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Research Article
Revised

Regional disparities in postnatal care among mothers aged 15-49 years old: An analysis of the Indonesian Demographic and Health Survey 2017

[version 2; peer review: 2 approved]
Previously titled: Regional disparities in postnatal care among mothers aged 15-49 years old in Indonesia
PUBLISHED 16 Aug 2021
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Abstract

Background: In Indonesia, maternal mortality remains high, significantly 61.59% occur in the postnatal period. Postnatal care (PNC) provision is a critical intervention between six hours and 42 days after childbirth and is the primary strategy to reduce maternal mortality rates. However, underutilisation of PNC in Indonesia still remains high, and limited studies have shown the regional disparities of PNC in Indonesia.
Methods: This study aims to explore the gaps between regions in PNC service for mothers who have had live births during the last five years in Indonesia. This study was a secondary data analysis study using the Indonesian Demographic and Health Survey (IDHS) in 2017. A total of 13,901 mothers aged 15-49 years having had live births within five years were included. Chi-squared test and binary logistic regression were performed to determine regional disparities in PNC.
Results: Results indicated that the prevalence of PNC service utilisation among mothers aged 15-49 years was 70.94%. However, regional gaps in the utilisation of PNC service were indicated. Mothers in the Central of Indonesia have used PNC services 2.54 times compared to mothers in the Eastern of Indonesia (OR = 2.54; 95% CI = 1.77-3.65, p<0.001). Apart from the region, other variables have a positive relationship with PNC service, including wealth quintile, accessibility health facilities, age of children, childbirth order, mother's education, maternal occupation, spouse's age, and spouse's education.
Conclusion: The results suggest the need for national policy focuses on service equality, accessible, and reliable implementation to improve postnatal care utilisation among mothers to achieve the maximum results for the Indonesian Universal Health Coverage plan.

Keywords

postnatal care, regional disparities, reduced inequalities

Revised Amendments from Version 1

1. As suggested by the reviewer, we have changed the title into "Regional disparities in postnatal care among mothers aged 15-49 years old: An analysis of the Indonesian Demographic and Health Survey 2017"
2. On the abstract part, result section, we have changed the term middle to central and the term East of Indonesia into Eastern, the term husband to spouse. 
3. On the abstract part, conclusion section, we have revised the conclusion as suggested by reviewer. 
4. The term of "Jawa" mentioned in the article, has been changed into Java.
5. The references in the article must be written in chronologically way in the same pattern for all.
The reference list has been completed and corrected.
6. Table 3: Socio-demographic characteristic of participants PNC in Indonesia based on region (n=13,901). The total sum of (No) use of PNC is not right (4039) it is 4040
7. The discussion has been revised according to the reviewer suggested. The sentence has been revised accordingly. 
8. The conclusion part has been revised accordingly as well as with data availability statement.

See the authors' detailed response to the review by Kusrini S. Kadar
See the authors' detailed response to the review by Asmaa Salah Eldin Mohamed Saleh

Introduction

Maternal morbidity and mortality are serious global health challenges. In 2019, the World Health Organization (WHO) revealed that 94% of maternal mortality occurred in low and middle-income countries, of which Indonesia is one (World Health Organization, 2019; World Health Organization et al., 2015). During 2000 and 2017, the maternal mortality ratio plunged by about 38% worldwide. Even with this decline, Sub-Saharan Africa and Southern Asia accounted for approximately 86% of maternal deaths worldwide. Southern Asia alone accounted for nearly one-fifth (58,000), which demonstrated the struggle to improve maternal health (World Health Organization, 2019; World Health Organization et al., 2015). In the Indonesia context, the government determined a target to reach an important goal of reducing maternal mortality rate to 102 per 100,000 live births in 2015 (Bappenas, 2015; Ministry of Health Republic of Indonesia, 2018). Despite the significant efforts to expand maternal health programmes, recent evidence showed that Indonesia was off-track to reach the Millenium Development Goals (MDGs) target by 2015. In 2015, maternal mortality deaths in Indonesia were three times higher than the MDGs target (Ministry of Health Republic of Indonesia, 2018; UNICEF & World Health Organization, 2015; World Health Organization et al., 2015). Hence, reducing maternal mortality ratio to less than 70 per 100,000 by 2030 as one of the Sustainable Development Goals (SDGs) targets could be a critical challenge for Indonesia (UNICEF & World Health Organization, 2015; United Nations, 2017; World Health Organization, 2012).

Most maternal mortality deaths are preventable or treatable if skilled healthcare, such as midwives, is provided during the postnatal period. Critical interventions during the postnatal period must be delivered to prevent maternal mortality deaths (Lawn et al., 2016; World Health Organization et al., 2015). In the Indonesian setting, the cause of maternal mortality is predominantly due to postpartum haemorrhage, followed by indirect causes, such as heart disease, severe anaemia, malaria, HIV/ AIDS and hepatitis. Many factors have been linked to interventions of postpartum haemorrhage which cause emergency cases, and skilled health care required to respond effectively to emergencies (Adisasmita et al., 2015; Mahmood et al., 2018). However, PNC remains a critical intervention to reduce maternal deaths in Indonesia. A new health programme called EMAS or Expanding Maternal and Neonatal Survival) was implemented by the Indonesian government in 2012, focused on improving maternal health care. The programme aimed at ensuring that every woman has access to quality maternal healthcare, including childbirth assistance by skilled health personnel in healthcare facilities (a target of 2018 strategic plan: 82%), four visits of Antenatal care (ANC) (78% ), PNC, and providing ANC (87%). However, the national data revealed that utilisation of PNC among 34 provinces in Indonesia remain varied and was considered lower compared to the childbirth assistance by skilled health personnel coverage. Socioeconomic, geographical, and demographic factors influence the underutilisation of PNC. Current systematic reviews show that levels of education, poverty, and limitations of access to PNC services are common issues in low-and middle-income countries linked to inequities in the use of PNC services (Langlois et al., 2015).

The national data of Indonesia in 2018 revealed that the average percentage of PNC visits for the first time in Indonesia was 93.3%. The highest percentage of visits occurred in Yogyakarta (99.6%), and the lowest percentage of visits was in Papua (56.3%). However, there were regional gaps in PNC visits across the provinces in Indonesia. Also, PNC utilisation in rural areas was lower than in urban areas of Indonesia (Kementerian Kesehatan Republik Indonesia, 2018; Ministry of Health Republic of Indonesia, 2018; Probandari et al., 2017). It is worth noting that 61.59 % of maternal mortality rates occurred during the postnatal period in Indonesia. Additionally, evidence shows that the quality of PNC is lower in most districts and cities among the Eastern Region in Indonesia. PNC must be performed a minimum of three times: within the first six hours to the third day after the delivery, from the fourth day to the 28th after the delivery and the 29th day to the 42nd day after childbirth. The standards of PNC including examination for vital signs; the apex of the uterus; lochia and other per vagina fluids; breasts and counselling for exclusive breastfeeding; provision of communication, information about and education of PNC, and family planning (Ministry of Health Republic of Indonesia, 2018; Probandari et al., 2017).

Several studies show that regional disparities in PNC occur in several countries. In Ethiopia, there were differences in each region and variations at regional levels at the utilisation of PNC among women (Sisay et al., 2019). PNC service in Zambia was also reported to experience regional disparities (Jacobs et al., 2017). In the same vein, in Bangladesh, disparities in the utilisation of maternal health services were also reported (Raheem et al., 2019). However, research focused on regional disparities on PNC among mothers aged 15–49 years old in Indonesia are not well investigated. This study was conducted to analyse the gap between regions in PNC service utilisation among mothers aged 15 – 49 years old who have had live births during the last five years in Indonesia. This study is significant because it can be a source of information and a reference regarding regional disparities in the utilisation of PNC services in Indonesia. This research could complete a bigger picture for consideration in resolving discrepancies in maternal services in Indonesia.

Methods

This study was a secondary data analysis using the most recent data from the 2017 Indonesian Demographic Data Survey (IDHS). In this study, unit analysis data consist of women aged 15–49 years old having had live births in the last five years preceding the survey.

The purpose of the cross-sectional study of the IDHS conducted by the Inner City Fund (ICF) international together with the national implementer in Indonesia was to offer up-to-date projections of fundamental demographic and health indicators. The IDHS study demonstrates a broad overview of population problems in Indonesia.

We utilised the data conducted by the national and provincial representatives. This cross-sectional study represents 1,970 census blocks in urban and rural areas of Indonesia. The census block obtained 59,100 female respondents aged 15–49 years old. The survey employed a two-stage stratified cluster sampling method. The first stage was the selection of several census blocks by systematic sampling proportional size. In the second stage, 25 ordinary households were selected with systematic sampling from the listing. In this study, a sample of 13,901 women aged 15–49 years from 34 provinces in Indonesia was analysed. The inclusion criteria were taken from IDHS that included all women aged 15–49 years who had given birth in the last five years. The exclusion criteria were whether the variables incomplete or missing. In order to allow replicate the DHS data, the guide for using datasets for DHS analysis is available at https://dhsprogram.com/data/Using-DataSets-for-Analysis.cfm.

Ethical consideration

Ethical review boards approved ethical clearance for the Inner City Fund OCR Macro (number 45 CFR 46) and the national board review from the Ministry of Health of Republic Indonesia. Before the survey, an informed consent was obtained from the respondents based on voluntary participation.

Variables

The dependent variable of this study was PNC visits. According to the recommendation of the Ministry of Health Republic of Indonesia, PNC must be performed at minimum three times: at the first six hours to the third day after the delivery, on the fourth day to the 28th after the delivery and the 29th day to the 42nd day after childbirth (Ministry of Health Republic of Indonesia, 2018). This data was based on the mother’s perception of PNC utilisation during the postnatal period. Independent variables analysed in this study were the related geographic and socioeconomic factors, including a region of residence, the place of residence, wealth quintile, health insurance, access to a health facility, age, gender, birth rank, education, and occupation.

The residence region was grouped as six regions, namely Sumatera, Java, Bali & Nusa Tenggara, Kalimantan, Sulawesi, Maluku & Papua, and of which were also categorised as Western Indonesia, Central Indonesia and Eastern Indonesia. The place of residence was determined as rural and urban areas. The wealth quintile of households was set into five categories: poorest, poorer, middle, richer, and richest. The wealth quintile of households was scored based on wealth criteria (DHSProgram, 2016). Health insurance was divided into two categories, namely yes and no. Access to the health facility was categorised into two, namely difficult and not. Children’s age was divided into five categories: less than one month, one month, two months, three months, four months. The gender of the child, namely female and male. Birth rank was categorised as a first child, second, third, fourth and so on. Mother’s age was divided into six categories: 15–24, 25–29, 30–34, 35–39, 40–49, and 45–49, while spouse’s age was divided into seven categories: 11–20, 21–30, 31–40, 41–50, 51–60, 61–70, 71–80. Mother’s and spouses' education levels were grouped into no education, primary, secondary, and higher education. Mother’s and spouse’s occupation was divided into two categories: not working and working. Determination of each category on the variables based on DHS report (BKKBN-BPS-Kemenkes-ICF, 2018) which was adjusted to the minimum number of sample on each category to meet the statistical assumption.

Statistical analysis

Data were analysed using STATA version 16.0 by conducting descriptive analysis. The chi-square test was performed to determine variables correlated to the PNC utilisation. Binary logistic regression was utilised to determine disparity in this study. Measurement of associations among variables was expressed as Odds Ratio (OR) and 95% Confidence Interval (CI). Significant variables were tested with a p-value of 0.05 and 95% CI, which are considered the disparity in PNC among mothers aged 15–49 years in Indonesia.

Results

A total of 13,901 women aged 15–49 years old with live births in the last five years preceding the survey were interviewed. Table 1 shows the bivariate analysis that there were ten categories among some variables associated with the utilisation of PNC visits (p-value < 0.05). These variables include geographic factors, region, socio-economy (wealth quintile and access to the health facility), children (age of child and birth rank), mother factors (age, education and occupation), spouse factors (age, education, and occupation). Residence, socioeconomic (health insurance ownership), child gender, mother’s age and spouse’s occupation did not show associations with the utilisation of PNC visits among mothers aged 15–49 years old in Indonesia (Table 1). More detail results can be found in Table 1.

Table 1. Socio-demographic characteristic of participants by utilization of PNC in Indonesia (n=13,901).

CharacteristicUtilization of PNCX2p-value
NoYes
n%n%
The geographic factors
Indonesia
Western Indonesia326529.1794670.941.45***0.00
Central Indonesia61126.5169373.5
Eastern Indonesia16442.422257.6
Region
Sumatera105634.3202765.7116.36***0.00
Java202826.3569173.7
Bali & Nusa Tenggara23226.564273.5
Kalimantan29133.557866.5
Sulawesi27027.870172.2
Maluku & Papua16442.422257.6
Place of residence
Rural205128.6511671.41.450.49
Urban 198929.5474570.5
Socioeconomic factors
Wealth quintile
Poorest 92834.6175765.458.56***0.00
Poorer 82729.5198070.5
Middle 78126.9212773.1
Richer 75326.3210973.7
Richest 75128.4188871.6
Health insurance
No 171329.8402670.23.000.19
Yes 232628.5583571.5
Access to the health
facility
Difficult55536.098564.041.46***0.00
Not348528.2887771.8
Child’s factors
Age of child (in month)
Less than one month 100733.0204567.058.13***0.00
One month93829.9219870.1
Two months84030.0195670.0
Three months63124.7192975.3
Four months 62326.4173373.6
Sex of child
Male211829.9496370.15.110.06
Female192228.2489871.8
Birth rank
First child125127.1336872.941.25***0.00
Second 140028.7346971.3
Third76129.0186471.0
Fourth and more62835.1116064.9
Mother’s factors
Age of mother in year
15–24 79630.6180869.46.260.52
25–29 103229.2250270.8
30–34 99527.7259472.3
35–39 80829.0197571.0
40–44 33629.380970.7
45–49 7329.517470.5
Mother’s level of education
No education6350.06350.055.19***0.00
Primary111731.2245868.8
Secondary 235728.9580371.1
Higher 50324.6153775.4
Mother’s occupation
Working 191727.2513672.824.97***0.0001
Not working212331.0472569.0
Spouse’s factor
Age of spouse in year
11–20 4445.85254.223.83**0.0068
21–30 116429.6277270.4
31–40 190128.2484371.8
41–50 81729.2198570.8
51–6010635.719264.3
61–70 833.81566.2
71–8000.02100.0
Spouse’s level of
education
No education5137.08663.039.21***0.0001
Primary125432.5261067.5
Secondary 225528.0580372.0
Higher 47926.0136274.0
Spouse’s occupation
Working 401629.1979970.90.150.72
Not working 2327.26372.8

*p<0.05; **p<0.01;***p<0.001

Table 2 shows that the least distribution of respondents is in the Eastern of Indonesia. Nearly half of participants who live in the Eastern of Indonesia did not use the PNC services. More than half of participants who live in the Eastern of Indonesia was classified as the lowest. Interestingly, most participants who live in the Eastern of Indonesia stated that there was no problem with access to the health facility. More detail characteristics of participants can be found in Table 2.

Table 2. Socio-demographic characteristic of study participants PNC in Indonesia based on region (n=13,901).

Indonesia
The use of PNCWestern IndonesiaCentral
Indonesia
Eastern
Indonesia
Total
n%N%n%n%
No 326529.1261126.5116442.45404029.06
Yes 794670.88169373.4922257.55986170.94
Wealth quintile
Poorest 168615.0477233.5122758.75268519.32
Poorer 222419.8451622.406717.30280720.19
Middle 246521.9940317.484010.42290820.92
Richer 251622.4431413.63328.28286220.59
Richest 232020.6929912.98205.25263918.99
Health insurance
No 473142.2087037.7713835.77573941.29
Yes 648057.80143462.2324864.23816258.71
Access to the health facility
Difficult117610.4929412.757018.03153911.07
Not1003589.51201087.2531781.971236188.93
Age of child (in month)
Less than one month 246121.9549521.489725.02305221.96
One month253322.5950922.119324.21313622.56
Two months223019.8948521.078221.17279720.12
Three months208418.5941117.846416.64256018.42
Four months 190316.9840317.505012.96235616.95
Sex of child
Male567150.58120852.4220352.56708150.94
Female554049.42109647.5818347.44681949.06
Birth rank
First child384334.2868629.779023.28461933.23
Second 401535.8175232.6510126.27486935.03
Third210018.7445319.687118.45262518.88
Fourth and more125211.1741217.8912432.00178812.86
Age of mother in year
15–24 208018.5544519.337920.46260418.73
25–29 285325.4457925.1410226.28353325.42
30–34 291626.0157725.059524.69358925.82
35–39 227720.3143518.877218.54278320.02
40–44 9028.042149.29297.4511458.23
45–49 1831.63532.32102.572471.77
Mother’s level of education
No education630.56431.87215.351270.91
Primary285525.4763327.478722.52357525.72
Secondary 673960.11121352.6620853.84816058.70
Higher 155413.8641518.007118.29203914.67
Mother’s occupation
Working 547348.82135258.6822859.12705350.74
Not working573851.1895241.3215840.88684749.26
Age of spouse in year
11–20 700.63200.8561.48960.69
21–30 313527.9667229.1512933.46393628.31
31–40 547448.83109347.4317745.91674448.52
41–50 229520.4744519.316216.06280220.16
51–60 2201.96672.91112.922982.14
61–70 150.1470.3110.17230.17
71–8010.0110.0300.0020.01
Spouse's level of education
No education730.65492.14153.771370.99
Primary 306627.3571631.108120.98386427.80
Secondary 665359.34117551.0123059.65805857.97
Higher 141812.6536315.756015.60184113.25
Spouse's occupation
Working 1115499.49228599.2037697.321381599.38
Not working 570.51180.80102.68860.62
Total11211100.002304100.00386100.0013901100.00

Table 3 reveals that nearly half of participants who live in Sumatera, Kalimantan, Maluku and Papua did not use the PNC service. The highest number of participants classified as lowest was found in Maluku & Papua. For health insurance ownership, more participants who live in Kalimantan did not have health insurance. The highest number of participants having four and more children per household were found in Maluku & Papua (Table 3).

Table 3. Sociodemographic characteristic of participants PNC in Indonesia based on region (n=13,901).

Region 
The use of PNCSumateraJavaBali & Nusa
Tenggara
KalimantanSulawesiMaluku &
Papua
Total
n%n%n%n%n%n%n
No105634.25202826.2723226.5229133.4627027.7916442.454040
Yes202765.75569173.7364273.4857866.5470172.2122257.559861
Wealth quintile  
Poorest 71123.0583810.8535740.8321124.3434235.2122758.752685
Poorer 72523.52140118.1617219.6720323.4323824.546717.302807
Middle 65721.32172222.3112113.8820523.6016216.724010.422908
Richer 54617.72191424.8011513.1014316.4111211.57328.282862
Richest 44414.39184423.8910912.5210612.2211611.96205.252639
Health insurance 
No 125940.83323841.9535640.7443750.3331132.0413835.775739
Yes 182459.17448158.0551859.2643149.6765967.9624864.238162
Access to the health
facility
 
Difficult37312.107449.6410411.8810411.9814414.877018.031539
Not271087.90697490.3677088.1276488.0282685.1331781.9712361
Age of child (in month) 
Less than one month 73123.70163821.2317419.8817820.5023524.179725.023052
One month67922.03177022.9319322.0517520.1822523.229324.213136
Two months62820.37151519.6218421.0120123.1518819.348221.172797
Three months57818.76143818.6316518.9115217.5416216.656416.642560
Four months 46715.13135817.5915918.1516218.6316116.625012.962356
Sex of child 
Male158951.55388650.3546753.4043149.6550552.0220352.567081
Female149448.45383249.6540746.6043750.3546647.9818347.446819
Birth rank 
First child88228.60283836.7725128.6726029.9729830.749023.284619
Second 102533.24284536.8730835.2631336.0527628.4310126.274869
Third65521.25135717.5816018.2617820.4420521.117118.452625
Fourth and more52116.916788.7915617.8111813.5419119.7212432.001788
Age of mother in year 
15–24 51216.60147419.1014917.0718020.7621021.647920.462604
25–29 78325.41195325.3022025.1624828.6022723.3910226.283533
30–34 88628.73193125.0222726.0022125.4722823.519524.693589
35–39 60419.59161020.8617319.8313615.7018819.397218.542783
40–44 2498.096258.09849.57627.12969.91297.451145
45–49 491.591261.63212.36202.35212.17102.57247
Mother's level of
education
 
No education311.01240.31323.7091.01101.00215.35127
Primary72123.40198825.7625028.5826930.9826026.758722.523575
Secondary 178257.81473961.4044550.9447955.1750652.1420853.848160
Higher 54817.7896712.5314716.7811212.8519520.107118.292039
Mother’s occupation 
Working 168454.63359046.5155964.0044851.6354355.9622859.127053
Not working139945.37412953.4931536.0042048.3742744.0415840.886847
Age of spouse in year 
11–20230.74420.5480.8991.0490.9061.4896
21–30 82926.90216928.1024427.8725829.6730731.6112933.463936
31–40 155750.50372548.2643549.8041247.4243845.1517745.916744
41–50 60619.66162721.0816418.7815918.3018418.966216.062802
51–60 632.041461.89222.53303.42262.72112.92298
61–70 40.12110.1410.1310.1560.5710.1723
71–8010.0400.0000.0000.0010.0800.002
Spouse's level of
education
 
No education210.67460.60303.45111.29141.49153.77137
Primary 78625.50214027.7226630.3826730.7432433.438120.983864
Secondary 186560.51456459.1443049.2049056.4347849.2323059.658058
Higher 41013.3196812.5514816.9710011.5515415.856015.601841
Spouse’s occupation 
Working 307299.65767399.4186598.9386599.5596499.3337697.3213815
Not working 110.35450.5991.0740.4560.67102.6886
Total 3083 100.007718 100.00874 100.00869 100.00970 100.00386 100.0013901

In multivariate analysis, the participants who live in the Central of Indonesia utilised PNC services 2.54 times more than the participants who live in the Western of Indonesia (OR = 2.54; 95% CI = 1.77-3.65). The participants who live in the Eastern of Indonesia had 0.71 fewer odds than participants in Indonesia’s Western (OR = 0.71; 95% CI = 0.52-0.96). The participants who live in Java were 1.46 times more likely to use PNC services (OR = 1.46; 95% CI = 1.26-1.69) compared to participants living in Sulawesi (OR = 0.53; 95% CI = 0.35-0.80). (Table 4). Details of the results of multivariate analysis shown in Table 4.

Table 4. Binary logistic regression of PNC utilisation among mothers aged 15–49 years old in Indonesia based on geographical location.

VariableThe use of PNC
POR95% CI
lowerupper
Indonesia
Western IndonesiaRef. 1.0
Central Indonesia0.00***2.541.773.65
Eastern Indonesia0.03*0.710.520.96
Region
SumateraRef. 1.0
Java0.00***1.461.261.69
Bali & Nusa Tenggara0.007**0.570.380.86
Kalimantan0.007**0.660.480.89
Sulawesi0.002**0.530.350.80
Maluku & PapuaOmitted

*p<0.05; **p<0.01; ***p<0.001.

Table 5 reveals the middle category women based on wealth index had PNC service’s utilization increased by 1.25 greater odds (OR = 1.25; 95% CI = 1.07-1.47) more than the richer category mothers (OR = 1.23; 95% CI = 1.04-1.45). Participants who thought that access to the health facility was not a problem had an odds ratio of 1.29 greater than participants who considered access to the health facility to be a major problem in using PNC service (OR = 1.29; 95% CI = 1.10-1.51). Mothers having children aged three months had used PNC service 1.43 times (OR = 1.43; 95% CI = 1.23-1.66) more than mothers with children aged four months (OR = 1.30; 95% CI = 1.12-1.51). Mothers who had a second child had utilized PNC service 0.88 times (OR = 0.88; 95% CI = 0.78-0.99) more than mothers who had a third child (OR = 0.86; 95% CI = 0.74-0.99). Mothers who had higher education had 2.11 times the chance to utilize PNC visits (OR = 2.11; 95% CI = 1.24-3.59) compared to those with lower-level education (OR = 1.80; 95% CI = 1.09-2.98). Mothers with spouse’s aged 41–50 had a higher chance of utilization PNC visits (OR = 2.18; 95% CI = 1.31-3.63) compared to mothers with spouse’s aged 31–40 (OR = 2.07; 95% CI = 1.26-3.40). Details of the results of a multivariate analysis shown in Table 5.

Table 5. Binary logistic regression of PNC utilisation among mothers aged 15–49 years old in Indonesia.

VariableThe use of PNC
POR95% CI
lowerupper
Wealth quintile
Poorest Ref. 1.0
Poorer 0.071.150.991.35
Middle 0.007**1.251.071.47
Richer 0.017*1.231.041.45
Richest 0.861.020.851.22
Access to the health
facility
DifficultRef. 1.0
Not0.001**1.291.101.51
Age of child (in month)
Less than one month Ref. 1.0
One month0.061.130.991.28
Two months0.111.110.981.26
Three months0.00***1.431.231.66
Four months 0.001**1.301.121.51
Birth rank
First childRef.1.0
Second 0.04*0.880.780.99
Third0.04*0.860.740.99
Fourth and more0.00***0.680.580.81
Mother’s level of
education
No educationRef. 1.0
Primary0.02*1.801.092.98
Secondary 0.03*1.771.062.96
Higher 0.006**2.111.243.59
Mother’s occupation
Working Ref. 1.0
Not working0.007**0.870.790.96
Age of spouse in year
11–20 Ref. 1.0
21–30 0.016*1.831.123.00
31–40 0.004**2.071.263.40
41–50 0.003**2.181.313.63
51–60 0.061.730.973.07
61–70 0.172.190.726.68
71–80Omitted
Spouse’s level of
education
No educationRef. 1.0
Primary 0.981.010.671.51
Secondary 0.501.150.761.74
Higher 0.481.170.761.83

*p<0.05; **p<0.01; ***p<0.001.

Discussion

This study aimed to examine the gap across the region in Indonesia for PNC utilisation among mothers aged 15–49 years old using the 2017 IDHS data sets. PNC has been the primary strategy to improve maternal health outcomes to reduce the high maternal mortality deaths in Indonesia. Therefore, assessing the regional disparities in PNC may provide evidence for the government to resolve discrepancies in maternal services in Indonesia. This study demonstrated that the prevalence of PNC service utilisation among mothers aged 15–49 years was 70.94%. This finding was higher than other research in Sub-Saharan Africa and Ethiopia with Abebo & Tesfaye (2018) and Tessema et al. (2020), respectively finding that 47.9% and 52.48% of women had used PNC service. An intertwined complex factor, such as the health system, maternal health policies, and socio-cultural variations across countries, may hinder women’s use of the PNC service.

Among the geographic groups analysed in this study, mothers who settled in the Central of Indonesia had increased odds of using PNC service, while those who lived in the Eastern of Indonesia had decreased odds. Similarly in Ethiopia (Sisay et al., 2019), the geographic factor is correlated to the utilisation of PNC service due to the region's level of development and location. Evidence in Indonesia shows that the socio-economic development, such as industrial, housing, public transportation, road facilities and health facilities in the Eastern Indonesia, lagged compared to the Western of Indonesia (Ministry of Health Republic of Indonesia, 2018; Soewondo et al., 2019; Suparmi et al., 2018). Therefore, it is a call of action to provide equality in developing human resources and infrastructure to reduce the possibility of gaps.

Additionally, mothers who live in Java are 1.46 times more likely to use PNC services than mothers who live in Sulawesi where they are 0.53 less likely to utilise PNC services. Java has dominance development compared to other islands because this island is the centre of the Indonesian government (Laksono et al., 2020). The Java island oriented and centred development model has harmed maternal health outcomes in Indonesia (Bappenas, 2018). Natural resources, human resources and facilities must be equal throughout Indonesia, so the gap between islands could be minimised.

This study revealed that the wealth index was significantly linked to PNC service utilisation among mothers aged 15–49 years old in Indonesia. Mothers from the middle households based on the wealth index had PNC service’s utilisation increased by 1.25 greater odds (OR = 1.25; 95% CI = 1.07-1.47) more than the richer mothers (OR = 1.23; 95% CI = 1.04-1.45). However, earlier research is done in Pakistan, Ethiopia, and Tanzania, revealed where mothers from the richer wealth quintile were significantly associated with the utilisation of PNC services (Berhe et al., 2019; Mohan et al., 2017; Yunus et al., 2013). The odds ratio was quite similar between middle and richer households as shown on this study. Additionally, the previous study in other parts of Ethiopia demonstrated that sociodemographic factors, such as income, did not correlate with the use of PNC services (Angore et al., 2018). Mothers from richer households were more likely to access the PNC services. Ownerships of consumer goods at home, such as motorcycles and cars, may increase the risk at ease transportation, making them have no strain to access the health facility.

The present study showed that access to the health facility was correlated to PNC service in Indonesia. With mothers who thought that access to the health facility was not a problem, they had an odds ratio of 1.29 greater in using PNC service than mothers who considered access to the health facility difficult. Previous research conducted in Malawi has found a significant association between the health facility and the utilisation of PNC services. Other Ethiopia studies have demonstrated that physical accessibility plays an essential variable in health service utilisation (Kim et al., 2019; Tarekegn et al., 2014). Access to the health facility is related to the costs incurred, which is influenced by having transportation to the health facility, which is considered expensive. Long and shorter distances, better roads, and better public transportation may increase access to the health facility, primarily in Indonesia, with its massive gaps in development across the country (Bappenas, 2018).

In this study, mothers having children aged three months increased the likelihood to use PNC services about 1.43 times (OR = 1.43; 95% CI = 1.23-1.66) more than mothers with children aged four months (OR = 1.30; 95% CI = 1.12-1.51). A similar study in Nepal showed that PNC service utilisation in the early postnatal period was most likely due to the motherhood transition period (Sanjel et al., 2019). The possible reason could be that mothers with fewer children, and younger children, may want information and be petrified of complications during the postnatal period. In the Indonesia setting, the first neonatal examination (KN1) is carried out at 6–48 hours after the baby is born, which is at the same time for the first PNC visit (KF1). The second neonatal examination (KN2) is carried out between 3–7 days with the second PNC visit (KF2). The third neonatal examination (KN3) occurs alongside the third PNC visit (KF3), which is between 8–28 days after birth (Ministry of Health Republic of Indonesia, 2018).

Also, mothers who have second child had a 0.88 times likelihood to utilize PNC service (OR = 0.88; 95% CI = 0.78-0.99) than mothers having a third child (OR = 0.86; 95% CI = 0.74-0.99). Some studies in Ethiopia and India showed that the higher the child's birth order, the lower the utilisation of PNC services (Ali & Chauhan, 2020; Sisay et al., 2019). A possible reason could be that mothers who had more children were more likely experienced in motherhood and had appropriate knowledge from previous maternal experiences and childcare, hence restraining PNC service.

This study revealed that mothers who hold higher education qualifications have 2.11 times the chance of utilising PNC visits (OR = 2.11; 95% CI = 1.24-3.59) compared to those with lower-level education (OR = 1.80; 95% CI = 1.09-2.98). Earlier research in Ethiopia showed that a mother's education was significant to PNC utilisation (Tarekegn et al., 2014). The possible reason could be that educated women have a greater opportunity to be informed and are more aware of seeking advice and treatment from skilled healthcare personnel than uneducated women.

This study demonstrated that the spouse's age was significantly linked to the utilisation of PNC among mothers aged 15–49 years in Indonesia. Mothers who have spouses aged 41–50 have a higher chance of utilising PNC visits than mothers who have spouses aged 31–40. Similarly, in India showed that the spouse's age was associated with PNC's wives' service (Jungari & Paswan, 2019). Spouse's autonomy and power in decision-making regarding wive's needs, including their health care needs, remained persistent. The spouse's age may be linked to the level of maturity and primary controller, which exacerbates their wives' access to the health service (Jungari & Paswan, 2019; Sekine & Carter, 2019).

To the best of our knowledge, this is the first study to examine the gaps across the region in utilisation PNC service among mothers aged 15–49 years old in Indonesia, which is one of a country in Southeast Asia that contribute to the global burden of maternal mortality rates in the world. The strengths of our study that we utilised the national and provincial data representatives, which internationally standardised. However, we also note some limitations. The IDHS data analysed in this study was collected using the cross-sectional method and mother’s recall preceding survey prone to the possibility of bias information.

Conclusion

This study reveals the gap across the region for PNC utilisation among mothers aged 15–49 years old in Indonesia. This study's findings provide evidence to complete the bigger picture for the government to resolve discrepancies in maternal services in Indonesia. The results suggest the need for national policy focuses on service equality, accessible, and reliable implementation to improve postnatal care utilisation among mothers to achieve the maximum results for the Indonesian Universal Health Coverage plan. Future research should explore the interregional gaps and factors that cause maternal health service utilisation by using a different platform.

Data availability

Data used in this study is available online from the Indonesian 2017 Demographic and Health Survey (DHS) website under the DHS VII recode column. Access to the dataset requires registration and is granted only for legitimate research purposes. A guide for how to apply for dataset access is available at: https://dhsprogram.com/data/Access-Instructions.cfm. Other researchers will be able to access the data set in the same way as the authors and the authors do not have special access rights that others do not have.

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Cahyono MN, Efendi F, Harmayetty H et al. Regional disparities in postnatal care among mothers aged 15-49 years old: An analysis of the Indonesian Demographic and Health Survey 2017 [version 2; peer review: 2 approved]. F1000Research 2021, 10:153 (https://doi.org/10.12688/f1000research.50938.2)
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
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Reviewer Report 29 Jul 2021
Kusrini S. Kadar, Faculty of Nursing, Universitas Hasanuddin, Makassar, Indonesia;  School of Nursing and Midwifery, La Trobe University, Melbourne, Vic, Australia 
Approved
VIEWS 23
This is a very interesting study providing information of the utilization of PNC services in Indonesia. The authors have described the gaps across the region clearly. We can see which regions in Indonesia utilized more PNC service as well as ... Continue reading
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Kadar KS. Reviewer Report For: Regional disparities in postnatal care among mothers aged 15-49 years old: An analysis of the Indonesian Demographic and Health Survey 2017 [version 2; peer review: 2 approved]. F1000Research 2021, 10:153 (https://doi.org/10.5256/f1000research.54033.r89395)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 16 Aug 2021
    Ferry Efendi, Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia
    16 Aug 2021
    Author Response
    1. We appreciate the reviewer’s positive feedback and recommendations. We have added in the title the year of the survey as suggested. It would now read “Regional disparities in postnatal ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 16 Aug 2021
    Ferry Efendi, Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia
    16 Aug 2021
    Author Response
    1. We appreciate the reviewer’s positive feedback and recommendations. We have added in the title the year of the survey as suggested. It would now read “Regional disparities in postnatal ... Continue reading
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32
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Reviewer Report 16 Mar 2021
Asmaa Salah Eldin Mohamed Saleh, Community Health Nursing, Beni Suef University, Cairo, Egypt 
Approved
VIEWS 32
Hello, best greeting - It is my pleasure to review this article, thanks to the editors and authors.

I found this article was written in good condition by following the scientific rules for writing and I found ... Continue reading
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Saleh ASEM. Reviewer Report For: Regional disparities in postnatal care among mothers aged 15-49 years old: An analysis of the Indonesian Demographic and Health Survey 2017 [version 2; peer review: 2 approved]. F1000Research 2021, 10:153 (https://doi.org/10.5256/f1000research.54033.r80365)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 16 Aug 2021
    Ferry Efendi, Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia
    16 Aug 2021
    Author Response
    1. We thank the reviewer for the thoughtful review of our manuscript. The term mentioned in the article, which is Java, has been complete and corrected.
       
    ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 16 Aug 2021
    Ferry Efendi, Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia
    16 Aug 2021
    Author Response
    1. We thank the reviewer for the thoughtful review of our manuscript. The term mentioned in the article, which is Java, has been complete and corrected.
       
    ... Continue reading

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Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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