Burnout, Covid 19, Smarthphone Addiction

Kutahya Health Sciences University183 enrolled

Overview

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

Study Type

INTERVENTIONAL

Allocation

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Enrollment

183

Conditions

Burn Out Addiction, Smartphone

Interventions

healthcare workersBEHAVIORAL

healthcare

Eligibility

Sex: ALLHealthy volunteers:

Medical Language ↔ Plain English

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: \-

Locations (1)

Recep Tayyip Erdogan University

Rize, None Selected, Turkey (Türkiye)

Outcomes

Primary Outcomes

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

Time frame: 30 minutes

Secondary Outcomes

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

Time frame: 15 minutes

Data from ClinicalTrials.gov

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