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Factors affecting willingness to share electronic health data among California consumers

Overview of attention for article published in BMC Medical Ethics, April 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
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Title
Factors affecting willingness to share electronic health data among California consumers
Published in
BMC Medical Ethics, April 2017
DOI 10.1186/s12910-017-0185-x
Pubmed ID
Authors

Katherine K. Kim, Pamela Sankar, Machelle D. Wilson, Sarah C. Haynes

Abstract

Robust technology infrastructure is needed to enable learning health care systems to improve quality, access, and cost. Such infrastructure relies on the trust and confidence of individuals to share their health data for healthcare and research. Few studies have addressed consumers' views on electronic data sharing and fewer still have explored the dual purposes of healthcare and research together. The objective of the study is to explore factors that affect consumers' willingness to share electronic health information for healthcare and research. This study involved a random-digit dial telephone survey of 800 adult Californians conducted in English and Spanish. Logistic regression was performed using backward selection to test for significant (p-value ≤ 0.05) associations of each explanatory variable with the outcome variable. The odds of consent for electronic data sharing for healthcare decreased as Likert scale ratings for EHR impact on privacy worsened, odds ratio (OR) = 0.74, 95% CI [0.60, 0.90]; security, OR = 0.80, 95% CI [0.66, 0.98]; and quality, OR = 0.59, 95% CI [0.46-0.75]. The odds of consent for sharing for research was greater for those who think EHR will improve research quality, OR = 11.26, 95% CI [4.13, 30.73]; those who value research benefit over privacy OR = 2.72, 95% CI [1.55, 4.78]; and those who value control over research benefit OR = 0.49, 95% CI [0.26, 0.94]. Consumers' choices about electronically sharing health information are affected by their attitudes toward EHRs as well as beliefs about research benefit and individual control. Design of person-centered interventions utilizing electronically collected health information, and policies regarding data sharing should address these values of importance to people. Understanding of these perspectives is critical for leveraging health data to support learning health care systems.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 16%
Student > Ph. D. Student 21 14%
Researcher 13 8%
Student > Bachelor 12 8%
Student > Doctoral Student 8 5%
Other 20 13%
Unknown 56 36%
Readers by discipline Count As %
Medicine and Dentistry 14 9%
Computer Science 14 9%
Business, Management and Accounting 13 8%
Social Sciences 11 7%
Nursing and Health Professions 6 4%
Other 33 21%
Unknown 63 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2020.
All research outputs
#7,001,266
of 23,577,654 outputs
Outputs from BMC Medical Ethics
#587
of 1,016 outputs
Outputs of similar age
#108,689
of 310,031 outputs
Outputs of similar age from BMC Medical Ethics
#12
of 21 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,016 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,031 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.