Evidence map›Paper›PMID 35058264›Full record

ArticleBMJ open2022

Socioeconomic deprivation, age and language are barriers to accessing personal health records: a cross-sectional study of a large hospital-based personal health record system.

Rachel Chapman, Shamil Haroon, Nikita Simms-Williams, Neeraj Bhala, Foyzal Miah, Krishnarajah Nirantharakumar, James Ferguson

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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  3. Article
  4. Article
  5. Review
  6. Review
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

7 authors.

Rachel ChapmanUniversity of Birmingham Institute of Applied Health Research, Birmingham, UK.
Shamil HaroonUniversity of Birmingham Institute of Applied Health Research, Birmingham, UK.ORCID 0000-0002-0096-1413
Nikita Simms-WilliamsUniversity of Birmingham Institute of Applied Health Research, Birmingham, UK n.simms-williams@bham.ac.uk.ORCID 0000-0002-4926-1995
Neeraj BhalaUniversity of Birmingham Institute of Applied Health Research, Birmingham, UK.
Foyzal MiahMedicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Krishnarajah NirantharakumarUniversity of Birmingham Institute of Applied Health Research, Birmingham, UK.
James FergusonMedicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.

Funding

Medical Research Council MR/S003878/1
6 · The paper itself

Abstract

objectivesTo investigate barriers to accessing a hospital-based personal health record (PHR) system.

designRetrospective cross-sectional study.

settingThis study was conducted in a large secondary and tertiary acute care trust in Birmingham, UK.

participantsData were collected from 28 637 patients who attended liver medicine, diabetes, renal medicine or endocrinology specialist outpatient clinics from 1 June 2017 to 31 May 2018. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was sign up to and activation of the PHR. The secondary outcomes were the use of the PHR, defined as the number of logons and frequency of access of specific PHR functions.

results8070 patients (28.2%) were signed up to the PHR and 4286 patients (53.1% of those signed up) went on to activate their PHR account. Patients aged 75 years and older were significantly less likely to be signed up (adjusted OR, aOR 0.40, 95% CI 0.36 to 0.44) or to activate (aOR 0.39, 0.32 to 0.47) their PHR than patients aged 35-54. Patients who did not need an interpreter were more likely to be signed up (aOR 1.63, 95% CI 1.33 to 1.99) and to activate (aOR 3.16, 95% CI 1.96 to 5.09) their PHR. Patients living in the least deprived areas were more than twice as likely to be signed up (aOR 2.31, 95% CI 2.04 to 2.63), and were three times more likely to activate their PHR (aOR 2.99, 95% CI 2.40 to 3.71), than those in the most deprived.

conclusionSocioeconomic deprivation, older age and non-English language were significant barriers to accessing a hospital-based PHR. Strategies are needed to account for these factors to ensure that PHRs do not widen health inequalities.

Indexed as

Health Records, PersonalLanguageAdultAgedCross-Sectional StudiesElectronic Health RecordsHospitalsHumansMiddle AgedRetrospective StudiesSocioeconomic Factorsbiotechnology & bioinformaticshealth informaticspublic health

Identifiers

PMID35058264
PMCPMC8783813

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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.