A Quasi Experimental Study to
Assess the Effect of Structured Teaching Programme on
Knowledge regarding Neonatal Warning Signs among Postnatal Mothers in Selected
Hospitals of Jalandhar, Punjab, 2015.
Kul Pooja1,
Kumari Lalita2, Kaur
Amritpal3
1Student, Department of Child Health Nursing, Professor cum Principal
2Department of Maternal and Child health Nursing,
Assistant professor
3Department of Community Health Nursing, S.G.L Nursing
College Semi Jalandhar, Punjab.
*Corresponding Author’s Email: kulpooja9rana@gmail.com
ABSTRACT:
Globally 4 million newborns
die every year before they reach the age of one month. India has persistently
high rates of newborn mortality over three lakh a
year and accounts for 29 per cent of all first-day deaths globally. Common
danger signs occur in newborn which require immediate care. These danger signs
include poor or no sucking, lethargy or drowsiness, rapid or difficulty
breathing, hypothermia and hyperthermia, jaundice, abdominal distention,
diarrhea, convulsion and vomiting.
The aim of the study is to
enhance the knowledge of postnatal mothers with structured teaching programme regarding neonatal warning signs in order to reduce
the neonatal mortality rate. Investigator planed to give structured teaching programme to the mothers of neonates so as to improve their
knowledge regarding neonatal warning signs. The study was conducted on 60
mothers of neonates in selected hospitals of Jalandhar
and was selected by convenient sampling technique. Quasi-experimental research
design was used. Data will be obtained by self structured knowledge
questionnaire and was analyzed and interpreted by descriptive and inferential
statistics.
Pre test mean knowledge
score of control group was 10.83 and pre test mean knowledge score of
experimental group was 9.30 where as the pre test knowledge score of control
group was 10.83 and the posttest mean knowledge score 17.63 in experimental
group was higher than posttest mean knowledge score 10.83 in control group. And
it was statistically significant at p< 0.05 level as calculated ‘t’ value
(6.210*) was more than the table value at p>0.05 level of significance. It
showed that the posttest of control and experimental group were significantly
related. Pretest and posttest of
experimental group were significantly related as calculated value‘t’
value (20.159*) was more than the table value at p> 0.05 level of
significance. Hence the research hypothesis (H1) is accepted and H0 is
rejected. So, it is concluded that structured teaching programme
had significant impact on improving knowledge of mothers regarding neonatal
warning signs
KEYWORDS: Neonatal warning
signs, Postnatal mothers, Knowledge
INTRODUCTION:
“The future destiny of a Child is always the
work of the Mother”
The birth of an infant is one of the most
awe-inspiring and emotional events that can occur in one’s lifetime. After 9
months of anticipation and preparation, the neonate arrives amid of flurry of
excitement. Immediately after birth the newborn must make rapid adjustment to
successfully adapt to life outside the womb.
Health statistics show that worldwide about
4 million newborn babies die each year; another 4 million babies each year are
stillborn; most die in late pregnancy or labour and
most newborn deaths occur in developing countries. The same statistics show
that about two-thirds of deaths in the first year of life occur in the first
month of life. Eighty-five percent of newborn deaths are due to three main
causes: infection, birth asphyxia, and complications of prematurity and low
birth weight (LBW).
In India, an estimated 26 millions of
children are born every year. As per census 2011, the children (0-6 years)
accounts 13% of the total population in the country. An estimated 15.5 lakhs children die every year before completing 5 years of
age. However, 79% of under-five child mortality takes place within one year of
the birth which accounts nearly 11.6 lakhs infant
deaths whereas 56% of under-five deaths take place within first one month of
life accounting to 8.7 lakhs neonatal deaths every
year in the country
Most maternal and neonatal deaths in
developing countries happen at home, beyond the reach of health facilities.
India contributes about 1 million new born and infant deaths to the global
burden, and its infant mortality is 43/1000 live births globally. In India it
is 53/1000 live births, in Karnataka 45/1000 live births, a high rate that has
not declined much in the recent past.
Common danger signs in newborn require
immediate care and accounts for high morbidity, These danger signs include poor
or no sucking, lethargy or drowsiness, rapid or difficulty breathing,
hypothermia and hyperthermia, yellow color of the palms and soles, abdominal
distension, bleeding from umbilical cord, diarrhea loose stools or bloody
stools, convulsion and vomiting. Most of the signs of illness in newborns are
non-specific. Nurse need to know the danger signs of sick newborn. A nurse can
explain these signs to mother or family member in a simple language so as to
enable them to identify the danger signs and to seek early and prompt medical
help.
WHO, 2003 Globally 4 million newborns die every year
before they reach the age of one month. The primary causes of neonatal death
are sepsis (52%) (which includes pneumonia, meningitis, neonatal tetanus and
diarrhea), birth asphyxia (20%), prematurity (15%) and others (13%). However,
the Integrated Management of Neonatal and Childhood Illnesses (IMNCI) approach
has attempted to provide a standard case definition of various neonatal
morbidities.
UNICEF, 2011 MDG4 (Millennium Development Goal four),
national leaders committed to reduce levels of child mortality in their
countries to two-thirds by 2015. Between 1990 and 2009, child mortality has
reduced globally from 89 to 60 per 1000 live Births. India
has the highest number of births in the world and also accounts for over 20% of
all child deaths.
Sample
Registration Survey (SRS 2011) India
has persistently high rates of newborn mortality over three lakh
a year and accounts for 29 per cent of all first-day deaths globally. Figures,
reported that Madhya Pradesh has the highest burden of early newborn deaths at
32, followed closely by Uttar Pradesh and Orissa (30). Kerala is the leader in
reducing neonatal mortality by a wide margin, while Tamil Nadu, Delhi and
Maharashtra too have bucked the national rate of 24.
According to SRS
September, 2013 In Punjab
infant mortality rate was 28. Newborn survival has become an important issue to
improve the child health status and for achieving the millennium developmental
goals. Neonatal health and survival is enhanced by providing essential newborn
care such as cleanliness, thermal protection, initiation of breathing, early
and exclusive breastfeeding, eye care, immunization, and management of newborn
illness. Mothers are the key person for providing newborn care in Nepal.
As a nurse, the investigator has a pivotal
role in creating awareness among postnatal mothers about how to identify the
symptoms and bring about modification in order to prevent further complications
of neonatal warning signs. As the incidence of neonatal warning signs is
increasing, the investigator felt that learning package was an effective
teaching strategy to impart knowledge to postnatal mothers regarding neonatal
warning signs. So the researcher choose the study to assess the knowledge of
postnatal mothers regarding neonatal warning signs.
OBJECTIVES:
1. To assess the pre test knowledge regarding
neonatal warning signs among postnatal mothers in control group and
experimental group.
2. To assess the post test knowledge regarding
neonatal warning signs among postnatal mothers in control group and
experimental group.
3. To compare the pre test and post test
effect of knowledge regarding neonatal warning signs among postnatal mothers in
control group and experimental group.
4. To find out the association between
posttest knowledge regarding neonatal warning signs among postnatal mothers and
selected socio demographic variables in control group and experimental group.
HYPOTHESIS:
H0: The post test mean knowledge score regarding neonatal
warning signs among postnatal mothers in experimental group was not
significantly higher than post test mean knowledge score in control group.
H1: The post test mean knowledge score regarding neonatal
warning signs among postnatal mothers in experimental group was significantly
higher than post test mean knowledge score in control group. (p<0.05 level
of significance)
MATERIALS AND METHODS:
Research approach- Quantitative approach was used in the study.
Research design- Non equivalent pre test- post test control
group design.
Research setting- Postnatal mothers in postnatal wards of selected hospitals Civil hospital, Ankur super speciality kids
hospitals, Chawla nursing home of Jalandhar,
Punjab.
Population- All postnatal mothers in selected hospitals of Jalandhar, Punjab.
Target population- It consisted of
postnatal mothers in selected
hospitals Civil hospital, Ankur super speciality kids hospital, Chawla
nursing home of Jalandhar, Punjab.
Sample and sampling technique- Sample was postnatal mothers and convenient
sampling technique was adopted to select sample in the study.
Sample size- The sample size comprised of 60 postnatal mothers.
i.e. 30 in control group and30 in experimental group
Criteria for sample selection
Inclusion criteria:
Postnatal mothers who were:
1.
Available
in selected hospitals at the time of data collection.
2.
Willing
to participate in the study.
3.
Able
to understand Punjabi/ Hindi language.
Exclusion criteria:
Postnatal mothers who were:
1.
Sick
during the period of data collection.
2.
Health
professionals.
Variables:
Independent variable- Structured teaching program regarding
prevention of neonatal warning signs.
Dependent variable- Knowledge regarding neonatal warning signs
among postnatal mothers.
Selection and development of tool:
A tool is a vehicle that
could obtain data pertinent to the study and at the same time it adds to the
body of general knowledge in the Discipline.
Selection and development of Tool was done,
based on the objectives of the study.
Section A: Socio-demographic variables regarding neonatal warning
signs.
Section B: Self structured knowledge questionnaire to assess the
knowledge of mothersregarding neonatal warning signs.
Section C: Structured teaching programme
regarding neonatal warning signs.
Description of tool:
The tool was constructed to assess the knowledge
regarding neonatal warning signs among postnatal mothers.
Tool was comprised of 3 sections:
Section A: This section included Socio-demographic variables that consisted
of 10 items for obtaining information
about selected background factors such as age of mothers, educational level,
occupation, family income(per month), religion, number of children, type of
delivery, place of delivery, type of family, place of residence.
Section B: This section consisted of 27 items of Self structured
knowledge questionnaire for testing level of knowledge of postnatal mothers
regarding neonatal warning signs.
Section C: This section consisted of nStructured teaching programme
to provide knowledge regarding neonatal warning signs.
At the end of the teaching group will be able to:-
·
Introduce Neonatal warning signs
·
Define Neonatal warning signs
·
Enlist Neonatal warning signs
·
Elaborate alter thermoregulation
·
Describe Neonatal Jaundice
·
Enumerate Diarrhea
·
Describe vomiting
·
Discuss asphyxia
·
Elaborate convulsion and poor sucking
Criterion Measures:
Criterion measures used in this study were as follows:
Assessment of knowledge:
There were total 27 items
to assess the knowledge regarding neonatal warning signs
among postnatal mothers. The maximum score was 27 and minimum 0.
Criterion
measure for knowledge:
|
S.no |
Level of
knowledge |
Score |
|
1 |
Good |
19-27 |
|
2 |
Average |
Oct-18 |
|
3 |
Poor |
00-09 |
Content validity of tool:
In this study content of tool was validated
determined by various experts regarding opinion on the relevance of items.
These experts were from the specialty of Child Health Nursing. The suggestions
were incorporated after consultation with the research supervisor. The self
structured knowledge questionnaire was finalized with 27 items for assessment
of knowledge regarding neonatal warning signs among postnatal mothers. The self structured knowledge
questionnaire translated into Hindi by language experts for the purpose of data
collection.
Pilot study:
The pilot study was
conducted on the minimum of 10% of the target population. The pilot study was
started on 9/2/15 and end on 18/2/15. It
was conducted on 12 postnatal mothers 6 in each experimental group and in
control group.
Reliability of tool:
It is the degree of consistency or accuracy with which
an instrument measures the attribute it is designed to measure. Reliability was
obtained by test retest method and was calculated by Karl’s Pearson
co-efficient of co-relation formula. The reliability of tool was 0.672, which
indicated reliability.
Data collection procedure:
Data collection procedure
of the study was carried out in the month of March 2015 in selected hospitals
Civil hospital, Ankur Superspeciality
Kids Hospital, Chawla nursing of Jalandhar,
Punjab. Before collecting the data, investigator obtained permission from
medical superintendent of hospitals. Data was collected from postnatal mothers
and the sample size was 60 i.e 30 mothers in
experimental group and 30 mothers in control group. The investigator had taken
written informed consent from the mothers for participation in the study.
Participants were assured that their responses would be kept confidential and
used only for research purpose. Pre test knowledge of both groups was assessed
by self structured knowledge questionnaire. A structured teaching programme on neonatal warning signs was given only to
experimental group. Post test knowledge of both groups was assessed after seven
days.
ETHICAL CONSIDERATION:
1.
Ethical
permission was taken from the Principal, S.G.L Nursing College, Semi Jalandhar, Punjab.
2.
Written
permission was obtained from the ethical clearance committee of S.G.L Nursing
College, Semi, Jalandhar, Punjab.
3.
Written
permission was obtained from medical superintendent of selected hospitals of Jalandhar, Punjab.
4.
Informed
written consent was obtained from each postnatal mother.
5.
Confidentiality
and anonymity of each study sample was kept throughout the study.
Plan of data analysis:
Data analysis and
interpretation of data was done according to the objectives of the study.
Analysis was done by using descriptive and inferential statistic. Descriptive
statistic used was Frequency, Percentages, Mean and S.D. Inferential statistics
used were ‘t’ and ANOVA test.
MAJOR FINDINGS:
·
50% of
postnatal mothers were between 26-30 years age group in experimental group and
47% were from 20-24 year age group in control group.
·
33% of
postnatal mother were educated up to senior secondary in experimental group and
33% were qualified upto graduation in control group.
·
77% of
postnatal mothers were unskilled both experimental group and 67% in control
group
·
37% of postnatal mothers were having family income 15001and
above in experimental group 30% in control group had monthly income upto Rs.5000.
·
50% of the mothers in were having two child and control group
47% were having only 1 child.
·
70% mothers in experimental group were had LSCS and 53% in
control group were also had LSCS.
·
50% mothers in experimental group were had delivery at
private hospital and 57% in control group were had delivery at government
hospital.
·
70% of mothers in experimental group and in control group 63%
were having nuclear family.
·
60% of mothers in experimental group and 73% in control group
were belonging to Hindu religion.
·
The pre test mean knowledge score of experimental group was
9.30 and post test was 17.63 and pre test knowledge score of control group was
10.73 and post test was 10.83.
·
There was a significant increase in knowledge in experimental
group than the control group. The calculated, t‟ value (20.159) is more than the table value so, the
difference of post test mean knowledge score of experimental group was
statistically highly significant at p<0.05.
·
It was found significant association with the education level
at the level of 0.05% level is 11.223, in occupation at the level of 0.05%
level is 2.763, family income at the level of 0.05% level is3.221,place of
delivery at the level of 0.05% level is 5.123 in experimental group.
·
It was
found significant association with the education level at the level of 0.05%
level is 6.284 and in family income at the level of 0.05% level is 4.533 in
control group.
ACKNOWLEDGEMENT:
My study is purely dedicated to my God and
beloved parents.
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DOI: 10.5958/2454-2652.2016.00005.6