Browsing by Subject "Facilities and Services Utilization"
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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 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.