Evidence map›Paper›PMID 26032899›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2016

Informing management on the future structure of hospital care: an extrapolation of trends in demand and costs in lung diseases.

Matthias Vogl, Reiner Leidl

Abstract read
PubMed Publisher
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
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

2 authors at 1 institution in 1 country.

Matthias VoglHelmholtz Zentrum München, German Research Center for Environmental Health, Member of the German Center for Lung Research (DZL), Institute of Health Economics and Health Care Management (IGM), PO Box 1129, 85758, Neuherberg, Munich, Germany. matthias.vogl@helmholtz-muenchen.de.
Reiner LeidlHelmholtz Zentrum München, German Research Center for Environmental Health, Member of the German Center for Lung Research (DZL), Institute of Health Economics and Health Care Management (IGM), PO Box 1129, 85758, Neuherberg, Munich, Germany.
Ludwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe planning of health care management benefits from understanding future trends in demand and costs. In the case of lung diseases in the national German hospital market, we therefore analyze the current structure of care, and forecast future trends in key process indicators.

methodsWe use standardized, patient-level, activity-based costing from a national cost calculation data set of respiratory cases, representing 11.9-14.1 % of all cases in the major diagnostic category "respiratory system" from 2006 to 2012. To forecast hospital admissions, length of stay (LOS), and costs, the best adjusted models out of possible autoregressive integrated moving average models and exponential smoothing models are used.

resultsThe number of cases is predicted to increase substantially, from 1.1 million in 2006 to 1.5 million in 2018 (+2.7 % each year). LOS is expected to decrease from 7.9 to 6.1 days, and overall costs to increase from 2.7 to 4.5 billion euros (+4.3 % each year). Except for lung cancer (-2.3 % each year), costs for all respiratory disease areas increase: surgical interventions +9.2 % each year, COPD +3.9 %, bronchitis and asthma +1.7 %, infections +2.0 %, respiratory failure +2.6 %, and other diagnoses +8.5 % each year. The share of costs of surgical interventions in all costs of respiratory cases increases from 17.8 % in 2006 to 30.8 % in 2018.

conclusionsOverall costs are expected to increase particularly because of an increasing share of expensive surgical interventions and rare diseases, and because of higher intensive care, operating room, and diagnostics and therapy costs.

Indexed as

Health PlanningAgedAged, 80 and overCosts and Cost AnalysisDatabases, FactualDiagnosis-Related GroupsFemaleGermanyHealth ResourcesHealth Services Needs and DemandHospitalizationHumansLung DiseasesMaleMiddle AgedForecastingHospital careLung diseasesRespiratory diseasesTrends

Identifiers

PMID26032899
OpenAlexW618626597

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.