Evidence map›Paper›PMID 35832476›Full record

ArticleDigital health

Frequent and diverse use of electronic health records in the United States: A trend analysis of national surveys.

Han Zheng, Shaohai Jiang

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Factors Associated with Online Patient Portal Utilization Experience in an Arkansas Phone Survey.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. 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

2 authors.

Han ZhengSchool of Information Management, Wuhan University, China.
Shaohai JiangDepartment of Communications and New Media, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0002-8265-9778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Considering the increasing integration of electronic health records (EHRs) into medical practice by healthcare organizations, it is especially pertinent to understand its actual usage by the general public in recent years. This study aims to explore factors associated with the frequency and diversity of EHR usage in the United States over time. Methods: We analyzed three iterations (2017, 2018, and 2019) of the Health Information National Trends Survey (HINTS). HINTS is a national cross-sectional survey conducted by the National Cancer Institute to document attitudes and perceptions about health information access and use among American adults. Results: Both frequency and diversity of EHR usage have slightly increased across the years. However, its overall usage still remained low. Three technology-related enablers (access to digital devices, access to the Internet, and perceived usefulness of EHRs) were positively related to EHR usage in all three iterations. In addition, perceived health status was a constant and negative predictor of EHR usage over years. Doctor-patient communication was positively associated with the frequency of EHR usage in two survey waves. Conclusions: More initiatives to increase EHR usage in the United States are needed. We advocate for providing affordable Internet access and smartphone to underserved populations; in medical encounters, doctors should have more patient-centered communication, introduce the benefits of EHRs to patients, and promote EHR adoption in terms of frequency and diversity.

Indexed as

doctor–patient communicationElectronic health recordsinternet accessperceived usefulnesstrend analysis

Identifiers

PMID35832476
PMCPMC9272053

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Registered trials

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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.