RESUMEN
BACKGROUND: Research on determinants of health policy implementation is limited, and conceptualizations of evidence and implementation success are evolving in the field. This study aimed to identify determinants of perceived policy implementation success and assess whether these determinants vary according to: (1) how policy implementation success is operationally defined [i.e., broadly vs. narrowly related to evidence-based practice (EBP) reach] and (2) the role of a person's organization in policy implementation. The study focuses on policies that earmark taxes for behavioral health services. METHODS: Web-based surveys of professionals involved with earmarked tax policy implementation were conducted between 2022 and 2023 (N = 272). The primary dependent variable was a 9-item score that broadly assessed perceptions of the tax policy positively impacting multiple dimensions of outcomes. The secondary dependent variable was a single item that narrowly assessed perceptions of the tax policy increasing EBP reach. Independent variables were scores mapped to determinants in the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework. Multiple linear regression estimated associations between measures of determinants and policy implementation success. RESULTS: Perceptions of tax attributes (innovation determinant), tax EBP implementation climate (inner-context determinant), and inter-agency collaboration in tax policy implementation (outer-context and bridging factor determinant) were significantly associated with perceptions of policy implementation success. However, the magnitude of associations varied according to how success was operationalized and by respondent organization type. For example, the magnitude of the association between tax attributes and implementation success was 42% smaller among respondents at direct service organizations than non-direct service organizations when implementation success was operationalized broadly in terms of generating positive impacts (ß = 0.37 vs. ß = 0.64), and 61% smaller when success was operationalized narrowly in terms of EBP reach (ß = 0.23 vs. ß = 0.59). Conversely, when success was operationalized narrowly as EBP reach, the magnitude of the association between EBP implementation climate and implementation success was large and significant among respondents at direct service organizations while it was not significant among respondents from non-direct service organizations (ß = 0.48 vs. ß=-0.06). CONCLUSION: Determinants of perceived policy implementation success may vary according to how policy implementation success is defined and the role of a person's organization in policy implementation. This has implications for implementation science and selecting policy implementation strategies.
Asunto(s)
Política de Salud , Impuestos , Humanos , Servicios de Salud Mental/organización & administración , Femenino , Masculino , Práctica Clínica Basada en la Evidencia/organización & administración , Ciencia de la Implementación , Persona de Mediana Edad , Adulto , Encuestas y CuestionariosRESUMEN
This case series evaluates the proportion of US counties and the US population residing within an area served by a certified community behavioral health clinic (CCBHC) from October 2016, when the first CCBHCs opened, to June 2024.
Asunto(s)
Servicios Comunitarios de Salud Mental , Humanos , Estados Unidos , Servicios Comunitarios de Salud Mental/organización & administración , CertificaciónRESUMEN
Introduction: Demonstrating the impact of implementation science presents a new frontier for the field, and operationalizing downstream impact is challenging. The Translational Science Benefits Model (TSBM) offers a new approach for assessing and demonstrating research impact. Here we describe integration of the TSBM into a mentored training network. Methods: Washington University's Clinical and Translational Science Awards TSBM team collaborated with a National Institute of Mental Health-supported training program, the Implementation Research Institute (IRI), a 2-year training institute in mental health implementation science. This partnership included three phases: (1) introductory workshop on research impact, (2) workshop on demonstrating impact, and (3) sessions to guide dissemination, including interactive tools and consultation with the TSBM research team. Fifteen IRI alumni were invited to participate in the pilot; six responded agreeing to participate in the training, develop TSBM case studies, and provide feedback about their experiences. Participants applied the tools and gave feedback on design, usability, and content. We present their case studies and describe how the IRI used the results to incorporate TSBM into future trainings. Results: The case studies identified 40 benefits spanning all four TSBM domains, including 21 community, 11 policy, five economic, and three clinical benefits. Participants reported that TSBM training helped them develop a framework for talking about impact. Selecting benefits was challenging for early-stage projects, suggesting the importance of early training. Conclusions: The case studies showcased the institute's impact and the fellows' work and informed refinement of tools and methods for incorporating TSBM into future IRI training.
RESUMEN
Policy Points Earmarked tax policies for behavioral health are perceived as having positive impacts related to increasing flexible funding, suggesting benefits to expand this financing approach. Implementation challenges related to these earmarked taxes included tax base volatility that impedes long-term service delivery planning and inequities in the distribution of tax revenue. Recommendations for designing or revising earmarked tax policies include developing clear guidelines and support systems to manage the administrative aspects of earmarked tax programs, cocreating reporting and oversight structures with system and service delivery agents, and selecting revenue streams that are relatively stable across years. CONTEXT: Over 200 cities and counties in the United States have implemented policies earmarking tax revenue for behavioral health services. This mixed-methods study was conducted with the aim of characterizing perceptions of the impacts of these earmarked tax policies, strengths and weaknesses of tax policy designs, and factors that influence decision making about how tax revenue is allocated for services. METHODS: Study data came from surveys completed by 274 officials involved in behavioral health earmarked tax policy implementation and 37 interviews with officials in a sample of jurisdictions with these taxes-California (n = 16), Washington (n = 12), Colorado (n = 6), and Iowa (n = 3). Interviews primarily explored perceptions of the advantages and drawbacks of the earmarked tax, perceptions of tax policy design, and factors influencing decisions about revenue allocation. FINDINGS: A total of 83% of respondents strongly agreed that it was better to have the tax than not, 73.2% strongly agreed that the tax increased flexibility to address complex behavioral health needs, and 65.1% strongly agreed that the tax increased the number of people served by evidence-based practices. Only 43.3%, however, strongly agreed that it was easy to satisfy tax-reporting requirements. Interviews revealed that the taxes enabled funding for services and implementation supports, such as training in the delivery of evidence-based practices, and supplemented mainstream funding sources (e.g., Medicaid). However, some interviewees also reported challenges related to volatility of funding, inequities in the distribution of tax revenue, and, in some cases, administratively burdensome tax reporting. Decisions about tax revenue allocation were influenced by goals such as reducing behavioral health care inequities, being responsive to community needs, addressing constraints of mainstream funding sources, and, to a lesser degree, supporting services considered to be evidence based. CONCLUSIONS: Earmarked taxes are a promising financing strategy to improve access to, and quality of, behavioral health services by supplementing mainstream state and federal financing.
RESUMEN
OBJECTIVE: The authors aimed to examine how certified community behavioral health clinics (CCBHCs) fulfill crisis service requirements and whether clinics added crisis services after becoming a CCBHC. METHODS: National survey data on CCBHC crisis services were paired with data on clinic features and the demographic and socioeconomic characteristics of the counties within a CCBHC service area. The dependent variables were whether CCBHCs provided the three categories of CCBHC crisis services (i.e., crisis call lines, mobile crisis response, and crisis stabilization) directly or through another organization and whether these services were added after becoming a CCBHC. Descriptive statistics and multivariable logistic regression analyses were performed with data about clinics and the counties they served. In total, 449 CCBHCs were surveyed in the summer of 2022, with a response rate of 56%. The final sample comprised 247 clinics. RESULTS: The number of CCBHC employees per 1,000 people within a CCBHC service area was significantly and positively associated with clinics providing some crisis services directly (mobile crisis response: adjusted OR [AOR]=1.46, 95% CI=1.08-1.98; crisis stabilization services: AOR=1.60, 95% CI=1.17-2.19). Compared with clinics that did not receive a CCBHC Medicaid bundled payment, clinics that received this payment had higher odds of adding mobile crisis response (AOR=2.52, 95% CI=1.28-4.97) and crisis stabilization services (AOR=3.19, 95% CI=1.51-6.72) after becoming a CCBHC. CONCLUSIONS: CCBHC initiatives, particularly CCBHC Medicaid bundled payments, may provide opportunities to increase the availability of behavioral health crisis services, but the sufficiency of this increase for meeting crisis care needs remains unknown.
RESUMEN
Like many under resourced, island communities, most of the municipalities in Puerto Rico are medically underserved. However, there is limited information about changes in hospital capacity and any regional disparities in availability of hospital services in Puerto Rico, especially given the multiple public health emergencies the island has faced in recent years (e.g. hurricanes, earthquakes, and COVID-19). This study described the trends in hospital capacity and utilization for the Island of Puerto Rico and by health regions from 2010 to 2020. We analyzed the 2021-22 Area Health Resource File (AHRF) and aggregated the data by seven health regions, which are groupings of municipalities defined by the Puerto Rico Department of Health. Ten-year estimates for hospital utilization were adjusted for population size by health region. During the more recent five-year period, there were decreases in hospitals, hospital beds, and surgeries, which represent a shift from the earlier five-year period. Over the 10 years of the study period, there was an overall decrease in population-adjusted measures of hospital utilization on the island of Puerto Rico-despite multiple disasters that would, theoretically, increase need for health care services. We also found variation in hospital capacity and utilization by health regions indicating the rate of change was not uniform across Puerto Rico. The capacity of Puerto Rico's hospital system has shrunk over the past decade which may pose a challenge when responding to recurrent major public health emergencies, especially within specific health regions.
Asunto(s)
COVID-19 , Puerto Rico , Humanos , COVID-19/epidemiología , Hospitales/estadística & datos numéricos , Capacidad de Camas en Hospitales/estadística & datos numéricos , Salud Pública/tendenciasRESUMEN
OBJECTIVE: This study aimed to characterize the perceived priorities of state and county policy makers for youth mental health services and the factors that influence those priorities. METHODS: Mental health agency officials (N=338; N=221 state officials, N=117 county officials) representing 49 states completed a Web-based survey in 2019-2020. On 5-point scales, respondents rated the extent to which 15 issues were priorities for their agency in providing youth mental health services and the extent to which nine factors influenced those priorities. RESULTS: Suicide was identified as the highest priority (mean±SD rating=4.38±0.94), followed by adverse childhood experiences and childhood trauma and then increasing access to evidence-based treatments. Budget issues (mean=4.27±0.92) and state legislative priorities (mean=4.01±0.99) were perceived as having the greatest influence on setting priorities. CONCLUSIONS: These findings provide insights into youth mental health policy priorities and can be used to guide implementation and dissemination strategies for research and program development within state and county systems.
RESUMEN
Typical quantitative evaluations of public policies treat policies as a binary condition, without further attention to how policies are implemented. However, policy implementation plays an important role in how the policy impacts behavioral and health outcomes. The field of policy-focused implementation science is beginning to consider how policy implementation may be conceptualized in quantitative analyses (e.g., as a mediator or moderator), but less work has considered how to measure policy implementation for inclusion in quantitative work. To help address this gap, we discuss four design considerations for researchers interested in developing or identifying measures of policy implementation using three independent NIH-funded research projects studying e-cigarette, food, and mental health policies. Mini case studies of these considerations were developed via group discussions; we used the implementation research logic model to structure our discussions. Design considerations include (1) clearly specifying the implementation logic of the policy under study, (2) developing an interdisciplinary team consisting of policy practitioners and researchers with expertise in quantitative methods, public policy and law, implementation science, and subject matter knowledge, (3) using mixed methods to identify, measure, and analyze relevant policy implementation determinants and processes, and (4) building flexibility into project timelines to manage delays and challenges due to the real-world nature of policy. By applying these considerations in their own work, researchers can better identify or develop measures of policy implementation that fit their needs. The experiences of the three projects highlighted in this paper reinforce the need for high-quality and transferrable measures of policy implementation, an area where collaboration between implementation scientists and policy experts could be particularly fruitful. These measurement practices provide a foundation for the field to build on as attention to incorporating measures of policy implementation into quantitative evaluations grows and will help ensure that researchers are developing a more complete understanding of how policies impact health outcomes.
RESUMEN
INTRODUCTION: Government agencies have identified evidence-based practice (EBP) dissemination as a pathway to high-quality behavioral health care for youth. However, gaps remain about how to best sustain EBPs in treatment organizations in the U.S., especially in resource-constrained settings like publicly-funded youth substance use services. One important, but understudied, determinant of EBP sustainment is alignment: the extent to which multi-level factors that influence sustainment processes and outcomes are congruent, consistent, and/or coordinated. This study examined the role of alignment in U.S. states' efforts to sustain the Adolescent Community Reinforcement Approach (A-CRA), an EBP for youth substance use disorders, during the COVID-19 pandemic. METHODS: In this mixed methods study, the qualitative investigation preceded and informed the quantitative investigation. We interviewed state administrators and providers (i.e., supervisors and clinicians) from 15 states that had completed a federal A-CRA implementation grant; providers also completed surveys. The sample included 50 providers from 35 treatment organizations that reported sustaining A-CRA when the COVID-19 pandemic began, and 20 state administrators. In qualitative thematic analyses, we applied the EPIS (Exploration, Preparation, Implementation, Sustainment) framework to characterize alignment processes that interviewees described as influential on sustainment. We then used survey items to quantitatively explore the associations described in qualitative themes, using bivariate linear regressions. RESULTS: At the time of interview, staff from 80 % of the treatment organizations (n = 28), reported sustaining A-CRA. Providers from both sustainer and non-sustainer organizations, as well as state administrators, described major sources of misalignment when state agencies ceased technical assistance post-grant, and because limited staff capacity conflicted with A-CRA's training model, which was perceived as time-intensive. Participants described the pandemic as exacerbating preexisting challenges, including capacity issues. Sustainer organizations reported seeking new funding to help sustain A-CRA. Quantitative associations between self-rated extent of sustainment and other survey items mostly followed the pattern predicted from the qualitative findings. CONCLUSIONS: The COVID-19 pandemic amplified longstanding A-CRA sustainment challenges, but treatment organizations already successfully sustaining A-CRA pre-pandemic largely continued. There are missed opportunities for state-level actors to coordinate with providers on the shared goal of EBP sustainment. A greater focus on alignment processes in research and practice could help states and providers strengthen sustainability planning.
Asunto(s)
COVID-19 , Trastornos Relacionados con Sustancias , Humanos , Trastornos Relacionados con Sustancias/terapia , Adolescente , COVID-19/epidemiología , Estados Unidos , Práctica Clínica Basada en la Evidencia , Masculino , Femenino , Investigación CualitativaRESUMEN
Puerto Rico, a territory of the United States since 1898, has recently experienced an increasing frequency and intensity of natural disasters and public health emergencies. In 2022, Hurricane Fiona became the latest storm to attract media attention and cast a light on Puerto Rico's deteriorating conditions, including infrastructural failings, health care provider shortages, and high levels of chronic illness. Although recent events have been uniquely devastating, decades of inequitable US federal policy practices have fueled the persistence of health inequities in the territory. Here we demonstrate how existing health and health care inequities in Puerto Rico have been exacerbated by compounding disasters but are rooted in the differential treatment of the territory under US federal policies. Specifically, we focus on the unequal US Federal Emergency Management Agency response to disasters in the territory, the lack of parity in federal Medicaid funding for Puerto Rico, and Puerto Rico's limited political power as a territory of the United States. We also provide empirically supported policy recommendations aimed at reducing health and health care inequities in the often-forgotten US territory of Puerto Rico. (Am J Public Health. 2024;114(S6):S478-S484. https://doi.org/10.2105/AJPH.2024.307585) [Formula: see text].
Asunto(s)
Disparidades en Atención de Salud , Puerto Rico , Humanos , Estados Unidos , Medicaid , Gobierno Federal , Política de Salud , Inequidades en Salud , DesastresRESUMEN
BACKGROUND: Policymaking is quickly gaining focus in the field of implementation science as a potential opportunity for aligning cross-sector systems and introducing incentives to promote population health, including substance use disorders (SUD) and their prevention in adolescents. Policymakers are seen as holding the necessary levers for realigning service infrastructure to more rapidly and effectively address adolescent behavioral health across the continuum of need (prevention through crisis care, mental health, and SUD) and in multiple locations (schools, primary care, community settings). The difficulty of aligning policy intent, policy design, and successful policy implementation is a well-known challenge in the broader public policy and public administration literature that also affects local behavioral health policymaking. This study will examine a blended approach of coproduction and codesign (i.e., Policy Codesign), iteratively developed over multiple years to address problems in policy formation that often lead to poor implementation outcomes. The current study evaluates this scalable approach using reproducible measures to grow the knowledge base in this field of study. METHODS: This is a single-arm, longitudinal, staggered implementation study to examine the acceptability and short-term impacts of Policy Codesign in resolving critical challenges in behavioral health policy formation. The aims are to (1) examine the acceptability, feasibility, and reach of Policy Codesign within two geographically distinct counties in Washington state, USA; (2) examine the impact of Policy Codesign on multisector policy development within these counties using social network analysis; and (3) assess the perceived replicability of Policy Codesign among leaders and other staff of policy-oriented state behavioral health intermediary organizations across the USA. DISCUSSION: This study will assess the feasibility of a specific approach to collaborative policy development, Policy Codesign, in two diverse regions. Results will inform a subsequent multi-state study measuring the impact and effectiveness of this approach for achieving multi-sector and evidence informed policy development in adolescent SUD prevention and treatment.
RESUMEN
Background: This study's aims are to: (1) Compare the acceptability and feasibility of five types of implementation strategies that could be deployed to increase the reach of evidence-based practices (EBPs) with revenue from policies that earmark taxes for behavioral health services, and (2) Illustrate how definitions of implementation strategies and measures of acceptability and feasibility can be used in policy-focused implementation science research. Methods: Web-based surveys of public agency and community organization professionals involved with earmarked tax policy implementation were completed in 2022-2023 (N = 211, response rate = 24.9%). Respondents rated the acceptability and feasibility of five types of implementation strategies (dissemination, implementation process, integration, capacity-building, and scale-up). Aggregate acceptability and feasibility scores were calculated for each type of strategy (scoring range 4-20). Analyses of variance compared scores across strategies and between organizational actor types. Findings: For acceptability, capacity-building strategies had the highest rating (M = 16.3, SD = 3.0), significantly higher than each of the four other strategies, p ≤ . 004), and scale-up strategies had the lowest rating (M = 15.6). For feasibility, dissemination strategies had the highest rating (M = 15.3, significantly higher than three of the other strategies, p ≤ .002) and scale-up strategies had the lowest rating (M = 14.4). Conclusions: Capacity-building and dissemination strategies may be well-received and readily deployed by policy implementers to support EBPs implementation with revenue from taxes earmarked for behavioral health services. Adapting definitions of implementation strategies for policy-focused topics, and applying established measures of acceptability and feasibility to these strategies, demonstrates utility as an approach to advance research on policy-focused implementation strategies.
RESUMEN
Many ecological studies examine health outcomes and disparities using administrative boundaries such as census tracts, counties, or states. These boundaries help us to understand the patterning of health by place, along with impacts of policies implemented at these levels. However, additional geopolitical units (units with both geographic and political meaning), such as congressional districts (CDs), present further opportunities to connect research with public policy. Here we provide a step-by-step guide on how to conduct disparities-focused analysis at the CD level. As an applied case study, we use geocoded vital statistics data from 2010-2015 to examine levels of and disparities in infant mortality and deaths of despair in the 19 US CDs of Pennsylvania for the 111th-112th (2009-2012) Congresses and 18 CDs for the 113th-114th (2013-2016) Congresses. We also provide recommendations for extending CD-level analysis to other outcomes, states, and geopolitical boundaries, such as state legislative districts. Increased surveillance of health outcomes at the CD level can help prompt policy action and advocacy and, hopefully, reduce rates of and disparities in adverse health outcomes.
Asunto(s)
Disparidades en el Estado de Salud , Mortalidad Infantil , Humanos , Pennsylvania/epidemiología , Mortalidad Infantil/tendencias , Lactante , Recién NacidoRESUMEN
OBJECTIVE: Federal loan repayment programs (LRPs) are one strategy to address the shortage of behavioral health providers. This scoping review aimed to identify and characterize the federal LRPs' impact on the U.S. behavioral health workforce. METHODS: A scoping review was conducted in accordance with JBI (formerly known as the Joanna Briggs Institute) methodology for scoping reviews. The authors searched the Ovid MEDLINE, Web of Science, APA PsycInfo, EconLit, PAIS Index, and Embase databases, and gray literature was also reviewed. Two coders screened each article's abstract and full text and extracted study data. Findings were narratively synthesized and conceptually organized. RESULTS: The full-text screening identified 17 articles that met eligibility criteria. Of these, eight were peer-reviewed studies, and all but one evaluated the National Health Service Corps (NHSC) LRP. Findings were conceptually organized into five categories: descriptive studies of NHSC behavioral health needs and the NHSC workforce (k=4); providers' perceptions of, and experiences with, the NHSC (k=2); associations between NHSC funding and the number of NHSC behavioral health providers (k=4); NHSC behavioral health workforce productivity and capacity (k=3); and federal LRP recruitment and retention (k=4). CONCLUSIONS: The literature on federal LRPs and their impact on the behavioral health workforce is relatively limited. Although federal LRPs are an important and effective tool to address the behavioral health workforce shortage, additional federal policy strategies are needed to attract and retain behavioral health providers and to diversify the behavioral health workforce.
Asunto(s)
Fuerza Laboral en Salud , Servicios de Salud Mental , Humanos , Estados Unidos , Servicios de Salud Mental/economía , Personal de Salud , Apoyo a la Formación Profesional/economía , Financiación GubernamentalRESUMEN
INTRODUCTION: Public policymakers are increasingly engaged in participatory model building processes, such as group model building. Understanding the impacts of policymaker participation in these processes on policymakers is important given that their decisions often have significant influence on the dynamics of complex systems that affect health. Little is known about the extent to which the impacts of participatory model building on public policymakers have been evaluated or the methods and measures used to evaluate these impacts. METHODS AND ANALYSIS: A scoping review protocol was developed with the objectives of: (1) scoping studies that have evaluated the impacts of facilitated participatory model building processes on public policymakers who participated in these processes; and (2) describing methods and measures used to evaluate impacts and the main findings of these evaluations. The Joanna Briggs Institute's Population, Concept, Context framework was used to formulate the article identification process. Seven electronic databases-MEDLINE (Ovid), ProQuest Health and Medical, Scopus, Web of Science, Embase (Ovid), CINAHL Complete and PsycInfo-will be searched. Identified articles will be screened according to inclusion and exclusion criteria and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist for scoping reviews will be used and reported. A data extraction tool will collect information across three domains: study characteristics, methods and measures, and findings. The review will be conducted using Covidence, a systematic review data management platform. ETHICS AND DISSEMINATION: The scoping review produced will generate an overview of how public policymaker engagement in participatory model building processes has been evaluated. Findings will be disseminated through peer-reviewed publications and to communities of practice that convene policymakers in participatory model building processes. This review will not require ethics approval because it is not human subject research.
Asunto(s)
Personal Administrativo , Lista de Verificación , Humanos , Manejo de Datos , Bases de Datos Factuales , MEDLINE , Literatura de Revisión como Asunto , Proyectos de InvestigaciónRESUMEN
BACKGROUND: Over the past three decades, policy actors and actions have been highly influential in supporting the implementation of evidence-based practices (EBPs) in mental health settings. An early examination of these actions resulted in the Policy Ecology Framework (PEF), which was originally developed as a tactical primer for state and local mental health regulators in the field of child mental health. However, the policy landscape for implementation has evolved significantly since the original PEF was published. An interrogation of the strategies originally proposed in the PEF is necessary to provide an updated menu of strategies to improve our understanding of the mechanisms of policy action and promote system improvement. OBJECTIVES: This paper builds upon the original PEF to address changes in the policy landscape for the implementation of mental health EBPs between 2009 and 2022. We review the current state of policy strategies that support the implementation of EBPs in mental health care and outline key areas for policy-oriented implementation research. Our review identifies policy strategies at federal, state, agency, and organizational levels, and highlights developments in the social context in which EBPs are implemented. Furthermore, our review is organized around some key changes that occurred across each PEF domain that span organizational, agency, political, and social contexts along with subdomains within each area. DISCUSSION: We present an updated menu of policy strategies to support the implementation of EBPs in mental health settings. This updated menu of strategies considers the broad range of conceptual developments and changes in the policy landscape. These developments have occurred across the organizational, agency, political, and social contexts and are important for policymakers to consider in the context of supporting the implementation of EBPs. The updated PEF expands and enhances the specification of policy levers currently available, and identifies policy targets that are underdeveloped (e.g., de-implementation and sustainment) but are becoming visible opportunities for policy to support system improvement. The updated PEF clarifies current policy efforts within the field of implementation science in health to conceptualize and better operationalize the role of policy in the implementation of EBPs.
Asunto(s)
Práctica Clínica Basada en la Evidencia , Salud Mental , Niño , Humanos , Políticas , Medio Social , Ciencia de la ImplementaciónRESUMEN
Background: This Viewpoint argues for consumers (people with lived experience and their families) to be amplified as key partners in dissemination and implementation science and practice. Method: We contend that consumer opinion and consumer demand can be harnessed to influence practitioners and policymakers. Results: Amplifying consumers' voices can improve the fit of evidence-based interventions to the intended end user. We offer recommendations of frameworks to engage consumers in the dissemination and implementation of health interventions. We discuss the primary types of evidence consumers may rely upon, including testimonials and lived experience. Conclusions: Our intention is for this Viewpoint to continue the momentum in dissemination and implementation science and practice of engaging consumers in our work.
Dissemination and implementation science has insufficiently acknowledged the importance of consumers (people with lived experience and their families) as partners in implementation initiatives. In this viewpoint, we highlight the role consumer opinion can play in influencing practitioners' and policymakers' decisions to sustainably implement evidence-based practices. We encourage implementation researchers and practitioners to solicit and respond to consumer perspectives during their implementation efforts.
RESUMEN
OBJECTIVE: The authors sought to characterize perceptions of the impacts, attributes, and support for taxes earmarked for behavioral health services and to compare perceptions of the taxes among professionals in California and Washington, two states differing in earmarked tax designs. METHODS: Surveys were completed by 155 public agency and community organization professionals involved in tax implementation in California (N=87) and Washington State (N=68) during 2022-2023 (29% response rate). Respondents indicated their perceptions of the taxes' impacts, attributes, and support. Responses were summed as aggregate scores and were also analyzed as individual items. Bivariate analyses were used to compare responses of professionals in California versus Washington State. RESULTS: Earmarked taxes were generally regarded positively. Of the respondents, >80% strongly agreed that the taxes increased funding for services and were helpful, and only 10% strongly agreed that the taxes decreased behavioral health funding from other sources. Substantially more respondents in California than in Washington State strongly agreed that taxes' reporting requirements were complicated (45% vs. 5%, p<0.001) and that the taxes increased unjustified scrutiny of services or systems (33% vs. 2%, p<0.001). However, more respondents in California than in Washington State also strongly agreed that the taxes increased public awareness about behavioral health (56% vs. 15%, p<0.001) and decreased behavioral health stigma (47% vs. 14%, p<0.001). CONCLUSIONS: Perceptions of the strengths and weaknesses of taxes earmarked for behavioral health services may vary by design features of the tax. Such features include stigma-reduction initiatives and tax spending and reporting requirements.
RESUMEN
BACKGROUND: In the USA, 19% of new HIV infections occur among cisgender women (cis women); however, only 10% of eligible cis women have been prescribed pre-exposure prophylaxis (PrEP) for the prevention of HIV infection (an evidence-based intervention). A fundamental challenge for expanding HIV prevention to cis women is ensuring implementation strategies are tailored to the various healthcare settings in which cis women seek care and the heterogeneous providers nested within these settings. This project's specific aims are to (1) explore clinician-level characteristics and organizational climate factors that are related to variability in adoption of PrEP service delivery as an evidence-based intervention for cis women; (2) identify latent audience segments of women's health providers as the related to PrEP acceptability, adoption, and maintenance and analyze demographic correlates of these segments; and (3) identify audience segment-specific implementation strategies to facilitate the adoption of PrEP as an evidence-based intervention among at-risk cis women. METHODS: Using the i-PARIHS framework, this mixed-methods study examines three domains for guiding audience segmentation to facilitate PrEP implementation for cis women: innovation (degree of fit with existing practices, usability), recipient beliefs and knowledge and context factors (organizational culture, readiness for change), needs to determine appropriate facilitation methods. To achieve aim 1, qualitative interviews will be conducted with PrEP-eligible cis women, women's health providers, and other key stakeholders. Aim 2 will consist of a quantitative survey among 340 women's health providers. Latent class analysis will be used to facilitate audience segmentation. To achieve aim 3, a panel of 5-8 providers for each audience segment will meet and engage in iterative discussions guided by Fernandez's implementation mapping to identify (1) implementation outcomes and performance objectives, determinants, and change objectives and (2) determine and refine of implementation strategies for each audience segment. DISCUSSION: This exploratory mixed methods study will provide an empirical foundation to inform the development implementations strategies aimed at increasing PrEP delivery to cis women among heterogenous groups of providers.