The global coverage rate of birth registration is only around 65% for the population of children under five although birth registration secures protection and access to health services that are fundamental rights for all babies. This study aimed to perform a basic analysis of the accessibility to birth registration to better understand how to improve the birth registration system in the Lao PDR.
Methods
For the analysis of birth registration and related socioeconomic factors, 9576 mother-child pairs were chosen from the data set of The Lao Social Indicator Survey 2011–12. After bivariate analysis with statistical tests including the chi-square test were conducted, logistic regression was performed to determine the variables that statistically influence accessibility to birth registration.
Results
Ethno-geographic factors and place of delivery were observed to be the factors associated with birth registration in this analysis.
Conclusion
Many mothers in the Lao PDR deliver in their local communities. Therefore, capacity development of various human resources, such as Skilled Birth Attendant, to support the local administrative procedure of birth registration in their communities could be one option to overcoming the bottlenecks in the birth registration process in the Lao PDR.
Abkürzungen
ASEAN
Association of Southeast Asian Nations
CHV
community health volunteer
CHW
community health worker
Lao PDR
Lao People’s Democratic Republic
LSIS
Lao Social Indicator Survey
SBA
skilled birth attendant
SPSS
Statistical Package for Social Sciences
TBA
traditional birth attendant
UHC
universal health coverage
UNICEF
United Nations International Children’s Emergency Fund
WHO
World Health Organization
Background
Under the Convention of the Rights of the Child, all children have the right to have a legally registered name, to be officially recognized by the government and also to have a certified nationality [1]. However, globally, almost 230 million children have never been officially registered according to a 2013 UNICEF report [2]. Birth registration secures protection and access to health services that are fundamental rights for all babies. According to previous reports, political stance, law, human rights and economic, cultural, gender, geographical and domestic security issues are cited as possible bottlenecks in birth registration [3, 4].
Basic demographic data collected by birth registration are crucial information for national planning and monitoring because they enable the creation of effective strategies not only for the health sector but for all sectors of development [5, 6]. The registration of births is fundamental to ensure civil and political rights including those of enrollment of children in school at the appropriate age and their right of access to appropriate healthcare [7]. In addition, the legal acknowledgement of a child’s existence protects the child from various deprivations such as child trafficking, under-age participation in the military and forced marriage [5, 8].
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According to the 2013 UNICEF report, the coverage rate of birth registration is only around 65% of the population of children under five worldwide [2]. The low coverage of birth registration in Asian and Sub-Saharan African countries implicates various complicated factors such as geographical conditions or socioeconomic situations as possible bottlenecks, especially in remote communities. The results from Ghana indicated that birth registration is a privilege for children whose parents are educated, wealthy and living in urban communities [9]. In Nigeria, age, level of education, marital status, occupation, place of delivery, attended antenatal care and food availability at home were the factors related to the accessibility to birth registration [10, 11]. Although the bottlenecks have been investigated from various angles in Africa, exploration of the socioeconomic factors of the practice of birth registration in Southeast Asia remains inadequate.
The Lao PDR, the subject country of this analysis, has a rate of birth registration of 75% according to the 2015 UNICEF report [12]. This figure, along with other maternal and child health indicators, is one of the lowest among the ASEAN countries (Table 1). In the Lao PDR, a series of family registrations, such as birth registration, is provided for under the “Family Registration Law” [13]; however, the actual practice of birth registration in the community seems to be hard to achieve because in the Lao PDR, many mothers deliver their children at home in their local communities, which accounts for 75% of the total deliveries. In this unique context, delivery conditions, which are included as a part of social determinants [14], are likely to be a predominant factor related to the accessibility to birth registration in the Lao PDR [12].
Table 1
Indicators of maternal, newborn and child health in the ASEAN countries
Countries
Infant mortality rate (under 1 year)
Neonatal mortality rate
Maternal mortality ratio (Adjusted)
Maternal mortality ratio (Reported)
Skilled attendant at birth
Institutional delivery
Antenatal care at least one visit
Antenatal care at least four visit
Birth registration, 2005–2013
Indonesia
25
14
190
360
83
63
96
88
67
Philippines
24
14
120
220
72
55
95
78
90
Vietnam
19
13
49
67
93
92
94
60
95
Thailand
11
8
26
12
100
100
98
93
99
Myanmar
40
26
200
320
71
36
83
73
72
Malaysia
7
4
29
26
99
99
97
–
–
Cambodia
33
18
170
210
72
61
89
59
62
Lao PDR
54
29
220
360
42
38
54
37
75
Singapore
2
1
6
–
–
100
–
–
–
Brunei
8
5
27
–
100
100
99
–
–
Southeast Asia average
61
40
74
–
93
87
94
80
79
Source: The State of the World’s Children 2015
Therefore, this study aimed to perform a basic analysis of the accessibility to birth registration to better understand methods to improve the birth registration system in the Lao PDR and to determine policy implications for overcoming the difficult achievement of birth registration in Lao PDR, where most mothers choose home delivery.
Methods
Data
We used data from the 2011–12 Lao Social Indicator Survey (LSIS) in the present analysis. The LSIS is a household-based survey that applies the technical frameworks of the Multiple Indicator Cluster Survey and the Demographic and Health Survey [15]. LSIS was conducted to monitor the progress towards the Millennium Development Goals and to serve as a baseline for the 7th National Socio-Economic Development Plan [16]. Field data were collected from October 2011 to February 2012. Among the 18,843 households interviewed nationally in the survey, 97,421 household members were listed. Of these, 47,820 were men and 49,601 were women. The average household size found in the survey was 5.2 persons.
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The response rates for households, women and men were 99% (18,843/19,018), 94% (22,476/23,937) and 89% (9951/11,166), respectively. Detailed information was obtained via interview on 11,067 (98%) of the 11,258 children under 5 years of age listed in the household questionnaire. Face-to-face interviews were conducted with all women aged 15–49 years and men aged 15–59 years in the sampled households by use of questionnaires covering socioeconomic, demographic and health indicators.
The survey covers a broad range of topics including water and sanitation, marriage and sexual activity, fertility levels and trends, reproductive health, adult and maternal mortality, child health, nutrition, child mortality, child development, literacy and education, child protection, HIV/AIDS and sexual behavior, access to mass media and use of information/communication technology.
Statistical analysis
Values related to the accessibility to birth registration across the categories of the explanatory variables are presented as numbers and percentages. The outcome indicator of birth registration includes children whose parents self-reported the possession of a birth certificate and children whose mother or caretaker said that the birth had been registered [15].
From the LSIS data set, 9576 mother-child pairs for which complete data on socioeconomic stat was available were used for the analysis of birth registration and related socioeconomic factors.
First, bivariate analysis was conducted to explore the proportion of children registered with respect to each socioeconomic factor. Statistical tests including the chi-square test were used to test whether there were significant associations between the responses about birth registration and the socioeconomic factors. The analysis used 14 socioeconomic factors at the child, maternal, household and community levels: child’s sex, child’s age in months, maternal age, marital status, maternal educational attainment, experience of delivery, experience of child loss, paternal educational attainment, head of household’s ethnicity, head of household’s ethno-language, head of household’s religion, wealth index quintiles, region and settlement. Bivariate analysis was also performed to clarify the relationships between place of delivery, delivery attendance and birth registration. Finally, we used logistic regression to explore the variables that statistically influenced accessibility to birth registration by preparing 3 logistic models (model 1 included “maternal, household and community variables only”; model 2 included “maternal, household, community variables and skilled birth attendant (SBA) attendance”; and model 3 included “maternal, household, community variables, SBA attendance and place of delivery”). All analyses were done using IBM SPSS Statistics for Windows, Version 24.0.
Results
Figure 1 shows the geographical distribution of birth registration among the 17 provinces in the Lao PDR. Apart from most of the provinces, which have almost 100% birth registration, only Huaphanh province in the North had a significantly low percentage of 76.7%. Vientiane Capital, site of the national capital, reported relatively high coverage of birth registration.
Fig. 1
Geographical distribution of the percentages of birth registrations by province in the Lao PDR. The original map was retrieved from the URL below and licensed under the Creative Commons Attribution 2.5 Generic license. Https://commons.m.wikimedia.org/wiki/File:Laos_provinces_blank.png is provided by Wikipedia with common license
×
Table 2 presents the proportions of children between the ages 0–59 months who have birth registration according to child, maternal, household and community factors. Corresponding levels of association between the independent variables and the dependent variable are also indicated based on chi square test results. There was no association between child sex and birth registration. Children whose mothers had experienced child loss had less access to birth registration. Children whose parents had higher levels of education were more likely to have birth registration than those whose parents had a lower level of education. For instance, rates of access to birth registration by children according to the mother’s educational level were as follows: no education, 66.3%; primary education, 75.1%; secondary education, 83.9% and higher education, 93.8%. The trend was clearer than that for the father’s educational attainment. Rates of access to birth registration by children according to the father’s educational level were as follows: no education, 66.6%; primary education, 71.1%; secondary education, 79.6% and higher education, 92.7%. Similar patterns were observed with higher household wealth. In terms of ethnicity, only 57.1% of the Khmer ethnic group had access to birth registration. Only 68.1% of Animists had access to birth registration, in contrast to 81.4% of Buddhists.
Table 2
Relationship between child factors, maternal factors, household factors, community factors and birth registrations, Lao PDR (n = 9576)
Birth registration
Independent factors
Yes
No
Pa
n
(%)
n
(%)
Child factors
Child sex
Male
3580
73.7
1276
26.3
0.174
Female
3537
74.9
1183
25.1
Child ageb (months)
0–11
1222
60.4
796
39.4
<0.001
12–23
1406
74.0
494
26.0
24–35
1410
76.4
436
23.6
36–47
1589
80.7
379
19.3
48–59
1490
80.8
354
19.2
Maternal factors
Maternal ageb (years)
15–19
443
65.4
234
34.6
<0.001
20–29
4041
74.5
1386
25.5
30–39
2179
76.1
686
23.9
40–49
454
74.8
153
25.2
Marital status
Never
30
71.4
12
28.6
0.667
Married
7083
74.3
2447
25.7
Divorced
2
100.0
0
0.0
Widowed
2
100.0
0
0.0
Maternal educational attainmentb
No education
2229
66.3
1131
33.7
<0.001
Primary
2969
75.1
982
24.9
Secondary
1738
83.9
334
16.1
Higher
181
93.8
12
6.2
Ever given birth
Yes
7105
74.3
2458
25.7
0.137
No
12
92.3
1
7.7
Ever experienced loss of a childb
Yes
1703
69.2
759
30.8
<0.001
No
5414
76.1
1700
23.9
Household factors
Father’s educational attainmentb
No education
1015
66.6
510
33.4
<0.001
Primary
3094
71.1
1257
28.9
Secondary
2575
79.6
658
20.4
Higher
433
92.7
34
7.3
Ethnicity of HHHb
Lao
2911
83.2
588
16.8
<0.001
Khmu
1056
79.8
268
20.2
Khmer
764
57.1
575
42.9
Other
2386
69.9
1028
30.1
Ethno-linguistics of HHHb
Lao-Thai
3472
81.1
808
18.9
<0.001
Mon-Khmer
2482
73.9
878
26.1
Hmong-Mien
805
57.6
593
42.4
Chinese-Tibetan
358
66.5
180
33.5
Religion of HHHb
Buddhist
3576
81.4
815
18.6
<0.001
Animist
3447
68.1
1616
31.9
Other
94
77.0
28
23.0
Wealth index quintilesb
Poorest
2186
66.9
1079
33.1
<0.001
2nd quintile
1546
69.4
683
30.6
3rd quintile
1336
77.7
384
22.3
4th quintile
1077
81.7
241
18.3
Wealthiest
972
93.1
72
6.9
Community factors
Regionb
North
2558
67.2
1249
32.8
<0.001
Central
2569
80.4
627
19.6
South
1990
77.3
583
22.7
Settlementb
Urban
1528
88.4
200
11.6
<0.001
Rural w/ road
4926
72.8
1836
27.2
Rural w/o road
663
61.0
423
39.0
Total
7117
74.3
2459
25.7
HHH: head of household
aP-value was calculated for chi square tests (categorical variables)
bCorrelation between the independent variable and birth registration/birth certificate is statistically significant at the 0.05 level, and the variable was included in further logistic regression analyses
In regard to community factors, there were broad-based variations in birth registration by region as shown in Fig. 1. In addition, settlement was likely to be related to the rates of attainment of birth registration: 88.4% in urban areas versus 61.0% in rural areas without roads.
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The results of accessibility to birth registration by delivery condition were significantly different (Table 3). Children who were born at health centers (68.4%) and at home (65.0%) were less likely to have their birth registered compared to those born at a hospital (85.1%) or a private facility (89.5%). Attendance by a SBA seem to encourage mothers to obtain birth registration. In contrast, delivery with a traditional birth attendant/community health worker (TBA/CHW) did not seem to result in mothers obtaining a birth registration for their newborns; there was no significant difference between TBA/CHW and birth registration.
Table 3
Relationship between delivery place and birth attendance and birth registration, Lao PDR
Birth registration
Independent factors
Yes
No
Pa
n
(%)
n
(%)
Delivery placeb
Hospital
1240
85.1
217
14.9
<0.001
Health center
130
68.4
60
31.6
Private facility
34
89.5
4
10.5
Home
2535
65.0
1368
35.0
Other
73
38.4
117
61.6
Skilled birth attendantb
Yes
1422
79.3
370
20.7
<0.001
No
5695
73.2
2089
26.8
TBA/CHW
Yes
588
72.2
226
27.8
0.155
No
6529
74.5
2233
25.5
TBA/CHW: Traditional birth attendant/Community health worker
aP-value was calculated for chi square tests (categorical variables)
bCorrelation between the independent variable and birth registration/birth certificate is statistically significant at the 0.05 level, and the variable was included in further logistic regression analyses
Logistic regression analysis was applied to determine the variables that statistically influenced the attainment of birth registration. Variables that were of no significance, variables related to the child and variables that had collinearity were excluded from the analysis beforehand. The results are presented in Table 4.
Table 4
Odds ratios (95% CIs) of birth registration by different models, Lao PDR
Birth registration
Model 1a
Model 2b
Model 3c
OR
95% CI
OR
95% CI
OR
95% CI
Maternal factors
Maternal age
15–19
1.00
1.00
1.00
20–29
1.45
1.21
1.73***
1.45
1.21
1.73***
1.35
1.12
1.64***
30–39
1.67
1.37
2.02***
1.67
1.37
2.02***
1.54
1.24
1.91***
40–49
1.83
1.41
2.37***
1.83
1.41
2.37***
1.49
1.06
2.10**
Maternal educational attainment
No education
Primary
Secondary
Higher
Ever experienced loss of a child
No
1.00
1.00
Yes
0.86
0.76
0.96**
0.86
0.76
0.96**
Household factors
Father’s educational attainment
No education
1.00
1.00
1.00
Primary
1.05
0.91
1.19
1.05
0.91
1.19
0.96
0.81
1.13
Secondary
1.19
1.02
1.40 *
1.19
1.02
1.40 **
1.11
0.92
1.35
Higher
2.04
1.37
3.05***
2.04
1.37
3.05***
2.03
1.30
3.18***
Ethnicity of HHH
Lao
1.00
1.00
1.00
Khmu
1.08
0.82
1.41
1.08
0.82
1.41
0.86
0.62
1.18
Khmer
0.37
0.20
0.68***
0.37
0.20
0.68***
0.42
0.19
0.92**
Other
0.63
0.52
0.77***
0.63
0.52
0.77***
0.59
0.47
0.75***
Ethno-linguistics of HHH
Lao-Thai
1.00
1.00
1.00
Mon-Khmer
1.40
1.14
1.72***
1.40
1.14
1.72***
1.64
1.27
2.12***
Hmong-Mien
1.20
0.67
2.18
1.20
0.67
2.18
1.12
0.51
2.44
Chinese-Tibetan
1.20
0.93
1.56 **
1.20
0.93
1.56
1.07
0.77
1.47
Religion of HHH
Buddhist
1.00
1.00
Animist
0.89
0.75
1.05
0.89
0.75
1.05
Other
1.51
0.96
2.40**
1.51
0.96
2.40*
Wealth index quintiles
Poorest
1.00
1.00
2nd quintile
1.00
0.88
1.13
1.00
0.88
1.13
3rd quintile
1.34
1.15
1.57***
1.34
1.15
1.57***
4th quintile
1.40
1.16
1.70***
1.40
1.16
1.70***
Wealthiest
2.78
2.05
3.77***
2.78
2.05
3.77***
Community factors
Settlement
Urban
1.00
1.00
1.00
Rural w/ road
0.62
0.52
0.74 ***
0.62
0.52
0.74***
0.63
0.51
0.77***
Rural w/o road
0.39
0.31
0.49***
0.39
0.31
0.49***
0.38
0.30
0.49***
Delivery factors
Delivery place
Hospital
1.00
Health center
0.53
0.38
0.76***
Private facility
1.56
0.54
4.55
Home
0.47
0.39
0.56***
Other
0.15
0.11
0.22***
SBA assisted
No
Yes
N
9576
9576
5778
Log likelihood
10,127.238
10,127.238
6589.391
X2 test for model
<0.01
<0.01
<0.01
Hosmer-Lemeshow
0.369
0.369
0.233
CI: confidence interval; HHH: head of household; OR: odds ratio; SBA: skilled birth attendant
*p < .10, ** p < .05, *** p < .01
aModel 1: maternal, household and community variables only
bModel 2: maternal, household, community variables and birth attendance
cModel 3: maternal, household, community variables, birth attendance and delivery place
Maternal age was the significant factor for birth registration, rather than maternal educational attainment, in model 1. Higher educational attainment of the father and higher household wealth were likely to accelerate registration of a child’s birth. Khmer people were significantly less likely to have access to birth registration. SBA attendance was not associated with accessibility to birth registration. SBA attendance was excluded in model 2 and thus had no association with birth registration. In model 3, place of delivery, experience of child loss, religion and household index were not associated with birth registration in contrast to the results in models 1 and 2. As expected, children who were born in a community were less likely to have birth registration: 46% in health centers, 53% at home and 85% in other locations.
Discussion
In this analysis, we illustrated the geographical distribution of birth registration, and then we examined variables related to the outcomes of birth registration. Ethnicity of the head of the household, settlement and delivery place were observed to be the important factors related to accessibility of birth registration in this analysis.
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First, considerable geographical distribution was identified across all of the provinces. Accessibility in Huaphanh province and Pongsaly province in the Northern area was quite low compared with that in the Central and Southern areas. In the Lao PDR, the Northern area, in which ethnic minorities dwell, consists of a mountain range running along the border with China, Myanmar and Vietnam. In the multivariable analysis, settlement and ethnicity were the common factors that remained in all models, which means that ethno-geographic factors may determine the accessibility to birth registration. Even after adjustment for SBA attendance or place of delivery, settlement and ethnicity were still likely to be significant factors. Of great concern are the disparities between different regions in the nation, within regions and between urban and rural areas [2]. The possible reasons accounting for these ethno-geographic differences in birth registration in the Lao PDR are poor literacy in ethnic minority groups and poor accessibility by road especially in the Northern mountainous region. Thus, we surmise that the birth registration system is not working well in the mountainous remote areas where ethnic minorities dwell. For this reason, a community-based strategy targeting the people living in remote areas or ethnic minority groups is needed.
Because geographical disparity is a fundamental issue that cannot be avoided, we should further promote community-based intervention, which is in place everywhere in the Lao PDR. Considering the geographical disparities of accessibility to birth registration in many communities, community health volunteers (CHVs) assume a key role in issuing birth certificates and supervising the management of the family book in the Lao PDR. In some regions, CHVs work actively and have all of the information on vital statistics such as births or deaths [17‐19]. Strengthening the monitoring and evaluation system of vital statistics by further enhancing the capacity of CHVs would be a useful measure because they may play an important role as the recorder of vital statistics in remote communities. Empowering village heads and administrative staffs who are in charge of managing vital statistics in a village to monitor the community population could be another possible approach. Furthermore, from a gender perspective, the father’s higher education attainment was significantly associated with birth registration. Approaches to enlighten fathers’ awareness and knowledge about birth registration may exert a rapid effect on increasing the rate of birth registration in the Lao PDR. Such efforts will serve as a fundamental service from the government in the future.
In the multivariate analysis, not surprisingly, place of delivery was significantly associated with birth registration: the children who were born at a health center, at home or at other places were especially much less likely to have accessibility to birth registration. Only 65.0% of the children who were born at home had access to birth registration. This is 10 percentage points lower than the national representative average rate of birth registration of 75% [12]. Widely throughout Southeast Asian countries, and especially in the Lao PDR, home is the major place for the delivery of children [20, 21]. One of the reasons for choosing home delivery is that Lao mothers expect to follow the traditional habit of staying by the fire during the perinatal period [20].
To improve access to proper birth registration especially in pockets of the Lao PDR, one possible approach could be capacity building of SBAs in the community to support mothers’ access birth registration right after delivery [22]. The WHO Western Pacific Region Office has set a target to increase SBA-assisted delivery coverage to 90% by 2020 [23]. SBAs should instruct parents who choose a community-based delivery in the birth registration procedure. Although not addressed in this paper, 29.3% of children obtained a birth certificate. To guarantee continuum of care, improvement of the procedures to obtain not only birth registration but also to acquire a birth certificate are important issues. For maternal and child health, it is necessary to strengthen antenatal care and safe motherhood, the continuum of care leading to parental care, and the life-cycle approach throughout life. Birth certificates may be necessary for various events in life, such as for education or overseas travel. SBAs should also be required to play a role in assisting in the acquisition of birth certificates. For the Lao PDR, visualizing and counting all people, including those who are marginalized, is the most crucial step also from the perspective of universal health coverage (UHC) [24].
Anzeige
Although this study reached its aims and important policy implications can be drawn from the results, it does have an important limitation. The study was carefully prepared by conducting a statistical analysis using representative national data, but it is a secondary analysis using national data with limited available variables. Thus, conclusions about causality cannot be drawn, nor can all possible confounders be taken into account. Therefore, in terms of UHC, our analysis raises further questions about what are the other factors related to achieving birth registration in rural communities in the Lao PDR. Further investigation of birth registration is recommended to collect detailed community-based data that can contribute to improving accessibility to the birth registration system in the Lao PDR.
Conclusions
Our findings confirmed that ethno-geographic factors and place of delivery appear to be the two most significant factors associated with accessibility to birth registration in the Lao PDR. As one effective strategy to overcoming geographical disparity in the Lao PDR, where most mothers choose home delivery, we recommend community-based interventions that focus on capacity development of community health personnel such as the SBA.
Acknowledgments
We would like to acknowledge and thank the National Institute of Public Health in the Lao PDR for their technical and academic cooperation.
Funding
No funding was obtained for this study.
Availability of data and materials
Lao Social Indicator Survey 2011–12 (LSIS 2011–12) data is available at the National Statistical Bureau, Lao PDR.
Ethics approval and consent to participate
Ethical clearance to analyze the data was obtained from the ethical review committee, Lao National Institute of Public Health, Vientiane, Lao PDR (#2016.2.MC).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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