Introduction
Anaesthesiology is
considered one of the stressful fields in medical practice . Anaesthesiologists
work in multiple domains including peri-operative care, intensive care, pain management,
emergency and trauma. They are active researchers, teachers, and bear hospital
administrative responsibilities.
Burnout syndrome is
chronic occupational stress affecting both physical and cognitive function. Small
acute stress events occurring every day at work, can gradually lead to
long-term, chronic stress. It can cause work exhaustion, sleepiness, decreased interest
in work, lack of enthusiasm, low self-esteem, and increase susceptibility to
illness leading to decreased work efficiency.
Continuous work in
a fast-paced environment can lead to mental and physical exhaustion. Mental
wellness is as important as physical well being but is often neglected.
Prolonged mental stress and burnout are an important occupational hazard for
health professionals. Long working hours and poor recognition can lead to job
dissatisfaction .
Aims and Objective:
To assess the
prevalence of burnout, stress and job satisfaction among practicing
anaesthesiology residents in India
Review
of literature
According to a blinded,
confidential survey by MT Kluger and J Byrant done on anaesthetic technicians in
New Zealand1. At total of 154 forms were returned (51% response
rate). Respondents worked predominantly in public hospitals and many had duties
outside the operating room. Job satisfaction was related to teamwork, practical
nature of work and patient contact, while dissatisfaction was related to lack
of respect from nurses and limited career pathway. High to moderate levels of
emotional exhaustion (48%), depersonalisation (39%) and low levels of personal
accomplishment (58%) were indicators of burnout. The
Short Form 12 revealed high levels of physical impairment in 24% and
emotional impairment in 35% of respondents. These data suggest that work is
needed to evaluate anaesthetic assistants’ job structure and actively manage
their important physical and emotional sequelae.
According to an
another study carried out by Annie Sheeba John and Shenthil Kumar to assess
burnout in Indian Anaesthesiologists cross-sectional survey study was
conducted, wherein a questionnaire was emailed to 5000 anaesthesiologists.2
There were 1238 responders, with a response rate of 24.7%. A total of 864
completed responses were considered for analysis. The prevalence of emotional
exhaustion, depersonalisation, and low professional outcome among our
responders was 39.5%, 65%, and 50.6%. Senior residents showed a high prevalence
of burnout in all subsets compared to other designation (p < 0.001).
Increased prevalence was seen in the 26–35 years age group, those working
around 12 h/day, doing 7–10 night shifts per month, and perceived poor remuneration.
According to another
study carried out by MT Kluger in Australia looking at aspects of job
satisfaction,dissatisfaction and stress in Anaesthesiologist.3 The response
rate was 60% (422 / 700) with the majority of respondents being male (83%).
Stressful aspects of anaesthesia included time constraints and interference
with home life. Experienced assistants and improved work organisation helped to
reduce stress. The high standard of practice and practical aspects of the job
were deemed satisfying, whereas poor recognition and long hours were the major
dissatisfying aspects of the job. With respect to burnout, high emotional exhaustion,
high levels of depersonalisation and low levels of personal achievement were
seen in20, 20 and 36% of respondents, respectively. Female anaesthetists
reported higher stress levels than males (p ¼0.006), but tended to
prioritise home / work commitments better than males (p ¼ 0.05).
Private practitioners rated time issues of high importance compared with public
hospital doctors, whereas public hospital doctors rated communication problems
as being more signiï¬cant than with private specialists. Although burnout levels
are high in anaesthetists, they compare favourably with other medical groups.
There are, however, aspects of the anaesthetist’s job that warrant further
attention to improve job satisfaction and stress.
Materials and Methods:
After obtaining institutional
ethics committee of SGPGIMS approval and informed consent from the subjects, data
will be conducted during the period of September 2022 to December 2023.
·
Subjects would be eligible for inclusion
in this study if they are:
o
Mentally and physically able to answer the
questionnaire
o
Either gender with consent.
o
At least one year of experience in field of
Anaesthesiology
EXCLUSION CRITERIA
·
Subjects who are not giving consent for study .
·
Subjects who are not able to understand our instructions.
All subjects will be asked from a questionnaire and
their answers will be recorded.
Study design and sampling
The
present hospital based cross sectional study will be conducted among residents
of the anaesthesiology who have had completed at least one year experience in
the anaesthesiology department. To develop the questionnaire an in-depth
literature search was done. Based on the literature gathered, questions were prepared
and after discussion among the experts of the Anaesthesiology, questions
related to this study were finalized.
Next,
the prepared questions will be evaluated by the senior faculties in the
department for content validation. In case any useful suggestions are obtained
from the experts, it would be incorporated in the questionnaires. The final
questionnaire will be circulated among the eligible participants and the
responses would be collected.
Survey
tool
The questionnaire is
consisted into three sections,
Part 1: Aims to collect socio-demographic and
family data
Part 2:Consists of six questions regarding stress and work
satisfaction in anaesthesia.
Part 3 consists of Maslach Burnout Inventory-Human Services Survey
(MBI-HSS)4consisting of a set of 22 questions divided into three
subsets. The subsets are Emotional Exhaustion (EE), Depersonalization (DP), and
Low Professional Outcome (LPO).
Sample size:
Based on a published study, average of the moderate
to severe job satisfaction, stress or burnout was 50%. [Kluger M.T.et al, 2003]. At minimum two-sided 95% confidence
interval and 6% margin of error in the given burnout, estimated sample size was
267. Finally, 300 residents to be targeted to include in the study. Sample size
was estimated using software “Power analysis and sample size, version-16
(PASS-16)â€.
Statistical analysis
Mean
and standard deviation (SD) or median (interquartile range) will be used for
continuous variables depend on normality status. Categorical variables will be
presented in number (%). For independent groups, comparison between means or
median will be done using independent samples t test / one-way ANOVA or its
non-parametric methods. To compare the proportions chi square test / Fisher
exact test will be used. Causes /factors of the stress and work satisfaction
will be presented in terms of frequency (%) from most common to least common. Burnout
responses will be summarised as per standard procedure of the used scale and
categories in terms of their severity. Association of the demographic factor with
severity of the burnout, to be assessed using multinomial logistic regression
analysis. All statistical analyses will be performed using SPSS software /
MedCalc with a significance level < 0.05 (two sided). |