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. 2026 Oct 16;20:636265. doi: 10.2147/PPA.S636265

Two-Dose Measles-Containing Vaccine (MCV1 and MCV2) Completion and Associated Factors Among Children Aged 24–59 Months in Soroti City, Uganda: A Cross-Sectional Study

Jacintah Nyesigye 1, Abudu Rahuman Ssekabira 1,2,✉, Ethel Turyasingura 1, Precious Thereza Namazzi 1, Samuel Okello 1, Faith Naijuka 1, Ronald Opito 3
PMCID: PMC13682323  PMID: 42903818

Abstract

Purpose

This study aimed to determine the measles immunization completion rate, defined as receipt of both the first (MCV1) and second (MCV2) doses of measles-containing vaccine, and associated factors among children aged 24–59 months in Soroti City, Northeastern Uganda.

Patients and Methods

A quantitative analytical cross-sectional study was conducted in Soroti City between November 2025 and January 2026. Multi-stage cluster random sampling was employed to select 325 children aged 24–59 months from households in eight villages across two divisions of Soroti City. Data were collected through face-to-face interviewer-administered questionnaires targeting caregivers. Immunization status was verified using child health cards and, where cards were unavailable, caregiver recall. Data were analyzed using Stata version 15.0, with descriptive statistics, bivariate chi-square tests, and multivariate logistic regression performed at a significance level of p < 0.05.

Results

The measles immunization completion rate was 76.6% (95% CI: 71.7–80.9%). Six variables were significantly associated with completion at the bivariate level (p < 0.05) and were entered into the multivariable model: birth order, caregiver occupation, household income, ANC attendance, outreach service availability, and vaccine safety perception. At multivariate analysis, factors independently associated with measles immunization completion were birth order of three and above (AOR = 0.37; 95% CI: 0.15–0.93; p = 0.034), unemployed caregiver occupation (AOR = 2.88; 95% CI: 1.50–5.52; p = 0.002), household income of 200,000–<500,000 UGX (AOR = 0.30; 95% CI: 0.15–0.61; p = 0.001), antenatal care attendance of more than six visits (AOR = 5.77; 95% CI: 1.86–17.93; p = 0.002), availability of outreach services (AOR = 3.82; 95% CI: 1.90–7.70; p < 0.001), and agreement that measles vaccines are safe (AOR = 16.27; 95% CI: 2.83–93.64; p = 0.002). Attendance of 3–6 ANC visits and household income of ≥500,000 UGX were associated with completion at the bivariate level but did not remain statistically significant after adjustment.

Conclusion

Measles immunization completion among children aged 24–59 months in Soroti City was 76.6%, substantially higher than Uganda’s national MR2 uptake of 28% reported for the 2023/2024 financial year, but still below the WHO-recommended 95% threshold; because the national and study estimates refer to different periods and populations, this comparison should be interpreted as indicative rather than a direct benchmark. Outreach service availability, vaccine safety perception, ANC attendance, caregiver occupation, household income, and birth order were the factors most strongly associated with completion in this setting. Strengthening outreach services, integrating immunization counselling into ANC, addressing caregiver concerns about vaccine safety, and paying closer attention to households with several children are programmatic implications suggested by these associations, though intervention effectiveness was not directly tested in this cross-sectional study.

Keywords: measles immunization, completion rate, children, associated factors, Soroti City, Uganda

Introduction

Measles is a highly contagious viral airborne disease caused by the morbillivirus, characterized by fever, cough, conjunctivitis, and a maculopapular rash, and remains one of the leading causes of vaccine-preventable childhood deaths worldwide.1 The World Health Organization (WHO) estimates that measles accounted for approximately 128,000 deaths globally in 2021, predominantly among children under five years.2 Measles is preventable through measles-containing vaccines (MCV), with two doses recommended at nine months (MCV1) and 15–18 months (MCV2), requiring at least 95% coverage for both doses to achieve herd immunity.2,3

Globally, MCV1 coverage stagnated at approximately 83% and MCV2 at 74% as of 2022.2 In sub-Saharan Africa, MCV1 coverage was 74% and MCV2 only 58% as of 2024, contributing to recurrent measles outbreaks.4 In Uganda, measles immunization is delivered as a combined measles-rubella (MR) vaccine rather than a measles-only formulation; the terms MCV1/MCV2, used globally to denote the first and second doses of any measles-containing vaccine, are therefore used interchangeably in this paper with Uganda’s locally administered MR1/MR2. MR1 was introduced into the national schedule in 1981, while MR2 was added only in 2022.5 By the third quarter of the financial year 2023/2024, MR1 coverage was 90% but MR2 coverage was only 28%, falling dramatically below the 95% herd immunity threshold.5,6 This wide gap likely reflects, in part, the relative recency of the second-dose introduction: caregiver awareness of MR2 as a distinct, required dose, and health-system routines for scheduling and reminding caregivers about it, are still maturing barely three years after national rollout.

Immunization services in Soroti City, as in the rest of Uganda, are delivered through both static, facility-based sessions at fixed health units and periodic outreach services, mobile or satellite vaccination sessions conducted by health workers at community sites (such as trading centers, churches, or schools) located far from a fixed facility, to reduce geographic and transport barriers to access. In the Teso sub-region where Soroti City is located, basic vaccination coverage stands at 70%, below the 95% national target.7 Uganda continues to experience recurrent, geographically dispersed measles outbreaks despite rising national coverage: by April 2026, the Ministry of Health reported active outbreaks across 20 districts nationally, with 12 deaths recorded that year,8 and a multi-district causality analysis across 12 affected districts (July 2025–March 2026) attributed these outbreaks primarily to incomplete MR2 delivery, irregular outreach, and weak follow-up of children who missed vaccination.9 A school-associated outbreak investigated in Gomba District in 2025 similarly found that only 72% of children were vaccinated, with unvaccinated status strongly predicting infection.10 Soroti Regional Referral Hospital’s own surveillance unit recorded confirmed measles admissions in early 2025 (Soroti Regional Referral Hospital, Measles Surveillance Unit, unpublished data, 2025); while this facility-level record is not independently published and is cited here as unpublished institutional data rather than a retrievable source, it is consistent with the wider national pattern of recurrent outbreaks in under-vaccinated districts documented above, and underscores the continued public health relevance of closing the MR2 completion gap in this setting. While national and multi-district evidence on factors associated with measles vaccination completion is available, subnational evidence specific to Soroti City is lacking, despite this local pattern and persistent reports of low coverage.

Understanding and addressing the factors influencing MCV completion at the subnational level is therefore essential, as national averages may mask significant local disparities. This study examined candidate factors across four conceptual levels commonly used in sub-Saharan African immunization research: individual (child) characteristics reflecting biological and behavioural risk (eg, birth order, health status), household characteristics shaping caregiver capacity and decision-making (eg, education, occupation, income, ANC attendance), health-system characteristics determining service accessibility (eg, outreach availability), and community characteristics reflecting the sociocultural environment (eg, beliefs about vaccination).11,12 This study aimed to determine the measles immunization completion rate and associated factors among children aged 24–59 months in Soroti City, to generate locally relevant evidence to guide city-level strategies and inform targeted interventions.

Materials and Methods

Study Design and Setting

This study employed a quantitative analytical cross-sectional design. The study was conducted in Soroti City, located in the Teso sub-region of Northeastern Uganda, approximately 306 km from Kampala. Soroti City has a population of approximately 134,199 people, with about 1800 children under five years, and comprises two divisions (East and West) with a total of 26 wards and 34,963 households.7 Immunization services are provided through Soroti Regional Referral Hospital, one Health Centre IV, and four Health Centre IIIs, using both static facility-based and outreach strategies (as defined above). Data were collected between November 2025 and January 2026.

Study Population and Eligibility Criteria

The study population comprised caregivers of children aged 24–59 months residing in Soroti City. This age group was selected because, by 24 months, children are expected to have completed measles immunization according to the Uganda National Expanded Program on Immunization (UNEPI) schedule, and recall bias is reduced within this timeframe. Inclusion criteria were children aged 24–59 months residing in Soroti City for at least six months and caregivers who had cared for the child for at least one year. Children with severe illness requiring hospitalization at the time of data collection and those with caregiver cognitive impairment were excluded. Children with a prior confirmed measles diagnosis were also excluded, because a documented measles infection may itself confer immunity and can alter the clinically recommended vaccination schedule, which could confound the assessment of routine MCV completion.

Sample Size and Sampling

The sample size was calculated using the Kish and Leslie (1965) single population proportion formula, using a proportion of 28% (p = 0.28) representing the national MR2 completion rate, a 95% confidence level (z = 1.96), and a 5% margin of error (d = 0.05), yielding a minimum of 310 participants. With a 5% non-response adjustment, the final target sample was 326 participants. One participant was subsequently excluded due to incomplete data, giving a final analytic sample of 325. A design effect to account for the multi-stage cluster sampling design was not incorporated into this calculation; this is acknowledged as a methodological limitation and is discussed further below.

A multi-stage cluster sampling technique was employed. In stage one, two parishes were randomly selected from each of the two city divisions using simple random lottery sampling, yielding four parishes. In stage two, two villages were randomly selected from each parish, giving eight villages. In stage three, systematic random sampling with allocation proportional to village household lists was used to select households within each village from lists provided by local council leaders and community health workers; this yielded approximately 40–41 households per village (rather than an equal 46 per village), for a target total of 326 households, using a sampling interval calculated as the village household-list size divided by the village’s household quota and a random start point drawn from within the first interval. Households with no child aged 24–59 months were skipped and replaced by the next household on the list; where more than one eligible child resided in a selected household, one child was randomly selected using a simple lottery method. The complete recruitment and sampling flow, from division level down to the final analytic sample, is summarized in Figure 1 (see Figures section).

Figure 1.

A flowchart of participant recruitment and sampling process for measles immunization study. The flowchart details the recruitment process for a measles immunization study in Soroti City, split into Eastern and Western divisions. Initially, two parishes per division are randomly selected, totaling four. Next, two villages per parish are chosen, making eight villages. Systematic random sampling targets 40-41 households per village, aiming for 326 households. Households are screened for a child aged 24-59 months with a resident caregiver of at least one year. If no eligible child is found, the household is skipped. Caregivers are interviewed, resulting in 326 interviews. One participant is excluded due to incomplete data, leaving 325 in the final sample. Measles immunization status is checked via health cards or caregiver recall, with 249 complete cases (76.6%) and 76 incomplete (23.4%).

Participant recruitment and sampling flow diagram. Summarizes the multi-stage cluster sampling procedure (section 3.4) from division level down to the final analytic sample, including the single participant excluded for incomplete data (section 3.4.3) and the measles immunization completion outcome (section 4.2).

Data Collection

Data were collected through face-to-face interviewer-administered questionnaires programmed on KoboToolbox, adapted from a validated tool used in sub-Saharan Africa.11 The questionnaire included sections on child sociodemographic characteristics, measles immunization completion status, household-level factors, health system-level factors, and community-level factors. Immunization status was verified primarily using the child’s health card; where a card was unavailable or incomplete, status was determined from caregiver recall, with a dose counted as received only if the caregiver could specifically recall that the child had been given a measles-containing injection and could approximate its timing relative to the child’s age (eg, “around the first birthday” for MCV1). Data collection was conducted by the researcher and two research assistants fluent in both English and Ateso. Daily completeness checks were performed before leaving households.

Study Variables

The dependent variable was completion of measles immunization, defined as receipt of both MCV1 and MCV2, categorized as complete (both doses) or incomplete (one or no dose). Independent variables included individual-level factors (child age, sex, birth order, health status), household-level factors (caregiver education, occupation, family size, household income, ANC attendance), health system-level factors (vaccine availability, health facility access, outreach services), and community-level factors (cultural beliefs, religious beliefs).

Data Analysis

Data were analyzed using Stata version 15.0. Univariate analysis was performed to determine completion rates and describe sociodemographic characteristics. Bivariate analysis using chi-square tests examined associations between measles immunization completion and independent variables at p < 0.05. Variables significantly associated at the bivariate level were entered into a multivariate logistic regression model to identify independent predictors; this approach was adopted for parsimony given the moderate sample size, though we acknowledge it may exclude covariates that are conceptually relevant despite a non-significant bivariate association, which is discussed as a limitation below. Results are presented as adjusted odds ratios (AOR) with 95% confidence intervals (CI) at p < 0.05. Multicollinearity was assessed using variance inflation factors (VIF), model fit was assessed using the Hosmer-Lemeshow goodness-of-fit test and the area under the receiver operating characteristic curve (AUC), and influential observations were assessed using Cook’s distance; these diagnostics are reported in the Results. Cluster-robust standard errors were not applied in the regression analysis despite the multi-stage cluster sampling design, which is acknowledged as a limitation. Given that the outcome prevalence was high (76.6%), the reported odds ratios may diverge from the corresponding prevalence ratios and should be interpreted with this in mind; logistic regression was nonetheless used as it remains the standard approach for a binary outcome and allows comparison with prior studies in this field.

Ethical Considerations

This study was conducted in accordance with the Declaration of Helsinki. Ethical approval was obtained from the Mbale Regional Referral Hospital Research Ethics Committee (protocol number MRRH-2025-96); this is because the study was conducted by a student affiliated with the School of Health Sciences, Soroti University, and Soroti University does not currently operate its own institutionally accredited Research Ethics Committee for student research. In line with standard practice in Uganda, where a university lacks an accredited REC, students seek ethical review and approval from an accredited regional Research Ethics Committee. Administrative clearance was obtained from Soroti University School of Health Sciences and Soroti City Council. All caregivers provided written informed consent prior to participation. Participant confidentiality was maintained through use of participant identification codes, with no identifying information recorded in the dataset.

Results

Sociodemographic Characteristics

A total of 325 participants were enrolled. The majority of children were male (53.8%, n = 175) and aged 24–<36 months (41.8%, n = 136). Most children were in good health (84.0%, n = 273), and 56.6% (n = 184) were of birth order three and above. Among caregivers, 35.1% (n = 114) had attained primary education, and the majority were unemployed (69.5%, n = 226). More than half of households earned less than 200,000 Uganda Shillings per month (57.2%), and 59.7% (n = 194) of mothers attended between three and six ANC visits. Detailed sociodemographic characteristics are presented in Table 1 (see Tables section).

Table 1.

Sociodemographic Characteristics of Study Participants (n = 325)

Variable Category n (%)
Sex of child Female 150 (46.2)
Male 175 (53.8)
Residence Eastern division 163 (50.2)
Western division 162 (49.8)
Age of child (months) 24–<36 136 (41.8)
36–<48 101 (31.1)
48–<60 88 (27.1)
Health status Good 273 (84.0)
Sickly 39 (12.0)
Chronic illness 13 (4.0)
Birth order One 64 (19.7)
Two 77 (23.7)
Three and above 184 (56.6)
Caregiver education No formal education 97 (29.8)
Primary 114 (35.1)
Secondary 90 (27.7)
Tertiary 24 (7.4)
Caregiver occupation Employed 99 (30.5)
Unemployed 226 (69.5)
Family size ≤6 members 212 (65.2)
>6 members 113 (34.8)
Household income (UGX/month) <200,000 186 (57.2)
200,000–<500,000 77 (23.7)
≥500,000 62 (19.1)
ANC attendance 0–2 visits 36 (11.1)
3–6 visits 194 (59.7)
>6 visits 95 (29.2)

Abbreviations: UGX, Uganda Shillings; ANC, Antenatal Care.

Measles Immunization Completion Rate

Of the 325 children, 249 (76.6%; 95% CI: 71.7–80.9%) had completed measles immunization (received both MCV1 and MCV2), while 76 (23.4%) had not. First dose (MCV1) coverage was 94.5% (n = 307), second dose (MCV2) coverage was 76.6% (n = 249), and only 12.3% (n = 40) had received more than two doses. These figures demonstrate a substantial drop-off between MCV1 and MCV2 and highlight the gap from the 95% WHO herd immunity threshold, illustrated as a dose cascade in Figure 2 (see Figures section).

Figure 2.

A bar graph showing measles containing vaccine dose coverage across dose levels in children.

Measles vaccination dose cascade. Bars show the cumulative percentage of children in the analytic sample (n = 325) who received at least the indicated number of measles-containing vaccine doses, illustrating the drop-off between MCV1 (first dose) and MCV1+MCV2 (completion). The dashed line marks the WHO 95% herd immunity threshold. Figures in parentheses are numerators.

Factors Associated with Measles Immunization Completion

Bivariate analysis (Table 2, see Tables section) identified the following factors as significantly associated with measles immunization completion: birth order (χ2 = 10.07, p = 0.007), caregiver occupation (χ2 = 7.09, p = 0.008), household income (χ2 = 12.39, p = 0.002), ANC attendance (χ2 = 22.05, p < 0.001), availability of outreach services (χ2 = 24.79, p < 0.001), and perception of vaccine safety (χ2 = 15.34, p < 0.001). Child sex, age, health status, caregiver education, family size, traditional beliefs, and religious beliefs were not significantly associated with completion.

Table 2.

Bivariate Analysis of Factors Associated with Measles Immunization Completion (n = 325)

Variable Category Complete n (%) Incomplete n (%) χ2 p-value
Sex of child Female 113 (75.3) 37 (24.7) 0.14 0.708
Male 136 (77.7) 39 (22.3)
Age of child 24–<36 102 (75.0) 34 (25.0) 0.63 0.731
36–<48 77 (76.2) 24 (23.8)
48–<60 70 (79.5) 18 (20.5)
Health status Good 207 (75.8) 66 (24.2) 0.74 0.691
Sickly 32 (82.1) 7 (17.9)
Chronic illness 10 (76.9) 3 (23.1)
Birth order One 55 (85.9) 9 (14.1) 10.07 0.007a
Two 65 (84.4) 12 (15.6)
Three and above 129 (70.1) 55 (29.9)
Caregiver education No formal education 70 (72.2) 27 (27.8) 1.55 0.670
Primary 89 (78.1) 25 (21.9)
Secondary 71 (78.9) 19 (21.1)
Tertiary 19 (79.2) 5 (20.8)
Caregiver occupation Employed 66 (66.7) 33 (33.3) 7.09 0.008a
Unemployed 183 (81.0) 43 (19.0)
Family size ≤6 members 167 (78.8) 45 (21.2) 1.26 0.262
>6 members 82 (72.6) 31 (27.4)
Household income <200,000 UGX 148 (79.6) 38 (20.4) 12.39 0.002a
200,000–<500,000 48 (62.3) 29 (37.7)
≥500,000 53 (85.5) 9 (14.5)
ANC attendance 0–2 visits 20 (55.6) 16 (44.4) 22.05 <0.001a
3–6 visits 142 (73.2) 52 (26.8)
>6 visits 87 (91.6) 8 (8.4)
Outreach services No 110 (65.1) 59 (34.9) 24.79 <0.001a
Yes 139 (89.1) 17 (10.9)
Vaccine safety perception Agree 247 (78.4) 68 (21.6) 15.34 <0.001a
Disagree 2 (20.0) 8 (80.0)
Traditional beliefs prohibiting vaccination No 127 (80.4) 31 (19.6) 2.04 0.153
Yes 122 (73.1) 45 (26.9)
Religious beliefs prohibiting vaccination No 118 (79.2) 31 (20.8) 0.77 0.379
Yes 131 (74.4) 45 (25.6)

Notes: Statistically significant values carry the superscript indicator, adenoting statistical significance at p < 0.05.

Abbreviation: χ2, chi-square statistic.

At multivariate logistic regression (Table 3, see Tables section), all six variables identified as significant at the bivariate level, birth order, caregiver occupation, household income, ANC attendance, outreach services, and vaccine safety perception, were entered into the model together, consistent with the bivariate screening criterion stated in the Data Analysis subsection. Five factors remained independently associated with measles immunization completion after adjustment. Children of birth order three and above had significantly reduced odds of completion compared to first-born children (AOR = 0.37; 95% CI: 0.15–0.93; p = 0.034). Children of unemployed caregivers were significantly more likely to complete immunization compared to those of employed caregivers (AOR = 2.88; 95% CI: 1.50–5.52; p = 0.002). Household income of 200,000–<500,000 UGX was associated with significantly lower odds of completion relative to the lowest income category (AOR = 0.30; 95% CI: 0.15–0.61; p = 0.001), while the highest income category (≥500,000 UGX) was not significantly different from the reference (AOR = 0.91; 95% CI: 0.36–2.30; p = 0.850). Availability of outreach immunization services remained a strong independent predictor (AOR = 3.82; 95% CI: 1.90–7.70; p < 0.001). ANC attendance showed a dose-response pattern: mothers attending more than six visits had significantly higher odds of their children completing immunization (AOR = 5.77; 95% CI: 1.86–17.93; p = 0.002), while those attending three to six visits did not reach statistical significance after adjustment (AOR = 2.12; 95% CI: 0.89–5.09; p = 0.091). Caregivers who agreed that measles vaccines are safe had substantially higher odds of their children completing immunization compared to those who did not (AOR = 16.27; 95% CI: 2.83–93.64; p = 0.002), though, as detailed below, this specific estimate should be interpreted with particular caution. Crude (unadjusted) odds ratios for all six variables are presented alongside the adjusted estimates in Table 3; all 325 participants were retained in both the crude and adjusted models, with no missing data on any variable entered into the model.

Table 3.

Multivariate Logistic Regression of Independent Predictors of Measles Immunization Completion (n = 325)

Variable Category Crude OR (95% CI) AOR (95% CI) p-value (AOR)
Birth order One (ref) 1.00 1.00 —
Two 0.89 (0.35–2.26) 1.14 (0.38–3.44) 0.817
Three and above 0.38 (0.18–0.83) 0.37 (0.15–0.93) 0.034a
Caregiver occupation Employed (ref) 1.00 1.00 —
Unemployed 2.13 (1.25–3.63) 2.88 (1.50–5.52) 0.002a
ANC attendance 0–2 visits (ref) 1.00 1.00 —
3–6 visits 2.18 (1.05–4.53) 2.12 (0.89–5.09) 0.091
>6 visits 8.70 (3.27–23.13) 5.77 (1.86–17.93) 0.002a
Outreach services No (ref) 1.00 1.00 —
Yes 4.39 (2.42–7.95) 3.82 (1.90–7.70) <0.001a
Household income <200,000 UGX (ref) 1.00 1.00 —
200,000–<500,000 0.42 (0.24–0.76) 0.30 (0.15–0.61) 0.001a
≥500,000 1.51 (0.69–3.34) 0.91 (0.36–2.30) 0.850
Vaccine safety perception Disagree (ref) 1.00 1.00 —
Agree 14.53 (3.02–70.02) 16.27 (2.83–93.64) 0.002a

Notes: All six variables were significant at p < 0.05 in the bivariate analysis (Table 2) and were entered into the multivariable model together. All 325 participants had complete data on these variables and were retained in both the crude and adjusted models. Model diagnostics: VIF range 1.03–2.93 (no multicollinearity); Hosmer-Lemeshow χ2 = 8.73, df = 8, p = 0.366 (adequate fit); AUC = 0.82. The vaccine safety perception estimate was sensitive to influential observations in sensitivity analysis (see Results and Discussion) and its confidence interval should be treated as approximate. Statistically significant AOR/p-values carry the superscript indicator, adenoting statistical significance at p < 0.05.

Abbreviations: OR, Odds Ratio; AOR, Adjusted Odds Ratio (adjusted for the other five variables in this table: birth order, caregiver occupation, household income, ANC attendance, and outreach services, or vaccine safety perception, as applicable); CI, Confidence Interval; ref, reference category; UGX, Uganda Shillings.

Model diagnostics supported the overall adequacy of the multivariable model. Variance inflation factors for all predictors ranged from 1.03 to 2.93, well below the conventional threshold of 5, indicating no problematic multicollinearity. The Hosmer-Lemeshow goodness-of-fit test showed no evidence of poor fit (χ2 = 8.73, df = 8, p = 0.366), and the model showed good discrimination (area under the receiver operating characteristic curve = 0.82). Cook’s distance identified 20 of 325 observations (6.2%) above the conventional 4/n threshold, but the maximum Cook’s distance was small (0.08), indicating no single observation exerted undue influence on the model as a whole. A targeted sensitivity check, refitting the model after excluding the five most influential observations, left the coefficients for birth order, caregiver occupation, household income, ANC attendance, and outreach services materially unchanged (eg, the birth order AOR changed from 0.37 to 0.37), but caused the vaccine safety perception coefficient to become numerically unstable and the model to fail to converge normally. This confirms that the vaccine safety perception estimate specifically, rather than the model as a whole, is fragile, driven by its small reference category (caregivers who did not agree the vaccine is safe, n = 10). A bias-reduced (Firth-type penalized-likelihood) sensitivity estimate for this association was directionally consistent but more conservative than the standard estimate (OR approximately 12–13 vs AOR = 16.27 from standard maximum likelihood), supporting the direction of this association while indicating that its precise magnitude and confidence interval are not reliably estimated by standard maximum likelihood in this dataset.

Discussion

This study determined that the measles immunization completion rate among children aged 24–59 months in Soroti City was 76.6% (95% CI: 71.7–80.9%), which is substantially higher than Uganda’s national MR2 uptake of 28%6 but remains below the WHO-recommended 95% threshold required for herd immunity.2 This comparison should be interpreted cautiously, as the national estimate refers to the 2023/2024 financial year and to children reached through routine reporting nationally, whereas the present study estimate refers to children aged 24–59 months surveyed in late 2025/early 2026 in a single urban city; differences in period, age group, and data source may all contribute to the gap between the two figures, independent of any true underlying difference in coverage. With this caveat, the study’s completion rate is broadly comparable to global MCV2 coverage of 74%2 and to completion rates reported from Ethiopia (75%) and Gondar City, Ethiopia (75.68%).13,14 The relatively higher completion rate in Soroti City compared to the national average may partly reflect the urban setting, where proximity to health facilities and immunization services is generally greater than in rural areas. Nonetheless, the remaining gap to the 95% target underscores a continued risk of measles outbreaks in the city.

Children of birth order three and above were significantly less likely to complete measles immunization (AOR = 0.37; 95% CI: 0.15–0.93; p = 0.034). This finding aligns with evidence from Ethiopia where children of birth order three and above had significantly higher measles vaccination dropout rates15 and from Kenya where higher birth order was associated with lower MCV coverage.16 A plausible, though not directly measured, explanation is caregiver fatigue and competing demands with successive children, whereby increased family size may reduce individual attention to each child’s vaccination schedule;17 this mechanism is consistent with, though not confirmed by, findings from Cameroon describing logistical and financial challenges families face in ensuring multiple children attend scheduled vaccination appointments.17 In practical terms, this association suggests that community health workers and outreach teams could proactively flag households with three or more children during registration or ANC contact and prioritize them for reminder-based follow-up, such as home visits or phone/SMS reminders timed to each child’s due dose, though the effectiveness of such targeted follow-up was not tested in this study.

Children of unemployed caregivers were significantly more likely to complete immunization (AOR = 2.88; 95% CI: 1.50–5.52; p = 0.002). This finding, while counterintuitive, is consistent with evidence from East Africa showing employed mothers were less likely to fully vaccinate their children compared to housewives,12 and from Botswana where unemployed caregivers demonstrated higher vaccination completion rates.18 Time availability is a plausible mechanism, employed caregivers, particularly those without flexible working arrangements or paid leave, may be more likely to miss vaccination appointments than those with more flexible time for health-seeking activities,18 but this study did not directly measure caregivers’ working hours, leave entitlements, or specific workplace barriers, and the explanation should therefore be read as a hypothesis rather than a demonstrated mechanism. Residual confounding is also possible: unemployment in this setting may correlate with other unmeasured factors, such as differences in socioeconomic support networks, extended family caregiving arrangements, or the specific type and formality of employment, any of which could independently affect the time and priority available for immunization visits.

Household income showed a non-linear association with completion after adjustment: children in the middle income category (200,000–<500,000 UGX) had significantly lower odds of completion than those in the lowest income category (AOR = 0.30; 95% CI: 0.15–0.61; p = 0.001), whereas the highest income category (≥500,000 UGX) did not differ significantly from the lowest (AOR = 0.91; 95% CI: 0.36–2.30; p = 0.850). This non-monotonic pattern is not straightforward to interpret and was not hypothesized a priori; it may reflect residual confounding by unmeasured factors that do not vary linearly with income in this sample (for example, differences in occupation type or residence between the income groups), and should be treated as an exploratory finding requiring confirmation in future, larger studies rather than as an established relationship between income and completion.

ANC attendance showed a dose-response relationship with completion, though only the highest attendance category reached statistical significance after adjustment. Mothers attending more than six ANC visits were significantly more likely to complete their child’s measles immunization (AOR = 5.77; 95% CI: 1.86–17.93; p = 0.002). Mothers attending 3–6 visits also had higher odds of completion than those attending 0–2 visits, but this difference did not reach statistical significance after adjustment (AOR = 2.12; 95% CI: 0.89–5.09; p = 0.091), suggesting that the benefit of ANC contact for immunization completion may only become statistically detectable at higher attendance intensity in this sample. This pattern is broadly consistent with findings from Gondar, Ethiopia where four or more ANC visits was linked to increased MCV2 coverage,14 from Oromia Regional State, Ethiopia where ANC attendance was a significant predictor of MCV uptake,19 and from Brazil.20 A plausible pathway, though not directly assessed here, is that repeated ANC contact facilitates immunization completion through caregiver education on the vaccination schedule, trust-building with healthcare providers, and continuity of health-seeking behaviour into the child’s own immunization visits.19

Availability of outreach immunization services remained a strong independent predictor of completion after adjustment for the other five variables (AOR = 3.82; 95% CI: 1.90–7.70; p < 0.001). This is consistent with evidence from Afar, Ethiopia where households not reached by health extension workers had higher measles vaccination dropout rates,15 and from Kasese, Uganda where inadequate transport for outreach events hindered vaccine uptake.21 Outreach services likely reduce geographic and financial barriers to vaccination, provide additional platforms for health education, and extend services to caregivers who are otherwise unable to access facility-based care because of time or distance constraints.18

Caregivers who agreed that measles vaccines given at health facilities are safe had substantially higher odds of their children completing immunization than those who did not (AOR = 16.27; 95% CI: 2.83–93.64; p = 0.002). As reported in Results, this estimate proved sensitive to the exclusion of a handful of influential observations and is best treated as indicating a strong positive direction of association rather than a precisely estimated effect size or confidence interval; a bias-reduced sensitivity analysis supported the same direction at a somewhat more conservative magnitude (OR approximately 12–13). This fragility reflects the small number of caregivers who did not perceive the vaccine as safe (n = 10 of 325) rather than a problem with the overall model, whose other five predictors were stable under the same sensitivity check. Nonetheless, the direction is consistent with a substantial body of evidence linking caregiver vaccine-safety perceptions to uptake and completion of childhood immunization more broadly, and underscores that concerns about vaccine safety, even among a small minority of caregivers, may meaningfully affect completion in this setting. Because this study is cross-sectional, these interpretations describe plausible associations rather than demonstrated causal pathways, and should be read accordingly.

Limitations

This study has several limitations. The cross-sectional design limits causal inference regarding temporal relationships between exposures and immunization completion; associations reported here should be interpreted as descriptive/associational rather than causal. The multi-stage cluster sampling design was not accounted for in the sample-size calculation (no design effect was applied) or in the regression analysis (standard, rather than cluster-robust, standard errors were used); this may have led to underestimated standard errors and overly narrow confidence intervals. Variables for the multivariable model were selected using bivariate significance at p < 0.05; all six variables meeting this threshold (birth order, caregiver occupation, household income, ANC attendance, outreach services, and vaccine safety perception) were entered into the final model together, but this remains a pragmatic rather than fully conceptually driven variable-selection strategy, and may still have excluded variables that are conceptually relevant despite a non-significant bivariate association. Multicollinearity, goodness-of-fit, discrimination, and influential observations were formally assessed (Results) and did not raise concerns about the model as a whole; however, the vaccine safety perception estimate specifically was found to be sensitive to a small number of influential observations, reflecting its small reference category (n = 10), and its confidence interval should be treated as approximate rather than precise, pending re-estimation with dedicated bias-reduced (Firth-type) logistic regression software. Given the high prevalence of the outcome (76.6%), the reported odds ratios may diverge appreciably from the corresponding prevalence ratios and should not be interpreted as approximating relative risk. Immunization status was, for children whose health cards were unavailable, based on caregiver recall; this may have introduced recall bias and non-differential or differential misclassification, and because recall is generally more likely to over-report than under-report vaccination, the true completion rate may be somewhat lower than the 76.6% reported here. The exclusion of children with a prior confirmed measles diagnosis, while intended to avoid confounding from altered vaccination recommendations after natural infection, could also have modestly affected the estimated completion rate if excluded children differed systematically from those retained. The non-linear association observed between household income and completion was not hypothesized a priori and warrants cautious interpretation, as discussed above. Additionally, findings are specific to the urban context of Soroti City and may not be generalizable to rural settings in Uganda, where health access, awareness, and cultural factors may differ significantly. Finally, comparisons made in this paper between the study’s completion estimate and national MR2 coverage figures should be interpreted with caution, as the two estimates differ in reference period, age groups, and data source, as noted above.

Conclusion

The measles immunization completion rate among children aged 24–59 months in Soroti City was 76.6%, notably higher than Uganda’s national MR2 uptake of 28% (with the caveat regarding comparability noted above) but below the WHO-recommended 95% herd immunity threshold. Birth order of three and above, employed caregiver occupation, middle household income, lower ANC attendance, absence of outreach services, and caregiver doubt about vaccine safety were independently associated with lower immunization completion in this cross-sectional sample. Because intervention effectiveness cannot be established from this design, the following are offered as programmatic implications suggested by the observed associations rather than as interventions demonstrated to improve completion: strengthening targeted outreach services, integrating immunization counselling into ANC contacts, addressing caregiver concerns about vaccine safety through targeted health education, and prioritizing households with multiple children for reminder-based follow-up. Any consideration of more flexible vaccination scheduling for employed caregivers would benefit from dedicated local data on caregivers’ working hours and workplace constraints before being adopted as a specific recommendation. The non-linear income association warrants confirmation in future studies before being translated into a specific programmatic recommendation.

Acknowledgments

The authors express gratitude to the caregivers of Soroti City who participated in this study, the local council leaders and community health workers who assisted in participant identification, and the research assistants who supported data collection. Special thanks to the Soroti University School of Health Sciences and the Mbale Regional Referral Hospital Research Ethics Committee for institutional support and ethical approval.

Ethics Statement

Ethical approval was obtained from the Mbale Regional Referral Hospital Research Ethics Committee (MRRH-2025-96).

Disclosure

The authors report no conflicts of interest in this work.

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