Evidence map›Paper›PMID 27141521›Full record

ArticleEGEMS (Washington, DC)2016

Ethics Issues Arising in the Transition to Learning Health Care Systems: Results from Interviews with Leaders from 25 Health Systems.

Stephanie R Morain, Nancy E Kass

Abstract read
In one paragraph

Article in EGEMS (Washington, DC), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
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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

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

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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

2 authors.

Stephanie R MorainCenter for Medical Ethics & Health Policy, Baylor College of Medicine.
Nancy E KassBerman Institute of Bioethics, Johns Hopkins University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is increased interest in transitioning to a "learning health care system" (LHCS). While this transition brings the potential for significant benefits, it also presents several ethical considerations. Identifying the ethical issues faced by institutions in this transition is critical for realizing the goals of learning health care so that these issues can be anticipated and, where possible, resolved.

methods29 semi-structured telephone interviews were conducted with leaders within 25 health care institutions. Respondents were recruiting using purposive sampling, targeting institutions considered as LHCS leaders. All interviews were audiorecorded and transcribed. NVIVO10 software was used to support qualitative analysis.

resultsRespondents described seven ethical challenges: (1) ethical oversight of learning activities; (2) transparency of learning activities to patients; (3) potential tensions between improving quality and reducing costs; (4) data sharing and data management; (5) lag time between discovery and implementation; (6) transparency to patients about quality; and (7) randomization for quality improvement initiatives. DISCUSSION: To move towards LHCS, several ethical considerations require further attention, including: the continued appropriateness of the research-treatment distinction; policy frameworks for privacy and data sharing; informing patients about learning activities; obligations to share data on quality; and the potential for trade-offs between quality improvement and cost control.

conclusionTo our knowledge, this is the first project to ask leaders from health care systems committed to ongoing learning about the ethical issues they have faced in this effort. Their experiences can provide guidance on relevant ethical issues, and what might be done to resolve them.

Indexed as

Comparative Effectiveness ResearchEthicsLearning Health CareOrganizational Innovation

Identifiers

PMID27141521
PMCPMC4827789

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.