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Validated Tools for Assessing Anxiety and Depression in Nurses: A Systematic Review
Gabriel Reyes Rodríguez1, Leticia Cuellar-Pompa2, Natalia Rodríguez Novo3
1Nursing Department, Hospital Universitario Nuestra Señora de la Candelaria, 38010 Santa Cruz de Tenerife, Spain.
Nurses frequently experience anxiety and depression. This review identified common screening tools like the PHQ-9 and GAD-7, but highlights the need for better validation in nursing populations.
Area of Science:
- Nursing Research
- Mental Health Assessment
- Psychometric Validation
Background:
- Nurses report high rates of anxiety and depression.
- Validated instruments are crucial for assessing these conditions in nurses.
- This study aimed to identify existing assessment tools for nurses' mental health.
Purpose of the Study:
- To systematically review and identify instruments used for assessing anxiety and depression in nurses.
- To evaluate the characteristics and limitations of currently used tools.
Main Methods:
- A systematic review of quantitative studies published between 2014-2024 was conducted.
- Searches were performed across MEDLINE, Embase, CINAHL, and PsycINFO databases.
- Data were extracted from 22 studies involving 10,710 nurses, with quality appraised using JBI checklists.
Main Results:
- Twenty-two studies met the inclusion criteria, primarily using cross-sectional designs with moderate to high risk of bias.
- The most frequently utilized instruments were the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder 7-item scale (GAD-7), General Health Questionnaire (GHQ-28), and Beck Depression Inventory (BDI).
- The PHQ (including PHQ-2 and PHQ-9) was the most prevalent measure; meta-analysis was not feasible due to heterogeneity.
Conclusions:
- Existing instruments can support routine mental health screening for nurses.
- Limitations include reliance on self-report measures and a lack of formal cross-cultural validation in practicing nurses.
- Future screening programs should combine self-report tools with objective indicators and standardized protocols, prioritizing contextualized validation and longitudinal designs.
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