Browsing by Author "Decosimo, Kasey"

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    Adapting to CONNECT: modifying a nursing home-based team-building intervention to improve hospital care team interactions, functioning, and implementation readiness.
    (BMC health services research, 2022-07) Wang, Virginia; D'Adolf, Joshua; Decosimo, Kasey; Robinson, Katina; Choate, Ashley; Bruening, Rebecca; Sperber, Nina; Mahanna, Elizabeth; Van Houtven, Courtney H; Allen, Kelli D; Colón-Emeric, Cathleen; Damush, Teresa M; Hastings, Susan N

    Background

    Clinical interventions often need to be adapted from their original design when they are applied to new settings. There is a growing literature describing frameworks and approaches to deploying and documenting adaptations of evidence-based practices in healthcare. Still, intervention modifications are often limited in detail and justification, which may prevent rigorous evaluation of interventions and intervention adaptation effectiveness in new contexts. We describe our approach in a case study, combining two complementary intervention adaptation frameworks to modify CONNECT for Quality, a provider-facing team building and communication intervention designed to facilitate implementation of a new clinical program.

    Methods

    This process of intervention adaptation involved the use of the Planned Adaptation Framework and the Framework for Reporting Adaptations and Modifications, for systematically identifying key drivers, core and non-core components of interventions for documenting planned and unplanned changes to intervention design.

    Results

    The CONNECT intervention's original context and setting is first described and then compared with its new application. This lays the groundwork for the intentional modifications to intervention design, which are developed before intervention delivery to participating providers. The unpredictable nature of implementation in real-world practice required unplanned adaptations, which were also considered and documented. Attendance and participation rates were examined and qualitative assessment of reported participant experience supported the feasibility and acceptability of adaptations of the original CONNECT intervention in a new clinical context.

    Conclusion

    This approach may serve as a useful guide for intervention implementation efforts applied in diverse clinical contexts and subsequent evaluations of intervention effectiveness.

    Trial registration

    The study was registered at ClinicalTrials.gov ( NCT03300336 ) on September 28, 2017.
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    Identifying Family and Unpaid Caregivers in Electronic Health Records: Descriptive Analysis.
    (JMIR formative research, 2022-07) Ma, Jessica E; Grubber, Janet; Coffman, Cynthia J; Wang, Virginia; Hastings, S Nicole; Allen, Kelli D; Shepherd-Banigan, Megan; Decosimo, Kasey; Dadolf, Joshua; Sullivan, Caitlin; Sperber, Nina R; Van Houtven, Courtney H

    Background

    Most efforts to identify caregivers for research use passive approaches such as self-nomination. We describe an approach in which electronic health records (EHRs) can help identify, recruit, and increase diverse representations of family and other unpaid caregivers.

    Objective

    Few health systems have implemented systematic processes for identifying caregivers. This study aimed to develop and evaluate an EHR-driven process for identifying veterans likely to have unpaid caregivers in a caregiver survey study. We additionally examined whether there were EHR-derived veteran characteristics associated with veterans having unpaid caregivers.

    Methods

    We selected EHR home- and community-based referrals suggestive of veterans' need for supportive care from friends or family. We identified veterans with these referrals across the 8 US Department of Veteran Affairs medical centers enrolled in our study. Phone calls to a subset of these veterans confirmed whether they had a caregiver, specifically an unpaid caregiver. We calculated the screening contact rate for unpaid caregivers of veterans using attempted phone screening and for those who completed phone screening. The veteran characteristics from the EHR were compared across referral and screening groups using descriptive statistics, and logistic regression was used to compare the likelihood of having an unpaid caregiver among veterans who completed phone screening.

    Results

    During the study period, our EHR-driven process identified 12,212 veterans with home- and community-based referrals; 2134 (17.47%) veteran households were called for phone screening. Among the 2134 veterans called, 1367 (64.06%) answered the call, and 813 (38.1%) veterans had a caregiver based on self-report of the veteran, their caregiver, or another person in the household. The unpaid caregiver identification rate was 38.1% and 59.5% among those with an attempted phone screening and completed phone screening, respectively. Veterans had increased odds of having an unpaid caregiver if they were married (adjusted odds ratio [OR] 2.69, 95% CI 1.68-4.34), had respite care (adjusted OR 2.17, 95% CI 1.41-3.41), or had adult day health care (adjusted OR 3.69, 95% CI 1.60-10.00). Veterans with a dementia diagnosis (adjusted OR 1.37, 95% CI 1.00-1.89) or veteran-directed care referral (adjusted OR 1.95, 95% CI 0.97-4.20) were also suggestive of an association with having an unpaid caregiver.

    Conclusions

    The EHR-driven process to identify veterans likely to have unpaid caregivers is systematic and resource intensive. Approximately 60% (813/1367) of veterans who were successfully screened had unpaid caregivers. In the absence of discrete fields in the EHR, our EHR-driven process can be used to identify unpaid caregivers; however, incorporating caregiver identification fields into the EHR would support a more efficient and systematic identification of caregivers.

    Trial registration

    ClincalTrials.gov NCT03474380; https://clinicaltrials.gov/ct2/show/NCT03474380.
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    Mandated caregiver training in the Veterans Health Administration: Caregiver inquiry informs national dissemination.
    (The Gerontologist, 2022-11) Sperber, Nina R; Boucher, Nathan; Hughes, Jaime M; Bruening, Rebecca; Zullig, Leah L; Decosimo, Kasey; Tucker, Matthew; Christensen, Leah A; Allen, Kelli D; Hastings, Susan N; Van Houtven, Courtney H

    Background and objectives

    A minority of family caregivers receive training, with implications for their own and their recipient's outcomes. Federal policy has supported implementation and expansion of caregiver training and support. The Department of Veterans Affairs (VA) has developed a national Caregiver Support Program and collaborated with VA health services researchers to explore caregivers' acceptance of an evidence-based training program in preparation for system-wide dissemination.

    Research design and methods

    This approach entailed a convergent mixed-methods design, which involved separate analyses of quantitative and qualitative data. Survey questions based on the Kirkpatrick model for training evaluation measured caregivers' reaction and learning and interview questions elicited caregivers' reports about the value of the program for them.

    Results

    Most caregivers reported satisfaction with the training when responding to survey questions, although qualitative interviews revealed caveats suggesting need to hone the best timing and specific group of caregivers for maximal benefit.

    Discussion and implications

    Our findings indicate that understanding program-user fit may be particularly critical when implementing training for caregivers as they come to the program at different points along their caregiving journey, needing differing types and intensities of support. While a general program may appeal to policymakers aiming to scale caregiver training within a large, heterogeneous system, there may be shortcomings in terms of end-user acceptance and subsequent downstream outcomes such as reach and ultimately program effectiveness. Good, iterative communication flow between program developers and policymakers facilitates this understanding and, in turn, decisions about scaling.
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    Ready, set, go! The role of organizational readiness to predict adoption of a family caregiver training program using the Rogers' diffusion of innovation theory.
    (Implementation science communications, 2023-06) Van Houtven, Courtney H; Drake, Connor; Malo, Teri L; Decosimo, Kasey; Tucker, Matthew; Sullivan, Caitlin; D'Adolf, Josh; Hughes, Jaime M; Christensen, Leah; Grubber, Janet M; Coffman, Cynthia J; Sperber, Nina R; Wang, Virginia; Allen, Kelli D; Hastings, S Nicole; Shea, Christopher M; Zullig, Leah L

    Background

    Caregivers FIRST is an evidence-based program addressing gaps in caregivers' skills. In 2020, the Veterans Health Administration Caregiver Support Program (CSP) nationally endorsed Caregivers FIRST, offering credit in leadership performance plans to encourage all VA medical centers (VAMCs) to implement locally. This study examines the association of organizational readiness with VAMC adoption of Caregivers FIRST.

    Methods

    In a cohort observational study, we surveyed CSP managers about their facilities' readiness to implement using the Organizational Readiness for Implementing Change (ORIC) instrument and compared change commitment and change efficacy domains among VAMCs "adopters" defined as delivering Caregivers FIRST within 1 year of the national announcement to those that did not ("non-adopters"). Within "adopters," we categorized time to adoption based on Rogers' diffusion of innovation theory including "innovators," "early adopters," "early majority," "late adopters," and "laggards." Organizational readiness and site characteristics (facility complexity, staffing levels, volume of applications for caregiver assistance services) were compared between "adopters," "non-adopters," and between time to adoption subcategories. Separate logistic regression models were used to assess whether ORIC and site characteristics were associated with early adoption among "adopters."

    Results

    Fifty-one of 63 (81%) VAMCs with CSP manager survey respondents adopted Caregivers FIRST during the first year. ORIC change commitment and efficacy were similar for "adopters" and "non-adopters." However, sites that adopted earlier (innovators and early adopters) had higher ORIC change commitment and efficacy scores than the rest of the "adopters." Logistic regression results indicated that higher ORIC change commitment (odds ratio [OR] = 2.57; 95% confidence interval [CI], 1.11-5.95) and ORIC change efficacy (OR = 2.60; 95% CI, 1.12-6.03) scores were associated with increased odds that a VAMC was an early adopter (categorized as an "innovator," "early adopter", or "early majority"). Site-level characteristics were not associated with Caregivers FIRST early adoption.

    Conclusions

    To our knowledge, this study is the first to prospectively assess organizational readiness and the timing of subsequent program adoption. Early adoption was associated with higher ORIC change commitment and change efficacy and not site-level characteristics. These findings yield insights into the role of organizational readiness to accelerate program adoption.

    Trial registration

    ClinicalTrials.gov, NCT03474380. Registered on March 22, 2018.