Social innovation in health training to engage researchers in resource-limited settings: process description and evaluation.

Research on social innovations in health has increased in recent years. However, little training is geared toward enhancing social innovation research capacity. Most health training for low- and middle-income countries (LMICs) is developed by individuals in high-income countries, disregarding LMIC researchers' wisdom and insights and the communities' needs. Our team organized a multi-phase investigation involving a series of surveys and co-creation group discussions to assess individuals' training needs that directly informed a subsequent co-created training workshop series. We conducted a Hennessy-Hicks Training Needs Assessment among the Social Innovation in Health Initiative (SIHI) network and formed a co-creation group comprising SIHI fellows to design related training workshops. We ran a final evaluation survey and analyzed the workshop series' strengths, weaknesses and threats. Descriptive and thematic analysis were employed to analyze survey data and open-ended responses. The final evaluation survey captured data from 165 learners in 35 countries, including 26 LMICs. Most participants (67.3%, 111/165) rated the training workshop series as excellent, and 30.3% (50/165) rated it as good on a five-point scale. The need for writing research grants and manuscripts was rated the highest priority. Learners were interested in community-engaged research and diversity, equity and inclusion. This workshop illustrated how co-creation could be an effective tool for developing training materials tailored for LMIC researchers. We also offer a template for conducting a needs assessment and subsequent training workshops for LMICs. The ground-up, locally developed courses may be more effective than externally developed training programs intended for LMICs.

Description of global innovative methods in developing the WHO Community Engagement Package.

OBJECTIVES: Development of a Community Engagement Package composed of (1) database of community engagement (CE) experiences from different contexts, (2) CE learning package of lessons and tools presented as online modules, and (3) CE workshop package for identifying CE experiences to enrich the CE database and ensure regular update of learning resources. The package aims to guide practitioners to promote local action and enhance skills for CE. SETTING AND PARTICIPANTS: The packages were co-created with diverse teams from WHO, Social Innovation in Health Initiative, UNICEF, community practitioners, and other partners providing synergistic contributions and bridging existing silos. METHODS: The design process of the package was anchored on CE principles. Literature search was performed using standardised search terms through global and regional databases. Interviews with CE practitioners were also conducted. RESULTS: A total of 356 cases were found to fit the inclusion criteria and proceeded to data extraction and thematic analysis. Themes were organised according to rationale, key points and insights, facilitators of CE and barriers to CE. Principles and standards of CE in various contexts served as a foundation for the CE learning package. The package comprises four modules organised by major themes such as mobilising communities, strengthening health systems, CE in health emergencies and CE as a driver for health equity. CONCLUSION: After pilot implementation, tools and resources were made available for training and continuous collection of novel CE lessons and experiences from diverse socio-geographical contexts.

Implementation outcomes of HIV self-testing in low- and middle- income countries: A scoping review.

INTRODUCTION: HIV self-testing (HIV-ST) is an effective means of improving HIV testing rates. Low- and middle-income countries (LMIC) are taking steps to include HIV-ST into their national HIV/AIDS programs but very few reviews have focused on implementation in LMIC. We performed a scoping review to describe and synthesize existing literature on implementation outcomes of HIV-ST in LMIC. METHODS: We conducted a systematic search of Medline, Embase, Global Health, Web of Science, and Scopus, supplemented by searches in HIVST.org and other grey literature databases (done 23 September 2020) and included articles if they reported at least one of the following eight implementation outcomes: acceptability, appropriateness, adoption, feasibility, fidelity, cost, penetration, or sustainability. Both quantitative and qualitative results were extracted and synthesized in a narrative manner. RESULTS AND DISCUSSION: Most (75%) of the 206 included articles focused on implementation in Africa. HIV-ST was found to be acceptable and appropriate, perceived to be convenient and better at maintaining confidentiality than standard testing. The lack of counselling and linkage to care, however, was concerning to stakeholders. Peer and online distribution were found to be effective in improving adoption. The high occurrence of user errors was a common feasibility issue reported by studies, although, diagnostic accuracy remained high. HIV-ST was associated with higher program costs but can still be cost-effective if kit prices remain low and HIV detection improves. Implementation fidelity was not always reported and there were very few studies on, penetration, and sustainability. CONCLUSIONS: Evidence supports the acceptability, appropriateness, and feasibility of HIV-ST in the LMIC context. Costs and user error rates are threats to successful implementation. Future research should address equity through measuring penetration and potential barriers to sustainability including distribution, cost, scale-up, and safety.

Influenza-associated excess mortality in the Philippines, 2006-2015.

Influenza-associated mortality has not been quantified in the Philippines. Here, we constructed multiple negative binomial regression models to estimate the overall and age-specific excess mortality rates (EMRs) associated with influenza in the Philippines from 2006 to 2015. The regression analyses used all-cause mortality as the dependent variable and meteorological controls, time, influenza A and B positivity rates (lagged for up to two time periods), and annual and semiannual cyclical seasonality controls as independent variables. The regression models closely matched observed all-cause mortality. Influenza was estimated to account for a mean of 5,347 excess deaths per year (1.1% of annual all-cause deaths) in the Philippines, most of which (67.1%) occurred in adults aged ≥60 years. Influenza A accounted for 85.7% of all estimated excess influenza deaths. The annual estimated influenza-attributable EMR was 5.09 (95% CI: 2.20-5.09) per 100,000 individuals. The EMR was highest for individuals aged ≥60 years (44.63 [95% CI: 4.51-44.69] per 100,000), second highest for children aged less than 5 years (2.14 [95% CI: 0.44-2.19] per 100,000), and lowest for individuals aged 10 to 19 years (0.48 [95% CI: 0.10-0.50] per 100,000). Estimated numbers of excess influenza-associated deaths were considerably higher than the numbers of influenza deaths registered nationally. Our results suggest that influenza causes considerable mortality in the Philippines-to an extent far greater than observed from national statistics-especially among older adults and young children.