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. 2018 Nov 19;76:67. doi: 10.1186/s13690-018-0315-z

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

Anthony Wemakor 1,, Gideon Kofi Helegbe 2, Alhassan Abdul-Mumin 3, Shadrack Amedoe 1, Jessica Adjoa Zoku 1, Ahimah Ivy Dufie 1
PMCID: PMC6240961  PMID: 30473789

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.

Electronic supplementary material

The online version of this article (10.1186/s13690-018-0315-z) contains supplementary material, which is available to authorized users.

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

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 characteristic Frequency (N) Percent
Age group of mother (years)
  < 25 55 17.1
 25–29 102 31.7
 30–34 110 34.2
  > 34 55 17.1
 Total 322 100.0
Religion
 Christian 266 82.6
 Non-Christian 56 17.4
 Total 322 100.0
Marital status
 Single 44 13.7
 Married 269 83.5
 Widowed 9 2.8
 Total 322 100.0
Ethnicity
 Akan 182 56.5
 Others 140 43.5
 Total 322 100.0
Occupation
 Trading 179 55.6
 Office work 10 3.1
 Health work 6 1.9
 Teaching 22 6.8
 Housewife 52 16.1
 Others 53 16.5
 Total 322 100.0
Mother’s educational level
 No education 26 8.1
 Primary 46 14.3
 Middle/ JHS 150 46.6
 SHS/ Vocational 66 20.5
 Tertiary 34 10.6
 Total 322 100.0
Number of household members
 1–4 188 58.4
  > 4 134 41.6
 Total 322 100.0
Household wealth index (tertile)
 Low 115 35.7
 Medium 109 33.9
 High 98 30.4
 Total 322 100.0
No. of children less than 5 years in the household
 1 197 61.2
 2 117 36.3
 3+ 8 2.5
 Total 322 100.0
Community of residence
 Gyamfi Wonoo 65 20.2
 Mamponteng (Town) 89 27.6
 Aboaso 79 24.5
 Mamponteng (Bonwunu) 89 27.6
 Total 322 100.0
Age group of child (months)
 12–15 145 45.0
 16–19 115 35.7
 20–23 62 19.3
 Total 322 100.0
Sex of child
 Male 165 51.2
 Female 157 48.8
 Total 322 100.0

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

Immunisation Coverage (N = 322)
N (%)
At Birth (Round 1)
 BCG 303 (94.1)
 Polio 0 295 (91.6)
 All 305 (94.7)
At 6 Weeks (Round 2)
 Polio 1 315 (97.8)
 Pentavalent 1 315 (97.8)
 Pneumococcal 1 315 (97.8)
 Rotavirus 1 315 (97.8)
 All 315 (97.8)
At 10 weeks (Round 3)
 Polio 2 314 (97.5)
 Pentavalent 2 314 (97.5)
 Pneumococcal 2 314 (97.5)
 Rotavirus 2 314 (97.5)
 All 314 (97.5)
At 14 Weeks (Round 4)
 Polio 3 312 (96.9)
 Pentavalent 3 312 (96.9)
 Pneumococcal3 312 (96.9)
 All 312 (96.9)
At 9 Months (Round 5)
 Measles/rubella 298 (92.5)
 Yellow fever 294 (91.3)
 All 309 (93.5)
At 18 Months (Round 6)
 Measles 77 (23.9)

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 practices Frequency (N) Percent (%)
Mother knew the purpose of immunisation
 Yes 308 95.7
 No 14 4.3
 Total 322 100.0
Mother mentioned at least one vaccine preventable disease
 Yes 278 86.3
 No 44 13.7
 Total 322 100.0
Mother mentioned at least one symptom of vaccine preventable illnesses
 Yes 378 86.3
 No 44 13.7
 Total 322 100.0
Mother knew age at which measles/rubella immunisation is given
 Yes 107 33.2
 No 215 66.6
 Total 322 100.0
Mother knew the number of doses of oral polio vaccine given to children
 Yes 32 9.9
 No 290 90.1
 Total 322 100.0
Mother knew age at which a child is supposed to be fully immunized
 Yes 235 73.0
 No 86 27.0
 Total 322 100.0
Knowledge of immunization score
 Low (0–3) 108 33.5
 High (4–6) 214 66.5
 Total 322 100.0
Child has ever developed fever following immunization
 Yes 199 61.8
 No 123 38.2
 Total 322 100.0
Child has ever developed abscess following immunization
 Yes 55 17.1
 No 267 82.9
 Total 322 100.0
Health worker used unpleasant words on mothers during immunization
 Always 14 4.3
 Sometimes 87 27.0
 Rarely 7 2.2
 Never 214 66.5
 Total 322 100.0
Health worker explained the significance of childhood immunisation to mothers
 Always 133 41.3
 Sometimes 95 29.5
 Rarely 8 2.5
 Never 86 26.7
 Total 322 100.0
Health worker clearly communicated the next date of immunisation to mothers
 Always 232 72.0
 Sometimes 27 8.4
 Rarely 4 1.2
 Never 59 18.3
 Total 322 100.0

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 factor Incomplete immunization Test statistics
No (%) Yes (%) Total
Age group of mother (years)
  < 25 44 (80.0) 11 (20.0) 55 χ2 = 6.9540,
df = 3, P = 0.073
 25–29 82 (80.4) 20 (19.6) 102
 30–34 101 (91.8) 9 (8.2) 110
  > 34 45 (81.8) 10 (18.8) 55
Religion of mother
 Christian 225 (84.6) 41 (15.4) 266 χ2 = 0.015,
df = 1, P = 0.902
 Non-Christian 47 (83.9) 9 (16.1) 56
Marital status
 Currently married 232 (86.3) 37 (13.7) 269 χ2 = 3.9181,
df = 1, P = 0.048
 Not currently married 40 (75.5) 13 (24.5) 53
Ethnicity
 Akan 155 (85.2) 27 (14.8) 182 χ2 = 0.1532,
df = 1, P = 0.696
 Others 117 (83.6) 23 (16.4) 140
Occupation
 Trading 150 (83.8) 29 (16.2) 179 χ2 = 0.1392,
df = 1, P = 0.709
 Others 122 (85.3) 21 (14.7) 143
Mothers’ educational level
 None 19 (73.1) 7 (26.9) 26 χ2 = 3.959,
df = 4, P = 0.412
 Primary 37 (80.4) 9 (19.6) 46
 Middle/JHS 129 (86.0) 21 (14.0) 150
 SHS/vocational school 57 (86.4) 9 (13.6) 66
Household wealth index (tertile)
 Low 91 (79.1) 24 (20.9) 115 χ2 = 3.9055,
df = 2, P = 0.142
 Medium 95 (87.2) 14 (12.8) 109
 High 86 (87.8) 12 (12.2) 98
Community
 Mamponteng (Bonwunu) 80 (89.9) 9 (10.1) 89 χ2 = 10.6245,
df = 3, P = 0.014
 Gyamfi Wonoo 47 (72.3) 18 (27.7) 65
 Mamponteng (Town) 79 (88.8) 10 (11.2) 89
 Aboaso 66 (83.5) 13 (16.5) 79
Number of household members
  > 4 109 (81.3) 25 (18.7) 134 χ2 = 1.7129,
df = 1, P = 0.191
  < = 4 163 (86.7) 25 (13.3) 188
Number of children under five in household
 1 169 (85.8) 28 (14.2) 197 χ2 = 0.6688,
df = 1, P = 0.413
 2+ 103 (82.4) 22 (17.6) 125
Age group of child (months)
 12–15 126 (86.9) 19 (13.1) 145 χ2 = 1.4286,
df = 2, P = 0.490
 16–19 96 (83.5) 19 (16.5) 115
 20–23 50 (80.6) 12 (19.4) 62
Sex of child
 Male 134 (81.2) 31 (18.8) 165 χ2 = 2.74,
df = 1, P = 0.098
 Female 138 (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 Practices Incomplete Immunisation Test statistics
No (%) Yes (%) Total
Mother mentioned at least one vaccine preventable disease
 Yes 236 (84.9) 42 (15.1) 278 χ2 = 0.2736,
df = 1, P = 0.601
 No 36 (81.8) 8 (18.2) 44
Mother mentioned at least one symptom of vaccine preventable illnesses
 Yes 237 (85.3) 41 (14.7) 278 χ2 = 0.943,
df = 1, P = 0.331
 No 35 (79.6) 9 (20.4) 44
Mother knew age at which measles/rubella immunisation is given
 Yes 95 (88.8) 12 (11.2) 107 χ2 = 2.2726,
df = 1, P = 0.132
 No 117 (82.3) 38 (17.7) 215
Mother knew number of doses of oral polio vaccine given to children
 Yes 23 (71.9) 9 (28.1) 32 χ2 = 4.2985,
df = 1, P = 0.038
 No 249 (85.9) 41 (14.1) 290
Mother knew age at which a child is supposed to be fully immunized
 Yes 204 (86.6) 31 (13.2) 235 χ2 = 3.619,
df = 1, P = 0.057
 No 68 (78.2) 19 (21.8 87
Knowledge of immunization score
 Low (0–3) 88 (81.5) 20 (18.5) 108 χ2 = 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
 Yes 47 (83.9) 9 (16.1) 56 χ2 = 0.0153, df = 1, P = 0.902
 No 225 (84.6) 41 (15.4) 266
Child has ever developed fever after immunisation
 Yes 173 (86.9) 26 (13.1) 199 χ2 = 2.4086, df = 1, P = 0.121
 No 99 (80.5) 24 (19.5) 123
Child has ever developed abscess after immunization
 Yes 45 (81.8) 10 (18.2) 55 χ2 = 0.3562, df = 1, P = 0.551
 No 227 (85.0) 40 (15.0) 267
Health worker used unpleasant words on mothers during immunization
 Always/sometimes 83 (82.2) 18 (17.8) 101 χ2 = 0.5903,
df = 1, P = 0.442
 Rarely/never 189 (85.5) 32 (14.5) 221
Health worker explained the significance of childhood immunisations to mothers
 Always/sometimes 197 (86.4) 31 (13.6) 228 χ2 = 2.221,
df = 1, P = 0.136
 Rarely/never 75 (79.8) 19 (20.2) 94
Health worker clearly communicated the next date for immunisation to mothers
 Always/sometimes 222 (85.7) 37 (14.3) 259 χ2 = 1.557,
df = 1, P = 0.212
 Rarely/never 50 (79.4) 13 (20.6) 63

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

Variable Adjusted Odds Ratio 95% Confidence Interval P-value
Community of residence
 Aboaso 1.00
 Gyamfi Wonoo 1.81 0.80–4.08 0.156
 Mamponteng (Bonwunu) 0.59 0.24–1.48 0.266
 Mamponteng (Town) 0.63 0.26–1.55 0.317
Mothers knew the number of doses of oral polio vaccine given to children
 Yes 1.00
 No 0.53 0.22–1.26 0.148

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, 1619]. 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.

Additional file

Additional file 1: (6.9KB, txt)

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)

Acknowledgements

We thank the parents who participated in the study.

Funding

The study was funded by the authors.

Availability of data and materials

The minimal dataset analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BCG

Bacillus Calmette–Guérin

OPV

Oral Polio Vaccine

Authors’ contributions

AW conceived and designed the study. Data were collected by SA, JAZ and AID under the supervision of GKH and AAM. The collected data were analysed by AW. GKH and AAM drafted the manuscript and AW contributed to it. All authors read and approved the final manuscript.

Authors’ information

AW holds a PhD and is a Lecturer in the School of Allied Health Sciences, University for Development Studies (UDS), Ghana. GKH holds a PhD and is a Senior Lecturer in the School of Medicine and Health Sciences, UDS, Ghana. AAM is a Fellow of Ghana College of Physicians and a Senior Lecturer in the School of Medicine and Health Sciences, UDS, Ghana. SA, JAZ and AID hold BSc degrees.

Ethics approval and consent to participate

The study was approved by the Institutional Review Board of School of Allied Health Sciences/School of Medicine and Health Sciences, University for Development Studies, Tamale, Ghana. The study participants were also informed about the objectives of the study, privacy and data protection and gave informed consent prior to being enrolled into the study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Contributor Information

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: (6.9KB, txt)

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)

Data Availability Statement

The minimal dataset analysed during the current study are available from the corresponding author on reasonable request.


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