Browsing by Author "Tan, Chuen Seng"
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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 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 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 The Association Between Psychological Resilience and Physical Function Among Older Adults With Hip Fracture Surgery.(Journal of the American Medical Directors Association, 2020-02) Lim, Ka Keat; Matchar, David B; Tan, Chuen Seng; Yeo, William; Østbye, Truls; Howe, Tet Sen; Koh, Joyce SBObjectives
To examine the associations of prefracture psychological resilience and prefracture general mental health with physical function among older adults with hip fracture surgery.Design
Single-center observational study.Intervention
None.Setting and participants
Patients aged ≥50 years who underwent first hip fracture surgery between January 2017 and December 2017 (N = 152).Methods
We used data collected prospectively from the hospital's hip fracture registry. We performed generalized estimating equations to examine the associations of prefracture psychological resilience (10-item Connor-Davidson Resilience Scale) and prefracture general mental health (Short Form-36 mental health subscale) with physical function (Short Form-36 physical functioning subscale) at 4 time points-prefracture (based on recall), and 1.5, 3, and 6 months after surgery.Results
Prefracture psychological resilience had an association with physical function; a 1-unit increase in psychological resilience score was associated with 1.15 units [95% confidence interval (CI) 0.71, 1.59] higher physical function score across 4 time points. In contrast, the association between general mental health and physical function varied over time; a 1-unit increase in general mental health score was associated with 0.42 units (95% CI 0.18, 0.66) higher physical function score at prefracture, 0.02 units (95% CI -0.18, 0.22) lower at 1.5 months, 0.23 units (95% CI -0.03, 0.49) higher at 3 months, and 0.39 units (95% CI 0.09, 0.68) higher at 6 months after surgery.Conclusions and implications
Psychological resilience is associated with physical function among older adults with hip fracture surgery, independent from general mental health. Our findings suggest the potential for interventions targeting psychological resilience for these patients and call for more studies on psychological factors affecting physical function recovery after hip fracture surgery.Item Open Access The Role of Prefracture Health Status in Physical and Mental Function After Hip Fracture Surgery.(Journal of the American Medical Directors Association, 2018-11) Lim, Ka Keat; Yeo, William; Koh, Joyce SB; Tan, Chuen Seng; Chong, Hwei Chi; Zhang, Karen; Østbye, Truls; Howe, Tet Sen; Matchar, David BruceObjectives
To examine the associations of 3 measures of prefracture health status (physical function, mental function, and comorbidity count) with trajectories of physical and mental function at 1.5, 3, 6, and 12 months after hip fracture surgery.Design
Single-center observational study.Setting
Singapore General Hospital (an acute hospital).Participants
Patients aged ≥60 years who underwent first hip fracture surgery between June 2011 and July 2016 (N = 928).Intervention
None.Measurements
We used data collected prospectively from the hospital's hip fracture registry. We used the Short Form-36 (SF-36) Physical Component Summary (PCS) and Mental Component Summary (MCS) as indicators of physical and mental function, respectively, collected at admission and at 1.5, 3, 6, and 12 months after hip fracture surgery. Comorbidity count at admission was the sum from a list of 10 common diseases associated with poorer physical function.Results
Prefracture physical function and prefracture mental function demonstrated time-varying associations (interaction P < .001 and P = .001, respectively) with postfracture physical function; the associations were small initially but increased in strength up to 6 months and stabilized thereafter. In contrast, the strength of the association between comorbidity count and postfracture physical function were time-invariant (-0.52, P = .027). The strength of the associations between all 3 measures of prefracture health status and postfracture mental function were also constant over time (0.09, P = .004, for physical function; 0.38, P < .001, for mental function; -0.70, P = .034, for comorbidity count).Conclusions/implications
The time-varying associations between prefracture health status and postfracture physical function suggest that even for patients with good prefracture health status, initial recovery may be slow. Our findings can be useful to clinicians and therapists in their prognostic evaluations and in management of patients' expectation for recovery.