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Erschienen in: BMC Infectious Diseases 1/2017

Open Access 01.12.2017 | Research article

The global effect of maternal education on complete childhood vaccination: a systematic review and meta-analysis

verfasst von: Jennifer Forshaw, Sarah M. Gerver, Moneet Gill, Emily Cooper, Logan Manikam, Helen Ward

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2017

Abstract

Background

There is an established correlation between maternal education and reduction in childhood mortality. One proposed link is that an increase in maternal education will lead to an increase in health care access and vaccine uptake. Vaccinations are a central preventative child health tool, therefore demonstrating the importance of understanding factors that can improve coverage. This review aims to establish if there is a correlation between increasing maternal education and vaccine uptake and if this varies between continents, setting and time.

Methods

An electronic database search was conducted using Medline Ovid, Embase and The Cochrane Library using a combination of keywords and appropriate MeSH terms for maternal education and child vaccination. Bibliographies were also hand searched. Data was extracted and entered onto a Microsoft Excel spreadsheet and analysed using STATA 13.0 software. The primary outcome of effect size of maternal education on completion of childhood vaccinations was analysed at different levels. Secondary outcomes were explored using subgroup analyses of differences between continents, rural or urban settings, and dates.

Results

The online search yielded 3430 papers, 37 were included in this study. The analysis showed increasing child vaccination uptake with increasing maternal education. Overall, analysis showed that the odds of full childhood vaccination were 2.3 times greater in children whose mother received secondary or higher education when compared to children whose mother had no education. There was large variability in the effect size between the studies included.

Conclusions

Improving maternal education is important for increasing childhood vaccination uptake and coverage. Further research is needed in higher income countries.

Trial registration

PROSPERO Registration No: CRD42016042409.

Background

Despite the fact more children than ever are being vaccinated, millions of children each year fail to receive the complete routine immunization schedule [1]. Although the reason for this is likely multifactorial, it has been demonstrated that there is an association between maternal education and vaccination uptake [2, 3].
Childhood vaccinations are imperative for decreasing childhood mortality [1]. For this reason, global initiatives such as the Expanded Program on Immunization (EPI) and the Global Alliance for Vaccine and Immunization (GAVI) have been put in place, outlining essential vaccinations and reinforcing their uptake [46]. Despite this, it is estimated that 1.5 million children under 5 years die from vaccine-preventable diseases annually [7]. Although literature has shown low caregiver education to be a common variable for under or non-immunization of children, there is no research to confirm whether it is a consistent finding and the overall effect size has not been established [2, 3, 8].
The main aim of this study was to establish the global effect of maternal education on childhood vaccination in those under 12 years by quantifying the association between increasing maternal education and vaccine coverage in children, and assessing the variation in effect of maternal education by continent, setting, and over time.

Methods

Protocol, eligibility criteria, information sources and search

Medline, Embase, and the Cochrane Library were electronically searched on the 29th June 2016 using a combination of keywords and MeSH terms describing maternal education and child vaccination uptake. The search was restricted to English language and limited to those published between 1990 and 2016.

Study selection, data collection and data items

Observational studies of mothers with children under 12 years were included. Studies had an exposure variable of maternal education which is cross comparable such as “level of schooling achieved” or “literate versus illiterate” with a comparison group within the article.
The primary outcome assessed was completion of the full national or EPI schedule. Secondary outcomes were difference between continents, settings and dates.
Studies were subject to the following exclusion criteria: vaccine uptake not presented as raw, unadjusted data; unable to access the full text; review or narrative design; random control trials; case control trials not proportionate to the total population; studies where the exposure was another variable but maternal education was adjusted for in the analysis; studies with the outcome of specific vaccines, receipt of any vaccine, or vaccines not in the EPI.
Two authors (JF and MG, or EC and MG) independently screened all the titles. Abstracts were reviewed of potentially relevant articles, and full texts were retrieved to ascertain whether the inclusion criteria were fully met. Discrepancies were discussed until a consensus was reached. Data was extracted from included papers regarding study characteristics, including publication information (author and year), study country, setting, design, period, population total, children’s age, maternal education parameter and vaccine types. The number of children per maternal education level, the number of children fully vaccinated per maternal education level, and the percentage of children fully vaccinated per maternal education level were extracted for data analysis.
When the paper presented more than one set of results, for example different years, locations or age-groups, the paper was split into alphabetically ordered groups. For the 2 cohort studies included, the oldest age followed in the study was used (7 months old).

Risk of bias

Papers were assessed for quality and risk of bias using an adapted version of the certified “Quality Assessment Tool for Quantitative Studies” by the Effective Public Health Practice Project (EPHPP) [911]. Each study was assessed according to the representativeness of the sample, study design, controlling of confounders, blinding of exposure for cohort studies, data collection measurements, and reporting of withdrawals and drop outs for cohort studies. The articles were given a global rating of strong, moderate or weak. All studies were kept in regardless of quality due to the small number of studies available and recognition of the limitations of the scoring systems [10, 12].

Summary measures and synthesis of results

For the meta-analysis the maternal education variables were collapsed into a binary categorical variable (“none/primary” and “secondary/higher”). In papers where there were only two categories for maternal education level and the level of education and the type of schooling received was not clear, i.e. “illiterate versus literate”, “not educated versus educated”, the educated variable was classified as “none/primary” as the level of education was not stated. For the six studies that divided papers into the categories “literate” and “illiterate” a separate meta-analysis was conducted for comparison. This is because the quality of education within countries can be highly varied, meaning we cannot conclude that a primary level education will result in maternal literacy [13]. Papers were excluded from the meta-analysis if the lowest level of education category included were “primary / secondary,” “<high school,” or “<12 years.”
A pooled odds ratio, using the collapsed categories from each included paper, was calculated using a DerSimonian-Laird [14] random effects model, as large heterogeneity was anticipated considering the differences in study characteristics, such as varied populations, healthcare, settings and education systems. The analysis was performed in Stata version 13.0 [15].
Sub-group analysis was also conducted for continent, setting, and for date the study was conducted. For the setting sub-group analysis, studies which were performed at a national or regional level were removed. In the date sub-group analysis, the data set was divided into two groups based upon the year that the studies were conducted, before and after 2000 to coincide with the release of the Millennium Development Goals.
All of the extracted papers were included into the pooled estimate analysis. The maternal education levels quoted in the papers were categorised into none, primary, secondary or tertiary to get an overall percentage of children fully vaccinated for each level.
Where dichotomous variables were stated, the lowest level was taken as this was the minimum amount the woman had received. Variables of “can read and write”, “literate” and “mother educated” were categorised as primary as these skills can be achieved from primary school level. Where the paper included a variable with “less than”, the country setting was taken into consideration due to variations in levels of mandatory education between countries.
Forest plots were created for the overall analyses and for each of the stratified analyses. These showed the individual study odds ratios and 95% Confidence Intervals, the DerSimmonian-Laired pooled estimate and the I2-value for heterogeneity.

Publication bias

A scatter plot of number of children included in the studies against the prevalence of fully vaccinated children was created using STATA to assess for publication bias of the included papers.

Results

Study selection

The online search yielded 3430 results. Titles and abstracts were screened and duplicates or irrelevant articles were removed. In total, 218 full texts were retrieved and screened, with 37 articles being included in this review. Reasons for exclusion are outlined in Fig. 1, with the main reason being a lack of raw data.
Four papers were excluded from the meta-analysis as the lowest level of education was higher than primary.

Study range and characteristics

Of the 37 included papers, 35 were cross-sectional studies, the remaining 2 were cohort studies. All of the data from the studies was conducted between 1989 and 2013. India had eight studies, which is the greatest total number of studies per country. When assessing by continent, 18 were undertaken in Africa, 12 in Asia, three in Europe, three in North America and one in South America. This showed a dominance of research in lower income countries. The majority of the studies were regional or national, but six studies were set in urban areas, five in rural and one study compared both. Many were population based studies, and two were conducted in a hospital setting.
Full details of the included articles are presented in Table 1 showing the characteristics of the papers included and the quality of the studies that were compared. The majority (26 studies) were of moderate quality, with only one found to be of strong quality. Ten studies scored a global score of weak but were still included in the analysis due to the small number of studies available. Most of the studies were well conducted, but their cross-sectional study design meant the global score was brought down. The sample size ranged from 220 households (with 110 children) to 21,212 children in a cross-sectional American study. The total number of children was 112,841, with a mean of 836 children and median of 190 children per study (calculated from Table 2). Of the 33 included in the meta-analysis, the total number of children was 92,192, with a mean of 2794 and a median of 693. The age range was from birth to seven years, with the majority of studies using 12–23 months as the objective population due to the EPI schedule targeting this age group [16]. The papers using demographic health survey (DHS) data were conducted on women aged 15–49 years old. On most other papers, this was not specified.
Table 1
Study characteristics
Reference
Country
Study setting
Study design
Study period
Population
Children’s age
Vaccine type
Maternal education parameter
Quality
Al-Sheikh et al. 1999a [17]
Iraq
Urban
Cross-sectional
1989–1994
341 families (186 urban), 662 children (326 urban)
0–2 years
BCG, DPT-OPV(3), measles, MMR, DPT-OPV(1st booster)
Illiterate; Reads and writes; Primary; Intermediate; Secondary;
Institute; College; Postgraduate
Weak
Al-Sheikh et al. 1999b [17]
Iraq
Rural
Cross-sectional
1989–1994
341 families (155 rural), 662 children (336 rural)
0–2 years
Completion of BCG, DPT-OPV(3), measles, MMR, DPT-OPV(1st booster)
Illiterate; Reads and writes; Primary; Intermediate; Secondary;
Institute; College; Postgraduate
Animaw et al., 2014 [24]
Ethiopia
Region
Cross-sectional
March 2013
630 children
12–23 months
1 dose BCG, 3 doses Polio, 3 doses Pentavalant, 3 doses PCV, 1 dose Measles
None; Primary school; High school
Moderate
Antai 2009 [4]
Nigeria
National
Cross-sectional
2003
Interviews from 3725 women aged 15 to 49 years with 6029 live born children
12 months and older
BCG, Polio (3), DPT (3)
and Measles vaccinations
No education; Primary; Secondary or higher
Moderate
Antai 2012 [20]
Nigeria
National
Cross-sectional
2008
24,910 women aged
15–49 years with live-born children within 5 years before the survey
12 months to 5 years
8 childhood vaccinations in the EPI – BCG, DPT 3 doses, OPV 3 doses, and measles vaccine
No education; Primary school; Secondary school or higher
Moderate
Bbaale et al. 2013 [25]
Uganda
National
Cross-sectional
2006
7591 children
12–36 months
Full vaccination, BCG, DPT, Polio, Measles vaccinations
None, primary, secondary, post-secondary
Moderate
Branco et al. 2014 [26]
Brazil
Urban
Cross-sectional
January 2010
282 children
12–59 months
1 dose BCG, 3 doses Hep B, 3 doses DTP-Hib, 3 doses OPV, 2 doses Rotavirus, 1 dose Yellow fever, 1 dose MMR
0–8 years of schooling; >8 years of schooling
Moderate
Brenner et al. 2001 [27]
USA
Urban
Cohort
August 1995 to September 1996
369 singleton births from 3 hospitals from low-income, inner-city patients
Cohort followed until 7 months
UTD at 7 months if had received 3 DTP, 3 HIB, and 2 polio vaccinations
<12 years; ≥12 years
Strong
Calhoun et al. 2014 [28]
Kenya
Region
Cross-sectional
June–July 2003
244 children
12–23 months
3 doses Polio, 1 dose BCG, 1 dose Measles, 3 doses DPT or pentavalent
Years of schooling: 0–8, 8 or more
Moderate
Chhabra et al. 2007 [29]
India
Urban
Cross-sectional
October 2003 to January 2004
693 children
24–47 months
BCG, DPT and OPV (3 primary and booster), measles and MMR
Nil; 1–8 years; >8 years
Moderate
Danis et al. 2010 [18]
Greece
National
Cross-sectional
Academic year
2004–2005
3609 parent/ guardian-child pairs
3434 pairs in the final analysis.
Children in first year of Greek grammar school
6–7 years (Mean age 6.76 years)
5 doses of DTP vaccine, 5 doses of poliomyelitis vaccine, 2 doses of MMR vaccine, 3 doses of HBV vaccine and full vaccination for Hib
<9 years; 9–11 years; 12 years (high school); College/ university graduate
Moderate
Elliott et al. 2006a [30]
India
Rural
Cross-sectional
September 2003
470 families
9 months
BCG, OPV (4), DPT (3) and measles
Illiterate; Literate
Weak
Elliott et al. 2006b [30]
India
Rural
Cross-sectional
September 2003
470 families
18 months
BCG, OPV (5), DPT (4) and measles
Illiterate; Literate
Elliott et al. 2006c [30]
India
Rural
Cross-sectional
September 2003
470 families
6 years
BCG, OPV (5), DPT (4), measles and DT
Illiterate; Literate
Fatiregun et al. 2012 [31]
Nigeria
Region
Cross-sectional
2007
540 interviews, 525
respondents
mothers of children
12–23 months
BCG, dose of measles, three doses (1,2,3) of DPT, four doses (0–3) of OPV
Primary/ secondary; Post secondary
Moderate
Fatiregun et al. 2013 [32]
Nigeria
Region
Cross-sectional
2006
1178 mothers
12–23 months
BCG, 4 doses OPV, 3 doses DPT, 3 doses Hetaptitis B
Tertiary education; Secondary education; Primary education; None
Moderate
Huq et al. 2008 [33]
Bangladesh
National
Cross-sectional
1999–2000
755 children
12–23 months
BCG and measles vaccinations and all 3 doses of the DPT and polio vaccines
Below primary; Secondary; Higher secondary
Moderate
Jahn et al. 2008 [34]
Malawi
Rural
Cross-sectional
21st August 2002 to 22nd July 2004
5418 children
Under 5 years old
BCG, OPV3, DPT3 and measles vaccine before their 1st birthday
<5 years primary; Primary 5 + years; Sec./tert.
Moderate
Kidane et al. 2003 [35]
Ethiopia
Region
Cross-sectional
2000
220 households
12–23 months
BCG, measles, 3 doses of DPT/OPV
Illiterate; Literate
Weak
Koumaré et al. 2009 [36]
Mali
Region
Cross-sectional
July 2006
750 children
12–23 months
BCG, DTCP1, DTCP2, and DTCP3 and measles
Mother not educated; Mother educated
Weak
Kumar et al. 2010 [37]
India
Hospital/
Urban
Cross-sectional
April to July 2007
325 children (148 males, 177 females) admitted to paediatrics ward at a tertiary care hospital
12–60 months
BCG, 3 doses of DPT/OPV and measles
≤primary; >primary
Weak
Luman et al. 2003 [38]
USA
National
Cross-sectional
July 2000– June 2001
21,212 children
19 to 35 months
4 doses of DPT vaccine, 3 doses of poliovirus vaccine, 1 dose of MMR vaccine, 3 or 4 doses of Hib vaccine, and 3 doses of HBV vaccine (the 4:3:1:3:3 series).
<High school; High school; >High school; College graduate
Moderate
Mohamud et al. 2014 [39]
Ethiopia
Region
Cross-sectional
10 April 2011–5 May 2011
582 households
12–23 months
1 dose BCG, 1 dose Measles, 3 doses pent/OPV before 1 year of age
Illiterate; Literate
Moderate
Odusanya et al. 2008 [40]
Nigeria
Rural
Cross-sectional
September 2006
339 mothers and children
12–23 months
BCG, 3 doses of OPV & DTP, 3 doses of HBV and measles vaccine
None/ primary; Secondary/ university
Moderate
Okoro et al. 2014 [41]
Nigeria
Region
Cross-sectional
May to December
168 children
6 months – 5 years
Full schedule (not specified)
No formal education; Primary; Secondary; Post-secondary; University
Moderate
Pati et al. 2011 [42]
USA
Urban
Cohort
June 15th 2005
to August 6th 2006
506 Medicaid-eligible mother-infant dyads
Cohort followed until 7 months
UTD at 7 months if received 3 HepB, 2 polio, at least 2 Hib, 3 PCV7
and 3 DTaP containing vaccines
Less than high school; High school; More than high school
Moderate
Phukan et al. 2008 [43]
India
Region
Cross-sectional
June and July 2003
616 children
12–23 months
6 EPI vaccines in time
Illiterate; Primary; Middle; Higher
Weak
Robert et al. 2014a [44]
Belgium
Region
Cross-sectional
2012
519 children
18–24 months
Hexavalent, pneumococcal, MMR, meningococcal C
Maximum secondary level; Higher than secondary level
Moderate
Robert et al. 2014b [44]
Belgium
Region
Cross-sectional
2012
538 children
18–24 months
Hexavalent, pneumococcal, MMR, meningococcal C
Maximum secondary level; Higher than secondary level
Rossi et al. 2015 [45]
Zimbabwe
National
Cross-sectional
2010–2011
1031 children
12–23 months
1 dose BCG, 1 dose Measles, 3 doses of Polio, 3 doses DPT/Pentavalent
No education or primary; Secondary or higher
Moderate
Schoeps et al. 2013 [46]
Burkina Faso
Region
Cross-sectional
September 2008 – December 2009
1665 children
12–23 months
BCG, Oral Polio, Pentavalent, yellow fever, measles
Any; None
Moderate
Setse et al. 2006 [47]
Zambia
Hospital/
Urban
Cross-sectional
January 1998 and October 2000
473 children hospitalised with measles- 372 in subgroup analysis
4 and 60 months
BCG and completed the series of DTP and OPV vaccines.
Less than 7 years; 7 years; Greater than 7 years
Moderate
Sia et al. 2009 [5]
Burkina Faso
Rural
Cross-sectional
1998
805 children
12–23 months
BCG, measles, yellow fever vaccines and 3 doses of DTP and OPV
No schooling; Primary or secondary school
Moderate
Singh et al. 2000 [48]
India
National
Cross-sectional
June–October 1999
18,783 children
12–23 months
BCG, DPT, OPV, Measles
Illiterate; Primary; Middle; Higher secondary; Graduate
Weak
Singh et al. 2001 [49]
India
Region
Cross-sectional
June–October 1999
6171 children
12–32 months
BCG, DPT, OPV, Measles
Illiterate; Primary
Middle; Higher secondary; Graduate
Weak
Som et al. 2010 [50]
India
Region
Cross-sectional
2002 to 2004
1279 children
12–35 months
BCG, 3 injections of DPT, 3 doses of polio (excluding polio 0) and 1 of measles
Can’t read and write; Can read and write
Moderate
Streatfield et al. 1990 [51]
Indonesia
Rural
Cross-sectional
1989
519 mother-child dyads
Under the age of 5 years
DPT, BCG, and anti-polio
Not literate; Some primary; Complete primary; Secondary school
Weak
Thang et al. 2007 [52]
Vietnam
National
Cross-sectional
2002
468 children
11–23 months
BCG vaccination 3 doses of DPT vaccine; at least 3 doses of polio vaccine; and 1 dose of measles vaccine
Illiterate; Lower primary; Completed primary; Completed secondary; Completed high school +
Moderate
Torun et al. 2006 [53]
Turkey
Region
Cross-sectional
2005
Parents of 221 children
9 month-6 years of age
<18 months completely vaccinated if had 1 dose of BCG, 3 doses of HBV, OPV and DPT and 1 dose of Measles vaccine. >18 months completely vaccinated if had booster doses for OPV and DPT vaccines
Illiterate; Graduated primary school; Graduated secondary school or higher education
Moderate
Waters et al. 2004a [54]
Cameroon
National
Cross-sectional
1998
2123 children
Younger than 3 years
By 6 weeks- 1st dose of DPT and the 2nd dose of polio vaccine;
By 10 weeks- 2nd dose of DPT and the 3rd dose of polio vaccine;
By 14 weeks- 3rd DPT dose;
By 9 months- measles vaccine
Less than primary school; Primary school; Secondary education; Higher education
Moderate
Waters et al. 2004b [54]
Cameroon
National
Cross-sectional
2000
3582 children
Younger than 5 years
Less than primary school; Primary school
Secondary education or higher education
Yadav et al. 2004 [55]
India
Regional
Cross-sectional
June–October 1999
1481 children
12–23 months
BCG, DPT3, OPV3, Measles
Illiterate; Primary; Middle; Hr. Secondary;
Graduate
Weak
Abbreviations: UTD up to date, EPI Expanded Program on Immunization, OPV oral polio vaccine, BCG bacille Calmette-Guérin (tuberculosis) vaccine, DPT diphtheria, pertussis, tetanus vaccine, Hib haemophilus influenzae type b, HBV hepatitis B virus, MMR measles, mumps & rubella vaccine, DT diphtheria and tetanus, PCV7 pneumococcal conjugate vaccine (7-valent), DTaP diphtheria, tetanus and acellular pertussis vaccine, DTCP diphtheria, tetanus, pertussis, poliomyelitis vaccine
Table 2
Study results
Reference
Maternal education parameter
# children whose mothers had education level
# children who have received full vaccination schedule
% children who received full vaccination schedule
(1 d.p.)
cOR for vaccination (2 d.p.)
Al-Sheikh et al. 1999a [17]
Illiterate
27
22
81.5
1
Reads and writes
69
41
59.4
0.33
Primary
78
42
53.8
0.27
Intermediate
32
22
68.8
0.5
Secondary
53
29
54.7
0.27
Institute
43
27
62.8
0.38
College
23
12
52.2
0.25
Postgraduate
1
1
100
/
Al-Sheikh et al. 1999b [17]
Illiterate
143
34
23.8
1
Reads and writes
121
34
28.1
1.25
Primary
50
10
20
0.8
Intermediate
5
2
40
2.14
Secondary
7
5
71.4
8.01
Institute
6
4
66.7
6.41
College
4
4
100
/
Postgraduate
0
/
/
/
Animaw et al. 2014 [24]
None
262
150
57.3
1.00
Primary
252
211
83.8
3.84
High school
116
100
86.2
4.66
Antai 2009 [4]
No education
2155
169
7.8
1
Primary
805
142
17.6
2.52
Secondary or higher
771
194
25.2
3.95
Antai 2012 [20]
No education
12,265
722
5.9
1
Primary school
5724
1159
20.2
4.06
Secondary school or higher
6921
2402
34.7
8.50
Bbaale et al. 2013 [25]
No education
1824
967
53.0
1.00
Primary
4686
2484
53.0
1.00
Secondary
896
520
58.0
1.23
Post-secondary
185
117
63.2
1.52
Branco et al. 2014 [26]
0–8 years of schooling
151
116
76.8
1.00
>8 years of schooling
130
117
90
2.72
Brenner et al. 2001 [27]
<12 years
145
55a
38
1
≥12 years
179
77a
43
1.23
Calhoun et al. 2014 [28]
0–7 years of schooling
132
35
26.5
1.00
≥8 years of schooling
23
11
47.8
2.54
Chhabra et al. 2007 [29]
Nil
378b
130
34.4
1
1–8 years
106b
51
48.1
1.77
>8 years
209b
106
50.7
1.96
Danis et al. 2010 [18]
<9 years
536
278
51.9
1
9–11 years
429
240
55.9
1.18
12 years (high school)
1336
859
64.3
1.67
College/ university graduate
985
670
68
1.97
Elliott et al. 2006a [30]
Illiterate
332b
240
72.3
1
Literate
139b
123
88.5
2.95
Elliott et al. 2006b [30]
Illiterate
318b
210
66
1
Literate
127b
113
89
4.15
Elliott et al. 2006c [30]
Illiterate
139b
73
52.5
1
Literate
49b
35
71.4
2.26
Fatiregun et al. 2012 [31]
Primary/ secondary
297
76
25.6
1
Post secondary
228
94
41.2
2.04
Fatiregun et al. 2013 [32]
None
129
24
18.6
1.00
Primary
468
128
27.4
1.65
Secondary
523
225
43.0
3.30
Tertiary
58
51
87.9
31.88
Huq et al. 2008 [33]
Below primary
485
307a
63.3
1
Secondary
221
164a
74.2
1.67
Higher secondary
49
46a
93.9
8.92
Jahn et al. 2008 [34]
<5 years primary
237
140
59.1
1
Primary 5 + years
1364
903
66.2
1.36
Sec./tert.
304
233
76.6
2.27
Kidane et al. 2003 [35]
Illiterate
92
66
71.7
1
Literate
18
17
94.4
6.70
Koumaré et al. 2009 [36]
Mother not educated
639
376a
58.8
1
Mother educated
111
73a
65.8
1.35
Kumar et al. 2010 [37]
≤primary
223
12
5.4
1
>primary
92
46
50.0
17.58
Luman et al. 2003 [38]
<High school
3157
2147a
68.0
1
High school
7160
5191a
72.5
1.24
>High school
4375
3233a
73.9
1.33
College graduate
8698
6915a
79.5
1.82
Mohamud et al. 2014 [39]
Illiterate
510
167
32.7
1.00
Litterate
72
46
63.9
3.63
Odusanya et al. 2008 [40]
None/ primary
107
57
53.3
1
Secondary/ university
232
153
65.9
1.70
Okoro et al. 2014 [41]
No formal education
12
7
58.3
1.00
Primary
33
16
48.5
0.67
Secondary
55
36
65.5
1.35
Post-secondary
28
24
85.7
4.29
University
40
32
80.0
2.86
Pati et al. 2011 [42]
Less than high school
159
63
39.6
1
High school
119
55
46.2
1.31
More than high school
228
101
44.3
1.21
Phukan et al. 2008 [43]
Illiterate
132
50
37.9
1
Primary
81
41
50.6
1.68
Middle
344
242
70.3
3.89
Higher
59
50
84.7
9.11
Robert et al. 2014a [44]
Maximum secondary level
293
237
80.8
1.00
Higher than secondary level
214
177
82.9
1.13
Robert et al. 2014b [44]
Maximum secondary level
296
242
81.6
1.06
Higher than secondary level
233
197
84.4
1.29
Rossi et al. 2015 [45]
No education or primary
320
177
55.2
1.00
Secondary or higher
711
500
70.3
1.91
Schoeps et al. 2013 [46]
None
1435
250
17.4
1.00
Any
230
57
24.8
1.56
Setse et al. 2006 [47]
Less than 7 years
137
92a
67c
1
7 years
114
87a
76c
1.56
Greater than 7 years
121
105a
87c
3.30
Sia et al. 2009 [5]
No schooling
850
172a
20.2
1
Primary or secondary school
48
18a
37.5
2.37
Singh et al. 2000 [48]
Illiterate
7337
3404a
46.4
1
Primary
2946
1912a
64.9
2.14
Middle
3044
2143a
70.4
2.75
Higher secondary
3433
2705a
78.8
4.29
Graduate
2023
1705a
84.3
6.20
Singh et al. 2001 [49]
Illiterate
3421
1143a
33.4
1
Primary
900
496a
55.1
2.45
Middle
718
442a
61.5
3.19
Higher secondary
580
416a
71.8
5.08
Graduate
552
442a
80
7.98
Som et al. 2010 [50]
Can’t read and write
400
151a
37.8
1
Can read and write
879
538a
61.2
2.60
Streatfield et al. 1990 [51]
Not literate
78
35a
45.1
1
Some primary
129
40a
31.1
0.55
Complete primary
177
59a
33.6
0.62
Secondary school
81
44a
54.9
1.48
Thang et al. 2007 [52]
Illiterate
33
13a
39.5
1
Lower primary
74
37a
50
1.53
Completed primary
157
100a
63.5
2.66
Completed secondary
122
94a
77.4
5.25
Completed high school +
83
69 a
82.9
7.43
Torun et al. 2006 [53]
Illiterate
31b
15
48.4
1
Graduated primary school
157b
141
89.8
9.4
Graduated secondary school or higher education
33b
31
93.9
16.53
Waters et al. 2004a [54]
Less than primary school
438
105a
24
1
Primary school
603
235a
39
2.02
Secondary education
473
246a
52
3.43
Higher education
12
8a
67
6.43
Waters et al. 2004b [54]
Less than primary school
961
202a
21
1
Primary school
1137
387a
34
1.94
Secondary education or higher education
840
403a
48
3.47
Yadav et al. 2004 [55]
Illiterate
835d
407a
48.7
1
Primary
241
180a
74.8
3.13
Middle
190
142a
74.9
3.14
Hr. Secondary
119
93a
78.2
3.78
Graduate
96
77a
80.2
4.27
d.p. = decimal places
a Number of children fully vaccinated calculated using available data in the paper (i.e. % uptake x total number of children)
b Total number of children per maternal education level calculated from adding row total
c Reverse percentage calculated from data in paper (percentage incompletely vaccinated presented)
d Number of children with an illiterate mother calculated from deducting number in other levels from total population size
Maternal education levels varied between the study settings, with those set in higher income countries having higher baselines, potentially due to difference in schooling between countries. Dichotomous variables were used in 14 studies where the woman was classed as either literate or not, or above or below a set threshold.

Data extraction

The raw results show a general increase in vaccination completion with increasing maternal education within the separate papers (Table 2). The odd ratios between the highest and lowest education levels within the studies ranged from 0.25, showing a decrease in completion, to 31.88 showing hugely increased odds of the children being fully vaccinated if the mother was more educated than the baseline group. Only two studies showed decreased odds between lowest and highest education levels, with the rest all showing a positive trend. Percentage fully vaccinated also varied widely from 1.0% to 100% with an average of 55.9% having completed the immunisation schedule. These variations are further explored by the meta-analysis.

Meta-analysis

Overall, the meta-analysis showed that the odds of full childhood vaccination were 2.31 times (95% CI 1.90–2.79) greater in children whose mothers had received secondary or higher education when compared to those whose mothers had no education or primary level education (Fig. 2). Although all but four studies showed a positive effect of being highly educated, the effect size varied greatly between papers, with an overall I-squared value of 95.0% (p < 0.001), indicating a high level of heterogeneity.

Illiteracy vs. literacy

Figure 3 shows a separate meta-analysis of six studies which split mothers based upon whether they were literate or illiterate. It demonstrates full vaccination of children was more likely in mothers that were literate compared to illiterate, with an odds ratio of 2.87 (95% CI 2.39–3.46).

Continent

Subgroup analysis of continents (Fig. 4) showed the overall effect size is highest in Asia, where the odds of full childhood vaccination were 2.65 times (95% CI 2.08–3.37) greater if the mother was more educated. Only one result out of 11 was not statistically significant (Al-Sheikh et al. 1999a) [17].
The overall effect for Africa was increased odds of 2.34 (95% CI 1.69–3.24) for completion of childhood vaccination with higher maternal education. There were no statistically insignificant papers in this subgroup.
The overall effect was lower in the higher income continent of Europe, with increased odds of 1.47 (95% CI 1.14–1.89) for completion of childhood vaccination with higher maternal education. Furthermore, three-quarters of European papers had statistically insignificant results, and low heterogeneity.

Setting

Within the setting subgroup analysis (Fig. 5), vaccination of children was most likely in highly educated women in rural areas, with an odds ratio 2.17 (95% CI 1.48–3.17). There was no statistically significant difference in the odds ratios between the rural and urban settings.

Timing

As seen in Fig. 6, studies conducted before 2000 show an odds ratio of 2.58 (95% CI 2.04–3.26). The overall odds ratio for studies conducted from 2001 is 2.18 (95% CI 1.62–2.94). Although the odds of complete child vaccination are slightly lower in the later time period, there was no statistically significant difference in the odds ratios.

Summary estimate of vaccine completion by maternal education level

Collapsing of the different maternal education variables into the 4 categories, none, primary, secondary or tertiary education, to obtain the pooled estimate of the percentage of children fully vaccinated per strata is shown in Table 3. This demonstrates an increase in completion of vaccination as the maternal education level increases. Only 42.8% (95% CI 35.2–50.4) of children whose mothers had no education were fully vaccinated. This increases to 80.2% (95% CI 75.5–85.0) amongst children whose mothers had completed tertiary education. The pooled summary also shows that there is the overall prevalence of vaccination uptake was 57.8% (95% CI: 52.4–63.1).
Table 3
Pooled summary vaccination completion per education level
Maternal education level
Pooled child vaccination completion (%)
95% confidence interval
I-squared (%)
None
42.8
35.2–50.4
99.7
Primary
56.6
49.5–63.7
99.4
Secondary
64.3
56.1–72.5
99.2
Tertiary
80.2
75.5–85.0
89.3
However, there is significant heterogeneity between studies, as reflected in the I-squared values. This demonstrates that maternal education is not the only determinant of vaccination uptake.

Discussion

Summary

The primary finding of this review is that an increase in maternal education is correlated with increased childhood vaccination. However, the overall effect size of maternal education on vaccination completion cannot be concluded due to heterogeneity between the studies. Summary estimates of percentage of children fully vaccinated according to the level of maternal education showed a step-wise increase in overall percentages as maternal education increased from none to tertiary. Additionally, a significant difference was shown on the meta-analysis between literate and illiterate women, displaying that increased literacy has a beneficial impact on vaccination uptake.
This review also demonstrated a difference in the size of the effect seen between Asia and Africa compared to Europe. The higher odds ratio of maternal education on vaccination uptake in Asia and Africa may demonstrate that education plays a more important role in lower income countries. This could be due to societal development as areas with better education may also have improved healthcare access. Whilst the effect is lower in Europe, it is still positive. This demonstrates the importance of maternal education even in the presence of good health care programmes.
No difference in the effect of maternal education on vaccine uptake was found between urban and rural settings. It is of note that many of the studies were population based so are likely to be representative; however, two studies were conducted in a hospital setting so are less generalizable.
The results also show no difference in the effect of maternal education on vaccine uptake between time periods.
The heterogeneity seen between the results may be due to a number of other factors which may also affect vaccination uptake, such as availability of the immunizations, distance to healthcare facility, household income and maternal age which would confound the effect size [18]. Despite the presence of confounders, there remains a strong correlation between maternal education and child vaccination completion.

Limitations

As with all studies, this review has some limitations. The main one was the exclusion of non-English papers which could potentially lead to language bias. Moreover, authors were not contacted for the raw data if the study had been excluded due to lack of published data in the required format.
In addition, condensing the maternal education variables may have hidden subtle patterns between the smaller jumps in education level. Furthermore, this meant that in studies with dichotomous variables of educated against not, and illiterate vs literate, the educated variable was also categorised as “none/primary” in the meta-analysis. Due to the differences in the settings of the studies, there was no universal standard for measuring level of education. In order to compare them in this review, they were categorised into set variables which contributed to the high heterogeneity.

Implications of this review

This current review adds further evidence of the association between maternal education and child mortality reduction [19]. It is possible that child vaccination uptake is in fact one of the pathways for which this relationship is seen. It also shows that child vaccination uptake is not solely down to supply of vaccinations, and programs which aim to increase the dispersion of immunizations need to concentrate on these additional factors [20]. Furthermore, it adds to the current argument of the importance of educating women and gender equality [21]. Despite these associations this study does not answer the question of exactly how maternal education increases vaccine uptake. One link may be that increasing maternal education leads to more access to healthcare and therefore vaccine uptake. However, previous studies have theorised that maternal education, specifically literacy, enhance cognition and communication skills which encourage healthier lifestyle choices leading to lower childhood mortality [22].
The meta-analysis looking at literacy levels demonstrated that one of the potential mediators between maternal education and complete vaccination was maternal literacy. This is further supported by Balogun et al. who found that mothers who were literate, regardless of their education level, were more likely to vaccinate their children [23]. This therefore implies that improving the educational standards to ensure literacy will have a greater impact on increased childhood vaccination than simply increasing the throughput of girls in education.
Overall it is clear that female education is crucial in improving child health and should be considered when policies surrounding child health are implemented. Whilst this study cannot provide an overall total effect size of maternal education on child vaccination uptake, it does demonstrate that there is a consistently positive effect. This should be taken into consideration when global health policies aiming to increase the uptake of child vaccination are applied. It also highlights the importance of female education on wider factors other than self-improvement and the economy [19].

Conclusions

This review highlights the positive effect of maternal education on childhood vaccination uptake across different continents, settings, and time periods.
It has been long established that childhood mortality is decreased by childhood vaccination [21]. This analysis identified that increased maternal education leads to increased childhood vaccination uptake and, in turn, will decrease childhood mortality.

Acknowledgements

Not applicable

Funding

No specific funding was obtained for this study. Logan Manikam is funded by an NIHR Doctoral Research Fellowship. Sarah Gerver was funded by an MRC Population Health Science Post-Doctoral Fellowship.

Availability of data and materials

Available on request.
Not applicable.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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
The global effect of maternal education on complete childhood vaccination: a systematic review and meta-analysis
verfasst von
Jennifer Forshaw
Sarah M. Gerver
Moneet Gill
Emily Cooper
Logan Manikam
Helen Ward
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2017
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-017-2890-y

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