Evidence map›Paper›PMID 32150259›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2020

Racial differences in patient consent policy preferences for electronic health information exchange.

Carolyn L Turvey, Dawn M Klein, Kim M Nazi, Susan T Haidary, Omar Bouhaddou, Nelson Hsing, Margaret Donahue

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

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

  1. Pooled it
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Review
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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

7 authors.

Carolyn L TurveylabelVirtual Specialty Care QUERI Program: Implementing and Evaluating Technology Facilitated Clinical Interventions to Improve Access to High Quality Specialty Care for Rural Veterans, Seattle, Washington & Iowa City, Iowa, USA.
Dawn M KleinVA Office of Rural Health, Rural Health Resource Center, Iowa City, Iowa, USA.
Kim M NaziIndependent Information Technology Consultant, Coxsackie, New York, USA.
Susan T HaidaryVeterans and Consumers Health Informatics Office, Office of Connected Care, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA.
Omar BouhaddouUS Department of Veterans Affairs, Veterans Health Information Exchange Program, Washington, DC.
Nelson HsingUS Department of Veterans Affairs, Veterans Health Information Exchange Program, Washington, DC.
Margaret DonahueUS Department of Veterans Affairs, Veterans Health Information Exchange Program, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to explore the association between demographic variables, such as race and gender, and patient consent policy preferences for health information exchange as well as self-report by VHA enrollees of information continuity between Veterans Health Administration (VHA) and community non-VHA heath care providers. MATERIALS AND

methodsData were collected between March 25, 2016 and August 22, 2016 in an online survey of 19 567 veterans. Three questions from the 2016 Commonwealth Fund International Health Policy Survey, which addressed care continuity, were included. The survey also included questions about consent policy preference regarding opt-out, opt-in, and "break the glass" consent policies.

resultsVHA enrollees had comparable proportions of unnecessary laboratory testing and conflicting information from providers when compared with the United States sample in the Commonwealth Survey. However, they endorsed medical record information being unavailable between organizations more highly. Demographic variables were associated with gaps in care continuity as well as consent policy preferences, with 56.8% of Whites preferring an opt-out policy as compared with 40.3% of Blacks, 44.9% of Hispanic Latinos, 48.3% of Asian/Pacific Islanders, and 38.3% of Native Americans (P < .001). DISCUSSION: Observed large differences by race and ethnicity in privacy preferences for electronic health information exchange should inform implementation of these programs to ensure cultural sensitivity. Veterans experienced care continuity comparable to a general United States sample, except for less effective exchange of health records between heath care organizations. VHA followed an opt-in consent policy at the time of this survey which may underlie this gap.

Indexed as

ConfidentialityHealth Information ExchangeInformed ConsentRace FactorsVeteransAdultAgedCulturally Competent CareEthnicityFemaleHealth Care SurveysHumansMaleMiddle AgedUnited StatesVeterans Health Servicesconsent policyhealth disparities, privacy, consent, Electronic Health Records, racial/ethnic disparitieshealth information exchange

Identifiers

PMID32150259
PMCPMC7647308

What OpenQuestion holds

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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.