Evidence map›Paper›PMID 33534286›Full record

ArticleJournal of the American Association of Nurse Practitioners2021

Use of multifunctional electronic health records and burnout among primary care nurse practitioners.

Cilgy M Abraham, Katherine Zheng, Allison A Norful, Affan Ghaffari, Jianfang Liu, Maxim Topaz, Lusine Poghosyan

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Association of Nurse Practitioners, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.3field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

7 authors at 2 institutions in 1 country.

Cilgy M AbrahamColumbia University School of Nursing, New York, New York.
Katherine Zheng
Allison A Norful
Affan Ghaffari
Jianfang Liu
Maxim Topaz
Lusine Poghosyan
Columbia University · USGTx (United States) · US

Funding

Racial and Ethnic Disparities in Chronic Disease Outcomes and Nurse Practitioner PracticeR01MD011514 · NIMHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI POGHOSYAN, LUSINE · 2017 to 2020
$3.0M
Practice Environments and Electronic Health Records Use in Primary Care: Reducing Nurse Practitioner BurnoutR36HS027290 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABRAHAM, CILGY · 2020 to 2020
$42k
AHRQ HHS R36 HS027290NIMHD NIH HHS R01 MD011514
6 · The paper itself

Abstract

backgroundPrevalence of electronic health records (EHRs) has significantly increased, and EHRs are a known contributor to clinician burnout. However, it is unknown whether the use of multifunctional EHRs is associated with nurse practitioner (NP) burnout in primary care practices. This is a major gap in the literature because 69% of practicing NPs deliver primary care services to patients. PURPOSE: This study aimed to investigate whether the use of multifunctional EHRs is associated with primary care NP burnout.

methodThis study is a secondary analysis of cross-sectional survey data collected from NPs in two states (Pennsylvania and New Jersey). Nurse practitioners completed surveys measuring burnout, use of multifunctional EHRs, demographics, and characteristics of their practice. Use of multifunctional EHRs was operationalized using two items-computerized capabilities and electronic reminder systems. Burnout was measured using a validated, single item asking NPs to self-report their feelings of burnout. A multilevel cox regression model was built to test for associations between the use of multifunctional EHRs and NP burnout.

resultsOf 396 NPs included, 25.3% reported burnout. The use of multifunctional EHRs did not increase primary care NP burnout (risk ratio = 0.30, 95% confidence interval = 0.13-0.71, p = .01). IMPLICATIONS FOR PRACTICE: With 25.3% of NPs burned out, it is imperative to reduce NP burnout. However, computerized capabilities and electronic reminder systems did not contribute to feelings of NP burnout. Future research examining other EHR components is needed to understand which features of the EHR contribute to NP burnout.

Indexed as

Burnout, ProfessionalNurse PractitionersCross-Sectional StudiesElectronic Health RecordsHumansPrimary Health CareSurveys and Questionnaires

Identifiers

PMID33534286
PMCPMC8351449
OpenAlexW3127932593

What OpenQuestion holds

Textmetadata
LicenceTDM
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.