Bryan J. Weiner Archives - Page 7 of 10 - Implementation Science at UW

✪ Practice facilitation to implement alcohol-related care in Veterans Health Administration liver clinics: a study protocol

Abstract:

Background

Alcohol-related care, including screening, brief intervention, and provision of/referral to medication or behavioral treatments for alcohol use disorder, could be delivered in liver clinics to better reach patients with chronic liver conditions. However, the provision of alcohol-related care in liver clinics is currently suboptimal. Practice facilitation is an evidence-based implementation strategy that may address barriers, harness facilitators, and optimize the implementation of alcohol-related care in liver clinic settings using a clinic-centered approach. We report the protocol of a study to test a practice facilitation intervention to implement alcohol-related care in four Veterans Health Administration liver clinics.

Methods

This study will employ a Hybrid Type 3 effectiveness-implementation design, in which implementation outcomes are considered primary and clinical outcomes secondary. Intervention and evaluation design were informed by the Consolidated Framework for Implementation Research. Qualitative data collected from clinical stakeholders and patients were used to tailor the intervention. The intervention involves a 6-month period of external practice facilitation, including regular meetings to identify clinic goals, challenges, and solutions; engagement of clinic champions; provision of training and development of educational materials for clinic staff and patients; and performance monitoring and feedback. Ongoing formative evaluation involves the collection of quantitative facilitator tracking data and qualitative data from meeting notes and patient interviews to describe intervention acceptability, feasibility, and adoption, and adjust implementation as needed. In the summative evaluation, implementation outcomes (clinic rates of screening, brief intervention, and treatment referral/receipt) and clinical outcomes (unhealthy alcohol use, liver health) will be assessed among patients in participating clinics using secondary electronic health record data and interrupted time series analysis.

Discussion

This will be the first study to our knowledge to test practice facilitation to implement alcohol-related care in liver clinic settings. Results from formative and summative evaluation will inform a framework for the successful implementation of effective alcohol-related care through practice facilitation in liver clinics, which may ultimately lead to better health outcomes for patients with chronic liver disease.

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

Impact of the COVID-19 Pandemic on HIV Testing and Assisted Partner Notification Services, Western Kenya

✪ The role of dissemination and implementation science in global breast cancer control programs: Frameworks, methods, and examples

Abstract:

Global disparities in breast cancer outcomes are attributable to a sizable gap between evidence and practice in breast cancer control and management. Dissemination and implementation science (D&IS) seeks to understand how to promote the systematic uptake of evidence‐based interventions and/or practices into real‐world contexts. D&IS methods are useful for selecting strategies to implement evidence‐based interventions, adapting their implementation to new settings, and evaluating the implementation process as well as its outcomes to determine success and failure, and adjust accordingly.

Process models, explanatory theories, and evaluation frameworks are used in D&IS to develop implementation strategies, identify implementation outcomes, and design studies to evaluate these outcomes. In breast cancer control and management, research has been translated into evidence‐based, resource‐stratified guidelines by the Breast Health Global Initiative and others. D&IS should be leveraged to optimize the implementation of these guidelines, and other evidence‐based interventions, into practice across the breast cancer care continuum, from optimizing public education to promoting early detection, increasing guideline‐concordant clinical practice among providers, and analyzing and addressing barriers and facilitators in health care systems. Stakeholder engagement through processes such as co‐creation is critical.

In this article, the authors have provided a primer on the contribution of D&IS to phased implementation of global breast cancer control programs, provided 2 case examples of ongoing D&IS research projects in Tanzania, and concluded with recommendations for best practices for researchers undertaking this work.

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

✪ A systematic review of empirical studies examining mechanisms of implementation in health

Abstract:

Background

Understanding the mechanisms of implementation strategies (i.e., the processes by which strategies produce desired effects) is important for research to understand why a strategy did or did not achieve its intended effect, and it is important for practice to ensure strategies are designed and selected to directly target determinants or barriers. This study is a systematic review to characterize how mechanisms are conceptualized and measured, how they are studied and evaluated, and how much evidence exists for specific mechanisms.

Methods

We systematically searched PubMed and CINAHL Plus for implementation studies published between January 1990 and August 2018 that included the terms “mechanism,” “mediator,” or “moderator.” Two authors independently reviewed title and abstracts and then full texts for fit with our inclusion criteria of empirical studies of implementation in health care contexts. Authors extracted data regarding general study information, methods, results, and study design and mechanisms-specific information. Authors used the Mixed Methods Appraisal Tool to assess study quality.

Results

Search strategies produced 2277 articles, of which 183 were included for full text review. From these we included for data extraction 39 articles plus an additional seven articles were hand-entered from only other review of implementation mechanisms (total = 46 included articles). Most included studies employed quantitative methods (73.9%), while 10.9% were qualitative and 15.2% were mixed methods. Nine unique versions of models testing mechanisms emerged. Fifty-three percent of the studies met half or fewer of the quality indicators. The majority of studies (84.8%) only met three or fewer of the seven criteria stipulated for establishing mechanisms.

Conclusions

Researchers have undertaken a multitude of approaches to pursue mechanistic implementation research, but our review revealed substantive conceptual, methodological, and measurement issues that must be addressed in order to advance this critical research agenda. To move the field forward, there is need for greater precision to achieve conceptual clarity, attempts to generate testable hypotheses about how and why variables are related, and use of concrete behavioral indicators of proximal outcomes in the case of quantitative research and more directed inquiry in the case of qualitative research.

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

✪ Evaluating and optimizing the consolidated framework for implementation research (CFIR) for use in low- and middle-income countries: a systematic review

Abstract:

Background

The Consolidated Framework for Implementation Research (CFIR) is a determinants framework that may require adaptation or contextualization to fit the needs of implementation scientists in low- and middle-income countries (LMICs). The purpose of this review is to characterize how the CFIR has been applied in LMIC contexts, to evaluate the utility of specific constructs to global implementation science research, and to identify opportunities to refine the CFIR to optimize utility in LMIC settings.

Methods

A systematic literature review was performed to evaluate the use of the CFIR in LMICs. Citation searches were conducted in Medline, CINAHL, PsycINFO, CINAHL, SCOPUS, and Web of Science. Data abstraction included study location, study design, phase of implementation, manner of implementation (ex., data analysis), domains and constructs used, and justifications for use, among other variables. A standardized questionnaire was sent to the corresponding authors of included studies to determine which CFIR domains and constructs authors found to be compatible with use in LMICs and to solicit feedback regarding ways in which CFIR performance could be improved for use in LMICs.

Results

Our database search yielded 504 articles, of which 34 met final inclusion criteria. The studies took place across 21 countries and focused on 18 different health topics. The studies primarily used qualitative study designs (68%). Over half (59%) of the studies applied the CFIR at study endline, primarily to guide data analysis or to contextualize study findings. Nineteen (59%) of the contacted authors participated in the survey. Authors unanimously identified culture and engaging as compatible with use in global implementation research. Only two constructs, patient needs and resources and individual stages of change were commonly identified as incompatible with use. Author feedback centered on team level influences on implementation, as well as systems characteristics, such as health system architecture. We propose a “Characteristics of Systems” domain and eleven novel constructs be added to the CFIR to increase its compatibility for use in LMICs.

Conclusions

These additions provide global implementation science practitioners opportunities to account for systems-level determinants operating independently of the implementing organization. Newly proposed constructs require further reliability and validity assessments.

Trial registration

PROSPERO, CRD42018095762

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

✪ Systems analysis and improvement approach to optimize the hypertension diagnosis and care cascade for PLHIV individuals (SAIA-HTN): A hybrid type III cluster randomized trial

Authors:

Sarah Gimbel, Ana Olga Mocumbi, Kristjana Ásbjörnsdóttir, Joana Coutinho, Leonel Andela, Bonifacio Cebola, Heidi Craine, Jonny Crocker, Leecreesha Hicks, Sarah Holte, Rodrigues Hossieke, Edgar Itai, Carol Levin, Nelia Manaca, Filipe Murgorgo, Miguel Nhumba, James Pfeiffer, Isaias Ramiro, Keshet Ronen, Nona Sotoodehnia, Onei Uetela, Anjuli Wagner, Bryan J. Weiner, & Kenneth Sherr

^{University of Washington affiliated authors are displayed in bold.}

✪ Open Access

Published: March 2020

Read the full text in the open access journal Implementation Science

Abstract:

Background

Across sub-Saharan Africa, evidence-based clinical guidelines to screen and manage hypertension exist; however, country level application is low due to lack of service readiness, uneven health worker motivation, weak accountability of health worker performance, and poor integration of hypertension screening and management with chronic care services. The systems analysis and improvement approach (SAIA) is an evidence-based implementation strategy that combines systems engineering tools into a five-step, facility-level package to improve understanding of gaps (cascade analysis), guide identification and prioritization of low-cost workflow modifications (process mapping), and iteratively test and redesign these modifications (continuous quality improvement). As hypertension screening and management are integrated into chronic care services in sub-Saharan Africa, an opportunity exists to test whether SAIA interventions shown to be effective in improving efficiency and coverage of HIV services can be effective when applied to the non-communicable disease services that leverage the same platform. We hypothesize that SAIA-hypertension (SAIA-HTN) will be effective as an adaptable, scalable model for broad implementation.

Methods

We will deploy a hybrid type III cluster randomized trial to evaluate the impact of SAIA-HTN on hypertension management in eight intervention and eight control facilities in central Mozambique. Effectiveness outcomes include hypertension cascade flow measures (screening, diagnosis, management, control), as well as hypertension and HIV clinical outcomes among people living with HIV. Cost-effectiveness will be estimated as the incremental costs per additional patient passing through the hypertension cascade steps and the cost per additional disability-adjusted life year averted, from the payer perspective (Ministry of Health). SAIA-HTN implementation fidelity will be measured, and the Consolidated Framework for Implementation Research will guide qualitative evaluation of the implementation process in high- and low-performing facilities to identify determinants of intervention success and failure, and define core and adaptable components of the SAIA-HTN intervention. The Organizational Readiness for Implementing Change scale will measure facility-level readiness for adopting SAIA-HTN.

Discussion

SAIA packages user-friendly systems engineering tools to guide decision-making by front-line health workers to identify low-cost, contextually appropriate chronic care improvement strategies. By integrating SAIA into routine hypertension screening and management structures, this pragmatic trial is designed to test a model for national scale-up.

Trial registration

Registered 09/13/2019; NCT04088656).

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

✪ Advancing successful implementation of task-shifted mental health care in low-resource settings (BASIC): Protocol for a stepped wedge cluster randomized trial

Abstract:

Background

The mental health treatment gap—the difference between those with mental health need and those who receive treatment—is high in low- and middle-income countries. Task-shifting has been used to address the shortage of mental health professionals, with a growing body of research demonstrating the effectiveness of mental health interventions delivered through task-shifting. However, very little research has focused on how to embed, support, and sustain task-shifting in government-funded systems with potential for scale up. The goal of the Building and Sustaining Interventions for Children (BASIC) study is to examine implementation policies and practices that predict adoption, fidelity, and sustainment of a mental health intervention in the education sector via teacher delivery and the health sector via community health volunteer delivery.

Methods

BASIC is a Hybrid Type II Implementation-Effectiveness trial. The study design is a stepped wedge, cluster randomized trial involving 7 sequences of 40 schools and 40 communities surrounding the schools. Enrollment consists of 120 teachers, 120 community health volunteers, up to 80 site leaders, and up to 1280 youth and one of their primary guardians. The evidence-based mental health intervention is a locally adapted version of Trauma-focused Cognitive Behavioral Therapy, called Pamoja Tunaweza. Lay counselors are trained and supervised in Pamoja Tunaweza by local trainers who are experienced in delivering the intervention and who participated in a Train-the-Trainer model of skills transfer. After the first sequence completes implementation, in-depth interviews are conducted with initial implementing sites’ counselors and leaders. Findings are used to inform delivery of implementation facilitation for subsequent sequences’ sites. We use a mixed methods approach including qualitative comparative analysis to identify necessary and sufficient implementation policies and practices that predict 3 implementation outcomes of interest: adoption, fidelity, and sustainment. We also examine child mental health outcomes and cost of the intervention in both the education and health sectors.

Discussion

The BASIC study will provide knowledge about how implementation of task-shifted mental health care can be supported in government systems that already serve children and adolescents. Knowledge about implementation policies and practices from BASIC can advance the science of implementation in low-resource contexts.

Trial registration

ClinicalTrials.gov Identifier: NCT03243396. Registered 9th August 2017

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

Pragmatic measures for implementation research: development of the Psychometric and Pragmatic Evidence Rating Scale (PAPERS)

✪ The role of psychological safety and learning behavior in the development of effective quality improvement teams in Ghana: an observational study

Abstract:

Background

As lower-income countries look to develop a mature healthcare workforce and to improve quality and reduce costs, they are increasingly turning to quality improvement (QI), a widely-used strategy in higher-income countries. Although QI is an effective strategy for promoting evidence-based practices, QI interventions often fail to deliver desired results. This failure may reflect a problem with implementation. As the key implementing unit of QI, teams are critical for the success or failure of QI efforts. Thus, we used the model of work-team learning to identify factors related to the effectiveness of newly-formed hospital-based QI teams in Ghana.

Methods

This was a cross-sectional, observational study. We used structural equation modeling to estimate relationships between coaching-oriented team leadership, perceived support for teamwork, team psychological safety, team learning behavior, and QI implementation. We used an observer-rated measure of QI implementation, our outcome of interest. Team-level factors were measured using aggregated survey data from 490 QI team members, resulting in a sample size of 122 teams. We assessed model fit and tested significance of standardized parameters, including direct and indirect effects.

Results

Learning behavior mediated a positive relationship between psychological safety and QI implementation (β = 0.171, p = 0.001). Psychological safety mediated a positive relationship between team leadership and learning behavior (β = 0.384, p = 0.068). Perceived support for teamwork did not have a significant effect on psychological safety or learning behavior.

Conclusion

Psychological safety and learning behavior are key for the success of newly formed QI teams working in lower-income countries. Organizational leaders and implementation facilitators should consider these leverage points as they work to establish an environment where QI and other team-based activities are supported and encouraged.

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

✪ Scaling-up the Systems Analysis and Improvement Approach for prevention of mother-to-child HIV transmission in Mozambique (SAIA-SCALE): a stepped-wedge cluster randomized trial

Abstract:

Background

The introduction of option B+ — rapid initiation of lifelong antiretroviral therapy regardless of disease status for HIV-infected pregnant and breastfeeding women — can dramatically reduce HIV transmission during pregnancy, birth, and breastfeeding. Despite significant investments to scale-up Option B+, results have been mixed, with high rates of loss to follow-up, sub-optimal viral suppression, continued pediatric HIV transmission, and HIV-associated maternal morbidity. The Systems Analysis and Improvement Approach (SAIA) cluster randomized trial demonstrated that a package of systems engineering tools improved flow through the prevention of mother-to-child HIV transmission (PMTCT) cascade. This five-step, facility-level intervention is designed to improve understanding of gaps (cascade analysis), guide identification and prioritization of low-cost workflow modifications (process mapping), and iteratively test and redesign these modifications (continuous quality improvement). This protocol describes a novel model for SAIA delivery (SAIA-SCALE) led by district nurse supervisors (rather than research nurses), and evaluation procedures, to serve as a foundation for national scale-up.

Methods

The SAIA-SCALE stepped wedge trial includes three implementation waves, each 12 months in duration. Districts are the unit of assignment, with four districts randomly assigned per wave, covering all 12 districts in Manica province, Mozambique. In each district, the three highest volume health facilities will receive the SAIA-SCALE intervention (totaling 36 intervention facilities). The RE-AIM framework will guide SAIA-SCALE’s evaluation. Reach describes the proportion of clinics and population in Manica province reached, and sub-groups not reached. Effectiveness assesses impact on PMTCT process measures and patient-level outcomes. Adoption describes the proportion of districts/clinics adopting SAIA-SCALE, and determinants of adoption using the Organizational Readiness for Implementing Change (ORIC) tool. Implementation will identify SAIA-SCALE core elements and determinants of successful implementation using the Consolidated Framework for Implementation Research (CFIR). Maintenance describes the proportion of districts sustaining the intervention. We will also estimate the budget and program impact from the payer perspective for national scale-up.

Discussion

SAIA packages user-friendly systems engineering tools to guide decision-making by frontline health workers, and to identify low-cost, contextually appropriate PMTCT improvement strategies. By integrating SAIA delivery into routine management structures, this pragmatic trial is designed to test a model for national intervention scale-up.

Trial Registration

ClinicalTrials.gov NCT03425136 (registered 02/06/2018).

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

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