To find the levels of burnout among doctors in Fiji using Maslach Burnout Inventory.

statistics

Description

1.       Aims of the study

a.       To find the levels of burnout among doctors in Fiji using Maslach Burnout Inventory.

b.      To find some of the causes and effects of burnout among doctors in Fiji.

c.       To ascertain some of the causes for burnout using the Area of Worklife scale.

d.      To ascertain the levels of alcohol consumption among doctors in Fiji using the AUDIT questionnaire.

 

2.      Request for the following analysis.

1.      Descriptive analysis

2.      Classification of Burnout (MBI) levels using raw scores, average, and categorical.

Classification of burnout

MBI Subscale

Mean

Low

Moderate

High

N (%)

N (%)

N (%)

EE

 

 

 

 

DP

 

 

 

 

PA

 

 

 

 

3.      Independent variables vs MBI Burnout (raw scores) [continuous variable)

Statistical test:

4.      Independent variables vs MBI Burnout (mean scores) [continuous variable)

Statistical test:

5.      Independent variables vs MBI Burnout (groups) [categorical variable]

Statistical test:

6.      Independent variables vs Area of Worklife Scale (AWLS) groups - mean scores [continuous variable]

Statistical test:

7.      Independent variables vs AUDIT scores (raw scores) [continuous variable]

Statistical test:

8.      Independent variables vs AUDIT Grades - [categorical variable]

Statistical test:

9.      MBI scale vs Area of Worklife Scale (AWLS)

10.  Box plot graphs

a.      MBI subscales (Emotional Exhaustion, Depersonalization, Personal Accomplishment) vs speciality

b.      MBI subscales (Emotional Exhaustion, Depersonalization, Personal Accomplishment) vs FMDC registration

11.  If the is any significant findings on univariate analysis, please subject to multivariate analysis.

 

3.      Sample size

a.       Total number of doctors working in Fiji in 2019 – 917 doctors.

b.      Total number of questionnaires returned – 523 questionnaires.

c.       Analysis – 496 questionnaires. Twenty-seven were not analysed as the questionnaires were returned unfilled or had incomplete answers.

d.      Using Cochran’s formula and previous burnout prevalence data among surgeons in Fiji of 64% a sample size of 354 doctors was required to estimate the prevalence of burnout among doctors in Fiji within 5% of the true value with a 95% confidence interval.

e.       For the current study 496 doctors returned questionnaires out of 917 doctors eligible to take part in the study giving a response rate of 54% (496/916) 


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