Literature DB >> 34129477

Describing the Mental Health State of Nurses in British Columbia: A Province-Wide Survey Study.

Farinaz Havaei1, Andy Ma2, Michael Leiter3, Adriane Gear4.   

Abstract

A cross-sectional province-wide survey study of 3,978 British Columbia (BC) nurses was conducted to explore the mental health state of the nursing workforce in BC. About one third of nurses reported depression and anxiety; about half reported symptoms of post-traumatic stress disorder and at least one third reported high levels of one or more dimensions of burnout. Mental health problems were about 1.5 to 3 times more prevalent among BC nurses compared to their peers nationally. Improving nurses' mental health requires multi-factorial and multi-level efforts. Evidence-based and workplace-specific policies and interventions that better support nurses at risk are recommended.
Copyright © 2021 Longwoods Publishing.

Entities:  

Mesh:

Year:  2021        PMID: 34129477      PMCID: PMC8200831          DOI: 10.12927/hcpol.2021.26500

Source DB:  PubMed          Journal:  Healthc Policy        ISSN: 1715-6572


  29 in total

1.  Nurse burnout and quality of care: cross-national investigation in six countries.

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Journal:  Res Nurs Health       Date:  2010-08       Impact factor: 2.228

2.  Increased prevalence of post-traumatic stress disorder symptoms in critical care nurses.

Authors:  Meredith L Mealer; April Shelton; Britt Berg; Barbara Rothbaum; Marc Moss
Journal:  Am J Respir Crit Care Med       Date:  2006-12-21       Impact factor: 21.405

3.  Addressing nonresponse bias in postal surveys.

Authors:  Shannon E MacDonald; Christine V Newburn-Cook; Donald Schopflocher; Solina Richter
Journal:  Public Health Nurs       Date:  2009 Jan-Feb       Impact factor: 1.462

4.  The National Standard of Psychological Health and Safety in the Workplace: A Psychometric and Descriptive Study of the Nursing Workforce in British Columbia Hospitals.

Authors:  Farinaz Havaei; Minjeong Park; Oscar L Olvera Astivia
Journal:  Can J Nurs Res       Date:  2021-01-12

Review 5.  The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review.

Authors:  Kurt Kroenke; Robert L Spitzer; Janet B W Williams; Bernd Löwe
Journal:  Gen Hosp Psychiatry       Date:  2010-05-07       Impact factor: 3.238

6.  Nurses' reports of working conditions and hospital quality of care in 12 countries in Europe.

Authors:  Linda H Aiken; Douglas M Sloane; Luk Bruyneel; Koen Van den Heede; Walter Sermeus
Journal:  Int J Nurs Stud       Date:  2012-12-17       Impact factor: 5.837

7.  Depression in Registered Nurses: A State of the Science.

Authors:  Arica A Brandford; Deborah B Reed
Journal:  Workplace Health Saf       Date:  2016-10       Impact factor: 1.413

Review 8.  Prevalence of depression among nursing students: A systematic review and meta-analysis.

Authors:  Yi-Jung Tung; Kenneth K H Lo; Roger C M Ho; Wai San Wilson Tam
Journal:  Nurse Educ Today       Date:  2018-02-09       Impact factor: 3.442

Review 9.  Depression among Iranian nurses: A systematic review and meta-analysis.

Authors:  Sahar Sadat Saeedi Shahri; Ahmad Ghashghaee; Masoud Behzadifar; Nicola Luigi Bragazzi; Meysam Behzadifar; Nasrin Mousavinejad; Mozhgan Sadat Ghaemmohamadi; Faezeh Ebadi; Hesam Seyedin
Journal:  Med J Islam Repub Iran       Date:  2017-12-25

10.  Prevalence and Risk Factors of Depression, Anxiety, and Stress in a Cohort of Australian Nurses.

Authors:  Shamona Maharaj; Ty Lees; Sara Lal
Journal:  Int J Environ Res Public Health       Date:  2018-12-27       Impact factor: 3.390

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  3 in total

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Authors:  Robert Ffrench-O'Carroll; Zahid Sunderani; Roanne Preston; Ulrike Mayer; Arianne Albert; Anthony Chau
Journal:  Can J Anaesth       Date:  2022-06-25       Impact factor: 6.713

2.  Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics.

Authors:  Farinaz Havaei; Maura MacPhee; Andy Ma; Yue Mao
Journal:  Can J Nurs Res       Date:  2022-05-17

3.  Workplace Predictors of Quality and Safe Patient Care Delivery Among Nurses Using Machine Learning Techniques.

Authors:  Farinaz Havaei; Xuejun Ryan Ji; Sheila A Boamah
Journal:  J Nurs Care Qual       Date:  2022 Apr-Jun 01       Impact factor: 1.597

  3 in total

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