Factors
predicting immunization coverage in Tikrit city
.........................................................................................................................
Sarab K. Abedalrahman
(1) , Ashoor R. Sarhat
(2) , Ruqiya S.Tawfeek
(3)
- M. B. Ch. B. , M. Sc in community medicine.
community medicine specialist,
Salah - Al- Deen Health Directorate
- C. A. B. Pediatrics,D.C.H, M.B.Ch.B. Dep.
of Pediatrics, Tikrit College of Medicine.
- M.B.Ch.B, F.I.C.M.S. Dep. of community
medicine, Tikrit College of Medicine.
.........................................................................................................................
|
ABSTRACT
Background:
Immunization is a key health intervention
to reduce child mortality.
Objectives: To determine coverage of an
expanded immunization programme and factors
predicting vaccination delay.
Methods:
A simple random cross sectional study
was done in Tikrit city, on 282 children
under 2 years, by face to face interview
using a standard questionnaire. Data were
analyzed in SPSS statistical program.
Simple and multiple linear regression
and logistic regression was used to analyze
factors predicting immunization status.
Results:
Fully vaccinated children aged 0-11 months,
and 12-23 months was 32.2 %, 47.4% respectively.
Vaccination coverage among children aged
12-23 months old was BCG 83.9%, DPT1/POV
74%, DPT2/POV 69.8%, DPT3/POV 65.1%, Measles
58.3%, MMR 35.4%, Booster 14.6%. MMR coverage
for children with urban literate mothers
was 44.4% and 24.4% for children with
rural literate mothers, 30.8% for those
with urban illiterate and 14.3% for rural
illiterate mothers. Univariate and multiple
logistic regression analysis showed that
the number of children and residence associated
with vaccination coverage. Multiple regression
equation was highly significant for mother
education, number of children, residence.
Conclusions:
Full vaccination rates for both age groups
were lower than previously reported in
the area. An intervention programme should
be considered, particularly in low coverage
rate groups.
|
Key
words: immunization coverage, immunization
in Tikrit city
..........................................................................................................................
It is the right of every
child to be immunized and the duty of every
parent to ensure this[1]. Child immunization
is one of the most cost effective public health
interventions for reducing child morbidity and
mortality, and attaining high levels of coverage
with potent vaccines administered at the appropriate
ages[2]. Immunization program managers and service
providers need continuous information to know
of the immunization services accessible to the
target population. How many individuals in the
target population are being vaccinated? Who
is not being vaccinated and why?[3].
The EPI Programme was initiated
in Iraq in the early 1980s, and expanding to
national coverage in the mid-1980s. Coverage
increases steeply but after 1990 coverage declines
gradually due to international sanctions. Estimates
since 1999 are based on 1999 survey data point.
No reliable data are available to show current
level of immunization coverage. Officially reported
data in the 1990s tends to overestimate coverage[4].
Therfore this study was done to evaluate the
coverage rate of vaccination and the factors
predicting vaccination delay, in order to find
the risk groups in need of comperhensive interferance.
A cross sectional study was
done in Tikrit teaching hospital by pediatric
consultants, during the period between 15th
February to 30th May. A sample of 282 children
aged (0-23) months were chosen randomly, and
the data collected by face to face interview
using a standard questionnaire containing questions
about child age, sex, vaccination schedule,
mother's job, education, and residence area.
The information on vaccination received by the
child was collected depending on the child immunization
card, and if not present on the history, taken
from the mother, depending on her recall.
Fully immunized child is
defined as a child of age 12-23 months who received
three doses of Oral Polio Vaccine (OPV), three
doses of DTP, and one dose each of Bacille Calmette-Guerin
(BCG) and measles vaccines before age 12 months,
and considered partially immunized if he/she
received fewer than these immunizations doses,
and considered "not immunized" if
he/she did not receive any vaccine. Mothers
were considered illiterate if she could not
read or write and literate if she could.
Data were entered and analyzed
in SPSS Version 7.5 statistical program. Immunization
differences were reported as statistically significant
when Chi square P value is less than 0.05 simple
linear regression, multiple regression and logistic
regression (by Enter method) was performed to
analyze which factors predicted mothers compliance
with childhood immunization.
About 62 (22%) of mothers were illiterate and
220 (78%) literate, the majority of mothers
were aged 15-25 years old, 148 (52.5%), did
not work 192 (68.1%), were from urban areas
159 (56.4%), and those who had 1-2 child under
5 years old 215 (76.2%).
Among children aged 12-23 months, 24 (12.5%)
were not vaccinated, 77 (40.1%) had not completed
their vaccination, and only 91 (47.4) were fully
immunized, while among children aged 0-11 months
was 29 (32.2 %) who had completed vaccination
, and 37 (41.1%) of them were not vaccinated
as shown in Table 1.
The vaccination coverage among children aged
12-23 months old for BCG was 83.9%, DPT1/POV
74%, DPT2/POV 69.8%, DPT3/POV 65.1%, Measles
58.3%, MMR35.4%, Booster 14.6% as shown in
Table 2.
The dropout from DPT1to DPT3 was 11.9%, from
BCG to DPT3 was 11.8, and from DPT3 to measles
vaccine was 10.4%.
The BCG coverage for children with urban literate
mothers was 92.9% and 68.8% for children with
rural literate mothers, 92.3% for those with
urban ilitrate and 16.9%and 16.9% for children
with rural illiterate mothers. The MMR coverage
for children with urban literate mothers was
44.4% and 24.4% for children with rural literate
mothers, 30.8% for those with urban illiterate
and 14.3% for rural illiterate mothers (P value=
0.03)as shown in Figure.1.
The univariate analysis showed that the number
of children and the residence independently
associated with vaccination coverage and multiple
logistic regreression analysis showed that number
of children and the residence significantly
predicted vaccination compliance among children
aged 12-23 monthes old (Table
3).
The multiple regression equation for the factors
predicting fully vaccinated status of 12-23
months old children was significant for mother
education, number of children, residence, child
sex, mother age, mother job (p =0.017) and highly
significant for mother education, number of
children, residence (p =0.002) as shown in (Table
4).
The information
on vaccination was taken from the child immunization
card, and immunization history taken from the
mother depending on her recall as it is reliable[5,6].
In this study the vaccination coverage for the
first year of life is: BCG 57.8%, DPT1 46.7%,
DPT2 27.8%, DPT3 11.1%; and these were lower
than previous results in Tikrit; BCG 96%, DPT1
89%, DPT2 80%, DPT3 75%[7]. The vaccination
coverage for the second year of life was lower
than the estimated levels by UNICEF and WHO
reports (BCG 93%, DPT1 93% DPT3 81%, MCV 90%)
and the government official reports (BCG 95%,
DPT1 96% DPT3 84%, MCV 85%). This difference
may be due to difficult access to populations
as well as a likely underestimation of the denominator[4].
The vaccination coverage for all vaccines was
lower than that found in Ethiopia, and Istanbul[8,9].
In this study, fully-vaccinated children aged
0-11 months was 32.2% in comparison to 57% of
that found by Mohammed. M et al, and was 47.4%
for children aged 12-23 months in comparison
to that found by Takelay Kidance and Michael
Tekie and Topuzoglu A et al 75.5%, 68.3% respectively[7,8,
9]. But these results are higher than that found
in Delhi 41.4%[10].
In this study,
the not vaccinated children among all children
was 21.6% in comparison to 4%, that found by
Al Hilfy T.K and Essa A, and this difference
may be due to the fact that their data was collected
in the PHCCs and this gives the high coverage
rate[11]. Access to immunization services was
83.9% (BCG) and 74% (DPT1/pov), but fully vaccinated
children was 47.4%, which means a default in
the programe success[2]. These results differ
from that found by Al-Sheikh OG, et al; that
access to immunization services were BCG 97%
in urban and 92% in rural areas in comparison
to 60% of urban children, and 28% of rural children
being fully immunized[12]. The drop out of BCG
to DPT3-OPV was 11.8%, DPT1-OPV to DPT3-OPV
was 11.9%, DPT3-OPV to measles was 10.4%, which
indicates a default in programme performance
and poor communication between health worker
and parents[2]. The drop out from vaccination
gives the impression that with increasing child
age the coverage will decrease and this is what
wasv found by Al-Sheikh OG. et al [12], and
Farizo et al[13].
In this study
the drop out rate of DPT1/pov to DPT3/pov was
lower than that in Delhi 18%[10].
These results may be explained
by the delivery system of immunization which
has many inherent problems to which an addition
may be made by the people themselves, with their
prejudices, carelessness and apathy[14]. Other
national factors can be added; overloading as
the city loaded with thousands of families coming
from other governorates, or to lack of some
vaccines in the primary health care centers,
difficult transportation due to insecurity and
lack of fuel, or to lack of awareness of the
importance of immunization and the need for
continuingdoses, and lastly the idea that the
vaccines may be unhealthy or toxic and may kill
their children, as a part of civil war, as it
noticed that multiple families refuse vaccination,
as found by Mohammed. M et al that 28.7% of
mothers fear side effects of the vaccine, and
43% of mothers lack of awareness [7].
In this study, the children of
literate-urban mothers are more likely to have
completed vaccination, than the children of
literate rural mothers. This finding is supported
by researchers, who found that vaccination coverage
was higher in urban than in rural areas[12,15,16].
In contrast, Takelay Kidance and Michael Tekie
found the opposite[8].
n this study, the univariate and
multivariate analysis shows that the vaccination
status was significantly associated with residence
and number of children >5 years old in the
family. This is supported by Takelay Kidance
and Michael Tekie,[8] who found that there is
a significant association between the residence
and mother's education and vaccination status
of the children by using the multiple logistic
regrression analysis, and that found by Cutts
FT.[17] et al and Diaz T. et al[18] that the
vaccination completion was determined by the
mother's experience with vaccination services.
The multiple linear regression
highly associated with mother's education, number
of children, residence (p value 0.002), gives
a view about the risk groups which the programme
efforts must concentrate on. This finding was
supported by Cutts FT.[17] et al and Diaz T.
et al[18] who found that vaccination completion
was determined by the mother's educational level,
employment status and experience with vaccination
services, and by Takelay Kidance and Michael
Tekie,[8] who found it significantly associated
with residence and mother education, while,
Topuzoglu A etal and Simonetti A. et al found
a significant association between high socio-economic
status and coverage level[9,19].
|
Table 1.
Immunization status according to child
age |
|
|
vaccination status
|
Total
|
|
not vaccinated
|
complete
|
incomplete
|
|
child age
|
0-11 month
|
37 (41.1)
|
29 (32.2%)
|
24 (26.7%)
|
90 (100%)
|
|
|
12-23 month
|
24 (12.5%)
|
91 (47.4%)
|
77 (40.1%)
|
192 (100%)
|
|
Total
|
61 (21.6%)
|
120 (42.6%)
|
101 (35.8%)
|
282 (100%)
|
Back
to text
| Table
2. The
vaccination coverage according to the
child’s age. |
|
Type of vaccine
|
0-11 month N (%) denominator=90
|
12-23 month N(%) denominator=192
|
|
BCG
|
52 (57.8%)
|
161 (83.9%)
|
|
DPT1/POV
|
42 (46.7%)
|
142 (74%)
|
|
DPT2/POV
|
25 (27.8%)
|
134 (69.8%)
|
|
DPT3/POV
|
10(11.1%)
|
125(65.1%)
|
|
Measles
|
4(4.4%)
|
112(58.3%)
|
|
MMR
|
0(0%)
|
68(35.4%)
|
|
Booster 1
|
0(0%)
|
28(14.6%)
|
|
Figure 1. Immunization coverage (%) of 12-23 months
old children by residence and maternal
education.
|
BCG p=0.2 ,
DPT1 p=0.3, DPT2
p=0.3, DPT3 p=0.4, Measles p=0.4
MMR p=0.03, Booster p=0.07
Back to text
| Table
3.
Factors predicting fully vaccinated
status of 12-23 months old children. |
|
Risk factor
|
not fully
|
Univariate
|
multivariate
|
95% CI
|
P-value
|
|
vaccinated/total
|
OR
|
OR
|
|
|
|
Mother literacy
|
|
|
|
|
|
illiterate
|
21/34
|
0.68
|
0.635
|
0.2-1.3
|
0.1
|
|
Literate
|
80/158
|
1.08
|
|
|
|
|
Residance
|
|
|
|
|
|
|
Rural
|
44/66
|
0.55
|
2.4
|
1.3-4.5
|
0.004
|
|
urban
|
57/126
|
1.34
|
|
|
|
|
NO. of children
|
|
|
|
|
|
1-2 child
|
67/145
|
1.29
|
3.04
|
1.48-6.2
|
0.001
|
|
> 2 child
|
34/47
|
0.42
|
|
|
|
|
sex
|
|
|
|
|
|
|
Male
|
56/104
|
0.95
|
0.89
|
0.5-1.5
|
0.4
|
|
Femal
|
45/88
|
1.06
|
|
|
|
|
Table
4. Multiple regression equation
for the factors predicting fully vaccinated
status of 12-23 months old children.
|
|
Model
|
R
|
R square
|
Adjusted R Square
|
Std. Error of the
Estimate
|
Sig*.
|
|
1
|
0.085a
|
0.007
|
0.002
|
0.5001
|
0.240a
|
|
2
|
0.23b
|
0.055
|
0.045
|
0.4892
|
0.004b
|
|
3
|
0.271c
|
0.073
|
0.058
|
0.4858
|
0.002c
|
|
4
|
0.273d
|
0.074
|
0.055
|
0.4867
|
0.006d
|
|
5
|
0.276e
|
0.076
|
0.052
|
0.4875
|
0.011e
|
|
6
|
0.281f
|
0.079
|
0.050
|
0.4881
|
0.017f
|
*significant tested by ANOVA
a. Predictors: (Constant), mother education
b. Predictors: (Constant), mother education,
number of children
c. Predictors: (Constant), mother education,
number of children, residence
d. Predictors: (Constant), mother education,
number of children, residence, child sex
e. Predictors: (Constant), mother education,
number of children, residence, child sex, mother
age
f. Predictors: (Constant), mother education,
number of children, residence, child sex, mother
age, mother jobe
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