Evidence map›Paper›PMID 27272134›Full record

ArticleJournal of medical systems2016

Too Much or Too Little? How Much Control Should Patients Have Over EHR Data?

Soumitra Sudip Bhuyan, Sandra Bailey-DeLeeuw, David K Wyant, Cyril F Chang

Abstract read
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In one paragraph

Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

4 authors.

Soumitra Sudip BhuyanHealth Systems Management and Policy, School of Public Health, The University of Memphis, Memphis, TN, USA. sbhuyan@memphis.edu.
Sandra Bailey-DeLeeuwHealth Systems Management and Policy, School of Public Health, The University of Memphis, Memphis, TN, USA.
David K WyantJack C Massey College of Business, Belmont University, Nashville, TN, USA.
Cyril F ChangDepartment of Economics, Fogelman College of Business and Economics, The University of Memphis, Memphis, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic health records (EHRs) have been promoted as a mechanism to overcome the fragmented healthcare system in the United States. The challenge that is being discussed is the rights of the patient to control the access to their EHRs' data and the needs of healthcare professionals to know health data to make the best treatment decisions for their patients. The Federal Trade Commission has asked those who store consumer information to comply with the Fair Information Practice Principles. In the EHR context, these principles give the rights to the patient to control who can see their health data and what components of the data are restricted from view. Control is not limited to patients, as it also includes parents of adolescent children. We suggest that the ongoing policy discussion include consideration of the precise questions patients will be asked when a need for data sharing arises. Further, patients should understand the relative risks that they face, and the degree to which their decisions will (or will not) significantly reduce the risk of a data breach. As various approaches are considered, it is important to address the relative resource requirements and the associated costs of each option.

Indexed as

Patient RightsComputer SecurityConfidentialityElectronic Health RecordsHealth Information ExchangeHumansUnited StatesConsumer health informationData ownershipData sharingElectronic health recordsPatient data privacyPatient privacyPatient rightsPrivacy of patient data

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.