Evidence map›Paper›PMID 29674312›Full record

ArticleJournal of medical Internet research2018

Characterization of Patient Interest in Provider-Based Consumer Health Information Technology: Survey Study.

Joseph Featherall, Brittany Lapin, Alexander Chaitoff, Sonia A Havele, Nicolas Thompson, Irene Katzan

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.7field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

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  9. Estimating Patient Empowerment and Nurses' Use of Digital Strategies: eSurvey Study.International journal of environmental research and public health · 2021
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  11. The translational sciences clinic: From bench to bedside.Journal of clinical and translational science · 2020
    Article
  12. Engaging hematopoietic cell transplantation patients and caregivers in the design of print and mobile application individualized survivorship care plan tools.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Article
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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 at 3 institutions in 1 country.

Joseph Featherall *Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, United States.ORCID 0000-0002-2634-9484
Brittany LapinNeurological Institute Center for Outcomes Research & Evaluation, Cleveland Clinic, Cleveland, OH, United States.ORCID 0000-0002-4314-2282
Alexander ChaitoffCleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, United States.ORCID 0000-0002-0017-6992
Sonia A HaveleSchool of Medicine, Case Western Reserve University, Cleveland, OH, United States.ORCID 0000-0003-1882-748X
Nicolas ThompsonNeurological Institute Center for Outcomes Research & Evaluation, Cleveland Clinic, Cleveland, OH, United States.ORCID 0000-0002-8973-5219
Irene KatzanCleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, United States.ORCID 0000-0002-9006-7780
Cleveland Clinic · USCleveland Clinic Lerner College of Medicine · USCase Western Reserve University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsumer health information technology can improve patient engagement in their health care and assist in navigating the complexities of health care delivery. However, the consumer health information technology offerings of health systems are often driven by provider rather than patient perspectives and inadequately address patient needs, thus limiting their adoption by patients. Consideration given to patients as stakeholders in the development of such technologies may improve adoption, efficacy, and consumer health information technology resource allocation.

objectiveThe aims of this paper were to measure patient interest in different health system consumer health information technology apps and determine the influence of patient characteristics on consumer health information technology interest.

methodsPatients seen at the Cleveland Clinic Neurological Institute were electronically surveyed on their interest in using different consumer health information technology apps. A self-efficacy scale, Patient Health Questionnaire-9 depression screen, and EuroQol 5 dimensions health-related quality of life scale were also completed by patients. Logistic regression was used to determine the influence of patient characteristics on interest in consumer health information technology in the categories of self-management, education, and communication.

resultsThe majority of 3852 patient respondents had an interest in all technology categories assessed in the survey. The highest interest was in apps that allow patients to ask questions of providers (3476/3852, 90.24%) and to schedule appointments (3211/3839, 83.64%). Patient interest in consumer health information technology was significantly associated with greater depression symptoms, worse quality of life, greater health self-efficacy, and smartphone ownership (P<.001 for all listed).

conclusionsPatients should be viewed as active stakeholders in consumer health information technology development and their perspectives should consistently guide development efforts. Health systems should consider focusing on consumer health information technologies that assist patients in scheduling appointments and asking questions of providers. Patients with depression should also be considered for targeted consumer health information technology implementation. Health self-efficacy is a valid predictor of consumer health information technology interest and may play a role in the utilization of consumer health information technologies. Health systems, broadly, should put forth greater effort to understand the needs and interests of patients in the consumer health information technology development process. Consumer health information technology design and implementation may be improved by understanding which technologies patients want.

Indexed as

Consumer Health InformationFemaleHumansMaleMedical InformaticsSurveys and QuestionnairesTelemedicineconsumer health informaticsmedical informaticspatient-centered careself efficacyself-managementtelemedicine

Identifiers

PMID29674312
PMCPMC6004033
OpenAlexW2800947025

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.