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Erschienen in: BMC Infectious Diseases 1/2019

Open Access 01.12.2019 | Research article

Determinants of delayed or incomplete diphtheria-tetanus-pertussis vaccination in parallel urban and rural birth cohorts of 30,956 infants in Tanzania

verfasst von: Pranay Nadella, Emily R. Smith, Alfa Muhihi, Ramadhani A. Noor, Honorati Masanja, Wafaie W. Fawzi, Christopher R. Sudfeld

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2019

Abstract

Background

Delayed vaccination increases the time infants are at risk for acquiring vaccine-preventable diseases. Factors associated with incomplete vaccination are relatively well characterized in resource-limited settings; however, few studies have assessed immunization timeliness.

Methods

We conducted a prospective cohort study examining Diphtheria-Tetanus-Pertussis (DTP) vaccination timing among newborns enrolled in a Neonatal Vitamin A supplementation trial (NEOVITA) conducted in urban Dar es Salaam (n = 11,189) and rural Morogoro Region (n = 19,767), Tanzania. We used log-binomial models to assess the relationship of demographic, socioeconomic, healthcare access, and birth characteristics with late or incomplete DTP1 and DTP3 immunization.

Results

The proportion of infants with either delayed or incomplete vaccination was similar in Dar es Salaam (DTP1 11.5% and DTP3 16.0%) and Morogoro (DTP1 9.2% and DTP3 17.3%); however, the determinants of delayed or incomplete vaccination as well as their magnitude of association differed by setting. Both maternal and paternal education were more strongly associated with vaccination status in rural Morogoro region as compared to Dar es Salaam (p-values for heterogeneity < 0.05). Infants in Morogoro who had fathers and mothers with no education had 36% (95% CI: 22–52%) and 22% (95% CI: 10–34%) increased risk of delayed or incomplete DTP3 vaccination as compared to those with primary school education, respectively. In Dar es Salaam, mothers who attended their first antenatal care (ANC) visit in the 3rd trimester had 1.55 (95% CI: 1.36–1.78) times the risk of delayed or not received vaccination as compared to those with a 2nd trimester booking, while there was no relationship in Morogoro. In rural Morogoro, infants born at home had 17% (95% CI: 8–27%) increased risk for delayed or no receipt of DTP3 vaccination. In both settings, younger maternal age and poorer households were at increased risk for delayed or incomplete vaccination.

Conclusion

We found some risk factors for delayed and incomplete vaccination were shared between urban and rural Tanzania; however, we found several context-specific risk factors as well as determinants that differed in their magnitude of risk between contexts. Immunization programs should be tailored to address context-specific barriers and enablers to improve timely and complete vaccination.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12879-019-3828-3) contains supplementary material, which is available to authorized users.
Abkürzungen
ANC
Antenatal Care
DTP
Diphtheria-Tetanus-Pertussis
HepB
Hepatitis B
Hib
Haemophilus influenzae type B
LBW
Low birthweight
LMIC
Low- and middle-income country
NEOVITA
Neonatal Vitamin A Supplementation trial
RR
Relative risk
SGA
Small-for-gestational-age

Background

Routine childhood immunizations prevents an estimated 2 to 3 million deaths each year due to diphtheria, tetanus, pertussis, and measles [1]. Nevertheless, the maximal potential benefits of vaccines have not been realized in low- and middle-income countries (LMICs) due to incomplete coverage and late vaccination. The World Health Organization estimated that in 2015, over 19 million infants did not receive routine immunizations with the overwhelming majority coming from LMICs [1]. While suboptimal vaccine coverage in LMICs has been reasonably well documented, delayed vaccination has received significantly less attention. Delayed vaccination prolongs the at risk period and leaves infants vulnerable during early infancy, when the risk of severe morbidity or death is the greatest for most vaccine-preventable diseases [2].
Incomplete or delayed vaccination in LMICs may result from numerous factors including poor immunization supply chains, suboptimal access to health services, or social and cultural factors [3]. Several studies suggest that higher birth order, low maternal education, and low socioeconomic status are associated with poor adherence to vaccination schedules [3]. Studies in the Netherlands [4], Ghana [5] and Guinea-Bissau [6], have found that low birth weight was associated with delayed vaccination. In rural Ghana, greater distance to the health facility was also associated with delayed vaccination [5]. Nevertheless, no studies to the best of our knowledge have examined how the magnitude of the predictors of delayed vaccination vary by setting within the same country.
In this study, we analyzed parallel prospective cohorts of newborns in urban Dar es Salaam and rural Morogoro Region, Tanzania to assess potential differences in the contribution of social, economic, and biological factors to delayed or not received Diphtheria-Tetanus-Pertussis (DTP) vaccination. Through these comparisons, we intend to inform interventions to improve complete and timely vaccination in urban and rural immunization programs.

Methods

Study design and setting

This study utilized data from a randomized, double-blind controlled trial of Neonatal Vitamin A supplementation (NEOVITA). This trial enrolled 31,999 children in urban Dar es Salaam and rural Morogoro, Tanzania from August 2010 to March 2014 (ACTRN12610000636055). Briefly, newborns born at home or at a health facility were randomized to receive a mega-dose of vitamin A (50,000 IU) or placebo on the day of birth or within 3 days; trial recruitment and detailed data collection procedures have been presented elsewhere [7]. Newborns whose mothers were younger than 15 years old or older than 49 years were excluded from participation in the trial. In urban Dar es Salaam, 11,895 participants were enrolled at antenatal clinics and in labor wards of public health facilities in Kinondoni, Ilala, and Temeke districts. In Morogoro Region, 20,104 participants were recruited within a rural Health and Demographic Surveillance System (HDSS) that covers approximately 2400 km2 and allowed for enrollment of both health facility and home births in Kilombero, Ulanga and Kilosa districts.

Enrollment and data collection

Newborns were eligible for randomization if they were able to feed orally, were born within the past three days, were not previously enrolled in other clinical trials, intended to stay in the study area for at least six months post-delivery, and the parents provided written informed consent to participate. At the baseline visit, trained study staff administered a baseline questionnaire to mothers in order to collect information on demographic, socioeconomic, and health factors. Trained fieldworkers visited the infants 1 and 3 days after enrollment, as well as 1, 3, 6, and 12 months after birth. During these visits, fieldworkers assessed the morbidity and mortality of the infants and ascertained information about the infants’ recent nutrition intake and any immunizations the infant received since the last visit [7, 8]. All newborns enrolled in the trial were given a child health card at the time of randomization. DTP vaccination status was determined by field workers who reviewed the child health card recorded dates of vaccination at each study visit (1 day, 3 days, and then 1, 3, 6, and 12 months). Child health cards were not available at less than 0.1% of all study visits and in these few cases the date of vaccination was reported by the mother or infant caregiver.

Definition of delayed vaccination and predictors

In this study, we analyzed DTP1 and DTP3 vaccination timing. Tanzania Mainland recommended DTP1 vaccination at 4 weeks of age; however, during the trial in 2012, the pentavalent DTP + Haemophilus influenza type B (Hib) + Hepatitis B (HepB) vaccine was introduced and the recommended age at vaccination was increased to 6 weeks [9]. Tanzania recommended DTP3 at 14 weeks of age throughout the study.
There is no universal definition of delayed vaccination for DTP vaccine, although most, including the Pan American Health Organization, define late vaccination as one month or more after the recommended age of vaccination [10]. At the time of the study, LMICs were advised to set their recommended age at DTP1 vaccination at 6 weeks (4 weeks–2 months) [11, 12]. As a result, in the primary analysis we define delayed DTP1 vaccination as receipt > 90 days of age based on the upper recommended age for DTP1 (2 months or 60 days) plus 30 days late. In a sensitivity analysis, we define delayed vaccination as > 72 days based on the Tanzanian recommended age for the first pentavalent vaccine dose (6 weeks or 42 days) plus 30 days late. Due to the staggered roll-out of the pentavalent vaccine program during the study, we were not able to determine if infants were due for their first DTP vaccination at 4 weeks or 6 weeks and therefore we only present the conservative definition of 72 days late in the sensitivity analysis. Infants who were lost to follow up, died or were vaccinated before 15 days were excluded from the DTP1 analysis. The standard recommended age range for DTP3 vaccination in LMICs was 14 weeks [12 weeks–6 months]) [11, 12]. As a result, we defined delayed DTP3 vaccination as receipt > 210 days (7 months) of age in the main analysis. In a sensitivity analysis, we defined delayed DTP3 vaccination as > 128 days of age based on the Tanzanian recommended age of 14 weeks (98 days) plus 30 days late. Infants who were lost to follow up, died or were vaccinated before 60 days were excluded from the DTP3 analysis.

Statistical analysis

Univariate and multivariate relative risks of delayed or incomplete DTP1 and DTP3 vaccination (> 90 days and > 210 days, respectively) were calculated using log-binomial models stratified by Dar es Salaam and Morogoro region [13]. We also present sensitivity analyses using delayed vaccination definitions of > 72 days and > 128 days for DTP1 and DTP3, respectively. Log-binomial models did not converge in a few instances and in these cases log-Poisson models, which provide consistent but not fully efficient estimates of the relative risk and its confidence intervals, were used [14]. Preterm birth was defined as delivery at < 37 weeks gestation as assessed by maternal report of last menstrual period. Small-for-gestational-age (SGA) was defined, with the use of Oken standards, as birth weight < 10th percentile for gestational age and sex [15]. A wealth index was generated based on household ownership of assets, and households were categorized into wealth quintiles stratified by Dar es Salaam and Morogoro residence [16]. Due to collinearity, low birth weight was modeled separately from preterm birth and small-for-gestational age. P-values for trend in categorical analyses were calculated by treating the median value of each category as a continuous variable. The log-rank test was used to assess the statistical significance of potential effect modification of predictors of interest by study site (Dar es Salaam versus Morogoro). Missing data were retained with use of the missing indicator method. All P values were 2-sided with a P <  0.05 considered statistically significant. All of the analyses for this study were conducted using R version 3.3.1.

Results

In the parent NEOVITA trial, 32,483 (96.3%) newborns were screened for study eligibility and 31,999 (97.43%) were enrolled. The analysis of DTP1 and DTP3 included the 30,956 infants and 30,503 infants, respectively, who did not die and were not lost to follow-up before the start of the vaccination window. A participant flowchart is included in Additional file 1: Figure S1. Table 1 presents baseline characteristics of the urban Dar es Salaam and rural Morogoro study cohorts. The Dar es Salaam cohort had a lower proportion of low birth weight infants (8.7%) as compared to rural Morogoro (13.9%). In Dar es Salam 9.3% of infants were born SGA, while 13.6% were SGA in Morogoro. Infants from Morogoro were also of higher parity, with 17.7% being the 5th or higher child, as compared to 8.1% in Dar es Salaam. Mothers in Dar es Salaam were slightly more likely to attend their first antenatal care visit in the first trimester (13.3%) than mothers in Morogoro (9.6%). In addition, 13.4% of births occurred in the home in rural Morogoro, while there was a negligible amount (< 1%) of home births in the Dar es Salaam cohort. Mothers and fathers in Dar es Salaam were more likely to have completed school beyond the primary level and less likely to have had no formal schooling than mothers and fathers in Morogoro.
Table 1
Characteristics of participants of vaccination study cohort stratified by urban Dar es Salaam (n = 11,189) and rural Morogoro (n = 19,767) site
Characteristic
Urban Dar es Salaam
N = 11,189
n (%)
Rural Morogoro Region
N = 19,767
n (%)
Infant sex
 Male
5712 (51.1%)
10,517 (53.2%)
 Female
5473 (48.9%)
9250 (46.8%)
Parity
 Firstborn
2577 (30.3%)
4865 (28.7%)
 2nd-4th child
5239 (61.6%)
9083 (53.6%)
 5th or greater child
686 (8.1%)
3006 (17.7%)
Birthweight
  Low birthweight (< 2500 g)
967 (8.7%)
2741 (13.9%)
  Normal birthweight (≥2500 g)
10,208 (91.3%)
17,026 (86.1%)
Gestational Age
  Preterm (< 37 weeks)
1511 (19.0%)
1887 (15.9%)
  Term (≥37 weeks)
6430 (81.0%)
9978 (84.1%)
Size for gestational Age
  SGA (<10th percentile)
729 (9.3%)
1572 (13.6%)
  No SGA (≥10th percentile)
7084 (90.7%)
9987 (86.4%)
Maternal age
 < 20 years
1835 (18.5%)
4517 (23.6%)
 20–25 years
3269 (33.0%)
5266 (27.5%)
 25–30 years
2825 (28.5%)
5256 (27.4%)
 30–35 years
1396 (14.1%)
2744 (14.3%)
  ≥ 35 years
589 (5.9%)
1397 (7.3%)
Maternal education
 No formal schooling
466 (4.8%)
2098 (10.9%)
 Some primary
347 (3.6%)
1872 (9.8%)
 Completed primary
7291 (74.7%)
13,974 (72.9%)
 Secondary plus
1656 (17.0%)
1225 (6.4%)
Paternal education
 No formal schooling
189 (1.9%)
1218 (6.4%)
 Some primary
221 (2.2%)
1481 (7.7%)
 Completed primary
6631 (67.8%)
14,588 (76.1%)
 Secondary plus
2742 (28.0%)
1889 (9.9%)
Place of birth
 Home
60 (0.6%)
2646 (13.4%)
 Facility
10,819 (99.4%)
17,100 (86.6%)
Trimester of first ANC visit
 1st Trimester
1133 (13.3%)
1536 (9.6%)
 2nd Trimester
6604 (77.3%)
12,486 (77.8%)
 3rd Trimester
802 (9.4%)
2031 (12.7%)
In Dar es Salaam, of 11,189 infants eligible for DTP1 analysis, 9906 (88.5%) were vaccinated on time, 336 (3.0%) were vaccinated late (> 90 days), and 947 (8.5%) were not observed to be vaccinated during follow-up to 1 year of age. Of 10,932 infants eligible for DTP3 analysis in Dar, 9181 (84.0%) were vaccinated on time, 200 (1.8%) were vaccinated late (> 7 months), and 1551 (14.2%) were not observed to be vaccinated to 1 year of age. In Morogoro Region, of 19,767 infants eligible for DTP1 analysis, 17,959 (90.9%) were vaccinated on time, 370 (1.9%) were vaccinated late, and 1439 (7.3%) were never vaccinated. Of 19,571 infants eligible for DTP3 analysis in Morogoro Region, 16,190 (82.7%) were vaccinated on time, 516 (2.6%) were vaccinated late, and 2865 (14.6%) were never vaccinated. The distribution of infant age (days) at vaccination with DTP1 and DTP3 by site are presented in Fig. 1. The bimodal shape of the DTP1 vaccination age in Fig. 1a is due to an increase in the Tanzanian recommended age at the first DTP dose from 4 weeks to 6 weeks with the introduction of the pentavalent vaccine. The shape of the DTP3 age histogram is monomodal since the recommended age at DTP3 vaccination was 14 weeks both before and after introduction of the pentavalent vaccine.
Risk factors associated with delayed or incomplete DTP1 and DTP3 vaccination are presented in Tables 2 and 3. We determined that there was no difference in risk by infant sex of delayed or no receipt of DTP1 or DTP3 vaccination in both urban Dar es Salaam and rural Morogoro cohorts. The association between low birth weight and delayed or incomplete DTP1 vaccination varied by study cohort (p-value for interaction 0.009). In Morogoro region, low birthweight infants had 31% (95% CI: 20–40%) and 29% (95% CI: 21–36%) reduced risk of delayed or not received DTP1 and DTP3 vaccination, respectively. There was no significant association of low birth weight with DTP vaccination in Dar es Salaam. There was also no relationship between prematurity or small-for-gestational-age births and vaccination timing in either setting.
Table 2
Predictors of late (> 3 months of age) or no receipt of DTP1 vaccination among urban Dar es Salaam (n = 11,189) and rural Morogoro (n = 19,767) infants
Characteristic
Urban Dar es Salaam
Rural Morogoro Region
p-value for interaction by site
Total N
Late or no receipt of DTP1
n (%)
Multivariate Relative Risk (95% CI)
p value
Total N
Late or no receipt of DTP1
n (%)
Multivariate Relative Risk (95% CI)
p value
Total cohort
11,189
1283 (11.47%)
19,767
1808 (9.15%)
 
Infant sex
 Male
5712
669 (11.71%)
1.04 (0.94–1.16)
0.40
10,517
983 (9.35%)
1.05 (0.96–1.15)
0.26
0.93
 Female
5473
613 (11.20%)
Reference
 
9250
826 (8.93%)
Reference
  
Parity
 Firstborn
2577
332 (12.88%)
Reference
 
4865
514 (10.57%)
Reference
 
0.17
 2nd-4th child
5239
566 (10.80%)
0.95 (0.82–1.10)
0.48
9083
808 (8.90%)
0.83 (0.73–0.94)
0.003
 
 5th or greater child
686
80 (11.66%)
1.05 (0.81–1.35)
0.73
3006
330 (10.98%)
1.05 (0.89–1.25)
0.53
 
Birthweight
 Low birthweight (< 2500 g)
967
113 (11.69%)
0.95 (0.79–1.14)
0.56
2741
184 (6.71%)
0.69 (0.60–0.80)
<  0.001
0.009
 Normal birthweight (≥2500 g)
10,208
1167 (11.43%)
Reference
 
17,026
1625 (9.54%)
Reference
  
Gestational Age
 Preterm (< 37 weeks)
1511
172 (11.38%)
1.00 (0.85–1.17)
0.97
1887
189 (10.02%)
0.99 (0.85–1.16)
0.91
0.60
 Term (≥37 weeks)
6430
674 (10.48%)
Reference
 
9978
898 (9.00%)
Reference
  
Size for gestational Age
 SGA (<10th percentile)
729
77 (10.56%)
0.88 (0.71–1.11)
0.28
1572
134 (8.52%)
0.93 (0.78–1.11)
0.40
0.76
 No SGA (≥10th percentile)
7084
755 (10.66%)
Reference
 
9987
918 (9.19%)
Reference
  
Maternal age
  < 20 years
1835
247 (13.46%)
1.48 (1.23–1.78)
<  0.001*
4517
446 (9.87%)
1.00 (0.86–1.15)
0.003*
0.23
 20–25 years
3269
340 (10.40%)
1.18 (1.01–1.39)
 
5266
513 (9.74%)
1.08 (0.96–1.22)
  
 25–30 years
2825
247 (8.74%)
Reference
 
5256
478 (9.09%)
Reference
  
 30–35 years
1396
121 (8.67%)
0.96 (0.78–1.18)
 
2744
208 (7.58%)
0.82 (0.70–0.96)
  
  ≥ 35 years
589
54 (9.17%)
0.98 (0.73–1.31)
 
1397
107 (7.66%)
0.77 (0.62–0.94)
  
Maternal education
 No formal schooling
466
58 (12.45%)
1.16 (0.90–1.50)
0.05*
2098
264 (12.58%)
1.13 (0.98–1.30)
0.17*
0.29
 Some primary
347
43 (12.39%)
1.09 (0.82–1.45)
 
1872
203 (10.84%)
1.10 (0.95–1.28)
  
 Completed primary
7291
746 (10.23%)
Reference
 
13,974
1169 (8.37%)
Reference
  
 Secondary plus
1656
144 (8.70%)
0.89 (0.74–1.06)
 
1225
107 (8.73%)
1.11 (0.91–1.35)
  
Paternal education
 No formal schooling
189
20 (10.58%)
0.88 (0.58–1.35)
0.14*
1218
197 (16.17%)
1.59 (1.36–1.87)
<  0.001*
0.04
 Some primary
221
38 (17.19%)
1.57 (1.16–2.11)
 
1481
177 (11.95%)
1.32 (1.13–1.53)
  
 Completed primary
6631
686 (10.35%)
Reference
 
14,588
1228 (8.42%)
Reference
  
 Secondary plus
2742
243 (8.86%)
0.93 (0.80–1.08)
 
1889
139 (7.36%)
0.93 (0.78–1.11)
  
Wealth quintile
 Q1 (Poorest)
1577
208 (13.12%)
1.43 (1.13–1.80)
0.01*
3988
433 (10.86%)
1.32 (1.13–1.54)
<  0.001*
0.02
 Q2
2325
232 (9.98%)
1.12 (0.89–1.41)
 
4350
488 (11.22%)
1.35 (1.16–1.57)
  
 Q3
1712
183 (10.69%)
1.24 (0.98–1.57)
 
3247
240 (7.39%)
1.04 (0.88–1.23)
  
 Q4
2988
283 (9.47%)
1.15 (0.92–1.42)
 
3810
318 (8.35%)
1.13 (0.97–1.32)
  
 Q5 (Richest)
1282
102 (7.96%)
Reference
 
3828
276 (7.21%)
Reference
  
Place of birtha
 Home
2646
310 (11.72%)
1.20 (1.06–1.35)
0.004
 
 Facility
 
17,100
1492 (8.73%)
Reference
  
Trimester of first ANC visit
 1st Trimester
1133
112 (9.89%)
0.86 (0.71–1.04)
<  0.001*
1536
144 (9.38%)
0.90 (0.76–1.06)
0.63*
0.001
 2nd Trimester
6604
737 (11.16%)
Reference
 
12,486
1259 (10.08%)
Reference
  
 3rd Trimester
802
139 (17.33%)
1.55 (1.32–1.83)
 
2031
196 (9.65%)
0.95 (0.83–1.10)
  
*p value for trend
aParticipants in Dar es Salaam primarily enrolled from facilities
Table 3
Predictors of late (> 7 months of age) or no receipt of DTP3 vaccination among urban Dar es Salaam (n = 10,932) and rural Morogoro (n = 19,571) infants
Characteristic
Urban Dar es Salaam
Rural Morogoro Region
p-value for interaction by site
Total N
Late or no receipt of DTP3
n (%)
Multivariate Relative Risk (95% CI)
p value
Total N
Late or no receipt of DTP3
n (%)
Multivariate Relative Risk (95% CI)
p value
Total cohort
10,932
1751 (16.01%)
19,571
3381 (17.28%)
 
Infant sex
 Male
5578
919 (16.48%)
1.06 (0.97–1.15)
0.20
10,406
1801 (17.31%)
1.01 (0.95–1.07)
0.77
0.29
 Female
5350
831 (15.53%)
Reference
 
9165
1580 (17.24%)
Reference
  
Parity
 Firstborn
2509
423 (16.86%)
Reference
 
4807
886 (18.43%)
Reference
 
0.02
 2nd-4th child
5147
807 (15.68%)
1.10 (0.98–1.25)
0.11
8989
1519 (16.90%)
0.91 (0.84–1.00)
0.04
 
 5th or greater child
668
103 (15.42%)
1.19 (0.95–1.48)
0.13
2978
638 (21.42%)
1.18 (1.05–1.32)
0.006
 
Birthweight
  Low birthweight (< 2500 g)
942
139 (14.76%)
0.85 (0.73–1.00)
0.050
2713
342 (12.61%)
0.71 (0.64–0.79)
<  0.001
0.06
  Normal birthweight (≥2500 g)
9990
1612 (16.14%)
Reference
 
16,858
3039 (18.03%)
Reference
  
Gestational Age
  Preterm (< 37 weeks)
1478
244 (16.51%)
1.01 (0.89–1.16)
0.84
1861
340 (18.27%)
0.91 (0.82–1.01)
0.09
0.72
  Term (≥37 weeks)
6280
928 (14.78%)
Reference
 
9887
1772 (17.92%)
Reference
  
Size for gestational Age
         
  SGA (<10th percentile)
710
106 (14.93%)
0.90 (0.75–1.08)
0.26
1559
256 (16.42%)
0.92 (0.82–1.04)
0.18
0.55
  No SGA (≥10th percentile)
6922
1041 (15.04%)
Reference
 
9885
1789 (18.10%)
Reference
  
Maternal age
 < 20 years
1785
347 (19.44%)
1.58 (1.36–1.84)
<  0.001*
4472
836 (18.69%)
1.10 (1.00–1.21)
<  0.001*
0.02
 20–25 years
3204
481 (15.01%)
1.20 (1.05–1.36)
 
5219
942 (18.05%)
1.11 (1.02–1.21)
  
 25–30 years
2783
356 (12.79%)
Reference
 
5196
865 (16.65%)
Reference
  
 30–35 years
1378
165 (11.97%)
0.90 (0.76–1.07)
 
2725
429 (15.74%)
0.92 (0.82–1.02)
  
  ≥ 35 years
579
64 (11.05%)
0.81 (0.62–1.04)
 
1384
220 (15.90%)
0.85 (0.74–0.98)
  
Maternal education
 No formal schooling
655
105 (16.03%)
1.00 (0.83–1.21)
0.21*
2175
520 (23.91%)
1.22 (1.10–1.34)
<  0.001*
0.049
 Some primary
339
60 (17.70%)
1.05 (0.83–1.33)
 
1858
416 (22.39%)
1.25 (1.13–1.38)
  
 Completed primary
7163
1062 (14.83%)
Reference
 
13,847
2185 (15.78%)
Reference
  
 Secondary plus
1625
195 (12.00%)
0.86 (0.74–1.00)
 
1213
177 (14.59%)
0.99 (0.85–1.15)
  
Paternal education
 No formal schooling
187
26 (13.90%)
0.84 (0.58–1.22)
0.05*
1197
339 (28.32%)
1.36 (1.22–1.52)
<  0.001*
0.004
 Some primary
217
56 (25.81%)
1.66 (1.31–2.10)
 
1461
316 (21.63%)
1.18 (1.06–1.31)
  
 Completed primary
6495
965 (14.86%)
Reference
 
14,459
2360 (16.32%)
Reference
  
 Secondary plus
2702
336 (12.44%)
0.92 (0.81–1.04)
 
1887
261 (13.91%)
0.96 (0.85–1.09)
  
Wealth quintile
 Q1 (Poorest)
1544
300 (19.43%)
1.25 (1.04–1.49)
0.006*
3938
807 (20.49%)
1.32 (1.18–1.47)
<  0.001*
<  0.001
 Q2
2276
318 (13.97%)
0.93 (0.78–1.11)
 
4311
926 (21.48%)
1.37 (1.23–1.52)
  
 Q3
1672
250 (14.95%)
1.03 (0.86–1.23)
 
3222
447 (13.87%)
1.01 (0.89–1.13)
  
 Q4
2947
374 (12.69%)
0.91 (0.77–1.08)
 
3769
584 (15.49%)
1.10 (0.98–1.23)
  
 Q5 (Richest)
1258
169 (13.43%)
Reference
 
3793
514 (13.55%)
Reference
  
Place of birth
 Homea
2614
584 (22.34%)
1.17 (1.08–1.27)
<  0.001
 
 Facility
 
16,938
2789 (16.47%)
Reference
  
Trimester of first ANC visit
 1st Trimester
1108
158 (14.26%)
0.92 (0.79–1.07)
<  0.001*
1517
261 (17.21%)
0.89 (0.79–0.99)
0.19*
<  0.001
 2nd Trimester
6469
996 (15.40%)
Reference
 
12,350
2288 (18.53%)
Reference
  
 3rd Trimester
781
187 (23.94%)
1.55 (1.36–1.78)
 
2014
370 (18.37%)
0.98 (0.89–1.09)
  
*p value for trend
aParticipants in Dar es Salaam primarily enrolled from facilities
Infants in the highest wealth quintile had a reduced risk of delayed or incomplete vaccination with DTP1 and DTP3 in both Dar es Salaam and Morogoro. This association between wealth quintile and delayed or incomplete vaccination was stronger in Morogoro than in Dar es Salaam for both DTP1 and DTP3 (p-values for interaction 0.02, < 0.001). The magnitude of the association between paternal education and delayed or incomplete vaccination was stronger in Morogoro for both DTP1 and DTP3 (p-value for interaction 0.04, 0.004). In rural Morogoro, infants of fathers with no formal education had a 59% (95% CI: 36, 87%) and 36% (95% CI: 22, 52%) increased risk of delayed or not received DTP1 and DTP3 vaccination, respectively as compared to those whose fathers completed primary school. In contrast, there was no indication that infants of non-educated fathers had an increased risk of delayed or not received vaccination in Dar es Salaam. Greater maternal education was significantly associated with reduced risk of delayed or incomplete vaccination with DTP3 in Morogoro (p-value < 0.001), but there was no significant association of maternal education with DTP3 vaccination in Dar es Salaam.
In terms of indicators of access to care, mothers in Dar es Salaam who attended their first ANC visit later in pregnancy had an increased risk of delayed or no receipt of both DTP1 (p-value < 0.001) and DTP3 (p-value < 0.001) vaccination. There was no relationship of ANC timing and vaccination status in rural Morogoro. Nevertheless, home births in the Morogoro Region had 1.20 (95% CI: 1.06, 1.35) and 1.17 (95% CI: 1.08, 1.27) times the risk of delayed or incomplete DTP1 and DTP3 vaccination as compared to facility births, respectively.
As expected, the percentage of infants with delayed vaccination increased when the earlier cut-offs of > 72 days for DTP1 and > 128 days for DTP3 were used in sensitivity analyses (Additional file 1: Tables S1 and S2). For DTP1, 15.3 and 11.8% of infants had delayed or incomplete vaccination in Dar es Salaam and Morogoro, respectively. For DTP3 vaccination, these percentages were 31.5 and 33.6%, respectively. In terms of risk factors, we found similar effect sizes in the sensitivity analysis (Additional file 1: Tables S1 and S2) and that the magnitude of the associations for wealth, paternal education, low birthweight, and ANC timing differed between Dar es Salaam and Morogoro Region.

Discussion

In this prospective birth cohort study of 30,956 infants from urban Dar es Salaam and rural Morogoro Region, Tanzania, we determined that the proportion of infants with incomplete or late vaccination was similar between the contexts at about 10% for DTP1 and 15% for DTP3. We found some shared determinants of delayed or incomplete vaccination between settings; however, several factors differed in magnitude between urban and rural settings. In urban Dar es Salaam, infants born to young mothers, infants from households in the lowest wealth quintile, and mothers whose first ANC visit was in the third trimester were more likely to be vaccinated late or never. In rural Morogoro region, infants born normal birth weight, at home, to uneducated fathers, to poorer households, and to young mothers had an elevated risk of delayed or incomplete DTP vaccination.
Infants born to wealthier households were less likely to experience delayed or incomplete vaccination in both urban and rural settings in our study. The association between greater household wealth and reduced risk of delayed or incomplete vaccination has been previously noted [3]. Access to greater financial resources may address the costs associated with vaccination, including transport to the healthcare facility and parents foregoing daily wage to accompany their child to health clinics. Furthermore, individuals in the lowest wealth quintiles are more likely to live further from healthcare facilities [17], which is a commonly reported driver of poor vaccination uptake [18]. We did not have access to data on the distance to the nearest health center in our study. Financial and non-financial incentives to improve vaccination coverage have shown mixed effectiveness through extensive trials in LMICs [19, 20]. As a result, further implementation studies and trials are needed to determine effective interventions to overcome health care access barriers to vaccination among urban and rural poor families.
Younger maternal age was associated with delayed or incomplete vaccination with DTP3 in both Dar es Salaam and Morogoro region. However, lower maternal education was associated with an increased risk of delayed or incomplete vaccination with DTP3 in rural Morogoro, but there was no evidence of an association in Dar es Salaam. Strong relationships between maternal education, maternal age, and vaccination status have been observed in both high-income and LMIC settings, including Tanzania [3, 21]. We also found that lower paternal education, independent of maternal education, was associated with an increased risk of delayed or no receipt of DTP vaccination in both Dar es Salaam and Morogoro; however, the magnitude of the association was significantly stronger in rural Morogoro. Research has shown that lack of support by men can inhibit access of women to family planning and healthcare, particularly when men hold greater economic power within the households [22, 23]. Our data suggest that paternal sensitization and involvement interventions may be effective in improving vaccine uptake in rural Tanzania and similar settings, but these interventions may not as effective in improving vaccination timeliness in urban centers.
Low birthweight was associated with reduced risk of delayed or not received DTP1 and DTP3 vaccination in rural Morogoro Region, while there was no relationship in urban Dar es Salaam. This result is the opposite of findings from both high-income countries, like the Netherlands [4], and low-income countries, like Ghana [5], Guinea-Bissau [6], and Kenya [24], where low birthweight was associated with increased risk of delayed or incomplete vaccination. Preterm birth has also been shown to be associated with delayed vaccination in high-income settings [18]. In some LMIC settings, caregivers may be reluctant to bring ill or undernourished children to a clinic for vaccination due to social stigma and providers may delay vaccination of ill children [18]. Nevertheless, in rural Tanzania we found low birth weight infants were significantly less likely to have delayed or incomplete vaccinations. While some LMICs recommend waiting until infants have reached desired weights before administering certain vaccines [24], Tanzania’s Expanded Program for Immunization (EPI) does not do so [9]. Targeting low birth weight or preterm infants with additional counselling on vaccination does not appear to be a promising intervention to improve vaccination status in the study context.
Home birth was strongly associated with increased risk of delayed or no receipt of DTP vaccination in Morogoro region while third-trimester antenatal care visit was associated with an increased risk in Dar es Salaam. Distance to a healthcare facility is known to be a primary barrier to antenatal care, facility births, and timely childhood vaccination [18, 25, 26]. Furthermore, decreased health seeking behavior caused by negative perceptions of formal healthcare has also been shown to contribute to home births, poor antenatal care use, and delayed vaccination [2628]. However, there has not been widespread documentation of negative perceptions of routine child health services and vaccination in Tanzania. A qualitative study in rural Morogoro region has documented strong positive perception and high value of vaccination in the community [29]. Accordingly, interventions that target homebirths and improve healthcare system access in rural Tanzania and counselling interventions for women who book ANC late may significantly improve vaccination rates in urban Tanzania.
This study has several limitations. First, while the rural Morogoro region sample was a population-representative sample of all facility and home births within a demographic surveillance system, the Dar es Salaam site only recruited newborns born in a facility which may somewhat limit its representativeness. Nevertheless, the 2016 Tanzanian Demographic and Health Survey (DHS) found that 94% of women in Dar es Salaam delivered at a health facility and as a result the relatively small number of home births in this context would likely have minimal impact on our risk estimates [30]. The parent trial excluded infants in the first 3 days of life who were not able to feed orally. As a result, our study is not able to examine vaccination status among these high-risk infants; however, only 38 newborns were excluded for this reason in the parent trial and therefore would have minimal to no effect on our risk factor estimates. In addition, we did not collect information on the distance between home and the nearest health facility, which is known to influence the risk of delayed vaccination, particularly in rural areas [31]. Furthermore, in this study, fieldworkers conducted home visits primarily to assess infant vital status which may have had some impact on care-seeking behaviors; however, fieldworkers were not trained to counsel on vaccination timeliness and therefore the effect on delayed and no receipt of DTP vaccination is likely minimal. Nevertheless, there are several major strengths to this study. It is the largest birth cohort study of vaccination timing containing both an urban and rural sample. Furthermore, our prospective cohort design allowed us to accurately ascertain vaccination status and timing among infants who died during follow-up. Coverage and risk estimates from cross-sectional vaccination surveys, like the DHS, can be prone to survival bias since vaccination status is difficult to obtain post mortem as the vaccination card may be destroyed, mothers may travel after a child dies, or fieldworkers may be reluctant to ask for vaccination cards [32]. In addition, we prospectively followed infants from birth, which unlike cross-sectional studies, provides complete and accurate data on vaccination timing and birth risk factors.

Conclusions

We found that both urban and rural infants were at risk for not being vaccinated on time. While some of the risk factors for delayed or incomplete vaccination appear to be  important in both urban and rural settings, others varied significantly by context. Our data strongly suggests that national immunization programs should tailor interventions to the local context. In both urban Dar es Salaam and rural Morogoro Region, interventions targeting poor households, young mothers, and mothers with low education may decrease delayed or incomplete vaccination. However, in Morogoro Region, additional interventions focused on home births and fathers with low education appear to be particularly promising to improve timely vaccination. Future randomized trials and rigorous implementation evaluations should determine the effectiveness of intervention packages and strategies to address barriers to timely immunization in diverse urban and rural African settings.

Acknowledgements

We thank the mothers and their newborns for participating in this study and the communities where the primary trial was carried out for their support and cooperation. We also thank the administrative authorities of Kinondoni, Ilala and Temeke districts in Dar es Salaam region; Kilombero, Ulanga and Kilosa districts in Morogoro region for their support. Special thanks to administrative staff of hospitals, health centers and dispensaries where the study was conducted. We acknowledge coordinators, supervisors, research assistants, field supervisors, interviewers and HDSS staff at Ifakara Health Institute for their tireless efforts that made the study successful.

Funding

The NEOVITA study was supported by the Bill & Melinda Gates Foundation (Grant number OPPGH5297), with funds supplied to the World Health Organization. The sponsor had no role in the analysis, results, or the interpretation of the findings presented in this manuscript.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
The institutional review boards of the Harvard School of Public Health, Ifakara Health Institute, National Medical Research Coordinating Council of Tanzania and the WHO Ethical Review Committee approved the study protocol. Individual informed consent was sought from parents who provided written informed consent for their and their child’s participation in the study. The study IRBs determined that mothers 15–18 years of age were considered to be emancipated minors and therefore parents of mothers under 18 did not require consent from their parent/guardian for their or their child’s participation. Mothers under 15 years of age were excluded from the study.
Not Applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Metadaten
Titel
Determinants of delayed or incomplete diphtheria-tetanus-pertussis vaccination in parallel urban and rural birth cohorts of 30,956 infants in Tanzania
verfasst von
Pranay Nadella
Emily R. Smith
Alfa Muhihi
Ramadhani A. Noor
Honorati Masanja
Wafaie W. Fawzi
Christopher R. Sudfeld
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2019
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-019-3828-3

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Bessere Prognose mit links- statt rechtsseitigem Kolon-Ca.

06.05.2024 Kolonkarzinom Nachrichten

Menschen mit linksseitigem Kolonkarzinom leben im Mittel zweieinhalb Jahre länger als solche mit rechtsseitigem Tumor. Auch aktuell ist das Sterberisiko bei linksseitigen Tumoren US-Daten zufolge etwa um 11% geringer als bei rechtsseitigen.

Echinokokkose medikamentös behandeln oder operieren?

06.05.2024 DCK 2024 Kongressbericht

Die Therapie von Echinokokkosen sollte immer in spezialisierten Zentren erfolgen. Eine symptomlose Echinokokkose kann – egal ob von Hunde- oder Fuchsbandwurm ausgelöst – konservativ erfolgen. Wenn eine Op. nötig ist, kann es sinnvoll sein, vorher Zysten zu leeren und zu desinfizieren. 

Aquatherapie bei Fibromyalgie wirksamer als Trockenübungen

03.05.2024 Fibromyalgiesyndrom Nachrichten

Bewegungs-, Dehnungs- und Entspannungsübungen im Wasser lindern die Beschwerden von Patientinnen mit Fibromyalgie besser als das Üben auf trockenem Land. Das geht aus einer spanisch-brasilianischen Vergleichsstudie hervor.

Wo hapert es noch bei der Umsetzung der POMGAT-Leitlinie?

03.05.2024 DCK 2024 Kongressbericht

Seit November 2023 gibt es evidenzbasierte Empfehlungen zum perioperativen Management bei gastrointestinalen Tumoren (POMGAT) auf S3-Niveau. Vieles wird schon entsprechend der Empfehlungen durchgeführt. Wo es im Alltag noch hapert, zeigt eine Umfrage in einem Klinikverbund.

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