Evidence map›Paper›PMID 32711516›Full record

ArticleBMC health services research2020

Claims data analysis of medical specialist utilization among nursing home residents and community-dwelling older people.

Maike Schulz, Chrysanthi Tsiasioti, Jonas Czwikla, Antje Schwinger, Daniel Gand, Annika Schmidt, Guido Schmiemann, Karin Wolf-Ostermann, Heinz Rothgang

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cost-benefit analysis of the CoCare intervention to improve medical care in long-term care nursing homes: an analysis based on claims data.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
  8. Patient-focused outcomes after initiation of dialysis for ESRD: mortality, hospitalization and functional impairment.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Observational
  9. Article
  10. Review
  11. Specialty care after transition to long-term care in nursing home.Journal of the American Geriatrics Society · 2023
    Article
  12. Article
  13. Article
  14. 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

9 authors.

Maike SchulzSOCIUM Research Center on Inequality and Social Policy, University of Bremen, Mary-Somerville-Straße 5, 28359, Bremen, Germany. maike.schulz@uni-bremen.de.ORCID http://orcid.org/0000-0001-7229-0914
Chrysanthi TsiasiotiWIdO - AOK Research Institute, P.O. Box 11 02 46, 10832, Berlin, Germany.
Jonas CzwiklaSOCIUM Research Center on Inequality and Social Policy, University of Bremen, Mary-Somerville-Straße 5, 28359, Bremen, Germany.
Antje SchwingerWIdO - AOK Research Institute, P.O. Box 11 02 46, 10832, Berlin, Germany.
Daniel GandHigh-Profile Area Health Sciences, University of Bremen, Bremen, Germany.
Annika SchmidtHigh-Profile Area Health Sciences, University of Bremen, Bremen, Germany.
Guido SchmiemannHigh-Profile Area Health Sciences, University of Bremen, Bremen, Germany.
Karin Wolf-OstermannHigh-Profile Area Health Sciences, University of Bremen, Bremen, Germany.
Heinz RothgangSOCIUM Research Center on Inequality and Social Policy, University of Bremen, Mary-Somerville-Straße 5, 28359, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost older people, and especially those in need of long-term care, suffer from one or more chronic diseases. Consequently, older people have an increased need of medical care, including specialist care. There is little evidence as yet whether older people with greater medical care needs obtain adequate medical care because existing studies do not sufficiently control for differences in morbidity. In this study we investigate whether differences in medical specialist utilization exist between older people with and without assessed long-term care need in line with Book XI of the German Social Code, while at the same time controlling for individual differences in morbidity.

methodsWe used data from the 11 German AOK Statutory Health and Long-term Care Insurance funds of 100,000 members aged 60 years or over. Zero-inflated Poisson regression analyses were applied to investigate whether the need for long-term care and the long-term care setting are associated with the probability and number of specialist visits. We controlled for age, gender, morbidity and mortality, residential density, and general practitioner (GP) utilization.

resultsOlder people in need of long-term care are more likely to have no specialist visit than people without the need for long-term care. This applies to nearly all medical specialties and for both care settings. Yet, despite these differences in utilization probability the number of specialist medical care visits between older people with and without the need for long-term care is similar.

conclusionOlder people in need of long-term care might face access barriers to specialist care. Once a contact is established, however, utilization does not differ considerably between those who need long-term care and those who don't; this indicates the importance of securing an initial contact.

Indexed as

Insurance Claim ReviewAgedFemaleGermanyHealth Services AccessibilityHealth Services ResearchHumansIndependent LivingLong-Term CareMaleMiddle AgedNursing HomesSpecializationAmbulatory long-term careClaims dataHealth services researchMultimorbidityOlder adults

Identifiers

PMID32711516
PMCPMC7382069

What OpenQuestion holds

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Registered trials

None linked

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.