Browsing by Author "Hoenig, Helen"
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Item Open Access Can acute clinical outcomes predict health-related quality of life after stroke: a one-year prospective study of stroke survivors.(Health and quality of life outcomes, 2018-11-21) Yeoh, Yen Shing; Koh, Gerald Choon-Huat; Tan, Chuen Seng; Lee, Kim En; Tu, Tian Ming; Singh, Rajinder; Chang, Hui Meng; De Silva, Deidre A; Ng, Yee Sien; Ang, Yan Hoon; Yap, Philip; Chew, Effie; Merchant, Reshma Aziz; Yeo, Tseng Tsai; Chou, Ning; Venketasubramanian, N; Young, Sherry H; Hoenig, Helen; Matchar, David Bruce; Luo, NanBackground
Health-related quality of life (HRQoL) is a key metric to understand the impact of stroke from patients' perspective. Yet HRQoL is not readily measured in clinical practice. This study aims to investigate the extent to which clinical outcomes during admission predict HRQoL at 3 months and 1 year post-stroke.Methods
Stroke patients admitted to five tertiary hospitals in Singapore were assessed with Shah-modified Barthel Index (Shah-mBI), National Institute of Health Stroke Scale (NIHSS), Modified Rankin Scale (mRS), Mini-Mental State Examination (MMSE), and Frontal Assessment Battery (FAB) before discharge, and the EQ-5D questionnaire at 3 months and 12 months post-stroke. Association of clinical measures with the EQ index at both time points was examined using multiple linear regression models. Forward stepwise selection was applied and consistently significant clinical measures were analyzed for their association with individual dimensions of EQ-5D in multiple logistic regressions.Results
All five clinical measures at baseline were significant predictors of the EQ index at 3 months and 12 months, except that MMSE was not significantly associated with the EQ index at 12 months. NIHSS (3-month standardized β = - 0.111; 12-month standardized β = - 0.109) and mRS (3-month standardized β = - 0.122; 12-month standardized β = - 0.080) were shown to have a larger effect size than other measures. The contribution of NIHSS and mRS as significant predictors of HRQoL was mostly explained by their association with the mobility, self-care, and usual activities dimensions of EQ-5D.Conclusions
HRQoL at 3 months and 12 months post-stroke can be predicted by clinical outcomes in the acute phase. NIHSS and mRS are better predictors than BI, MMSE, and FAB.Item Open Access Can caregivers report their care recipients' post-stroke hospitalizations and outpatient visits accurately? Findings of an Asian prospective stroke cohort.(BMC health services research, 2018-10-25) Tyagi, Shilpa; Koh, Gerald Choon-Huat; Luo, Nan; Tan, Kelvin Bryan; Hoenig, Helen; Matchar, David B; Yoong, Joanne; Finkelstein, Eric A; Lee, Kim En; Venketasubramanian, N; Menon, Edward; Chan, Kin Ming; De Silva, Deidre Anne; Yap, Philip; Tan, Boon Yeow; Chew, Effie; Young, Sherry H; Ng, Yee Sien; Tu, Tian Ming; Ang, Yan Hoon; Kong, Keng He; Singh, Rajinder; Merchant, Reshma A; Chang, Hui Meng; Yeo, Tseng Tsai; Ning, Chou; Cheong, Angela; Ng, Yu Li; Tan, Chuen SengBackground
Health services research aimed at understanding service use and improving resource allocation often relies on collecting subjectively reported or proxy-reported healthcare service utilization (HSU) data. It is important to know the discrepancies in such self or proxy reports, as they have significant financial and policy implications. In high-dependency populations, such as stroke survivors, with varying levels of cognitive impairment and dysphasia, caregivers are often potential sources of stroke survivors' HSU information. Most of the work conducted on agreement analysis to date has focused on validating different sources of self-reported data, with few studies exploring the validity of caregiver-reported data. Addressing this gap, our study aimed to quantify the agreement across the caregiver-reported and national claims-based HSU of stroke patients.Methods
A prospective study comprising multi-ethnic stroke patient and caregiver dyads (N = 485) in Singapore was the basis of the current analysis, which used linked national claims records. Caregiver-reported health services data were collected via face-to-face and telephone interviews, and similar health services data were extracted from the national claims records. The main outcome variable was the modified intraclass correlation coefficient (ICC), which provided the level of agreement across both data sources. We further identified the amount of over- or under-reporting by caregivers across different service types.Results
We observed variations in agreement for different health services, with agreement across caregiver reports and national claims records being the highest for outpatient visits (specialist and primary care), followed by hospitalizations and emergency department visits. Interestingly, caregivers over-reported hospitalizations by approximately 49% and under-reported specialist and primary care visits by approximately 20 to 30%.Conclusions
The accuracy of the caregiver-reported HSU of stroke patients varies across different service types. Relatively more objective data sources, such as national claims records, should be considered as a first choice for quantifying health care usage before considering caregiver-reported usage. Caregiver-reported outpatient service use was relatively more accurate than inpatient service use over shorter recall periods. Therefore, in situations where objective data sources are limited, caregiver-reported outpatient information can be considered for low volumes of healthcare consumption, using an appropriate correction to account for potential under-reporting.Item Open Access Dyadic approach to post-stroke hospitalizations: role of caregiver and patient characteristics.(BMC neurology, 2019-11-04) Tyagi, Shilpa; Koh, Gerald CH; Luo, Nan; Tan, Kelvin B; Hoenig, Helen; Matchar, David B; Yoong, Joanne; Chan, Angelique; Lee, Kim En; Venketasubramanian, N; Menon, Edward; Chan, Kin Ming; De Silva, Deidre Anne; Yap, Philip; Tan, Boon Yeow; Chew, Effie; Young, Sherry H; Ng, Yee Sien; Tu, Tian Ming; Ang, Yan Hoon; Kong, Keng He; Singh, Rajinder; Merchant, Reshma A; Chang, Hui Meng; Yeo, Tseng Tsai; Ning, Chou; Cheong, Angela; Ng, Yu Li; Tan, Chuen SengAIM:To study the association of caregiver factors and stroke patient factors with rehospitalizations over the first 3 months and subsequent 3-12 months post-stroke in Singapore. METHODS:Patients with stroke and their caregivers were recruited in the Singapore Stroke Study, a prospective yearlong cohort. While caregiver and patient variables were taken from this study, hospitalization data were extracted from the national claims database. We used Poisson modelling to perform bivariate and multivariable analysis with counts of hospitalization as the outcome. RESULTS:Two hundred and fifty-six patient with stroke and caregiver dyads (N = 512) were analysed, with patients having spouse (60%), child (29%), sibling (4%) and other (7%) as their caregivers. Among all participants, 89% of index strokes were ischemic, 57% were mild in severity and more than half (59%) of the patients had moderate or severe disability post-stroke as measured on the Modified Rankin Scale. Having social support in the form of a foreign domestic worker for general help of caregiver reduced the hospitalization rate over 3 months post-stroke by 66% (IRR: 0.342; 95% CI: 0.180, 0.651). Compared to having a spousal caregiver, those with a child caregiver had an almost three times greater rate of hospitalizations over 3-12 months post-stroke (IRR: 2.896; 95% CI: 1.399, 5.992). Higher reported caregiving burden at the 3-month point was associated with the higher subsequent rate of hospitalization. CONCLUSION:Recommendations include the adoption of a dyadic or holistic approach to post-stroke care provision by healthcare practitioners, giving due importance to both patients with stroke and their caregivers, integrating caregivers in the healthcare system to extend the care continuum to include informal care in the community and provision of timely support for caregivers.Item Open Access Dyadic approach to supervised community rehabilitation participation in an Asian setting post-stroke: exploring the role of caregiver and patient characteristics in a prospective cohort study.(BMJ open, 2020-04-23) Tyagi, Shilpa; Koh, Gerald Choon-Huat; Luo, Nan; Tan, Kelvin Bryan; Hoenig, Helen; Matchar, David Bruce; Yoong, Joanne; Chan, Angelique; Lee, Kim En; Venketasubramanian, Narayanaswamy; Menon, Edward; Chan, Kin Ming; De Silva, Deidre Anne; Yap, Philip; Tan, Boon Yeow; Chew, Effie; Young, Sherry H; Ng, Yee Sien; Tu, Tian Ming; Ang, Yan Hoon; Kong, Keng He; Singh, Rajinder; Merchant, Reshma A; Chang, Hui Meng; Yeo, Tseng Tsai; Ning, Chou; Cheong, Angela; Tan, Chuen SengObjective
To study the association of caregiver factors and stroke survivor factors with supervised community rehabilitation (SCR) participation over the first 3 months and subsequent 3 to 12 months post-stroke in an Asian setting.Design
Prospective cohort study.Setting
Community setting.Participants
We recruited stroke survivors and their caregivers into our yearlong cohort. Caregiver and stroke survivor variables were collected over 3-monthly intervals. We performed logistic regression with the outcome variable being SCR participation post-stroke.Outcome measures
SCR participation over the first 3 months and subsequent 3 to 12 months post-stroke RESULTS: 251 stroke survivor-caregiver dyads were available for the current analysis. The mean age of caregivers was 50.1 years, with the majority being female, married and co-residing with the stroke survivor. There were 61%, 28%, 4% and 7% of spousal, adult-child, sibling and other caregivers. The odds of SCR participation decreased by about 15% for every unit increase in caregiver-reported stroke survivor's disruptive behaviour score (OR: 0.845; 95% CI: 0.769 to 0.929). For every 1-unit increase in the caregiver's positive management strategy score, the odds of using SCR service increased by about 4% (OR: 1.039; 95% CI: 1.011 to 1.068).Conclusion
We established that SCR participation is jointly determined by both caregiver and stroke survivor factors, with factors varying over the early and late post-stroke period. Our results support the adoption of a dyadic or more inclusive approach for studying the utilisation of community rehabilitation services, giving due consideration to both the stroke survivors and their caregivers. Adopting a stroke survivor-caregiver dyadic approach in practice settings should include promotion of positive care management strategies, comprehensive caregiving training including both physical and behavioural dimensions, active engagement of caregivers in rehabilitation journey and conducting regular caregiver needs assessments in the community.Item Open Access Group physical therapy for knee osteoarthritis: protocol for a hybrid type III effectiveness-implementation trial.(Implementation science communications, 2023-10) Webb, Sara; Drake, Connor; Coffman, Cynthia J; Sullivan, Caitlin; Sperber, Nina; Tucker, Matthew; Zullig, Leah L; Hughes, Jaime M; Kaufman, Brystana G; Pura, John A; Anderson, Livia; Hastings, Susan N; Van Houtven, Courtney H; Abbate, Lauren M; Hoenig, Helen; Ballengee, Lindsay A; Wang, Virginia; Allen, Kelli DBackground
Knee osteoarthritis (OA) is a leading cause of chronic pain and disability and one of the most common conditions treated in outpatient physical therapy (PT). Because of the high and growing prevalence of knee OA, there is a need for efficient approaches for delivering exercise-based PT to patients with knee OA. A prior randomized controlled trial (RCT) showed that a 6-session Group Physical Therapy Program for Knee OA (Group PT) yields equivalent or greater improvements in pain and functional outcomes compared with traditional individual PT, while requiring fewer clinician hours per patient to deliver. This manuscript describes the protocol for a hybrid type III effectiveness-implementation trial comparing two implementation packages to support delivery of Group PT.Methods
In this 12-month embedded trial, a minimum of 16 Veterans Affairs Medical Centers (VAMCs) will be randomized to receive one of two implementation support packages for their Group PT programs: a standard, low-touch support based on Replicating Effective Programs (REP) versus enhanced REP (enREP), which adds tailored, high-touch support if sites do not meet Group PT adoption and sustainment benchmarks at 6 and 9 months following launch. Implementation outcomes, including penetration (primary), adoption, and fidelity, will be assessed at 6 and 12 months (primary assessment time point). Additional analyses will include patient-level effectiveness outcomes (pain, function, satisfaction) and staffing and labor costs. A robust qualitative evaluation of site implementation context and experience, as well as site-led adaptations to the Group PT program, will be conducted.Discussion
To our knowledge, this study is the first to evaluate the impact of tailored, high-touch implementation support on implementation outcomes when compared to standardized, low-touch support for delivering a PT-based intervention. The Group PT program has strong potential to become a standard offering for PT, improving function and pain-related outcomes for patients with knee OA. Results will provide information regarding the effectiveness and value of this implementation approach and a deeper understanding of how healthcare systems can support wide-scale adoption of Group PT.Trial registration
This study was registered on March 7, 2022 at ClinicalTrials.gov (identifier NCT05282927 ).Item Open Access Group physical therapy for veterans with knee osteoarthritis: study design and methodology.(Contemporary clinical trials, 2013-03) Allen, Kelli D; Bongiorni, Dennis; Walker, Tessa A; Bartle, John; Bosworth, Hayden B; Coffman, Cynthia J; Datta, Santanu K; Edelman, David; Hall, Katherine S; Hansen, Gloria; Jennings, Caroline; Lindquist, Jennifer H; Oddone, Eugene Z; Senick, Margaret J; Sizemore, John C; St John, Jamie; Hoenig, HelenPhysical therapy (PT) is a key component of treatment for knee osteoarthritis (OA) and can decrease pain and improve function. Given the expected rise in prevalence of knee OA and the associated demand for treatment, there is a need for models of care that cost-effectively extend PT services for patients with this condition. This manuscript describes a randomized clinical trial of a group-based physical therapy program that can potentially extend services to more patients with knee OA, providing a greater number of sessions per patient, at lower staffing costs compared to traditional individual PT. Participants with symptomatic knee OA (n = 376) are randomized to either a 12-week group-based PT program (six 1 h sessions, eight patients per group, led by a physical therapist and physical therapist assistant) or usual PT care (two individual visits with a physical therapist). Participants in both PT arms receive instruction in an exercise program, information on joint care and protection, and individual consultations with a physical therapist to address specific functional and therapeutic needs. The primary outcome is the Western Ontario and McMasters Universities Osteoarthritis Index (self-reported pain, stiffness, and function), and the secondary outcome is the Short Physical Performance Test Protocol (objective physical function). Outcomes are assessed at baseline and 12-week follow-up, and the primary outcome is also assessed via telephone at 24-week follow-up to examine sustainability of effects. Linear mixed models will be used to compare outcomes for the two study arms. An economic cost analysis of the PT interventions will also be conducted.Item Open Access Group Versus Individual Physical Therapy for Veterans With Knee Osteoarthritis: Randomized Clinical Trial.(Physical therapy, 2016-05) Allen, Kelli D; Bongiorni, Dennis; Bosworth, Hayden B; Coffman, Cynthia J; Datta, Santanu K; Edelman, David; Hall, Katherine S; Lindquist, Jennifer H; Oddone, Eugene Z; Hoenig, HelenBackground
Efficient approaches are needed for delivering nonpharmacological interventions for management of knee osteoarthritis (OA).Objective
This trial compared group-based versus individual physical therapy interventions for management of knee OA.Design and methods
Three hundred twenty patients with knee OA at the VA Medical Center in Durham, North Carolina, (mean age=60 years, 88% male, 58% nonwhite) were randomly assigned to receive either the group intervention (group physical therapy; six 1-hour sessions, typically 8 participants per group) or the individual intervention (individual physical therapy; two 1-hour sessions). Both programs included instruction in home exercise, joint protection techniques, and individual physical therapist evaluation. The primary outcome measure was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC; range=0-96, higher scores indicate worse symptoms), measured at baseline, 12 weeks, and 24 weeks. The secondary outcome measure was the Short Physical Performance Battery (SPPB; range=0-12, higher scores indicate better performance), measured at baseline and 12 weeks. Linear mixed models assessed the difference in WOMAC scores between arms.Results
At 12 weeks, WOMAC scores were 2.7 points lower in the group physical therapy arm compared with the individual physical therapy arm (95% confidence interval [CI]=-5.9, 0.5; P=.10), indicating no between-group difference. At 24 weeks, WOMAC scores were 1.3 points lower in the group physical therapy arm compared with the individual physical therapy arm (95% CI=-4.6, 2.0; P=.44), indicating no significant between-group difference. At 12 weeks, SPPB scores were 0.1 points lower in the group physical therapy arm compared with the individual physical therapy arm (95% CI=-0.5, 0.2; P=.53), indicating no difference between groups.Limitations
This study was conducted in one VA medical center. Outcome assessors were blinded, but participants and physical therapists were not blinded.Conclusions
Group physical therapy was not more effective than individual physical therapy for primary and secondary study outcomes. Either group physical therapy or individual physical therapy may be a reasonable delivery model for health care systems to consider.Item Open Access Health-related quality of life loss associated with first-time stroke.(PloS one, 2019-01-28) Yeoh, Yen Shing; Koh, Gerald Choon-Huat; Tan, Chuen Seng; Tu, Tian Ming; Singh, Rajinder; Chang, Hui Meng; De Silva, Deidre A; Ng, Yee Sien; Ang, Yan Hoon; Yap, Philip; Chew, Effie; Merchant, Reshma A; Yeo, Tseng Tsai; Chou, Ning; Venketasubramanian, N; Lee, Kim En; Young, Sherry H; Hoenig, Helen; Matchar, David Bruce; Luo, NanOBJECTIVES:This study aimed to quantify health-related quality of life (HRQoL) loss associated with first episode of stroke by comparing patient-reported HRQoL before and after stroke onset. The impact of stroke in local population was also evaluated by comparing the pre- and post-stroke HRQoL with that of the general population. METHODS:The HRQoL of stroke survivors was assessed with the EQ-5D-3L index score at recruitment, for recalled pre-stroke HRQoL, and at 3 and 12 month post-stroke. Change in HRQoL from pre-stroke to 3 and 12 month was self-reported by 285 and 238 patients, respectively. Mean EQ index score at each time point (baseline: 464 patients; 3 month post-stroke: 306 patients; 12 month post-stroke: 258 patients) was compared with published population norms for EQ-5D-3L. RESULTS:There was a significant decrease in HRQoL at 3 (0.25) and 12 month (0.09) post-stroke when compared to the retrospectively recalled patients' mean pre-stroke HRQoL level (0.87). The reduction at 3 month was associated with the reduction in all EQ-5D-3L health dimensions; reductions remaining at 12 month were limited to dimensions of mobility, self-care, usual activities, and anxiety/depression. Stroke patients had a lower mean EQ index than the general population by 0.07 points pre-stroke (0.87 vs. 0.94), 0.33 points at 3 month (0.61 vs. 0.94) and 0.18 points at 12 month (0.76 vs. 0.94) post-stroke. CONCLUSIONS:Stroke has a substantial impact on HRQoL in Singapore, especially in the first three months post-stroke. Compared to the general population, stroke survivors have lower HRQoL even before stroke onset. This pre-stroke deficit in HRQoL should be taken into account when quantifying health burden of stroke or setting goals for stroke rehabilitation.Item Open Access Healthcare utilization and cost trajectories post-stroke: role of caregiver and stroke factors.(BMC health services research, 2018-11-22) Tyagi, Shilpa; Koh, Gerald Choon-Huat; Nan, Luo; Tan, Kelvin Bryan; Hoenig, Helen; Matchar, David B; Yoong, Joanne; Finkelstein, Eric A; Lee, Kim En; Venketasubramanian, N; Menon, Edward; Chan, Kin Ming; De Silva, Deidre Anne; Yap, Philip; Tan, Boon Yeow; Chew, Effie; Young, Sherry H; Ng, Yee Sien; Tu, Tian Ming; Ang, Yan Hoon; Kong, Keng Hee; Singh, Rajinder; Merchant, Reshma A; Chang, Hui Meng; Yeo, Tseng Tsai; Ning, Chou; Cheong, Angela; Ng, Yu Li; Tan, Chuen SengBackground
It is essential to study post-stroke healthcare utilization trajectories from a stroke patient caregiver dyadic perspective to improve healthcare delivery, practices and eventually improve long-term outcomes for stroke patients. However, literature addressing this area is currently limited. Addressing this gap, our study described the trajectory of healthcare service utilization by stroke patients and associated costs over 1-year post-stroke and examined the association with caregiver identity and clinical stroke factors.Methods
Patient and caregiver variables were obtained from a prospective cohort, while healthcare data was obtained from the national claims database. Generalized estimating equation approach was used to get the population average estimates of healthcare utilization and cost trend across 4 quarters post-stroke.Results
Five hundred ninety-two stroke patient and caregiver dyads were available for current analysis. The highest utilization occurred in the first quarter post-stroke across all service types and decreased with time. The incidence rate ratio (IRR) of hospitalization decreased by 51, 40, 11 and 1% for patients having spouse, sibling, child and others as caregivers respectively when compared with not having a caregiver (p = 0.017). Disability level modified the specialist outpatient clinic usage trajectory with increasing difference between mildly and severely disabled sub-groups across quarters. Stroke type and severity modified the primary care cost trajectory with expected cost estimates differing across second to fourth quarters for moderately-severe ischemic (IRR: 1.67, 1.74, 1.64; p = 0.003), moderately-severe non-ischemic (IRR: 1.61, 3.15, 2.44; p = 0.001) and severe non-ischemic (IRR: 2.18, 4.92, 4.77; p = 0.032) subgroups respectively, compared to first quarter.Conclusion
Highlighting the quarterly variations, we reported distinct utilization trajectories across subgroups based on clinical characteristics. Caregiver availability reducing hospitalization supports revisiting caregiver's role as potential hidden workforce, incentivizing their efforts by designing socially inclusive bundled payment models for post-acute stroke care and adopting family-centered clinical care practices.Item Open Access Implementation of a group physical therapy program for Veterans with knee osteoarthritis.(BMC musculoskeletal disorders, 2020-02) Allen, Kelli D; Sheets, Brandon; Bongiorni, Dennis; Choate, Ashley; Coffman, Cynthia J; Hoenig, Helen; Huffman, Kim; Mahanna, Elizabeth P; Oddone, Eugene Z; Van Houtven, Courtney; Wang, Virginia; Woolson, Sandra; Hastings, Susan NBACKGROUND:A previous randomized clinical trial found that a Group Physical Therapy (PT) program for knee osteoarthritis yielded similar improvements in pain and function compared with traditional individual PT. Based on these findings the Group PT program was implemented in a Department of Veterans Affairs Health Care System. The objective of this study was to evaluate implementation metrics and changes in patient-level measures following implementation of the Group PT program. METHODS:This was a one-year prospective observational study. The Group PT program involved 6 weekly sessions. Implementation metrics included numbers of referrals and completed sessions. Patient-level measures were collected at the first and last PT sessions and included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC; self-report of pain, stiffness and function (range 0-96)) and a 30-s chair rise test. RESULTS:During the evaluation period, 152 patients were referred, 80 had an initial session scheduled, 71 completed at least one session and 49 completed at least 5 sessions. The mean number of completed appointments per patient was 4.1. Among patients completing baseline and follow-up measures, WOMAC scores (n = 33) improved from 56.8 (SD = 15.8) to 46.9 (SD = 14.0); number of chair rises (n = 38) completed in 30 s increased from 10.4 (SD = 5.1) to 11.9 (SD = 5.0). CONCLUSIONS:Patients completing the Group PT program in this implementation phase showed clinically relevant improvements comparable to those observed in the previous clinical trial that compared group and individual PT for knee osteoarthritis. These results are important because Group PT can improve efficiency and access compared with individual PT. However, there were some limitations with respect to attendance and completion rates, and program adaptations may be needed to optimize these implementation metrics. Larger, longer-term studies are required to more fully evaluate the effectiveness of this program.Item Open Access Incorporating TechQuity in Virtual Care Within the Veterans Health Administration: Identifying Future Research and Operations Priorities.(Journal of general internal medicine, 2023-07) Walsh, Conor; Sullivan, Caitlin; Bosworth, Hayden B; Wilson, Sarah; Gierisch, Jennifer M; Goodwin, Kaitlyn B; Mccant, Felicia; Hoenig, Helen; Heyworth, Leonie; Zulman, Donna M; Turvey, Carolyn; Moy, Ernest; Lewinski, Allison ABackground
The Covid-19 pandemic dramatically changed healthcare delivery, driving rapid expansion of synchronous (i.e., real-time) audio-only and video telehealth, otherwise known as virtual care. Yet evidence describes significant inequities in virtual care utilization, with certain populations more dependent on audio-only virtual care than video-based care. Research is needed to inform virtual care policies and processes to counteract current inequities in access and health outcomes.Objective
Given the importance of incorporating equity into virtual care within the Veterans Health Administration (VHA), we convened a Think Tank to identify priorities for future research and virtual care operations focused on achieving equitable implementation of virtual care within the VHA.Methods
We used participatory activities to engage clinicians, researchers, and operational partners from across the VHA to develop priorities for equitable implementation of virtual care. We refined priorities through group discussion and force-ranked prioritization and outlined next steps for selected priorities.Key results
Think Tank participants included 43 individuals from the VHA who represented diverse geographical regions, offices, and backgrounds. Attendees self-identified their associations primarily as operations (n = 9), research (n = 28), or both (n = 6). We identified an initial list of 63 potential priorities for future research and virtual care operations. Following discussion, we narrowed the list to four priority areas: (1) measure inequities in virtual care, (2) address emerging inequities in virtual care, (3) deploy virtual care equitably to accommodate differently abled veterans, and (4) measure and address potential adverse consequences of expanded virtual care. We discuss related information, data, key partners, and outline potential next steps.Conclusions
This Think Tank of research and operational partners from across the VHA identified promising opportunities to incorporate equity into the design and implementation of virtual care. Although much work remains, the priorities identified represent important steps toward achieving this vital goal.Item Open Access Machine learning functional impairment classification with electronic health record data.(Journal of the American Geriatrics Society, 2023-09) Pavon, Juliessa M; Previll, Laura; Woo, Myung; Henao, Ricardo; Solomon, Mary; Rogers, Ursula; Olson, Andrew; Fischer, Jonathan; Leo, Christopher; Fillenbaum, Gerda; Hoenig, Helen; Casarett, DavidBackground
Poor functional status is a key marker of morbidity, yet is not routinely captured in clinical encounters. We developed and evaluated the accuracy of a machine learning algorithm that leveraged electronic health record (EHR) data to provide a scalable process for identification of functional impairment.Methods
We identified a cohort of patients with an electronically captured screening measure of functional status (Older Americans Resources and Services ADL/IADL) between 2018 and 2020 (N = 6484). Patients were classified using unsupervised learning K means and t-distributed Stochastic Neighbor Embedding into normal function (NF), mild to moderate functional impairment (MFI), and severe functional impairment (SFI) states. Using 11 EHR clinical variable domains (832 variable input features), we trained an Extreme Gradient Boosting supervised machine learning algorithm to distinguish functional status states, and measured prediction accuracies. Data were randomly split into training (80%) and test (20%) sets. The SHapley Additive Explanations (SHAP) feature importance analysis was used to list the EHR features in rank order of their contribution to the outcome.Results
Median age was 75.3 years, 62% female, 60% White. Patients were classified as 53% NF (n = 3453), 30% MFI (n = 1947), and 17% SFI (n = 1084). Summary of model performance for identifying functional status state (NF, MFI, SFI) was AUROC (area under the receiving operating characteristic curve) 0.92, 0.89, and 0.87, respectively. Age, falls, hospitalization, home health use, labs (e.g., albumin), comorbidities (e.g., dementia, heart failure, chronic kidney disease, chronic pain), and social determinants of health (e.g., alcohol use) were highly ranked features in predicting functional status states.Conclusion
A machine learning algorithm run on EHR clinical data has potential utility for differentiating functional status in the clinical setting. Through further validation and refinement, such algorithms can complement traditional screening methods and result in a population-based strategy for identifying patients with poor functional status who need additional health resources.Item Open Access Role of caregiver factors in outpatient medical follow-up post-stroke: observational study in Singapore.(BMC family practice, 2021-04-14) Tyagi, Shilpa; Koh, Gerald Choon-Huat; Luo, Nan; Tan, Kelvin Bryan; Hoenig, Helen; Matchar, David B; Yoong, Joanne; Chan, Angelique; Lee, Kim En; Venketasubramanian, N; Menon, Edward; Chan, Kin Ming; De Silva, Deidre Anne; Yap, Philip; Tan, Boon Yeow; Chew, Effie; Young, Sherry H; Ng, Yee Sien; Tu, Tian Ming; Ang, Yan Hoon; Kong, Keng He; Singh, Rajinder; Merchant, Reshma A; Chang, Hui Meng; Yeo, Tseng Tsai; Ning, Chou; Cheong, Angela; Ng, Yu Li; Tan, Chuen SengBackground
Outpatient medical follow-up post-stroke is not only crucial for secondary prevention but is also associated with a reduced risk of rehospitalization. However, being voluntary and non-urgent, it is potentially determined by both healthcare needs and the socio-demographic context of stroke survivor-caregiver dyads. Therefore, we aimed to examine the role of caregiver factors in outpatient medical follow-up (primary care (PC) and specialist outpatient care (SOC)) post-stroke.Method
Stroke survivors and caregivers from the Singapore Stroke Study, a prospective, yearlong, observational study, contributed to the study sample. Participants were interviewed 3-monthly for data collection. Counts of PC and SOC visits were extracted from the National Claims Database. Poisson modelling was used to explore the association of caregiver (and patient) factors with PC/SOC visits over 0-3 months (early) and 4-12 months (late) post-stroke.Results
For the current analysis, 256 stroke survivors and caregivers were included. While caregiver-reported memory problems of a stroke survivor (IRR: 0.954; 95% CI: 0.919, 0.990) and caregiver burden (IRR: 0.976; 95% CI: 0.959, 0.993) were significantly associated with lower early post-stroke PC visits, co-residing caregiver (IRR: 1.576; 95% CI: 1.040, 2.389) and negative care management strategies (IRR: 1.033; 95% CI: 1.005, 1.061) were significantly associated with higher late post-stroke SOC visits.Conclusion
We demonstrated that the association of caregiver factors with outpatient medical follow-up varied by the type of service (i.e., PC versus SOC) and temporally. Our results support family-centred care provision by family physicians viewing caregivers not only as facilitators of care in the community but also as active members of the care team and as clients requiring care and regular assessments.Item Open Access Stroke Rehabilitation Use and Caregiver Psychosocial Health Profiles in Singapore: A Latent Profile Transition Analysis.(Journal of the American Medical Directors Association, 2021-04) Chong, Wayne FW; Ng, Leong Hwee; Ho, Ringo M-H; Koh, Gerald CH; Hoenig, Helen; Matchar, David B; Yap, Philip; Venketasubramanian, Narayanaswamy; Tan, Kelvin B; Ning, Chou; Menon, Edward; Chang, Hui Meng; De Silva, Deidre A; Lee, Kim En; Tan, Boon Yeow; Young, Sherry HY; Ng, Yee Sien; Tu, Tian Ming; Ang, Yan Hoon; Yeo, Tseng Tsai; Merchant, Reshma A; Kong, Keng He; Singh, Rajinder; Ng, Yu Li; Cheong, AngelaObjectives
To identify and describe caregiver profiles based on their psychosocial health characteristics over a 12-month period and transitions among these profiles, to determine if stroke rehabilitation use at 12 months post-stroke differed by caregiver profile transition patterns, and to investigate if caregiver profiles at 3 months post-stroke moderate the association of stroke rehabilitation use at 3 months and 12 months post-stroke after accounting for covariates.Design
Latent profile transition analysis of caregiver psychosocial health with stroke rehabilitation use at 12 month post-stroke as outcome.Setting
and Participants: A total of 149 stroke patient-caregiver dyads from the Singapore Stroke Study.Methods
Cross-sectional latent profile analyses were conducted on caregiver psychosocial health indicators of burden, depression, health status, quality of relationship with patient, and social support. Changes in latent profile classification over 3 time points (baseline, 3 months, and 12 months post-stroke) were analyzed using latent transition analysis. A transition model with stroke rehabilitation use at 12 months post-stroke as the outcome was tested after accounting for covariates.Results
Two distinct caregiver psychosocial health latent profiles were found across time: nondistressed and distressed. Most caregivers were classified as nondistressed and remained nondistressed over time. Distressed caregivers at baseline were 76% likely to become nondistressed at 12 month post-stroke. Regardless of profile transition patterns, nondistressed caregivers at 12 months post-stroke tended to have cared for stroke rehabilitation nonusers at 12 months post-stroke. Patient depression explained profile classification at 3 months and 12 months post-stroke. After accounting for covariates, rehabilitation users at 3 months post-stroke tended to continue using rehabilitation at 12 months post-stroke only when they had nondistressed caregivers at 3 months post-stroke.Conclusions and implications
Whether caregiver adaptation explains the associations between the latent profile transition patterns and rehabilitation use at 12 months post-stroke should be examined. Early psychosocial health assessment and sustained support should be made available to stroke caregivers to enhance their well-being and subsequent patient rehabilitation participation.Item Open Access Supporting teams to optimize function and independence in Veterans: a multi-study program and mixed methods protocol.(Implementation science : IS, 2018-04) Wang, Virginia; Allen, Kelli; Van Houtven, Courtney H; Coffman, Cynthia; Sperber, Nina; Mahanna, Elizabeth P; Colón-Emeric, Cathleen; Hoenig, Helen; Jackson, George L; Damush, Teresa M; Price, Erika; Hastings, Susan NBACKGROUND:Successful implementation of new clinical programs depends on effectively establishing, reorganizing, or enhancing team structures and processes to coordinate the work of individuals who are interdependent in their tasks, manage relationships, and share responsibility for outcomes. However, a one-size-fits-all approach is rarely effective. In partnership with VA national clinical leaders and local clinical champions, the Optimizing Function and Independence VA Quality Enhancement Research Initiative program (Function QUERI) will evaluate efforts to implement team-based clinical programs for Veterans at risk for functional decline and disability. METHODS:Function QUERI will implement and evaluate three innovative, evidence-based clinical programs in VA medical centers: (1) a group physical therapy program for knee osteoarthritis (Group PT); (2) assisted early mobility for hospitalized older veterans (STRIDE), a supervised walking program for hospitalized older veterans; and (3) implementation of helping invested family members improve veteran experiences study (iHI-FIVES), a skills training program for caregivers of disabled Veterans. A common reason for clinical care gaps in these populations is poor communication and coordination among the many interdisciplinary providers involved in their care. To facilitate the implementation of the clinical programs, Function QUERI will evaluate the impact of complexity science-based implementation intervention to promote team readiness (CONNECT), an implementation intervention designed as a bundle of interaction-oriented activities to promote team function and readiness for change, on the implementation of clinical programs across multiple sites. The evaluation will use a mixed methods design. Group PT is a local, single-site quality improvement project where a modified CONNECT intervention will be tested to inform the remaining program implementation projects. For STRIDE and iHI-FIVES projects, we will randomize participating sites to implement the clinical program, with the CONNECT intervention or not, and will use a stepped-wedge cluster randomized trial design. DISCUSSION:Function QUERI will translate its findings across its projects to identify the contextual factors and components from CONNECT that improve team processes and function to optimize effective implementation for future rollout of VA clinical programs. Synthesizing findings within and across projects, we will specify dimensions of team characteristics and function that enhance capacity for clinical innovation and uptake of evidence-based programs. TRIAL REGISTRATION:NCT03300336 Registered September 28, 2017, NCT03474380 Registered March 15, 2018.