Evidence map›Paper›PMID 35802410›Full record

ArticleJMIR medical informatics2022

The Power of Patient Engagement With Electronic Health Records as Research Participants.

Jeff Pawelek, Katie Baca-Motes, Jay A Pandit, Benjamin B Berk, Edward Ramos

Abstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 2 syntheses or guidelines 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

5 authors.

Jeff PawelekDigital Trials Center, Scripps Research Translational Institute, La Jolla, CA, United States.ORCID https://orcid.org/0000-0003-1419-6131
Katie Baca-MotesDigital Trials Center, Scripps Research Translational Institute, La Jolla, CA, United States.ORCID https://orcid.org/0000-0002-9156-7111
Jay A PanditDigital Trials Center, Scripps Research Translational Institute, La Jolla, CA, United States.ORCID https://orcid.org/0000-0003-0119-0881
Benjamin B BerkCareEvolution, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-4828-6020
Edward RamosDigital Trials Center, Scripps Research Translational Institute, La Jolla, CA, United States.ORCID https://orcid.org/0000-0003-1675-7094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic health record (EHR) technology has become a central digital health tool throughout health care. EHR systems are responsible for a growing number of vital functions for hospitals and providers. More recently, patient-facing EHR tools are allowing patients to interact with their EHR and connect external sources of health data, such as wearable fitness trackers, personal genomics, and outside health services, to it. As patients become more engaged with their EHR, the volume and variety of digital health information will serve an increasingly useful role in health care and health research. Particularly due to the COVID-19 pandemic, the ability for the biomedical research community to pivot to fully remote research, driven largely by EHR data capture and other digital health tools, is an exciting development that can significantly reduce burden on study participants, improve diversity in clinical research, and equip researchers with more robust clinical data. In this viewpoint, we describe how patient engagement with EHR technology is poised to advance the digital clinical trial space, an innovative research model that is uniquely accessible and inclusive for study participants.

Indexed as

biomedical researchdigital clinical trialdigital health technologyEHRelectronic health recordunderrepresentationunderrepresented in biomedical research

Identifiers

PMID35802410
PMCPMC9308075

What OpenQuestion holds

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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.