Evidence map›Paper›PMID 34309574›Full record

ArticleJMIR human factors2021

The Role of Computer Skills in Personal Health Record Adoption Among Patients With Heart Disease: Multidimensional Evaluation of Users Versus Nonusers.

Martina A Clarke, Ann L Fruhling, Elizabeth L Lyden, Alvin E Tarrell, Tamara L Bernard, John R Windle

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Martina A Clarke *School of Interdisciplinary Informatics, College of Information Science and Technology, University of Nebraska Omaha, Omaha, NE, United States.ORCID https://orcid.org/0000-0002-4905-4566
Ann L FruhlingSchool of Interdisciplinary Informatics, College of Information Science and Technology, University of Nebraska Omaha, Omaha, NE, United States.ORCID https://orcid.org/0000-0001-9481-3069
Elizabeth L LydenDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.ORCID https://orcid.org/0000-0002-1635-6365
Alvin E TarrellSchool of Interdisciplinary Informatics, College of Information Science and Technology, University of Nebraska Omaha, Omaha, NE, United States.ORCID https://orcid.org/0000-0002-8386-9902
Tamara L BernardDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID https://orcid.org/0000-0001-8304-0064
John R WindleDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID https://orcid.org/0000-0001-7654-3798
University of Nebraska at Omaha · USUniversity of Nebraska Medical Center · US

Funding

Optimizing the Electronic Health Record for Cardiac CareR01HS022110 · AHRQ · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WINDLE, JOHN R · 2014 to 2014
$2.4M
AHRQ HHS R01 HS022110
6 · The paper itself

Abstract

backgroundIn the era of precision medicine, it is critical for health communication efforts to prioritize personal health record (PHR) adoption.

objectiveThe objective of this study was to describe the characteristics of patients with heart disease that choose to adopt a PHR.

methodsA total of 79 patients with chronic cardiovascular disease participated in this study: 48 PHR users and 31 nonusers. They completed 5 surveys related to their choice to use or not use the PHR: demographics, patient activation, medication adherence, health literacy, and computer self-efficacy (CSE).

resultsThere was a significant difference between users and nonusers in the sociodemographic measure education (P=.04). There was no significant difference between users and nonusers in other sociodemographic measures: age (P=.20), sex (P=.35), ethnicity (P=.43), race (P=.42), and employment (P=.63). There was a significant difference between PHR users and PHR nonusers in CSE (P=.006).

conclusionsIn this study, we demonstrate that sociodemographic characteristics were not an important factor in patients' use of their PHR, except for education. This study had a small sample size and may not have been large enough to detect differences between groups. Our results did demonstrate that there is a difference between PHR users and nonusers related to their CSE. This work suggests that incorporating CSE into the design of PHRs is critical. The design of patient-facing tools must take into account patients' preferences and abilities when developing effective user-friendly health information technologies.

Indexed as

communicationhealth literacypatient portalpatientsprecision medicine

Identifiers

PMID34309574
PMCPMC8367119
OpenAlexW3186959103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.