Evidence map›Paper›PMID 27391599›Full record

ArticleBMC health services research2016

Methodological issues on the use of administrative data in healthcare research: the case of heart failure hospitalizations in Lombardy region, 2000 to 2012.

Cristina Mazzali, Anna Maria Paganoni, Francesca Ieva, Cristina Masella, Mauro Maistrello, Ornella Agostoni, Simonetta Scalvini, Maria Frigerio, HF Data Project

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
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  6. Unsupervised algorithms to identify potential under-coding of secondary diagnoses in hospitalisations databases in Portugal.Health information management : journal of the Health Information Management Association of Australia · 2024
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  19. Minimum Data Set for a Poisoning Registry: A Systematic Review.Iranian journal of pharmaceutical research : IJPR · 2021
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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

9 authors.

Cristina MazzaliDepartment of Management Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy.
Anna Maria PaganoniMOX-Department of Mathematics, Politecnico di Milano, Via Bonardi 9, 20133, Milan, Italy. anna.paganoni@polimi.it.ORCID 0000-0002-8253-3630
Francesca IevaDepartment of Mathematics, Università degli Studi di Milano, Milan, Italy.
Cristina MasellaDepartment of Management Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy.
Mauro MaistrelloOspedale Uboldo, AO Melegnano, Milan, Italy.
Ornella AgostoniAO San Carlo di Milano, Milan, Italy.
Simonetta ScalviniIRCCS Fondazione S. Maugeri di Lumezzane, Brescia, Italy.
Maria FrigerioDe Gasperis Cardiocenter, Niguarda-Ca'Granda hospital, Milan, Italy.
HF Data Project

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdministrative data are increasingly used in healthcare research. However, in order to avoid biases, their use requires careful study planning. This paper describes the methodological principles and criteria used in a study on epidemiology, outcomes and process of care of patients hospitalized for heart failure (HF) in the largest Italian Region, from 2000 to 2012.

methodsData were extracted from the administrative data warehouse of the healthcare system of Lombardy, Italy. Hospital discharge forms with HF-related diagnosis codes were the basis for identifying HF hospitalizations as clinical events, or episodes. In patients experiencing at least one HF event, hospitalizations for any cause, outpatient services utilization, and drug prescriptions were also analyzed.

resultsSeven hundred one thousand, seven hundred one heart failure events involving 371,766 patients were recorded from 2000 to 2012. Once all the healthcare services provided to these patients after the first HF event had been joined together, the study database totalled about 91 million records. Principles, criteria and tips utilized in order to minimize errors and characterize some relevant subgroups are described.

conclusionsThe methodology of this study could represent the basis for future research and could be applied in similar studies concerning epidemiology, trend analysis, and healthcare resources utilization.

Indexed as

Heart FailureHospital AdministrationAgedAmbulatory CareDatabases, FactualDelivery of Health CareFemaleHealth Services ResearchHospitalizationHumansItalyMalePatient DischargeAdministrative databasesComorbidityEpidemiological studiesHealthcare services utilizationHeart failureHigh dimensional data methods

Identifiers

PMID27391599
PMCPMC4939041

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.