Evidence map›Paper›PMID 25480719›Full record

ArticleJournal of general internal medicine2015

Designing a patient-centered user interface for access decisions about EHR data: implications from patient interviews.

Kelly Caine, Spencer Kohn, Carrie Lawrence, Rima Hanania, Eric M Meslin, William M Tierney

Registry-linked trialAbstract read
In one paragraph

Article in Journal of general internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01862133 (Aspiring to Awesome- Patient Preference Privacy Selections in EMR), which is not on this map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 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.

NCT01862133 completednot on this map

Aspiring to Awesome- Patient Preference Privacy Selections in EMR

TypeobservationalSponsorIndiana UniversityRan2013 to 2014Enrolled136ConditionsSexually Transmitted DiseasesArmsPatient preferences
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Pilot evaluation of sensitive data segmentation technology for privacy.International journal of medical informatics · 2020
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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

6 authors.

Kelly CaineClemson University School of Computing, McAdams Hall, Clemson, SC, 29634, USA, caine@clemson.edu.
Spencer Kohn
Carrie Lawrence
Rima Hanania
Eric M Meslin
William M Tierney

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
NCATS NIH HHS UL1 TR001108NCATS NIH HHS UL1TR001108
6 · The paper itself

Abstract

backgroundElectronic health records change the landscape of patient data sharing and privacy by increasing the amount of information collected and stored and the number of potential recipients. Patients desire granular control over who receives what information in their electronic health record (EHR), but there are no current patient interfaces that allow them to record their preferences for EHR access.

objectiveOur aim was to derive the user needs of patients regarding the design of a user interface that records patients' individual choices about who can access data in their EHRs.

designWe used semi-structured interviews.

settingThe study was conducted in Central Indiana.

participantsThirty patients with data stored in an EHR, the majority of whom (70 %) had highly sensitive health EHR data, were included in the study. APPROACH: We conducted a thematic and quantitative analysis of transcribed interview data. KEY

resultsPatients rarely knew what data were in their EHRs, but would have liked to know. They also wanted to be able to control who could access what information in their EHR and wanted to be notified when their data we re accessed.

conclusionsWe derived six implications for the design of a patient-centered tool to allow individual choice in the disclosure of EHR: easy patient access to their EHRs; an overview of current EHR sharing permissions; granular, hierarchical control over EHR access; EHR access controls based on dates; contextual privacy controls; and notification when their EHRs are accessed.

Indexed as

Decision MakingInformation DisseminationAdultElectronic Health RecordsFemaleHealth Knowledge, Attitudes, PracticeHumansIndianaInterviews as TopicMaleMedical Records Systems, ComputerizedMiddle AgedNeeds AssessmentPatient ParticipationProfessional-Patient RelationsQualitative Research

Identifiers

PMID25480719
PMCPMC4265225

What OpenQuestion holds

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Registered trials

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.