INTRODUCTION: Self-measured blood pressure monitoring with support is an evidence-based intervention that helps patients control their blood pressure. This systematic economic review describes how certain intervention aspects contribute to effectiveness, intervention cost, and intervention cost per unit of the effectiveness of self-measured blood pressure monitoring with support. METHODS: Papers published between data inception and March 2021 were identified from a database search and manual searches. Papers were included if they focused on self-measured blood pressure monitoring with support and reported blood pressure change and intervention cost. Papers focused on preeclampsia, kidney disease, or drug efficacy were excluded. Quality of estimates was assessed for effectiveness, cost, and cost per unit of effectiveness. Patient characteristics and intervention features were analyzed in 2021 to determine how they impacted effectiveness, intervention cost, and intervention cost per unit of effectiveness. RESULTS: A total of 22 studies were included in this review from papers identified in the search. Type of support was not associated with differences in cost and cost per unit of effectiveness. Lower cost and cost per unit of effectiveness were achieved with simple technologies such as interactive phone systems, smartphones, and websites and where providers interacted with patients only as needed. DISCUSSION: Some of the included studies provided only limited information on key outcomes of interest to this review. However, the strength of this review is the systematic collection and synthesis of evidence that revealed the associations between the characteristics of implemented interventions and their patients and the interventions' effectiveness and cost, a useful contribution to the fields of both research and implementation.

Introduction: The objective of this observational, cross-sectional study was to identify, document, and assess the progress made to date in implementing various processes involved in statewide community health worker (CHW) workforce development initiatives. Methods: From September 2017 to December 2020, we developed and applied a conceptual model of processes involved in implementing statewide CHW initiatives. One or more outputs were identified for each model process and assessed across the 50 states, D.C., and Puerto Rico using peer-reviewed and gray literature available as of September 2020. Results: Twelve statewide CHW workforce development processes were identified, and 21 outputs were assessed. We found an average of eight processes implemented per state, with seven states implementing all 12 processes. As of September 2020, 45 states had a multi-stakeholder CHW coalition and 31 states had a statewide CHW organization. In 20 states CHWs were included in Medicaid Managed Care Organizations or Health Plans. We found routine monitoring of statewide CHW employment in six states. Discussion: Stakeholders have advanced statewide CHW workforce development initiatives using the processes reflected in our conceptual model. Our results could help to inform future CHW initiative design, measurement, monitoring, and evaluation efforts, especially at the state level.

CONTEXT: There is a need for knowledge translation to advance health equity in the prevention and control of cardiovascular disease and type 2 diabetes. One recommended strategy is engaging community health workers (CHWs) to have a central role in related interventions. Despite strong evidence of effectiveness for CHWs, there is limited information examining the impact of state CHW policy interventions. This article describes the application of a policy research continuum to enhance knowledge translation of CHW workforce development policy in the United States. METHODS: During 2016-2019, a team of public health researchers and practitioners applied the policy research continuum, a multiphased systematic assessment approach that incorporates legal epidemiology to enhance knowledge translation of CHW workforce development policy interventions in the United States. The continuum consists of 5 discrete, yet interconnected, phases including early evidence assessments, policy surveillance, implementation studies, policy ratings, and impact studies. RESULTS: Application of the first 3 phases of the continuum demonstrated (1) how CHW workforce development policy interventions are linked to strong evidence bases, (2) whether existing state CHW laws are evidence-informed, and (3) how different state approaches were implemented. DISCUSSION: As a knowledge translation tool, the continuum enhances dissemination of timely, useful information to inform decision making and supports the effective implementation and scale-up of science-based policy interventions. When fully implemented, it assists public health practitioners in examining the utility of different policy intervention approaches, the effects of adaptation, and the linkages between policy interventions and more distal public health outcomes.

OBJECTIVE: Approximately 800 000 strokes occur annually in the United States. Stroke systems of care policies addressing prehospital and in-hospital care have been proposed to improve access to time-sensitive, lifesaving treatments for stroke. Policy surveillance of stroke systems of care laws supported by best available evidence could reveal potential strengths and weaknesses in how stroke care delivery is regulated across the nation. DESIGN: This study linked the results of an early evidence assessment of 15 stroke systems of care policy interventions supported by best available evidence to a legal data set of the body of law in effect on January 1, 2018, for the 50 states and Washington, District of Columbia. RESULTS: As of January 1, 2018, 39 states addressed 1 or more aspects of prehospital or in-hospital stroke care in law; 36 recognized at least 1 type of stroke center. Thirty states recognizing stroke centers also had evidence-supported prehospital policy interventions authorized in law. Four states authorized 10 or more of 15 evidence-supported policy interventions. Some combinations of prehospital and in-hospital policy interventions were more prevalent than other combinations. CONCLUSION: The analysis revealed that many states had a stroke regulatory infrastructure for in-hospital care that is supported by best available evidence. However, there are gaps in how state law integrates evidence-supported prehospital and in-hospital care that warrant further study. This study provides a baseline for ongoing policy surveillance and serves as a basis for subsequent stroke systems of care policy implementation and policy impact studies.

OBJECTIVE: Significant delays in translating health care-related research into public health programs and medical practice mean that people may not get the best care when they need it. Regarding cardiovascular disease, translation delays can mean lives may be unnecessarily lost each year. To facilitate the translation of knowledge to action, we created a Best Practices Guide for Cardiovascular Disease Prevention Programs. DESIGN: Using the Rapid Synthesis Translation Process and the Best Practices Framework as guiding frameworks, we collected and rated research evidence for hypertension control and cholesterol management strategies. After identifying best practices, we gathered information about programs that were implementing the practices and about resources useful for implementation. Research evidence and supplementary information were consolidated in an informational resource and published online. Web metrics were collected and analyzed to measure use and reach of the guide. RESULTS: The Best Practices Guide was released in January 2018 and included background information and resources on 8 best practice strategies. It was published as an online resource, publicly accessible from the Centers for Disease Control and Prevention Web site in 2 different formats. Web metrics show that in the first year after publication, there were 25 589 Web page views and 2467 downloads. A query of partner use of the guide indicated that it was often shared in partners' own resources, newsletters, and online material. CONCLUSION: In following a systematic approach to creating the Best Practices Guide and documenting the steps taken in its development, we offer a replicable approach for translating research on health care practices into a resource to facilitate implementation. The success of this approach is attributed to 3 key factors: using a prescribed and documented approach to evidence translation, working closely with stakeholders throughout the process, and prioritizing the content design and accessibility of the final product.

CONTEXT: Excessive sodium consumption contributes to high blood pressure, which is a risk factor for cardiovascular disease. OBJECTIVES: To (1) identify state and urban local laws addressing adult or general population sodium consumption in foods and beverages and (2) align findings to a previously published evidence classification review, the Centers for Disease Control and Prevention Sodium Quality and Impact of Component (QuIC) evidence assessment. DESIGN: Systematic collection of sodium reduction laws from all 50 states, the 20 most populous counties in the United States, and the 20 most populous cities in the United States, including Washington, District of Columbia, effective on January 1, 2019. Relevant laws were assigned to 1 or more of 6 interventions: (1) provision of sodium information in restaurants or at point of purchase; (2) consumer incentives to purchase lower sodium foods; and provision of lower sodium offerings in (3) workplaces, (4) vending machines, (5) institutional meal services, and (6) grocery, corner, and convenience stores. The researchers used Westlaw, local policy databases or city Web sites, and general nutrition policy databases to identify relevant laws. RESULTS: Thirty-nine sodium reduction laws and 10 state laws preempting localities from enacting sodium reduction laws were identified. Sodium reduction laws were more common in local jurisdictions and in the Western United States. Sodium reduction laws addressing meal services (n = 17), workplaces (n = 12), labeling (n = 13), and vending machines (n = 11) were more common, while those addressing grocery stores (n = 2) or consumer incentives (n = 6) were less common. Laws with high QuIC evidence classifications were generally more common than laws with low QuIC evidence classifications. CONCLUSIONS: The distribution of sodium laws in the US differed by region, QuIC classification, and jurisdiction type, indicating influence from public health and nonpublic health factors. Ongoing research is warranted to determine how the strength of public health evidence evolves over time and how those changes correlate with uptake of sodium reduction law.