Evidence map›Paper›PMID 35512624›Full record

ArticleInternational journal of medical informatics2022

Change in nurses' psychosocial characteristics pre- and post-electronic medical record system implementation coinciding with the SARS-CoV-2 pandemic: pre- and post-cross-sectional surveys.

Rebecca M Jedwab, Alison M Hutchinson, Elizabeth Manias, Rafael A Calvo, Naomi Dobroff, Bernice Redley

Abstract read
In one paragraph

Article in International journal of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Participation in the digital transformation of healthcare: a review of qualitative studies.International journal of health care quality assurance · 2024
    Pooled it
  3. Pooled it
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  6. Review
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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

6 authors.

Rebecca M JedwabDeakin University School of Nursing and Midwifery, Centre for Quality and Patient Safety Research, Institute for Health Transformation, 221 Burwood Highway, Burwood, Melbourne, Victoria 3125 Australia; Monash Health Nursing and Midwifery Informatics, 246 Clayton Road, Clayton, Melbourne, Victoria 3168 Australia. Electronic address: jedwabr@deakin.edu.au.
Alison M HutchinsonDeakin University School of Nursing and Midwifery, Centre for Quality and Patient Safety Research, Institute for Health Transformation, 221 Burwood Highway, Burwood, Melbourne, Victoria 3125 Australia; Monash Health, Nursing and Midwifery, 246 Clayton Road, Clayton, Melbourne, Victoria 3168 Australia. Electronic address: alison.hutchinson@deakin.edu.au.
Elizabeth ManiasDeakin University School of Nursing and Midwifery, Centre for Quality and Patient Safety Research, Institute for Health Transformation, 221 Burwood Highway, Burwood, Melbourne, Victoria 3125 Australia. Electronic address: emanias@deakin.edu.au.
Rafael A CalvoImperial College Faculty of Engineering, Dyson School of Design Engineering, Imperial College Rd, South Kensington, London SW7 9EG, United Kingdom. Electronic address: r.calvo@imperial.ac.uk.
Naomi DobroffMonash Health Nursing and Midwifery Informatics, 246 Clayton Road, Clayton, Melbourne, Victoria 3168 Australia; Deakin University School of Nursing and Midwifery, 221 Burwood Highway, Burwood, Melbourne, Victoria 3125 Australia. Electronic address: naomi.dobroff@monashhealth.org.
Bernice RedleyDeakin University School of Nursing and Midwifery, Centre for Quality and Patient Safety Research, Institute for Health Transformation, 221 Burwood Highway, Burwood, Melbourne, Victoria 3125 Australia; Monash Health, Nursing and Midwifery, 246 Clayton Road, Clayton, Melbourne, Victoria 3168 Australia. Electronic address: bernice.redley@deakin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impacts of electronic medical record implementation on nurses, the largest healthcare workforce, have not been comprehensively examined. Negative impacts on nurses have implications for quality of patient care delivery and workforce retention.

objectiveTo investigate changes in nurses' well-being, intention to stay, burnout, work engagement, satisfaction, motivation and experience using technology pre- and post-implementation of an organisation-wide electronic medical record in Victoria, Australia.

methodsThe natural experiment comprised an electronic medical record system implementation across six hospitals of a large tertiary healthcare organisation. Cross-sectional surveys were collected pre-electronic medical record implementation prior to the SARS-CoV-2 pandemic in 2019, and 18-months post-electronic medical record implementation during the pandemic in 2020, and findings compared.

resultsA total of 942 surveys were analysed (550 pre-electronic medical record (response rate 15.52%) and 392 post-electronic medical record (response rate 9.50%)). Post-electronic medical record, nurses' work satisfaction (r = 0.23, p=<0.001), intention to stay (r = 0.11, p = 0.001) and well-being (r = 0.17, p=<0.001) decreased. Nurses' perceived competence increased (r = 0.10, p = 0.002) despite decreased autonomy (r = 0.10, p = 0.003). Two of three dimensions of work engagement worsened (vigour r = 0.13, p=<0.001; dedication r = 0.13, p=<0.001) and all dimensions of burnout increased (exhaustion r = 0.08, p = 0.012, cynicism r = 0.07, p = 0.04 and reduced efficiency r = 0.32, p=<0.001). Nurses reported more burnout symptoms (95% CI 4.6-4.7%, p = 0.036), were less engaged (95% CI 49.6-49.9%, p=<0.001) and career trajectory satisfaction decreased (r = 0.15, p=<0.001). Matched data from 52 nurses showed changes in the same direction for all items except career trajectory satisfaction, hence validated findings from the larger unmatched sample.

conclusionsImplementation of an electronic medical record immediately followed by the SARS-CoV-2 pandemic was associated with negative changes in nurses' well-being, intention to stay, burnout, work engagement and satisfaction.

Indexed as

Burnout, ProfessionalCOVID-19NursesNursing Staff, HospitalCross-Sectional StudiesElectronic Health RecordsHumansJob SatisfactionPandemicsSARS-CoV-2Surveys and QuestionnairesVictoriaBurnoutInformation technologyNursesPatient careSARS-CoV-2Well-beingWork engagementWork satisfaction

Identifiers

PMID35512624
PMCPMC9052633

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.