Evidence map›Paper›PMID 32379839›Full record

ArticlePloS one2020

Sociodemographic and health service organizational factors associated with the choice of the private versus public sector for specialty visits: Evidence from a national survey in Italy.

Davide Pianori, Elisa Maietti, Jacopo Lenzi, Mattia Quargnolo, Stefano Guicciardi, Kadjo Yves Cedric Adja, Maria Pia Fantini, Federico Toth

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. How Private Health Insurance Shapes Perceptions of Public Healthcare in Sweden.The International journal of health planning and management · 2025
    Article
  4. Article
  5. Article
  6. Patients' experiences of, and engagement with, remote home monitoring services for COVID-19 patients: A rapid mixed-methods study.Health expectations : an international journal of public participation in health care and health policy · 2022
    Article
  7. 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

8 authors at 1 institution in 1 country.

Davide PianoriDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.ORCID 0000-0002-0525-5470
Elisa MaiettiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.ORCID 0000-0003-0363-5784
Jacopo LenziDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Mattia QuargnoloDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.ORCID 0000-0003-1535-9203
Stefano GuicciardiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Kadjo Yves Cedric AdjaDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Maria Pia FantiniDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Federico TothDepartment of Political and Social Sciences, University of Bologna, Bologna, Italy.
University of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough Italy's NHS is funded through general taxation, the private sector plays an important role in health service provision and financing. The aim of this paper was to identify the sociodemographic and health service organizational factors associated with the propensity to seek specialist care in the private sector. MATERIALS AND

methodsData were retrieved from the national Istat survey "Health conditions and use of health services" carried out in 2012-2013. We selected adults with a specialty visit in the previous 12 months in the four most frequent medical specialties: ophthalmology, cardiology, obstetrics/gynecology and orthopedics. The study outcome was the choice to use a private service. In order to investigate the determinants of private use, we adopted the socio-behavioral model by Andersen and Newman, making a distinction between sociodemographic and healthcare organizational factors. The associations with the outcome were analyzed using chi-squared test, t-test and multivariable logistic regression analysis. RESULTS AND DISCUSSION: Use of private care varied widely, from 26.3% for cardiology to 53.6% for obstetrics/gynecology. Females, patients with higher educational levels and patients with higher self-reported economic resources sought more frequently private healthcare for all specialties; younger patients and employed patients were more likely to seek private care for ophthalmic conditions. Exemption from copayment for public services reduced more than half the propensity to seek private care. Trust in this healthcare service was the main reason for private users (52.5%) followed by waiting time (26.7%) and physician choice (20.1%).

conclusionThe attitude of the population to use private services for specialist visits is linked both to sociodemographic and health services organizational factors: the former are unmodifiable while the latter are susceptible to managerial and health policy actions. In a public-financed, universal coverage system, policy makers may act upon the organizational factors that make private health facilities more attractive in order to reduce private care use.

Indexed as

Health Services AdministrationAdolescentAdultAgedAged, 80 and overFemaleHealth Services AccessibilityHospitals, PrivateHospitals, PublicHumansItalyMaleMiddle AgedPrivate PracticePrivate SectorPublic Sector

Identifiers

PMID32379839
PMCPMC7205245
OpenAlexW3023868056

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.