Evidence map›Paper›PMID 25697464›Full record

ArticleHEC forum : an interdisciplinary journal on hospitals' ethical and legal issues2015

Exploring the Potential for Moral Hazard When Clinical Trial Research is Conducted in Rural Communities: Do Traditional Ethics Concepts Apply?

Ann Freeman Cook, Helena Hoas

Abstract read
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In one paragraph

Article in HEC forum : an interdisciplinary journal on hospitals' ethical and legal issues, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Introduction: clinical ethics beyond the urban hospital.HEC forum : an interdisciplinary journal on hospitals' ethical and legal issues · 2015
    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

2 authors.

Ann Freeman CookDepartment of Psychology - Corbin 341, The University of Montana, Missoula, MT, 59812-7397, USA, ann.cook@umontana.edu.
Helena Hoas

Funding

PHS HHS R01 HGOO5843
6 · The paper itself

Abstract

Over the past 20 years, clinical research has migrated from academic medical centers to community-based settings, including rural settings. This evolving research environment may present some moral hazards or challenges that could undermine traditionally accepted standards for the protection of human subjects. The study described in this article was designed to explore the influence of motives driving the decisions to conduct clinical trial research in rural community settings. The researchers conducted semi-structured interviews with 80 participants who conducted clinical trials with rural subjects. The interviews provided a way to examine the influence of budgetary factors when deciding to conduct a clinical study, how information about the budget and the purpose of the study is conveyed to research participants, and the potential willingness of clinicians and coordinators to enroll in the kinds of studies they offer. The findings suggest that clinical trial research in rural communities may challenge clinicians' abilities to balance the needs of the patient with the needs of the research enterprise. Few respondents seemed to recognize the traditionally recognized hazards of a dual relationship, specifically the moral risks of trying to attend to the interests of both patient and industry. It seems important to re-examine how we protect human subjects and what such protection should look like as research becomes part of the way medical care is provided, even in very rural areas.

Indexed as

MoralsRural PopulationBiomedical ResearchClinical Trials as TopicHumansQualitative 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.