Evidence map›Paper›PMID 23512733›Full record

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

Is there room for containing healthcare costs? An analysis of regional spending differentials in Italy.

Maura Francese, Marzia Romanelli

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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The residential healthcare for the elderly in Italy: some considerations for post-COVID-19 policies.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
    Article
  2. Giving patients a starring role in their own care: a bibliometric analysis of the on-going literature debate.Health expectations : an international journal of public participation in health care and health policy · 2016
    Review
  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

2 authors.

Maura FranceseResearch and International Relations, Banca d'Italia-Economics, via Nazionale 91, 00184, Rome, Italy, maura.francese@bancaditalia.it.
Marzia Romanelli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims at identifying the determinants of health spending differentials among Italian regions and at highlighting potential margins for savings. The analysis exploits a data set for the 21 Italian regions and autonomous provinces starting in the early 1990s and ending in 2006. After controlling for standard healthcare demand indicators, remaining spending differentials are found to be significant, and they appear to be associated with differences in the degree of appropriateness of treatments, health sector supply structure and social capital indicators. In general, higher regional expenditure does not appear to be associated with better reported or perceived quality in health services. In the regions that display poorer performances, inefficiencies appear not to be uniformly distributed among expenditure items. Overall, results suggest that savings could be achieved without reducing the amount of services provided to citizens. This seems particularly important given the expected rise in spending associated with the forecasted demographic developments.

Indexed as

Age FactorsCost ControlHealth BehaviorHealth ExpendituresHealth Services Needs and DemandHealth StatusHospital ChargesHumansItalyPrescription DrugsPrimary Health CareState MedicinePrescription Drugs

Identifiers

What OpenQuestion holds

Textmetadata
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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.