Abstract
Background
Pakistan has a high burden of newborn mortality, which would be significantly preventable through appropriate routine immunization. The purpose of this study was to measure the basic timely childhood immunization coverage and to identify determinants of factors influencing childhood immunization coverage in Sindh, Pakistan.
Methods
Data from Maternal and Child Health Program Indicator Survey 2013–2014 which was conducted in Sindh province of Pakistan was used. Outcome measure was full coverage of the basic immunization schedule from child’s vaccination card. The association of receiving basic immunization with demographic factors, socioeconomic status, mother and child health information sources, and perinatal care factors were tested by binary logistic regression.
Results
Among 2,253 children, 1,156 (51.3%) received age-based full basic immunization. The basic immunization rates were 69.1% for under five weeks old, 38.3% for six to nine weeks, 18.8% for 10–13 weeks, 44.0% for 14 weeks-eight months, 60.4% for nine to 11 months, and 59.1% for over one year. Child’s age, number of living children, parents’ education level, wealth, the source of mother and child health information, number of antenatal care, and assistance during delivery were associated with completing basic immunization.
Conclusions
The overall full basic immunization coverage in Pakistan was still low. Policy makers should identify children at risk of low immunization coverage and obstacles of receiving antenatal care, implement educational interventions targeting on less educated parents, and conduct mass immunization campaigns for timely and complete immunization.
Introduction
Children across Pakistan are at risk of falling ill with life-threatening diseases because of lack of access to vaccinations. Approximately, 400,000 children under five years of age die every year from vaccine-preventable diseases in Pakistan [1]. The Pakistan Demographic Health Survey from 2013 estimated that almost three million children dropped out of the basic course of vaccines every year [1]. The survey of Pakistan Social and Living Standards Measurement (2014–15) showed that Pakistan’s full immunization coverage was 60%. In addition, the coverage rate stood at 27–70% with large variations between the provinces, districts and communities [2].
Given the low vaccination rates in Pakistan, immunization programs play an essential role in the strategy to raise the level of herd immunity, ultimately reducing child mortality. In communities with herd immunity through sufficient immunization coverage of the population, vulnerable children are protected because the majority of individuals they come into contact with are immune and therefore incapable of spreading communicable disease [3]. In addition, timing of childhood immunization is critical because if children are immunized too early or if the immunizations are too closely spaced, it can significantly shorten the duration of protection or interfere with the immune response [4, 5]. Delayed immunizations lead to prolonged potential exposure to vaccine-preventable diseases [6, 7]. Hence, it is important to assess when, not just if, children are receiving immunizations. The current immunization schedule in Pakistan was first introduced in July 2011 [8] (Table 1).
Table 1. Immunization schedule in Pakistan and definition of full basic immunization.
Immunization schedule | Definition of full basic immunization, by age group | ||
---|---|---|---|
Age | Immunizations | Age group | Requirements for full basic immunization |
At birth | BCG+ Polio 0 | 0–5 weeks | BCG, Polio 0 |
6 weeks | Penta 1 + Polio 1 | 6–9 weeks | BCG, Polio 0, Polio 1, Penta 1 |
10 weeks | Penta 2 + Polio 2 | 10–13 weeks | BCG, Polio 0, Polio 1, Polio 2, Penta 1, Penta 2 |
14 weeks | Penta 3 + Polio 3 | 14 weeks– 8 months | BCG, Polio 0, Polio 1, Polio 2, Polio 3, Penta 1, Penta 2, Penta 3 |
9 months | Measles 1 | 9–11 months | BCG, Polio 0, Polio 1, Polio 2, Polio 3, Penta 1, Penta 2, Penta 3, Measles 1 |
12–15 months | Measles 2 | 12 months– 23 months | BCG, Polio 0, Polio 1, Polio 2, Polio 3, Penta 1, Penta 2, Penta 3, Measles 1, Measles 2 |
BCG: Bacillus Calmette–Guérin (BCG) is an antituberculosis vaccine.
Penta: Pentavalent vaccine for diphtheria, tetanus, acellular pertussis, poliomyelitis, and Haemophilus influenzae type b
Understanding factors that influence immunization coverage is essential to increase routine immunization coverage rates. Several studies found that substantial health inequity according to socioeconomic status, such as residency [9], wealth [9–11], educational status [9, 11, 12], and number of children in a household [13, 14], affects immunization coverage. In addition, immunization coverage is influenced by mother and child health information sources, such as antenatal care (ANC) visits [15] and accessibility to mass media [10, 11, 16].
Information about factors that influence immunization coverage might be valuable for healthcare providers and policy makers to develop and provide effective programs, contributing to the increase in the childhood immunization coverage rates [1]. Although the need to improve routine immunization across all regions and districts in Pakistan has been strongly emphasized [1], influencing factors have not been examined in depth. The purpose of this study was to measure the basic timely childhood immunization coverage and to identify determinants such as age group, socio-demographic characteristics, information sources, and perinatal care that influence childhood immunization coverage in Sindh, one of the four provinces of Pakistan.
Methods
Data and subjects
We used survey data in 2013 and 2014 from the Maternal and Child Health (MCH) Program Indicator Survey which was conducted in Pakistani province of Sindh [17]. Sindh province is located in the southeastern part of Pakistan. Its area is 140,914 km2 and it includes approximately 44 million people [18]. In Sindh, total fertility rate was 3.9, the under-five mortality rate was 93 deaths per 1,000 live births, and the infant mortality rate was 74 per 1,000 live births from the results of Pakistan Demographic and Health Survey (PDHS) 2012–2013 [18].
The MCH Program Indicator Survey was set to monitor the implementation of maternal, newborn, and child health (MNCH) and family planning/reproductive health interventions by the United States Agency for International Development (USAID) [17]. The survey instrument was based on the PDHS instrument developed by Macro International, Inc. and the Knowledge, Practice and Coverage Survey instrument developed by the Johns Hopkins University/Child Survival Support Program 1990 [17]. The study team pilot tested the survey questionnaire in the local languages of Urdu and Sindhi.
This survey data is from 23 districts of Sindh province. The sample is representative of urban and rural areas of Sindh. It is a cross-sectional study using a multi-stage, stratified sampling design. Based on the most recent Census of Pakistan in 1998, USAID used a disproportionate sampling approach to allocate the sample in districts in rural and urban areas for better representation of smaller districts. Then probability proportionate to size method was used to select cities and villages. USAID allocated a maximum of 10 participants in each village and 15–200 participants in each selected city to take part in the study. Finally, data were collected in all 23 districts of Sindh from June to October in 2013 and 2014 [17]. The study participants included married women 15–49 who had a live birth in the two years prior to the survey and who resided in the houses sampled for study participation. Only one study participant was selected from a household. Each woman completed questionnaires about her last live birth. An assessment of data quality was conducted by the director of Monitoring and Evaluation of the MNCH Services Component after the data were made available for analysis. Both internal and external validity checks were conducted.
The study was approved by the Johns Hopkins University School of Public Health Institutional Review Board (IRB00005002) and the National Bioethics Committee of Pakistan. Both Institutional Review Boards approved the verbal consent. Female interviewers obtained informed consent verbally from each respondent and then signed the consent form on behalf of the respondent. Interviewers were required to sign the consent form attached to the survey questionnaire to confirm that they had read the informed consent script.
Outcome measure
The primary outcome variable was full coverage of the basic immunization schedule (Table 1). Survey respondents were asked to show their child’s vaccination card, so that data collectors could collect their immunization records. Secondly, we evaluated the percent of children in a certain age group who had received all of the immunizations as per the national recommended immunization schedule for a child that age. For this purpose, we categorized children’s age into under five weeks, six to nine weeks, 10 weeks-13 weeks, 14 weeks–eight months, nine months-11 months, and 12 months-23 months. Definitions of full basic immunization per age group are presented in Table 1.
Independent variables
Demographic factors, socioeconomic status, MCH information sources, and factors regarding perinatal care were included to identify the factors associated with immunization conditions in this study. These independent variables were derived from previous studies [19, 20] and MCH Program Indicator Survey report [17].
Mother’s age and number of living children were included as demographic factors. The mother’s age was classified into 15–24, 25–34, 35 and older, and number of living children was classified into one, two, three, four, and five- based on MCH Program Indicator Survey report [17]. To determine socioeconomic status of the respondents, data was collected on rural-urban residence, mother’s and father’s education, and household wealth. Wealth index was calculated by principal components analysis based on the household ownership of assets [8]. Principal component analysis is a well-known statistical method to reduce dimensionality [21] and was used to assess household wealth based on the value of 35 households’ assets. Thus, we made a wealth variable from the value of 35 household assets. After calculating the index, it was classified into quintiles.
MCH information source was assessed by asking, “During the last 12 months have you received any information about MCH from the following sources?” Responses were categorized into health professionals (doctor, nurse/midwife, lady health visitor), lower-level health workers (Dai-traditional birth attendant, lady health worker, homeopath, Hakim-herbal medicine practitioner, outreach worker), relatives/friends, and media (radio, TV, telephone helpline, text message on mobile phone, health education/awareness session, print media). Binary variables (yes/no) for each response in MCH information source were included. Number of ANC visits, assistance during delivery, and place of delivery were included as factors of perinatal care.
Statistical analysis
Data from 2013 and 2014 were pooled for this analysis. A chi-squared test was used to test distribution of general characteristics for the bivariate analysis, between full basic immunization and independent variables. For multivariate analysis, binary logistic regression was used to investigate factors associated with full basic immunization. The criterion for significance was p≤0.05, two-tailed. Odds ratio (OR) and 95% confidence interval (CI) were calculated. We presented the crude OR and adjusted OR in our results table. The adjusted OR were results of binary logistic regression by adjusting all the independent variables (children’s age, mother’s age, number of living children, residence, mother’s education, father’s education, wealth, MCH information source, number of ANC visits, assistance during delivery, place of delivery). All analyses were performed in SAS version 9.4 (SAS Institute, Cary, NC, USA).
Results
Data were collected from a total of 10,200 women, 4,000 women in 2013 and 6,200 women in 2014. Details of the study population selection is shown in Fig 1; 602 subjects were excluded because of missing variables for wealth (N = 34), father’s education level (N = 94), mother’s education level (N = 21), mean number of living children (N = 23), ANC use information (N = 309), and immunization care (N = 121) (Fig 1). Then respondents who did not have a vaccination card (N = 3,923) and did not/could not show a vaccination card (N = 3,422) were excluded. Finally, 2,253 subjects were selected as study population.
Table 2 shows the general characteristics of the mothers and children that were included in the study. Among 2,253 children, 1,156 children (51.3%) received age-based full basic immunization. The percentage of children having received full basic immunization varied by children’s age (Fig 2); 69.1% of the children under five week old had received full basic immunization, compared with 38.3% for children aged six weeks—nine weeks and just 18.8% for children age 10 weeks-13 weeks.
Table 2. Percentage of children age 0–23 months who have completed full basic immunization, by age group, sociodemographic characteristics, information sources, and perinatal care.
Full basic immunization | Total (n = 2,253) | p-value | |||
---|---|---|---|---|---|
Yes (n = 1,156) | |||||
N | % | N | |||
Children’s age | 0–5 weeks | 67 | 69.1 | 97 | < .001 |
6–9 weeks | 41 | 38.3 | 107 | ||
10–13 weeks | 19 | 18.8 | 101 | ||
14 weeks-8 months | 372 | 44.0 | 845 | ||
9–11 months | 233 | 60.4 | 386 | ||
12–23 months | 424 | 59.1 | 717 | ||
Demographic factors | |||||
Mother's age | 15–24 | 381 | 49.0 | 777 | 0.287 |
25–34 | 652 | 52.6 | 1239 | ||
35- | 123 | 51.9 | 114 | ||
Number of living children | 1 | 315 | 47.6 | 662 | 0.083 |
2 | 308 | 55.3 | 557 | ||
3 | 193 | 52.2 | 370 | ||
4 | 136 | 53.5 | 254 | ||
5+ | 204 | 49.8 | 410 | ||
Socioeconomic status | |||||
Residence | Rural | 331 | 47.8 | 692 | 0.089 |
Town/Small city | 420 | 53.0 | 793 | ||
Large city | 405 | 52.7 | 768 | ||
Mother’s Education |
No education | 420 | 44.5 | 943 | < .001 |
Primary or middle | 328 | 52.6 | 624 | ||
Secondary or higher | 408 | 59.5 | 686 | ||
Father's education | No education | 248 | 43.1 | 576 | < .001 |
Primary or middle | 251 | 48.5 | 517 | ||
Secondary or higher | 657 | 56.6 | 1,160 | ||
Wealth quintile | First (poorest) | 60 | 35.1 | 171 | < .001 |
Second | 124 | 44.4 | 279 | ||
Third | 250 | 52.2 | 479 | ||
Fourth | 315 | 49.7 | 634 | ||
Fifth (richest) | 407 | 59.0 | 690 | ||
Information about maternal and child health received from: | |||||
Health professional | No | 486 | 44.9 | 1,083 | < .001 |
Yes | 670 | 57.3 | 1,170 | ||
Low-level health workers† | No | 1027 | 51.5 | 1993 | 0.561 |
Yes | 129 | 49.6 | 260 | ||
Relatives/friends | No | 476 | 44.7 | 1064 | < .001 |
Yes | 680 | 57.2 | 1189 | ||
Media‡ | No | 734 | 47.3 | 1,551 | < .001 |
Yes | 422 | 60.1 | 702 | ||
Health care during pregnancy and delivery | |||||
Number of antenatal care visits | 1–2 | 160 | 40.9 | 391 | < .001 |
3 | 167 | 53.7 | 311 | ||
4+ | 829 | 53.4 | 1,551 | ||
Assistance during delivery | Traditional birth attendant | 945 | 53.1 | 1,779 | < .001 |
Health professional | 205 | 45.7 | 449 | ||
No one/others | 6 | 24.0 | 25 | ||
Place of delivery | Home | 239 | 44.1 | 542 | < .001 |
Private facility | 718 | 54.1 | 1,327 | ||
Public facility | 199 | 51.8 | 384 |
†Low-level health workers included Dai-traditional birth attendant, lady health worker, homeopath, Hakim-herbal medicine practitioner, and outreach worker.
‡Media included radio, TV, telephone helpline, print media, health education/awareness session, and text message on mobile phone.
Based on the results of chi-square test, children’s age, mother’s education, father’s education, wealth quintile, MCH information source (health professional, relatives/friends, media), number of ANC visits, assistance during delivery, and place of delivery were significant. The proportion steadily increased among older age groups, from 44.0% of children age 14 weeks-eight months, to 60.4% of children aged nine-11 months, and 59.1% of children aged one year. Higher education level in both father and mother showed higher proportion of full basic immunization. High wealth group showed a high proportion of full basic immunization, but the proportion of the fourth wealth group (49.7%) was lower than the third wealth group (52.2%). Women who received MCH information from health professionals, relatives/friends, and media showed a higher proportion of full basic immunization than those who did not. Women who only visited the ANC clinic 1–2 times showed the lowest proportion of full basic immunization (40.9%). The proportion of full basic immunization in women whose birth was assisted by a traditional birth attendant was 53.1%. It was 45.7% in health professional, 24.0% in no one/others. Women who delivered at home showed the lowest proportion (44.1%), compared to 54,1% in women who gave birth in private facilities, and 51,8% in women who gave birth at public facilities (Table 2).
Table 3 shows the results of crude and adjusted binary logistic regression. Compared to children who were under five weeks old, older children were less likely to have completed age-based basic immunization except children who were nine-11 months. Children who were nine-11 months showed OR = 0.64, but it was not significant compared to children who were under five weeks old. Hence, the proportion of children with completed full basic immunization was higher for children age under five weeks. Compared to the children under five weeks old, the OR of children who were six-nine weeks were 0.25 (95% CI, 0.14–0.45), the OR of children who were 10–13 weeks old showed the lowest result (OR, 0.09; 95% CI, 0.05–0.18), the OR of children who were 14 weeks–eight months were 0.34 (95% CI, 0.21–0.54) and the OR of children who were over 12 months were 0.59 (95% CI, 0.37–0.94) (Table 3).
Table 3. Results of logistic regression for full basic immunization (n = 2,253).
Crude | Adjusted† | ||||||
---|---|---|---|---|---|---|---|
OR | 95% Confidence Interval | OR | 95% Confidence Interval | ||||
Children’s age | 0–5 weeks | 1.00 | 1.00 | ||||
6–9 weeks | 0.28 | 0.16 | 0.50 | 0.25 | 0.14 | 0.45 | |
10–13 weeks | 0.10 | 0.05 | 0.20 | 0.09 | 0.05 | 0.18 | |
14 weeks-8 months | 0.35 | 0.22 | 0.55 | 0.34 | 0.21 | 0.54 | |
9–11 months | 0.68 | 0.42 | 1.10 | 0.64 | 0.39 | 1.05 | |
12–23 months | 0.65 | 0.41 | 1.02 | 0.59 | 0.37 | 0.94 | |
Demographic factors | |||||||
Mother's age | 15–24 | 1.00 | 1.00 | ||||
25–34 | 1.15 | 0.97 | 1.38 | 1.00 | 0.81 | 1.23 | |
35- | 1.12 | 1.84 | 1.50 | 0.98 | 0.69 | 1.40 | |
Number of living children | 1 | 1.00 | 1.00 | ||||
2 | 1.36 | 1.09 | 1.71 | 1.40 | 1.10 | 1.78 | |
3 | 1.20 | 0.93 | 1.55 | 1.24 | 0.94 | 1.65 | |
4 | 1.27 | 0.95 | 1.70 | 1.47 | 1.06 | 2.03 | |
5+ | 1.09 | 0.85 | 1.40 | 1.42 | 1.04 | 1.93 | |
Socioeconomic status | |||||||
Residence | Rural | 1.00 | 1.00 | ||||
Town/small city | 1.23 | 1.00 | 1.51 | 0.96 | 0.75 | 1.23 | |
Large city | 1.22 | 0.99 | 1.50 | 0.78 | 0.59 | 1.04 | |
Mother’s education |
No education | 1.00 | 1.00 | ||||
Primary or middle | 1.38 | 1.13 | 1.69 | 1.17 | 0.93 | 1.49 | |
Secondary or higher | 1.83 | 1.50 | 2.23 | 1.37 | 1.04 | 1.80 | |
Father's education | No education | 1.00 | 1.00 | ||||
Primary or middle | 1.25 | 0.98 | 1.58 | 1.08 | 0.83 | 1.40 | |
Secondary or higher | 1.73 | 1.41 | 2.11 | 1.30 | 1.03 | 1.65 | |
Wealth | First (poorest) | 1.00 | 1.00 | ||||
Second | 1.48 | 0.99 | 2.19 | 1.25 | 0.83 | 1.90 | |
Third | 2.02 | 1.41 | 2.90 | 1.52 | 1.01 | 2.27 | |
Fourth | 1.83 | 1.29 | 2.59 | 1.21 | 0.79 | 1.88 | |
Fifth (richest) | 2.66 | 1.88 | 3.77 | 1.53 | 0.95 | 2.45 | |
Information about maternal and child health received from: | |||||||
Health professional | No | 1.00 | 1.00 | ||||
Yes | 1.65 | 1.39 | 1.94 | 1.24 | 1.02 | 1.52 | |
Low-level health workers‡ | No | 1.00 | 1.00 | ||||
Yes | 0.93 | 0.72 | 1.20 | 1.06 | 0.79 | 1.44 | |
Relatives/friends | No | 1.00 | 1.00 | ||||
Yes | 1.65 | 1.40 | 1.95 | 1.38 | 1.12 | 1.71 | |
Media¶ | No | 1.00 | 1.00 | ||||
Yes | 1.68 | 1.40 | 2.01 | 1.32 | 1.08 | 1.61 | |
Health care during pregnancy and delivery | |||||||
Number of antenatal care visits | 1–2 | 1.00 | 1.00 | ||||
3 | 1.67 | 1.24 | 2.26 | 1.61 | 1.17 | 2.22 | |
4+ | 1.66 | 1.32 | 2.08 | 1.39 | 1.09 | 1.79 | |
Assistance during delivery | Traditional birth attendant | 1.00 | 1.00 | ||||
Health professional | 1.35 | 1.10 | 1.66 | 0.72 | 0.45 | 1.14 | |
No one/others | 0.38 | 0.15 | 0.96 | 0.26 | 0.10 | 0.71 | |
Place of delivery | Home | 1.00 | 1.00 | ||||
Private facility | 1.50 | 1.22 | 1.83 | 1.54 | 0.99 | 2.39 | |
Public facility | 1.36 | 1.05 | 1.77 | 1.50 | 0.94 | 2.41 |
†Children’s age, mother’s age, number of living children, residence, mother’s education, father’s education, wealth, maternal and child health information source, number of antenatal care use, assistance during delivery, and place of delivery were adjusted.
‡Low-level health workers included Dai-traditional birth attendant, lady health worker, homeopath, Hakim-herbal medicine practitioner, and outreach worker.
¶Media included radio, TV, telephone helpline, print media, health education/awareness session, and text message on mobile phone
Notes. OR>1: successfully taken full basic immunization
Living with two children (OR, 1.40; 95% CI, 1.10–1.78) or four children (OR, 1.47; 95% CI, 1.06–2.03) or five and more children (OR, 1.42; 95% CI, 1.04–1.93) did increase likelihood of full basic immunization compare to only one child. Parents’ education level, which was secondary or higher group, was significantly and positively associated with completing basic immunization. Mothers who were educated at the level of secondary or higher showed significant odds ratios (OR, 1.37; 95% CI, 1.04–1.80). Father’s odds ratio who was educated at the level of secondary or higher was significant, but lower than mother’s (OR, 1.30; 95% CI, 1.03–1.65).
Greater wealth increased the odds of completing basic immunization in the crude result. After adjusting covariates, only the third level of wealth showed significant odds ratio (OR, 1.52; 95% CI, 1.01–2.27). The source of MCH information had significant impact on the likelihood of full basic immunization. If health professionals provided information about MCH, the likelihood of full basic immunization increased (OR, 1.24; 95% CI, 1.02–1.52); relatives/friends (OR, 1.38; 95% CI, 1.12–1.71) and media (OR, 1.32; 95% CI, 1.08–1.61) as MCH information source did increase likelihood of full basic immunization. The likelihood of full basic immunization was higher (1.61 OR; 95% CI, 1.17–2.22) for those who received three sessions of ANC, and 1.39-fold higher (95% CI, 1.09–1.79) for those who received more than four sessions of ANC. Mother’s age, residence, low-level health workers, MCH information source, and place of delivery were not significant in multiple logistic regression.
Discussion
In this study, we examined the coverage, timing, and determinants of full immunization among children aged 0–23 months in Sindh, Pakistan, based on survey data. Just over half (51.3%) of all children had received full basic timely immunizations, and the key determinants for full immunization were children’s age, number of living children, parents’ educational level and wealth, MCH information sources, number of ANC sessions, and assistance during delivery.
Since the Expanded Program on Immunization (EPI) started in Pakistan in 1978 with the goal of vaccinating children aged 0–23 months, full basic immunization rate has been increasing. In this study, the average full basic immunization rate in 2013–2014 in Sindh was 51.3%, which was almost double the rate (28%) in 2006–2007 in Sindh [22]. However, the rate was still lower when compared to the rates in other low- and middle-income countries [9, 10, 23] as well as the goal rate of World Health Organization (WHO) and United Nations International Children’s Fund (UNICEF) (at least 90% by 2015) [24].
Children’s age was a significant determinant of full immunization. Interestingly, there was significantly lower immunization coverage in the age category 10–13 weeks. Late immunizations may influence this finding [9, 20]. Late immunizations were frequently reported for Polio and DTP in Pakistan [20] and for BCG and DTP-HepB-Hib (diphtheria, tetanus, whooping cough, hepatitis B, haemophilus influenza type B) in rural Ghana [9]. Median delays for immunization was two-four weeks [9], which explained why the immunization coverage in the age category 14 weeks-8 months old increased after 10–13 weeks of birth. Delays for the first immunization led to delays for second and third Polio and DTP, which indicated that the children remained vulnerable to vaccine-preventable diseases [20]. The common reasons of parents’ vaccine hesitancy, defined as delays in acceptance and/or refusal of vaccination [25], were socioeconomic status, cultural factors, religious reasons, personal beliefs, social/peer environment, philosophical reasons, safety concerns, a desire for more information from healthcare providers, and lack of access to vaccine services [18, 25–29].
WHO recommended that countries achieve vaccination coverage of at least ninety percent nationally and at least eighty percent in every district by 2020 [30]. As we know, the benefits of vaccination are experienced even by unvaccinated children through herd immunity [31]. However, low vaccination coverage (51.3%) and delays for immunization in Pakistan results in the loss of herd immunity which indicates an increased risk of exposure to vaccine-preventable diseases in unvaccinated infants. Previous studies found that there were substantial differences in timeliness of immunization across parents’ educational levels and socioeconomic status [9, 20].
Family characteristics should be considered in determining strategies to improve immunization rates. In this study, the number of living children in the household was associated with successfully completing the basic immunization. More children mean more exposure to the knowledge about immunization and more adherence to the schedule because of repeated learning curve and education effect. Indeed, education level of both mother and father was associated with their children completing basic immunization, which is in line with the findings of previous studies [9, 19, 22, 32]. Parents’ low educational level may influence their general health literacy and lessen their ability to properly understand the benefits of timely and complete immunization and to have better knowledge of vaccine-preventable diseases [22, 33–35].
These findings suggest that educational interventions aimed at less educated parents may have the potential to improve vaccination coverage in Pakistan, where the overall adult literacy rate was 54.9% between 2008 and 2012 [36]. A study was conducted to provide a simple educational intervention (easy to-understand pictorial cards, using very simple language, to convey three key messages) designed for low-literate populations in Pakistan [37]. This intervention improved DPT-3/Hepatitis B vaccine completion rates by 39%. Another study in Malaysia also showed the effect of a short educational intervention (an animated movie and lecture using simple understandable language) on improving parents’ knowledge of immunization [38].
Previous studies showed a positive relationship between residing in wealthier households with complete full immunization status [10, 20, 33, 39] but, wealth was not significantly associated with full basic immunization in this study. One possible reason is that wealth did not have much effect on the full immunization coverage as it used to be because immunization provided by the EPI program is free, and public efforts to access vulnerable mothers and infants are continued. Another possible reason is that Sindh provinces is a more unequal and polarized area than Punjab, Khyber-Pakhtunkhwa, and Balochistan in Pakistan [20, 26] and, therefore, different determinants based on wealth quintiles may influence immunization coverage compared with other study findings.
Having access to health information could play a pivotal role in improving mothers’ awareness regarding full immunization. In this study, mothers who had received information about MCH in the last year–whether from healthcare professionals, other persons, or the media–showed higher odds of completing basic immunization than those who did not. This is supported by previous studies, including in Pakistan, that found contact with health facilities and access to mass media were positively associated with full immunization [10, 16, 22, 23]. Contact with health facilities is a proxy for interactions with healthcare professionals, which provides an opportunity to receive information about immunization [23, 40, 41].
Likewise, access to radio, television, phones, and computers permits women to receive health-related information more easily [42–44]. However, recent studies concerned about the adverse effects of social media on completing basic immunization, because social media often has contributed to a dissemination of rumors, misconceptions or inaccurate beliefs about vaccination that ultimately led to the higher degrees of vaccine hesitancy and lower immunization rates [45–48]. Further studies should verify the accuracy of information provided by radio, television, phones, and the internet and should develop appropriate television/online programs to convey accurate information regarding immunization and to improve the full basic immunization in Pakistan. Previous studies reported that other persons, such as mother-in-law, relatives, and friends, played a significant role as health information source in Pakistan [49, 50]. They helped mother’s birth preparedness and health behaviors, which might lead to increase in full vaccination.
In the current study, making at least three ANC visits was significantly associated with completing basic immunization. Most Pakistani women in Sindh received specific elements of ANC, such as checking blood pressure, urine testing, blood tests, iron supplementation, tetanus immunizations, weight measurement, and counseling about danger signs of pregnancy [17]. Studies conducted in Ethiopia [51] and the Philippines [33] reported that infants whose mothers received the WHO recommended number of four ANC visits were significantly more likely to have their children immunized. In India, the immunization rate of children aged 12 to 23 months among a group of mothers who had one to two ANC visits was 13%, whereas the immunization rate among a group who had more than two visits were 19% [15]. ANC visits may be important signal to show mothers’ ready access to a health facility (i.e., a short distance from a health facility or having transportation options/alternatives). Furthermore, increased contact with the healthcare facility for obtaining ANC would improve the full immunization rate of children because mothers would have more opportunity to be informed about child healthcare, including the importance of full immunization, and to be encouraged by healthcare staff to use the healthcare service [15, 33]. Policy makers should assess the obstacles of receiving ANC in Pakistan based on mother’s background (i.e., socioeconomic status, residence, number of health facilities, cultural norms/beliefs) and develop strategies to increase ANC check-up (i.e., increase in number of health facilities/female healthcare professionals, free public transportation for pregnant women, mass campaigns), which may ultimately result in an increase in the immunization rate.
This cross-sectional study has several limitations. First, because of the cross-sectional design, we could not assess the causal relationship between immunization coverage and any of the other independent variables as they were collected at the same time point. Prospective studies determining predictors of full immunization coverage are needed to provide evidence for developing educational intervention studies. Second, this study was restricted to the mother’s last live birth in the two years prior to the study in one of four provinces in Pakistan; therefore, the findings cannot be generalized to all children in Pakistan. Further studies are needed to include all children under five years of age in all provinces in Pakistan. Lastly, the basic immunization rate was extracted from the immunization cards, which may have led to selection bias because infants whose parents had not immunization cards were excluded. Selection bias may be overcome through case-control matching, in which cases are selected based on the presence of the immunization cards and matched to controls that do not have the immunization cards. The refusal rate among respondents could have introduced response bias.
Despite the limitation, the study findings have important implications for countries who aim to improve immunization coverage and decrease the infant mortality rate. Mass immunization campaigns to stress the benefits of timely and complete immunization are needed, especially targeting parents in low educational and socioeconomic classes. The activities of mass media and healthcare professionals should be reinforced to improve women’s awareness of timely and complete immunization and importance of health care utilization.
Conclusions
Increasing childhood immunization coverage rates remains a national public health goal in low income countries. The immunization completion rate among children aged 0–23 months in Pakistan has been increased since the EPI program was initiated by the WHO in 1978, but was still lower than the rates of other low- and middle-income countries as well as the goal of the WHO and UNICEF. This study provided strong support for further efforts to improve the full basic immunization rate by identifying the key determinants of complete and timely childhood immunization coverage. Low vaccination coverage and delays for immunization results in the loss of herd immunity which lead to the outbreaks of vaccine-preventable diseases in unvaccinated infants in Pakistan. Policy-makers should identify mothers at risk of low immunization coverage and make the effort to tailor interventions informing mothers of the need for full immunization and motivating them to receive regular WHO-recommended ANC. Further longitudinal studies are needed to explore the factors associated with timely and complete full immunization and to determine the effect of educational interventions and mass immunization campaigns on completing immunizations and on infant mortality rates.
Supporting information
Acknowledgments
This publication was made possible through support provided by the US Agency for International Development (USAID), under the terms of Associate Cooperative Agreement No. AID-391-LA-13-00001; Maternal, Newborn and Child Health Services Project. The opinions expressed herein are those of the authors and do not necessarily reflect the views of USAID.
Data Availability
All relevant data are within the manuscript and its Supporting Information files.
Funding Statement
This publication was made possible through support provided by the US Agency for International Development (USAID), under the terms of Associate Cooperative Agreement No. AID-391-LA-13-00001; Maternal, Newborn and Child Health Services Project. The opinions expressed herein are those of the authors and do not necessarily reflect the views of USAID. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Associated Data
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Supplementary Materials
Data Availability Statement
All relevant data are within the manuscript and its Supporting Information files.