Is a search for game changers preventing us from focusing on the necessary tasks of systems strengthening and norm change to facilitate adolescent contraceptive use?

With a keen awareness of the size and health needs of the global adolescent population, governments, nongovernment organizations and the technical and funding agencies that support them continue to seek innovative answers to persistent programming challenges to increasing contraceptive use among sexually active adolescents. Adolescents 360 (A360) is a project implemented by Population Services International (PSI) and partners with funding from the Bill and Melinda Gates Foundation (BMGF) and the Children's Investment Fund Foundation (CIFF). The first phase of the project was implemented from 2016 - 2020 in Ethiopia, Nigeria, and Tanzania. A360 hypothesized that human centered design (HCD) could catalyze new insights into identifying and solving problems that limit adolescents' use of contraception. Despite initial promising results, A360 demonstrated very limited impact on modern contraceptive uptake among adolescents. The authors of this commentary were members of a technical advisory group to A360 and are uniquely positioned to provide insights on this project to complement those of A360's staff and evaluators, which are already in the public arena. Our analysis suggests that all stakeholders should take steps to rebalance their programs and investments to not only seek new solutions (i.e. game changers), but to also invest in the institutionalization of the solutions that have been generated over the past 40 years, prioritizing those that have shown evidence of effectiveness (i.e. adolescent responsive health service delivery) and those that demonstrate significant promise (i.e. social norm change).

Spatial variability in factors influencing maternal health service use in Jimma Zone, Ethiopia: a geographically-weighted regression analysis.

BACKGROUND: Persisting within-country disparities in maternal health service access are significant barriers to attaining the Sustainable Development Goals aimed at reducing inequalities and ensuring good health for all. Sub-national decision-makers mandated to deliver health services play a central role in advancing equity but require appropriate evidence to craft effective responses. We use spatial analyses to identify locally-relevant barriers to access using sub-national data from rural areas in Jimma Zone, Ethiopia. METHODS: Cross-sectional data from 3727 households, in three districts, collected at baseline in a cluster randomized controlled trial were analysed using geographically-weighted regressions. These models help to quantify associations within women's proximal contexts by generating local parameter estimates. Data subsets, representing an empirically-identified scale for neighbourhood, were used. Local associations between outcomes (antenatal, delivery, and postnatal care use) and potential explanatory factors at individual-level (ex: health information source), interpersonal-level (ex: companion support availability) and health service-levels (ex: nearby health facility type) were modelled. Statistically significant local odds ratios were mapped to demonstrate how relevance and magnitude of associations between various explanatory factors and service outcomes change depending on locality. RESULTS: Significant spatial variability in relationships between all services and their explanatory factors (p < 0.001) was detected, apart from the association between delivery care and women's decision-making involvement (p = 0.124). Local models helped to pinpoint factors, such as danger sign awareness, that were relevant for some localities but not others. Among factors with more widespread influence, such as that of prior service use, variation in estimate magnitudes between localities was uncovered. Prominence of factors also differed between services; companion support, for example, had wider influence for delivery than postnatal care. No significant local associations with postnatal care use were detected for some factors, including wealth and decision involvement, at the selected neighbourhood scale. CONCLUSIONS: Spatial variability in service use associations means that the relative importance of explanatory factors changes with locality. These differences have important implications for the design of equity-oriented and responsive health systems. Reductions in within-country disparities are also unlikely if uniform solutions are applied to heterogeneous contexts. Multi-scale models, accommodating factor-specific neighbourhood scaling, may help to improve estimated local associations.