Adaptation and Implementation of the Invested in Diabetes Study

Join us as this presenter discusses this poster live on Tuesday, August 11, 2020 | Track C at 5:05 PM Mountain

PRESENTER
DENNIS GURFINKEL
Sr. PRA, ACCORDS
BACKGROUND
Diabetes group visits are historically challenging to implement in primary care. Pragmatic trials optimally use existing staff to deliver the intervention and allow flexibility in adherence and delivery.
OBJECTIVES
1. To describe use of the Replicating Effective Programs for adapting and implementing an evidence-based intervention for use in real-world care settings.
2. To describe methods for establishing fidelity and adaptations to a study protocol to ensure rigor and feasibility of the conduct of a pragmatic trial.
METHODS
The Invested in Diabetes study is an ongoing pragmatic cluster randomized comparative effectiveness trial testing two group visit models for delivering the Targeted Training in Illness Management (TTIM) curriculum for diabetes in primary care.1 In one model, TTIM is delivered by a health educator, with set topic order. In the other model, TTIM is delivered by a multidisciplinary care team, with topic order selected by patients. Practices are supported using the Replicating Effective Programs (REP) implementation framework plus intensive practice facilitation.2 Patient and practice stakeholder input was used to adapted TTIM curriculum and the study protocol and outcome measures. Dedicated research staff were used to help practices implement the project and collect outcomes data (patient-reported outcomes and Electronic Health Record data). Finally, the study team observes one session per practice/quarter to monitor fidelity to the TTIM curriculum and study core elements, documenting adaptations to content or delivery.
RESULTS
Study team members rated the pragmatic design of the study protocol according to the PRECIS-2 guidelines3 (Figure 1). Core elements of the study were identified and described to ensure fidelity. Stakeholder-led adaptations of the protocol outside of core elements were identified pre-implementation, including 6 two-hour sessions instead of 12 one-hour sessions and streamlining patient-reported outcomes to those with clinical utility and patient preference. Twelve in-person and virtual trainings have been conducted to date; trainings have progressively highlighted importance of skill building activities for SMA facilitators. Around 80 practice coaching sessions have been done to help practices start and sustain their group visits. Practices delivered test data extracts in summer 2019; data quality assessments revealed variability in accuracy and completeness. Thirteen months into the 24-month implementation period, 86 cohorts have gone live with 613 out of the goal of 1440 patients enrolled in group visits. Ongoing practice support is maintained through dedicated practice coaches to help troubleshoot issues and maintain fidelity to the study protocol.
CONCLUSIONS
To retain rigor in the study design, the REP framework allowed for adaptation to context while establishing core elements that must remain in place for hypothesis testing. The Invested in Diabetes study implementation processes help to ensure rigor of the design as well as feasibility of delivery in real-world primary care practices.
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Pragmatic Trial Implementing High-Intensity Rehabilitation in Skilled Nursing Facilities

Join us as this presenter discusses this poster live on Tuesday, August 11, 2020 | Track A at 4:45 PM Mountain

PRESENTER
KATIE SEIDLER PT, DPT
Post-doctoral Fellow, University of Colorado Anschutz Medical Campus, Department of Physical Medicine & Rehabilitation, Physical Therapy Program
BACKGROUND
Functional recovery during a skilled nursing facility (SNF) stay is poor1,2, likely related to inconsistent rehabilitation practices3-5. This pragmatic study evaluated the feasibility and effectiveness of a high-intensity rehabilitation protocol in improving function during a SNF stay.
POPULATION
Older adults (Veterans) admitted to SNF following a hospitalization.
METHODS
Data were collected on 103 consecutive Veterans admitted to one SNF (age 77.7 ±10 years; 89% male). The i-STRONGER Program (IntenSive Therapeutic Rehabilitation for Older Skilled NursinG HomE Residents) integrates principles of physiologic tissue overload and strength training into rehabilitation6. A comparison of usual care with i-STRONGER occurred using a staged, 2-independent group design with the SNF serving as its own control. Therapists assessed function at evaluation and discharge via the Short Physical Performance Battery (SPPB) and gait speed 7,8. Treatment fidelity of i-STRONGER was assessed with an observational checklist. Regression analyses evaluated the response of SPPB or gait speed change to treatment group.
RESULTS
i-STRONGER participants exhibited a 0.13 meters/second greater change in gait speed than Usual Care (p=0.05). i-STRONGER demonstrated a 0.64-point greater change in SPPB than Usual Care (p=0.27). The average SNF length of stay was 3.5 days shorter during i- STRONGER (p=0.26), which equated to savings of ~$1537.38 per patient9. Adherence to i- Stronger was 99% over 11 sessions. No treatment-specific adverse events were reported.
CONCLUSIONS
High-intensity rehabilitation for patients admitted to a SNF following hospitalization effectively and safely improves function with reduced length of stay. Implications for practice: A high-intensity rehabilitation approach in SNFs appeared to improve functional outcomes in less time.
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The Data Science to Patient Value (D2V) Navigation Lab

Join us as this presenter discusses this poster live on Tuesday, August 11, 2020 | Track A at 5:25 PM Mountain

PRESENTER
BRAD MORSE PhD, MA on behalf of MICHAEL HO, PhD
Research Instructor, University of Colorado Anschutz Medical Campus – D2V
BACKGROUND
The National Academy of Medicine defines a Learning Health System as a health system that assembles, analyzes, and interprets data. Findings are leveraged to adapt and improve delivery of patient-centered care. A challenge for a Learning Health System is responsive learning and adapting, i.e., thinking differently to address what seem like problems that can be managed with the application of traditional methods. To assist UCHealth and Children’s Hospital of Colorado with this process, the Navigation Lab (NavLab) performs interdisciplinary evaluation of health system clinical programs and initiatives.
SETTING
The University of Colorado Anschutz Medical Campus/UCHealth Learning Health System. The NavLab works with physicians and departments serving the many patients that utilize the network of hospitals associated with the Learning Health System. Due to the unique setting in which the NavLab works, our projects engage a diverse spectrum of communities within the general population.
METHODS
The NavLab’s multidisciplinary team includes a health economist, systems engineer, biostatisticians, qualitative analysts, clinicians, analytics developers, user experience (UX) designer, and a program manager. The NavLab utilizes an interdisciplinary approach for program evaluation including comparative effectiveness analysis, economic evaluation, workflow and staffing assessment, and user-center design. The team engages health system partners to identify opportunities for Quality Improvement (QI). Stakeholder engagement is critical for all evaluations in terms of defining the scope of the QI and how change, effectiveness, or efficiency will be measured.
RESULTS
NavLab evaluations include interdisciplinary outcomes related to care quality, efficiency, and cost savings from multiple perspectives to improve the healthcare system.
CONCLUSIONS
The NavLab’s next steps include expanding use of economic modelling, workflow evaluations and simulations, user-center design, and predictive analytics with operational and clinical partners.
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