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An EMR-Based Alert with Brief Provider-Led ART Adherence Counseling: Promising Results of the InfoPlus Adherence Pilot Study Among Haitian Adults with HIV Initiating ART

Authors:

Nancy Puttkammer, Jane M. Simoni, Tracy Sandifer, Jean Marcxime Chéry, Witson Dervis, Jean Gabriel Balan, Jean Geto Dubé, Guirlaine Calixte, Ermane Robin, Kesner François, Cameron Casey, Ira Wilson & Jean Guy Honoré

University of Washington affiliated authors are displayed in bold.

Subscription Required for Full Text Access

Published: July 2020

Read the full text in the subscription access journal AIDS and Behavior

✪ Implementation Strategies to Enhance the Implementation of eHealth Programs for Patients With Chronic Illnesses: Realist Systematic Review

Authors:

Cecilie Varsi, Lise Solberg Nes, Olöf Birna Kristjansdottir, Saskia M Kelders, Una Stenberg, Heidi Andersen Zangi, Elin Børøsund, Karen Elizabeth Weiss, Audun Stubhaug, Rikke Aune Asbjørnsen, Marianne Westeng, Marte Ødegaard, Hilde Eide

University of Washington affiliated authors are displayed in bold.

Published: September 2019

Read the full text in the open access Journal of Medical Internet Research

 

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Abstract:

Background

There is growing evidence of the positive effects of electronic health (eHealth) interventions for patients with chronic illness, but implementation of such interventions into practice is challenging. Implementation strategies that potentially impact implementation outcomes and implementation success have been identified. Which strategies are actually used in the implementation of eHealth interventions for patients with chronic illness and which ones are the most effective is unclear.

Objective

This systematic realist review aimed to summarize evidence from empirical studies regarding (1) which implementation strategies are used when implementing eHealth interventions for patients with chronic illnesses living at home, (2) implementation outcomes, and (3) the relationship between implementation strategies, implementation outcomes, and degree of implementation success.

Methods

A systematic literature search was performed in the electronic databases MEDLINE, Embase, PsycINFO, Scopus, Allied and Complementary Medicine Database, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Library. Studies were included if they described implementation strategies used to support the integration of eHealth interventions into practice. Implementation strategies were categorized according to 9 categories defined by the Expert Recommendations for Implementing Change project: (1) engage consumers, (2) use evaluative and iterative strategies, (3) change infrastructure, (4) adapt and tailor to the context, (5) develop stakeholder interrelationships, (6) use financial strategies, (7) support clinicians, (8) provide interactive assistance, and (9) train and educate stakeholders. Implementation outcomes were extracted according to the implementation outcome framework by Proctor and colleagues: (1) acceptability, (2) adoption, (3) appropriateness, (4) cost, (5) feasibility, (6) fidelity, (7) penetration, and (8) sustainability. Implementation success was extracted according to the study authors’ own evaluation of implementation success in relation to the used implementation strategies.

Results

The implementation strategies management support and engagement, internal and external facilitation, training, and audit and feedback were directly related to implementation success in several studies. No clear relationship was found between the number of implementation strategies used and implementation success.

Conclusions

This is the first review examining implementation strategies, implementation outcomes, and implementation success of studies reporting the implementation of eHealth programs for patients with chronic illnesses living at home. The review indicates that internal and external facilitation, audit and feedback, management support, and training of clinicians are of importance for eHealth implementation. The review also points to the lack of eHealth studies that report implementation strategies in a comprehensive way and highlights the need to design robust studies focusing on implementation strategies in the future.

Trial Registration

PROSPERO CRD42018085539

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

✪ A Mobile Health Strategy to Support Adherence to Antiretroviral Preexposure Prophylaxis

Authors:

Jonathan D. Fuchs, Kristefer Stojanovski, Eric Vittinghoff, Vanessa M. McMahan, Sybill G. Hosek, K. Rivet Amico, Aminta Kouyate, Hailey J. Gilmore, Susan P. Buchbinder, Richard T. Lester, Robert M. Grant, and Albert Y. Liu

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: March 2018

Read the full text open access in the journal AIDS Patient Care and STDs

Health Information Technologies — Academic and Commercial Evaluation (HIT-ACE) methodology: Description and application to clinical feedback systems

Authors:

Aaron R. Lyon, Cara C. Lewis, Abigail Melvin, Meredith Boyd, Semret Nicodimos, Freda F. Liu, Nathaniel Jungbluth

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: September 2016

Read the full text in the open access journal Implementation Science

Abstract:

Background

Health information technologies (HIT) have become nearly ubiquitous in the contemporary healthcare landscape, but information about HIT development, functionality, and implementation readiness is frequently siloed. Theory-driven methods of compiling, evaluating, and integrating information from the academic and commercial sectors are necessary to guide stakeholder decision-making surrounding HIT adoption and to develop pragmatic HIT research agendas. This article presents the Health Information Technologies—Academic and Commercial Evaluation (HIT-ACE) methodology, a structured, theory-driven method for compiling and evaluating information from multiple sectors. As an example demonstration of the methodology, we apply HIT-ACE to mental and behavioral health measurement feedback systems (MFS). MFS are a specific class of HIT that support the implementation of routine outcome monitoring, an evidence-based practice.

Results

HIT-ACE is guided by theories and frameworks related to user-centered design and implementation science. The methodology involves four phases: (1) coding academic and commercial materials, (2) developer/purveyor interviews, (3) linking putative implementation mechanisms to hit capabilities, and (4) experimental testing of capabilities and mechanisms. In the current demonstration, phase 1 included a systematic process to identify MFS in mental and behavioral health using academic literature and commercial websites. Using user-centered design, implementation science, and feedback frameworks, the HIT-ACE coding system was developed, piloted, and used to review each identified system for the presence of 38 capabilities and 18 additional characteristics via a consensus coding process. Bibliometic data were also collected to examine the representation of the systems in the scientific literature. As an example, results are presented for the application of HIT-ACE phase 1 to MFS wherein 49 separate MFS were identified, reflecting a diverse array of characteristics and capabilities.

Conclusions

Preliminary findings demonstrate the utility of HIT-ACE to represent the scope and diversity of a given class of HIT beyond what can be identified in the academic literature. Phase 2 data collection is expected to confirm and expand the information presented and phases 3 and 4 will provide more nuanced information about the impact of specific HIT capabilities. In all, HIT-ACE is expected to support adoption decisions and additional HIT development and implementation research.

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