Evidence map›Paper›PMID 37546309›Full record

SynthesisFrontiers in public health2023

Measuring the willingness to share personal health information: a systematic review.

Marcello Benevento, Gabriele Mandarelli, Francesco Carravetta, Davide Ferorelli, Cristina Caterino, Simona Nicolì, Antonella Massari, Biagio Solarino

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. FHIR Granular Sensitive Data Segmentation.Applied clinical informatics · 2025
    Article
  13. Article
  14. Community views on the secondary use of general practice data: Findings from a mixed-methods study.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  15. Article
  16. Article
  17. 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.

Marcello BeneventoDepartment of Interdisciplinary Medicine, University of Bari, Bari, Italy.
Gabriele MandarelliDepartment of Interdisciplinary Medicine, University of Bari, Bari, Italy.
Francesco CarravettaDepartment of Interdisciplinary Medicine, University of Bari, Bari, Italy.
Davide FerorelliDepartment of Interdisciplinary Medicine, University of Bari, Bari, Italy.
Cristina CaterinoDepartment of Interdisciplinary Medicine, University of Bari, Bari, Italy.
Simona NicolìDepartment of Interdisciplinary Medicine, University of Bari, Bari, Italy.
Antonella MassariDepartment of Economics, Management and Business Law, University of Bari, Bari, Italy.
Biagio SolarinoDepartment of Interdisciplinary Medicine, University of Bari, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the age of digitalization and big data, personal health information is a key resource for health care and clinical research. This study aimed to analyze the determinants and describe the measurement of the willingness to disclose personal health information. Methods: The study conducted a systematic review of articles assessing willingness to share personal health information as a primary or secondary outcome. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocol. English and Italian peer-reviewed research articles were included with no restrictions for publication years. Findings were narratively synthesized. Results: The search strategy found 1,087 papers, 89 of which passed the screening for title and abstract and the full-text assessment. Conclusion: No validated measurement tool has been developed for willingness to share personal health information. The reviewed papers measured it through surveys, interviews, and questionnaires, which were mutually incomparable. The secondary use of data was the most important determinant of willingness to share, whereas clinical and socioeconomic variables had a slight effect. The main concern discouraging data sharing was privacy, although good data anonymization and the high perceived benefits of sharing may overcome this issue.

Indexed as

Health Records, PersonalInformation DisseminationPrivacySurveys and Questionnairesdata sharinghealth datapersonal health informationprivacysecondary data uses

Identifiers

PMID37546309
PMCPMC10397406

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.