Harnessing "Scale-Up and Spread" to Support Community Uptake of the HoMBReS por un Cambio Intervention for Spanish-Speaking Men: Implementation Science Lessons Learned by a CBPR Partnership

Understanding uptake of COVID-19 testing, vaccination, and boosters among Spanish-speaking Latines in the United States: Qualitative insights from Spanish speakers and key informants

BACKGROUND

Latine communities in the United States have been disproportionately affected by COVID-19. It is critical to gain a better understanding of the sociocultural determinants that challenge and facilitate COVID-19 testing, vaccination, and booster uptake within these vulnerable communities to inform culturally congruent strategies and interventions.

METHODS

In summer 2022, our community-based participatory research partnership conducted 30 key informant interviews and 7 focus groups with 64 Spanish-speaking Latine participants in North Carolina. Interviewees consisted of representatives from health and service organizations, most of whom were engaged with direct service to Spanish speakers. Interviews were conducted in either English or Spanish, depending on the preference of the participant; all focus groups were conducted in Spanish. Interviews and focus groups were conducted in person or by videoconference.

RESULTS

Twenty themes emerged that we organize into four domains: general perceptions about COVID-19; barriers to COVID-19 testing, vaccination, and booster uptake; facilitators to COVID-19 testing, vaccination, and booster uptake; and recommendations to promote testing, vaccination, and booster uptake.

DISCUSSION

Results underscore important sociocultural determinants of ongoing COVID-19 testing, vaccination, and booster uptake to consider in developing interventions for Spanish-speaking Latines in the United States. Based on this formative work, our partnership developed Nuestra Comunidad Saludable (Our Healthy Community). We are implementing the intervention to test whether trained peer navigators can increase COVID-19 testing, vaccination, and booster uptake among Spanish-speaking Latines through blending in-person interactions and mHealth (mobile health) strategies using social media.

Development of the SPREAD framework to support the scaling of de-implementation strategies: a mixed-methods study

OBJECTIVE

We aimed to increase the understanding of the scaling of de-implementation strategies by identifying the determinants of the process and developing a determinant framework.

DESIGN AND METHODS

This study has a mixed-methods design. First, we performed an integrative review to build a literature-based framework describing the determinants of the scaling of healthcare innovations and interventions. PubMed and EMBASE were searched for relevant studies from 1995 to December 2020. We systematically extracted the determinants of the scaling of interventions and developed a literature-based framework. Subsequently, this framework was discussed in four focus groups with national and international de-implementation experts. The literature-based framework was complemented by the findings of the focus group meetings and adapted for the scaling of de-implementation strategies.

RESULTS

The literature search resulted in 42 articles that discussed the determinants of the scaling of innovations and interventions. No articles described determinants specifically for de-implementation strategies. During the focus groups, all participants agreed on the relevance of the extracted determinants for the scaling of de-implementation strategies. The experts emphasised that while the determinants are relevant for various countries, the implications differ due to different contexts, cultures and histories. The analyses of the focus groups resulted in additional topics and determinants, namely, medical training, professional networks, interests of stakeholders, clinical guidelines and patients' perspectives. The results of the focus group meetings were combined with the literature framework, which together formed the supporting the scaling of de-implementation strategies (SPREAD) framework. The SPREAD framework includes determinants from four domains: (1) scaling plan, (2) external context, (3) de-implementation strategy and (4) adopters.

CONCLUSIONS

The SPREAD framework describes the determinants of the scaling of de-implementation strategies. These determinants are potential targets for various parties to facilitate the scaling of de-implementation strategies. Future research should validate these determinants of the scaling of de-implementation strategies.

A typology of power in implementation: Building on the exploration, preparation, implementation, sustainment (EPIS) framework to advance mental health and HIV health equity

Background

Persistent inequities in HIV health are due, in part, to barriers to successful HIV-related mental health intervention implementation with marginalized groups. Implementation Science (IS) has begun to examine how the field can promote health equity. Lacking is a clear method to analyze how power is generated and distributed through practical implementation processes and how this power can dismantle and/or reproduce health inequity through intervention implementation. The aims of this paper are to (1) propose a typology of power generated through implementation processes, (2) apply this power typology to expand on the Exploration, Preparation, Implementation, Sustainment (EPIS) framework to advance HIV and mental health equity and (3) articulate questions to guide the explicit examination and distribution of power throughout implementation.

Methods

This paper draws on the work of an Intermediary Purveyor organization implementing trauma-informed care and harm reduction organizational change with HIV service organizations. The expanded framework was developed through analyzing implementation coaching field notes, grant reporting, and evaluation documents, training feedback, partner evaluation interviews, and existing implementation literature.

Results

The authors identify three types of power working through implementation; (1) discursive power is enacted through defining health-related problems to be targeted by intervention implementation, as well as through health narratives that emerge through implementation; (2) epistemic power influences whose knowledge is valued in decision-making and is recreated through knowledge generation; and (3) material power is created through resource distribution and patterns of access to health resources and acquisition of health benefits provided by the intervention. Decisions across all phases and related to all factors of EPIS influence how these forms of power striate through intervention implementation and ultimately affect health equity outcomes.

Conclusions

The authors conclude with a set of concrete questions for researchers and practitioners to interrogate power throughout the implementation process.

Plain language summary

Over the past few years, Implementation Science researchers have committed increased attention to the ways in which the field can more effectively address health inequity. Lacking is a clear method to analyze how implementation processes themselves generate power that has the potential to contribute to health inequity. In this paper, the authors describe and define three types of power that are created and distributed through intervention implementation; discursive power, epistemic power, and material power. The authors then explain how these forms of power shape factors and phases of implementation, using the well-known EPIS (exploration, preparation, implementation, sustainment) framework. The authors draw from their experience working with and Intermediary Purveyor supporting HIV service organizations implementing trauma-informed care and harm reduction organizational change projects. This paper concludes with a set of critical questions that can be used by researchers and practitioners as a concrete tool to analyze the role of power in intervention implementation processes.

Social trust and health seeking behaviours: A longitudinal study of a community-based active tuberculosis case finding program in the Philippines

Introduction

Social trust is an important driver of health seeking behaviours and plays a particularly important role for diseases that have a high degree of stigma associated with them, such as tuberculosis (TB). Individuals experiencing poverty also face additional social and financial barriers in accessing care for TB. We examined an active case finding (ACF) initiative embedded in a program targeting those living in poverty (Transform) implemented by International Care Ministries (ICM), a Philippine-based non-governmental organization (NGO), and analyzed how different forms of social trust may affect the initial uptake of ACF.

Methods

Program monitoring data and a cross-sectional survey conducted at the beginning of Transform included six dimensions of social trust: satisfaction with family life, satisfaction with friendships, and level of trust in relatives, neighbours, pastor or religious leader, and local government officials. Amongst individuals suspected of having TB who received referrals post-screening, multilevel modelling examined the effects of social trust on rural health unit (RHU) attendance.

Results

Among the subset of 3350 individuals who received TB screening in 51 communities, 889 (26.5%) were symptom positive and required referral to the RHU, but only 24.1% of those who received referrals successfully attended the RHU. Multilevel regression analysis showed that for each unit increase on the Likert scale in baseline level of family satisfaction and level of trust in relatives, the odds of attending an RHU was 1.03 times (95% CI: 0.99, 1.07) and 1.06 times greater (95% CI: 1.00, 1.11), respectively, independent of other factors.

Conclusion

These results suggest that social trust in family members could play a valuable role in addressing stigma and rejection, both cited as barriers to higher screening rates. It is recommended that ACF programs that target TB, or other diseases that are stigmatized, prioritize trust-building as an important component of their intervention.

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Role of social trust on health clinic attendance among extreme poor examined.

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Effect of five relationship types in supporting tuberculosis testing explored.

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Trust in family relationships predicted greater health clinic testing.

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Health interventions for stigmatized diseases should prioritize trust-building.