Evidence map›Paper›PMID 24832843›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2014

Economic burden of long-term care of rheumatoid arthritis patients in Hungary.

Cs Zoltán Horváth, Andor Sebestyén, August Österle, Dóra Endrei, József Betlehem, András Oláh, László Imre, Gabriella Bagosi, Imre Boncz

Abstract read
PubMed Publisher
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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.

Cs Zoltán HorváthInstitute for Health Insurance, Faculty of Health Sciences, University of Pécs, Mária u. 5-7, 7621, Pécs, Hungary.
Andor Sebestyén
August Österle
Dóra Endrei
József Betlehem
András Oláh
László Imre
Gabriella Bagosi
Imre Boncz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimLong-term care (LTC) in Hungary is provided in four major ways: day care, nursing, chronic care, and rehabilitation. The aim of this study was to explore the financing of LTC in Hungary, with a disease-specific focus on rheumatoid arthritis (RA) patients. DATA AND

methodsData were derived from the National Health Insurance Fund Administration (NHIFA). For 2012, we analyzed the following indicators: number of patients and cases, crude and weighted hospital days, and health insurance expenditure.

resultsThe annual health insurance expenditure of LTC was 112.6 million EUR in Hungary in 2012 and covered 209,000 patients (225,000 cases). The NHIFA spent 0.69 million EUR for the LTC of 976 patients with RA. The annual health insurance cost per patient was significantly (by 32%) higher for patients with RA (710 EUR) than the average cost of all patients (538 EUR). The average length of stay was also higher for patients with RA (19.7 days) than for the general LTC population (17.4 days).

conclusionsThe cost of LTC of patients with RA is higher than the average cost of the general LTC patient population. Early treatment of RA patients could contribute to decreasing LTC expenditure. More generally, health technology assessment can inform future LTC funding debates in Central and Eastern European countries by putting more emphasis on LTC utilization and costs.

Indexed as

Cost of IllnessArthritis, RheumatoidDatabases, FactualHealth Care CostsHumansHungaryLong-Term Care

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.