A scoping review reveals candidate quality indicators of knowledge translation and implementation science practice tools.

OBJECTIVES: To identify candidate quality indicators from existing tools that provide guidance on how to practice knowledge translation and implemenation science (KT practice tools) across KT domains (dissemination, implementation, sustainability, and scalability). STUDY DESIGN AND SETTING: We conducted a scoping review using the Joanna Briggs Institute Manual for Evidence Synthesis. We systematically searched multiple electronic databases and the gray literature. Documents were independently screened, selected, and extracted by pairs of reviewers. Data about the included articles, KT practice tools, and candidate quality indicators were analyzed, categorized, and summarized descriptively. RESULTS: Of 43,060 titles and abstracts that were screened from electronic databases and gray literature, 850 potentially relevant full-text articles were identified, and 253 articles were included in the scoping review. Of these, we identified 232 unique KT practice tools from which 27 unique candidate quality indicators were generated. The identified candidate quality indicators were categorized according to the development (n = 17), evaluation (n = 5) and adaptation (n = 3) of the tools, and engagement of knowledge users (n = 2). No tools were identified that appraised the quality of KT practice tools. CONCLUSIONS: The development of a quality appraisal instrument of KT practice tools is needed. The results will be further refined and finalized in order to develop a quality appraisal instrument for KT practice tools.

Making Sense of Theories, Models, and Frameworks in Digital Health Behavior Change Design: Qualitative Descriptive Study.

BACKGROUND: Digital health interventions are increasingly being designed to support health behaviors. Although digital health interventions informed by behavioral science theories, models, and frameworks (TMFs) are more likely to be effective than those designed without them, design teams often struggle to use these evidence-informed tools. Until now, little work has been done to clarify the ways in which behavioral science TMFs can add value to digital health design. OBJECTIVE: The aim of this study was to better understand how digital health design leaders select and use TMFs in design practice. The questions that were addressed included how do design leaders perceive the value of TMFs in digital health design, what considerations do design leaders make when selecting and applying TMFs, and what do design leaders think is needed in the future to advance the utility of TMFs in digital health design? METHODS: This study used a qualitative description design to understand the experiences and perspectives of digital health design leaders. The participants were identified through purposive and snowball sampling. Semistructured interviews were conducted via Zoom software. Interviews were audio-recorded and transcribed using Otter.ai software. Furthermore, 3 researchers coded a sample of interview transcripts and confirmed the coding strategy. One researcher completed the qualitative analysis using a codebook thematic analysis approach. RESULTS: Design leaders had mixed opinions on the value of behavioral science TMFs in digital health design. Leaders suggested that TMFs added the most value when viewed as a starting point rather than the final destination for evidence-informed design. Specifically, these tools added value when they acted as a gateway drug to behavioral science, supported health behavior conceptualization, were balanced with expert knowledge and user-centered design principles, were complementary to existing design methods, and supported both individual- and systems-level thinking. Design leaders also felt that there was a considerable nuance in selecting the most value-adding TMFs. Considerations should be made regarding their source, appropriateness, complexity, accessibility, adaptability, evidence base, purpose, influence, audience, fit with team expertise, fit with team culture, and fit with external pressures. Design leaders suggested multiple opportunities to advance the use of TMFs. These included improving TMF reporting, design, and accessibility, as well as improving design teams' capacity to use TMFs appropriately in practice. CONCLUSIONS: When designing a digital health behavior change intervention, using TMFs can help design teams to systematically integrate behavioral insights. The future of digital health behavior change design demands an easier way for designers to integrate evidence-based TMFs into practice.

Identifying candidate quality indicators of tools that support the practice of knowledge translation: a scoping review protocol.

OBJECTIVE: 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. INTRODUCTION: Knowledge translation strategies (defined as including knowledge translation interventions, tools, and products) target various knowledge users, including patients, clinicians, researchers, and 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. INCLUSION CRITERIA: 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. METHODS: 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 2 researchers. Data will be analyzed and summarized descriptively, including the characteristics of the included documents, knowledge translation methods tools, and candidate quality indicators. SCOPING REVIEW REGISTRATION: Open Science Framework ( https://osf.io/chxvq ).

An Electronic Patient-Reported Outcomes Tool for Older Adults With Complex Chronic Conditions: Cost-Utility Analysis.

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. TRIAL REGISTRATION: ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954.

Systematic Review of Self-Measured Blood Pressure Monitoring With Support: Intervention Effectiveness and Cost.

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.

Processes for Implementing Community Health Worker Workforce Development Initiatives.

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.

A Replicable Approach to Promoting Best Practices: Translating Cardiovascular Disease Prevention Research.

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.

Translating Workforce Development Policy Interventions for Community Health Workers: Application of a Policy Research Continuum.

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.

Establishing a Baseline: Evidence-Supported State Laws to Advance Stroke Care.

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.

Mapping and Analysis of US State and Urban Local Sodium Reduction Laws.

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.