Evidence map›Paper›PMID 19288201›Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2010

Public perceptions of ethical issues regarding adult predictive genetic testing.

Douglas K Martin, Heather L Greenwood, Jeff Nisker

Abstract read
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In one paragraph

Article in Health care analysis : HCA : journal of health philosophy and policy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Douglas K MartinDepartment of Health Policy, Management and Evaluation and the Joint Centre for Bioethics, University of Toronto, 88 College St., Toronto, ON, M5G 1L4, Canada. douglas.martin@utoronto.ca
Heather L Greenwood
Jeff Nisker

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

The purpose of this study was to explore the views of members of the general public regarding ethical issues in adult predictive genetic testing. The literature pertaining to ethical issues regarding to adult predictive genetic testing is largely restricted to the views of 'experts' who have emphasized informed consent, patent issues, and insurance discrimination. Occasionally the views of patients who have undergone genetic counselling and testing have been elicited, adding psychosocial and family issues. However, the general public has not had the opportunity to contribute. In order to explore theatre as a health policy research tool, 1,200 audience members attended the play 'Sarah's Daughters' in seven Canadian cities, following which audience discussions were audiotaped. This study performed a secondary qualitative analysis of the data to identify the ethical issues of adult predictive genetic testing important to members of the general public. The identified issues were: (1) need for public education; (2) choice to undergo genetic counselling and testing; (3) access to genetic counselling and testing; and (4) obligations regarding the handling of genetic information. Audience members emphasized public education and access to information regarding potential choices, which was different from the emphasis on informed consent and other ethical issues prominent in the literature. Members of the general public emphasized ethical issues that were different than those identified by experts and patients. It is essential that members of the public be included in complex and controversial public policy decisions.

Indexed as

Genetic Predisposition to DiseasePublic OpinionAdultAttitude to HealthCanadaDisclosureDramaGenetic CounselingGenetic TestingHealth EducationHumansQualitative Research

Identifiers

What OpenQuestion holds

Textmetadata
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.