Healthcare utilization and cost trajectories post-stroke: role of caregiver and stroke factors.
dc.contributor.author | Tyagi, Shilpa | |
dc.contributor.author | Koh, Gerald Choon-Huat | |
dc.contributor.author | Nan, Luo | |
dc.contributor.author | Tan, Kelvin Bryan | |
dc.contributor.author | Hoenig, Helen | |
dc.contributor.author | Matchar, David B | |
dc.contributor.author | Yoong, Joanne | |
dc.contributor.author | Finkelstein, Eric A | |
dc.contributor.author | Lee, Kim En | |
dc.contributor.author | Venketasubramanian, N | |
dc.contributor.author | Menon, Edward | |
dc.contributor.author | Chan, Kin Ming | |
dc.contributor.author | De Silva, Deidre Anne | |
dc.contributor.author | Yap, Philip | |
dc.contributor.author | Tan, Boon Yeow | |
dc.contributor.author | Chew, Effie | |
dc.contributor.author | Young, Sherry H | |
dc.contributor.author | Ng, Yee Sien | |
dc.contributor.author | Tu, Tian Ming | |
dc.contributor.author | Ang, Yan Hoon | |
dc.contributor.author | Kong, Keng Hee | |
dc.contributor.author | Singh, Rajinder | |
dc.contributor.author | Merchant, Reshma A | |
dc.contributor.author | Chang, Hui Meng | |
dc.contributor.author | Yeo, Tseng Tsai | |
dc.contributor.author | Ning, Chou | |
dc.contributor.author | Cheong, Angela | |
dc.contributor.author | Ng, Yu Li | |
dc.contributor.author | Tan, Chuen Seng | |
dc.date.accessioned | 2021-05-05T06:43:03Z | |
dc.date.available | 2021-05-05T06:43:03Z | |
dc.date.issued | 2018-11-22 | |
dc.date.updated | 2021-05-05T06:43:01Z | |
dc.description.abstract | BackgroundIt 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.MethodsPatient 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.ResultsFive 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.ConclusionHighlighting 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. | |
dc.identifier | 10.1186/s12913-018-3696-3 | |
dc.identifier.issn | 1472-6963 | |
dc.identifier.issn | 1472-6963 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.ispartof | BMC health services research | |
dc.relation.isversionof | 10.1186/s12913-018-3696-3 | |
dc.subject | Humans | |
dc.subject | Hospitalization | |
dc.subject | Subacute Care | |
dc.subject | Prospective Studies | |
dc.subject | Spouses | |
dc.subject | Family Practice | |
dc.subject | Databases, Factual | |
dc.subject | Adult | |
dc.subject | Aged | |
dc.subject | Middle Aged | |
dc.subject | Caregivers | |
dc.subject | Disabled Persons | |
dc.subject | Ambulatory Care Facilities | |
dc.subject | Health Expenditures | |
dc.subject | Primary Health Care | |
dc.subject | Patient Acceptance of Health Care | |
dc.subject | Female | |
dc.subject | Male | |
dc.subject | Stroke | |
dc.subject | Facilities and Services Utilization | |
dc.title | Healthcare utilization and cost trajectories post-stroke: role of caregiver and stroke factors. | |
dc.type | Journal article | |
duke.contributor.orcid | Hoenig, Helen|0000-0002-6682-2627 | |
duke.contributor.orcid | Matchar, David B|0000-0003-3020-2108 | |
pubs.begin-page | 881 | |
pubs.issue | 1 | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Duke Global Health Institute | |
pubs.organisational-group | Duke | |
pubs.organisational-group | University Institutes and Centers | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Duke Clinical Research Institute | |
pubs.organisational-group | Pathology | |
pubs.organisational-group | Medicine, General Internal Medicine | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Center for the Study of Aging and Human Development | |
pubs.organisational-group | Medicine, Geriatrics | |
pubs.publication-status | Published | |
pubs.volume | 18 |
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