Evidence map›Paper›PMID 33330802›Full record

ArticleGlobal health & medicine2020

General patients' expectations on online accessibility to their electronic health records in Japan.

Lalla Soundous Elkhaili El Alami, Asuka Nemoto, Yoshinori Nakata

Abstract read
In one paragraph

Article in Global health & medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Lalla Soundous Elkhaili El AlamiTeikyo University Graduate School of Public Health, Tokyo, Japan.
Asuka NemotoTeikyo University Graduate School of Public Health, Tokyo, Japan.
Yoshinori NakataTeikyo University Graduate School of Public Health, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allowing patients to access their electronic health records (EHR) online, that we call the patient open- EHR, may help patients better understand and remember their health information, leading to improved health outcomes. In Japan, such solution is not yet widespread, and general patients' expectations for such solution are not known. The OpenNotes initiative in the United States of America (USA) had done various studies concerning the intervention of sharing doctors' notes, which are part of the EHR, with patients. Our study objective is to explore general patients' expectations toward potential benefits and risks of the patient open-EHR solution if given chance to use in Japan. A cross-sectional study was done using an online questionnaire. One hundred and eighty-three general patients without previous experience using the patient open-EHR service, responded to our survey after being recruited through SNS and posters at a university hospital not offering the solution. Comparison with the result of the OpenNotes original study, conducted in a similar setting, was also done. The results showed that participants were, similarly to the OpenNotes results, positive about the system's potential benefits; 90% agreed on the system ability to help them better understand their condition and remember their healthcare plan. On the other hand, they were much concerned about the potential risks especially privacy; 62% agreed they would be worried about their privacy. Adequate measures to provide highly secured systems and to allow patients to be better informed about the use of their personal health records should be taken to comfort future users.

Indexed as

EHROpenNotespatient understandingprivacy concernremembering

Identifiers

PMID33330802
PMCPMC7731269

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.