Two decades of regional trends in vaccination completion and coverage among children aged 12-23 months: an analysis of the Uganda Demographic Health Survey data from 1995 to 2016

Equity in vaccine coverage in Uganda from 2000 to 2016: revealing the multifaceted nature of inequity

BACKGROUND

This study analyses vaccine coverage and equity among children under five years of age in Uganda based on the 2016 Uganda Demographic and Health Survey (UDHS) dataset. Understanding equity in vaccine access and the determinants is crucial for the redress of emerging as well as persistent inequities.

METHODS

Applied to the UDHS for 2000, 2006, 2011, and 2016, the Vaccine Economics Research for Sustainability and Equity (VERSE) Equity Toolkit provides a multivariate assessment of immunization coverage and equity by (1) ranking the sample population with a composite direct unfairness index, (2) generating quantitative measure of efficiency (coverage) and equity, and (3) decomposing inequity into its contributing factors. The direct unfairness ranking variable is the predicted vaccination coverage from a logistic model based upon fair and unfair sources of variation in vaccination coverage. Our fair source of variation is defined as the child's age - children too young to receive routine immunization are not expected to be vaccinated. Unfair sources of variation are the child's region of residence, and whether they live in an urban or rural area, the mother's education level, the household's socioeconomic status, the child's sex, and their insurance coverage status. For each unfair source of variation, we identify a "more privileged" situation.

RESULTS

The coverage and equity of the Diphtheria-Pertussis-Tetanus vaccine, 3rd dose (DPT3) and the Measles-Containing Vaccine, 1st dose (MCV1) - two vaccines indicative of the health system's performance - improved significantly since 2000, from 49.7% to 76.8% and 67.8% to 82.7%, respectively, and there are fewer zero-dose children: from 8.4% to 2.2%. Improvements in retaining children in the program so that they complete the immunization schedule are more modest (from 38.1% to 40.8%). Progress in coverage was pro-poor, with concentration indices (wealth only) moving from 0.127 (DPT3) and 0.123 (MCV1) in 2000 to -0.042 and -0.029 in 2016. Gains in overall equity (composite) were more modest, albeit significant for most vaccines except for MCV1: concentration indices of 0.150 (DPT3) and 0.087 (MCV1) in 2000 and 0.054 and 0.055 in 2016. The influence of the region and settings (urban/rural) of residence significantly decreased since 2000.

CONCLUSION

The past two decades have seen significant improvements in vaccine coverage and equity, thanks to the efforts to strengthen routine immunization and ongoing supplemental immunization activities such as the Family Health Days. While maintaining the regular provision of vaccines to all regions, efforts should be made to alleviate the impact of low maternal education and literacy on vaccination uptake.

Is household shock a boon or bane to the utilisation of preventive healthcare for children? Evidence from Uganda

This paper investigates how poor households in low-income countries trade off time investment in their children's preventive healthcare vis-à-vis labour force participation during household-level health shocks. By using the reported illness or death of any household member as the indicator for an adverse health shock, I examine its effect on the intake of Vitamin A Supplementation (VAS) by children. Using four waves of the Uganda National Panel Survey, I find that children between 12-24 months are significantly more likely to get VAS when the household is under a health shock. I argue that this effect works through an economies of scale mechanism, by which the household adult(s) utilise the released time from the labour force during the shock to access remedial care from the healthcare facility and simultaneously obtain VAS for their children during the same visit. This arguably results from the high opportunity cost of time-constrained households, which is exacerbated by a mediocre service delivery side. To distinguish the unique mechanism of the health shock in this context, the effect and channels of an income shock are also explored. By proxying a negative income shock with the household-reported incidence of flood or drought, the study cautiously hints that VAS adoption may increase among the relatively wealthy who experience a dominating substitution effect of the income shock.

Field investigation of high reported non-neonatal tetanus burden in Uganda, 2016-2017

BACKGROUND

Despite providing tetanus-toxoid-containing vaccine (TTCV) to infants and reproductive-age women, Uganda reports one of the highest incidences of non-neonatal tetanus (non-NT). Prompted by unusual epidemiologic trends among reported non-NT cases, we conducted a retrospective record review to see whether these data reflected true disease burden.

METHODS

We analysed nationally reported non-NT cases during 2012-2017. We visited 26 facilities (14 hospitals, 12 health centres) reporting high numbers of non-NT cases (n = 20) or zero cases (n = 6). We identified non-NT cases in facility registers during 1 January 2016-30 June 2017; the identified case records were abstracted.

RESULTS

During 2012-2017, a total of 24 518 non-NT cases were reported and 74% were ≥5 years old. The average annual incidence was 3.43 per 100 000 population based on inpatient admissions. Among 482 non-NT inpatient cases reported during 1 January 2016-30 June 2017 from hospitals visited, 342 (71%) were identified in facility registers, despite missing register data (21%). Males comprised 283 (83%) of identified cases and 60% were ≥15 years old. Of 145 cases with detailed records, 134 (92%) were clinically confirmed tetanus; among these, the case-fatality ratio (CFR) was 54%. Fourteen cases were identified at two hospitals reporting zero cases. Among >4000 outpatient cases reported from health centres visited, only 3 cases were identified; the remainder were data errors.

CONCLUSIONS

A substantial number of non-NT cases and deaths occur in Uganda. The high CFR and high non-NT burden among men and older children indicate the need for TTCV booster doses across the life course to all individuals as well as improved coverage with the TTCV primary series. The observed data errors indicate the need for data quality improvement activities.

Implementing hearing screening among children aged 0-59 months at established immunization clinics in Uganda: A multi-center study

OBJECTIVE

The prevalence of childhood hearing loss (HL) is high in low and middle income countries (LMICs), with many of the affected children facing communication delays and poor opportunities for education. Despite the increased advocacy for childhood hearing screening globally, Uganda has no established childhood hearing screening programs. This study set out to introduce hearing screening services by non-specialist health workers at routine immunization clinics among children aged 0-59 months and describe the prevalence and factors associated with failed hearing screening (HS) in these children.

METHODS

A cross-sectional multi-center study was conducted at immunization clinics at three regional referral hospitals (RRHs). A semi structured questionnaire was used to capture data on socio-demographic, clinical factors and the two stage Transient Evoked Oto-acoustic emissions (TEOAEs) screening performed on children aged 0-59 months. A child that failed two stage screening was considered to have failed HS. Logistic regression was used to calculate odds ratios (OR) for factors associated with failed HS.

RESULTS

1217 children were recruited at three RRHs, with a median age of 2 months (range: 0 to 59), half were male 52% (n = 633). Overall 45 children failed two staged TEOAE screening giving a prevalence of failed HS of 3.7%, of these 27 (2.2%) and 18 (1.5%) failed unilaterally and bilaterally respectively. Children of rural residence (aOR = 2.18, p = 0.027), of low birth weight (aOR = 0.42, p = 0.045), with relatives having hearing loss (aOR = 4.64, p= <0.001), who were admitted in hospital after birth (aOR = 3.72, p = 0.012) and a history of a childhood suppurative otitis media (aOR = 9.53, p = 0.015) all had increased odds of failed HS.

CONCLUSIONS

The prevalence of failed screening is high. Implementation of childhood hearing screening by non-specialist health workers at immunization clinics using TEOAEs is possible and may be a necessary initial step in starting countrywide hearing screening in Uganda.

Does mothers' and caregivers' access to information on their child's vaccination card impact the timing of their child's measles vaccination in Uganda?

Introduction

On-time measles vaccination is essential for preventing measles infection among children as early in life as possible, especially in areas where measles outbreaks occur frequently. Characterizing the timing of routine measles vaccination (MCV1) among children and identifying risk factors for delayed measles vaccination is important for addressing barriers to recommended childhood vaccination and increasing on-time MCV1 coverage. We aim to assess the timing of children's MCV1 vaccination and to investigate the association between demographic and healthcare factors, mothers'/caregivers' ability to identify information on their child’s vaccination card, and achieving on-time (vs. delayed) MCV1 vaccination.

Methods

We conducted a population-based, door-to-door survey in Kampala, Uganda, from June–August of 2019. We surveyed mothers/caregivers of children aged one to five years to determine how familiar they were with their child’s vaccination card and to determine their child’s MCV1 vaccination status and timing. We assessed the proportion of children vaccinated for MCV1 on-time and delayed, and we evaluated the association between mothers'/caregivers' ability to identify key pieces of information (child’s birth date, sex, and MCV1 date) on their child’s vaccination card and achieving on-time MCV1 vaccination.

Results

Of the 999 mothers/caregivers enrolled, the median age was 27 years (17–50), and median child age was 29 months (12–72). Information on vaccination status was available for 66.0% (n = 659) of children. Of those who had documentation of MCV1 vaccination (n = 475), less than half (46.5%; n = 221) achieved on-time MCV1 vaccination and 53.5% (n = 254) were delayed. We found that only 47.9% (n = 264) of the 551 mothers/caregivers who were asked to identify key pieces of information on their child's vaccination card were able to identify the information, but ability to identify the key pieces of information on the card was not independently associated with achieving on-time MCV1 vaccination.

Conclusion

Mothers'/caregivers' ability to identify key pieces of information on their child’s vaccination card was not associated with achieving on-time MCV1 vaccination. Further research can shed light on interventions that may prompt or remind mothers/caregivers of the time and age when their child is due for measles vaccine to increase the chance of the child receiving it at the recommended time.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13113-z.

Predictors of Adherence to Routine Immunization Schedule Among Caretakers of Children Aged 10 to 18 Months in Lira City, Uganda

Background

Although the majority of nations have routine immunization programs in place as a public health strategy, more than 1.5 million children under the age of 5 die yearly worldwide due to inadequate vaccination coverage. This study investigated the predictors of adherence to routine immunization schedules in Lira city.

Methods

This was a cross-sectional study among 420 caretakers of children aged 10 to 18 months. Bivariate and multiple regression analyses were conducted to assess the predictors of adherence to the full immunization schedule. A P-value > .05 was considered statistically significant at 95% CI.

Results

The study result indicated that the majority, 237 (56.4%) of caretakers were aged 25 to 34 years, 205 (48.8%) had attained primary level education, and 284 (67.6%) were married. The results showed that 365 (87.0%) had their children fully immunized. The predictors of adherence to full immunization schedule were knowledge on when to start vaccination (AOR:5.65; 95% CI:1.82-17.55; P = .003), maternal outcome expectations (AOR:3.45; 95% CI:1.16-10.29; P = .03) and maternal knowledge (AOR:2.15; 95% CI:1.18-3.90; P = .01).

Conclusion

The study findings show that 9 in 10 of the caregivers adhered to the immunization schedule. The significant predictors of adherence to full immunization were flexible clinical hours, maternal outcome expectations and maternal knowledge. Based on the conclusions we recommend that government and service providers be flexible in clinic hours and continue health education to women of childbearing age at an early stage, especially during antenatal care visits, delivery and the postnatal period on childhood vaccination to maintain adherence to the routine immunization schedule.