Factors
Intend to Brain Drain among Staff Nurses
Meena Kumari Bimal, Ravneet
Kaur, Ramandeep Kaur
Community Health Nursing Department, Shaheed Kartar Singh Sarabha College of
Nursing,
Ludhiana (Punjab), India
*Corresponding Author’s Email: nainubimal@gmail.com
ABSTRACT:
A descriptive study was conducted on staff nurses of
selected hospitals of Ludhiana, Punjab, to assess factors intend to brain drain
among nurses. Material and Methods: Tool consisted of two parts; demographic
data and rating scale to assess factors intend to brain drain among nurses
which included the four factors i.e. professional factors, economical factors,
personal factors and psychological factors. Pilot study was conducted to ensure
the reliability and feasibility of the study. The study was conducted on 100
staff nurses of selected private hospitals of district Ludhiana, Punjab. Convenient
sampling technique was used to collect data. Results: 98% of staff nurses had
more contributing factors intend to brain drain whereas only 2% of staff nurses
had less contributing factors intend to brain drain. The relationship of brain
drain with contributing factors showed that professional factor, economical
factor and personal factors were more contributing among 95% of staff nurses
and less contributing among very few i.e. 5% of staff nurses while the
psychological factor was more contributing to brain drain among 68% of nurses
and less contributing in 32% of staff nurses. Statistically significant
relationship was found in factor score with staff nurses who had previously
visited abroad at p< 0.05 level of significance. Statistically significant
association was found in contributing factors with having children, type of
family and reason for migration. Conclusion: The study concluded that
professional factors, economical factors, personal factors and psychological
factors were contributing factors intend to brain drain among staff nurses.
Therefore, it is recommended that government need to demonstrate a commitment
to the needs of the nurses and a firm recognition of the value of nursing care
and nursing profession.
KEYWORDS: Brain drain, factors, staff nurses
INTRODUCTION:
Migration of health workers ‘Brain drain’ is defined
as the movement of health personnel in search of the better standard of living
and life quality, higher salaries, access to advanced technology and more
stable political conditions in different places worldwide.[1]
The migration of highly skilled workers from less-developed
nations to industrialized nations is an inevitable part of the process of
globalization and has positive and negative aspects. Those potentially
advantaged often include the individuals who move and the source, or home,
country that receives capital in the form of remittances from those who have
moved. At the same time, major disadvantages are incurred if departures impair
a country’s ability to deliver vital services in local communities.[2] Trained
health professionals are needed in every part of the world. However, better
standards of living and quality of life, higher salaries, access to advanced
technology and more stable political conditions in the developed countries
attract talent from less developed areas. The majority of migration is from
developing to developed countries. This is of growing concern worldwide because
of its impact on the health systems in developing countries. These countries
have invested in the education and training of young health professionals. This
translates into a loss of considerable resources when these people migrate,
with the direct benefit accruing to the recipient states who have not worked
out the cost of educating them. The intellectuals of any country are some of
the most expensive resources because of their training in terms of material
cost and time, and most importantly, because of lost opportunity. In 2000
almost 175 million people, or 2.9% of the world’s population, were living
outside their country of birth for more than a year. Of these, about 65 million
were economically active[3]. Some
of the factors that pull professionals to developed countries may include:
availability of information, easy access to communication and technology,
making it easy to find jobs or complete visa applications and process;
aggressive targeted recruitment to fill vacancies in richer countries;
availability of employment opportunities; better remunerations and working
conditions, secure and conducive living conditions; and opportunities for
intellectual growth. [4] There are various reasons for the brain drain
in India. The reasons usually include two aspects which respectively come from
countries and individuals. In terms of countries, the reasons may be social
environment (in source countries: lack of opportunities, political instability,
economic depression, health risks, etc.; in host countries: rich opportunities,
political stability and freedom, developed economy, better living conditions,
etc.). In terms of individual reasons, there are family influence, and personal
preference: preference for exploring, ambition for an improved career, etc.
Keeping all these in mind we can identify some causes for the brain drain among
nurses in India. [5]
STATEMENT OF PROBLEM:
A descriptive study on factors intend to brain drain among
staff nurses of selected hospitals of district Ludhiana, Punjab.
OBJECTIVES:
· To assess factors intend to brain drain
among staff nurses of selected hospitals of district Ludhiana, Punjab.
· To find out the relationship of factors
intend to brain drain with selected variables.
MATERIALS AND METHODS:
A quantative research approach and descriptive design was
adopted to accomplish the objectives of the study. The present study was conducted in Guru Teg
Bahadur hospital and Deep hospital of Ludhiana,
Punjab. Total sample consisted of 100 staff nurses and selection was done by convenient
sampling technique. Out of 100 staff nurses, 60 were from Guru Teg Bahadur hospital and 40 were
from Deep hospital of Ludhiana, Punjab. Tool consisted of self structured interview
schedule which had two parts socio-demographic data and rating scale to assess factors intend to brain
drain among staff nurses. Rating scale was including the four contributing
factors intended to brain drain i.e. professional factors, economical factors,
personal factors and psychological factors. There were 15 items in professional
factors, 4 items in economic factors, 8 items in personal factors and 3 items
in psychological factors. The tool was rated as strongly agreed, agreed and
disagreed and was scored 3, 2, and1 respectively. A try out of the tool was
done for clarity and relevance of conducting the study. Pilot study was
conducted to ensure the reliability of the tool and feasibility of the study.
The content validity of the tool was determined by the expert’s opinions and
suggestions on the relevance of items. The reliability of rating scale to
assess factors intend to brain drain was 0.99. Written consent was taken from
the staff nurses who were willing to participate in the study. Data collection
procedure was carried out from 8th April to 13th April,
2013. The data was analyzed by using
descriptive and inferential statistics.
RESULTS:
Out of 100, maximum (94) of staff nurses were females
and only 6 were male. About 79% of
staff nurses were in age group 20-30 years, and 65 were unmarried whereas 34
were married. Regarding education, 71 staff nurses were GNM, 21 were B. Sc.
Nurses and very few i.e. 7 were post Basic B. Sc. Nurses and only one was M.
Sc. Nurse. In case of children, majority (81) had no children. While
considering the area of residence, more than half (53) belongs to rural area
and near to half (47) were from urban area. As per years of experience, 38%
were having <1 year of experience, 35% had 1-5 years, 14% had 5-10 years and
13% were having >10 years of experience. Regarding family income, 44% had
>15000 Rs/month, 26% had 10000-15000 Rs/month and 25% of staff nurses had
5001-10000 Rs/month. More than half (65%) of staff nurses were from nuclear
families. Maximum (92%) of them had not visited the abroad. All (100%) the
staff nurses want to go abroad and more than half (67%) want to go Canada, 20%
stated America and 6% desired to go New Zealand. While considering the reason
for migration, more than Half (52%) stated that they want to go for employment,
25% for family reason and 20% for the education purposes.
Fig.1 depicts that majority of staff nurses (98%) were
having more contributing factors intend to brain drain and very few (2%) were having
less contributing factors intend to brain drain.
Contributing
Factors
Fig. 1 Frequency percentage distribution of
staff nurses according to levels of contributing factors
Table 1 Mean, Mean percentage and Rank order
of contributing factors intend to brain drain among staff nurses
|
Contributing factors |
Professional factor score |
||||
|
A.
Professional factors |
Mean |
Mean %age |
Rank order |
||
|
1.
|
Better job opportunities |
2.81 |
93.66 |
1 |
|
|
2.
|
Professional advancement |
2.81 |
93.66 |
1 |
|
|
3.
|
Improved quality care |
2.77 |
92.33 |
2 |
|
|
4.
|
Career advancement |
2.75 |
91.66 |
3 |
|
|
5.
|
Career expectation |
2.68 |
89.33 |
4 |
|
|
6.
|
Better training facilities |
2.68 |
89.33 |
4 |
|
|
7.
|
Working conditions |
2.67 |
89.00 |
5 |
|
|
8.
|
Continuing education |
2.65 |
88.33 |
5 |
|
|
9.
|
Job security |
2.64 |
88.00 |
6 |
|
|
10.
|
Management system |
2.64 |
88.00 |
6 |
|
|
11.
|
Favorable laws |
2.59 |
86.33 |
7 |
|
|
12.
|
Gaining wider experience |
2.58 |
86.00 |
8 |
|
|
13.
|
Effective leadership |
2.55 |
85.00 |
9 |
|
|
14.
|
Awareness regarding consumer protection |
2.55 |
85.00 |
9 |
|
|
15.
|
Retention of nurses |
2.44 |
81.33 |
10 |
|
|
B.
Economic factors |
Economic factors score |
||||
|
1.
|
High wages |
2.86 |
95.33 |
1 |
|
|
2.
|
Bonuses |
2.74 |
91.33 |
2 |
|
|
3.
|
Benefit packages |
2.50 |
83.33 |
3 |
|
|
4.
|
Financial constraints |
2.50 |
83.33 |
3 |
|
|
C.
Personal factors |
Personal factors score |
||||
|
1.
|
Better lifestyle |
2.69 |
89.66 |
1 |
|
|
2.
|
Self improvement |
2.68 |
89.33 |
2 |
|
|
3.
|
No political interference |
2.58 |
86.00 |
3 |
|
|
4.
|
Self environment |
2.55 |
85.00 |
4 |
|
|
5.
|
Lure for freedom |
2.49 |
83.00 |
5 |
|
|
6.
|
Craze of overseas |
2.43 |
81.00 |
6 |
|
|
7.
|
Family abroad |
2.38 |
79.33 |
7 |
|
|
8.
|
Better family relations |
2.01 |
70.00 |
8 |
|
|
D.
Psychological factors |
Psychological factors score |
||||
|
1.
|
Dignified job |
2.66 |
88.66 |
1 |
|
|
2.
|
Less violence and crime |
2.34 |
78.00 |
2 |
|
|
3.
|
Less workload |
2.08 |
69.33 |
3 |
|
Table 1 shows that mean percentage and rank order of
professional factor score was high in better job opportunities and professional
improvement (93.66% and rank 1st) and lowest in retention of nurses
(81.33% and rank 10th). Among economical factors, mean percentage
and rank order of economical factor score was high in high wages (95.33% and
rank 1st) and lowest in benefit packages and financial constraints
(83.33% and rank 3rd). In case of personal factors, mean percentage
and rank order was high in better lifestyle (89.66% and rank 1st)
and lowest in better family relation (70.00% and rank 8th) among
staff nurses. Among psychological factors, mean percentage and rank order was
high in dignified job (86.66% and rank 1st) and lowest in less
workload (69.33% and rank 3rd).
Table 2 Frequency and
percentage distribution of staff nurses according to levels of contributing
factors with significant variables
|
Variables |
Professional factors |
||
|
More contributing (n) |
Less contributing (n) |
Chi-square & df |
|
|
Reason for migration For education For employment For family Any other… |
16 52 24 03 |
04 0 1 0 |
12.42 P= 0.005 |
|
|
Personal factors |
||
|
Type of family Nuclear Joint Extended |
65 28 2 |
0 5 0 |
10.68 P=0.004 |
|
|
Psychological factors |
||
|
Having children Yes No |
17 51 |
2 30 |
4.97 P=0.025 |
|
Reason for migration For education For employment For family Any other… |
15 29 21 03 |
05 23 4 0 |
8.378 P= 0.038 |
Table 2 depicts that professional factors had
statistical significant relationship with reason for migration
(chi-square=12.42, p=0.005) for brain drain among staff nurses, personal
factors had statistical significant relationship with type of family
(chi-square=10.68, p=0.004) and psychological factors had statistical
significant relationship with having children (chi-square=4.97, p=0.025) and
reason for migration (chi-square=8.378, p=0.038) for brain drain among staff
nurses.
DISCUSSION:
The findings of the present study revealed that 98% of
staff nurses had more contributing factors intend to brain drain whereas only
2% of staff nurses had less contributing factors intend to brain drain. The
relationship of brain drain with contributing factors showed that professional
factor, economical factor and personal factors were more contributing among 95%
of staff nurses and less contributing among very few i.e. 5% of staff nurses
while the psychological factor was more contributing to brain drain among 68%
of nurses and less contributing in 32% of staff nurses. Statistically
significant relationship was found in factor score with staff nurses who had
previously visited abroad at p< 0.05 level of significance. Statistically
significant association was found in contributing factors intend to brain drain
among staff nurses with having children, type of family and reason for
migration among staff nurses.
Our study among 100 staff nurses revealed that among
professional factors; lack of better job opportunities and professional
advancement in India were the contributing factors intend to brain drain among
staff nurses (Mean %age= 93.66) followed by lack of quality care (Mean
%age=92.33), career advancement (Mean %age= 91.66) and among economical
factors; lack of high wages (Mean %age=95.33) was the main contributing factor
intend to brain drain among staff nurses. Whereas in case of personal factors;
better life style (Mean %age = 89.66) and among psychological factors; lack of
dignified job (Mean %age = 88.66 were the main factors intend to brain drain
among staff nurses. The findings were consistent with R Baral
and S Sapkota. Their study revealed that lack of
training and educational opportunities in Nepal was the main cause of
respondents to migrate abroad (Mean: 2.67) followed by lack of job and career
opportunities in Nepal (Mean: 3.57), personal ambitions (Mean: 3.70),
economical factors (Mean: 3.72), job dissatisfaction (Mean: 4.90), married to
the man living there (Mean: 5.31), political conflicts (Mean: 5.94), lack of
modern facilities (Mean: 6.06). [6] Another research published on 2009 stated
that 63% of Nurses of India intended to immigrate because of dissatisfaction
with working condition and also other main factor for immigration was better
in-come. [7] Study done by Lipuke in 2013 stated that
five main causes of migration are poor remuneration, lack of professional
development in home country, poor health care and system, easy availability of
jobs in developed countries.[8] In our study, the respondents had given their
reasons of migration as economic factors and job dissatisfaction in India. Also
research published by Connel (2008) states that the
economic factors and the better working environment with more technological
facilities are the main causes of migration among doctors and nurses. [9]
CONCLUSION:
The factors intend to brain drain are complex with no
simple strategic measures to mitigate the phenomenon. This study has been able
to confirm role of contributing factors on brain drain among staff nurses. From
the findings of this study it can be concluded that the major contributing
factors for nurses’ brain drain were lack of better job opportunities, no
professional development, low wages, lack of better life style and lack of job
dignity in India.
ACKNOWLEDGEMENT:
The researchers would like to express their special
thanks to all participants of this study, for their valuable responses.
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Received on 24.06.2016 Modified on 17.07.2016
Accepted on 25.07.2016 ©
A&V Publications all right reserved
Int. J. Adv. Nur. Management. 2016; 4(4): 327-330.
DOI: 10.5958/2454-2652.2016.00073.1