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✪ Evaluating behavioral intervention technologies: Integrating human-centered design and implementation science outcomes

Authors:

Shumenghui Zhai, Weichao Yuwen, Tiffany L. Zyniewicz, Jennifer Sonney, Jonika Hash, Maida Chen, & Teresa M Ward

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: June 2025

Read the full text in the open access journal Digital Health

Abstract:

Background

Behavioral intervention technologies (BITs) offer scalable, cost-effective healthcare solutions but often show reduced impacts in community settings and are rarely sustained. Human-centered design (HCD) enhances usability by tailoring BITs to stakeholder needs, while implementation science (IS) identifies contextual barriers and strategies to promote uptake and sustainability. Both HCD and IS aim to improve BIT usability and implementation through iterative, user-focused processes but are rarely integrated.

Objective

We introduced the user-centered and sustainable implementation science (USIS) model, a novel and systematic framework that combines HCD and IS principles to enhance BIT effectiveness and sustainability. We aimed to (1) synthesize the HCD and IS outcomes and integrate them into a USIS framework; (2) apply USIS to a case study: the sleep shared-management intervention for children with juvenile idiopathic arthritis and their parents (SLEEPSMART).

Methods

We conducted a narrative literature review on HCD and IS outcomes for BITs from the PubMed, CINAHL, and Web of Science databases. Articles were selected based on their focus on usability, implementation outcomes, and evidence-based healthcare practices. This synthesis informed the development of the USIS model.

Results

The USIS model incorporates five domains: (1) user-centeredness (empathy, engagement, and equity), (2) efficiency (cost, timeliness, and rapidity), (3) feasibility (learnability, memorability, error reduction, and low cognitive load), (4) satisfaction (acceptability and appropriateness), and (5) fidelity (adoption, penetration, and sustainability). We applied the USIS model to evaluate the SLEEPSMART project to demonstrate the application of the USIS model in guiding BIT design and refinement. Insights from the review informed the design principles applied during the development and testing stages of SLEEPSMART.

Conclusion

The USIS model serves as a practical and theoretical guide to improve BIT design and evaluation. By emphasizing implementation considerations early and centering user needs, USIS provides a pathway to bridge HCD and IS approaches to enhance the real-world impact and sustainability of digital health innovations.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Methods for community-engaged data collection and analysis in implementation research

Authors:

Lawrence A. Palinkas, Benjamin Springgate, Leopoldo J. Cabassa, Michelle Shin, Samantha Garcia, Benjamin F. Crabtree & Jennifer Tsui

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: April 2025

Read the full text in the open access journal Implementation Science Communications

Abstract:

Background

Community engagement is widely recognized as critical to successful and equitable implementation of evidence-based practices, programs, and policies. However, there are no clear guidelines for community involvement in data collection and analysis in implementation research.

Methods

We describe three specific methods for engaging community members in data collection and analysis: concept mapping, rapid ethnographic assessment, and Photovoice. Common elements are identified from a case study of each method: 1) selection and adaptation of evidence-based strategies for improving adolescent HPV vaccine initiation rates in disadvantaged communities, 2) strategies for implementing medication for opioid use disorders among low-income Medicaid enrollees during natural disasters, and 3) interventions to improve the physical health of adults with severe mental illness living in supportive housing.

Results

In all three cases, community members assisted in participant recruitment, provided data, and validated preliminary findings created by researchers. In the Photovoice case study, community members participated in both data collection and analysis, while in the concept mapping, community members also participated in the initial phase of organizing and prioritizing evidence-based strategies during the data analysis.

Conclusions

Community involvement in implementation research data collection and analysis contributes to greater engagement and empowerment of community members and validation of study findings. Use of methods that exhibit both scientific rigor and community relevance of implementation research also contributes to greater community investment in successful implementation outcomes. Nevertheless, the case studies point to the importance and efficiency of the division of labor embedded in community-engaged implementation research. Building capacity for community members to assume greater roles in obtaining and organizing data for preliminary analysis prior to interpretation is recommended.

Contributions to the literature

  • Guidelines exist for conducting community engaged research but provide no clear instructions for community involvement in data collection and analysis.
  • This paper examines the potential of community engaged data collection and analysis in implementation research through case studies of concept mapping, rapid ethnographic methods, and Photovoice.
  • Community involvement in implementation research data collection and analysis contributes to greater engagement and empowerment of community members, validation of study findings, and commitment to successful implementation outcomes.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study

Authors:

Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, and Olena Nesterova

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: January 2025

Read the full text in the open access journal JMIR Formative Research

Abstract:

Background

Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)–Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV. CASI-Plus provides client-facing information on APS methods and uses a standardized, self-guided questionnaire with nonjudgmental language for clients to list partners who would benefit from HIV testing. The tool also enables health care workers (HCWs) to see summarized data to facilitate partner tracking.

Objective

The formative research phase of the CASI-Plus study aimed to gather client and HCW input on the design of the CASI-Plus tool to ensure its acceptability, feasibility, and usability.

Methods

This study gathered input to prioritize features and tested the usability of CASI-Plus with HCWs and clients receiving HIV services in public health clinics in wartime Ukraine. The CASI-Plus study’s formative phase, carried out from May 2023 to July 2024, adapted human-centered design (HCD) methods grounded in principles of empathy, iteration, and creative ideation. The study involved 3 steps: formative HCD, including in-depth individual interviews with clients, such as men who have sex with men and people who inject drugs, and internet-based design workshops with HCWs from rural and urban HIV clinics in Chernihiv and Dnipro; software platform assessment and heuristic evaluation, including assessment of open-source mHealth platforms against CASI-Plus requirements, prototype development, and testing of the REDCap (Research Electronic Data Capture) prototype based on usability heuristics; and usability walk-throughs, including simulated cases with HCWs and clients.

Results:

The formative phase of the CASI-Plus study included in-depth individual interviews with 10 clients and 3 workshops with 22 HCWs. This study demonstrated how simplified HCD methods, adapted to the wartime context, gathered rich input on prioritized features and tool design. The CASI-Plus design reflected features that are both culturally sensitive and in alignment with the constraints of Ukraine’s wartime setting. Prioritized features included information about the benefits of HIV index testing; a nonjudgmental, self-guided questionnaire to report partners; client stories; and bright images to accompany the text. Two-way SMS text messaging between clients and HCWs was deemed impractical based on risks of privacy breaches, national patient privacy regulations, and HCW workload./p>

Conclusions

It was feasible to conduct HCD research in Ukraine in a wartime setting. The CASI-Plus mHealth tool was acceptable to both HCWs and clients. The next step for this research is a randomized clinical trial of the effect of the REDCap-based CASI-Plus tool on the number of partners named and the rate of partners completing HIV testing.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Applying the Cognitive Walkthrough for Implementation Strategies methodology to inform the redesign of a selection-quality implementation toolkit for use in schools

Authors:

Kelsey S. Dickson, Olivia G. Michael, Amy Drahota, Aksheya Sridhar, Jessica E. Tschida, & Jill Locke

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: November 2024

Read the full text in the open access journal Implementation Science Communications

Abstract:

Background

Implementation strategies are key to enhancing the translation of new innovations but there is a need to systematically design and tailor strategies to match the targeted implementation context and address determinants. There are increasing methods to inform the development and tailoring of implementation strategies to maximize their usability, feasibility, and appropriateness in new settings such as the Cognitive Walkthrough for Implementation Strategies (CWIS) approach. The aim of the current project is to apply the CWIS approach to inform the redesign of a multifaceted selection-quality implementation toolkit entitled Adoption of Curricular supports Toolkit: Systematic Measurement of Appropriateness and Readiness for Translation in Schools (ACT SMARTS) for use in middle and high schools.

Methods

We systematically applied CWIS as the second part of a community-partnered iterative redesign of ACT SMARTS for schools to evaluate the usability and inform further toolkit redesign areas. We conducted three CWIS user testing sessions with key end users of school district administrators (n = 3), school principals (n = 6), and educators (n = 6).

Results

Our CWIS application revealed that end users found ACT SMARTS acceptable and relevant but anticipate usability issues engaging in the ACT SMARTS process. Results informed the identification of eleven usability issues and corresponding redesign solutions to enhance the usability of ACT SMARTS for use in middle and high schools.

Conclusions

Results indicated the utility of CWIS in assessing implementation strategy usability in service of informing strategy modification as part of our broader redesign to improve alignment with end user, end recipient, and setting needs. Recommendations regarding the use of this participatory approach are discussed.

Contributions to the literature

  • The current case study adds to the nascent literature applying the Cognitive Walkthrough for Implementation Strategies (CWIS) method as part of a larger implementation project, including one of the first independent applications outside of the CWIS method developers.
  • The current case study illustrates the impact and utility of the CWIS method for designing and tailoring implementation strategies.
  • This case study provides further guidance and recommendations for the application of CWIS to future implementation projects.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Community partner coauthorship for increased implementation science impact: Strengthening capacity and engagement

Authors:

Rebekka M. Lee, Cristina Huebner Torres, James G. Daly, Annette Thomas, Peggy A. Hannon, Sonja Likumahuwa-Ackman and Karen M. Emmons

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: September 2024

Read the full text open access in the journal Hepatology Communications

Abstract:

Engaging diverse partners in each phase of the research process is the gold standard of community-engaged research and adds value to the impact of implementation science. However, partner engagement in dissemination, particularly meaningful involvement in developing peer-reviewed manuscripts, is lacking. The Implementation Science Centers in Cancer Control are using the Translational Science Benefits Model to demonstrate the impact of our work beyond traditional metrics, including building capacity and promoting community engagement. This paper presents a case example of one center that has developed a policy for including community partners as coauthors. Standard practices are used to foster clear communications and bidirectional collaboration. Of published papers focused on center infrastructure and implementation research pilots, 92% have community partner coauthors. This includes 21 individuals in roles ranging from physician assistant to medical director to quality manager. Through this intentional experience of co-creation, community partners have strengthened implementation science expertise. Community coauthors have also ensured that data interpretation and dissemination reflect real-world practice environments and offer sustainable strategies for rapid translation to practice improvements. Funders, academic journals, and researchers all have important roles to play in supporting community coauthors as critical thought partners who can help to narrow the gap between research and practice.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Reimagining policy implementation science in a global context: a theoretical discussion

Authors:

Kellie List, Peter Agamile, Didier Yélognissè Alia, Peter Cherutich, Kristen Danforth, John Kinuthia, Arianna Rubin Means, Irene Mukui, Nancy Ngumbau, Yanfang Su, Anjuli Dawn Wagner, Bryan J Weiner, and Sarah Masyuko

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: September 2024

Read the full text in the open access journal Frontiers in Health Services

Abstract:

Introduction

Policy implementation science (IS) is defined here as generating knowledge and deploying implementation strategies to effectively adopt and integrate evidence-based interventions (EBIs) into policy designs and improve policy implementation and effectiveness (1–3). Most existing policy IS scholarly works originate from the Global North (United States, Canada, and Western Europe) and describe or evaluate strategies to increase the uptake of EBIs (4). The existing Global North-generated frameworks focus less on the critical resources needed to formulate and implement a policy in diverse settings. Current approaches to policy IS lack sufficient contextual nuance to be applicable to...[read more].

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Methodology for adapting a co-created early childhood development intervention and implementation strategies for use by frontline workers in India and Guatemala: a systematic application of the FRAME-IS framework

Authors:

Amruta Bandal, Sara Hernández, Revan Mustafa, Karyn Choy, Namrata Edwards, Magdalena Guarchaj, Marinés Mejía Alvarez, Anushree Sane, Scott Tschida , Chetna Maliye, Ann Miller, Abhishek Raut, Roopa Srinivasan, Morgan Turner, Bradley H. Wagenaar , Ilgi Ertem, Maria del Pilar Grazioso, Subodh S. Gupta, Vibha Krishnamurthy, and Peter Rohloff.

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: May 2026

Read the full text in the open access journal Global Health Action

Abstract:

There is little evidence on optimizing the effectiveness and implementation of evidence-based early childhood development (ECD) interventions when task-shifted to frontline workers. In this Methods Forum paper, we describe our adaptation of the International Guide for Monitoring Child Development (GMCD) for task-shifting to frontline workers in Guatemala and India. In 2021–2022, implementers, trainers, frontline workers, caregivers, and international GMCD experts collaborated to adapt the GMCD for a task shifted implementation by frontline workers. We used an eight-step co-creating process: assembling a multidisciplinary team, training on the existing package, working groups to begin modifications, revision of draft modifications, tailoring of visual materials and language, train-the-trainers activities, pilot frontline worker trainings, final review and feedback. Preliminary effectiveness of adaptations was evaluated through narrative notes and group-based qualitative feedback following pilot trainings with 16 frontline workers in India and 6 in Guatemala. Final adaptations included: refining training techniques to match skill levels and learning styles of frontline workers; tailoring all visual materials to local languages and contexts; design of job aids for providing developmental support messages; modification of referral and triage processes for children in need of enhanced support and specialty referral; and creation of post-training support procedures. Feedback from pilot trainings included: (1) group consensus that training improved ECD skills and knowledge across multiple domains; and (2) feedback on ongoing needed adjustments to pacing, use of video-based vs. role-playing materials, and time allocated to small group work. We use the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS) framework to document our adaptations. The co-creating approach we use, as well as systematic documentation of adaptation decisions will be of use to other community-based early childhood interventions and implementation strategies.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Mending the gap: Measurement needs to address policy implementation through a health equity lens

Authors:

Gabriella M McLoughlin, Shiriki Kumanyika, Yanfang Su, Ross C Brownson, Jennifer O Fisher, & Karen M Emmons

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: March 2024

Read the full text in the open access journal Translational Behavioral Medicine

Abstract:

Policies represent a key opportunity to improve the health outcomes of populations, and if implemented well, can reduce disparities affecting marginalized populations. Many policies are only evaluated on whether they elicit their intended health outcome. However, a lack of understanding regarding if and how they are implemented may hinder the intended impact overall and on addressing health disparities. Implementation science offers an array of frameworks and methodological approaches for assessing policy delivery, yet few examples exist that meaningfully include health equity as a core focus.

This commentary describes the importance of equity-informed implementation measurement by providing case examples and implications for assessment. In addition, we highlight examples of emerging work in policy implementation grounded in health equity with suggested steps for moving the field forward. The ultimate goal is to move toward open-access measurement approaches that can be adapted to study implementation of a variety of policies at different stages of implementation, driven by input from marginalized populations and implementation practitioners, to move the needle on addressing health disparities.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Inequity in the face of success: understanding geographic and wealth-based equity in success of facility-based delivery for under-5 mortality reduction in six countries

Authors:

Jovial Thomas Ntawukuriryayo, Amelia VanderZanden, Alemayehu Amberbir, Alula Teklu, Fauzia Akhter Huda, Mahesh Maskey, Mohamadou Sall, Patricia J. Garcia, Raj Kumar Subedi, Felix Sayinzoga, Lisa R. Hirschhorn & Agnes Binagwaho

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: February 2024

Read the full text in the open access journal BMC Pediatrics

Abstract:

Background

Between 2000–2015, many low- and middle-income countries (LMICs) implemented evidence-based interventions (EBIs) known to reduce under-5 mortality (U5M). Even among LMICs successful in reducing U5M, this drop was unequal subnationally, with varying success in EBI implementation. Building on mixed methods multi-case studies of six LMICs (Bangladesh, Ethiopia, Nepal, Peru, Rwanda, and Senegal) leading in U5M reduction, we describe geographic and wealth-based equity in facility-based delivery (FBD), a critical EBI to reduce neonatal mortality which requires a trusted and functional health system, and compare the implementation strategies and contextual factors which influenced success or challenges within and across the countries.

Methods

To obtain equity gaps in FBD coverage and changes in absolute geographic and wealth-based equity between 2000–2015, we calculated the difference between the highest and lowest FBD coverage across subnational regions and in the FBD coverage between the richest and poorest wealth quintiles. We extracted and compared contextual factors and implementation strategies associated with reduced or remaining inequities from the country case studies.

Results

The absolute geographic and wealth-based equity gaps decreased in three countries, with greatest drops in Rwanda – decreasing from 50 to 5% across subnational regions and from 43 to 13% across wealth quintiles. The largest increases were seen in Bangladesh – from 10 to 32% across geography – and in Ethiopia – from 22 to 58% across wealth quintiles. Facilitators to reducing equity gaps across the six countries included leadership commitment and culture of data use; in some countries, community or maternal and child health insurance was also an important factor (Rwanda and Peru). Barriers across all the countries included geography, while country-specific barriers included low female empowerment subnationally (Bangladesh) and cultural beliefs (Ethiopia). Successful strategies included building on community health worker (CHW) programs, with country-specific adaptation of pre-existing CHW programs (Rwanda, Ethiopia, and Senegal) and cultural adaptation of delivery protocols (Peru). Reducing delivery costs was successful in Senegal, and partially successful in Nepal and Ethiopia.

Conclusion

Variable success in reducing inequity in FBD coverage among countries successful in reducing U5M underscores the importance of measuring not just coverage but also equity. Learning from FBD interventions shows the need to prioritize equity in access and uptake of EBIs for the poor and in remote areas by adapting the strategies to local context.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

Factors Affecting Post-trial Sustainment or De-implementation of Study Interventions: A Narrative Review

Authors:

Terren Green, Hayden B. Bosworth, Gloria D. Coronado, Lynn DeBar, Beverly B. Green, Susan S. Huang, Jeffrey G. Jarvik, Vincent Mor, Douglas Zatzick, Kevin P. Weinfurt & Devon K. Check

University of Washington affiliated authors are displayed in bold.

Subscription Required for Full Text Access

Published: January 2024

Read the full text in the Journal of General Internal Medicine