decision-making. We conducted key informant interviews, in-depth interviews, small group interviews and focus group discussions with pregnant women attending Antenatal clinics, women who had delivered, women attending post-natal clinics, and men in Kakamega County. A thematic analysis approach was used to analyze the data in NVivo 12. Results The results revealed notable findings across three dimensions of agency. Women with previous birthing experiences, high self-esteem, and support from their social networks exhibited greater agency. Additionally, positive previous birthing experiences were associated with increased confidence in making reproductive health choices. Women who had control over financial resources and experienced respectful communication with their partners exhibited higher levels of agency within their households. Distance relational agency demonstrated the impact of health system factors and socio-cultural norms on women’s agency and autonomy. Finally, women who faced barriers such as long waiting times or limited staff availability experienced reduced agency in seeking healthcare. Conclusions Individual agency, immediate relational agency, and distance relational agency all play crucial roles in shaping women’s decision-making power and control over their utilization of maternal health services. This study offers valuable insights that can guide the ongoing implementation of an innovative service delivery redesign model, emphasizing the critical need for developing context-specific strategies to promote women’s voices for sustained use.

Objective To estimate the economic costs of selected tobacco-related illnesses (TRI) in Kenya in 2022. Research Design and Methods This study was conducted in 2 phases. Phase 1, conducted between 2021 and 2022, entailed conducting a cross-sectional study conducted in 4 national public referral hospitals in Kenya. Patients with cardiovascular disease, cancer, chronic obstructive pulmonary disease, or tuberculosis were interviewed to compute the indirect and direct medical costs related to the illness. Activity-Based Costing approach was used to capture costs for services along the continuum of care pathway. In the second phase, the Tobacco Attributable Factor was used to estimate the direct, indirect, and ultimately economic cost due to tobacco smoking. Results The estimated health care cost attributed to tobacco use in Kenya is US$396,107,364. Among TRIs included in the study, myocardial infarction had the highest health care cost at US$158,687,627, followed by peripheral arterial disease and stroke with health care cost of US$64,723,181 and US$44,746,700 respectively. The main cost driver across all the illnesses is the cost for medication accounting for over 90% of the total health care cost. The productivity losses from the diseases ranged between US$148 to US$360 and accounted for 27% to 48% of the economic costs. The total cost attributable to tobacco use to Kenya’s economy for the selected TRIs was between US$544.74 million and US$756.22 million. Conclusions/interpretation Tobacco related illnesses impose a significant economic burden as reported for direct and indirect costs. These findings underscore the need for strengthened implementation of the provision of the Framework Convention on Tobacco Control and the Tobacco Control Act (2007) to facilitate a reduction in tobacco consumption in the population.

A health systems reform known as Service Delivery Redesign (SDR) for maternal and newborn health seeks to make high-quality delivery care universal in Kakamega County, in western Kenya, by strengthening hospital-level care and making hospital deliveries the default option for pregnant women. Using a large prospective survey of new mothers in Kakamega County, we examine several key assumptions that underpin the SDR policy's theory of change. We analyse data on place of delivery, travel time and distance, out-of-pocket spending, and self-reported quality of care for 19 127 women prospectively enrolled during antenatal care (ANC) and surveyed two times after their delivery. We analyze changes in womens' delivery location preferences in recent years in Kakamega, and over the course of their most recent pregnancy. We also evaluate travel time, out-of-pocket expenditures and patient satisfaction for women who deliver in public hospitals vs primary health centres. We find substantial changes in delivery location at the population level over time and for individual women over the course of pregnancy. Facility delivery has increased from 50.4% in 2010 to 89.5% in 2019; 70% of respondents deliver at a different facility than their reported intention at ANC. Out-of-pocket delivery expenditures are on average 1351 Kenyan shillings (Ksh) in hospitals compared to 964 Ksh in PHC (primary health care)s (P < 0.01). Transport expenditures are 337 Ksh for PHC level deliveries vs 422 Ksh for hospitals (P < 0.01). Self-reported average travel time is 51 min (PHC delivery) vs 47 min (hospital delivery) (P = 0.78). The average distance to a delivery location is 15.1 km for PHC deliveries vs 15.2 km for hospitals (P = 0.99). There were no differences in overall patient-reported quality scores, while some subcomponents of quality favoured hospitals. These findings support several key assumptions of the SDR theory of change in Kakamega County, while also highlighting important challenges that should be addressed to increase the likelihood of successful implementation.

BACKGROUND:Primary healthcare (PHC) systems attain improved health outcomes and fairness and are affordable. However, the proportion of PHC spending to Total Current Health Expenditure in Kenya reduced from 63.4% in 2016/17 to 53.9% in 2020/21 while external funding reduced from 28.3% (Ksh 69.4 billion) to 23.9% (Ksh 68.2 billion) over the same period. This reduction in PHC spending negatively affects PHC performance and the overall health system goals.METHODS:We conducted a cost-benefit analysis and computed costs against the economic benefits of a PHC scale-up. Activity-Based Costing (ABC) on the provider perspective was employed to estimate the incremental costs. The OneHealth Tool was used to estimate the health impact of operationalizing PHC over five years. Finally, we quantified Return on Investment (ROI) by estimating monetized DALYs based on a constant value per statistical life year (VSLY) derived from a VSL estimate.RESULTS:The total projected cost of PHC interventions in the Kenya was Ksh 1.65 trillion (USD 15,581.91 billion). Human resource was the main cost driver accounting for 75% of the total cost. PHC investments avert 64,430,316 Disability Adjusted Life-Years (DALYs) and generate cost savings of Ksh. 21.5 trillion (USD 204.4 Billion) over five years. Shifting services from high-level facilities to PHC facilities generates Ksh 198.2 billion (USD 1.9 billion) and yields a benefit-cost ratio of 16:1 in 5 years. Thus, every $1 invested in PHC interventions saves up to $16 in spending on conditions like stunting, NCDs, anaemia, TB, Malaria, and maternal and child health morbidity.CONCLUSIONS:Evidence of the economic benefits of continued prioritization of funding for PHC can strengthen the advocacy argument for increased domestic and external financing of PHC in Kenya. A well-resourced and functional PHC system translates to substantial health benefits with positive economic benefits. Therefore, governments and stakeholders should increase investments in PHC to accelerate economic growth.

Abstract Background A maternal and child health service delivery redesign (SDR) that aims to reorganize maternal and newborn health services is being implemented in Kakamega County in Kenya. Women's voice, agency, and autonomy are critical aspects of gender equality and women's empowerment since women’s ability to make decisions alone or in consultation with others in the household is an important determinant of access and utilization. As part of the process evaluation, this study sought to understand women’s process of decision-making in seeking maternal health care and how these affect women’s ability to access and use these services. Methods We adapted the International Centre for Research on Women (ICRW) conceptual framework for reproductive empowerment that combines the interrelated concepts of “female autonomy”, and “women’s agency” with the latter incorporating ‘voice’, ‘choice’ and ‘power’. We conducted key informant interviews, in-depth interviews, and focus group discussions with pregnant women attending Antenatal clinics, women who had delivered, and women attending post-natal clinics. A thematic analysis approach was used to analyze the data in NVivo 12. Results The results revealed significant findings across three dimensions of agency. Women with previous birthing experiences, high self-esteem, and support from their social networks exhibited greater agency. Additionally, positive previous birthing experiences were associated with increased confidence in making reproductive health choices. Women who had control over financial resources and experienced respectful communication with their partners exhibited higher levels of agency within their households. Distance relational agency demonstrated the impact of health system factors and socio-cultural norms on women's agency and autonomy. Finally, women who faced barriers such as long waiting times or limited staff availability experienced reduced agency in seeking healthcare. Conclusions Individual agency, immediate relational agency, and distance relational agency all play crucial roles in shaping women's decision-making power and control over their utilization of maternal health services. By identifying specific determinants within each dimension, this study provides valuable insights that can provide guidance for the ongoing implementation of an innovative service delivery redesign model by emphasizing the critical need for developing holistic and context-specific strategies to promote women's voices to ensure acceptability and sustained use.

IntroductionPreterm birth is a leading cause of under-5 mortality, with the greatest burden in lower-resource settings. Strategies to improve preterm survival have been tested, but strategy costs are less understood. We estimate costs of a highly effective Preterm Birth Initiative (PTBi) intrapartum intervention package (data strengthening, WHO Safe Childbirth Checklist, simulation and team training, quality improvement collaboratives) and active control (data strengthening, Safe Childbirth Checklist).MethodsIn our analysis, we estimated costs incremental to current cost of intrapartum care (in 2020 $US) for the PTBi intervention package and active control in Kenya and Uganda. We costed the intervention package and control in two scenarios: 1) non-research implementation costs as observed in the PTBi study (Scenario 1, mix of public and private inputs), and 2) hypothetical costs for a model of implementation into Ministry of Health programming (Scenario 2, mostly public inputs). Using a healthcare system perspective, we employed micro-costing of personnel, supplies, physical space, and travel, including 3 sequential phases: program planning/adaptation (9 months); high-intensity implementation (15 months); lower-intensity maintenance (annual). One-way sensitivity analyses explored the effects of uncertainty in Scenario 2.ResultsScenario 1 PTBi package total costs were $1.11M in Kenya ($48.13/birth) and $0.74M in Uganda ($17.19/birtth). Scenario 2 total costs were $0.86M in Kenya ($23.91/birth) and $0.28M in Uganda ($5.47/birth); annual maintenance phase costs per birth were $16.36 in Kenya and $3.47 in Uganda. In each scenario and country, personnel made up at least 72% of total PTBi package costs. Total Scenario 2 costs in Uganda were consistently one-third those of Kenya, largely driven by differences in facility delivery volume and personnel salaries.ConclusionsIf taken up and implemented, the PTBi package has the potential to save preterm lives, with potential steady-state (maintenance) costs that would be roughly 5-15% of total per-birth healthcare costs in Uganda and Kenya.

Background The Coronavirus disease 2019 (COVID-19) resulted in the disruption of Sexual and Reproductive Health Rights (SRHR) services in the Eastern and Southern Africa region. To date, studies estimating the impact of COVID-19 disruptions have mainly focused on SRHR services without estimating the economic implication. Method We used national service coverage data on the effectiveness of interventions from the lives saved tool (LiST), a mathematical modeling tool that estimates the effects of service coverage change in mortality. We computed years lost due to COVID-19 disruption on SRHR using life expectancy at birth, number of years of life lost due to child mortality, and life expectancy at average maternal death. We calculated the economic value of the lives saved, using the values of statistical life year for each of the countries, comparing 2019 (pre-COVID-19) to 2020 (COVID-19 era). Findings The total life-years lost were 1,335,663, with 1,056,174 life-years lost attributed to child mortality and 279,249 linked to maternal mortalities, with high case-fatality rates in the Democratic Republic of Congo, Burundi, and Tanzania. The findings show COVID-19 disruptions on SRHR services between 2019 and 2020 resulted in US$ 3.6 billion losses, with the highest losses in Angola (USD 777 million), South Africa (USD 539 million), and Democratic Republic of Congo (USD 361 million). Conclusion The monetized value of disability adjusted life years can be used as evidence for advocacy, increased investment, and appropriate mitigation strategies. Countries should strengthen their health systems functionality, incorporating and transforming lessons learned from shock events.

Objective To characterize the efficiency of screening through high-volume community health campaigns (CHCs) by comparing the costs and population reach and identify factors associated with gains in efficiency. Access to effective cervical cancer screening remains limited in low-resource settings, especially in rural areas. Periodic CHCs are a novel method of offering screening for HPV at lower costs and higher population coverage than health facilities. Methods A micro-costing study was conducted within a cervical cancer screening trial to measure efficiency (cost per woman screened) and population uptake of HPV-based screening offered through CHCs in Migori County, Kenya between January and September 2016. Regression analysis assessed relationships between population size and efficiency. Structured observations and qualitative interviews identified implementation factors that affected efficiency in individual campaigns. Results Communities screening through CHCs had costs per woman screened ranging from US $22.06 to $30.21. Efficiency was directly correlated to overall numbers of women screened, but not to proportion of population screened. Modifiable factors that acted as context-specific facilitators and barriers with a potential impact on efficiency were identified. Conclusion There was substantial variation in efficiency among CHCs. Cultural factors, health beliefs, and poor coordination among implementation partners as potential key barriers to screening uptake were identified.

Background: Improving patient flow and reducing over-crowding can improve quality, promptness of care, and patient satisfaction. Given low utilization of preventive care in low-resource countries, improved patient flows are especially important in these settings. Objective: Compare patient flow and provider efficiency between two cervical cancer screening strategies via self-collected human papillomavirus (HPV). Methods: We collected time and motion data for patients screened for cervical cancer in 12 communities in rural Migori County, Kenya as part of a larger cluster randomized trial. Six communities were randomized to screening in community health campaigns (CHCs) and six to screening at government clinics. We quantified patient flow: duration spent on each active stage of screening and wait times, and the number of patients arriving at CHCs and clinics each hour of the day. In addition, for four CHCs, we collected time and motion data for providers, and measured provider efficiency as a ratio of active (service delivery) time to total time spent at the clinic. Results: Total duration of screening visits, at CHCs and clinics was 42 and 87 minutes, respectively (p < 0.001 for difference). Total active time lasted longer at CHCs, with a mean of 28 minutes per patient versus 15 minutes at clinics, largely due to differences in duration for group education (p < 0.001). Wait time for registration at clinics was 36 minutes, explaining most of the difference between settings, but sometimes incorporated other health services. Conclusions: There is a substantial difference in patient flow at clinics compared to CHCs. Shorter duration at CHCs suggests that the model is favorable for patients in limiting time spent on screening. Future cervical cancer screening programs designed for scale-up should consider how this advantage may enhance satisfaction and uptake. For clinic-based screening programs, efforts could be made towards reducing registration wait times.

Background Cervical cancer is the most frequent neoplasm among Kenyan women, with 4800 diagnoses and 2400 deaths per year. One reason is an extremely low rate of screening through pap smears, at 13.8% in 2014. Knowing the costs of screening will help planners and policymakers design, implement, and scale programs. Methods We conducted HPV-based cervical cancer screening via self-collection in 12 communities in rural Migori County, Kenya. Six communities were randomized to community health campaigns (CHCs), and six to screening at government clinics. All HPV-positive women were referred for cryotherapy at Migori County Hospital. We prospectively estimated direct costs from the health system perspective, using micro-costing methods. Cost data were extracted from expenditure records, staff interviews, and time and motion logs. Total costs per woman screening included three activities: outreach, HPV-based screening, and notification. Types of inputs include personnel, recurrent goods, capital goods, and services. We costed potential changes to implementation for scaling. Results From January to September 2016, 2899 women were screened in CHCs and 2042 in clinics. Each CHC lasted for 30 working days, 10 days each for outreach, screening, and notification. The mean cost per woman screened was $25.00 for CHCs [median: $25.09; Range: $22.06-30.21] and $29.56 for clinics [$28.90; $25.27-37.08]. Clinics had higher costs than CHCs for personnel ($14.27 vs. $11.26) and capital ($5.55 vs. $2.80). Screening costs were higher for clinics at $21.84, compared to $17.48 for CHCs. In contrast, CHCs had higher outreach costs ($3.34 vs. $0.17). After modeling a reduction in staffing, clinic per-screening costs ($25.69) were approximately equivalent to CHCs. Conclusions HPV-based cervical cancer screening through community health campaigns achieved lower costs per woman screened, compared to screening at clinics. Periodic high-volume CHCs appear to be a viable low-cost strategy for implementing cervical cancer screening.

The incidence of cervical cancer in Kenya is among the highest in the world. Few Kenyan women are able to access screening, thus fueling the high cervical cancer burden. Self-collected human papilloma Virus (HPV) tests, administered during community-health campaigns in rural areas may be a way to expand access to screening.