Understanding HIV Program Effects: A Structural Approach to Context Using the Transportability Framework

Effectiveness and implementation of decentralized, community- and primary care-based strategies in promoting hepatitis B testing uptake: a systematic review and meta-analysis

Background

Expanding chronic hepatitis B (CHB) testing through effective implementation strategies in primary- and community-care setting is crucial for elimination. Our study aimed to determine the effectiveness of all available strategies in the literature and evaluate their specifications and implementation outcomes, thereby informing future programming and policymaking.

Methods

We conducted a systematic review and meta-analysis (PROSPERO CRD42023455781), searching Scopus, Embase, PubMed, and CINAHL databases up to June 05, 2024, for randomized controlled trials investigating primary- and community-care-based implementation strategies to promote CHB testing. Studies were screened against a priori eligibility criteria, and their data were extracted using a standardized protocol if included. ROB-2 was used to assess the risk of bias. Implementation strategies' components were characterized using the Behavior Change Wheel (BCW) framework. Random-effect models were applied to pool the effectiveness estimate by strategy. Mixed-effect meta-regression was employed to investigate if effectiveness varied by the number of strategy's BCW components.

Findings

7146 unique records were identified. 25 studies were eligible for the review, contributing 130,598 participants. 19 studies were included in the meta-analysis. No studies were conducted in low-and-middle-income countries. Implementation outcomes were reported in only ten studies (40%). Community-based strategies included lay health workers-led education (Pooled Risk Difference = 27.9% [95% Confidence Interval = 3.4-52.4], I2 = 99.3%) or crowdsourced education on social media (3.1% [-2.2 to 8.4], 0.0%). Primary care-based strategies consisted of electronic alert system (8.4% [3.7-13.1], 95.0%) and healthcare providers-led education (HCPs, 62.5% [53.1-71.9], 27.5%). The number of BCW-framework-driven strategy components showed a significant dose-response relationship with effectiveness.

Interpretation

HCPs-led education stands out, and more enriched multicomponent strategies had better effectiveness. Future implementation strategies should consider critical contextual factors and policies to achieve a sustainable impact towards hepatitis B elimination targets.

Funding

Tran Dolch Post-Doctoral Fellowship in Hepatology, Johns Hopkins University School of Medicine, Baltimore MD, USA.

Dissemination and implementation research coordination and training to improve cardiovascular health in people living with HIV in sub-Saharan Africa: the research coordinating center of the HLB-SIMPLe Alliance

As global adoption of antiretroviral therapy extends the lifespan of People Living with HIV (PLHIV) through viral suppression, the risk of comorbid conditions such as hypertension has risen, creating a need for effective, scalable interventions to manage comorbidities in PLHIV. The Heart, Lung, and Blood Co-morbiditieS Implementation Models in People Living with HIV (HLB-SIMPLe) Alliance has been funded by the National Heart, Lung, and Blood Institute (NHLBI) and the Fogarty International Center (FIC) since September 2020. The Alliance was created to conduct late-stage implementation research to contextualize, implement, and evaluate evidence-based strategies to integrate the diagnosis, treatment, and control of cardiovascular diseases, particularly hypertension, in PLHIV in low- and middle-income countries (LMICs).The Alliance consists of six individually-funded clinical trial cooperative agreement research projects based in Botswana, Mozambique, Nigeria, South Africa, Uganda, and Zambia; the Research Coordinating Center; and personnel from NIH, NHLBI, and FIC (the Federal Team). The Federal Team works together with the members of the seven cooperative agreements which comprise the alliance. The Federal Team includes program officials, project scientists, grant management officials and clinical trial specialists. This Alliance of research scientists, trainees, and administrators works collaboratively to provide and support venues for ongoing information sharing within and across the clinical trials, training and capacity building in research methods, publications, data harmonization, and community engagement. The goal is to leverage shared learning to achieve collective success, where the resulting science and training are greater with an Alliance structure rather than what would be expected from isolated and unconnected individual research projects.In this manuscript, we describe how the Research Coordinating Center performs the role of providing organizational efficiencies, scientific technical assistance, research capacity building, operational coordination, and leadership to support research and training activities in this multi-project cooperative research Alliance. We outline challenges and opportunities during the initial phases of coordinating research and training in the HLB-SIMPLe Alliance, including those most relevant to dissemination and implementation researchers.

Neighborhood-level characteristics as effect modifiers on the efficacy of the MyPEEPS mobile intervention in same-sex attracted adolescent men

To estimate the effect of neighborhood-level modification on the efficacy of the MyPEEPS Mobile intervention on the reduction of condomless anal sex acts among same-sex attracted adolescent men. A series of generalized linear mixed model was used to examine if the effect of the MyPEEPS Mobile intervention on condomless anal sex acts was moderated by neighborhood-level factors using data from the 2019 American Community Survey US Census Bureau. "The magnitudes of intervention were significantly smaller at both 6- and 9-month follow-up among adolescents living in neighborhood with high proportions of Hispanic or Latino residents (IRR6M = 1.02, 95 % CI: 1.01, 1.02; IRR9M = 1.03, 95 % CI: 1.01, 1.05) and high proportions of families with income below the poverty level (IRR6M = 1.07, 95 % CI: 1.01, 1.12; IRR9M = 1.05, 95 % CI: 1.01, 1.10), which indicated that living in communities with a higher concentration of residents living under poverty or of Hispanic/and Latino ethnicity significantly modified the effective of program intervention on condomless sex among adolescent MSM. Understanding how neighborhood characteristics modify the effect of HIV prevention interventions may be useful in better targeting delivery and tailoring content of interventions based on neighborhood level characteristics such as the ones identified in this study.

Barriers to engagement in the care cascade for tuberculosis disease in India: A systematic review of quantitative studies

BACKGROUND

India accounts for about one-quarter of people contracting tuberculosis (TB) disease annually and nearly one-third of TB deaths globally. Many Indians do not navigate all care cascade stages to receive TB treatment and achieve recurrence-free survival. Guided by a population/exposure/comparison/outcomes (PECO) framework, we report findings of a systematic review to identify factors contributing to unfavorable outcomes across each care cascade gap for TB disease in India.

METHODS AND FINDINGS

We defined care cascade gaps as comprising people with confirmed or presumptive TB who did not: start the TB diagnostic workup (Gap 1), complete the workup (Gap 2), start treatment (Gap 3), achieve treatment success (Gap 4), or achieve TB recurrence-free survival (Gap 5). Three systematic searches of PubMed, Embase, and Web of Science from January 1, 2000 to August 14, 2023 were conducted. We identified articles evaluating factors associated with unfavorable outcomes for each gap (reported as adjusted odds, relative risk, or hazard ratios) and, among people experiencing unfavorable outcomes, reasons for these outcomes (reported as proportions), with specific quality or risk of bias criteria for each gap. Findings were organized into person-, family-, and society-, or health system-related factors, using a social-ecological framework. Factors associated with unfavorable outcomes across multiple cascade stages included: male sex, older age, poverty-related factors, lower symptom severity or duration, undernutrition, alcohol use, smoking, and distrust of (or dissatisfaction with) health services. People previously treated for TB were more likely to seek care and engage in the diagnostic workup (Gaps 1 and 2) but more likely to suffer pretreatment loss to follow-up (Gap 3) and unfavorable treatment outcomes (Gap 4), especially those who were lost to follow-up during their prior treatment. For individual care cascade gaps, multiple studies highlighted lack of TB knowledge and structural barriers (e.g., transportation challenges) as contributing to lack of care-seeking for TB symptoms (Gap 1, 14 studies); lack of access to diagnostics (e.g., X-ray), non-identification of eligible people for testing, and failure of providers to communicate concern for TB as contributing to non-completion of the diagnostic workup (Gap 2, 17 studies); stigma, poor recording of patient contact information by providers, and early death from diagnostic delays as contributing to pretreatment loss to follow-up (Gap 3, 15 studies); and lack of TB knowledge, stigma, depression, and medication adverse effects as contributing to unfavorable treatment outcomes (Gap 4, 86 studies). Medication nonadherence contributed to unfavorable treatment outcomes (Gap 4) and TB recurrence (Gap 5, 14 studies). Limitations include lack of meta-analyses due to the heterogeneity of findings and limited generalizability to some Indian regions, given the country's diverse population.

CONCLUSIONS

This systematic review illuminates common patterns of risk that shape outcomes for Indians with TB, while highlighting knowledge gaps-particularly regarding TB care for children or in the private sector-to guide future research. Findings may inform targeting of support services to people with TB who have higher risk of poor outcomes and inform multicomponent interventions to close gaps in the care cascade.

Instrumental variables for implementation science: exploring context-dependent causal pathways between implementation strategies and evidence-based interventions

BACKGROUND

The impact of both implementation strategies (IS) and evidence-based interventions (EBI) can vary across contexts, and a better understanding of how and why this occurs presents fundamental but challenging questions that implementation science as a field will need to grapple with. We use causal epidemiologic methods to explore the mechanisms of why sharp distinctions between implementation strategies (IS) and efficacy of an evidence-based intervention (EBI) may fail to recognize that the effect of an EBI can be deeply intertwined and dependent on the context of the IS leading to its uptake.

METHODS

We explore the use of instrumental variable (IV) analyses as a critical tool for implementation science methods to isolate three relevant quantities within the same intervention context when exposure to an implementation strategy is random: (1) the effect of an IS on implementation outcomes (e.g., uptake), (2) effect of EBI uptake on patient outcomes, and (3) overall effectiveness of the IS (i.e., ~ implementation*efficacy). We discuss the mechanisms by which an implementation strategy can alter the context, and therefore effect, of an EBI using the underlying IV assumptions. We illustrate these concepts using examples of the implementation of new ART initiation guidelines in Zambia and community-based masking programs in Bangladesh.

RESULTS

Causal questions relevant to implementation science are answered at each stage of an IV analysis. The first stage assesses the effect of the IS (e.g., new guidelines) on EBI uptake (e.g., same-day treatment initiation). The second stage leverages the IS as an IV to estimate the complier average causal effect (CACE) of the EBI on patient outcomes (e.g., effect of same-day treatment initiation on viral suppression). The underlying assumptions of CACE formalize that the causal effect of EBI may differ in the context of a different IS because (1) the mechanisms by which individuals uptake an intervention may differ and (2) the subgroup of individuals who take up an EBI may differ. IV methods thus provide a conceptual framework for how IS and EBIs are linked and that the IS itself needs to be considered a critical contextual determinant. Moreover, it also provides rigorous methodologic tools to isolate the effect of an IS, EBI, and combined effect of the IS and EBI.

DISCUSSION

Leveraging IV methods when exposure to an implementation strategy is random helps to conceptualize the context-dependent nature of implementation strategies, EBIs, and patient outcomes. IV methods formalize that the causal effect of an EBI may be specific to the context of the implementation strategy used to promote uptake. This integration of implementation science concepts and theory with rigorous causal epidemiologic methods yields novel insights and provides important tools for exploring the next generation of questions related to mechanisms and context in implementation science.

Nurse-led approaches to address social determinants of health and advance health equity: A new framework and its implications

BACKGROUND

The U.S. health care system is burdened by inefficiencies, longstanding health inequities, and unstainable costs. Within the nursing profession and the broader health care sector, there is growing recognition of the need for a paradigm shift that addresses persistent structural problems and advances health equity.

PURPOSE

Despite evidence of the importance of the social determinants of health (SDOH) in shaping inequitable health outcomes, practical tools for applying SDOH theory in the development of effective nurse-led programs to mitigate harmful SDOH remain scarce.

METHODS

We synthesize extant SDOH literature into a heuristic framework for conceptualizing core SDOH mechanisms, constructs, and principles.

FINDINGS

To illustrate how nurse scientists can use the framework to guide the development of programs for SDOH mitigation, we outline a three-step exemplar application to the U.S. Latino HIV epidemic.

DISCUSSION

Our framework can inform a paradigm shift toward nurse-led, multi-level SDOH mitigation across practice, education, and research.

Strengthening implementation guidelines for HIV service delivery: Considerations for future evidence generation and synthesis

Ingrid Eshun-Wilson and colleagues summarize gaps in primary HIV implementation research methods and reporting, and propose areas for future methodological development.

Invited Commentary: Conducting and Emulating Trials to Study Effects of Social Interventions

All else being equal, if we had 1 causal effect we wished to estimate, we would conduct a randomized trial with a protocol that mapped onto that causal question, or we would attempt to emulate that target trial with observational data. However, studying the social determinants of health often means there are not just 1 but several causal contrasts of simultaneous interest and importance, and each of these related but distinct causal questions may have varying degrees of feasibility in conducting trials. With this in mind, we discuss challenges and opportunities that arise when conducting and emulating such trials. We describe designing trials with the simultaneous goals of estimating the intention-to-treat effect, the per-protocol effect, effects of alternative protocols or joint interventions, effects within subgroups, and effects under interference, and we describe ways to make the most of all feasible randomized trials and emulated trials using observational data. Our comments are grounded in the study results of Courtin et al. (Am J Epidemiol. 2022;191(8):1444-1452).

A Systematic Review of HIV Testing Implementation Strategies in Sub-Saharan African Countries

HIV/AIDS remains a looming presence in public health across the world, particularly in Sub-Saharan Africa. The HIV Care Cascade hinges on testing and knowledge of HIV status. Though significant advances have been made in diagnosing people living with HIV (PLHIV), limitations in understanding which strategies are best suited to certain regions or populations have contributed to the uneven distribution in the success of various HIV testing strategies. Here, we present a conceptual framework that outlines effective HIV testing strategies for four target groups. This framework is based on a systematic literature review of articles published from January 1st, 2008, to December 31st, 2019. The effectiveness of HIV testing strategies depends on various factors including the setting, type of test and service providers. Multiple strategies are needed to reach the UNAIDS target of 95% of individuals knowing their HIV status. Expansion of community-based approaches, self-testing and HIV testing services in antenatal care will further improve the state of HIV testing in Sub-Saharan Africa.

Revisiting concepts of evidence in implementation science

BACKGROUND

Evidence, in multiple forms, is a foundation of implementation science. For public health and clinical practice, evidence includes the following: type 1 evidence on etiology and burden; type 2 evidence on effectiveness of interventions; and type 3: evidence on dissemination and implementation (D&I) within context. To support a vision for development and use of evidence in D&I science that is more comprehensive and equitable (particularly for type 3 evidence), this article aims to clarify concepts of evidence, summarize ongoing debates about evidence, and provide a set of recommendations and tools/resources for addressing the "how-to" in filling evidence gaps most critical to advancing implementation science.

MAIN TEXT

Because current conceptualizations of evidence have been relatively narrow and insufficiently characterized in our opinion, we identify and discuss challenges and debates about the uses, usefulness, and gaps in evidence for implementation science. A set of questions is proposed to assist in determining when evidence is sufficient for dissemination and implementation. Intersecting gaps include the need to (1) reconsider how the evidence base is determined, (2) improve understanding of contextual effects on implementation, (3) sharpen the focus on health equity in how we approach and build the evidence-base, (4) conduct more policy implementation research and evaluation, and (5) learn from audience and stakeholder perspectives. We offer 15 recommendations to assist in filling these gaps and describe a set of tools for enhancing the evidence most needed in implementation science.

CONCLUSIONS

To address our recommendations, we see capacity as a necessary ingredient to shift the field's approach to evidence. Capacity includes the "push" for implementation science where researchers are trained to develop and evaluate evidence which should be useful and feasible for implementers and reflect community or stakeholder priorities. Equally important, there has been inadequate training and too little emphasis on the "pull" for implementation science (e.g., training implementers, practice-based research). We suggest that funders and reviewers of research should adopt and support a more robust definition of evidence. By critically examining the evolving nature of evidence, implementation science can better fulfill its vision of facilitating widespread and equitable adoption, delivery, and sustainment of scientific advances.

Mechanism mapping to advance research on implementation strategies

Elvin Hsing Geng and colleagues discuss mechanism mapping and its utility in conceptualizing and understanding how implementation strategies produce desired effects.

Evidence-based policymaking when evidence is incomplete: The case of HIV programme integration

Jan Hontelez and co-authors discuss the use of different types of evidence to inform HIV program integration.

Implementing Implementation Research: Teaching Implementation Research to HIV Researchers

PURPOSE OF REVIEW

Given the growth in HIV-related implementation research, there is a need to expand the workforce and rigor through implementation science (IS) training and mentorship. Our objective is to review IS training opportunities for HIV-focused researchers and describe the approach and lessons learned from a recent HIV-related implementation research training initiative.

RECENT FINDINGS

IS training opportunities range from degree programs to short- and longer-term professional development institutes and community-focused institutional trainings. Until recently, there have not been extensive dedicated opportunities for implementation research training for HIV-focused investigators. To meet this gap, an inter-Center for AIDS Research IS Fellowship for early-stage investigators was launched in 2019, building on lessons learned from dissemination and implementation training programs. Key components of the HIV-focused IS fellowship include didactic training, mentorship, grant-writing, and development of HIV-IS collaborative networks. Fellows to-date were two-thirds junior faculty and one-third post-doctoral fellows, the majority (69%) with prior public health training. Perceived value of the program was high, with a median rating of 9 [IQR 8-9] on a 10-point scale. Overall, 22/27 (81%) Fellows from the first cohort submitted IS-related grants within 12 months of Fellowship completion, and by 1 year 13 grants had been funded among 10 investigators, 37% overall among Fellows. Mentors identified framing of IS questions as the top-ranked training priority for HIV-investigators. Increasing knowledge of the utility of IS may support more grants focused on optimal implementation of HIV treatment and prevention strategies. Experiences from mentors and trainees engaged in an IS-focused fellowship for HIV investigators demonstrate the demand and value of a dedicated training program and reinforce the importance of mentorship.

Improving Care Outcomes for PLWH Experiencing Homelessness and Unstable Housing: a Synthetic Review of Clinic-Based Strategies

PURPOSE OF REVIEW

Singular interventions targeting vulnerable populations of people living with HIV (PLWH) are necessary for reducing new infections and optimizing individual-level outcomes, but extant literature for PLWH who experience homelessness and unstable housing (HUH) has not been compiled. To inform implementation of clinic-based programs that improve care outcomes in this population, we present a synthetic review of key studies examining clinic-based interventions, specifically case management, patient navigation, financial incentives, and the use of mobile technology.

RECENT FINDINGS

Results from unimodal interventions are mixed or descriptive, are limited by inability to address related multi-modal barriers to care, and do not address major challenges to implementation. Multi-component interventions are needed, but gaps in our knowledge base may limit widespread uptake of such interventions before further data are compiled. Future research evaluating interventions for PLWH experiencing HUH should include implementation outcomes in order to facilitate adaptation across diverse clinical settings.