Evidence map›Paper›PMID 35640010›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Relationship between electronic health records strategy and user satisfaction: a longitudinal study using clinicians' online reviews.

Ankita Srivastava, Surya Ayyalasomayajula, Chenzhang Bao, Sezgin Ayabakan, Dursun Delen

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
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 at 3 institutions in 2 countries.

Ankita SrivastavaDepartment of Information and Process Management, Bentley University, Waltham, Massachusetts, USA.
Surya AyyalasomayajulaDepartment of Management Science and Information Systems, Oklahoma State University, Stillwater, Oklahoma, USA.
Chenzhang BaoDepartment of Management Science and Information Systems, Oklahoma State University, Stillwater, Oklahoma, USA.
Sezgin AyabakanDepartment of Management Information Systems, Temple University, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-5803-6178
Dursun DelenDepartment of Management Science and Information Systems, Oklahoma State University, Stillwater, Oklahoma, USA.ORCID 0000-0001-8857-5148
Oklahoma State University · USBentley University · USTemple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe investigated how the electronic health records (EHRs) strategies concerning EHR sourcing and vendor switching impact user satisfaction over time. MATERIALS AND

methodsThis study used a novel longitudinal dataset created by scraping clinicians' Glassdoor.com reviews on 109 US health systems from 2012 to 2017 and combining it with the Healthcare Information and Management Systems Society (HIMSS) database. We performed sentiment analysis of clinician reviews to construct our main dependent variable, user satisfaction. Our main independent variables, EHR single sourcing and vendor switching, were constructed using the HIMSS database.

resultsOur fixed effects model showed that as health systems gain more experience with EHR, a single vendor sourcing strategy was associated with higher user satisfaction. Further, there was no significant impact of vendor switching on user satisfaction.

conclusionThis work adds to the current understanding of EHR-driven clinician burnout using a novel longitudinal dataset. We show how organizational-level EHR strategy can impact user satisfaction and that providers and EHR vendors can mine clinician reviews online to understand their evolving needs and sentiments.

Indexed as

Burnout, ProfessionalElectronic Health RecordsCommerceConsumer BehaviorDatasets as TopicHumansLongitudinal Studiesclinician burnoutelectronic health records (EHRs)Glassdooronline reviewsuser satisfaction

Identifiers

PMID35640010
PMCPMC9382381
OpenAlexW4282942454

What OpenQuestion holds

Textmetadata
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.