Evidence map›Paper›PMID 34175137›Full record

ArticleHealth policy (Amsterdam, Netherlands)2021

How have casemix, cost and hospital stay of inpatients in the last year of life changed over the past decade? Evidence from Italy.

Paolo Berta, Pietro Giorgio Lovaglio, Stefano Verzillo

Abstract read
In one paragraph

Article in Health policy (Amsterdam, Netherlands), 2021. 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
–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

2 citing papers in PubMed.

  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

3 authors.

Paolo BertaCRISP - Interuniversity Research Centre on Public Services, University of Milano Bicocca, Milan, Italy; Department of Statistics and Quantitative Methods, University of Milano Bicocca, Milan, Italy.
Pietro Giorgio LovaglioCRISP - Interuniversity Research Centre on Public Services, University of Milano Bicocca, Milan, Italy; Department of Statistics and Quantitative Methods, University of Milano Bicocca, Milan, Italy.
Stefano VerzilloCRISP - Interuniversity Research Centre on Public Services, University of Milano Bicocca, Milan, Italy; European Commission, Joint Research Centre (JRC), Ispra Italy. Electronic address: stefano.verzillo@ec.europa.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare utilisation and expenditure are highly concentrated in hospital inpatient services, in particular in end-of-life care with the peak occurring in the very last year of life, regardless of patient age. Few scientific studies have investigated hospital costs and stays of patients at the end of life, and even fewer studies have analysed their evolution over time. In this paper, we exploit hospitalisation data for the Lombardy region of Italy with the aim of studying the evolution of hospital casemix, costs and stays of chronic patients, and compare the last year of life of two cohorts of patients who died in 2005 and 2014. Despite an overall three-year increase in the age at death, the results showed a significant decrease in hospital costs and use due to reduced interventions and length of hospital stays. However, this was not associated with an increase in quality of life/conditions (as indicated by clinical casemix as a proxy) for end-of-life patients; patients' casemix characteristics and clinical condition, as measured by the number of comorbidities, disease severity, prevalence of pulmonary disease and heart failure diagnosis, significantly worsened over the decade. This gives rise to important health policy concerns on how to identify effective policies and possible changes in healthcare system organisation to move from hospital-centred care to a community-centred approach whose value has been demonstrated during the COVID-19 pandemic.

Indexed as

COVID-19InpatientsHospitalizationHumansItalyLength of StayPandemicsQuality of LifeSARS-CoV-2Chronic careEnd-of-lifeHealthcare expenditureHealthcare servicesQuantile regression

Identifiers

PMID34175137
PMCPMC8310922

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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.