Evidence map›Paper›PMID 35139562›Full record

ArticleApplied clinical informatics2022

Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.

Consuela C Yousef, Teresa M Salgado, Ali Farooq, Keisha Burnett, Laura E McClelland, Laila C Abu Esba, Hani S Alhamdan, Sahal Khoshhal, Ibrahim Aldossary, Omar A Alyas and 1 more

Abstract read
In one paragraph

Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

11 authors.

Consuela C YousefPharmaceutical Care Department, Ministry of National Guard-Health Affairs, Dammam, Saudi Arabia.
Teresa M SalgadoDepartment of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States.
Ali FarooqDepartment of Computing, University of Turku, Turku, Finland.
Keisha BurnettDepartment of Clinical Laboratory Sciences, Cytopathology Practice Program, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Laura E McClellandDepartment of Health Administration, Virginia Commonwealth University, Richmond, Virginia, United States.
Laila C Abu EsbaKing Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Hani S AlhamdanKing Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Sahal KhoshhalKing Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Ibrahim AldossaryKing Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Omar A AlyasCollege of Medicine, Royal College of Surgeons in Ireland-Medical University of Bahrain, Kingdom of Bahrain.
Jonathan P DeShazoDepartment of Health Administration, Virginia Commonwealth University, Richmond, Virginia, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonal health records (PHRs) can facilitate patient-centered communication through the secure messaging feature. As health care organizations in the Kingdom of Saudi Arabia implement PHRs and begin to implement the secure messaging feature, studies are needed to evaluate health care providers' acceptance.

objectiveThe aim of this study was to identify predictors of health care providers' behavioral intention to support the addition of a secure messaging feature in PHRs using an adapted model of the Unified Theory of Acceptance and Use of Technology as the theoretical framework.

methodsUsing a cross-sectional survey design, data on acceptance of secure messaging features in PHRs were collected from health care providers working at the Ministry of National Guard Health Affairs between April and May 2021. The proposed model was tested using partial least squares structural equation modeling in SmartPLS.

resultsThere were 224 participants: female (66.5%), 40 to 49 years of age (39.9%), nurses (45.1%), and those working more than 10 years in the organization (68.8%). Behavioral intention to support the addition of a secure messaging feature was significantly influenced by performance expectancy (

conclusionHealth care professionals will support introducing a secure messaging feature in the PHRs if they serve the intended purpose. Considering attitude also plays a significant role in acceptance, it is necessary to arrange for training and support, so that caregivers, health care providers, and the patients become familiar with the benefits and expected outcomes of using the feature.

Indexed as

Health Records, PersonalCommunicationCross-Sectional StudiesFemaleHealth PersonnelHumansTechnology

Identifiers

PMID35139562
PMCPMC8828451

What OpenQuestion holds

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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.