Evidence map›Paper›PMID 26912538›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Impact of electronic personal health record use on engagement and intermediate health outcomes among cardiac patients: a quasi-experimental study.

Tammy Toscos, Carly Daley, Lisa Heral, Riddhi Doshi, Yu-Chieh Chen, George J Eckert, Robert L Plant, Michael J Mirro

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 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

28 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  11. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022
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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

8 authors.

Tammy ToscosParkview Research Center, Parkview Health, Fort Wayne, Indiana, USA Indiana University School of Informatics and Computing, Indianapolis, Indiana, USA tammy.toscos@parkview.com.
Carly DaleyParkview Research Center, Parkview Health, Fort Wayne, Indiana, USA.
Lisa HeralParkview Research Center, Parkview Health, Fort Wayne, Indiana, USA.
Riddhi DoshiDepartment of Community Medicine, University of Connecticut, Hartford, Connecticut, USA.
Yu-Chieh ChenCollege of Pharmacy, Manchester University, Fort Wayne, Indiana, USA.
George J EckertDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Robert L PlantParkview Research Center, Parkview Health, Fort Wayne, Indiana, USA Indiana University School of Medicine, Fort Wayne, Indiana, USA.
Michael J MirroParkview Research Center, Parkview Health, Fort Wayne, Indiana, USA Indiana University School of Medicine, Fort Wayne, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the impact of tethered personal health record (PHR) use on patient engagement and intermediate health outcomes among patients with coronary artery disease (CAD).

methodsAdult CAD patients (N = 200) were enrolled in this prospective, quasi-experimental observational study. Each patient received a PHR account and training on its use. PHRs were populated with information from patient electronic medical records, hosted by a Health Information Exchange. Intermediate health outcomes including blood pressure, body mass index, and hemoglobin A1c (HbA1c) were evaluated through electronic medical record review or laboratory tests. Trends in patient activation measure® (PAM) were determined through three surveys conducted at baseline, 6 and 12 months. Frequency of PHR use data was collected and used to classify participants into groups for analysis: Low, Active, and Super users.

resultsThere was no statistically significant improvement in patient engagement as measured by PAM scores during the study period. HbA1c levels improved significantly in the Active and Super user groups at 6 months; however, no other health outcome measures improved significantly. Higher PAM scores were associated with lower body mass index and lower HbA1c, but there was no association between changes in PAM scores and changes in health outcomes. Use of the PHR health diary increased significantly following PHR education offered at the 6-month study visit and an elective group refresher course.

conclusionsThe study findings show that PHR use had minimal impact on intermediate health outcomes and no significant impact on patient engagement among CAD patients.

Indexed as

Health Records, PersonalAdultAgedAged, 80 and overBody Mass IndexComputer LiteracyCoronary Artery DiseaseDiagnostic Self EvaluationElectronic Health RecordsFemaleGlycated HemoglobinHealth StatusHumansInsurance, HealthMaleMiddle AgedGlycated Hemoglobinhemoglobin A1c protein, humanand patient engagement.coronary artery diseasehealth outcomespatient activation measurepatient portalpersonal health records

Identifiers

PMID26912538
PMCPMC7814924

What OpenQuestion holds

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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 OpenQuestion graph.