Evidence map›Paper›PMID 21658256›Full record

ArticleBMC public health2011

Physician privacy concerns when disclosing patient data for public health purposes during a pandemic influenza outbreak.

Khaled El Emam, Jay Mercer, Katherine Moreau, Inese Grava-Gubins, David Buckeridge, Elizabeth Jonker

Abstract read
In one paragraph

Article in BMC public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Supporting patients with female genital mutilation in primary care: a qualitative study exploring the perspectives of GPs' working in England.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    Article
  10. Pandemics, privacy, and public health research.Canadian journal of public health = Revue canadienne de sante publique · 2020
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  19. A secure distributed logistic regression protocol for the detection of rare adverse drug events.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  20. Estimating the re-identification risk of clinical data sets.BMC medical informatics and decision making · 2012
    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

6 authors.

Khaled El EmamCHEO Research Institute, Smyth Road, Ottawa, K1H 8L1, Canada. kelemam@uottawa.ca
Jay Mercer
Katherine Moreau
Inese Grava-Gubins
David Buckeridge
Elizabeth Jonker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrivacy concerns by providers have been a barrier to disclosing patient information for public health purposes. This is the case even for mandated notifiable disease reporting. In the context of a pandemic it has been argued that the public good should supersede an individual's right to privacy. The precise nature of these provider privacy concerns, and whether they are diluted in the context of a pandemic are not known. Our objective was to understand the privacy barriers which could potentially influence family physicians' reporting of patient-level surveillance data to public health agencies during the Fall 2009 pandemic H1N1 influenza outbreak.

methodsThirty seven family doctors participated in a series of five focus groups between October 29-31 2009. They also completed a survey about the data they were willing to disclose to public health units. Descriptive statistics were used to summarize the amount of patient detail the participants were willing to disclose, factors that would facilitate data disclosure, and the consensus on those factors. The analysis of the qualitative data was based on grounded theory.

resultsThe family doctors were reluctant to disclose patient data to public health units. This was due to concerns about the extent to which public health agencies are dependable to protect health information (trusting beliefs), and the possibility of loss due to disclosing health information (risk beliefs). We identified six specific actions that public health units can take which would affect these beliefs, and potentially increase the willingness to disclose patient information for public health purposes.

conclusionsThe uncertainty surrounding a pandemic of a new strain of influenza has not changed the privacy concerns of physicians about disclosing patient data. It is important to address these concerns to ensure reliable reporting during future outbreaks.

Indexed as

Disease OutbreaksInfluenza A Virus, H1N1 SubtypePhysiciansPublic HealthAttitude of Health PersonnelCanadaConfidentialityFemaleFocus GroupsHumansInfluenza, HumanMaleSurveys and Questionnaires

Identifiers

PMID21658256
PMCPMC3130674

What OpenQuestion 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 OpenQuestion graph.