Evidence map›Paper›PMID 31861310›Full record

ArticleInternational journal of environmental research and public health2019

Availability of Real-World Data in Italy: A Tool to Navigate Regional Healthcare Utilization Databases.

Edlira Skrami, Flavia Carle, Simona Villani, Paola Borrelli, Antonella Zambon, Giovanni Corrao, Paolo Trerotoli, Vincenzo Guardabasso, Rosaria Gesuita

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Detecting early signals of COVID-19 outbreaks in 2020 in small areas by monitoring healthcare utilisation databases: first lessons learned from the Italian Alert_CoV project.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Statistical Advances in Epidemiology and Public Health.International journal of environmental research and public health · 2021
    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

9 authors.

Edlira SkramiCentre of Epidemiology, Biostatistics and Information Technology, Università Politecnica delle Marche, 60126 Ancona (AN), Italy.ORCID 0000-0001-7940-6748
Flavia CarleCentre of Epidemiology, Biostatistics and Information Technology, Università Politecnica delle Marche, 60126 Ancona (AN), Italy.ORCID 0000-0002-2422-6528
Simona VillaniDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia (PV), Italy.
Paola BorrelliDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia (PV), Italy.ORCID 0000-0001-9389-627X
Antonella ZambonDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milano (MI), Italy.
Giovanni CorraoDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milano (MI), Italy.
Paolo TrerotoliDepartment of Biomedical Sciences and Human Oncology, University of Bari, 70121 Bari (BA), Italy.
Vincenzo GuardabassoTeaching Hospital "Policlinico-Vittorio Emanuele", University of Catania, 95123 Catania (CT), Italy.ORCID 0000-0002-4566-9491
Rosaria GesuitaCentre of Epidemiology, Biostatistics and Information Technology, Università Politecnica delle Marche, 60126 Ancona (AN), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the study was to map and describe the healthcare utilization databases (HUDs) available in Italy's 19 regions and two autonomous provinces and develop a tool to navigate through them. A census of the HUDs covering the population of a single region/province and recording local-level data was conducted between January 2014 and October 2016. The characteristics of each HUD regarding the start year, data type and completeness, data management system (DMS), data protection procedures, and data quality control adopted were collected through interviews with the database managers using a standard questionnaire or directly from the website of the regional body managing them. Overall, 352 HUDs met the study criteria. The DMSs, anonymization procedures of personal identification data, and frequency of data quality control were fairly homogeneous within regions, whereas the number of HUDs, data availability, type of identification code, and anonymization procedures were considerably heterogeneous across regions. The study provides an updated inventory of the available regional HUDs in Italy and highlights the need for greater homogeneity across regions to improve comparability of health data from secondary sources. It could represent a reference model for other countries to provide information on the available HUDs and their features, enhancing epidemiological studies across countries.

Indexed as

Databases, FactualData ManagementItalyPatient Acceptance of Health Careepidemiologyhealthcare utilization databasesItalypopulation based

Identifiers

PMID31861310
PMCPMC6982131

What OpenQuestion holds

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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.