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BCG vaccination in southern rural Mozambique: an overview of coverage and its determinants based on data from the demographic and health surveillance system in the district of Manhiça

  • Elena Marbán-Castro1,
  • Charfudin Sacoor2,
  • Ariel Nhacolo2,
  • Orvalho Augusto2,
  • Edgar Jamisse2,
  • Elisa López-Varela1, 2,
  • Aina Casellas1,
  • John J. Aponte1, 2,
  • Quique Bassat1, 2, 3,
  • Betuel Sigauque2,
  • Eusebio Macete2 and
  • Alberto L. Garcia-Basteiro1, 2, 4Email author
BMC PediatricsBMC series – open, inclusive and trusted201818:56

https://doi.org/10.1186/s12887-018-1003-4

Received: 31 March 2017

Accepted: 23 January 2018

Published: 13 February 2018

Abstract

Background

Over the past four decades, the World Health Organization established the Expanded Programme on Immunization (EPI) to foster universal access to all relevant vaccines for all children at risk. The success of this program has been undeniable, but requires periodic monitoring to ensure that coverage rates remain high. The aim of this study was to measure the BCG vaccination coverage in Manhiça district, a high TB burden rural area of Southern Mozambique and to investigate factors that may be associated with BCG vaccination.

Methods

We used data from the Health and Demographic Surveillance System (HDSS) run by the Manhiça Health Research Centre (CISM) in the district of Manhiça. A questionnaire was added in the annual HDSS round visits to retrospectively collect the vaccination history of children under the age of 3 years. Vaccinations are registered in the National Health Cards which are universally distributed at birth. This information was collected for children born from 2011 to 2014. Data on whether a child was vaccinated for BCG were collected from these National Health Cards and/or BCG scar assessment.

Results

A total of 10,875 number of children were eligible for the study and 7903 presented the health card. BCG coverage was 97.4% for children holding a health card. A BCG-compatible scar was observed in 99.0% of all children and in 99.6% of children with recorded BCG in the card. A total of 93.4% of children had been vaccinated with BCG within their first 28 days of life. None of the factors analysed were found to be associated with lack of BCG vaccination except for living in the municipality of Maluana compared to living in the municipality of Manhiça; (OR = 1.89, 95% CI: 1.18-3.00). Coverage for other EPI vaccines during the first year of life was similarly high, but decreased for subsequent doses.

Conclusions

BCG coverage is high and timely administered. Almost all vaccinated infants develop scar, which is a useful proxy for monitoring BCG vaccine implementation.

Keywords

BCG vaccineTuberculosisPediatricsExpanded programme on immunizationEpidemiologyMozambique

Background

Tuberculosis (TB) remains a global public health concern, responsible for an estimated 1.8 million deaths in 2015. It stands as the leading cause of death by an infectious agent worldwide [1]. The only available vaccine to fight TB is the Bacille Calmette-Guérin (BCG) vaccine, first administered in 1921 and, probably the most widely used vaccine in the world [2, 3]. Although the efficacy of BCG against pulmonary TB has been questioned [4], it remains an essential approach for prevention of the most severe forms of TB in children (with an estimated efficacy against miliary TB and TB meningitis of 77 and 73% respectively) [5, 6]. It also reduces infection [7] and all-cause mortality through non-specific effects of the immune system [8]. A recent study has shown a long-lasting protection of BCG, being more cost-effective than previously thought [9]. Moreover, non TB beneficial effects have been reported such as protection against other causes of death, or reduced risk of death from pneumonia and malaria (studies from African and Asian low-income countries) [2, 10, 11]. Administered at birth, BCG reduces neonatal mortality by 48% in low-birth weight infants [12]. An added importance of BCG is its proximity to the delivery event and thus being the entry point to EPI and other health packages [12].

The WHO recommends vaccinating all newborns in endemic areas with BCG at birth, except in cases of positive or suspicion of HIV infection [4]. In settings where HIV status cannot be discarded at the time of vaccination, for example, infants born to HIV-positive mothers with unknown status and lacking suggestive symptoms, BCG should be given after considering local epidemiology.

The development of a scar secondary to BCG vaccination is a good indicator of vaccination response, associated with reduction of childhood mortality [5, 11, 13], but there are other factors involved in the lack of the immune response, such as cold chain management. The most widely used strategies to assess BCG vaccination include the verification of its administration through vaccination cards [2, 1419] and the direct observation of a BCG-compatible scar [2, 14, 20, 21]. Studies have reported many risk factors associated with no vaccination, including female gender, great number of siblings, lower mother’s education, low knowledge of vaccine schedule, single or divorced marital status, poor wealth index and low density of health workers, among others [14, 17, 2124].

Mozambique is one of the countries with highest TB incidence and lowest TB case detection rates in the world [1, 25]. A recent study showed that TB is associated with 6.5% of all deaths in a rural district in the south of the country [26]. TB control strategies are based on improving and enhancing access to diagnosis treatment, and prevention through vaccination or preventive treatment. The Mozambican Expanded Programme on Immunization (EPI) was first introduced in 1979 with a commitment of reducing infant mortality and morbidity by immunization [27]. Nevertheless, constraints related to its weak performance have been identified at several levels: poor programme data management, inadequate logistic, insufficient financial resources and cold chain management, among others [27]. A complete immunization program for the first year of life includes BCG and an Oral Polio Vaccine (OPV) at birth, three more doses of OPV and three doses of pentavalent vaccine (Diphtheria, Tetanus, Pertussis, Hepatitis B, Haemophilus influenzae type b) at 6, 10 and 14 weeks, and a measles vaccine at month 9 respectively. More recently, the conjugate vaccines against pneumococcal disease (2009) and against rotavirus (2011) have also been added to this schedule. Vaccines are administered free of charge and at several peripheral health care centres, widening the possibilities of being vaccinated.

The WHO (2015) reports an official estimated BCG coverage for Mozambique of 95% based on data from the Demographic and Health Survey [28]. However, the reliability of these official estimates has been questioned because BCG vaccination coverage differs from institution to institution and estimates have been reported above 100% [18, 29]. Moreover, critical BCG vaccine shortages have been reported between 2013 to 2015 in many countries [30]. Thus, this study was conducted to measure BCG vaccination coverage among children below 36 months of age, through BCG recorded in national health cards and by BCG scar assessment. As secondary objectives, we aimed to a) analyse BCG timeliness, in order to evaluate whether the vaccine was given in the right time period b) compare the coverage of BCG to other vaccines and c) identify the socio-demographic factors that might be associated with lack of BCG vaccination.

Methods

Study design and setting

The study was conducted in the district of Manhiça, Maputo Province, a rural area of Southern Mozambique, where the Manhiça Health Research Centre (CISM) runs a Health and Demographic Surveillance System (HDSS) since its foundation in 1996 [31]. It is a high TB and HIV burden area [32, 33]. In 2014, the HDSS was expanded to cover the entire district, an area of 2380 km2 that comprises around 38,000 enumerated and geo-positioned households, and about 178,000 individuals. Compared to the official census, DHS, health service data and civil registrations, the HDSS is considered a gold standard tool for population indicators and cross-national comparisons [1, 34].

In Mozambique, where high pediatric TB rates and low case detection rates have been reported [35, 36], children receive a national health card (also called “vaccination card”) at birth or in their first contact with the health system, where immunization, anthropometric and basic health data are registered. All children born in the district of Manhiça participate in the HDSS.

Design / participants

In every HDSS round, demographic information about births, deaths and migration is updated. This is a cross-sectional study performed at the time of the HDSS census rounds of 2014 and 2015, which included a specific form to collect information about vaccination status. In each round, information was collected for children who were up to 3 years of age, thus in the round of 2014, children born in 2011, 2012 and 2013 were evaluated; and from 2012 onwards for the round of 2015. Information for all children who were less than 36 months of age at the HDSS census rounds was selected. Health cards, whenever available, were evaluated by the field worker, who collected information about administration of all vaccines. In order to estimate BCG and other EPI vaccines coverage through the assessment of vaccination card, we only included children who presented the card at the time of the interview; in order to assess BCG vaccination coverage through the presence of scar, we included all children observed at the visits.

Data collection and analysis

Data cleaning, prior to data analysis, included deletion of duplicated records or incomplete variables. Duplicated observations occurred because the questionnaire was administered to every child irrespective of having or not responded to previous rounds. This allowed to have the most updated information for missed children in previous visits and newborns. When duplicate observations were present, those observations with the most complete data for all variables were preserved.

BCG vaccination coverage (VC) was defined as the proportion of children with recorded BCG vaccine in their health card divided among children whose health card was assessed and readable. VC was calculated as a proportion of children receiving a BCG or other EPI vaccines divided by the total number of eligible children (those who should have received it according to their age at the time of the visit and whose health card was assessed, readable and without missing dates). VC was calculated as a proportion, with 95% confidence intervals (CI). Information about children included variables such as sex, number of siblings, season of birth and area of residence. Mothers’ data was obtained from other HDSS questionnaires in which information about family members is routinely collected, including religion, education or marital status. Variables at household level, such as wealth index and distance to nearest health centre were also included. The variable wealth index was estimated using principal component analysis (PCA) with variables related to the household assets following the recommendations of Vyas et al. [37].

To measure the coverage of BCG through scar assessment, the number of children who presented a BCG scar was divided by the total number of children assessed for scarring. The coverage was also measured among children with and without health cards and among children with BCG according to their health card. Delay in BCG administration was defined as a child receiving BCG vaccine after the first 28 days of life.

In the descriptive analysis absolute and relative frequencies were calculated. The description included qualitative variables and quantitative variables categorized according to the objective of the study.

Every variable which a priori seemed to be potentially associated with absence of BCG vaccination in the card was tabulated against BCG administration. Odds Ratios with a 95% CI and p-values were calculated. A stepwise procedure was carried out in order to build a multivariate logistic regression model using those variables with p-values < 0.15 in the univariate analysis.

The analysis was conducted using Stata 13 (StataCorp LP, College Station, TX, USA). Graphs and tables were produced with Excel (Microsoft Office 2016, USA).

Results

Population and socio-demographic characteristics

According to CISM’s HDSS database, 11,537 children were born between 1st January 2011 and 31st December 2014 in the district of Manhiça. From the 10,875 eligible children (born in that period and under 36 months at the time of annual visits), 9512 children were visited. Around 72.9% (7903/10,875) of children presented a health card to the field workers for transcription of the information on vaccination. Of 2972 children whose card was not available, 48.9% of cases declared the reason was that the adult responding to the HDSS questions could not find the card and, in almost a quarter, 23.1%, no reason was recorded.

BCG and other vaccines coverage

Among children with a health card, information about BCG vaccination (either yes or no) was recorded in 98.9% of the cases and, from those, 91.9% were present at the time of the interview allowing the evaluation of their arm to see the scar post BCG vaccination (see Fig. 1). Regardless of having the vaccination card, 8298 children were evaluated for presence of BCG scar. Characteristics of study participants are described in Table 1. Additional file 1 presents the characteristics of infants with and without health card.
Figure 1
Fig. 1

Flow of study participants. Children less than 36 months of age born in Manhiça from 2011 to 2014 and eligible to participate in the study: an adult was at home when interviews occurred, they presented the child’s health card and the children were alive

Table 1

Demographic and socioeconomic characteristics of less than 36-months old children

Variablea

n

%

Variable

n

%

Sex

Mother’s antenatal visits

 Boy

3979

50.4

 1 to 2

170

9.8

 Girl

3921

49.6

 3 or more

1573

90.3

Number of siblings

Place of delivery

 None

9

0.5

 Health centre

1665

95.6

 1 to 2

851

48.8

 Home/Way to hospital

77

4.4

 3 or above

883

50.7

Type of birth

Season of birth

 Natural

1655

95.0

 Rainy

4329

54.8

 C-Section

88

5.0

 Dry

3574

45.2

Distance to health centre

Wealth Index

 Less than 5 km

988

19.8

 1st Quintile

1312

18.4

 More than 5 km

3994

80.2

 2nd Quintile

1478

20.8

Mother’s marital status

 3rd Quintile

1450

20.4

 Single

513

10.1

 4th Quintile

1451

20.4

 Married/Union

3909

77.2

 5th Quintile

1418

20.0

 Divorced/Separated

641

12.7

Area

Mother’s education

 Manhiça Sede

1706

21.6

 No education

2110

43.0

 3 de Fevereiro

1593

20.2

 Primary

2308

47.0

 Ilha Josina Machel

144

1.8

 Secondary or Higher

491

10.0

 Xinavane

2215

28.0

Mother’s religion

 Maluana

1689

21.4

 Christian

2126

44.5

 Calanga

556

7.0

 Muslim

42

0.9

   

 Traditional African

2176

45.5

   

 Others

435

9.1

a Many variables presented missing data due to lack of completeness of the questionnaire, or because some of them were implemented in different years

A total of 7612 children under the age of 36 months whose national health card was evaluated were BCG vaccinated in the district of Manhiça, yielding a BCG coverage of 97.4%. Table 2 and Fig. 2 show the vaccination coverage for all EPI vaccines administered in the district of Manhiça in the first year of life during the years 2011 to 2014. Coverage for each of the four doses of Oral Polio Vaccines were: 96.3%, 95.6%, 93.8% and 92.1%. For the pentavalent DPT/HepB/Hib vaccine, coverage was 96%, 94.5% and 93%. Measles vaccine was received around month 9 of life by 85.6% of infants. Around 90.2% of all study children had received all four doses of Oral Polio Vaccine and 91.8% of the doses of the pentavalent vaccine DPT/HepB/Hib. We found no differences in coverage for any of the vaccines by year of vaccination.
Table 2

Vaccination coverage among children aged less than 36 months in the district of Manhiça (2011-2014)

Name of the vaccine

Number of children vaccinated (by card)

Number of children not vaccinated (by card)

Total children evaluated for each vaccineb

%

95% CI

BCG

7613

204

7817

97.4%

(95.20, 99.59)

OPV0

7505

289

7794

96.3%

(94.17, 98.54)

DPT/HepB/Hib 1

7466

311

7777

96.0%

(93.83, 98.20)

OPV1

7434

338

7772

95.7%

(93.52, 97.88)

DPT/HepB/Hib 2

7336

425

7761

94.5%

(92.37, 96.71)

OPV2

7274

477

7751

93.8%

(91.70, 96.03)

DPT/HepB/Hib 3

7195

546

7741

92.9%

(90.84, 95.16)

OPV3

7126

608

7734

92.1%

(90.03, 94.32)

All OPVa

7031

778

7809

90.0%

(88.07, 92.30)

All DPT/HepB/Hiba

7145

640

7785

91.8%

(89.72, 93.99)

Measles

6509

1093

7602

85.6%

(83.55, 87.73)

BCG Bacille-Calmette Guerin, OPV Oral Polio Vaccine, DPT/HepB/Hib Diphteria Pertussis Tetanus/Hepatitis B/Haemophinlus influenzae type b

a All OPV or All DPT/HepB/Hib, refers to all doses of the vaccine having been correctly registered. It is lower than the last dose due to absence/incorrect documentation of some of the previous doses

b Only eligible children (those who should have received a vaccine according to their age at the time of the visit and whose health card was assessed, readable and without missing dates) were included in this column

Figure 2
Fig. 2

Vaccination coverage among less than 36-month old children in the district of Manhiça (2011-2014)

The multivariable logistic regression model revealed that children born in the municipality of Maluana had 89% higher odds of not receiving the vaccine compared to those born in central Manhiça (OR = 1.89, 95% CI: 1.18-3.00). Mothers’ marital status (divorced or not living with a male companion vs married or living with a male companion) showed a weak association with lack of vaccination: OR = 1.66 95% CI: 0.81-3.37) (Table 3). No other factors were associated with lack of BCG vaccination.
Table 3

Analysis of factors associated to lack of BCG vaccination

Variable

Number of children lacking BCG according to card

Total number of children with BCG informatio in the card

Bivariate analysis

Multivariable analysis

OR (95%CI)

p-value

OR (95%CI)

p-value

Sex

 Male

101 (2.6)

3932

1.0

   

 Female

102 (2.6)

3882

1.02 (0.77-1.35)

0.926

  

Number of siblings

 None

0 (0)

9

   

 1 to 2

11 (1.3)

844

0.67 (0.31-1.44)

   

 3 or above

17 (1.9)

880

1.00

0.305

  

Season of birth

 Rainy

108 (2.5)

4288

1.00

   

 Dry

96 (2.7)

3529

1.09 (0.82-1.44)

0.578

  

Wealth Index

 1st Quintile

42 (3.2)

1312

1.00

   

 2nd Quintile

38 (2.6)

1478

0.82 (0.52-1.28)

   

 3rd Quintile

41 (2.8)

1450

0.90 (0.58-1.40)

   

 4th Quintile

28 (1.9)

1451

0.61 (0.37-0.99)

   

 5th Quintile

38 (2.7)

1418

0.85 (0.54-1.33)

0.325

  

Administrative Post

 Manhiça Sede

37 (2.2)

1690

1.00

 

1.00

 

 3 de Fevereiro

34 (2.2)

1582

0.98 (0.61-1.57)

 

0.79 (0.45-1.39)

 

 Ilha Josina Machel

1 (0.7)

144

0.31 (0.04-2.29)

 

0.32 (0.04-2.39)

 

 Xinavane

57 (2.6)

2183

1.20 (0.79-1.82)

 

1.05 (0.59-1.89)

 

 Maluana

65 (3.9)

1671

1.78 (1.18-2.68)

 

1.89 (1.18-3.00)

 

 Calanga

10 (1.8)

547

0.83 (0.41-1.68)

0.007

0.47 (0.14-1.54)

0.003

Antenatal Visits

 1 to 2

3 (1.7)

168

1.00

   

 3 or above

25 (1.6)

1565

0.89 (0.37-2.98)

0.854

  

Place of delivery

 Health centre

28 (1.7)

1655

1.00

   

 Home/way to hospital

0 (0)

77

  

Type of delivery

 Natural

26 (1.6)

1645

1.00

   

 C-Section

2 (2.3)

88

1.44 (0.34-6.2)

0.618

  

Mother’s marital status

 Single

12 (2.4)

510

1.00

 

1.00

 

 Married/Union

84 (2.2)

3868

0.92 (0.49-1.70)

 

0.99 (0.53-1.82)

 

 Divorced/Separated

23 (3.6)

631

1.57 (0.77-3.19)

0.083

1.66 (0.81-3.37)

0.092

Mother’s education

 No education

52 (2.5)

2089

1.00

   

 Primary

54 (2.4)

2284

0.95 (0.64-1.39)

   

 Secondary or higher

11 (2.3)

485

0.91 (0.47-1.75)

0.943

  

Mother’s religion

 Christian

48 (2.3)

2104

1.00

   

 Muslim

1 (2.5)

40

1.09 (0.15-8.16)

   

 Traditional African

53 (2.5)

2158

1.07 (0.73-1.60)

0.902

  

 Others

8 (1.8)

428

0.82 (0.38-1.74)

   

Distance to health centre

 Less than 5 km

17 (1.7)

983

1.00

   

 More than 5 km

88 (2.2)

3961

1.27 (0.75-2.15)

0.339

  

Scar assessment

From the 9512 adults who responded to the interview, irrespective of whether they presented the national health card or not, 8298 children could be directly observed for the presence of BCG-compatible scar. Coverage was 99.0% and 97.9% among children with and without a health card respectively. Therefore, when children are vaccinated with BCG (according to the health card), failure to develop the typical scar would occur in less than 1% in this population. We did not find any statistically significant association with lack of BCG scar. There were 174 children who were not BCG vaccinated according to the card, but 144 of them presented a BCG-compatible scar (82.8%).

Timeliness of BCG

Figure 3 represents the distribution of BCG vaccines administered to children starting from the day of birth onwards. The results indicate that 93.4% of vaccinated children received BCG within the first 28 days of life. The factors associated with the administration of BCG in the first 28 days of life are described in Table 4. The only factor associated with a timely BCG administration is not being born by a cesarean section (for which OR = 0.40, p-value 0.021). In other words, children born through a cesarean section are 60% less likely to have an adequate administration of BCG vaccine.
Figure 3
Fig. 3

Timeliness of BCG administration

Table 4

Analysis of factors associated to a adequate timeliness of BCG administration (within 28 first days of life) according to health card

Variable

Timely BCG vaccinated (%)

Total children with BCG

Bivariate analysis

Multivariable analysis

OR (95%CI)

p-value

OR (95%CI)

p-value

Sex

 Male

3449 (93.4)

3691

1.00

   

 Female

3399 (93.3)

3642

0.98 (0.82-1.18)

0.842

  

Number of siblings

 None

9 (100)

9

1.00

   

 1 to 2

750 (95.4)

786

1.25 (0.80-1.95)

   

 3 or above

769 (94.4)

815

1.00

0.335

  

Season of birth

 Rainy

3743 (93.3)

4012

1.00

   

 Dry

3108 (93.5)

3324

1.03 (0.86-1.24)

0.723

  

Wealth Index

 1st Quintile

1136 (93.3)

1218

1.00

   

 2nd Quintile

1289 (93.5)

1378

1.05 (0.77-1.42)

   

 3rd Quintile

1265 (93.1)

1359

0.97 (0.71-1.32)

   

 4th Quintile

1278 (93.9)

1361

1.11 (0.81-1.52)

   

 5th Quintile

1260 (94.3)

1336

1.19 (0.86-1.65)

0.704

  

Administrative Post

 Manhiça Sede

1496 (94.6)

1582

1.00

   

 3 de Fevereiro

1364 (93.0)

1466

0.77 (0.57-1.03)

   

 Ilha Josina Machel

123 (94.6)

130

1.01 (0.46-2.23)

   

 Xinavane

1941 (93.5)

2077

0.82 (0.62-1.08)

   

 Maluana

1431 (91.7)

1560

0.64 (0.48-0.85)

   

 Calanga

496 (95.2)

521

1.14 (0.72-1.80)

0.018

  

Antenatal Visits

 1 to 2

148 (95.5)

155

1.00

   

 3 or above

1380 (94.8)

1455

0.87 (0.39-1.92)

0.731

  

Place of delivery

 Health centre

1458 (95.0)

1535

1.00

   

 Home/way to hospital

69 (93.2)

74

0.73 (0.29-1.86)

0.507

  

Type of delivery

 Natural

1453 (95.2)

1527

1.00

 

1.00

 

 C-Section

75 (90.4)

83

0.48 (0.22-1.03)

0.058

0.40 (0.18-0.87)

0.021

Mother’s marital status

 Single

424 (90.0)

471

1.00

 

1.00

 

 Married/Union

3421 (93.8)

3649

1.66 (1.19-2.31)

 

1.50 (0.76-2.94)

 

 Divorced/Separated

544 (94.4)

576

1.88 (1.18-3.00)

0.006

1.50 (0.56-4.00)

0.490

Mother’s education

 No education

1836 (93.1)

1973

1.00

   

 Primary

1994 (93.6)

2131

1.09 (0.85-1.39)

   

 Secondary or higher

430 (74.7)

576

1.33 (0.86-2.09)

0.421

  

Mother’s religion

 Christian

1834 (93.4)

1964

1.00

   

 Muslim

35 (89.7)

39

0.62 (0.22-1.77)

   

 Traditional African

1907 (94.2)

2025

1.15 (0.89-1.48)

   

 Others

376 (93.3)

403

0.99 (0.64-1.52)

0.528

  

Distance to health centre

 Less than 5 km

61 (72.6)

84

1.00

 

1.00

 

 More than 5 km

205 (5.9)

3495

1.24 (0.92-1.66)

0.161

1.48 (0.90-2.44)

0.118

Discussion

Main findings

This study provides population estimates of BCG administration by two different methods in a large cohort of children. It shows that vaccine coverage in Manhiça district was very high for all vaccines administered in the first year of life, surpassing the international targets for EPI vaccine coverage. This finding is in line with results presented from similar studies about EPI vaccine coverage in Mozambique [29].

This is the first vaccination coverage study in the country using data collected by a HDSS. This preliminary information could be very relevant for future vaccine trials and a proxy for other health interventions. It is also important to highlight the importance of data registries in LMIC to monitor health systems’ performance, resource allocation planning and progress in immunization strategies. These findings call for an improved system to collect information to be used for assessing vaccine coverage, and which could hopefully be used to compare across different countries.

In the period from 2011 to 2014, BCG coverage was 97.4%, higher than the estimation of 86.3% in Maringue District, Sofala Province (centre Mozambique) [12] and the nationwide 94% estimation by WHO [28]. The results of high coverage could be explained because of the likely better health infrastructure in the district than national standards, which include two referral hospitals plus the existence of a research centre (the CISM, which conducts operational and translational research). The latter, conducts at least one visit per year to each household for the purpose of HDSS work rounds of data collection in the district, which could potentially affect vaccination-seeking behaviour in the community. However, selection bias might have occurred since there is a proportion of subjects who fail to provide a health card. Although the main stated reason was that the caregivers could not find the card, if those who did not find the card had lower vaccine coverage, our estimates might represent a slight overestimation of the true coverage. An extra source of potential selection bias is that those born in that period who died before the HDSS census rounds might have had lower BCG coverage. However, the effect of this bias, albeit unknown, could be limited, since those with and without vaccination card had similar coverages measured by the presence of scar.

We found no statistically significant associations with lack of BCG vaccination, except living in the municipality of Maluana. These findings might be explained by the small number of non-vaccinated individuals (random error) or other social factors that will require qualitative approaches in order to be identified.

Very few BCG vaccinated children (according to their health cards) in the district of Manhiça fail to develop the scar. These results are comparable with findings of scar failure in other countries, ranging from 1 to 20% [13, 38, 39]. Potential observer bias could have taken place, since field workers were not blind to the child heath card information. Nonetheless, the proportion of scar formation in children with and without health card was similar to that of BCG vaccinated infants. If these findings were a true overestimation, the reason behind could be a systematic poor evaluation of the presence of BCG scar. Conversely, the fact that many children with no record of BCG in their card presented BCG scar could lead to a potential underestimation of coverage estimates based solely on immunization card. This could be due to bad documentation of BCG vaccination in the immunization card (or cases where the card was lost and replaced, and information could not be updated). Unfortunately these potential explanations cannot be verified.

Recent studies showing scar beneficial effects, such as lower mortality in infants with scar [5, 11], have opened the debate about re-vaccination [5, 40] among those failing to develop a scar. Some have suggested that scarring could be a method to monitor vaccination performance in resource-poor settings. On the other hand, BCG is not recommended in HIV suspected cases and HIV-related immunosuppression may play a role in scar response. In a high HIV burden country such as Mozambique, where most children are BCG vaccinated regardless of their HIV status, we expected a lower scar formation rate.

The timing of vaccination is very important in order to reach the maximum protection, but also for being a proxy of non-adherence and reduce of vaccination. [16, 17, 20, 22]. In order to measure if BCG was appropriately administered, we consider a timely vaccination if it occurred within the 28 days of life, as recommended by WHO [19]. The results show a low proportion of delayed BCG vaccination (6.6%), compared to 33% found in Tanzanian the year 2004 [15]. However, the definition of delayed BCG vaccination differs from author to author, [19] some consider it happens only after 8 weeks or even after 56 days [17] after birth, thus comparability with other studies needs to be cautious. The only factor associated with timely BCG vaccination was being delivered through a caesarean section. It is closely related with being born in a health facility, with a skilled birth attendant, where they will have the BCG vaccine ready to be administered after birth.

This study had several limitations. First, selection bias could have occured since we could only visit children whose adults were present at the moment of the interview and presented the card (for evaluation of the registration) and/or the children were present (for scar assessment). There were 16.9% (1609/9512) of children who did not present a health card. Although most of them argued that adults had lost the card, these children might live in families with more difficulties in accessing the health system or not able to have a proper follow-up of their children’s health status, thus our vaccination coverage could be overestimating the real one. Secondly, children who died before the first round visit were not included and might have different (potentially lower) vaccine coverage. Thirdly, given the discrepancies found about BCG vaccination assessed through health card and presence of scar, poor BCG documentation in the card or poor evaluation of BCG scar, cannot be ruled out. Last, due to the low number of non-vaccinated individuals identified, the study had little power to detect potential factors associated with absence of vaccination.

Conclusions

This study shows high vaccination coverage in Manhiça district; although vaccines that need several doses or that are administered months after birth require larger efforts to ensure all children are properly and completely vaccinated. The vast majority of BCG vaccines are given within the first days after birth. Scar development occurs in almost all infants. No associations with lack of BCG were found, except for living in the municipality of Maluana. These findings require targeted investigations to find out potential reasons for that difference in coverage that might benefit from tailored interventions. Prospective data collection at the time of vaccination would avoid potential bias inherent to retrospective data collection. This research study, beyond high coverage of BCG and other EPI vaccines, shows the importance of having data registries in LMIC to monitor health systems’ performance, resource allocation planning and progress in immunization strategies.

Abbreviations

AIDS: 

Acquired immune deficiency syndrome

BCG: 

Bacille Calmette-Guérin

CI: 

Confidence interval

CISM: 

Centro de Investigação em Saúde de Manhiça

DPT/HepB/hib: 

Diphtheria Pertussis Tetanus/Hepatitis B/Haemophilus influenza type b (pentavalent vaccine)

DSS: 

Demographic surveillance system

EPI: 

Expanded programme on immunization

HDSS: 

Health and demographic surveillance system

HIV: 

Human immunodeficiency virus

LIC: 

Low income Countries

LMIC: 

Low and middle income Countries

OPV: 

Oral polio vaccine

OR: 

Odds ratio

TB: 

Tuberculosis

TST: 

Tuberculin skin test

WHO: 

World Health Organization

Declarations

Acknowledgements

This analysis is the outcome of EMC’s end of Masters’ project at MSc Clinical Research (International Health track). The authors of this study would like to thank all the families in the district of Manhiça. We also want to thank the staff at CISM’s Demography department for their support in data collection. We thank the National Tuberculosis Program staff and District Health Authorities for their constant support. This work was been partially supported by the Erasmus Mundus Joint Doctorate Program of the European Union through a training grant to ALGB. ISGlobal is a member of the CERCA Programme, Generalitat de Catalunya.

Funding

No external funding was needed for this study.

Availability of data and materials

An anonymized dataset can be made available to interested researchers after a formal request to CISM’s Internal Scientific Committee (cci@manhica.net).

Authors’ contributions

ALGB, CS conceived the study. AN, EJ, CS, participated in data collection. JJA and OJA participated in data management and design of forms for data collection. EMC, AN, CS, ALGB conducted the analysis. AC provided statistical support. EMC, EM, BS, QB, ELV, ALGB, ELV contributed to data interpretation. ALGB, BS, EM provided direction throughout the research process. All authors have been involved in drafting the manuscript. All authors approved the last version as sent to the journal.

Ethics approval and consent to participate

This study was approved by the Centro de Investigação em Saúde de Manhiça’s (CISM, from its acronym in Portuguese) Internal Scientific Committee. Heads of households in the area under demographic surveillance provide a written informed consent allowing to use data collected by the HDSS for research purposes. The study was conducted following the principles of the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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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.

Authors’ Affiliations

(1)
ISGlobal, Barcelona Ctr. Int. Health Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain
(2)
Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique
(3)
ICREA, Pg. Lluís Companys 23, Barcelona, Spain
(4)
Amsterdam Institute for Global Health and Development (AIGHD), Amsterdam, The Netherlands

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Copyright

© The Author(s). 2018

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