Addiction, Smartphone, Burn Out
Conditions
Keywords
burnout, covid-19, healthcare workers, smarthphone addiction
Brief summary
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
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
Interventions
BEHAVIORALhealthcare workers
healthcare
Sponsors
Kutahya Health Sciences University
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
1. Being older than 18 years of age 2. Working as medical staff 3. Having no systemic or psychiatric disorders 4. No psychotropic substances use 5. No alcohol or substance use
Exclusion criteria
\-
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| maslach burnout scale | 30 minutes | 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 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| smarthphone addiction scale | 15 minutes | 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 |
Countries
Turkey (Türkiye)
Outcome results
None listed