Evidence map›Paper›PMID 16943334›Full record

ArticleJournal of medical ethics2006

Publish and perish: a case study of publication ethics in a rural community.

J Fraser, C Alexander

Abstract read
In one paragraph

Article in Journal of medical ethics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

J FraserSchool of Health, University of New England, Armidale, NSW 2351, Australia. john.fraser@hnehealth.nsw.gov.au
C Alexander

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth researchers must weigh the benefits and risks of publishing their findings.

objectiveTo explore differences in decision making between rural health researchers and managers on the publication of research from small identifiable populations.

methodA survey that investigated the attitudes of Australian rural general practitioners (GPs) to nurse practitioners was explored. Decisions on the study's publication were analysed with bioethical principles and health service management ethical decision-making models.

resultsResponse rate was 78.5% (62/79 GPs). 84-94% of GP responders considered it to be undesirable for nurse practitioners to initiate referrals to medical specialists (n=58), to initiate diagnostic imaging (n=56) and to prescribe medication (n=52). BIOETHICAL ANALYSIS: It was concluded that the principle of beneficence outweighed the principle of non-maleficence and that a valid justification for the publication of these results existed. DECISION-MAKING MODELS OF HEALTH SERVICE MANAGERS: On the basis of models of ethical decision making in health service management, the decisions of the area's health managers resulted in approval to publish this project's results being denied. This was because the perceived risks to the health service outweighed benefits. Confidentiality could not be ensured by publication under a regional nom de plume.

conclusionsA conflict of interests between rural researchers and health managers on publication of results is shown by this case study. Researchers and managers at times owe competing duties to key stakeholders. Both weigh the estimated risks and benefits of the effect of research findings. This is particularly true in a rural area, where identification of the subjects becomes more likely.

Indexed as

Nurse PractitionersRural HealthAttitude of Health PersonnelAustraliaBeneficenceConfidentialityDecision MakingFamily PracticeFemaleHumansInformation DisseminationInterprofessional RelationsMaleModels, OrganizationalNursing DiagnosisPublishing

Identifiers

PMID16943334
PMCPMC2563400

What OpenQuestion holds

Textmetadata
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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.