Cited by 179Occupational Health and BurnoutHealthcare professionals’ stress and burnoutNursing education and management

Nurse Burnout, Nurse‐Reported Quality of Care, and Patient Outcomes in Thai Hospitals

Nantsupawat, Apiradee, Nantsupawat, Raymoul, Kunaviktikul, Wipada, Turale, Sue, Poghosyan, Lusine·2016·Journal of Nursing Scholarship

Abstract

Purpose: The purpose of this study was to investigate the effect of nurse burnout on nurse‐reported quality of care and patient adverse events and outcomes in Thai hospitals. Methods: Cross‐sectional analysis of data from 2,084 registered nurses working in 94 community hospitals across Thailand. Data were collected through survey questionnaire, including the Maslach Burnout Inventory (MBI), which measures of nurse perceived quality of care and patient outcomes. Multiple logistic regression modeling was performed to explore associations between nurse burnout on quality of care and patient outcomes. Findings: Thirty‐two percent of nurses reported high emotional exhaustion, 18% high depersonalization, and 35% low personal accomplishment. In addition, 16% of nurses rated quality of care on their work unit as fair or poor, 5% reported patient falls, 11% reported medication errors, and 14% reported infections. All three subscales of the MBI were associated with increased reporting of fair or poor quality of care, patient falls, medication errors, and infections. Every unit of increasing emotional exhaustion score was associated with a 2.63 times rise in reporting fair or poor quality of care, a 30% increase in patient falls, a 47% increase in medication errors, and a 32% increase in infection. Conclusions: Findings clearly indicate that nurse burnout is associated with increased odds of reporting negative patient outcomes. Implementing interventions to reduce nurse burnout is critical to improving patient care in Thai hospitals. Clinical Relevance: Hospital administrators, nurse managers, and health leaders urgently need to create favorable work environments supporting nursing practice in order to reduce burnout and improve quality of care.

Integrity signals

Registry

Crossref · 10.1111/jnu.12187

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • High Emotional Exhaustion, high Depersonalisation, and low Personal Accomplishment are associated with poor quality of care.

    “Two studies in diverse samples and settings reported that high Emotional Exhaustion, high Depersonalisation, and low Personal Accomplishment were associated with poor quality of care [109, 110]”

    From Burnout in nursing: a theoretical review. (2020) · cites this paper as [109]

  • Depersonalisation and low Personal Accomplishment are significant predictors of patient falls in one study.

    “Depersonalisation and low Personal Accomplishment were significant predictors in one study [109]”

    From Burnout in nursing: a theoretical review. (2020) · cites this paper as [109]

  • All three MBI dimensions predict medication errors in one study.

    “All three MBI dimensions predicted medication errors in one study [109]”

    From Burnout in nursing: a theoretical review. (2020) · cites this paper as [109]

  • High scores in Emotional Exhaustion and Depersonalisation predict infections.

    “High scores in Emotional Exhaustion and Depersonalisation predicted infections [109]”

    From Burnout in nursing: a theoretical review. (2020) · cites this paper as [109]

Cites

Flagged first, then by citations

1 of the 39 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Nantsupawat, A., Nantsupawat, R., Kunaviktikul, W., Turale, S., & Poghosyan, L.
Affiliations
  • Chiang Mai University (TH)
  • <i>Tau Nu</i>, Professor, Faculty of Nursing Chiang Mai University Chiang Mai Thailand
  • Columbia University (US)
Corresponding author
Nantsupawat, Apiradee
Venue
Journal of Nursing Scholarship
Publisher
Wiley
Published
2015-12-09
Volume
48
Issue
1
Pages
83-90
ISSN
  • 0363-2792 (ISSN-L)
  • 1527-6546
  • 1547-5069
OpenAlex
W2344150632
Cited by
179
References
39
Citations by year
2026: 8 · 2025: 12 · 2024: 16 · 2023: 23 · 2022: 22 · 2021: 28 · 2020: 27 · 2019: 16 · 2018: 11 · 2017: 15 · 2016: 1
FWCI
28.31
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Nursing Scholarship (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Chiang Mai University
  • Bureau of Policy and Strategy, Ministry of Public Health
Topics
  • Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Burnout
  • Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
  • Health Sciences › Nursing › Research and Theory › Nursing education and management
Keywords
nurse burnout, emotional exhaustion, depersonalization, personal accomplishment, quality of care, patient falls, medication errors, nosocomial infections, community hospitals, nursing work environment
MeSH terms
Adult, Burnout, Professional, Cross-Sectional Studies, Female, Hospitals, Community, Humans, Male, Nursing Staff, Hospital, Quality of Health Care, Surveys and Questionnaires, Thailand, Logistic Models, Patient Outcome Assessment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review