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Burnout, Covid 19, Smarthphone Addiction

Primary Purpose

Burn Out, Addiction, Smartphone

Status
Completed
Phase
Not Applicable
Locations
Turkey
Study Type
Interventional
Intervention
healthcare workers
Sponsored by
Kutahya Health Sciences University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional health services research trial for Burn Out focused on measuring burnout, covid-19, healthcare workers, smarthphone addiction

Eligibility Criteria

undefined - undefined (Child, Adult, Older Adult)All SexesAccepts Healthy Volunteers

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:

-

Sites / Locations

  • Recep Tayyip Erdogan University

Arms of the Study

Arm 1

Arm Type

Other

Arm Label

healthcare workers

Arm Description

doctors, nurses, medical secretaries, security guards, and cleaning staff

Outcomes

Primary Outcome Measures

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

Secondary Outcome Measures

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

Full Information

First Posted
February 18, 2022
Last Updated
February 18, 2022
Sponsor
Kutahya Health Sciences University
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1. Study Identification

Unique Protocol Identification Number
NCT05248217
Brief Title
Burnout, Covid 19, Smarthphone Addiction
Official Title
Assessment of Burnout Syndrome and Smartphone Addiction in Healthcare Workers Actively Working During the COVID-19 Pandemic
Study Type
Interventional

2. Study Status

Record Verification Date
February 2022
Overall Recruitment Status
Completed
Study Start Date
February 25, 2021 (Actual)
Primary Completion Date
June 30, 2021 (Actual)
Study Completion Date
October 27, 2021 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Kutahya Health Sciences University

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

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

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Burn Out, Addiction, Smartphone
Keywords
burnout, covid-19, healthcare workers, smarthphone addiction

7. Study Design

Primary Purpose
Health Services Research
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
183 (Actual)

8. Arms, Groups, and Interventions

Arm Title
healthcare workers
Arm Type
Other
Arm Description
doctors, nurses, medical secretaries, security guards, and cleaning staff
Intervention Type
Behavioral
Intervention Name(s)
healthcare workers
Intervention Description
healthcare
Primary Outcome Measure Information:
Title
maslach burnout scale
Description
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 Outcome Measure Information:
Title
smarthphone addiction scale
Description
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

10. Eligibility

Sex
All
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
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: -
Facility Information:
Facility Name
Recep Tayyip Erdogan University
City
Rize
State/Province
None Selected
ZIP/Postal Code
53100
Country
Turkey

12. IPD Sharing Statement

Plan to Share IPD
No

Learn more about this trial

Burnout, Covid 19, Smarthphone Addiction

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