Evidence map›Paper›PMID 31593546›Full record

ArticleJournal of medical Internet research2019

Difference Between Users and Nonusers of a Patient Portal in Health Behaviors and Outcomes: Retrospective Cohort Study.

Jing Huang, Yong Chen, J Richard Landis, Kevin B Mahoney

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 6% of its field
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Jing Huang *Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-6133-6988
Yong Chen *Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-0835-0788
J Richard LandisPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0001-8099-0988
Kevin B MahoneyPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0001-9930-2575
University of Pennsylvania · USApplied Mathematics (United States) · US

Funding

Transforming mental health delivery through behavioral economics and implementation scienceP50MH113840 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MANDELL, DAVID S · 2017 to 2020
$6.6M
Dynamic learning for post-vaccine event prediction using temporal information in VAERSR01AI130460 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CHEN, YONG, TAO, CUI · 2017 to 2021
$3.4M
Machine Learning Prediction of Cancer SusceptibilityR01LM009012 · NLM · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H. · 2006 to 2014
$3.3M
Characterizing Disease Trajectory for Improving Treatment in Pediatric Crohn's DiseaseR01HD099348 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI HUANG, JING · 2019 to 2023
$3.2M
Biomedical Computing and Informatics Strategies for Infectious Disease ResearchR01AI116794 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H. · 2016 to 2020
$2.9M
A General Framework to Account for Outcome Reporting Bias in Systematic ReviewsR01LM012607 · NLM · UNIVERSITY OF PENNSYLVANIA · PI CHEN, YONG · 2017 to 2020
$1.4M
NIAID NIH HHS R01 AI116794NIAID NIH HHS R01 AI130460NICHD NIH HHS R01 HD099348NIMH NIH HHS P50 MH113840NLM NIH HHS R01 LM009012NLM NIH HHS R01 LM012607
6 · The paper itself

Abstract

backgroundPatient portals are frequently used in modern health care systems as an engagement and communication tool. An increased focus on the potential value of these communication channels to improve health outcomes is warranted.

objectiveThis paper aimed to quantify the impact of portal use on patients' preventive health behavior and chronic health outcomes.

methodsWe conducted a retrospective, observational cohort study of 10,000 patients aged 50 years or older who were treated at the University of Pennsylvania Health System (UPHS) from September 1, 2014, to October 31, 2016. The data were sourced from the UPHS electronic health records. We investigated the association between patient portal use and patients' preventive health behaviors or chronic health outcomes, controlling for confounders using a novel cardinality matching approach based on propensity scoring and a subsequent bootstrapping method to estimate the variance of association estimates.

resultsPatient-level characteristics differed substantially between portal users, comprising approximately 59.32% (5932/10000) of the cohort, and nonusers. On average, users were more likely to be younger (63.46 years for users vs 66.08 years for nonusers), white (72.77% [4317/5932] for users vs 52.58% [2139/4068] for nonusers), have commercial insurance (60.99% [3618/5932] for users vs 40.12% [1632/4068] for nonusers), and have higher annual incomes (US $74,172/year for users vs US $62,940/year for nonusers). Even after adjusting for these potential confounders, patient portal use had a positive and clinically meaningful impact on patients' preventive health behaviors but not on chronic health outcomes.

conclusionsThis paper contributes to the understanding of the impact of patient portal use on health outcomes and is the first study to identify a meaningful subgroup of patients' health behaviors that improved with portal use. These findings may encourage providers to promote portal use to improve patients' preventive health behaviors.

Indexed as

AgedCohort StudiesElectronic Health RecordsFemaleHealth BehaviorHumansMaleMiddle AgedPatient PortalsRetrospective Studieshealth behaviorhealth care providershealth statuspatient portals

Identifiers

PMID31593546
PMCPMC6914108
OpenAlexW2954878370

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.