Evidence map›Paper›PMID 34762063›Full record

ArticleJournal of medical Internet research2021

Determinants of Use of the Care Information Exchange Portal: Cross-sectional Study.

Ana Luisa Neves, Katelyn R Smalley, Lisa Freise, Paul Harrison, Ara Darzi, Erik K Mayer

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 2 syntheses or guidelines 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

6 authors.

Ana Luisa NevesPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College, London, United Kingdom.ORCID 0000-0002-7107-7211
Katelyn R SmalleyPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College, London, United Kingdom.ORCID 0000-0002-9997-2453
Lisa FreisePatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College, London, United Kingdom.ORCID 0000-0002-3558-0063
Paul HarrisonImperial National Health Service Healthcare Trust, London, United Kingdom.ORCID 0000-0002-1760-448X
Ara DarziPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College, London, United Kingdom.ORCID 0000-0001-7815-7989
Erik K MayerPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College, London, United Kingdom.ORCID 0000-0002-5509-4580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSharing electronic health records with patients has been shown to improve patient safety and quality of care. Patient portals represent a convenient tool to enhance patient access to their own health care data. However, the success of portals will only be possible through sustained adoption by its end users: the patients. A better understanding of the characteristics of users and nonusers is critical for understanding which groups remain excluded from using such tools.

objectiveThis study aims to identify the determinants of the use of the Care Information Exchange, a shared patient portal program in the United Kingdom.

methodsA cross-sectional study was conducted using a web-based questionnaire. Information collected included age, gender, ethnicity, educational level, health status, postcode, and digital literacy. Registered individuals were defined as having had an account created in the portal, independent of their actual use of the platform; users were defined as having ever used the portal. Multivariate logistic regression was used to model the probability of being a user. Statistical analysis was performed in R and Tableau was used to create maps of the proportion of Care Information Exchange users by postcode area.

resultsA total of 1083 participants replied to the survey (186% of the estimated minimum target sample). The proportion of users was 61.58% (667/1083). Among these, most (385/667, 57.7%) used the portal at least once a month. To characterize the system's users and nonusers, we performed a subanalysis of the sample, including only participants who had provided at least information regarding gender and age. The subanalysis included 650 individuals (389/650, 59.8% women; 551/650, 84.8% >40 years). Most participants were White (498/650, 76.6%) and resided in London (420/650, 64.6%). Individuals with a higher educational degree (undergraduate and professional, or postgraduate and higher) had higher odds of being a portal user (adjusted odds ratio [OR] 1.58, 95% CI 1.04-2.39 and OR 2.38, 95% CI 1.42-4.02, respectively) compared with those with a secondary degree or below. Higher digital literacy scores (≥30) were associated with higher odds of being a user (adjusted OR 2.96, 95% CI 2.02-4.35). Those with a good overall health status had lower odds of being a user (adjusted OR 0.58, 95% CI 0.37-0.91).

conclusionsThis work adds to the growing body of evidence highlighting the importance of educational aspects (educational level and digital literacy) in the adoption of patient portals. Further research should not only describe but also systematically address these inequalities through patient-centered interventions aimed at reducing the digital divide. Health care providers and policy makers must partner in investing and delivering strategic programs that improve access to technology and digital literacy in an effort to improve digital inclusion and reduce inequities in the delivery of care.

Indexed as

Patient PortalsCross-Sectional StudiesDelivery of Health CareElectronic Health RecordsFemaleHumansMaleSurveys and Questionnaireselectronic health recordspatient participationpatient portals

Identifiers

PMID34762063
PMCPMC8663598

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.