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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.
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
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| healthcare workers | Other | doctors, nurses, medical secretaries, security guards, and cleaning staff |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| healthcare workers | Behavioral | healthcare |
|
| 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 |
| 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 |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Recep Tayyip Erdogan University | Rize | None Selected | 53100 | Turkey (Türkiye) |
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| ID | Term |
|---|---|
| D000077062 | Burnout, Psychological |
| D000082424 | Internet Addiction Disorder |
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D013315 | Stress, Psychological |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
| D000088942 | Technology Addiction |
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| ID | Term |
|---|---|
| D006282 | Health Personnel |
| ID | Term |
|---|---|
| D005159 | Health Care Facilities Workforce and Services |
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| D016739 |
| Behavior, Addictive |
| D003192 | Compulsive Behavior |
| D007175 | Impulsive Behavior |
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D014777 | Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |