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      Automated Text Messaging With Patients in Department of Veterans Affairs Specialty Clinics: Cluster Randomized Trial

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          Abstract

          Background

          Acceptability of mobile phone text messaging as a means of asynchronous communication between health care systems and patients is growing. The US Department of Veterans Affairs (VA) has adopted an automated texting system (aTS) for national rollout. The aTS allows providers to develop clinical texting protocols to promote patient self-management and allows clinical teams to monitor patient progress between in-person visits. Texting-supported hepatitis C virus (HCV) treatment has not been previously tested.

          Objective

          Guided by the Practical, Robust Implementation and Sustainability Model (PRISM), we developed an aTS HCV protocol and conducted a mixed methods, hybrid type 2 effectiveness implementation study comparing two programs supporting implementation of the aTS HCV protocol for medication adherence in patients with HCV.

          Methods

          Seven VA HCV specialty clinics were randomized to usual aTS implementation versus an augmented implementation facilitation program. Implementation process measures included facilitation metrics, usability, and usefulness. Implementation outcomes included provider and patient use of the aTS HCV protocol, and effectiveness outcomes included medication adherence, health perceptions and behaviors, and sustained virologic response (SVR).

          Results

          Across the seven randomized clinics, there were 293 facilitation events using a core set of nine implementation strategies (157 events in augmented implementation facilitation, 136 events in usual implementation). Providers found the aTS appropriate with high potential for scale-up but not without difficulties in startup, patient selection and recruitment, and clinic workflow integration. Patients largely found the aTS easy to use and helpful; however, low perceived need for self-management support contributed to high declination. Reach and use was modest with 197 patients approached, 71 (36%) enrolled, 50 (25%) authenticated, and 32 (16%) using the aTS. In augmented implementation facilitation clinics, more patients actively used the aTS HCV protocol compared with usual clinic patients (20% vs 12%). Patients who texted reported lower distress about failing HCV treatment (13/15, 87%, vs 8/15, 53%; P=.05) and better adherence to HCV medication (11/15, 73%, reporting excellent adherence vs 6/15, 40%; P=.06), although SVR did not differ by group.

          Conclusions

          The aTS is a promising intervention for improving patient self-management; however, augmented approaches to implementation may be needed to support clinician buy-in and patient engagement. Considering the behavioral, social, organizational, and technical scale-up challenges that we documented, successful and sustained implementation of the aTS may require implementation strategies that operate at the clinic, provider, and patient levels.

          Trial Registration

          Retrospectively registered at ClinicalTrials.gov NCT03898349; https://clinicaltrials.gov/ct2/show/NCT03898349

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          Most cited references32

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          User acceptance of information technology: system characteristics, user perceptions and behavioral impacts

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            A practical, robust implementation and sustainability model (PRISM) for integrating research findings into practice.

            Although numerous studies address the efficacy and effectiveness of health interventions, less research addresses successfully implementing and sustaining interventions. As long as efficacy and effectiveness trials are considered complete without considering implementation in nonresearch settings, the public health potential of the original investments will not be realized. A barrier to progress is the absence of a practical, robust model to help identify the factors that need to be considered and addressed and how to measure success. A conceptual framework for improving practice is needed to integrate the key features for successful program design, predictors of implementation and diffusion, and appropriate outcome measures. A comprehensive model for translating research into practice was developed using concepts from the areas of quality improvement, chronic care, the diffusion of innovations, and measures of the population-based effectiveness of translation. PRISM--the Practical, Robust Implementation and Sustainability Model--evaluates how the health care program or intervention interacts with the recipients to influence program adoption, implementation, maintenance, reach, and effectiveness. The PRISM model provides a new tool for researchers and health care decision makers that integrates existing concepts relevant to translating research into practice.
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              Systematic review and meta-analysis of practice facilitation within primary care settings.

              This study was a systematic review with a quantitative synthesis of the literature examining the overall effect size of practice facilitation and possible moderating factors. The primary outcome was the change in evidence-based practice behavior calculated as a standardized mean difference. In this systematic review, we searched 4 electronic databases and the reference lists of published literature reviews to find practice facilitation studies that identified evidence-based guideline implementation within primary care practices as the outcome. We included randomized and nonrandomized controlled trials and prospective cohort studies published from 1966 to December 2010 in English language only peer-reviewed journals. Reviews of each study were conducted and assessed for quality; data were abstracted, and standardized mean difference estimates and 95% confidence intervals (CIs) were calculated using a random-effects model. Publication bias, influence, subgroup, and meta-regression analyses were also conducted. Twenty-three studies contributed to the analysis for a total of 1,398 participating practices: 697 practice facilitation intervention and 701 control group practices. The degree of variability between studies was consistent with what would be expected to occur by chance alone (I2 = 20%). An overall effect size of 0.56 (95% CI, 0.43-0.68) favored practice facilitation (z = 8.76; P <.001), and publication bias was evident. Primary care practices are 2.76 (95% CI, 2.18-3.43) times more likely to adopt evidence-based guidelines through practice facilitation. Meta-regression analysis indicated that tailoring (P = .05), the intensity of the intervention (P = .03), and the number of intervention practices per facilitator (P = .004) modified evidence-based guideline adoption. Practice facilitation has a moderately robust effect on evidence-based guideline adoption within primary care. Implementation fidelity factors, such as tailoring, the number of practices per facilitator, and the intensity of the intervention, have important resource implications.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                August 2019
                4 August 2019
                : 21
                : 8
                : e14750
                Affiliations
                [1 ] Center for Healthcare Organization and Implementation Research Bedford Department of Veterans Affairs Medical Center Department of Veterans Affairs Bedford, MA United States
                [2 ] Division of Health Informatics and Implementation Science Department of Population and Quantitative Health Sciences University of Massachusetts Medical School Worcester, MA United States
                [3 ] Division of Health Informatics and Implementation Science Department of Population and Quantitative Health Sciences University of Massachusetts Medical School Amherst, MA United States
                [4 ] Brigham and Women’s Hospital Department of Psychiatry Boston, MA United States
                [5 ] Harvard Medical School Boston, MA United States
                [6 ] Department of Health Law Policy and Management Boston University School of Public Health Boston, MA United States
                Author notes
                Corresponding Author: Vera Yakovchenko vera.yakovchenko@ 123456va.gov
                Author information
                http://orcid.org/0000-0002-9233-2867
                http://orcid.org/0000-0002-6888-0927
                http://orcid.org/0000-0002-2909-4018
                http://orcid.org/0000-0002-9816-1333
                http://orcid.org/0000-0002-4085-0507
                http://orcid.org/0000-0003-0193-7367
                http://orcid.org/0000-0001-5316-0671
                http://orcid.org/0000-0002-9941-5470
                Article
                v21i8e14750
                10.2196/14750
                6729116
                31444872
                b47e6beb-9259-4c47-8462-079f7479a984
                ©Vera Yakovchenko, Timothy P Hogan, Thomas K Houston, Lorilei Richardson, Jessica Lipschitz, Beth Ann Petrakis, Chris Gillespie, D Keith McInnes. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 04.08.2019.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/.as well as this copyright and license information must be included.

                History
                : 21 May 2019
                : 18 June 2019
                : 12 July 2019
                : 19 July 2019
                Categories
                Original Paper
                Original Paper

                Medicine
                implementation facilitation,texting,veterans,ehealth,self-management,digital health,digital medicine

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