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

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

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) 

4.      Independent variables.

The sociodemographic and work environment section included the following variables which included – age, gender, marital status, presence and age of kids, level of medical qualification, type of registration from medical council, duration of work, place of work, medical officer cadre level, type of speciality, trainee level status, total number of hours worked in a week, number of stay-in-home on-calls, number of stay-in-hospital on-calls, shift duty, number of night shifts per month, number of working weekends per month,  and sick leave days, alcohol consumption, and smoking.  Supplementary questions would include history of suicidal ideation in the last 6 months, desire to resign in the last 6 months, awareness of counselling services, exercise routine, and provision of adequate resources at work.

 The independent variables in this study are listed in the table below: 

Independent variables
1	Age	16	AvgNumOfHrsWrkedPerWeekLastMonth
2	AgeGroup	17	StayInHospOnCallDaysperMonth
3	Gender	18	StayAtHomeOnCallDaysperMonth
4	NoYearsAsDoc	19	ShiftDuty
5	MaritalStatus	20	WorkingNightsPerMonth
6	NumberOfChildren	21	WorkingWeekendsPerMonth
7	Children18YearsOrAbove	22	NumOfSickLeaveDaysTakenLastYear
8	ChildrenUnderAgeof18	23	NumOfAnnualLeaveDaysTakenLastYear
9	SmokingHistory	24	SuicidalThoughtsInLast6Months
10	AlcoholConsumption	25	LeavingJobInLast6Months
11	SettingOfCurrentPractice	26	AwareOfCounsellingServicesAvailableToYou
12	FMDCRegistrationType	27	NameOfCounsellingService
13	RankAtWork	28	BestExerciseRoutine
14	AreaOfSpecialty	29	AdequateResourcesProvidedAtWork
15	BestDescribesYou

 5.      Dependent variables.

The dependent variables include:

a.       MBI Emotional exhaustion (EE).

b.      MBI Depersonalization (DP).

c.       MBI Lack of personal accomplishment (PA).

d.      Area of Worklife Scale (AWLS) Workload

e.       Area of Worklife Scale (AWLS) Control

f.       Area of Worklife Scale (AWLS) Reward

g.      Area of Worklife Scale (AWLS) Community

h.      Area of Worklife Scale (AWLS) Fairness

i.        Area of Worklife Scale (AWLS) Values

j.        AUDIT scores

Attachments:

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