Quantifying the Cost of Shigella Diarrhea in the Enterics for Global Health (EFGH) Shigella Surveillance Study.

Background: Comparative costs of public health interventions provide valuable data for decision making. However, the availability of comprehensive and context-specific costs is often limited. The Enterics for Global Health (EFGH) Shigella surveillance study-a facility-based diarrhea surveillance study across 7 countries-aims to generate evidence on health system and household costs associated with medically attended Shigella diarrhea in children. Methods: EFGH working groups comprising representatives from each country (Bangladesh, Kenya, Malawi, Mali, Pakistan, Peru, and The Gambia) developed the study methods. Over a 24-month surveillance period, facility-based surveys will collect data on resource use for the medical treatment of an estimated 9800 children aged 6-35 months with diarrhea. Through these surveys, we will describe and quantify medical resources used in the treatment of diarrhea (eg, medication, supplies, and provider salaries), nonmedical resources (eg, travel costs to the facility), and the amount of caregiver time lost from work to care for their sick child. To assign costs to each identified resource, we will use a combination of caregiver interviews, national medical price lists, and databases from the World Health Organization and the International Labor Organization. Our primary outcome will be the estimated cost per inpatient and outpatient episode of medically attended Shigella diarrhea treatment across countries, levels of care, and illness severity. We will conduct sensitivity and scenario analysis to determine how unit costs vary across scenarios. Conclusions: Results from this study will contribute to the existing body of literature on diarrhea costing and inform future policy decisions related to investments in preventive strategies for Shigella.

Introduction of the Ellavi uterine balloon tamponade into the Kenyan and Ghanaian maternal healthcare package for improved postpartum haemorrhage management: an implementation research study.

OBJECTIVES: Use of intrauterine balloon tamponades for refractory postpartum haemorrhage (PPH) management has triggered recent debate since effectiveness studies have yielded conflicting results. Implementation research is needed to identify factors influencing successful integration into maternal healthcare packages. The Ellavi uterine balloon tamponade (UBT) (Ellavi) is a new low-cost, preassembled device for treating refractory PPH. DESIGN: A mixed-methods, prospective, implementation research study examining the adoption, sustainability, fidelity, acceptability and feasibility of introducing a newly registered UBT. Cross-sectional surveys were administered post-training and post-use over 10 months. SETTING: Three Ghanaian (district, regional) and three Kenyan (levels 4-6) healthcare facilities. PARTICIPANTS: Obstetric staff (n=451) working within participating facilities. INTERVENTION: PPH management training courses were conducted with obstetric staff. PRIMARY AND SECONDARY OUTCOME MEASURES: Facility measures of adoption, sustainability and fidelity and individual measures of acceptability and feasibility. RESULTS: All participating hospitals adopted the device during the study period and the majority (52%-62%) of the employed obstetric staff were trained on the Ellavi; sustainability and fidelity to training content were moderate. The Ellavi was suited for this context due to high delivery and PPH burden. Dynamic training curriculums led by local UBT champions and clear instructions on the packaging yielded positive attitudes and perceptions, and high user confidence, resulting in overall high acceptability. Post-training and post-use, ≥79% of the trainees reported that the Ellavi was easy to use. Potential barriers to use included the lack of adjustable drip stands and difficulties calculating bag height according to blood pressure. Overall, the Ellavi can be feasibly integrated into PPH care and was preferred over condom catheters. CONCLUSIONS: The training package and time saving Ellavi design facilitated its adoption, acceptability and feasibility. The Ellavi is appropriate and feasible for use among obstetric staff and can be successfully integrated into the Kenyan and Ghanaian maternal healthcare package. TRIAL REGISTRATION NUMBERS: NCT04502173; NCT05340777.

Costs of community-wide mass drug administration and school-based deworming for soil-transmitted helminths: evidence from a randomised controlled trial in Benin, India and Malawi.

OBJECTIVES: Current guidelines for the control of soil-transmitted helminths (STH) recommend deworming children and other high-risk groups, primarily using school-based deworming (SBD) programmes. However, targeting individuals of all ages through community-wide mass drug administration (cMDA) may interrupt STH transmission in some settings. We compared the costs of cMDA to SBD to inform decision-making about future updates to STH policy. DESIGN: We conducted activity-based microcosting of cMDA and SBD for 2 years in Benin, India and Malawi within an ongoing cMDA trial. SETTING: Field sites and collaborating research institutions. PRIMARY AND SECONDARY OUTCOMES: We calculated total financial and opportunity costs and costs per treatment administered (unit costs in 2019 USD ($)) from the service provider perspective, including costs related to community drug distributors and other volunteers. RESULTS: On average, cMDA unit costs were more expensive than SBD in India ($1.17 vs $0.72) and Malawi ($2.26 vs $1.69), and comparable in Benin ($2.45 vs $2.47). cMDA was more expensive than SBD in part because most costs (~60%) were 'supportive costs' needed to deliver treatment with high coverage, such as additional supervision and electronic data capture. A smaller fraction of cMDA costs (~30%) was routine expenditures (eg, drug distributor allowances). The remaining cMDA costs (~10%) were opportunity costs of staff and volunteer time. A larger percentage of SBD costs was opportunity costs for teachers and other government staff (between ~25% and 75%). Unit costs varied over time and were sensitive to the number of treatments administered. CONCLUSIONS: cMDA was generally more expensive than SBD. Accounting for local staff time (volunteers, teachers, health workers) in community programmes is important and drives higher cost estimates than commonly recognised in the literature. Costs may be lower outside of a trial setting, given a reduction in supportive costs used to drive higher treatment coverage and economies of scale. TRIAL REGISTRATION NUMBER: NCT03014167.

Costing interventions in the field: preliminary cost estimates and lessons learned from an evaluation of community-wide mass drug administration for elimination of soil-transmitted helminths in the DeWorm3 trial.

OBJECTIVE: To present a costing study integrated within the DeWorm3 multi-country field trial of community-wide mass drug administration (cMDA) for elimination of soil-transmitted helminths. DESIGN: Tailored data collection instruments covering resource use, expenditure and operational details were developed for each site. These were populated alongside field activities by on-site staff. Data quality control and validation processes were established. Programmed routines were used to clean, standardise and analyse data to derive costs of cMDA and supportive activities. SETTING: Field site and collaborating research institutions. PRIMARY AND SECONDARY OUTCOME MEASURES: A strategy for costing interventions in parallel with field activities was discussed. Interim estimates of cMDA costs obtained with the strategy were presented for one of the trial sites. RESULTS: The study demonstrated that it was both feasible and advantageous to collect data alongside field activities. Practical decisions on implementing the strategy and the trade-offs involved varied by site; trialists and local partners were key to tailoring data collection to the technical and operational realities in the field. The strategy capitalised on the established processes for routine financial reporting at sites, benefitted from high recall and gathered operational insight that facilitated interpretation of the estimates derived. The methodology produced granular costs that aligned with the literature and allowed exploration of relevant scenarios. In the first year of the trial, net of drugs, the incremental financial cost of extending deworming of school-aged children to the whole community in India site averaged US$1.14 (USD, 2018) per person per round. A hypothesised at-scale routine implementation scenario yielded a much lower estimate of US$0.11 per person treated per round. CONCLUSIONS: We showed that costing interventions alongside field activities offers unique opportunities for collecting rich data to inform policy toward optimising health interventions and for facilitating transfer of economic evidence from the field to the programme. TRIAL REGISTRATION NUMBER: NCT03014167; Pre-results.

Cost-effectiveness of self-injected DMPA-SC compared with health-worker-injected DMPA-IM in Senegal.

OBJECTIVES: To evaluate the cost-effectiveness of self-injected subcutaneous depot medroxyprogesterone acetate (DMPA-SC) compared to health-worker-administered intramuscular DMPA (DMPA-IM) in Senegal and to assess how including practice or demonstration injections in client self-injection training affects estimates. STUDY DESIGN: We developed a decision-tree model with a 12-month time horizon for a hypothetical cohort of 100,000 injectable contraceptive users in Senegal. We used the model to estimate incremental costs per disability-adjusted life year (DALY) averted. The analysis derived model inputs from DMPA-SC self-injection continuation and costing research studies and peer-reviewed literature. We evaluated the cost-effectiveness from societal and health system perspectives and conducted one-way and probabilistic sensitivity analyses to test the robustness of results. RESULTS: Compared to health-worker-administered DMPA-IM, self-injected DMPA-SC could prevent 1402 additional unintended pregnancies and avert 204 maternal DALYs per year for this hypothetical cohort. From a societal perspective, self-injection costs less than health worker administration regardless of the training approach and is therefore dominant. From the health system perspective, self-injection is dominant compared to health worker administration if a one-page instruction sheet is used and one additional DMPA-SC unit is used for training and is cost-effective at $208 per DALY averted when two additional DMPA-SC units are used. Sensitivity analysis showed estimates were robust. CONCLUSIONS: Self-injected DMPA-SC averted more pregnancies and DALYs and cost less from the societal perspective compared to health-worker-administered DMPA-IM and hence is dominant. Using fewer DMPA-SC units for practice or demonstration improves cost-effectiveness of self-injection from the health system perspective. IMPLICATIONS: Evidence from Senegal shows that self-injection of DMPA-SC can be dominant or cost-effective from both health system and societal perspectives relative to DMPA-IM from health workers even if women practice injecting or health workers demonstrate with one or two DMPA-SC units. Evidence on whether practice or demonstration is required for client training would be useful.

Is contraceptive self-injection cost-effective compared to contraceptive injections from facility-based health workers? Evidence from Uganda.

OBJECTIVE: To assess the cost-effectiveness of self-injected subcutaneous depot medroxyprogesterone acetate (DMPA-SC) compared to health-worker-administered intramuscular DMPA (DMPA-IM) in Uganda. STUDY DESIGN: We developed a decision-tree model with a 12-month time horizon for a hypothetical cohort of approximately 1 million injectable contraceptive users in Uganda to estimate the incremental costs per pregnancy averted and per disability-adjusted life year (DALY) averted. The study design derived model inputs from DMPA-SC self-injection continuation and costing research studies and peer-reviewed literature. We calculated incremental cost-effectiveness ratios from societal and health system perspectives and conducted one-way and probabilistic sensitivity analyses to test the robustness of results. RESULTS: Self-injected DMPA-SC could prevent 10,827 additional unintended pregnancies and 1620 maternal DALYs per year for this hypothetical cohort compared to DMPA-IM administered by facility-based health workers. Due to savings in women's time and travel costs, under a societal perspective, self-injection could save approximately US$1 million or $84,000 per year, depending on the self-injection training aid used. From a health system perspective, self-injection would avert more pregnancies but incur additional costs. A training approach using a one-page client instruction sheet would make self-injection cost-effective compared to DMPA-IM, with incremental costs per pregnancy averted of $15 and per maternal DALY averted of $98. Sensitivity analysis showed that the estimates were robust. The one-way and probabilistic sensitivity analyses showed that the costs of the first visit for self-injection (which include training costs) were an important variable impacting the cost-effectiveness estimates. CONCLUSIONS: Under a societal perspective, self-injected DMPA-SC averted more pregnancies and cost less compared to health-worker-administered DMPA-IM. Under a health system perspective, self-injected DMPA-SC can be cost-effective relative to DMPA-IM when a lower-cost visual aid for client training is used. IMPLICATIONS: Self-injection has economic benefits for women through savings in time and travel costs, and it averts additional pregnancies and maternal disability-adjusted life years compared to health-worker-administered injectable DMPA-IM. Implementing lower-cost approaches to client training can help ensure that self-injection is also cost-effective from a health system perspective.

Costs of administering injectable contraceptives through health workers and self-injection: evidence from Burkina Faso, Uganda, and Senegal.

OBJECTIVE: To evaluate the 12-month total direct costs (medical and nonmedical) of delivering subcutaneous depot medroxyprogesterone acetate (DMPA-SC) under three strategies - facility-based administration, community-based administration and self-injection - compared to the costs of delivering intramuscular DMPA (DMPA-IM) via facility- and community-based administration. STUDY DESIGN: We conducted four cross-sectional microcosting studies in three countries from December 2015 to January 2017. We estimated direct medical costs (i.e., costs to health systems) using primary data collected from 95 health facilities on the resources used for injectable contraceptive service delivery. For self-injection, we included both costs of the actual research intervention and adjusted programmatic costs reflecting a lower-cost training aid. Direct nonmedical costs (i.e., client travel and time costs) came from client interviews conducted during injectable continuation studies. All costs were estimated for one couple year of protection. One-way sensitivity analyses identified the largest cost drivers. RESULTS: Total costs were lowest for community-based distribution of DMPA-SC (US$7.69) and DMPA-IM ($7.71) in Uganda. Total costs for self-injection before adjustment of the training aid were $9.73 (Uganda) and $10.28 (Senegal). After adjustment, costs decreased to $7.83 (Uganda) and $8.38 (Senegal) and were lower than the costs of facility-based administration of DMPA-IM ($10.12 Uganda, $9.46 Senegal). Costs were highest for facility-based administration of DMPA-SC ($12.14) and DMPA-IM ($11.60) in Burkina Faso. Across all studies, direct nonmedical costs were lowest for self-injecting women. CONCLUSIONS: Community-based distribution and self-injection may be promising channels for reducing injectable contraception delivery costs. We observed no major differences in costs when administering DMPA-SC and DMPA-IM under the same strategy. IMPLICATIONS: Designing interventions to bring contraceptive service delivery closer to women may reduce barriers to contraceptive access. Community-based distribution of injectable contraception reduces direct costs of service delivery. Compared to facility-based health worker administration, self-injection brings economic benefits for women and health systems, especially with a lower-cost client training aid.

Variation in life expectancy and mortality by cause among neighbourhoods in King County, WA, USA, 1990-2014: a census tract-level analysis for the Global Burden of Disease Study 2015.

BACKGROUND: Health outcomes are known to vary at both the country and local levels, but trends in mortality across a detailed and comprehensive set of causes have not been previously described at a very local level. Life expectancy in King County, WA, USA, is in the 95th percentile among all counties in the USA. However, little is known about how life expectancy and mortality from different causes of death vary at a local, neighbourhood level within this county. In this analysis, we estimated life expectancy and cause-specific mortality within King County to describe spatial trends, quantify disparities in mortality, and assess the contribution of each cause of death to overall disparities in all-cause mortality. METHODS: We applied established so-called garbage code redistribution algorithms and small area estimation methods to death registration data for King County to estimate life expectancy, cause-specific mortality rates, and years of life lost (YLL) rates from 152 causes of death for 397 census tracts from Jan 1, 1990, to Dec 31, 2014. We used the cause list developed for the Global Burden of Disease 2015 study for this analysis. Deaths were tabulated by age group, sex, census tract, and cause of death. We used Bayesian mixed-effects regression models to estimate mortality overall and from each cause. FINDINGS: Between 1990 and 2014, life expectancy in King County increased by 5·4 years (95% uncertainty interval [UI] 5·0-5·7) among men (from 74·0 years [73·7-74·3] to 79·3 years [79·1-79·6]) and by 3·4 years (3·0-3·7) among women (from 80·0 years [79·7-80·2] to 83·3 years [83·1-83·5]). In 2014, life expectancy ranged from 68·4 years (95% UI 66·9-70·1) to 86·7 years (85·0-88·2) for men and from 73·6 years (71·6-75·5) to 88·4 years (86·9-89·9) for women among census tracts within King County. Rates of YLL by cause also varied substantially among census tracts for each cause of death. Geographical areas with relatively high and relatively low YLL rates differed by cause. In general, causes of death responsible for more YLLs overall also contributed more significantly to geographical inequality within King County. However, certain causes contributed more to inequality than to overall YLLs. INTERPRETATION: This census tract-level analysis of life expectancy and cause-specific YLL rates highlights important differences in health among neighbourhoods in King County that are masked by county-level estimates. Efforts to improve population health in King County should focus on reducing geographical inequality, by targeting those health conditions that contribute the most to overall YLLs and to inequality. This analysis should be replicated in other locations to more fully describe fine-grained local-level variation in population health and contribute to efforts to improve health while reducing inequalities. FUNDING: John W Stanton and Theresa E Gillespie.

Inequalities in Life Expectancy Among US Counties, 1980 to 2014: Temporal Trends and Key Drivers.

Importance: Examining life expectancy by county allows for tracking geographic disparities over time and assessing factors related to these disparities. This information is potentially useful for policy makers, clinicians, and researchers seeking to reduce disparities and increase longevity. Objective: To estimate annual life tables by county from 1980 to 2014; describe trends in geographic inequalities in life expectancy and age-specific risk of death; and assess the proportion of variation in life expectancy explained by variation in socioeconomic and race/ethnicity factors, behavioral and metabolic risk factors, and health care factors. Design, Setting, and Participants: Annual county-level life tables were constructed using small area estimation methods from deidentified death records from the National Center for Health Statistics (NCHS), and population counts from the US Census Bureau, NCHS, and the Human Mortality Database. Measures of geographic inequality in life expectancy and age-specific mortality risk were calculated. Principal component analysis and ordinary least squares regression were used to examine the county-level association between life expectancy and socioeconomic and race/ethnicity factors, behavioral and metabolic risk factors, and health care factors. Exposures: County of residence. Main Outcomes and Measures: Life expectancy at birth and age-specific mortality risk. Results: Counties were combined as needed to create stable units of analysis over the period 1980 to 2014, reducing the number of areas analyzed from 3142 to 3110. In 2014, life expectancy at birth for both sexes combined was 79.1 (95% uncertainty interval [UI], 79.0-79.1) years overall, but differed by 20.1 (95% UI, 19.1-21.3) years between the counties with the lowest and highest life expectancy. Absolute geographic inequality in life expectancy increased between 1980 and 2014. Over the same period, absolute geographic inequality in the risk of death decreased among children and adolescents, but increased among older adults. Socioeconomic and race/ethnicity factors, behavioral and metabolic risk factors, and health care factors explained 60%, 74%, and 27% of county-level variation in life expectancy, respectively. Combined, these factors explained 74% of this variation. Most of the association between socioeconomic and race/ethnicity factors and life expectancy was mediated through behavioral and metabolic risk factors. Conclusions and Relevance: Geographic disparities in life expectancy among US counties are large and increasing. Much of the variation in life expectancy among counties can be explained by a combination of socioeconomic and race/ethnicity factors, behavioral and metabolic risk factors, and health care factors. Policy action targeting socioeconomic factors and behavioral and metabolic risk factors may help reverse the trend of increasing disparities in life expectancy in the United States.