Annual Review of Public Health - Current Issue

We present a detailed argument for how to integrate, or bridge, systems science thinking and methods with implementation science. We start by showing how fundamental systems science principles of structure, dynamics, information, and utility are relevant for implementation science. Then we examine the need for implementation science to develop and apply richer theories of complex systems. This can be accomplished by emphasizing a causal mechanisms approach. Identifying causal mechanisms focuses on the “cogs and gears” of public health, clinical, and organizational interventions. A mechanisms approach focuses on how a specific strategy will produce the implementation outcome. We show how connecting systems science to implementation science opens new opportunities for examining and addressing social determinants of health and conducting equitable and ethical implementation research. Finally, we present case studies illustrating successful applications of systems science within implementation science in community health policy, tobacco control, health care access, and breast cancer screening.

Implementation science focuses on enhancing the widespread uptake of evidence-based interventions into routine practice to improve population health. However, optimizing implementation science to promote health equity in domestic and global resource-limited settings requires considering historical and sociopolitical processes (e.g., colonization, structural racism) and centering in local sociocultural and indigenous cultures and values. This review weaves together principles of decolonization and antiracism to inform critical and reflexive perspectives on partnerships that incorporate a focus on implementation science, with the goal of making progress toward global health equity. From an implementation science perspective, wesynthesize examples of public health evidence-based interventions, strategies, and outcomes applied in global settings that are promising for health equity, alongside a critical examination of partnerships, context, and frameworks operationalized in these studies. We conclude with key future directions to optimize the application of implementation science with a justice orientation to promote global health equity.

Participatory approaches to implementation science (IS) offer an inclusive, collaborative, and iterative perspective on implementing and sustaining evidence-based interventions (EBIs) to advance health equity. This review provides guidance on the principles and practice of participatory IS, which enables academic researchers, community members, implementers, and other actors to collaboratively integrate practice-, community-, and research-based evidence into public health and health care services. With a foundational focus on supporting academics in coproducing knowledge and action, participatory IS seeks to improve health, reduce inequity, and create transformational change. The three main sections of this review provide (a) a rationale for participatory approaches to research in implementation science, (b) a framework for integrating participatory approaches in research utilizing IS theory and methods, and (c) critical considerations for optimizing the practice and impact of participatory IS. Ultimately, participatory approaches can move IS activities beyond efforts to make EBIs work within harmful systems toward transformative solutions that reshape these systems to center equity.

The promise of adaptation and adaptive designs in implementation science has been hindered by the lack of clarity and precision in defining what it means to adapt, especially regarding the distinction between adaptive study designs and adaptive implementation strategies. To ensure a common language for science and practice, authors reviewed the implementation science literature and found that the term adaptive was used to describe interventions, implementation strategies, and trial designs. To provide clarity and offer recommendations for reporting and strengthening study design, we propose a taxonomy that describes fixed versus adaptive implementation strategies and implementation trial designs. To improve impact, (a) futureimplementation studies should prespecify implementation strategy core functions that in turn can be taught to and replicated by health system/community partners, (b) funders should support exploratory studies that refine and specify implementation strategies, and (c) investigators should systematically address design requirements and ethical considerations (e.g., randomization, blinding/masking) with health system/community partners.

Environmental justice research is increasingly focused on community-engaged, participatory investigations that test interventions to improve health. Such research is primed for the use of implementation science–informed approaches to optimize the uptake and use of interventions proven to be effective. This review identifies synergies between implementation science and environmental justice with the goal of advancing both disciplines. Specifically, the article synthesizes the literature on neighborhood-, community-, and policy-level interventions in environmental health that address underlying structural determinants (e.g., structural racism) and social determinants of health. Opportunities to facilitate and scale the equitable implementation of evidence-based environmental health interventions are highlighted, using urban greening as an illustrative example. An environmental justice–focused version of the implementation science subway is provided, which highlights these principles: Remember and Reflect, Restore and Reclaim, and Reinvest. The review concludes with existing gaps and future directions to advance the science of implementation to promote environmental justice.

Conducting real-world public health experiments is often costly, time-consuming, and ethically challenging, so mathematical models have a long-standing history of being used to inform policy. Applications include estimating disease burden, performing economic evaluation of interventions, and responding to health emergencies such as pandemics. Models played a pivotal role during the COVID-19 pandemic, providing early detection of SARS-CoV-2’s pandemic potential and informing subsequent public health measures. While models offer valuable policy insights, they often carry limitations, especially when they depend on assumptions and incomplete data. Striking a balance between accuracy and timely decision-making in rapidly evolving situations such as disease outbreaks is challenging. Modelers need to explore the extent to which their models deviate from representing the real world. The uncertainties inherent in models must be effectively communicated to policy makers and the public. As the field becomes increasingly influential, it needs to develop reporting standards that enable rigorous external scrutiny.

The term prediabetes describes blood glucose levels above the normal range but below the threshold to diagnose type 2 diabetes. Several population health initiatives encourage a test and treat approach for prediabetes. In this approach, screening and identification of individuals with prediabetes should be followed by prompt referral to structured lifestyle modification programs or pharmacologic interventions that have been shown to prevent or delay the progression to type 2 diabetes in clinical trials. Here we provide a critical review of evidence for this test and treat approach by examining health outcomes associated with prediabetes and the availability and effectiveness of lifestyle modification approaches that target prediabetes. We also describe current limitations to the reach and uptake of evidence-based treatment options for prediabetes. Finally, we highlight lessons learned from identifying and labeling other preconditions to consider challenges and opportunities that may arise with increasing awareness of prediabetes as part of routine preventive care.

The monolithic misrepresentation of Asian American (AsAm) populations has maintained assumptions that AsAm people are not burdened by health disparities and social and economic inequities. However, the story is more nuanced. We critically review AsAm health research to present knowledge of AsAm health profiles from the past two decades and present findings and opportunities across three topical domains: (a) general descriptive knowledge, (b) factors affecting health care uptake, and (c) effective interventions. Much of the literature emphasized underutilization of health care services; low knowledge and awareness among AsAms about health-related risk factors, prevention, diagnosis, and treatment; inadequate efforts by health systems to improve language access, provider–patient communication, and trust; and the critical roles of community- and faith-based organizations and leaders in health promotion initiatives. Future opportunities for AsAm health research will require adoption of and significant investment in community-engaged research infrastructure to increase representation, funding, and research innovation for AsAm communities.

Fifteen years ago, public health experts urged industry, governments, and advocates to take action to dramatically improve the unhealthy food-marketing environment surrounding children in order to address the global childhood obesity crisis. Since then, research has confirmed that food marketing to children has far-reaching negative effects on their diets and health, takes advantage of adolescent vulnerabilities, and contributes to health disparities. In addition, digital marketing has profoundly changed young people's engagement with brands. Moreover, reliance on industry self-regulation as a solution has proven ineffective. Government-led policies have been more successful, but they remain limited in scope and challenging to adopt and implement. New approaches are necessary to increase public and policy maker awareness that food marketing is more than a nuisance, that it threatens the long-term health of children and adolescents worldwide, and that meaningful governmental action is urgently required to curtail industry's negative impact on young people's well-being.

Precarious employment (PE), which encompasses the power relations between workers and employers, is a well-established social determinant of health that has strong ramifications for health and health inequity. In this review, we discuss advances in the measurement of this multidimensional construct and provide recommendations for overcoming continued measurement challenges. We then evaluate recent evidence of the negative health impacts of PE, with a focus on the burgeoning studies from North America and South America. We also establish the role of PE in maintaining and perpetuating health inequities and review potential policy solutions to help alleviate its health burden. Last, we discuss future research directions with a call for a better understanding of the heterogeneity within PE and for research that focuses both on upstream drivers that shape PE and its impacts on health, as well as on the mechanisms by which PE causes poor health.

The future of plant-based diets is a complex public health issue inextricably linked to planetary health. Shifting the world's population to consume nutrient-rich, plant-based diets is among the most impactful strategies to transition to sustainable food systems to feed 10 billion people by 2050. This review summarizes how international expert bodies define sustainable diets and food systems and describes types of sustainable dietary patterns. It also explores how the type and proportion of plant- versus animal-source foods and alternative proteins relate to sustainable diets to reduce diet-related morbidity and mortality. Thereafter, we synthesize evidence for current challenges and actions needed to achieve plant-based sustainable dietary patterns using a conceptual framework with principles to promote human health, ecological health, social equity, and economic prosperity. We recommend strategies for governments, businesses, and civil society to encourage marketplace choices that lead to plant-rich sustainable diets within healthy, equitable, and resilient agroecological food systems.

Violence against women, especially intimate partner violence, is recognized as a global public health issue due to its prevalence and global reach. This article outlines the scope of the issue, with respect to its prevalence, health outcomes, and risk factors, and identifies key milestones that led to its global recognition: methodological and data advances, acknowledgment as a criminal justice and health issue, support by the global women's movement, and the robust evidence demonstrating that intimate partner violence is preventable. Key issues for the future include recognition and consideration of intersectionality in research, improvements in the measurement of other forms of violence against women, and the need to scale up prevention efforts that have documented success. Violence against women is an urgent priority as it affects individuals, their families and surroundings, and the entire global health community.

Climate change poses a significant occupational health hazard. Rising temperatures and more frequent heat waves are expected to cause increasing heat-related morbidity and mortality for workers across the globe. Agricultural, construction, military, firefighting, mining, and manufacturing workers are at particularly high risk for heat-related illness (HRI). Various factors, including ambient temperatures, personal protective equipment, work arrangements, physical exertion, and work with heavy equipment may put workers at higher risk for HRI. While extreme heat will impact workers across the world, workers in low- and middle-income countries will be disproportionately affected. Tracking occupational HRI will be critical to informing prevention and mitigation strategies. Renewed investment in these strategies, including workplace heat prevention programs and regulatory standards for indoor and outdoor workers, will be needed. Additional research is needed to evaluate the effectiveness of interventions in order to successfully reduce the risk of HRI in the workplace.

The concept of workplace safety and health has focused largely on preventing accidents and on minimizing hazardous exposures. However, because workers spend a substantial part of their waking hours at the workplace, the potential to influence the health of a large proportion of the world's population through the workplace is enormous. The opportunities to carry out health promotion and chronic disease prevention activities at the workplace are countless, including (a) health screening; (b) tobacco cessation activities; (c) the promotion of healthy food choices and weight loss; (d) active breaks with physical exercise in terms of microexercise, enhancement of infrastructure to stimulate physical activity, and organization of work tasks to facilitate incidental physical activity; and (e) routine vaccinations. This review discusses the key factors necessary to implement health promotion and chronic disease prevention programs at the workplace (SWOLE model) and discusses the different foci and possibilities with respect to the differing nature of work for the blue- versus white-collar workforce.

Food insecurity affects an estimated 691–783 million people globally and is disproportionately high in Africa and Asia. It arises from poverty, armed conflict, and climate change, among other demographic and globalization forces. This review summarizes evidence for policies and practices across five elements of the agrifood system framework and identifies gaps that inform an agenda for future research. Under availability, imbalanced agriculture policies protect primarily staple food producers, and there is limited evidence on food security impacts for smallholder and women food producers. Evidence supports the use of cash transfers and food aid for affordability and school feeding for multiple benefits. Food-based dietary guidelines can improve the nutritional quality of dietary patterns, yet they may not reflect the latest evidence or food supplies. Evidence from the newer food environment elements, promotion and sustainability, while relatively minimal, provides insight into achieving long-term impacts. To eliminate hunger, our global community should embrace integrated approaches and bring evidence-based policies and practices to scale.

Difference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2 DID design (single treatment group, single control group, two time periods) with more complex cases: additional treated groups, additional time periods of treatment, and treatment effects possibly varying over time. We outline newly uncovered threats to causal interpretation of DID estimates and the solutions the literature has proposed, relying on a decomposition that shows how the more complex DIDs are an average of simpler 2 × 2 DID subexperiments.

The global prevalence of depression has risen over the past three decades across all socioeconomic groups and geographic regions, with a particularly rapid increase in prevalence among adolescents (aged 12–17 years) in the United States. Depression imposes large health, economic, and societal costs, including reduced life span and quality of life, medical costs, and reduced educational attainment and workplace productivity. A wide range of treatment modalities for depression are available, but socioeconomic disparities in treatment access are driven by treatment costs, lack of culturally tailored options, stigma, and provider shortages, among other barriers. This review highlights the need for comparative research to better understand treatments’ relative efficacy, cost-effectiveness, scalability, and potential heterogeneity in efficacy across socioeconomic groups and country and cultural contexts. To address the growing burden of depression, mental health policy could consider reducing restrictions on the supply of providers, implementing digital interventions, reducing stigma, and promoting healthy lifestyles.