Search

The objective of this scoping review is to identify and characterize relevant knowledge translation methods tools (those that provide guidance for optimized knowledge translation practice) to uncover candidate quality indicators to inform a future quality assessment tool for knowledge translation strategies.Knowledge translation strategies (defined as including knowledge translation interventions, tools, and products) target various knowledge users including patients, clinicians, researchers, or policy-makers. The development and use of strategies that support knowledge translation practice have been rapidly increasing, making it difficult for knowledge users to decide which to use. There is limited evidence-based guidance or measures to help assess the overall quality of knowledge translation strategies.Empirical and non-empirical documents will be considered if they explicitly describe a knowledge translation methods tool and its development, evaluation or validation, methodological strengths or limitations, and/or use over time. The review will consider a knowledge translation methods tool if it falls within at least one knowledge translation domain (ie, implementation, dissemination, sustainability, scalability, integrated knowledge translation) in the health field.We will conduct a systematic search of relevant electronic databases and gray literature. The search strategy will be developed iteratively by an experienced medical information specialist and peer-reviewed with the PRESS checklist. The search will be limited to English-only documents published from 2005 onward. Documents will be independently screened, selected, and extracted by two researchers. Data will be analyzed and summarized descriptively including the characteristics of the included documents, knowledge translation methods tools, and candidate quality indicators.Open Science Framework (https://osf.io/chxvq).

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.

BACKGROUND eHealth technologies for self-management can improve quality of life, but little is known about whether the benefits gained outweigh their costs. The electronic patient-reported outcome (ePRO) mobile app and portal system supports patients with multiple chronic conditions to collaborate with primary health care providers to set and monitor health-related goals. OBJECTIVE This study aims to estimate the cost of ePRO and the cost utility of the ePRO intervention compared with usual care provided to patients with multiple chronic conditions and complex needs living in the community, from the perspective of the publicly funded health care payer in Ontario, Canada. METHODS We developed a decision tree model to estimate the incremental cost per quality-adjusted life year (QALY) gained for the ePRO tool versus usual care over a time horizon of 15 months. Resource utilization and effectiveness of the ePRO tool were drawn from a randomized clinical trial with 6 family health teams involving 45 participants. Unit costs associated with health care utilization (adjusted to 2020 Canadian dollars) were drawn from literature and publicly available sources. A series of sensitivity analyses were conducted to assess the robustness of the findings. RESULTS The total cost of the ePRO tool was CAD $79,467 (~US $ 63,581; CAD $1733 [~US $1386] per person). Compared with standard care, the ePRO intervention was associated with higher costs (CAD $1710 [~US $1368]) and fewer QALYs (–0.03). The findings were consistent with the clinical evidence, suggesting no statistical difference in health-related quality of life between ePRO and usual care groups. However, the tool would be considered a cost-effective option if it could improve by at least 0.03 QALYs. The probability that the ePRO is cost-effective was 17.3% at a willingness-to-pay (WTP) threshold of CAD $50,000 (~US $40,000)/QALY. CONCLUSIONS The ePRO tool is not a cost-effective technology at the commonly used WTP value of CAD $50,000 (~US $40,000)/QALY, but long-term and the societal impacts of ePRO were not included in this analysis. Further research is needed to better understand its impact on long-term outcomes and in real-world settings. The present findings add to the growing evidence about eHealth interventions’ capacity to respond to complex aging populations within finite-resourced health systems. CLINICALTRIAL ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954

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.

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.

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.

In the United States (US), a stroke occurs every 40 seconds. Stroke care policies vary across federal, state, and local levels. Differences in health outcomes could be addressed through adoption of evidence-informed stroke policies. We examined early evidence to identify state policy interventions that may improve quality of stroke care. The US Centers for Disease Control and Prevention (CDC) examined the evidence base for stroke systems of care policy interventions enacted by the US state governments. We assessed 16 policy interventions impacting the entire continuum of stroke care, including those in the pre-, in-, and post-hospital settings. An expert group representing CDC, state stroke programs, and the American Heart Association informed the assessment. Over 460 items were assessed using the Quality and Impact of Component Evidence Assessment methodology for effectiveness, equity, reach, efficiency, and transferability. Each policy intervention’s evidence base was assigned to one of four levels: “best,” “promising potential public health impact,” “promising quality,” or “emerging.” Of the policy interventions assessed thus far, eight had “best” evidence, one had “promising potential public health impact” evidence, one had “promising quality” evidence, and six had “emerging” evidence (see Table). State laws addressing policy interventions with “best” evidence, such as pre-notification of receiving facilities by emergency medical service providers or telestroke to initiate treatment on-site, are expected to have the greatest potential for positive impact. A greater focus on policy evaluation research could help policymakers understand their options for implementing and scaling up stroke policies with emerging and promising evidence bases in their state. States may improve population health and economic outcomes by strengthening health care delivery using policy interventions with “best” available evidence.