Evidence map›Paper›PMID 31615431›Full record

Observational studyBMC geriatrics2019

Care trajectories of chronically ill older adult patients discharged from hospital: a quantitative cross-sectional study using health insurance claims data.

Yvonne de Man, Femke Atsma, Wilma Jonkers, Sophia E J A de Rooij, Gert P Westert, Patrick P T Jeurissen, A Stef Groenewoud

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC geriatrics, 2019. 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
1.2field-weighted citation impact, top 16% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  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

7 authors at 3 institutions in 1 country.

Yvonne de ManRadboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, P.O. Box 9101, 114, 6500, HB, Nijmegen, the Netherlands. Yvonne.deman@radboudumc.nl.ORCID 0000-0003-1270-9394
Femke AtsmaRadboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, P.O. Box 9101, 114, 6500, HB, Nijmegen, the Netherlands.
Wilma JonkersDivision of Health Care, Achmea Insurances, Zwolle, The Netherlands.
Sophia E J A de RooijUniversity of Groningen, University Medical Center Groningen, University Center for Geriatric Medicine, Groningen, The Netherlands.
Gert P WestertRadboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, P.O. Box 9101, 114, 6500, HB, Nijmegen, the Netherlands.
Patrick P T JeurissenRadboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, P.O. Box 9101, 114, 6500, HB, Nijmegen, the Netherlands.
A Stef GroenewoudRadboud university medical center, Radboud Institute for Health Sciences, IQ healthcare, P.O. Box 9101, 114, 6500, HB, Nijmegen, the Netherlands.
Radboud University Nijmegen · NLAchmea (Netherlands) · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor older adults, a good transition from hospital to the primary or long-term care setting can decrease readmissions. This paper presents the 6-month post-discharge healthcare utilization of older adults and describes the numbers of readmissions and deaths for the most frequently occurring aftercare arrangements as a starting point in optimizing the post-discharge healthcare organization.

methodsThis cross-sectional study included older adults insured with the largest Dutch insurance company. We described the utilization of healthcare within 180 days after discharge from their first hospital admission of 2015 and the most frequently occurring combinations of aftercare in the form of geriatric rehabilitation, community nursing, long-term care, and short stay during the first 90 days after discharge. We calculated the proportion of older adults that was readmitted or had died in the 90-180 days after discharge for the six most frequent combinations. We performed all analyses in the total group of older adults and in a sub-group of older adults who had been hospitalized due to a hip fracture.

resultsA total of 31.7% of all older adults and 11.4% of the older adults with a hip fracture did not receive aftercare. Almost half of all older adults received care of a community nurse, whereas less than 5% received long-term home care. Up to 18% received care in a nursing home during the 6 months after discharge. Readmissions were lowest for older adults with a short stay and highest in the group geriatric rehabilitation + community nursing. Mortality was lowest in the total group of older aldults and subgroup with hip fracture without aftercare.

conclusionsThe organization of post-discharge healthcare for older adults may not be organized sufficiently to guarantee appropriate care to restore functional activity. Although receiving aftercare is not a clear predictor of readmissions in our study, the results do seem to indicate that older adults receiving community nursing in the first 90 days less often die compared to older adults with other types of aftercare or no aftercare. Future research is necessary to examine predictors of readmissions and mortality in both older adult patients discharged from hospital.

Indexed as

AftercareAgedAged, 80 and overChronic DiseaseCross-Sectional StudiesFemaleHospitalsHumansInsurance Claim ReviewInsurance, HealthMalePatient Acceptance of Health CarePatient DischargePatient ReadmissionSkilled Nursing FacilitiesAftercareHealthcare policyHealthcare utilizationHip fractureHome and community based care and servicesHospital/ambulatory careLong-term careQuantitative research methods

Identifiers

PMID31615431
PMCPMC6792218
OpenAlexW2981060823

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.