Evidence map›Paper›PMID 30224334›Full record

ArticleJournal of medical Internet research2018

Use and the Users of a Patient Portal: Cross-Sectional Study.

Bas Hoogenbosch, Jeroen Postma, Janneke M de Man-van Ginkel, Nicole Am Tiemessen, Johannes Jm van Delden, Harmieke van Os-Medendorp

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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 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 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

59 citing papers in PubMed, 2 syntheses or guidelines 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

6 authors.

Bas HoogenboschDepartment of Information Technology, University Medical Centre Utrecht, Utrecht, Netherlands.ORCID 0000-0001-7108-0165
Jeroen PostmaErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-1317-4873
Janneke M de Man-van GinkelJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands.ORCID 0000-0002-3702-3711
Nicole Am TiemessenDepartment of Information Technology, University Medical Centre Utrecht, Utrecht, Netherlands.ORCID 0000-0002-2906-3377
Johannes Jm van DeldenJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands.ORCID 0000-0002-5530-7275
Harmieke van Os-MedendorpDepartment of Dermatology and Allergology, University Medical Centre Utrecht, Utrecht, Netherlands.ORCID 0000-0003-3300-2101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient portals offer patients access to their medical information and tools to communicate with health care providers. It has been shown that patient portals have the potential to positively impact health outcomes and efficiency of health care. It is therefore important that health care organizations identify the patients who use or do not use the patient portal and explore the reasons in either case. The Unified Theory of Acceptance and Use of Technology (UTAUT) is a frequently used theory for explaining the use of information technology. It consists of the following constructs: performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioral intention to use.

objectiveThis study aimed to explore the prevalence of patient portal use and the characteristics of patients who use or do not use a patient portal. The main constructs of UTAUT, together with demographics and disease- and care-related characteristics, have been measured to explore the predictive factors of portal use.

methodsA cross-sectional study was conducted in the outpatient departments for adult patients of a university hospital in the Netherlands. Following outcomes were included: self-reported portal use, characteristics of users such as demographics, disease- and care-related data, eHealth literacy (modified score), and scores of UTAUT constructs. Descriptive analyses and univariate and multivariate logistic regression were also conducted.

resultsIn the analysis, 439 adult patients were included. Furthermore, 32.1% (141/439) identified as being a user of the patient portal; 31.2% (137/439) indicated as nonusers, but being aware of the existence of the portal; and 36.6% (161/439) as being nonusers not aware of the existence of the portal. In the entire study population, the factors of being chronically ill (odds ratio, OR 1.62, 95% CI 1.04-2.52) and eHealth literacy (modified score; OR 1.12, 95% CI 1.07-1.18) best predicted portal use. In users and nonusers who were aware of the portal, UTAUT constructs were added to the multivariate logistic regression, with chronically ill and modified eHealth literacy sum score. Effort expectancy (OR 13.02, 95% CI 5.68-29.87) and performance expectancy (OR 2.84, 95% CI 1.65-4.90) are shown to significantly influence portal use in this group.

conclusionsApproximately one-third of the patients of a university hospital self-reported using the patient portal; most expressed satisfaction. At first sight, being chronically ill and higher scores on the modified eHealth literacy scale explained portal use. Adding UTAUT constructs to the model revealed that effort expectancy (ease of use and knowledge and skills related to portal use) and performance expectancy (perceived usefulness) influenced portal use. Interventions to improve awareness of the portal and eHealth literacy skills of patients and further integration of the patient portal in usual face-to-face care are needed to increase use and potential subsequent patient benefits.

Indexed as

AdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient PortalsTelemedicineYoung AdulteHealth literacypatient portalsUnified Theory of Acceptance and Use of Technology

Identifiers

PMID30224334
PMCPMC6231740

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.