Evidence map›Paper›PMID 24816637›Full record

ArticlePloS one2014

Can Italian healthcare administrative databases be used to compare regions with respect to compliance with standards of care for chronic diseases?

Rosa Gini, Martijn J Schuemie, Paolo Francesconi, Francesco Lapi, Iacopo Cricelli, Alessandro Pasqua, Pietro Gallina, Daniele Donato, Salvatore Brugaletta, Andrea Donatini and 7 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

17 authors.

Rosa GiniAgenzia regionale di sanità della Toscana, Florence, Italy; Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.
Martijn J SchuemieDepartment of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.
Paolo FrancesconiAgenzia regionale di sanità della Toscana, Florence, Italy.
Francesco LapiSocietà italiana di medicina generale, Florence, Italy.
Iacopo CricelliGenomedics, Florence, Italy.
Alessandro PasquaGenomedics, Florence, Italy.
Pietro GallinaUnità Locale Socio Sanitaria Padova, Padua, Italy.
Daniele DonatoUnità Locale Socio Sanitaria Padova, Padua, Italy.
Salvatore BrugalettaAzienda Sanitaria Provinciale Ragusa, Ragusa, Italy.
Andrea DonatiniAssessorato Politiche per la Salute, Bologna, Italy.
Alessandro MariniZona Territoriale Senigallia, Senigallia, Italy.
Claudio CricelliSocietà italiana di medicina generale, Florence, Italy.
Gianfranco DamianiUniversità Cattolica del Sacro Cuore, Rome, Italy.
Mariadonata BellentaniAgenzia Nazionale per il Servizi Sanitari Regionali, Rome, Italy.
Johan van der LeiDepartment of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.
Miriam C J M SturkenboomDepartment of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.
Niek S KlazingaAcademic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundItaly has a population of 60 million and a universal coverage single-payer healthcare system, which mandates collection of healthcare administrative data in a uniform fashion throughout the country. On the other hand, organization of the health system takes place at the regional level, and local initiatives generate natural experiments. This is happening in particular in primary care, due to the need to face the growing burden of chronic diseases. Health services research can compare and evaluate local initiatives on the basis of the common healthcare administrative data.However reliability of such data in this context needs to be assessed, especially when comparing different regions of the country. In this paper we investigated the validity of healthcare administrative databases to compute indicators of compliance with standards of care for diabetes, ischaemic heart disease (IHD) and heart failure (HF).

methodsWe compared indicators estimated from healthcare administrative data collected by Local Health Authorities in five Italian regions with corresponding estimates from clinical data collected by General Practitioners (GPs). Four indicators of diagnostic follow-up (two for diabetes, one for IHD and one for HF) and four indicators of appropriate therapy (two each for IHD and HF) were considered.

resultsAgreement between the two data sources was very good, except for indicators of laboratory diagnostic follow-up in one region and for the indicator of bioimaging diagnostic follow-up in all regions, where measurement with administrative data underestimated quality.

conclusionAccording to evidence presented in this study, estimating compliance with standards of care for diabetes, ischaemic heart disease and heart failure from healthcare databases is likely to produce reliable results, even though completeness of data on diagnostic procedures should be assessed first. Performing studies comparing regions using such indicators as outcomes is a promising development with potential to improve quality governance in the Italian healthcare system.

Indexed as

AdolescentAdultAgedAged, 80 and overChronic DiseaseDatabases, FactualDelivery of Health CareDiabetes MellitusFemaleGeographyGeography, MedicalHealth SurveysHeart FailureHumansItalyMale

Identifiers

PMID24816637
PMCPMC4015953

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Registered trials

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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.