Social determinants of health and US cancer screening interventions: A systematic review.

There remains a need to synthesize linkages between social determinants of health (SDOH) and cancer screening to reduce persistent inequities contributing to the US cancer burden. The authors conducted a systematic review of US-based breast, cervical, colorectal, and lung cancer screening intervention studies to summarize how SDOH have been considered in interventions and relationships between SDOH and screening. Five databases were searched for peer-reviewed research articles published in English between 2010 and 2021. The Covidence software platform was used to screen articles and extract data using a standardized template. Data items included study and intervention characteristics, SDOH intervention components and measures, and screening outcomes. The findings were summarized using descriptive statistics and narratives. The review included 144 studies among diverse population groups. SDOH interventions increased screening rates overall by a median of 8.4 percentage points (interquartile interval, 1.8-18.8 percentage points). The objective of most interventions was to increase community demand (90.3%) and access (84.0%) to screening. SDOH interventions related to health care access and quality were most prevalent (227 unique intervention components). Other SDOH, including educational, social/community, environmental, and economic factors, were less common (90, 52, 21, and zero intervention components, respectively). Studies that included analyses of health policy, access to care, and lower costs yielded the largest proportions of favorable associations with screening outcomes. SDOH were predominantly measured at the individual level. This review describes how SDOH have been considered in the design and evaluation of cancer screening interventions and effect sizes for SDOH interventions. Findings may guide future intervention and implementation research aiming to reduce US screening inequities.

An Examination of Factors Affecting State Legislators' Support for Parity Laws for Different Mental Illnesses.

Mental health parity legislation can improve mental health outcomes. U.S. state legislators determine whether state parity laws are adopted, making it critical to assess factors affecting policy support. This study examines the prevalence and demographic correlates of legislators' support for state parity laws for four mental illnesses- major depression disorder, post-traumatic stress disorder (PTSD), schizophrenia, and anorexia/bulimia. Using a 2017 cross-sectional survey of 475 U.S. legislators, we conducted bivariate analyses and multivariate logistic regression. Support for parity was highest for schizophrenia (57%), PTSD (55%), and major depression (53%) and lowest for anorexia/bulimia (40%). Support for parity was generally higher among females, more liberal legislators, legislators in the Northeast region of the country, and those who had previously sought treatment for mental illness. These findings highlight the importance of better disseminating evidence about anorexia/bulimia and can inform dissemination efforts about mental health parity laws to state legislators.

A scoping review of frameworks in empirical studies and a review of dissemination frameworks.

BACKGROUND: The field of dissemination and implementation (D&I) research has grown immensely in recent years. However, the field of dissemination research has not coalesced to the same degree as the field of implementation research. To advance the field of dissemination research, this review aimed to (1) identify the extent to which dissemination frameworks are used in dissemination empirical studies, (2) examine how scholars define dissemination, and (3) identify key constructs from dissemination frameworks. METHODS: To achieve aims 1 and 2, we conducted a scoping review of dissemination studies published in D&I science journals. The search strategy included manuscripts published from 1985 to 2020. Articles were included if they were empirical quantitative or mixed methods studies about the dissemination of information to a professional audience. Studies were excluded if they were systematic reviews, commentaries or conceptual papers, scale-up or scale-out studies, qualitative or case studies, or descriptions of programs. To achieve aim 1, we compiled the frameworks identified in the empirical studies. To achieve aim 2, we compiled the definitions from dissemination from frameworks identified in aim 1 and from dissemination frameworks identified in a 2021 review (Tabak RG, Am J Prev Med 43:337-350, 2012). To achieve aim 3, we compile the constructs and their definitions from the frameworks. FINDINGS: Out of 6017 studies, 89 studies were included for full-text extraction. Of these, 45 (51%) used a framework to guide the study. Across the 45 studies, 34 distinct frameworks were identified, out of which 13 (38%) defined dissemination. There is a lack of consensus on the definition of dissemination. Altogether, we identified 48 constructs, divided into 4 categories: process, determinants, strategies, and outcomes. Constructs in the frameworks are not well defined. IMPLICATION FOR D&I RESEARCH: This study provides a critical step in the dissemination research literature by offering suggestions on how to define dissemination research and by cataloging and defining dissemination constructs. Strengthening these definitions and distinctions between D&I research could enhance scientific reproducibility and advance the field of dissemination research.

Social determinants of health and cancer screening implementation and outcomes in the USA: a systematic review protocol.

BACKGROUND: Improving the delivery, uptake, and implementation of cancer screening to meet evidence-based recommendations is needed to reduce persistent cancer health disparities in the USA. Current national public health targets emphasize the role of social determinants of health (SDOH) on cancer screening. However, there remains a need to explicate these linkages, toward the goal of identifying and implementing effective interventions that target and address SDOH to reduce inequities in cancer screening. METHODS: We will conduct a systematic review of English language peer-reviewed original research articles published between 2010 and 2021 that describe observational (qualitative and quantitative) and intervention studies conducted in the USA. In alignment with Healthy People 2030, we will include studies of breast, cervical, colorectal, and/or lung cancer screening. Guided by multiple SDOH frameworks, we will broadly define SDOH by five domain areas: economic stability, education access and quality, healthcare access and quality, neighborhood and built environment, and social and community context. Following systematic literature searches in five databases (Ovid MEDLINE, Embase, CINAHL, Web of Science, Cochrane Library) and piloting of screening procedures, reviewers will independently screen titles/abstracts for potential relevance. Reviewer pairs will then screen full text articles for eligibility criteria. We will extract data items from included articles, including study characteristics, cancer screening intervention information, and coding of SDOH constructs. We will assess study quality using the Mixed Methods Appraisal Tool and synthesize our findings using narrative, descriptive statistics, tables, and figures. Our approach will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) recommendations. DISCUSSION: By completing this systematic review, we will summarize recent literature on SDOH and cancer screening, identify research gaps for inclusion of SDOH, and propose future opportunities for advancing equity in cancer screening by integrating SDOH as part of the implementation context to promote uptake, sustainability, and scale-up in the implementation of screening guidelines. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021276582 .

Quantitative measures used in empirical evaluations of mental health policy implementation: A systematic review.

Background: Mental health is a critical component of wellness. Public policies present an opportunity for large-scale mental health impact, but policy implementation is complex and can vary significantly across contexts, making it crucial to evaluate implementation. The objective of this study was to (1) identify quantitative measurement tools used to evaluate the implementation of public mental health policies; (2) describe implementation determinants and outcomes assessed in the measures; and (3) assess the pragmatic and psychometric quality of identified measures. Method: Guided by the Consolidated Framework for Implementation Research, Policy Implementation Determinants Framework, and Implementation Outcomes Framework, we conducted a systematic review of peer-reviewed journal articles published in 1995-2020. Data extracted included study characteristics, measure development and testing, implementation determinants and outcomes, and measure quality using the Psychometric and Pragmatic Evidence Rating Scale. Results: We identified 34 tools from 25 articles, which were designed for mental health policies or used to evaluate constructs that impact implementation. Many measures lacked information regarding measurement development and testing. The most assessed implementation determinants were readiness for implementation, which encompassed training (n = 20, 57%) and other resources (n = 12, 34%), actor relationships/networks (n = 15, 43%), and organizational culture and climate (n = 11, 31%). Fidelity was the most prevalent implementation outcome (n = 9, 26%), followed by penetration (n = 8, 23%) and acceptability (n = 7, 20%). Apart from internal consistency and sample norms, psychometric properties were frequently unreported. Most measures were accessible and brief, though minimal information was provided regarding interpreting scores, handling missing data, or training needed to administer tools. Conclusions: This work contributes to the nascent field of policy-focused implementation science by providing an overview of existing measurement tools used to evaluate mental health policy implementation and recommendations for measure development and refinement. To advance this field, more valid, reliable, and pragmatic measures are needed to evaluate policy implementation and close the policy-to-practice gap. Plain Language Summary: Mental health is a critical component of wellness, and public policies present an opportunity to improve mental health on a large scale. Policy implementation is complex because it involves action by multiple entities at several levels of society. Policy implementation is also challenging because it can be impacted by many factors, such as political will, stakeholder relationships, and resources available for implementation. Because of these factors, implementation can vary between locations, such as states or countries. It is crucial to evaluate policy implementation, thus we conducted a systematic review to identify and evaluate the quality of measurement tools used in mental health policy implementation studies. Our search and screening procedures resulted in 34 measurement tools. We rated their quality to determine if these tools were practical to use and would yield consistent (i.e., reliable) and accurate (i.e., valid) data. These tools most frequently assessed whether implementing organizations complied with policy mandates and whether organizations had the training and other resources required to implement a policy. Though many were relatively brief and available at little-to-no cost, these findings highlight that more reliable, valid, and practical measurement tools are needed to assess and inform mental health policy implementation. Findings from this review can guide future efforts to select or develop policy implementation measures.

A Perspective on Implementation Outcomes and Strategies to Promote the Uptake of COVID-19 Vaccines.

Recent articles have highlighted the importance of incorporating implementation science concepts into pandemic-related research. However, limited research has been documented to date regarding implementation outcomes that may be unique to COVID-19 vaccinations and how to utilize implementation strategies to address vaccine program-related implementation challenges. To address these gaps, we formed a global COVID-19 implementation workgroup of implementation scientists who met weekly for over a year to review the available literature and learn about ongoing research during the pandemic. We developed a hierarchy to prioritize the applicability of "lessons learned" from the vaccination-related implementation literature. We identified applications of existing implementation outcomes as well as identified additional implementation outcomes. We also mapped implementation strategies to those outcomes. Our efforts provide rationale for the utility of using implementation outcomes in pandemic-related research. Furthermore, we identified three additional implementation outcomes: availability, health equity, and scale-up. Results include a list of COVID-19 relevant implementation strategies mapped to the implementation outcomes.

A narrative review of HPV vaccination interventions in rural U.S. communities.

Uptake of human papillomavirus (HPV) vaccine in the United States (U.S.) is far below the Healthy People 2020 goal of 80% coverage among adolescents. In rural communities, HPV vaccination coverage is low, yet incidence and mortality rates of HPV-associated cancer are high. Much of the research focused on HPV vaccination in rural U.S. communities has involved qualitative investigations, observations, survey research, and secondary data analysis with limited implementation of interventional study designs. The purpose of this narrative review was to examine intervention studies to increase HPV vaccination in rural settings and to summarize study characteristics and associated outcomes. PubMed, PsycINFO, CINAHL, and Web of Science were searched utilizing systematic narrative review methodology for studies describing implementation of HPV vaccination interventions in rural U.S. settings from January 2006-December 2019. Using specific search criteria, 991 studies were identified. After abstract review, 30 full-text articles were assessed for eligibility, and 15 met the inclusion criteria. The 15 articles - published from 2011 to 2019 - described HPV vaccination interventions in rural settings of six states, including communities, health clinics, and schools. A range of primary and secondary outcomes were reported, including HPV vaccine receipt (series initiation, continuation, and/or completion); HPV vaccine knowledge; and/or cervical cancer knowledge. Across the studies, there was an absence of the description of rural context. As compared to the broader HPV vaccination intervention literature, interventions in rural settings were limited. More interventional research is needed in rural communities given the elevated rates of HPV-related cancer and low rates of HPV vaccine uptake.

Development, implementation, and evaluation of a novel guideline engine for pediatric patients with severe traumatic brain injury: a study protocol.

BACKGROUND: Severe traumatic brain injury (TBI) is a leading cause of death and disability for children. The Brain Trauma Foundation released evidence-based guidelines, a series of recommendations regarding care for pediatric patients with severe TBI. Clinical evidence suggests that adoption of guideline-based care improves outcomes in patients with severe TBI. However, guideline implementation has not been systematic or consistent in clinical practice. There is also a lack of information about implementation strategies that are effective given the nature of severe TBI care and the complex environment in the intensive care unit (ICU). Novel technology-based strategies may be uniquely suited to the fast-paced, transdisciplinary care delivered in the ICU, but such strategies must be carefully developed and evaluated to prevent unintended consequences within the system of care. This challenge presents a unique opportunity for intervention to more appropriately implement guideline-based care for pediatric patients with severe TBI. METHODS: This mixed-method study will develop a novel technology-based bedside guideline engine (the implementation strategy) to facilitate uptake of evidence-based guidelines (the intervention) for management of severe TBI. Group model building and systems dynamics will inform the guideline engine design, and bedside functionality will be initially assessed through patient simulation. Using the Promoting Action on Research Implementation in Health Services (PARIHS) framework, we will determine the feasibility of incorporating the guideline engine in the ICU. Study participants will include pediatric patients with severe TBI and providers at three trauma centers. Quantitative data will include measures of guideline engine acceptance and organizational readiness for change. Qualitative data will include semi-structured interviews from clinicians. We will test the feasibility of incorporating the guideline engine in "real life practice" in preparation for a future clinical trial that will assess clinical and implementation outcomes, including feasibility, acceptability, and adoption of the guideline engine. DISCUSSION: This study will lead to the development and feasibility testing of an adaptable strategy for implementing guideline-based care for severe TBI, a strategy that meets the needs of individual critical care environments and patients. A future study will test the adaptability and impact of the bedside guideline engine in a randomized clinical trial.

Actual Causes of Death in Relation to Media, Policy, and Funding Attention: Examining Public Health Priorities.

Despite numerous public health advancements over the last century, we continue to under-invest in prevention and public health efforts. As a result, one of the most challenging aspects of public health is prioritizing the use of limited resources. Building on the foundation of previous researchers, the goal of this exploratory study was to provide current estimates for the actual causes of death, media attention, policy focus, and research funding in the United States. In addition, we sought to calculate and compare media attention, policy attention, and research funding trends to better assess the nation's prioritization of health issues. Using a systematic approach, we searched available databases, including Media Cloud, Nexis Uni, Congress.gov, and the Department of Health and Human Services Tracking Accountability in Government Grants System from January 1, 2010-December 31, 2019 and compared how the actual causes of death in the United States align with health-related media attention, policy attention, and federal spending. Overall, our findings suggest that our priorities are not well-aligned with the actual causes of death. Certain actual causes appear to be consistently misaligned across media, legislative, and financial sectors (e.g., tobacco). This work highlights the importance of multiple strategies-media coverage, national legislation, and government spending-as indicators of public health attention and priorities. These results may inform discussions about how to best allocate U.S. public health resources to better align with the actual causes of death.

Quantitative measures of health policy implementation determinants and outcomes: a systematic review.

BACKGROUND: Public policy has tremendous impacts on population health. While policy development has been extensively studied, policy implementation research is newer and relies largely on qualitative methods. Quantitative measures are needed to disentangle differential impacts of policy implementation determinants (i.e., barriers and facilitators) and outcomes to ensure intended benefits are realized. Implementation outcomes include acceptability, adoption, appropriateness, compliance/fidelity, feasibility, penetration, sustainability, and costs. This systematic review identified quantitative measures that are used to assess health policy implementation determinants and outcomes and evaluated the quality of these measures. METHODS: Three frameworks guided the review: Implementation Outcomes Framework (Proctor et al.), Consolidated Framework for Implementation Research (Damschroder et al.), and Policy Implementation Determinants Framework (Bullock et al.). Six databases were searched: Medline, CINAHL Plus, PsycInfo, PAIS, ERIC, and Worldwide Political. Searches were limited to English language, peer-reviewed journal articles published January 1995 to April 2019. Search terms addressed four levels: health, public policy, implementation, and measurement. Empirical studies of public policies addressing physical or behavioral health with quantitative self-report or archival measures of policy implementation with at least two items assessing implementation outcomes or determinants were included. Consensus scoring of the Psychometric and Pragmatic Evidence Rating Scale assessed the quality of measures. RESULTS: Database searches yielded 8417 non-duplicate studies, with 870 (10.3%) undergoing full-text screening, yielding 66 studies. From the included studies, 70 unique measures were identified to quantitatively assess implementation outcomes and/or determinants. Acceptability, feasibility, appropriateness, and compliance were the most commonly measured implementation outcomes. Common determinants in the identified measures were organizational culture, implementation climate, and readiness for implementation, each aspects of the internal setting. Pragmatic quality ranged from adequate to good, with most measures freely available, brief, and at high school reading level. Few psychometric properties were reported. CONCLUSIONS: Well-tested quantitative measures of implementation internal settings were under-utilized in policy studies. Further development and testing of external context measures are warranted. This review is intended to stimulate measure development and high-quality assessment of health policy implementation outcomes and determinants to help practitioners and researchers spread evidence-informed policies to improve population health. REGISTRATION: Not registered.

Endpoint surrogacy in oncology Phase 3 randomised controlled trials.

Endpoint surrogacy is an important concept in oncology trials. Using a surrogate endpoint like progression-free survival as the primary endpoint-instead of overall survival-would lead to a potential faster drug approval and therefore more cancer patients with an earlier opportunity to receive the newly approved drugs.

Parent and Provider Preferences for Parenting Intervention Delivery in Rural Appalachia: A Qualitative Analysis Guiding Adaptation.

The public health impact of behavioral parent training (BPT) is limited, especially in underserved communities such as rural central Appalachia. To improve access to BPT in this region, we completed the first two steps of the ADAPT-ITT framework for systematic adaptation of evidence-based interventions: (1) assessing community perspectives about BPT delivery, and (2) deciding upon a specific intervention and adaptations needed to increase its acceptability and accessibility in rural central Appalachian counties. Guided by a community advisory board, we conducted key informant interviews with parents (N = 21) and three focus groups with child service providers to elicit stakeholders' perspectives about child behavior problems in their communities; existing resources; and preferences regarding four characteristics of BPT delivery: interventionist, modality, dose, and location. Results of directed content analysis led to the selection of local, trusted community health workers to deliver a brief, tailored BPT with flexibility in modality and location.

Does the Andersen Behavioral Model of Health Services Use predict college students' use of on-campus mental health services?

Objective: 10-50% of college students meet the diagnostic criteria for one or more mental illnesses; unfortunately, less than half seek treatment. This study assessed the predictive power of specific variables on students' use of on-campus mental health resources using the American College Health Association's National College Health Assessment (ACHA-NCHA) II. Participants: Respondents included undergraduate and graduate students ages 18-35 years (n = 96,121). Methods: We analyzed data from the ACHA-NCHA II Fall 2014 and Spring 2015. Andersen's Behavioral Model of Health Services Use enabled selection of predisposing, enabling, and need predictor variables; these were analyzed individually and collectively. Results: Predisposing, enabling, and need variables accounted for 9%, 2.3%, and 17% of the overall variance. Significant variables associated with a student's decision to access on-campus mental health services accounted for 23% of variance total. Conclusions: This insight could allow universities to better recognize students at-risk for needing but not accessing mental health services.

Stress, stressors, and substance use: Differential risk for hookah use among African American college students.

Using differential, multivariable risk models, we assessed the contribution of substance use and stress/traumatic events to hookah use among African American college students (n = 1,402) using data from the Fall 2012 American College Health Association-National College Health Assessment (ACHA-NCHA) II. Lifetime hookah use was 24.8%, with 34.2% of lifetime users having done so in the past 30 days. Compared to nonusers, hookah users had significantly higher use rates of alcohol, marijuana, other tobacco, and other drugs. Furthermore, hookah use was more likely among those with cumulative stress, yet less likely among older students. An implication is that prevention messages may need to be tailored for African American college students and particularly target younger students, substance users, and those with cumulative stress. These findings also inform policy discussions regarding hookah use on college campuses.

Fatigue and physical activity: Potential modifiable contributors to parenting sense of competence.

OBJECTIVES: Parenting sense of competence, as measured by the Parenting Sense of Competence Scale (PSCS), is defined as one's levels of satisfaction and self-efficacy experienced in the parenting role. Previous studies have identified significant associations among PSCS scores and a host of parenting characteristics predictive of child outcomes. Existing approaches to improving parenting sense of competence focus on developing parenting knowledge and skills; however, other modifiable contributing factors to parenting sense of competence may exist. We examined associations among fatigue, physical activity, and parenting sense of competence in a community sample of female primary caregivers of young children (N=137) recruited from a university-based pediatric primary care clinic. METHODS: Participants completed measures of child disruptive behavior disorders, parent fatigue, and parent physical activity level. Parenting sense of competence was measured with the 16-item PSCS. RESULTS: Participants' mean age was 32 years (SD=8 years), and most were non-Hispanic (87%) and White (70%). Multiple linear regression analyses revealed significant independent associations of fatigue (ß=-0.19, p=.02) and physical activity level (ß=0.20 and ß=0.25, p<.05) with parenting sense of competence, controlling for child disruptive behaviors, child age, and socioeconomic status. CONCLUSIONS: In this non-clinical sample of mothers of young children, the significant relationships among fatigue, physical activity level, and parenting sense of competence could suggest potential targets for preventive intervention.

Evaluating centralized technical assistance as an implementation strategy to improve cancer prevention and control.

PURPOSE: In 2015-2016, the Comprehensive Cancer Control National Partnership provided technical assistance workshops to support 22 cancer coalitions in increasing human papillomavirus (HPV) vaccination uptake and increasing colorectal cancer (CRC) screening in their local communities. As national efforts continue to invest in providing technical assistance, there is a current gap in understanding its use as a strategy to accelerate implementation of evidence-based interventions (EBIs) for cancer prevention. The objective of this study was to evaluate the impact of technical assistance on the participants' knowledge, attitudes, and skills for implementing EBIs in their local context and enhancing state team collaboration. METHODS: Data were collected August-November 2017 using web-based questionnaires from 44 HPV workshop participants and 66 CRC workshop participants. RESULTS: Both HPV vaccination and CRC screening workshop participants reported changes in knowledge, attitudes, and skills related to implementing EBIs in their local state context. Several participants reported increased abilities in communicating and coordinating with partners in their states and utilizing additional implementation strategies to increase HPV vaccination uptake and CRC screening rates. CONCLUSIONS: Findings from this study suggest that providing technical assistance to members of comprehensive cancer control coalitions is useful in promoting collaborations and building capacity for implementing EBIs for cancer prevention and control.

Variation in Research Designs Used to Test the Effectiveness of Dissemination and Implementation Strategies: A Review.

BACKGROUND: The need for optimal study designs in dissemination and implementation (D&I) research is increasingly recognized. Despite the wide range of study designs available for D&I research, we lack understanding of the types of designs and methodologies that are routinely used in the field. This review assesses the designs and methodologies in recently proposed D&I studies and provides resources to guide design decisions. METHODS: We reviewed 404 study protocols published in the journal Implementation Science from 2/2006 to 9/2017. Eligible studies tested the efficacy or effectiveness of D&I strategies (i.e., not effectiveness of the underlying clinical or public health intervention); had a comparison by group and/or time; and used ≥1 quantitative measure. Several design elements were extracted: design category (e.g., randomized); design type [e.g., cluster randomized controlled trial (RCT)]; data type (e.g., quantitative); D&I theoretical framework; levels of treatment assignment, intervention, and measurement; and country in which the research was conducted. Each protocol was double-coded, and discrepancies were resolved through discussion. RESULTS: Of the 404 protocols reviewed, 212 (52%) studies tested one or more implementation strategy across 208 manuscripts, therefore meeting inclusion criteria. Of the included studies, 77% utilized randomized designs, primarily cluster RCTs. The use of alternative designs (e.g., stepped wedge) increased over time. Fewer studies were quasi-experimental (17%) or observational (6%). Many study design categories (e.g., controlled pre-post, matched pair cluster design) were represented by only one or two studies. Most articles proposed quantitative and qualitative methods (61%), with the remaining 39% proposing only quantitative. Half of protocols (52%) reported using a theoretical framework to guide the study. The four most frequently reported frameworks were Consolidated Framework for Implementing Research and RE-AIM (n = 16 each), followed by Promoting Action on Research Implementation in Health Services and Theoretical Domains Framework (n = 12 each). CONCLUSION: While several novel designs for D&I research have been proposed (e.g., stepped wedge, adaptive designs), the majority of the studies in our sample employed RCT designs. Alternative study designs are increasing in use but may be underutilized for a variety of reasons, including preference of funders or lack of awareness of these designs. Promisingly, the prevalent use of quantitative and qualitative methods together reflects methodological innovation in newer D&I research.