Evidence map›Paper›PMID 22363761›Full record

Trial reportPloS one2012

A cross-sectional study of barriers to personal health record use among patients attending a safety-net clinic.

Joan F Hilton, Lynsey Barkoff, Olivia Chang, Lindsay Halperin, Neda Ratanawongsa, Urmimala Sarkar, Yan Leykin, Ricardo F Muñoz, David H Thom, James S Kahn

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Interventions to increase patient portal use in vulnerable populations: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
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  9. Is research on patient portals attuned to health equity? A scoping review.Journal of the American Medical Informatics Association : JAMIA · 2019
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  19. Use of web-based shared medical records among patients with HIV.The American journal of managed care · 2013
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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

10 authors.

Joan F HiltonDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America. joan@biostat.ucsf.edu
Lynsey Barkoff
Olivia Chang
Lindsay Halperin
Neda Ratanawongsa
Urmimala Sarkar
Yan Leykin
Ricardo F Muñoz
David H Thom
James S Kahn

Funding

Randomized controlled trial embedded in an electronic health recordR18HS017784 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAHN, JAMES S · 2008 to 2010
$1.2M
Adherence Improvement and Measurement- AIM- System. Challenge Topic 10-MH-101RC1MH088341 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAHN, JAMES S · 2009 to 2010
$998k
Mentoring HIV and Translational Scientists and Developing an EMR Based ResearchK24RR024369 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAHN, JAMES S · 2007 to 2011
$553k
AHRQ HHS R18 HS017784AHRQ HHS R18 HS017784-01NCRR NIH HHS K24 RR024369NCRR NIH HHS K24RR024369NIMH NIH HHS MH088341NIMH NIH HHS RC1 MH088341
6 · The paper itself

Abstract

backgroundPersonal health records (PHR) may improve patients' health by providing access to and context for health information. Among patients receiving care at a safety-net HIV/AIDS clinic, we examined the hypothesis that a mental health (MH) or substance use (SU) condition represents a barrier to engagement with web-based health information, as measured by consent to participate in a trial that provided access to personal (PHR) or general (non-PHR) health information portals and by completion of baseline study surveys posted there.

methodsParticipants were individually trained to access and navigate individualized online accounts and to complete study surveys. In response to need, during accrual months 4 to 12 we enhanced participant training to encourage survey completion with the help of staff. Using logistic regression models, we estimated odds ratios for study participation and for survey completion by combined MH/SU status, adjusted for levels of computer competency, on-study training, and demographics.

resultsAmong 2,871 clinic patients, 70% had MH/SU conditions, with depression (38%) and methamphetamine use (17%) most commonly documented. Middle-aged patients and those with a MH/SU condition were over-represented among study participants (N = 338). Survey completion was statistically independent of MH/SU status (OR, 1.85 [95% CI, 0.93-3.66]) but tended to be higher among those with MH/SU conditions. Completion rates were low among beginner computer users, regardless of training level (<50%), but adequate among advanced users (>70%).

conclusionsAmong patients attending a safety-net clinic, MH/SU conditions were not barriers to engagement with web-based health information. Instead, level of computer competency was useful for identifying individuals requiring substantial computer training in order to fully participate in the study. Intensive on-study training was insufficient to enable beginner computer users to complete study surveys.

Indexed as

Health Records, PersonalConsumer Health InformationCross-Sectional StudiesFemaleHealth SurveysHumansInternetMaleMental DisordersMental Health ServicesMiddle AgedSubstance-Related Disorders

Identifiers

PMID22363761
PMCPMC3282785

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.