Implementation of a stepped wedge cluster randomized trial to evaluate a hospital mobility program

Impact of implementing the critical-care pain observation tool in the adult intensive care unit: A nonrandomised stepped-wedge trial

BACKGROUND

Approximately 70% of patients in intensive care units (ICUs) experience untreated pain, often due to severe patient conditions and communication barriers.

AIM

The aim of this study was to implement the Critical-Care Pain Observation Tool (CPOT) to improve pain assessment in patients unable to self-report pain in the ICU.

METHOD

A stepped-wedge trial was conducted in six adult ICUs in Saudi Arabia between February and June 2022. The sequential transition of ICU clusters occurred in February 2022, from control to intervention, until all ICUs were exposed to the intervention. The primary outcome was the number of pain assessments, whereas the secondary outcomes were reassessments. Other outcomes were length of stay, mechanical ventilation duration, and administered doses of sedatives and analgesic agents. Statistical analyses were performed using the Statistical Analysis Software v9.4.

RESULTS

A total of 725 patients unable to self-report pain were included; 65% (n = 469) were male with an average age of 55 years. Implementing CPOT showed a significant increase in the number of pain assessments (rate ratio: 1.77, 95% confidence interval: 1.45, 2.16, p < 0.001) and reassessments (rate ratio: 13.99, 95% confidence interval: 8.14, 24.02, p < 0.001) between intervention and control conditions. There was no significant effect on the ICU length of stay, mechanical ventilation duration, and the amount of sedation (midazolam, propofol, and ketamine) and analgesia (fentanyl) administered.

CONCLUSION

The study indicates that the implementation of the CPOT increased the frequency of pain assessment and reassessment. However, the impact on patient outcomes remains inconclusive. Further investigations focussing on CPOT as the primary pain scale are necessary to determine its holistic impact on patient outcomes over the long term.

TRIAL REGISTRATION

NCT05488834.

CLINICAL TRIAL REGISTRATION NUMBER

This study was registered with the U.S. National Library of Medicine (ClinicalTrial.gov, NCT05488834).

The business case for hospital mobility programs in the veterans health care system: Results from multi-hospital implementation of the STRIDE program

OBJECTIVE

To conduct a business case analysis for Department of Veterans Affairs (VA) program STRIDE (ASsisTed EaRly MobIlization for hospitalizeD older VEterans), which was designed to address immobility for hospitalized older adults.

DATA SOURCES AND STUDY SETTING

This was a secondary analysis of primary data from a VA 8-hospital implementation trial conducted by the Function and Independence Quality Enhancement Research Initiative (QUERI). In partnership with VA operational partners, we estimated resources needed for program delivery in and out of the VA as well as national implementation facilitation in the VA. A scenario analysis using wage data from the Bureau of Labor Statistics informs implementation decisions outside the VA.

STUDY DESIGN

This budget impact analysis compared delivery and implementation costs for two implementation strategies (Replicating Effective Programs [REP]+CONNECT and REP-only). To simulate national budget scenarios for implementation, we estimated the number of eligible hospitalizations nationally and varied key parameters (e.g., enrollment rates) to evaluate the impact of uncertainty.

DATA COLLECTION

Personnel time and implementation outcomes were collected from hospitals (2017-2019). Hospital average daily census and wage data were estimated as of 2022 to improve relevance to future implementation.

PRINCIPAL FINDINGS

Average implementation costs were $9450 for REP+CONNECT and $5622 for REP-only; average program delivery costs were less than $30 per participant in both VA and non-VA hospital settings. Number of walks had the most impact on delivery costs and ranged from 1 to 5 walks per participant. In sensitivity analyses, cost increased to $35 per participant if a physical therapist assistant conducts the walks. Among study hospitals, mean enrollment rates were higher among the REP+CONNECT hospitals (12%) than the REP-only hospitals (4%) and VA implementation costs ranged from $66 to $100 per enrolled.

CONCLUSIONS

STRIDE is a low-cost intervention, and program participation has the biggest impact on the resources needed for delivering STRIDE.

TRIAL REGISTRATION

ClinicalsTrials.gov NCT03300336. Prospectively registered on 3 October 2017.

Site-initiated adaptations in the implementation of an evidence-based inpatient walking program

BACKGROUND

There is increasing recognition of the importance of maximizing program-setting fit in scaling and spreading effective programs. However, in the context of hospital-based mobility programs, there is limited information on how settings could consider local context and modify program characteristics or implementation activities to enhance fit. To fill this gap, we examined site-initiated adaptations to STRIDE, a hospital-based mobility program for older Veterans, at eight Veterans Affairs facilities across the United States.

METHODS

STRIDE was implemented at eight hospitals in a stepped-wedge cluster randomized trial. During the pre-implementation phase, sites were encouraged to adapt program characteristics to optimize implementation and align with their hospital's resources, needs, and culture. Recommended adaptations included those related to staffing models, marketing, and documentation. To assess the number and types of adaptations, multiple data sources were reviewed, including implementation support notes from site-level support calls and group-based learning collaborative sessions. Adaptations were classified based on the Framework for Reporting Adaptations and Modifications-Enhanced (FRAME), including attention to what was adapted, when, why, and by whom. We reviewed the number and types of adaptations across sites that did and did not sustain STRIDE, defined as continued program delivery during the post-implementation period.

RESULTS

A total of 25 adaptations were reported and classified across seven of the eight sites. Adaptations were reported across five areas: program documentation (n = 13), patient eligibility criteria (n = 5), program enhancements (n = 3), staffing model (n = 2), and marketing and recruitment (n = 2). More than one-half of adaptations were planned. Adaptations were common in both sustaining and non-sustaining sites.

CONCLUSIONS

Adaptations were common within a program designed with flexible implementation in mind. Identifying common areas of planned and unplanned adaptations within a flexible program such as STRIDE may contribute to more efficient and effective national scaling. Future research should evaluate the relationship between adaptations and program implementation.

Enhancing team communication to improve implementation of a supervised walking program for hospitalized veterans: Evidence from a multi-site trial in the Veterans Health Administration

INTRODUCTION

The timely translation of evidence-based programs into real-world clinical settings is a persistent challenge due to complexities related to organizational context and team function, particularly in inpatient settings. Strategies are needed to promote quality improvement efforts and implementation of new clinical programs.

OBJECTIVE

This study examines the role of CONNECT, a complexity science-based implementation intervention to promote team readiness, for enhancing implementation of the 'Assisted Early Mobility for Hospitalized Older Veterans' program (STRIDE), an inpatient, supervised walking program.

DESIGN

We conducted a stepped-wedge cluster randomized trial using a convergent mixed-methods design. Within each randomly assigned stepped-wedge sequence, Veterans Affairs Medical Centers (VAMCs) were randomized to receive standardized implementation support only or additional training via the CONNECT intervention. Data for the study were obtained from hospital administrative and electronic health records, surveys, and semi-structured interviews with clinicians before and after implementation of STRIDE.

SETTING

Eight U.S. VAMCs.

PARTICIPANTS

Three hundred fifty-three survey participants before STRIDE implementation and 294 surveys after STRIDE implementation. Ninety-two interview participants.

INTERVENTION

CONNECT, a complexity-science-based intervention to improve team function.

MAIN OUTCOME MEASURES

The implementation outcomes included STRIDE reach and fidelity. Secondary outcomes included validated measures of team function (i.e., team communication, coordination, role clarity).

RESULTS

At four VAMCs randomized to CONNECT, reach was higher (mean 12.4% vs. 3.8%), and fidelity was similar to four non-CONNECT VAMCs. VAMC STRIDE delivery teams receiving CONNECT reported improvements in team function domains, similar to non-CONNECT VAMCs. Qualitative findings highlight CONNECT's impact and the influence of team characteristics and contextual factors, including team cohesion, leadership support, and role clarity, on reach and fidelity.

CONCLUSION

CONNECT may promote greater reach of STRIDE, but improvement in team function among CONNECT VAMCs was similar to improvement among non-CONNECT VAMCs. Qualitative findings suggest that CONNECT may improve team function and implementation outcomes but may not be sufficient to overcome structural barriers related to implementation capacity.

Modifications of the readiness assessment for pragmatic trials tool for appropriate use with Indigenous populations

BACKGROUND

Inequities in health access and outcomes exist between Indigenous and non-Indigenous populations. Embedded pragmatic randomized, controlled trials (ePCTs) can test the real-world effectiveness of health care interventions. Assessing readiness for ePCT, with tools such as the Readiness Assessment for Pragmatic Trials (RAPT) model, is an important component. Although equity must be explicitly incorporated in the design, testing, and widespread implementation of any health care intervention to achieve equity, RAPT does not explicitly consider equity. This study aimed to identify adaptions necessary for the application of the 'Readiness Assessment for Pragmatic Trials' (RAPT) tool in embedded pragmatic randomized, controlled trials (ePCTs) with Indigenous communities.

METHODS

We surveyed and interviewed participants (researchers with experience in research involving Indigenous communities) over three phases (July-December 2022) in this mixed-methods study to explore the appropriateness and recommended adaptions of current RAPT domains and to identify new domains that would be appropriate to include. We thematically analyzed responses and used an iterative process to modify RAPT.

RESULTS

The 21 participants identified that RAPT needed to be modified to strengthen readiness assessment in Indigenous research. In addition, five new domains were proposed to support Indigenous communities' power within the research processes: Indigenous Data Sovereignty; Acceptability - Indigenous Communities; Risk of Research; Research Team Experience; Established Partnership). We propose a modified tool, RAPT-Indigenous (RAPT-I) for use in research with Indigenous communities to increase the robustness and cultural appropriateness of readiness assessment for ePCT. In addition to producing a tool for use, it outlines a methodological approach to adopting research tools for use in and with Indigenous communities by drawing on the experience of researchers who are part of, and/or working with, Indigenous communities to undertake interventional research, as well as those with expertise in health equity, implementation science, and public health.

CONCLUSION

RAPT-I has the potential to provide a useful framework for readiness assessment prior to ePCT in Indigenous communities. RAPT-I also has potential use by bodies charged with critically reviewing proposed pragmatic research including funding and ethics review boards.

Organizational Characteristics of Hospitals Meeting STRIDE Program Adoption Benchmarks to Support Mobility for Hospitalized Persons

There are few validated contextual measures predicting adoption of evidence-based programs. Variation in context at clinical sites can hamper dissemination. We examined organizational characteristics of Veterans Affairs hospitals implementing STRIDE, a hospital walking program, and characteristics' influences on program adoption. Using a parallel mixed-method design, we describe context and organizational characteristics by program adoption. Organizational characteristics included: organizational resilience, implementation climate, organizational readiness to implement change, highest complexity sites versus others, material support, adjusted length of stay (LOS) above versus below national median, and improvement experience. We collected intake forms at hospital launch and qualitative interviews with staff members at 4 hospitals that met the initial adoption benchmark, defined as completing supervised walks with 5+ unique hospitalized Veterans during months 5 to 6 after launch with low touch implementation support. We identified that 31% (n = 11 of 35) of hospitals met adoption benchmarks. Seven percent of highest complexity hospitals adopted compared to 48% with lower complexity. Forty-three percent that received resources adopted compared to 29% without resources. Thirty-six percent of hospitals with above-median LOS adopted compared to 23% with below-median. Thirty-five percent with at least some implementation experience adopted compared to 0% with very little to no experience. Adopters reported higher organizational resilience than non-adopters (mean = 23.5 [SD = 2.6] vs 22.7 [SD = 2.6]). Adopting hospitals reported greater organizational readiness to change than those that did not (mean = 4.2 [SD = 0.5] vs 3.8 [SD = 0.6]). Qualitatively, all sites reported that staff were committed to implementing STRIDE. Participants reported additional barriers to adoption including challenges with staffing and delays associated with hiring staff. Adopters reported that having adequate staff facilitated implementation. Implementation climate did not have an association with meeting STRIDE program adoption benchmarks in this study. Contextual factors which may be simple to assess, such as resource availability, may influence adoption of new programs without intensive implementation support.

Effects of Implementation of a Supervised Walking Program in Veterans Affairs Hospitals : A Stepped-Wedge, Cluster Randomized Trial

BACKGROUND

In trials, hospital walking programs have been shown to improve functional ability after discharge, but little evidence exists about their effectiveness under routine practice conditions.

OBJECTIVE

To evaluate the effect of implementation of a supervised walking program known as STRIDE (AssiSTed EaRly MobIlity for HospitalizeD VEterans) on discharge to a skilled-nursing facility (SNF), length of stay (LOS), and inpatient falls.

DESIGN

Stepped-wedge, cluster randomized trial. (ClinicalTrials.gov: NCT03300336).

SETTING

8 Veterans Affairs hospitals from 20 August 2017 to 19 August 2019.

PATIENTS

Analyses included hospitalizations involving patients aged 60 years or older who were community dwelling and admitted for 2 or more days to a participating medicine ward.

INTERVENTION

Hospitals were randomly assigned in 2 stratified blocks to a launch date for STRIDE. All hospitals received implementation support according to the Replicating Effective Programs framework.

MEASUREMENTS

The prespecified primary outcomes were discharge to a SNF and hospital LOS, and having 1 or more inpatient falls was exploratory. Generalized linear mixed models were fit to account for clustering of patients within hospitals and included patient-level covariates.

RESULTS

Patients in pre-STRIDE time periods (n = 6722) were similar to post-STRIDE time periods (n = 6141). The proportion of patients with any documented walk during a potentially eligible hospitalization ranged from 0.6% to 22.7% per hospital. The estimated rates of discharge to a SNF were 13% pre-STRIDE and 8% post-STRIDE. In adjusted models, odds of discharge to a SNF were lower among eligible patients hospitalized in post-STRIDE time periods (odds ratio [OR], 0.6 [95% CI, 0.5 to 0.8]) compared with pre-STRIDE. Findings were robust to sensitivity analyses. There were no differences in LOS (rate ratio, 1.0 [CI, 0.9 to 1.1]) or having an inpatient fall (OR, 0.8 [CI, 0.5 to 1.1]).

LIMITATION

Direct program reach was low.

CONCLUSION

Although the reach was limited and variable, hospitalizations occurring during the STRIDE hospital walking program implementation period had lower odds of discharge to a SNF, with no change in hospital LOS or inpatient falls.

PRIMARY FUNDING SOURCE

U.S. Department of Veterans Affairs Quality Enhancement Research Initiative (Optimizing Function and Independence QUERI).

Implementation of a batched stepped wedge trial evaluating a quality improvement intervention for surgical teams to reduce anastomotic leak after right colectomy

BACKGROUND

Large-scale quality improvement interventions demand robust trial designs with flexibility for delivery in different contexts, particularly during a pandemic. We describe innovative features of a batched stepped wedge trial, ESCP sAfe Anastomosis proGramme in CoLorectal SurgEry (EAGLE), intended to reduce anastomotic leak following right colectomy, and reflect on lessons learned about the implementation of quality improvement programmes on an international scale.

METHODS

Surgical units were recruited and randomised in batches to receive a hospital-level education intervention designed to reduce anastomotic leak, either before, during, or following data collection. All consecutive patients undergoing right colectomy were included. Online learning, patient risk stratification and an in-theatre checklist constituted the intervention. The study was powered to detect an absolute risk reduction of anastomotic leak from 8.1 to 5.6%. Statistical efficiency was optimised using an incomplete stepped wedge trial design and study batches analysed separately then meta-analysed to calculate the intervention effect. An established collaborative group helped nurture strong working relationships between units/countries and a prospectively designed process evaluation will enable evaluation of both the intervention and its implementation.

RESULTS

The batched trial design allowed sequential entry of clusters, targeted research training and proved to be robust to pandemic interruptions. Staggered start times in the incomplete stepped wedge design with long lead-in times can reduce motivation and engagement and require careful administration.

CONCLUSION

EAGLE's robust but flexible study design allowed completion of the study across globally distributed geographical locations in spite of the pandemic. The primary outcome analysed in conjunction with the process evaluation will ensure a rich understanding of the intervention and the effects of the study design.

TRIAL REGISTRATION

National Institute of Health Research Clinical Research Network portfolio IRAS ID: 272,250. Health Research Authority approval 18 October 2019.

CLINICALTRIALS

gov, identifier NCT04270721, protocol ID RG_19196.

The Johns Hopkins Activity and Mobility Promotion Program: A Framework to Increase Activity and Mobility Among Hospitalized Patients

BACKGROUND

Greater mobility and activity among hospitalized patients has been linked to key outcomes, including decreased length of stay, increased odds of home discharge, and fewer hospital-acquired morbidities. Systematic approaches to increasing patient mobility and activity are needed to improve patient outcomes during and following hospitalization.

PROBLEM

While studies have found the Johns Hopkins Activity and Mobility Promotion (JH-AMP) program improves patient mobility and associated outcomes, program details and implementation methods are not published.

APPROACH

JH-AMP is a systematic approach that includes 8 steps, described in this article: (1) organizational prioritization; (2) systematic measurement and daily mobility goal; (3) barrier mitigation; (4) local interdisciplinary roles; (5) sustainable education and training; (6) workflow integration; (7) data feedback; and (8) promotion and awareness.

CONCLUSIONS

Hospitals and health care systems can use this information to guide implementation of JH-AMP at their institutions.

Intensification of Implementation Strategies: Developing a Model of Foundational and Enhanced Implementation Approaches to Support National Adoption and Scale-up

Implementation strategies are activities to support integration of evidence-based programs (EBPs) into routine care. Comprised of 170+ facilities, the Veterans Affairs Healthcare System is conducive to evaluating feasibility and scalability of implementation strategies on a national level. In previous work evaluating implementation of three EBPs for older Veterans (hospital-based walking, caregiver skills training, group physical therapy), we found facilities varied in their need for implementation support, with some needing minimal guidance and others requiring intensive support. Committed to national scalability, our team developed an implementation intensification model consisting of foundational (low-touch) and enhanced (high-touch) implementation support. This Forum article describes our multilevel and multistep process to develop and evaluate implementation intensification. Steps included (a) review completed trial data; (b) conduct listening sessions; (c) review literature; (d) draft foundational and enhanced implementation support packages; (e) iteratively refine packages; and (7) devise an evaluation plan. Our model of implementation intensification may be relevant to other health care systems seeking strategies that can adapt to diverse delivery settings, optimize resources, help build capacity, and ultimately enhance implementation outcomes. As more health care systems focus on spread of EBPs into routine care, identifying scalable and effective implementation strategies will be critical.

Self-Organization of Interprofessional Staff to Improve Mobility of Hospitalized Patients with STRIDE: a Complexity Science-Informed Qualitative Study

BACKGROUND

Inpatient mobility programs can help older adults maintain function during hospitalization. Changing hospital practice can be complex and require engagement of various staff levels and disciplines; however, we know little about how interprofessional teams organize around implementing such interventions. Complexity science can inform approaches to understanding and improving multidisciplinary collaboration to implement clinical programs.

OBJECTIVE

To examine, through a complexity science lens, how clinical staff's understanding about roles in promoting inpatient mobility evolved during implementation of the STRIDE (assiSTed eaRly mobIlity for hospitalizeD older vEterans) hospital mobility program.

DESIGN

Qualitative study using semi-structured interviews.

PARTICIPANTS

Ninety-two clinical staff at eight Veterans Affairs hospitals.

INTERVENTIONS

STRIDE is a supervised walking program for hospitalized older adults designed to maintain patients' mobility and function.

APPROACH

We interviewed key staff involved in inpatient mobility efforts at each STRIDE site in pre- and post-implementation periods. Interviews elicited staff's perception of complexity-science aspects of inpatient mobility teams (e.g., roles over time, team composition). We analyzed data using complexity science-informed qualitative content analysis.

KEY RESULTS

We identified three key themes related to patterns of self-organization: (1) individuals outside of the "core" STRIDE team voluntarily assumed roles as STRIDE advocates, (2) leader-champions adapted their engagement level to match local implementation team needs during implementation, and (3) continued leadership support and physical therapy involvement were key factors for sustainment.

CONCLUSIONS

Staff self-organized around implementation of a new clinical program in ways that were responsive to changing program and contextual needs. These findings demonstrate the importance of effective self-organization for clinical program implementation. Researchers and practitioners implementing clinical programs should allow for, and encourage, flexibility in staff roles in planning for implementation of a new clinical program, encourage the development of advocates, and engage leaders in program planning and sustainment efforts.

Adapting to CONNECT: modifying a nursing home-based team-building intervention to improve hospital care team interactions, functioning, and implementation readiness

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.

The batched stepped wedge design: A design robust to delays in cluster recruitment

Stepped wedge designs are an increasingly popular variant of longitudinal cluster randomized trial designs, and roll out interventions across clusters in a randomized, but step-wise fashion. In the standard stepped wedge design, assumptions regarding the effect of time on outcomes may require that all clusters start and end trial participation at the same time. This would require ethics approvals and data collection procedures to be in place in all clusters before a stepped wedge trial can start in any cluster. Hence, although stepped wedge designs are useful for testing the impacts of many cluster-based interventions on outcomes, there can be lengthy delays before a trial can commence. In this article, we introduce "batched" stepped wedge designs. Batched stepped wedge designs allow clusters to commence the study in batches, instead of all at once, allowing for staggered cluster recruitment. Like the stepped wedge, the batched stepped wedge rolls out the intervention to all clusters in a randomized and step-wise fashion: a series of self-contained stepped wedge designs. Provided that separate period effects are included for each batch, software for standard stepped wedge sample size calculations can be used. With this time parameterization, in many situations including when linear models are assumed, sample size calculations reduce to the setting of a single stepped wedge design with multiple clusters per sequence. In these situations, sample size calculations will not depend on the delays between the commencement of batches. Hence, the power of batched stepped wedge designs is robust to unexpected delays between batches.

Considerations Before Selecting a Stepped-Wedge Cluster Randomized Trial Design for a Practice Improvement Study

PURPOSE

Despite the growing popularity of stepped-wedge cluster randomized trials (SW-CRTs) for practice-based research, the design's advantages and challenges are not well documented. The objective of this study was to identify the advantages and challenges of the SW-CRT design for large-scale intervention implementations in primary care settings.

METHODS

The EvidenceNOW: Advancing Heart Health initiative, funded by the Agency for Healthcare Research and Quality, included a large collection of SW-CRTs. We conducted qualitative interviews with 17 key informants from EvidenceNOW grantees to identify the advantages and challenges of using SW-CRT design.

RESULTS

All interviewees reported that SW-CRT can be an effective study design for large-scale intervention implementations. Advantages included (1) incentivized recruitment, (2) staggered resource allocation, and (3) statistical power. Challenges included (1) time-sensitive recruitment, (2) retention, (3) randomization requirements and practice preferences, (4) achieving treatment schedule fidelity, (5) intensive data collection, (6) the Hawthorne effect, and (7) temporal trends.

CONCLUSIONS

The challenges experienced by EvidenceNOW grantees suggest that certain favorable real-world conditions constitute a context that increases the odds of a successful SW-CRT. An existing infrastructure can support the recruitment of many practices. Strong retention plans are needed to continue to engage sites waiting to start the intervention. Finally, study outcomes should be ones already captured in routine practice; otherwise, funders and investigators should assess the feasibility and cost of data collection.VISUAL ABSTRACT.

Identifying family and unpaid caregivers in the electronic health record: A descriptive analysis (Preprint)

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

Walking All over COVID-19: The Rapid Development of STRIDE in Your Room, an Innovative Approach to Enhance a Hospital-Based Walking Program during the Pandemic

Hospitalization is common among older adults. Prolonged time in bed during hospitalization can lead to deconditioning and functional impairments. Our team is currently working with Department of Veterans Affairs (VA) medical centers across the United States to implement STRIDE (assiSTed eaRly mobIlity for hospitalizeD older vEterans), a hospital-based walking program designed to mitigate the risks of immobility during hospitalization. However, the COVID-19 pandemic made in-person, or face-to-face, walking challenging due to social distancing recommendations and infection control concerns. In response, our team applied principles of implementation science, including stakeholder engagement, prototype development and refinement, and rapid dissemination and feedback, to create STRIDE in Your Room (SiYR). Consisting of self-guided exercises, light exercise equipment (e.g., TheraBands, stress ball, foam blocks, pedometer), the SiYR program provided safe alternative activities when face-to-face walking was not available during the pandemic. We describe the methods used in developing the SiYR program; present feedback from participating sites; and share initial implementation experiences, lessons learned, and future directions.