Evidence map›Paper›PMID 30338474›Full record

ArticleJournal of general internal medicine2019

Effect on VA Patient Satisfaction of Provider's Use of an Integrated Viewer of Multiple Electronic Health Records.

Aaron Legler, Megan Price, Megha Parikh, Jonathan R Nebeker, Merry C Ward, Linda Wedemeyer, Steven D Pizer

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  4. Factors Associated with Online Patient Portal Utilization Experience in an Arkansas Phone Survey.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
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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

7 authors at 4 institutions in 1 country.

Aaron LeglerPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, US Department of Veterans Affairs, Boston, MA, USA.
Megan PricePartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, US Department of Veterans Affairs, Boston, MA, USA.
Megha ParikhPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, US Department of Veterans Affairs, Boston, MA, USA.
Jonathan R NebekerDepartment of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Merry C WardOffice of Health Informatics, US Department of Veterans Affairs, Los Angeles, CA, USA.
Linda WedemeyerOffice of Health Informatics, US Department of Veterans Affairs, Los Angeles, CA, USA.
Steven D PizerPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, US Department of Veterans Affairs, Boston, MA, USA. pizer@bu.edu.
United States Department of Veterans Affairs · USBoston University · USVA Boston Healthcare System · USVA Salt Lake City Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine associations between patient perceptions that their provider was knowledgeable of their medical history and clinicians' early adoption of an application that presents providers with an integrated longitudinal view of a patient's electronic health records (EHR) from multiple healthcare systems.

methodThis retrospective analysis utilizes provider audit logs from the Veterans Health Administration Joint Legacy Viewer (JLV) and patient responses to the Survey of Patient Healthcare Experiences Patient-Centered Medical Home (SHEP/PCMH) patient satisfaction survey (FY2016) to assess the relationship between the primary care provider being an early adopter of JLV and patient perception of the provider's knowledge of their medical history. Multivariate logistic regression models were used to control for patient age, race, sex education, health status, duration of patient-provider relationship, and provider characteristics.

resultsThe study used responses from 203,903 patients to the SHEP-PCMH survey in FY2016 who received outpatient primary care services from 11,421 unique providers. Most (91%) clinicians had no JLV utilization in the 6 months prior to the studied patient visit. Controlling for patient demographics, length of the patient-provider relationship, and provider and facility characteristics, being an early adopter of the JLV system was associated with a 14% (adj OR 1.14, p < 0.000) increased odds that patients felt their provider was knowledgeable about their medical history. When evaluating the interaction between duration of patient-provider relationship and being an early adopter of JLV, a greater effect was seen with patient-provider relationships that were greater than 3 years (adj OR 1.23, p < 0.000), compared to those less than 3 years.

conclusionsIncreasing the interoperability of medical information systems has the potential to improve both patient care and patient experience of care. This study demonstrates that early adopters of an integrated view of electronic health records from multiple delivery systems are more likely to have their patients report that their clinician was knowledgeable of their medical history. With provider payments often linked to patient satisfaction performance metrics, investments in interoperability may be worthwhile.

Indexed as

Health Care SurveysAdultAgedAged, 80 and overAmbulatory CareCross-Sectional StudiesElectronic Health RecordsFemaleHumansMaleMiddle AgedPatient SatisfactionPractice Patterns, Physicians'Primary Health CareRetrospective StudiesUnited Stateselectronic health record (EHR)electronic medical record (EMR)health information exchange (HIE)health information technology (HIT)interoperabilitypatient satisfaction

Identifiers

PMID30338474
PMCPMC6318162
OpenAlexW2895900959

What OpenQuestion holds

Textmetadata
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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.