Burnout, Covid 19, Smarthphone Addiction

Study Overview
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Brief Summary
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We investigate burnout syndrome and smartphone addiction in healthcare workers, including doctors, nurses, medical secretaries, security guards, and cleaning staff, who have been actively working from the beginning of the COVID-19 pandemic. target population included 1190 healthcare workers, from which a total of 183 agreed to participate in the study and met the inclusion criteria for participation. A sociodemographic data form, the Maslach Burnout Inventory, and the Smartphone Addiction Scale-Short Version were used as the data collection tools.

Detailed Description
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Significant differences in burnout syndrome were found in doctors and nurses. A relationship was observed between emotional burnout (EB), desensitization, and smartphone addiction, as well as between doctor and nurse group, and smartphone addiction. According to the linear regression analysis, it was determined that 17% of the change in the smartphone addiction score was related to age and 16% to master education level.Doctors and nurses experience the highest rate of burnout syndrome and smartphone addiction, and EB and desensitization were more likely to have smartphone addiction. Age and high education can affect smarthphone addiction

Official Title
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Assessment of Burnout Syndrome and Smartphone Addiction in Healthcare Workers Actively Working During the COVID-19 Pandemic

Conditions
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Burn Out, Addiction, Smartphone

Intervention / Treatment
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* Behavioral: healthcare workers


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Being older than 18 years of age Working as medical staff Having no systemic or psychiatric disorders No psychotropic substances use No alcohol or substance use Exclusion Criteria: -
Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Health Services Research
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Other: healthcare workers<br>doctors, nurses, medical secretaries, security guards, and cleaning staff | Behavioral: healthcare workers<br>* healthcare<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| maslach burnout scale | This tool was developed by Maslach and Jackson (1981), and the validity and reliability study of its Turkish version was conducted by Ergin (1992). The inventory has 22 items, which are scored on a 5-point Likert-type scale with anchors of 0 (never) and 4 (always). The MBI has three subscales: emotional burnout (9 items), desensitization (5 items), and low personal success (8 items | 30 minutes | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| smarthphone addiction scale | This 6-point Likert-type scale was developed by Kwon et al. to assess the risk of smartphone addiction. Total scale scores range from 10 to 60, with higher scores indicating higher risk of addiction. This is a single factor scale, and it has no subscales. The Cronbach's alpha coefficient of internal consistency and concurrent validity was 0.91 for the original scale | 15 minutes | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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burnout, covid-19, healthcare workers, smarthphone addiction