Literature DB >> 30473789

Prevalence and factors associated with incomplete immunization of children (12-23 months) in Kwabre East District, Ashanti Region, Ghana.

Anthony Wemakor1, Gideon Kofi Helegbe2, Alhassan Abdul-Mumin3, Shadrack Amedoe1, Jessica Adjoa Zoku1, Ahimah Ivy Dufie1.   

Abstract

BACKGROUND: Childhood immunization is one of the most cost effective health interventions but its rate has been declining recently in Ghana. Information on immunization coverage and determinants is needed to improve immunization programmes. The objective of this study was to determine the prevalence and factors associated with incomplete immunization of children (12-23 months) in Kwabre East District, Ghana.
METHODS: A cross-sectional, community-based survey involving 322 children and their mothers was carried out. Data were collected on socio-demographic characteristics of mothers, childhood immunization history and mothers' knowledge and practices of immunization using a structured questionnaire. Children were classified as incompletely immunized if they failed to receive at least one of 8 vaccine doses: - one dose of Bacillus Calmette-Guérin (BCG), 3 doses each of pentavalent, 3 doses of polio and one dose of measles per WHO/UNICEF definition. Chi-square and logistic regression analyses were used to identify the factors associated with incomplete immunisation.
RESULTS: The prevalence of incomplete immunization was low (15.5%) suggesting high immunisation coverage but the coverage of the second measles dose, taken at 18 months of age, was the lowest (23.9%). Most of the mothers knew the importance of immunisation (95.7%) and at least one vaccine-preventable disease or symptom (84.9%). Two factors associated with incomplete immunisation in bivariate analyses (community of residence, and mother's knowledge of number of oral polio vaccines given to children) were no longer significant in a logistic regression model. Compared to children in Aboaso, children in Gyamfi Wonoo (AOR = 1.81, 95% CI = 0.80-4.08), Mamponteng (Bonwunu) (AOR = 0.59, 95% CI = 0.24-1.48) and Mamponteng (Town) (AOR = 0.63, 95% CI = 0.26-1.55) had similar odds of incomplete immunisation. Similarly, mother's lack of knowledge of the number of doses of polio vaccine given to children had no effect on the odds of incomplete immunisation (AOR = 0.53, 95% CI = 0.22-1.26).
CONCLUSIONS: Immunization coverage is high in the Kwabre East district but very few children received the second measles dose. None of the maternal and child factors assessed is associated with immunisation coverage. Further research is needed to identify the determinants of immunisation coverage and the reasons for the low uptake of second measles dose in the study area.

Entities:  

Keywords:  Ashanti Region; Children; Determinants of immunisation; Ghana; Immunisation coverage

Year:  2018        PMID: 30473789      PMCID: PMC6240961          DOI: 10.1186/s13690-018-0315-z

Source DB:  PubMed          Journal:  Arch Public Health        ISSN: 0778-7367


Background

Childhood immunization is one of the most cost-effective interventions in health care delivery [1]. In Ghana, the immunization schedule normally requires children to receive 16 vaccine doses from birth up to the age of 23 months [2] but in 2016, a new vaccination was added for protection against meningitis. Children therefore receive a dose of Bacille Calmette-Guerin (BCG) at birth; 4 doses of Oral Polio Vaccine (OPV) at birth, and at 6, 10 and 14 weeks of age; 3 doses of Diphtheria, Pertusis, Tetanus, Haemophilus influenzae type B and Hepatitis B (DPT/HiB/HepB) pentavalent vaccine at 6, 10 and 14 weeks of age, 3 doses of pneumococcal vaccine at 6, 10 and 14 weeks of age, and 2 doses of rotavirus vaccine at 6 and 10 weeks of age. Thereafter, they receive a dose each of yellow fever and combined measles/rubella vaccines at 9 months of age and a dose each of measles-only and meningitis A vaccines at 18 months of age. Immunisation coverage is useful for monitoring the effectiveness of immunisation programmes [3]. In Ghana, the coverage of childhood immunisation had reduced nationally (and also by region) from 79 to 77% with Western Region recording the most reduction from 82 to 69% from 2008 to 2014 [2]. Within the same period the percentage of children that received none of the childhood immunisations increased from 1 to 2% nationally. In the Ashanti region, immunisation coverage reduced from 85% in 2008 to 79% in 2014 [2]. Monitoring immunisation coverage and determinants at sub-national levels is essential for prioritizing and tailoring immunisation campaigns and operational plans to address immunization gaps and reach every child with life-saving vaccines. The objective of this study was to determine the prevalence and factors associated with incomplete immunization of children (12–23 months) in Kwabre East District, Ashanti Region, Ghana.

Methods

A community-based cross-sectional study involving children aged 12–23 months and their mothers/caregivers was conducted in four communities of Mamponteng (Bonwunu), Mamponteng (Town), Gyamfi Wonoo, and Aboaso in four sub-districts in Kwabre East District, Ashanti Region, Ghana. The study period covered January and February, 2017.

Sample size determination and sampling

The minimum required sample size was determined using the single population formula by Snedecor and Cochran n = (t)2*(p)(q)/(d)2, where n = sample size, t = reliability coefficient associated with a selected confidence level, p = estimated proportion of an event of interest, q = p-1, and d = desired margin of error. Using the population size of children aged 11–23 months in the four study communities (n = 792), the coverage of complete immunization in children 11–23 months in the Ashanti Region of 79.0% [2], the reliability coefficient associated with 95% confidence level of 1.96, and the margin of error of 5% a minimum sample size of 192 was estimated. This was multiplied by 1.5 to account for cluster sampling and increased by 10% to obtain the final sample size of 322. The four communities were randomly sampled from four sub-districts and the number of children sampled from each sub-district was proportional to the total number of children 11–23 months in that sub-district. The number of children sampled in the four communities were 65, 89, 79 and 89 for Gyamfi Wonoo, Mamponteng (Town), Aboaso, and Mamponteng (Bonwunu) respectively. Mother-child pairs were selected using systematic random sampling. The sampling interval for each community was obtained by dividing the total number of children in that community by the number of sample required from that community. The starting point was selected randomly from the sampling interval and the sampling interval was added until the required number of children was obtained from the community. Data were collected using a structured questionnaire on socio-demographic factors of mothers and children, immunization history of children and mother’s knowledge and practices of immunization. An immunisation card served as the main source of immunisation history of the child. The questionnaire consisted of both close and open-ended questions prepared based on literature review of previous work done on the subject. The questionnaire written in English was translated into Akan and back-translated into English independently by two persons very proficient in both the English and Akan languages to ensure the accuracy of the translation. Misunderstandings and unclear wordings identified in each case were corrected. The questionnaire was then pre-tested with 50 mother-child pairs in another community with similar characteristics as the study communities and fine-tuned further where necessary. The questionnaire was administered in Akan, the local language spoken in the study area, by three final year students of the Department of Nutritional Sciences, University for Development Studies, Tamale, who speak both English and Akan fluently. These students were trained in questionnaire administration, had excellent understanding of the questionnaire, and participated in the pre-testing of the questionnaire. A supervisor sampled and interviewed some of the interviewees and had comparably the same findings as the enumerators during the pre-testing.

Study variables

Incomplete immunisation

According to the World Health Organisation/UNICEF Guidelines, complete immunization is defined as receipt of one dose of BCG, 3 doses of pentavalent, 3 doses of polio and one dose of measles within the first year of life [4]. Based on this definition any child who did not receive all these 8 vaccine doses before 12 months of age was classified as incompletely immunized. This is the dependent variable of the study.

Household socio-economic status

To assess socio-economic status of households, information was collected on the availability in the households of 14 items: mobile phone, TV set, satellite dish, sewing machine, mattress, radio, DVD player, bicycle, motorcycle, refrigerator, personal computer, electric fan, animal drawn cart, and car. Each household item was scored “1” if present in the household otherwise “0”. Using principal component analysis, a wealth score was derived for each household and the scores were grouped and divided into tertiles: low, medium and high tertiles (See Additional file 1).

Maternal knowledge on immunisation score

To summarize mothers’ knowledge on immunisation, the responses to 6 of the immunisation knowledge questions (i.e., importance of immunisation) were coded and scored. For each of the questions, a correct response was awarded a score of “1” and an incorrect response a score of “0” and all the scores were summed up to give the summary score. The summary score was then divided at midpoint into 2 categories i.e., “low” (0–3 scores) and “high” (4–6 scores).

Data analysis

Data were analyzed using Stata (version 13). The association between maternal and child factors and child immunization status was explored using Chi-square test and logistic regression analysis. Factors that were statistically significant in bivariate analyses with Chi-square were entered into a logistic regression model in order to identify the independent determinants of incomplete immunization. In all analyses, a p-value less than 0.05 was considered statistically significant.

Ethical considerations

Ethics permission for the study was granted by the Ethics Committee of the School of Medicine and Health Sciences/School of Allied Health Sciences, University for Development Studies, Tamale, Ghana. Informed consent was obtained from study participants before interviews were conducted. It was made clear to the study participants that they had the right to withdraw their participation at any time during data collection and that the information being collected will be kept confidential, accessed only by members of the research team and used only for the purposes of this research.

Results

Socio-demographic characteristics of mothers and children

A total of 322 mothers and their children were surveyed. The ages of the mothers ranged from 17 to 55 years with a mean of 29.9 (95% confidence interval = 29.3–30.5) years and most (34.2%) were in the age range 30–34 years (Table 1). The study subjects consisted predominantly of Christians (82.6%) and married mothers (83.5%) and most (35.7%) were of low household wealth tertile. About halve of the children were males (51.2%) and in the age range 12–15 months (45.0%).
Table 1

Socio-demographic factors of parents and children

Socio-demo graphic characteristicFrequency (N)Percent
Age group of mother (years)
  < 255517.1
 25–2910231.7
 30–3411034.2
  > 345517.1
 Total322100.0
Religion
 Christian26682.6
 Non-Christian5617.4
 Total322100.0
Marital status
 Single4413.7
 Married26983.5
 Widowed92.8
 Total322100.0
Ethnicity
 Akan18256.5
 Others14043.5
 Total322100.0
Occupation
 Trading17955.6
 Office work103.1
 Health work61.9
 Teaching226.8
 Housewife5216.1
 Others5316.5
 Total322100.0
Mother’s educational level
 No education268.1
 Primary4614.3
 Middle/ JHS15046.6
 SHS/ Vocational6620.5
 Tertiary3410.6
 Total322100.0
Number of household members
 1–418858.4
  > 413441.6
 Total322100.0
Household wealth index (tertile)
 Low11535.7
 Medium10933.9
 High9830.4
 Total322100.0
No. of children less than 5 years in the household
 119761.2
 211736.3
 3+82.5
 Total322100.0
Community of residence
 Gyamfi Wonoo6520.2
 Mamponteng (Town)8927.6
 Aboaso7924.5
 Mamponteng (Bonwunu)8927.6
 Total322100.0
Age group of child (months)
 12–1514545.0
 16–1911535.7
 20–236219.3
 Total322100.0
Sex of child
 Male16551.2
 Female15748.8
 Total322100.0
Socio-demographic factors of parents and children

Immunisation coverage

Children are required to receive seven vaccine-specific immunisations in six rounds from birth up to 23 months. Immunisation rates for four vaccine-specific immunizations (polio, pentavalent, rotavirus and pneumonia) were at least 90.0% (range 90.1–96.9%) but the rate was about a fifth (23.9%) for measles-only vaccine taken at 18 months of age. The coverage of immunisation increased from 94.7% at first round (at birth) to about 97.0% in rounds 2 (at 6 weeks), 3 (at 10 weeks) and 4 (at 14 weeks) then decreased to 93.5% in round 5 (at 9 months). The coverage of individual vaccine doses was highest (97.8%) for polio 1, pentavalent 1, pneumococcal 1 and rotavirus 1 followed by polio 3, pentavalent 3 and pneumococcal 3 (96.9%). The measles only vaccine taken at round 6 (18 months) had the lowest prevalence 23.9% (Table 2). Of all the children, 272 (84.5%) were fully immunized (i.e. received one dose of BCG, 3 doses each of pentavalent and polio and one dose of measles within first year of life), 50 (15.5%) were partially immunized, and none of the children failed to receive a single vaccine.
Table 2

Coverage of individual vaccine doses

ImmunisationCoverage (N = 322)
N (%)
At Birth (Round 1)
 BCG303 (94.1)
 Polio 0295 (91.6)
 All305 (94.7)
At 6 Weeks (Round 2)
 Polio 1315 (97.8)
 Pentavalent 1315 (97.8)
 Pneumococcal 1315 (97.8)
 Rotavirus 1315 (97.8)
 All315 (97.8)
At 10 weeks (Round 3)
 Polio 2314 (97.5)
 Pentavalent 2314 (97.5)
 Pneumococcal 2314 (97.5)
 Rotavirus 2314 (97.5)
 All314 (97.5)
At 14 Weeks (Round 4)
 Polio 3312 (96.9)
 Pentavalent 3312 (96.9)
 Pneumococcal3312 (96.9)
 All312 (96.9)
At 9 Months (Round 5)
 Measles/rubella298 (92.5)
 Yellow fever294 (91.3)
 All309 (93.5)
At 18 Months (Round 6)
 Measles77 (23.9)
Coverage of individual vaccine doses

Mothers’ knowledge and practices of immunization

A greater majority of the mothers (more than 90%) knew the importance of childhood immunisations (i.e., vaccines protect, build immunity, prevent infections, ensures good health), and symptoms of vaccine preventable diseases with 86.3% able to mention at least one vaccine preventable disease (Table 3). A little over two-thirds (70%) of the mothers knew when children were supposed to complete their immunisations but knowledge on the age at which children receive measles/rubella immunisation (33.2%) and the number of doses of oral polio vaccine (9.9%) was low. Using a summary score for immunisation knowledge, a high percentage of the mothers had knowledge on childhood immunization (66.5%). Majority of respondents indicated that health workers never used unpleasant words on them (66.5%), always communicated the next date of immunisation to them (72.0%), and most said they always explained the significance of childhood immunization (41.3%). On the practice of immunisation, 61.8% and 17.1% of mothers said their children ever experienced fever and abscess at injection site respectively.
Table 3

Mothers’ knowledge and practices of immunization

Immunization knowledge and practicesFrequency (N)Percent (%)
Mother knew the purpose of immunisation
 Yes30895.7
 No144.3
 Total322100.0
Mother mentioned at least one vaccine preventable disease
 Yes27886.3
 No4413.7
 Total322100.0
Mother mentioned at least one symptom of vaccine preventable illnesses
 Yes37886.3
 No4413.7
 Total322100.0
Mother knew age at which measles/rubella immunisation is given
 Yes10733.2
 No21566.6
 Total322100.0
Mother knew the number of doses of oral polio vaccine given to children
 Yes329.9
 No29090.1
 Total322100.0
Mother knew age at which a child is supposed to be fully immunized
 Yes23573.0
 No8627.0
 Total322100.0
Knowledge of immunization score
 Low (0–3)10833.5
 High (4–6)21466.5
 Total322100.0
Child has ever developed fever following immunization
 Yes19961.8
 No12338.2
 Total322100.0
Child has ever developed abscess following immunization
 Yes5517.1
 No26782.9
 Total322100.0
Health worker used unpleasant words on mothers during immunization
 Always144.3
 Sometimes8727.0
 Rarely72.2
 Never21466.5
 Total322100.0
Health worker explained the significance of childhood immunisation to mothers
 Always13341.3
 Sometimes9529.5
 Rarely82.5
 Never8626.7
 Total322100.0
Health worker clearly communicated the next date of immunisation to mothers
 Always23272.0
 Sometimes278.4
 Rarely41.2
 Never5918.3
 Total322100.0
Mothers’ knowledge and practices of immunization

Factors associated with incomplete immunization

Bivariate analyses using Chi-square were performed to identify child-, mother- or household-related factors associated with immunization status of children. In these analyses the community of residence (χ2(3) = 10.624, p = 0.014) and mother’s knowledge of number of oral polio vaccine doses (χ2(1) = 4.298, p = 0.038) were found to be associated with immunization status (Tables 4 and 5), whiles mother’s marital status showed borderline significance (χ2(1) = 3.9181, p = 0.048). No associations were obtained for child characteristics (sex and age), or other maternal and household characteristics evaluated.
Table 4

Association of socio-demographic factors with immunization status of children

Socio-demographic factorIncomplete immunizationTest statistics
No (%)Yes (%)Total
Age group of mother (years)
  < 2544 (80.0)11 (20.0)55χ2 = 6.9540,df = 3, P = 0.073
 25–2982 (80.4)20 (19.6)102
 30–34101 (91.8)9 (8.2)110
  > 3445 (81.8)10 (18.8)55
Religion of mother
 Christian225 (84.6)41 (15.4)266χ2 = 0.015,df = 1, P = 0.902
 Non-Christian47 (83.9)9 (16.1)56
Marital status
 Currently married232 (86.3)37 (13.7)269χ2 = 3.9181,df = 1, P = 0.048
 Not currently married40 (75.5)13 (24.5)53
Ethnicity
 Akan155 (85.2)27 (14.8)182χ2 = 0.1532,df = 1, P = 0.696
 Others117 (83.6)23 (16.4)140
Occupation
 Trading150 (83.8)29 (16.2)179χ2 = 0.1392,df = 1, P = 0.709
 Others122 (85.3)21 (14.7)143
Mothers’ educational level
 None19 (73.1)7 (26.9)26χ2 = 3.959,df = 4, P = 0.412
 Primary37 (80.4)9 (19.6)46
 Middle/JHS129 (86.0)21 (14.0)150
 SHS/vocational school57 (86.4)9 (13.6)66
Household wealth index (tertile)
 Low91 (79.1)24 (20.9)115χ2 = 3.9055,df = 2, P = 0.142
 Medium95 (87.2)14 (12.8)109
 High86 (87.8)12 (12.2)98
Community
 Mamponteng (Bonwunu)80 (89.9)9 (10.1)89χ2 = 10.6245,df = 3, P = 0.014
 Gyamfi Wonoo47 (72.3)18 (27.7)65
 Mamponteng (Town)79 (88.8)10 (11.2)89
 Aboaso66 (83.5)13 (16.5)79
Number of household members
  > 4109 (81.3)25 (18.7)134χ2 = 1.7129,df = 1, P = 0.191
  < = 4163 (86.7)25 (13.3)188
Number of children under five in household
 1169 (85.8)28 (14.2)197χ2 = 0.6688,df = 1, P = 0.413
 2+103 (82.4)22 (17.6)125
Age group of child (months)
 12–15126 (86.9)19 (13.1)145χ2 = 1.4286,df = 2, P = 0.490
 16–1996 (83.5)19 (16.5)115
 20–2350 (80.6)12 (19.4)62
Sex of child
 Male134 (81.2)31 (18.8)165χ2 = 2.74,df = 1, P = 0.098
 Female138 (87.9)19 (12.1)157

Df Degrees of freedom

Table 5

Association of maternal knowledge and practices of immunization with immunization status of children

Immunization knowledge and PracticesIncomplete ImmunisationTest statistics
No (%)Yes (%)Total
Mother mentioned at least one vaccine preventable disease
 Yes236 (84.9)42 (15.1)278χ2 = 0.2736,df = 1, P = 0.601
 No36 (81.8)8 (18.2)44
Mother mentioned at least one symptom of vaccine preventable illnesses
 Yes237 (85.3)41 (14.7)278χ2 = 0.943,df = 1, P = 0.331
 No35 (79.6)9 (20.4)44
Mother knew age at which measles/rubella immunisation is given
 Yes95 (88.8)12 (11.2)107χ2 = 2.2726,df = 1, P = 0.132
 No117 (82.3)38 (17.7)215
Mother knew number of doses of oral polio vaccine given to children
 Yes23 (71.9)9 (28.1)32χ2 = 4.2985,df = 1, P = 0.038
 No249 (85.9)41 (14.1)290
Mother knew age at which a child is supposed to be fully immunized
 Yes204 (86.6)31 (13.2)235χ2 = 3.619,df = 1, P = 0.057
 No68 (78.2)19 (21.887
Knowledge of immunization score
 Low (0–3)88 (81.5)20 (18.5)108χ2 = 1.1080,df = 1, P = 0.293
 High (4–6)184 (86.0)30 (14.0)214
Mother have fears that vaccines can harm children
 Yes47 (83.9)9 (16.1)56χ2 = 0.0153, df = 1, P = 0.902
 No225 (84.6)41 (15.4)266
Child has ever developed fever after immunisation
 Yes173 (86.9)26 (13.1)199χ2 = 2.4086, df = 1, P = 0.121
 No99 (80.5)24 (19.5)123
Child has ever developed abscess after immunization
 Yes45 (81.8)10 (18.2)55χ2 = 0.3562, df = 1, P = 0.551
 No227 (85.0)40 (15.0)267
Health worker used unpleasant words on mothers during immunization
 Always/sometimes83 (82.2)18 (17.8)101χ2 = 0.5903,df = 1, P = 0.442
 Rarely/never189 (85.5)32 (14.5)221
Health worker explained the significance of childhood immunisations to mothers
 Always/sometimes197 (86.4)31 (13.6)228χ2 = 2.221,df = 1, P = 0.136
 Rarely/never75 (79.8)19 (20.2)94
Health worker clearly communicated the next date for immunisation to mothers
 Always/sometimes222 (85.7)37 (14.3)259χ2 = 1.557,df = 1, P = 0.212
 Rarely/never50 (79.4)13 (20.6)63

Df Degrees of freedom

Association of socio-demographic factors with immunization status of children Df Degrees of freedom Association of maternal knowledge and practices of immunization with immunization status of children Df Degrees of freedom In multivariate analysis, factors significant in bivariate analyses with incomplete immunization i.e., community of residence and knowledge of oral polio vaccine doses did not remain significant (Table 6).
Table 6

Multivariate analysis of factors associated with incomplete immunization in bivariate analyses

VariableAdjusted Odds Ratio95% Confidence IntervalP-value
Community of residence
 Aboaso1.00
 Gyamfi Wonoo1.810.80–4.080.156
 Mamponteng (Bonwunu)0.590.24–1.480.266
 Mamponteng (Town)0.630.26–1.550.317
Mothers knew the number of doses of oral polio vaccine given to children
 Yes1.00
 No0.530.22–1.260.148
Multivariate analysis of factors associated with incomplete immunization in bivariate analyses

Discussion

We estimated the prevalence rate of incomplete immunization of children (12–23 months) and sought to identify its maternal and child-related determinants in Kwabre East, Ghana. Almost a sixth (15.5%) of the children surveyed were incompletely immunized suggesting high immunization coverage but among antigen-specific immunisations, measles had the least prevalence (23.9%). The percentage of children fully immunized in this study population (84.5%) is better than both the Ashanti Regional and national coverage rates of 78.9% and 77.0% respectively [2] but lower than observed for children in Techiman (89.5%) [5]. Our rate is slightly higher than the 80.0% coverage rate recommended for districts by 2020 by the Global Vaccine Action Plan [6]. On the African continent, our rate is comparable to a coverage rate reported for children in Nigeria (84.9%) [7] but not for children in Kenya (76.6%) [8]. Apart from measles, which is taken at ages 9 and 18 months, the coverage of the individual vaccines was equally very high. Immunisation coverage is an important indicator of population health and a measure of the quality of health services provided [9]. The 2014 Ghana Demographic and Health Survey has indicated declining immunization rates [2] and this situation may have alerted individual districts (including study district) to increase their efforts in order to increase coverage. The low prevalence of measles-specific immunisation rate may be attributable to the long period (i.e., 9 months) between the first and second measles doses at rounds five and six respectively. In one study done in India the coverage of measles decreased from 34.9% (at first dose) to 22.7% (at second dose) [10]. We assessed mothers’ knowledge and practices of immunization. Generally, the mothers’ immunisation-related knowledge is high and most mothers know the importance of immunization for children, vaccine-preventable diseases and their symptoms, and the age at which children are to complete immunisation. This is against the backdrop that about two-thirds of the women had education up to only Junior High School level and it is known that formal education tends to positively influence health knowledge and behaviour [11]. The percentage of mothers who mentioned correctly the age at which children should complete immunization (73.0%) was higher than reported for mothers in Nigeria (14.1%) [12] and in India (52.4%) [13]. Again, our study recorded a higher percentage of mothers (95.7%) who knew the benefits of immunisation compared to a study done in India (82.0%) [14]. Overall, knowledge on immunization is high and the proportion of mothers (66.5%) with this knowledge can be compared to the 70.0% of mothers reported to be knowledgeable on immunization in Nigeria [15]. The mothers also have positive attitude towards the health workers reporting that they did not use unpleasant words on them. The observations in this study area suggest a combination of maternal interest in child health, availability of child preventive health services and friendly health workers in the District. The study evaluated a range of maternal and child socio-demographic characteristics and maternal immunisation-related knowledge and practices as they have been shown to predict immunisation coverage [5, 16–19]. Among the factors evaluated, the community of residence and mothers’ knowledge of the number of doses of polio vaccines were significant only in bivariate analysis. Although we found a higher prevalence of incompletely immunized children belonging to unmarried mothers compared to married mothers (24.5% versus 13.7%), this did not reach statistical significance (p = 0.048) in bivariate analysis. Overall, we failed to find a link between maternal/child socio-demographic characteristics, household factors or immunization-related knowledge of mothers and children’s immunization status. This may reflect a lack of association between these factors and child immunisation status in the study area or the lack of sufficient power by the study to identify child immunisation determinants. Our study has some limitations that should be considered in interpreting its findings. The use of a cross-sectional study design in which both the immunisation coverage and determinants were assessed at the same time meant that a cause-effect relationship cannot be established. We employed cluster sampling but did not take that into consideration in the analysis. Consequently, we computed 95% confidence intervals for means instead of standard deviations. Our sample size may have been inadequate to identify the determinants of immunisation, if there were, for our study population. Given the high immunisation coverage in the District, children who were not completely vaccinated may have been underrepresented and this may have underpowered the study. Despite these limitations we believe our study provides some insights into the coverage and determinants of childhood immunisation in the Kwabre East District and the findings may be relevant and generalizable to communities in the District with similar characteristics as the study communities.

Conclusions

In exception of the second dose of measles vaccine taken at 18 months of age, the coverage of childhood immunisation in the Kwabre East District is high. However, our study did not find any association between maternal and child socio-demographic characteristics, household factors or immunisation-related knowledge of mothers and coverage of childhood immunisation. Mothers generally have high level of knowledge on childhood immunization. Further studies are required to identify the determinants of incomplete immunisation and to understand the low uptake of the second measles dose in the study area. Education campaigns should focus on the importance of the measles vaccine to improve the uptake of its second dose. Principal component analysis of household items to create a household wealth index. This is a Stata output on the use of principal component analysis to create a household wealth index. (TXT 6 kb)
  10 in total

1.  Effectiveness of planning and management interventions for improving age-appropriate immunization in rural India.

Authors:  Shankar Prinja; Madhu Gupta; Amarjeet Singh; Rajesh Kumar
Journal:  Bull World Health Organ       Date:  2009-08-26       Impact factor: 9.408

2.  Education Improves Public Health and Promotes Health Equity.

Authors:  Robert A Hahn; Benedict I Truman
Journal:  Int J Health Serv       Date:  2015-05-19       Impact factor: 1.663

3.  Factors associated with vaccination coverage in children < 5 years in Angola.

Authors:  Manuel Falcão Saturnino de Oliveira; Edson Zangiacomi Martinez; Juan Stuardo Yazlle Rocha
Journal:  Rev Saude Publica       Date:  2014-12       Impact factor: 2.106

4.  Determinant of factors associated with child health outcomes and service utilization in Ghana: multiple indicator cluster survey conducted in 2011.

Authors:  Duah Dwumoh; Edward Eyipe Essuman; Seth Kwaku Afagbedzi
Journal:  Arch Public Health       Date:  2014-12-01

5.  Evaluation of immunization coverage and its associated factors among children 12-23 months of age in Techiman Municipality, Ghana, 2016.

Authors:  Martin Nyaaba Adokiya; Benjamin Baguune; Joyce Aputere Ndago
Journal:  Arch Public Health       Date:  2017-06-26

6.  Immunization dropout rate and data quality among children 12-23 months of age in Ghana.

Authors:  Benjamin Baguune; Joyce Aputere Ndago; Martin Nyaaba Adokiya
Journal:  Arch Public Health       Date:  2017-04-17

7.  Immunization coverage and its determinants among children aged 12 - 23 months in a peri-urban area of Kenya.

Authors:  Lilian Chepkemoi Maina; Simon Karanja; Janeth Kombich
Journal:  Pan Afr Med J       Date:  2013-01-02

8.  Factors associated with complete immunization coverage in children aged 12-23 months in Ambo Woreda, Central Ethiopia.

Authors:  Belachew Etana; Wakgari Deressa
Journal:  BMC Public Health       Date:  2012-07-28       Impact factor: 3.295

9.  Determinants of vaccination coverage in rural Nigeria.

Authors:  Olumuyiwa O Odusanya; Ewan F Alufohai; Francois P Meurice; Vincent I Ahonkhai
Journal:  BMC Public Health       Date:  2008-11-05       Impact factor: 3.295

10.  Expanded program of immunization coverage and associated factors among children age 12-23 months in Arba Minch town and Zuria District, Southern Ethiopia, 2013.

Authors:  Worku Animaw; Wondimagegn Taye; Behailu Merdekios; Marilign Tilahun; Gistane Ayele
Journal:  BMC Public Health       Date:  2014-05-17       Impact factor: 3.295

  10 in total
  2 in total

1.  Immunization status of children aged 12-23 months in Jonglei State, South Sudan: a cross-sectional epidemiologic study.

Authors:  Jok Peter Mayom Jil
Journal:  Pan Afr Med J       Date:  2022-03-29

2.  Zero-dose children in Turkey: regional comparison of pooled data for the period 1990 to 2018.

Authors:  Mehmet Ali Eryurt; Siddika Songül Yalçin
Journal:  BMC Infect Dis       Date:  2022-05-02       Impact factor: 3.090

  2 in total

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