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Improving Health of Nurses With Burnout Through Positive Psychological Intervention

An Evaluation of Positive Psychological Intervention on Improving Health of Nurses With Burnout

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03657563
Enrollment
87
Registered
2018-09-05
Start date
2016-01-31
Completion date
2016-12-31
Last updated
2018-09-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Burnout

Brief summary

Burnout is usually regarded as a response to chronic professional stressors like high workload, unfavorable emotion and complex interpersonal relationships. A high prevalence of burnout was found in many countries, and large-scale studies also showed high levels of burnout in Chinese nurses. As a stress-related syndrome, burnout was found to have detrimental influences on both psychological and physical health of nurses. Psychological problems such as depression and insomnia are verified to be associated with burnout. Endocrine dysfunction such as abnormal cortisol secretion rhythm occurred in shift-work nurses. Thyroid dysfunction was increasing and a sample of nurses were diagnosed with thyroid nodules and thyroid hormonal disorder during annual physical examination. Therefore, it is important to take measures to alleviate nurses' burnout to improve health. Positive psychological interventions are defined as treatment methods or intentional activities to enhance person's positive emotions, cognitions and behaviours. In these methods and activities, people are usually required to finish a systematic exercise. According to a recent meta-analysis, Positive psychological interventions showed effectiveness in enhancing participants' well-being and reducing depressive symptoms. Therefore, this study aims to explore whether positive psychological intervention could reduce burnout and improve health of nurses.

Interventions

Participants in the intervention group are required to record three good things every night before sleeping for five days a week using WeChat. Such things could be ordinary, minor or important. WeChat is a common communication tool used in China, just like Facebook, basic messages could be sent individually and posting pictures or texts is also available.

Sponsors

Central South University
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

Inclusion criteria

* officially employed licensed nurses; burnout score higher than 1.49; had a telephone on which WeChat could be installed.

Exclusion criteria

* pregnant; current endocrine disorder; taking hormone drugs such as contraceptives.

Design outcomes

Primary

MeasureTime frameDescription
Change from Baseline Burnout at six monthsThe measurement was taken at baseline and six months.Burnout of nurses is measured by Maslach Burnout Inventory-General Survey.
Change from Baseline Morning Plasma Cortisol at six monthsThe measurement was taken at baseline and six months.The level of cortisol is assayed by using chemiluminescence method.
Change from Baseline Thyroid Related Hormones at six monthsThe measurement was taken at baseline and six months.Triiodothyronine (T3), thyroxine (T4) and thyroid stimulating hormone (TSH) are assayed by using chemiluminescence method.

Secondary

MeasureTime frameDescription
Change from Baseline Resilience at six monthsThe measurement was taken at baseline and six months.Resilience of nurses is measured by Connor-Davidson Resilience Scale.
Change from Baseline Coping at six monthsThe measurement was taken at baseline and six months.The level of coping among nurses is measured by Trait Coping Style Questionnaire.
Change from Baseline Self-efficacy at six monthsThe measurement was taken at baseline and six months.The level of self-efficacy among nurses is measured by General Self-Efficacy Scale.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026