Evidence map›Paper›PMID 30359277›Full record

ArticleBMC health services research2018

Can caregivers report their care recipients' post-stroke hospitalizations and outpatient visits accurately? Findings of an Asian prospective stroke cohort.

Shilpa Tyagi, Gerald Choon-Huat Koh, Nan Luo, Kelvin Bryan Tan, Helen Hoenig, David B Matchar, Joanne Yoong, Eric A Finkelstein, Kim En Lee, N Venketasubramanian and 19 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors at 13 institutions in 4 countries.

Shilpa TyagiSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore.
Gerald Choon-Huat KohSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore. gerald_koh@nuhs.edu.sg.
Nan LuoSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore.
Kelvin Bryan TanPolicy Research & Economics Office, Ministry of Health, Singapore, Singapore.
Helen HoenigPhysical Medicine and Rehabilitation Service, Durham VA Medical Centre, Durham, USA.
David B MatcharProgram in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore, Singapore.
Joanne YoongSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore.
Eric A FinkelsteinProgram in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore, Singapore.
Kim En LeeLee Kim En Neurology Pte Ltd, Singapore, Singapore.
N VenketasubramanianRaffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore.
Edward MenonSt. Andrew's Community Hospital, Singapore, Singapore.
Kin Ming ChanMount Alvernia Hospital, Singapore, Singapore.
Deidre Anne De SilvaNational Neuroscience Institute, Singapore General Hospital campus, Singapore, Singapore.
Philip YapGeriatric Medicine, Khoo Teck Puat Hospital, Singapore, Singapore.
Boon Yeow TanSt. Luke's Hospital, Singapore, Singapore.
Effie ChewDepartment of Rehabilitation Medicine, National University Hospital, Singapore, Singapore.
Sherry H YoungDepartment of Rehabilitation Medicine, Changi General Hospital, Singapore, Singapore.
Yee Sien NgDepartment of Rehabilitation Medicine, Singapore General Hospital, Singapore, Singapore.
Tian Ming TuDepartment of Neurology, National Neuroscience Institute, Neurology, Tan Tock Seng Hospital, Singapore, Singapore.
Yan Hoon AngGeriatric Medicine, Khoo Teck Puat Hospital, Singapore, Singapore.
Keng He KongDepartment of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore.
Rajinder SinghDepartment of Neurology, National Neuroscience Institute, Neurology, Tan Tock Seng Hospital, Singapore, Singapore.
Reshma A MerchantDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Hui Meng ChangNational Neuroscience Institute, Singapore General Hospital campus, Singapore, Singapore.
Tseng Tsai YeoDepartment of Neurosurgery, National University Hospital, Singapore, Singapore.
Chou NingDepartment of Neurosurgery, National University Hospital, Singapore, Singapore.
Angela CheongSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore.
Yu Li NgPolicy Research & Economics Office, Ministry of Health, Singapore, Singapore.
Chuen Seng TanSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore.
National University of Singapore · SGMinistry of Health · SGNational University Hospital · SGTan Tock Seng Hospital · SGDuke-NUS Medical School · SGKhoo Teck Puat Hospital · SGSingapore General Hospital · SGChangi General Hospital · SGDurham VA Medical Center · USMount Elizabeth Hospital · SGRaffles Institution · SGSt Andrews Community Hospital · GBSt Luke's Hospital · SG

Funding

Singapore Ministry of Health's National Medical Research Council under the Centre Grant Programme - Singapore Population Improvement Centre NMRC/CG/C026/2017_NUHS
6 · The paper itself

Abstract

backgroundHealth 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.

methodsA 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.

resultsWe 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%.

conclusionsThe 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.

Indexed as

AdultAgedAmbulatory CareCaregiversCohort StudiesFacilities and Services UtilizationFemaleHospitalizationHumansMaleMental RecallMiddle AgedPrimary Health CareProspective StudiesProxyResearch DesignCaregiverHealthcareIntraclass correlation coefficientStrokeValidation

Identifiers

PMID30359277
PMCPMC6203286
OpenAlexW2898260379

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.