Skip to main content
Erschienen in: BMC Women's Health 1/2017

Open Access 01.12.2017 | Research article

Levels, trends and correlates of unmet need for family planning among postpartum women in Indonesia: 2007–2015

verfasst von: Siswanto Agus Wilopo, Althaf Setyawan, Anggriyani Wahyu Pinandari, Titut Prihyugiarto, Flourisa Juliaan, Robert J. Magnani

Erschienen in: BMC Women's Health | Ausgabe 1/2017

Abstract

Background

Although Indonesia has relatively high contraceptive prevalence, postpartum family planning (PP-FP) has not been a particular point of emphasis. This article reports the results of analyses undertaken in order to (1) better understand levels and trends in unmet need for family planning among postpartum women, (2) assess the extent to which unmet need is concentrated among particular population sub-groups, and (3) assess the policy priority that PP-FP should have in relation to other interventions.

Methods

The analyses were based on data from the 2007 and 2012 Indonesia Demographic and Health Surveys (IDHS) and the 2015 PMA2020 survey. Postpartum contraceptive use and unmet need were analyzed for fecund women who had given birth in the 3–5 years of preceding the respective surveys who were in the extended postpartum period at the time of the respective surveys. Factors associated with contraceptive use and unmet were assessed via multivariable logistic regressions using merged data from all three surveys. A wide range of biologic, demographic, socio-economic, geographic and programmatic factors were considered.

Results

Contraceptive use during the extended postpartum period is high in Indonesia, with more than 74% of post-partum women reporting currently using a family planning method in the 2015 PMA2020 survey. This is up from 68% in 2007 and 70% in 2012. Total unmet need was 28% in 2007, falling slightly to 23% in 2012 and 24% in 2015. However, the timing of contraceptive initiation is less than optimal. By six months postpartum, only 50% of mothers had begun contraceptive use. Unmet need was highest among older women, women with 4+ children, with limited knowledge of contraceptive methods, making fewer ANC visits, from poor families and residents of islands other than Java and Bali.

Conclusion

Unmet need for family planning among postpartum women in Indonesia is low in comparison with other low- and middle-income countries. However, because of limited durations of exclusive breastfeeding, many Indonesian women do not initiate contraception early enough after delivering children. Given already high contraceptive prevalence, targeting postpartum women for increased programmatic attention would seem strategically prudent.
Abkürzungen
ANC
Antenatal Care
AOR
Adjusted Odds Ratio
BMGF
Bill and Melinda Gates Foundation
EPP
Extended Postpartum Period
FP
Family Planning
FP2020
Family Planning 2020
IDHS
Indonesia Demographic Health Survey
IUD
Intra Uterine Device
JHU
John Hopkins University
JKN
National Health Insurance
LAM
Lactational Amenorrhea Method
LARC
Longer Acting Reversible Methods
MCH
Maternal and Child Health
mCPR
Modern Contraceptive Prevalence Rate
OR
Odds Ratio
PMA2020
Performance Monitoring and Accountability 2020
PP-FP
Postpartum Family Planning
RPJMN
Rencana Pembangunan Jangka Menegah Nasional (Medium Term Development Plan)
SDGs
Sustainable Development Goals

Background

After years of relative neglect, Postpartum Family Planning is currently receiving considerable global attention, most notably (but not exclusively) in connection with the global FP2020 initiative [14]. About one-quarter of inter-birth intervals in low- and middle-income countries are less than 24 months in length [5], thus exposing infants to risks of prematurity, low birthweight, and death, and exposing mothers to anemia, puerperal endometritis, premature rupture of membranes, and death [6, 7]. Inter-pregnancy intervals shorter than 18 months and longer than 59 months have been linked to increased risk of adverse perinatal outcomes [8]. Spacing pregnancies appropriately would help prevent such adverse perinatal outcomes [9].
From a programmatic view, period of postpartum is an appropriate time to provide birth planning education for women who delivered baby at the health care facility or had antenatal preceding child birth. Postpartum family planning interventions are premised on the assumptions that (1) demand for pregnancy prevention is particularly great following childbirth and (2) provision of services before discharge or at post-natal visits would be cost-effective. Postpartum family planning addresses the needs of those who wish to have children in the future or to space their pregnancy, as well as those who have reached their desired family size and wish to avoid future pregnancies or limit their number of children. Postpartum women are among those with the greatest unmet need for family planning. Yet they often do not receive the services they need to support longer birth intervals or reduce unintended pregnancy and its consequences. Research has shown that postpartum family planning can make significant contributions to efforts reduce unmet need, prevent unwanted pregnancies and increase birth spacing, all of which ultimately will increase maternal and child survival [1013]. In view of this, it is entirely logical that countries seeking to more effectively help women and couples achieve their reproductive aspirations and improve maternal and child health outcomes would take a fresh look at postpartum family planning.
However, implementing postpartum family planning presents number of challenges. The period after delivery is challenging time during which a woman has to care for her newborn child as well as cope with cultural, emotional and physical changes. Beyond socio-cultural issues, insufficient integration of family planning with ante-natal care (ANC) services in many settings appears to be a formidable obstacle remaining to be overcome. There have been many successful and unsuccessful initiatives to integrate between family planning with maternal and child health services [7, 1214]. Previous studies in Burkina Faso, Nepal, Senegal and Uganda indicate that even where family planning and ANC services are formally integrated, family planning topics are either rarely discussed during maternal and child health (MCH) consultations or are of little interest to postpartum women [1517].
As in many other countries, Indonesia is engaging in the discussion regarding the need to strengthen postpartum family planning. In Indonesia, the need for universal access to reproductive health has been recognized as an essential global Sustainable Development Goal (SDG) target for 2030, an initiative to which the Government of Indonesia is committed [18]. On a more pragmatic level, the discussion about postpartum family planning in Indonesia is taking place in the context of assessing what can be done to revive stagnating growth in the modern of contraceptive prevalence rate (mCPR) and, as suggested by data from the most recent Performance Monitoring Accountability 2020 (PMA2020) survey in 2015, may be rising levels of unmet need for modern contraception compared to Indonesian Demographic Health Survey (IDHS) 2007 and 2012 [1921]. Family planning in Indonesia is still undergoing a transition following government decentralization in the early 2000’s. Accompanying this transition has been a the emergence of significant differences in levels of government support for family planning across provinces and districts, as well as a significant rise in the private sector market share of family planning services and supplies. These developments have had significant implications for the manner in which family planning services are provided [22].
There is thus a clear need for further systematic study of postpartum family planning in the Indonesian context in order to (1) better understand levels and trends in unmet need among postpartum women, (2) assess the extent to which unmet need for postpartum family planning is concentrated among particular population sub-groups, and (3) assess the policy priority that postpartum family planning should have in relation to other interventions. This article reports the results of analyses undertaken to address the above points.

Methods

The data used in the study consisted of samples of married women reporting recent births extracted from 2007 and 2012 Indonesia Demographic and Health Surveys (IDHS) and the 2015 Indonesia PMA2020 survey [1921, 23]. Both the IDHS and the PMA2020 are nationally representative surveys of households and women of reproductive age (i.e., 15–49 years) based on stratified, multi-stage, cluster sample designs. All surveys were stratified by urban-rural, and the two IDHS by province as well. Household and individual female response rates were high in all surveys: 99% and 96% in the two IDHS, and 94% and 91% in the PM2020 survey.
Table 1 documents the numbers of sample households and married women of reproductive age selected in the respective surveys. Further analyses will be based on women who had delivered babies during the five (5) years before the two IDHS and in the three (3) years prior to PMA2020 data collection, and among these women that had not yet completed the extended postpartum period (i.e., 24 months) following the reference delivery at the time of the respective surveys. Background information on this group of women is also presented in the Table 1.
Table 1
Number of household, women age 15–49 interviewed, women giving births in the 3–5 years before the survey dates and sample of women considered postpartum
Sample Data
IDHS 2007
IDHS 2012
PMA-2020 2015
Total sample weighted
 
N
%
N
%
N
%
N
%
Total households interviewed
 Rural
24,477
60.1
22,986
52.4
5617
47.9
53,080
55.1
 Urban
16,224
39.9
20,866
47.6
6109
52.1
43,199
44.9
 Total
40,701
100.0
43,852
100.0
11,726
100.0
96,279
100.0
Married women age 15–49 interviewed
 Rural
12,662
41.5
16,224
49.2
3946
50.5
32,833
46.0
 Urban
17,835
58.5
16,772
50.8
3870
49.5
38,476
54.0
 Total
30,497
100.0
32,996
100.0
7816
100.0
71,309
100.0
Married women giving birth in three years preceding survey
 Rural
4006
41.5
4991
49.6
1095
51.5
10,091
46.2
 Urban
5648
58.5
5072
50.4
1033
48.5
11,754
53.8
 Total
9654
100.0
10,063
100.0
2128
100.0
21,845
100.0
Sample Extended Postpartum (up to 24 months)
 Rural
2869
41.9
3530
49.0
711
50.2
7111
46.0
 Urban
3980
58.1
3678
51.0
704
49.8
8362
54.0
 Total
6849
100.0
7208
100.0
1415
100.0
15,473
100.0
Age Group
  < 20
374
5.5
432
6.0
82
5.8
888
5.7
 20–29
3665
53.5
3752
52.1
696
49.2
8113
52.4
  ≥ 30
2811
41.0
3024
41.9
638
45.1
6472
41.8
 Total
6849
100.0
7208
100.0
1415
100.0
15,473
100.0
Number of Children Even Born
 1
2444
35.7
2780
38.6
491
34.7
5715
36.9
 2
1947
28.4
2340
32.5
560
39.6
4847
31.3
 3
1223
17.9
1148
15.9
225
15.9
2596
16.8
 4+
1235
18.0
940
13.0
140
9.9
2314
15.0
 Total
        
Knowledge of Contraceptive Method
  < 4 methods
1296
18.9
1205
16.7
123
8.7
2624
17.0
  ≥ 4 methods
5546
81.1
6002
83.3
1292
91.3
12,840
83.0
 Total
6842
100.0
7207
100.0
1415
100.0
15,464
100.0
Place of Delivery a
 Home
3406
50
2207
30.6
5613
40
 Institutional
3413
50
5007
69.4
8420
60
 Total
6819
100
7214
100
14,033
100
Antenatal care (ANC) a
 None
277
4.1
203
2.8
480
3.4
 1
213
3.1
103
1.4
315
2.3
 2–3
748
10.9
539
7.5
1286
9.2
 4+
5596
81.9
6320
88.2
11,916
85.1
 Total
6833
100
7165
100
13,998
100
Visited by Family Planning Health Worker in the last 6 months
 No
6445
94.2
6708
93.1
1261
89.1
14,413
93.2
 Yes
400
5.8
494
6.9
154
10.9
1048
6.8
 Total
6845
100
7201
100
1415
100
15,461
100
Visited Health Care Facilities in the last 6 months
 No
2924
42.7
2305
32.0
344
24.3
5574
36.0
 Yes
3919
57.3
4899
68.0
1071
75.7
9889
64.0
 Total
6844
100.0
7204
100.0
1415
100.0
15,463
100.0
Sources of information from TV
 No
4989
72.6
3801
52.6
621
44.2
9368
60.7
 Yes
1884
27.4
3429
47.4
783
55.8
6070
39.3
 Total
6874
100
7230
100
1404
100
15,438
100
Sources of information from radio
 No
6216
90.4
6574
90.9
1293
92.1
14,019
90.8
 Yes
661
9.6
659
9.1
110
7.9
1424
9.2
 Total
6878
100
7233
100
1403
100
15,443
100
Sources of information from magazine or newspaper
 No
6055
88
6187
85.5
1144
81.6
13,325
86.3
 Yes
824
12
1049
14.5
258
18.4
2122
13.7
 Total
6879
100
7236
100
1402
100
15,447
100
Women Education Attainment
 None
165
2.4
141
2.0
10
0.7
317
2.0
 Primary
2645
38.6
2107
29.2
353
25.0
5105
33.0
 Secondary
3447
50.3
4001
55.5
877
62.0
8325
53.8
 Higher
592
8.6
958
13.3
175
12.3
1725
11.1
 Total
6848
100.0
7208
100.0
1415
100.0
15,472
100.0
Wealth Index
 Poorest
1458
21.3
1482
20.6
217
15.4
3158
20.4
 Poorer
1281
18.7
1504
20.9
251
17.8
3036
19.6
 Middle
1406
20.5
1399
19.4
339
23.9
3143
20.3
 Richer
1389
20.3
1461
20.3
300
21.2
3151
20.4
 Richest
1315
19.2
1362
18.9
308
21.7
2985
19.3
 Total
6849
100.0
7208
100.0
1415
100.0
15,473
100.0
Residence
 Urban
2869
41.9
3530
49.0
711
50.2
7111
46.0
 Rural
3980
58.1
3678
51.0
704
49.8
8362
54.0
 Total
6849
100.0
7208
100.0
1415
100.0
15,473
100.0
Region
 Java-Bali
3756
54.8
4006
55.6
863
61.0
8625
55.7
 Other island
3093
45.2
3203
44.4
553
39.0
6848
44.3
 Total
6849
100.0
7208
100.0
1415
100.0
15,473
100.0
a These variables are not available in the PMA2020 data
The first dependent or outcome variable for the analysis, contraceptive use, was obtained from questions in the contraception section of the individual woman’s questionnaires of the respective surveys. Women were asked the question: Are you or your partner currently doing something or using any method to delay or avoid getting pregnant? If a woman reported that she was using any method, she was further queried as to type of method being used. Respondents were classified as being non-users, users of modern methods or users of traditional method on the basis of the answers to these questions.
The second dependent variable, postpartum unmet need, was constructed from 21 questions related to pregnancy and birth history, sexual activity, fertility preferences, and contraceptive use. This variable consists of two categories: spacing and limiting. The classic indicator of unmet need [24], updated by S Bradley, TN Croft, JD Fishel and CF Westoff [25], treats women as not in need of contraception as long as they remain amenorrhoeic for up to 24 months postpartum unless their last birth was unintended. This tends to underestimate unmet need for women whose last birth was intended but who want to avoid another pregnancy in the near future. In response, several revised “retrospective” and “prospective” definitions have been proposed, the relative merits of which are assessed in previous article [16] . We used the MR Borda, W Winfrey and C McKaig [26] definition of the “extended postpartum period - EPP” (i.e. 24 months) in the study. This definition will tend to overestimate unmet need in populations where exclusive breastfeeding is practiced for six months or more. In Indonesia, while a high proportion of newborns are ever breastfed (96%) [20], the duration of exclusive breastfeeding tends to be relatively short. Only 51% of births occurring in the five years prior to the 2012 IDHS were exclusively breastfed for one month, and only 3.4% were exclusively breastfed during months 6–7 was [20]. Thus, an unmet need definition that assumes limited protection from postpartum amenorrhea is sensible in the Indonesian context. Because of this limited protection provided by breastfeeding, the timing of initiating contraceptive use is important, and accordingly our analyses focus on contraceptive use and unmet need during four postpartum intervals: 2 months or less, at 6 months, at 12 months, and at 24 months.
In addition to assessing levels, trends and patterns of postpartum contraceptive use and unmet need, multivariable logistic regression techniques were used to assess the net associations of each of independent variable considered in the study with contraceptive use and unmet need during the extended postpartum period. The independent variables were selected for inclusion in the analysis based on their significance in previous studies of contraceptive behavior or on their hypothesized association with contraceptive use or unmet need for family planning. Our independent variables consisted of biologic, demographic, socio-economic, cultural, geographic and programmatic factors. The biologic and demographics variables are represented by age of women and number of their children (parity). Socio-economic variables comprise level of education and wealth index, while cultural variables relate to knowledge of contraceptive methods and their sources of information either from television, radio or magazine and newspaper. Women are also differentiated according to their residency (out site or within Java or Bali Islands) and urban-rural places. The programmatic variables cover number of antenatal care (ANC) frequency, place of delivery (home or at health institution), history of visiting health care facilities in the last 6 months, and visits by FP/health workers in the last 6 months. It should be noted that the data on place of delivery and ANC frequency are not available in the 2015 PMA2020 data. This incomparability of data will limit our modelling presented in this study.
Descriptive analyses were first undertaken to examine the distribution of possible determinants (explanatory variables) according to contraceptive uses and unmet need during extended postpartum period. Associations between the use of contraceptives and unmet need during the extended postpartum period on the one hand and the explanatory variables were assessed via simple logistic (bivariable associations) and multiple logistic regression (net associations). These associations were assessed based upon the size of odds ratios (OR) before and after adjustment. Best models between the independent variables were assessed by removing non-significant variables from the logistic models. The STATA version 15.0 software package was used to undertake the analyses [27].
Analyses were initially undertaken for each the respective data set, and then of a combined, weighted data set consisting of the data from all three surveys. Standardized weights were applied based upon the sample weights in the respective data sets [1921]. In the multivariable analyses of the merged data set, we included a variable for “survey round” to control for possible unobserved secular and/or survey-specific influences.

Results

Respondent background characteristics by survey year and in the merged data set were provided in Table 1. In the merged data set, a small majority of respondents lived in rural areas (54%) and on the islands of Java and Bali (56%). A plurality of respondents was 20–29 years of age and had borne either one or two children. The median education level was secondary school. About two-thirds had visited a health facility in the prior six months, 60% the reference births for the analyses were delivered at a health facility, and 85% of births were preceded by four or more ANC service visits. Well over 80% of respondents were aware of four or more contraceptive methods.
It will be noted, however, that the merged data set masks important secular trends in some of these characteristics. Most notable among these are increases in the proportions of women who had visited health facilities on the previous six months, delivered at a health facility, made four-plus ANC visits, were aware of four or more contraceptive methods, and had attained secondary levels of education or higher. Increased proportions of respondents living in urban areas and on the islands of Java and Bali are also evident. The proportion of women with four or more live births appears to be in steady decline.
Figure 1 displays data on contraceptive use during the extended postpartum period by number of months since delivery (less than 2, 6, 12 and 24 months). Prevalence of contraceptive use during the postpartum period is high in Indonesia, with 68% of women reporting using a modern family planning method by the end of the extended postpartum period in the 2015 PMA2020 survey (Fig. 1-D). This is up from 65% in 2007, but slightly lower than the 69.5% estimate from the 2012 IDHS. It is noteworthy that this figure is higher than the 2015 PMA2020 mCPR estimate for all married women (60%). Traditional method use, including abstinence, was low in all surveys.
Adoption of contraception in the first two months postpartum is relatively infrequent (about 15% in 2015), although the 2015 PMA2020 survey data suggest that this may be increasing, perhaps indicating an uptick in postpartum family planning. Modern contraceptive use rises to around 50% by six months postpartum in the 2012 and 2015 data and 63% by 12 months postpartum in both surveys.
Survey results concerning levels of unmet need for family planning during the extended postpartum period are shown in Fig. 2. Total unmet need (spacing plus limiting) for the full extended postpartum period was 30.4% in 2007. This number declined to 26.0% in 2012, increasing slightly to 26.4% in 2015. In the first two months postpartum, unmet was 85.8% in 2007, falling slightly to 84.1% in 2012 and 75.5% in 2015 (Fig. 2-A). The decline is entirely accounted for by a reduction in the level of unmet need for limiting (from 37.2% in 2007 to 21.1% in 2015). In postpartum months 0–24 (Fig. 2-D), unmet need was 30.4% in 2007, falling to about 26.0% in both 2012 and 2015, again accounted for by a decline in unmet for limiting (from 12.9% in 2007 to 8.3% in 2015). Unmet need for spacing was consistently higher than unmet need for limiting. The level of unmet declines steadily over the postpartum period and as contraception is adopted, with no apparent trend over time except during the first two months postpartum, where unmet need appears to be on the rise.
With regard to contraceptive method mix among contraceptive adopters during the extended postpartum period, injectable was by far the most popular method, accounting for over 60% of the method mix in all three surveys (Fig. 3). Oral contraceptives were the second most popular method at 13–19% depending upon survey, with a declining trend except for during the first two months postpartum. These two methods jointly account for almost 80% of the postpartum method mix in all three surveys. The skewed postpartum method mix favoring short-term methods mimics that among all contraceptive users in Indonesia [1820]. Male family planning users (condom use and vasectomy) remain infrequent. Formal use of the lactational amenorrhea method (LAM), withdrawal, abstinence and other traditional methods are rare in Indonesia. It should be noted that tubectomy and IUD use are as share of method mix the most common in the less than two months postpartum period, perhaps reflecting recent efforts to promote longer-term methods as part of postpartum family planning efforts.
In order to examine factors associated with postpartum use of contraceptives and unmet need for family planning, bivariate and multivariable logistic regressions were undertaken. As described in the Methodology section of this article, analyses were undertaken of each survey data set individually and then of a merged data set. As the analyses of the separate survey data files and the merged data set yielded similar and consistent results, only the results of the analyses of the merged data set are presented here. The results after the removal of factors that were not associated with postpartum contraceptive use and unmet need in bivariate analyses are shown in Tables 2 and 3, respectively. Both crude and adjusted odds-ratios (ORs), along with 95% confidence intervals for both, are shown in the tables.
Table 2
Unadjusted (model 1) and adjusted (model 2--4) odds ratios determinants of use of modern contraceptives among women at extended postpartum total sample
 
Model 1
Model 2++
Model 3
Model 4
Modern Contraceptive Use
Age Group
   < 20
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  20–29
0.92 (0.79,1.06)
0.79** (0.67,0.94)
0.80** (0.68,0.93)
0.80** (0.68,0.93)
   > =30
0.73*** (0.63,0.85)
0.62*** (0.52,0.75)
0.65*** (0.55,0.78)
0.65*** (0.55,0.78)
Number of Children Even Born
  1
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  2
1.28*** (1.18,1.39)
1.40*** (1.27,1.55)
1.38*** (1.26,1.51)
1.38*** (1.26,1.51)
  3
1.07 (0.97,1.18)
1.29*** (1.14,1.46)
1.26*** (1.12,1.41)
1.26*** (1.12,1.41)
  4+
0.65*** (0.59,0.71)
0.94 (0.82,1.07)
0.87* (0.77,0.99)
0.87* (0.77,0.98)
Knowledge of Contraceptive Method
   < 4 methods
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
   > =4 methods
1.78*** (1.65,1.93)
1.41*** (1.28,1.56)
1.53*** (1.40,1.68)
1.54*** (1.41,1.69)
Place of Delivery $
  Non- institutional (home)
1 (1,1)
1 (1,1)
  Institutional
1.28*** (1.19,1.37)
0.92 (0.84,1.01)
  
Antenatal care (ANC) $
  None
1 (1,1)
1 (1,1)
  1
1.83*** (1.42,2.36)
1.51** (1.16,1.96)
  
  2–3
2.39*** (1.99,2.86)
1.92*** (1.59,2.33)
  
  4+
3.85*** (3.29,4.51)
2.77*** (2.33,3.30)
  
Visited by Family Planning Health Worker in the last 6 months
  No
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
1.06 (0.93,1.21)
1.05 (0.90,1.21)
1.06 (0.93,1.22)
 
Visited Health Care Facilities in the last 6 months
  No
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
1.23*** (1.15,1.31)
1.04 (0.96,1.12)
1.09* (1.01,1.17)
 
Sources of information from TV
  No
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
1.29*** (1.20,1.38)
1.09 (1.00,1.19)
1.14** (1.05,1.24)
1.13** (1.05,1.23)
Sources of information from radio
  No
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
0.95 (0.85,1.07)
0.93 (0.81,1.06)
0.90 (0.80,1.02)
 
Sources of information from magazine or newspaper
  No
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
0.90* (0.82,0.99)
0.82*** (0.73,0.92)
0.81*** (0.73,0.91)
0.81*** (0.72,0.90)
Women Education Attainment
  No education
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Primary
2.84*** (2.32,3.46)
1.55*** (1.24,1.93)
1.96*** (1.59,2.41)
1.98*** (1.61,2.44)
  Secondary
3.32*** (2.73,4.05)
1.40** (1.11,1.75)
1.77*** (1.43,2.19)
1.79*** (1.45,2.22)
  Higher
2.19*** (1.77,2.70)
0.93 (0.72,1.20)
1.13 (0.89,1.43)
1.14 (0.90,1.45)
Wealth Index
  Poorest
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Poorer
1.74*** (1.58,1.91)
1.45*** (1.30,1.62)
1.52*** (1.38,1.69)
1.53*** (1.38,1.70)
  Middle
1.85*** (1.67,2.04)
1.46*** (1.29,1.65)
1.57*** (1.40,1.76)
1.57*** (1.40,1.76)
  Richer
1.78*** (1.61,1.96)
1.44*** (1.26,1.65)
1.54*** (1.36,1.74)
1.55*** (1.37,1.74)
  Richest
1.48*** (1.33,1.63)
1.32*** (1.14,1.54)
1.38*** (1.21,1.59)
1.39*** (1.21,1.59)
Residence
  Urban
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Rural
0.87*** (0.81,0.93)
1.12** (1.03,1.23)
1.10* (1.02,1.19)
1.11* (1.02,1.20)
Region
  Other Islands
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Java-Bali
1.58*** (1.46,1.71)
1.33*** (1.21,1.46)
1.37*** (1.25,1.49)
1.38*** (1.26,1.50)
Source of Data
  IDHS 2007
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  IDHS 2012
1.22*** (1.14,1.30)
1.21*** (1.12,1.30)
1.22*** (1.13,1.31)
1.23*** (1.14,1.32)
  PMA 2015
1.19** (1.06,1.35)
0.96 (0.85,1.10)
0.99 (0.87,1.12)
  Pseudo R 2
 
0.046
0.038
0.038
  AIC
 
17,345.1
19,453.7
19,485.2
  df_m
 
25
22
19
  Observations
15,414 $
13,857
15,415
15,433
++Model 2 excluded data PMA 2015 so the sample size smaller than other models
Exponentiated coefficients; 95% confidence intervals in brackets
Likelihood Ratio (LR) from Akaiki (AIC),
df_m = Degrees of freedom of the model,
$Since the PMA 2015 survey did not collect information on place of delivery or receipt of ANC services, the sample size for these variables was only 13,944
* p < 0.05
** p < 0.01
*** p < 0.001
Table 3
Unadjusted (model 1) and adjusted (model 2--4) odds ratios determinants of unmet need of family planning among women at extended postpartum total sample
 
Model 1
Model 2
Model 3
Model 4
Unmet Need for Modern Contraceptive Use
Age Group
   < 20
1 (1,1)
1 (1,1)
1 (1,1)
  20–29
1.00 (0.86,1.17)
1.13 (0.95,1.34)
1.12 (0.95,1.31)
   > =30
1.18* (1.01,1.38)
1.24* (1.02,1.51)
1.18 (0.99,1.42)
Number of Children Even Born
  1
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  2
0.84*** (0.77,0.92)
0.80*** (0.72,0.89)
0.82*** (0.75,0.91)
0.85*** 0.77,0.93)
  3
1.03 (0.93,1.14)
0.92 (0.81,1.05)
0.96 (0.85,1.09)
1.01 (0.91,1.13)
  4+
1.63*** (1.48,1.80)
1.25** (1.09,1.43)
1.35*** (1.19,1.54)
1.45*** (1.31,1.60)
Knowledge of Contraceptive Method
   < 4 methods
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
   > =4 methods
0.54*** (0.50,0.59)
0.72*** (0.65,0.80)
0.66*** (0.60,0.72)
0.66*** (0.60,0.73)
Place of Delivery
  Non- institutional
1 (1,1)
1 (1,1)
  Institutional
0.68*** (0.63,0.73)
0.97 (0.89,1.07)
  
Antenatal care ANC)
  None
1 (1,1)
1 (1,1)
  1
0.66** (0.52,0.85)
0.75* (0.58,0.98)
  
  2–3
0.51*** (0.42,0.60)
0.60*** (0.50,0.73)
  
  4+
0.30*** (0.25,0.34)
0.42*** (0.36,0.50)
  
Visited by Family Planning Health Worker in the last 6 months
  No
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
0.96 (0.84,1.11)
1.01 (0.86,1.18)
0.96 (0.83,1.10)
 
Visited Health Care Facilities in the last 6 months
  No
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
0.85*** (0.79,0.91)
1.02 (0.94,1.11)
0.97 (0.90,1.05)
 
Sources of information from TV
  No
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
0.76*** (0.70,0.82)
0.92 (0.84,1.02)
0.91* (0.83,0.99)
0.91* (0.84,0.99)
Sources of information from radio
  No
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
0.96 (0.85,1.08)
1.04 (0.90,1.19)
1.04 (0.91,1.19)
 
Sources of information from magazine or newspaper
  No
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Yes
0.99 (0.89,1.09)
1.19** (1.04,1.35)
1.21** (1.07,1.36)
1.21** (1.08,1.36)
Women Education Attainment
  No education
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Primary
0.49*** (0.40,0.59)
0.88 (0.71,1.10)
0.70*** (0.57,0.86)
0.70*** (0.57,0.85)
  Secondary
0.38*** (0.31,0.46)
0.91 (0.73,1.14)
0.73** (0.59,0.90)
0.73** (0.59,0.90)
  Higher
0.46*** (0.37,0.57)
1.20 (0.92,1.56)
0.99 (0.78,1.26)
1.01 (0.79,1.28)
Wealth Index
  Poorest
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Poorer
0.61*** (0.55,0.68)
0.75*** (0.67,0.84)
0.71*** (0.63,0.78)
0.71*** (0.64,0.79)
  Middle
0.54*** (0.49,0.60)
0.72*** (0.63,0.82)
0.66*** (0.58,0.74)
0.67*** (0.60,0.75)
  Richer
0.54*** (0.48,0.60)
0.71*** (0.62,0.82)
0.65*** (0.57,0.74)
0.67*** (0.59,0.76)
  Richest
0.57*** (0.51,0.64)
0.71*** (0.60,0.84)
0.66*** (0.57,0.77)
0.69*** (0.60,0.79)
Residence
  Urban
1 (1,1)
1 (1,1)
1 (1,1)
  Rural
1.27*** (1.18,1.36)
0.93 (0.85,1.03)
0.95 (0.87,1.04)
 
Region
  Other Islands
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  Java-Bali
0.68*** (0.62,0.74)
0.87** (0.79,0.97)
0.83*** (0.76,0.91)
0.83*** (0.76,0.91)
Source of Data
  IDHS 2007
1 (1,1)
1 (1,1)
1 (1,1)
1 (1,1)
  IDHS 2012
0.81*** (0.75,0.87)
0.84*** (0.78,0.91)
0.82*** (0.76,0.88)
0.82*** (0.76,0.88)
  PMA 2015
0.84** (0.73,0.95)
 
1.03 (0.90,1.18)
1.02 (0.89,1.17)
  Pseudo R 2
 
0.038
0.029
0.029
  AIC
 
15,872.6
17,787.3
17,808.5
  df_m
 
25
22
16
  Observations
 
13,857
15,415
15,433
Exponentiated coefficients; 95% confidence intervals in brackets
Likelihood Ratio (LR) from Akaiki, (AIC)
df_m = Degrees of freedom of the model,
^ Include PMA2020
^Not Include due to missing information in PMA2020
* p < 0.05
** p < 0.01
*** p < 0.001
Bivariate logistics regressions (Table 2, Model 1), which include the full set of explanatory factors considered in the analyses, reveal that a sizeable number of factors were significantly associated with contraceptive use during the postpartum period. These include age, children ever born, knowledge of contraceptive use (four methods or more), place of delivery, antenatal care for the most recent birth (ANC), visited health facilities in the last 6 months, source of information on contraception from several media outlets (television, magazines and newspapers, but not radio), educational attainment, wealth status, urban vs. rural residence and region (Java - Bali vs. other islands).
Factors that achieved statistical significance in the bivariate analyses were retained in the multiple logistic regressions, the results of the first of which are shown in Table 2, Model 2. Note that this model excludes PMA2020 2015 survey data since that survey did not measure place of delivery or antenatal care for the last birth. Three factors that were significant on the bivariate analyses drop out when the effects of other factors considered in the analyses are taken into account – place of delivery (facility vs. home), having visited a health facility in the last six months, and TV as a source of information on family planning. The lack of net association of place of delivery with postpartum contraceptive use is likely the result of its association with other variables under consideration (e.g., urban-rural residence, region, family wealth status, and perhaps receipt of ANC services), as well as the heretofore insufficient priority assigned to postpartum family planning in Indonesia. Among the four health services-related variables considered in the analyses, only number of ANC service visits made prior to the delivery of the reference birth remained significant when the effects of other factors were controlled. The association of postpartum family planning with number ANC visits suggests a dose-response relationship (at least up to four visits), with increasingly large adjusted ORs of having adopted a contraceptive method during the extended postpartum period with increasing number of ANC visits.
The other factors with the strongest net associations with postpartum contraceptive adoption were women’s age, number of children ever born (i.e., including the reference child), knowledge of four or more contraceptive methods, educational attainment, family wealth and residence on the islands of Java or Bali. Women in the both the 20–29 and 30+ age groups less likely to use contraceptives than women less than 20 years of age (AORs = 0.79 and 0.62, respectively). The results also indicate that the number of children ever born influence postpartum use of contraception. Women with 2–3 children are 1.3–1.4 times more likely to use contraceptives than women with one child, while women with four or more children were no more likely to have adopted contraception in the extended postpartum period than women with one child.
Knowledge of four or more contraceptives methods was strongly associated with contraceptive use (AOR = 1.53) after adjustment for other variables. Not surprisingly, education and family wealth were also strongly associated with postpartum use of contraceptives, but the pattern of differences within categories of these variables merits attention. With regard to education, women with primary and secondary education were about 1.5 times more likely to have used contraception than women with no education. However, women with above secondary-level education were indistinguishable from women with no education with regard to likelihood of having adopted a contraceptive method. For the family wealth, women in the four highest wealth quintiles were 1.3 to 1.5 times as likely to have adopted a contraceptive method by the end of the extended postpartum period as women in the lowest quintile. However, no gradient or dose-response effect is observed across the four quintiles – women in all four wealth quintiles had about the same likelihood of having adopted a method. It is only women in the lowest wealth quintile that stand out in terms of probability of adopting a contraceptive method in the extended postpartum period.
Women living on the islands of Java and Bali were one-third more likely to have used contraceptives in comparison with residents of other islands. This likely reflects inter-island differences in demand for family planning and supply-side readiness to provide services. When the other factors considered in the analyses are controlled statistically, women residing in rural were about 12% more likely to have adopted a contraceptive method postpartum than residents of urban areas. This is a testament to the reach of the Indonesian national family planning program. However, it also indicates the need to better reach the urban poor with postpartum family planning services.
In the Model 3 - Table 2, we excluded the place of delivery and antenatal care variables as these variables were not measured in the 2015 PMA2020 survey. All other variables in the model were measured similarly in the PMA2020 survey as in the 2007 and 2012 IDHS. With regard to results, other than slightly stronger associations of receipt of family planning of information from television and education, the results of Model 3 are essentially the same as for Model 2. In Model 4 - Table 2, only factors that were statistically significant in Model 3 were retained. The results are for all intents and purposes identical to those in Model 3.
Comparable multivariable analyses were undertaken of factors associated with unmet need for family planning among postpartum women during the period 2007–2015, the results of which are displayed in Table 3. The results point to same set of factors as were observed as being strongly associated with postpartum contraceptive use as being associated with unmet need. Higher unmet need is associated with higher age, higher parity, lower knowledge of family planning methods, fewer ANC visits, non-receipt of family planning information from TV, receipt of family planning information from magazines or newspaper, no formal education, lowest quintile family wealth, and residence on islands other than Java or Bali.

Discussion

Global estimates of the level of unmet need among postpartum women vary from 32% to 62%, depending upon the definition used [16]. While these estimates vary with regard to the countries included and time reference, it is nevertheless apparent that at 26.4% unmet need among postpartum women in Indonesia (weighted average 2007–2015) is lower than that found in many other low- and middle-income countries. Insofar as the modern contraceptive prevalence rate in Indonesia has exceeded 50% since the early 2000s, this perhaps should not come as a surprise [19].
That being said, unmet need among postpartum women in Indonesia is substantially higher than among married women of reproductive age in general (11.4% in the 2012 IDHS and 15.3% on the 2015 PMA2020 survey), and on this basis is worthy of programmatic attention [19, 20]. Although Indonesia had early success with family planning in comparison with the other low- and middle-income countries, the mCPR has stagnated in recent years [1921], largely the result of the transition to a decentralized system of government beginning in the early 2000s that remains a work in progress [28]. Countries with mCPRs of 60% or higher such as Indonesia have already provided information on and access to family planning services to a high proportion of women and couples of reproductive ages, and as such the primary focus should be on reaching remaining under-served sub-populations and improving service quality to, among other things, reduce the relatively high rate of method discontinuation still found in the country. In this context, addressing postpartum unmet need would be make great strategic sense in order to make the health system more responsive to the reproductive needs and intentions of Indonesian women and families.
Although postpartum contraceptive use in Indonesia is relatively high, the timing of initiation is less than optimal. For example, in 2013 60% or more of Indonesian mothers had discontinued exclusive breastfeeding by six months postpartum [29], but only 50% had begun contraceptive use. Although the Indonesian Ministry of Health aspires to at least double the percent of mothers who exclusively breastfeed for six months, achieving this goal will take time, and even if achieved the six-month exclusive breastfeeding rate will remain low by international standards. From this perspective as well, prioritizing postpartum family planning makes strategic sense.
Another issue for concern is the highly-skewed method mix among postpartum contraceptive users [18]. The contraceptive method mix among all users in Indonesia is skewed toward short-term methods – injections and oral contraceptives in particular, with 75% of all users in the 2015 PMA2020 survey reporting using these two methods. The method mix among postpartum contraceptive users is even more skewed – over 80% using injections or orals [21]. In view of the fact that about 10% of total demand for family planning among postpartum women in the aggregate during the 2007–2015 period was for limiting, there would appear to have been many missed opportunities to engage women who desire no more children in the use of longer-acting reversible contraceptives (LARCs). Promoting LARCs among such women would be consistent with the Government of Indonesia’s Medium-Term Development Plan 2015–2019 (RPJMN) [18], which seeks to increase the market share of LARCs among contraceptive users from 14% to 23%.
The results of the multivariable analyses concerning differentials by background characteristics also raise some concerns. Two differentials in particular merit programmatic attention. First, the substantially higher level of unmet need observed among residents of islands other than Java and Bali points to a need to improve the reach and quality of family planning services, and health services in general, on these outer islands. This is also the case with regard to low income families nationwide. The magnitude of household wealth differentials in contraceptive during the extended postpartum period appear to be larger than those among all married women, suggesting that the services being provided to women from the poorest households may be neglecting postpartum family planning to larger extent than those provided to other women. This is likely associated with differences in place of delivery and use of ANC and postpartum maternal health services. In principle, the inclusion of most family planning services in the new universal social health insurance scheme (Jaminan Kesehatan Nasional - JKN) scheduled for full national coverage by 2019 should help alleviate this concern, but many challenges remain in rolling out the scheme to achieve universal coverage [30].
As noted by IH Shah, KG Santhya and J Cleland [1], the ideal strategy for improving family planning program performance is to incorporate contraceptive advice and services across the continuum of reproductive health care. The steady increase in the proportion of births delivered in health facility more or less across the globe expands the number of opportunities for such a comprehensive approach. However, as IH Shah, KG Santhya and J Cleland [1] also correctly observe, given competing priorities and pressure on budgets and staff, policy and program choices have to be made, choices that are often constrained by the policy, programmatic, and cultural contexts. More specifically, effective implementation requires more effective integration of family planning with other services accessed during pregnancy and the postpartum period than currently exists in many countries, Indonesia included. Hopefully, however, this recognition will galvanize policies and programmatic action with regard to universal access to reproductive health services for all in Indonesia in relation to national SDG goals.

Conclusions

Unmet need for family planning among postpartum women in Indonesia is low in comparison with other low- and middle-income countries. However, because of limited durations of exclusive breastfeeding, many Indonesian women do not initiate contraception early enough after delivering children, thus exposing themselves to the risk of unplanned pregnancies. These risks are concentrated among older women, women with 4+ children, women with limited knowledge of contraceptive methods, women making fewer ANC visits, women from poor families and residents of islands other than Java and Bali. Given already high contraceptive prevalence, targeting postpartum women for increased programmatic attention, particularly with regard to the use of LARCs for women desiring not to have any further children, would seem prudent strategically.

Acknowledgements

This paper was written as part of the collaboration between Center for Reproductive Health Faculty of Medicine Gadjah Mada University, National Population and Family Planning Bureau (BKKBN) of Indonesia and Avenir Health. We are thankful to the PMA2020 team of Bill & Melinda Gates Institute for Population and Reproductive Health Department of Population, Family and Reproductive Health Johns Hopkins Bloomberg School of Public Health and BKKBN for our data access approval for DHS 2007, 2012 and Indonesia PMA2020 Round 1 2015.
Not applicable

Funding

A portion of the Center for Reproductive Health Staff’s time were funded via a BMGF grant to the JHU/Gates Institute for the PMA2020 program. One of co-Authors (RM) is paid his time under Track20 project from Avenir Health which funded by Bill & Melinda Gates Foundation (Grant Number: OPP1066471).

Availability of data and materials

The datasets generated and/or analyzed during the current study are available in the PMA2020 repository [http://​pma2020.​org/​request-access-to-datasets-new] and DHS repository [http://​dhsprogram.​com/​data/​available-datasets.​cfm]. It can be freely downloaded by submitting a research proposal. These data physically are also owned by BKKBN hence all authors can access directly to these data sets.
The Indonesia Demographic and Health Survey (IDHS, 2007 and 2012) received ethical approval from ICF Macro Institutional Review Board, Maryland, USA. The data collection for PMA2020 round 1 2015 was approved by The Committee of Research Ethics of the Family Planning and Reproductive Health of National Population and Family Planning (BKKBN), Indonesia. For IDHS 2007 and 2012, interviewers sought verbal informed consent from the respondents prior to administering the survey. They read a prescribed statement to the respondent and recorded the consent in the questionnaire. For the PMA2020 survey, interviewers recorded informed consent approvals on the phone. In this study, as we used de-identified data, institutional ethical approval was not necessary.
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.
Literatur
1.
Zurück zum Zitat Shah IH, Santhya KG, Cleland J. Postpartum and post-abortion contraception: from research to programs. Stud Fam Plan. 2015;46(4):343–53.CrossRef Shah IH, Santhya KG, Cleland J. Postpartum and post-abortion contraception: from research to programs. Stud Fam Plan. 2015;46(4):343–53.CrossRef
2.
Zurück zum Zitat Population Services International (PSI): Enabling the healthy spacing of pregnancy: Programmatic approaches to expand postpartum IUD access. In. Washington, DC: PSI; 2015. Population Services International (PSI): Enabling the healthy spacing of pregnancy: Programmatic approaches to expand postpartum IUD access. In. Washington, DC: PSI; 2015.
3.
Zurück zum Zitat WHO: Programming strategies for postpartum family planning. Geneva: World Health Organization; 2013. WHO: Programming strategies for postpartum family planning. Geneva: World Health Organization; 2013.
4.
Zurück zum Zitat Sonalkar S, Gaffield ME. Introducing the World Health Organization postpartum family planning compendium. Int J Gynecol Obstet. 2017;136(1):2–5.CrossRef Sonalkar S, Gaffield ME. Introducing the World Health Organization postpartum family planning compendium. Int J Gynecol Obstet. 2017;136(1):2–5.CrossRef
5.
Zurück zum Zitat Rutstein SO: Further evidence of the effects of preceding birth intervals on neonatal infant and under-five-years mortality and nutritional status in developing countries: evidence from the demographic and health surveys. In: DHS Working Papers. Vol. 41. Calverton: ICF International; 2008. Rutstein SO: Further evidence of the effects of preceding birth intervals on neonatal infant and under-five-years mortality and nutritional status in developing countries: evidence from the demographic and health surveys. In: DHS Working Papers. Vol. 41. Calverton: ICF International; 2008.
6.
Zurück zum Zitat Conde-Agudelo A, Rosas-Bermudez A, Castaño F, Norton MH. Effects of birth spacing on maternal, perinatal, infant, and child health: a systematic review of causal mechanisms. Stud Fam Plan. 2012;43(2):93–114.CrossRef Conde-Agudelo A, Rosas-Bermudez A, Castaño F, Norton MH. Effects of birth spacing on maternal, perinatal, infant, and child health: a systematic review of causal mechanisms. Stud Fam Plan. 2012;43(2):93–114.CrossRef
7.
Zurück zum Zitat Ahmed S, McKaig C, Begum N, Mungia J, Norton M, Baqui AH. The effect of integrating family planning with a maternal and newborn health program on postpartum contraceptive use and optimal birth spacing in rural Bangladesh. Stud Fam Plan. 2015;46(3):297–312.CrossRef Ahmed S, McKaig C, Begum N, Mungia J, Norton M, Baqui AH. The effect of integrating family planning with a maternal and newborn health program on postpartum contraceptive use and optimal birth spacing in rural Bangladesh. Stud Fam Plan. 2015;46(3):297–312.CrossRef
8.
Zurück zum Zitat Conde-Agudelo A, Rosas-Bermúdez A, Kafury-Goeta AC. Birth spacing and risk of adverse perinatal outcomes: a meta-analysis. JAMA. 2006;295(15):1809–23.CrossRefPubMed Conde-Agudelo A, Rosas-Bermúdez A, Kafury-Goeta AC. Birth spacing and risk of adverse perinatal outcomes: a meta-analysis. JAMA. 2006;295(15):1809–23.CrossRefPubMed
9.
Zurück zum Zitat Cleland J, Conde-Agudelo A, Peterson H, Ross J, Tsui A. Contraception and health. Lancet. 2012;380(9837):149–56.CrossRefPubMed Cleland J, Conde-Agudelo A, Peterson H, Ross J, Tsui A. Contraception and health. Lancet. 2012;380(9837):149–56.CrossRefPubMed
10.
Zurück zum Zitat Arrowsmith ME, Aicken CRH, Saxena S, Majeed A. Strategies for improving the acceptability and acceptance of the copper intrauterine device. Cochrane Libr. 2012:CD008896. Arrowsmith ME, Aicken CRH, Saxena S, Majeed A. Strategies for improving the acceptability and acceptance of the copper intrauterine device. Cochrane Libr. 2012:CD008896.
11.
Zurück zum Zitat Lopez LM, Grey TW, Chen M, Hiller JE. Strategies for improving postpartum contraceptive use: evidence from non-randomized studies. Cochrane Libr. 2014:CD011298. Lopez LM, Grey TW, Chen M, Hiller JE. Strategies for improving postpartum contraceptive use: evidence from non-randomized studies. Cochrane Libr. 2014:CD011298.
12.
Zurück zum Zitat Lopez LM, Grey TW, Hiller JE, Chen M. Education for contraceptive use by women after childbirth. Cochrane Libr. 2015:CD001863. Lopez LM, Grey TW, Hiller JE, Chen M. Education for contraceptive use by women after childbirth. Cochrane Libr. 2015:CD001863.
13.
Zurück zum Zitat Sonalkar S, Mody S, Gaffield ME. Outreach and integration programs to promote family planning in the extended postpartum period. Int J Gynecol Obstet. 2014;124(3):193–7.CrossRef Sonalkar S, Mody S, Gaffield ME. Outreach and integration programs to promote family planning in the extended postpartum period. Int J Gynecol Obstet. 2014;124(3):193–7.CrossRef
14.
Zurück zum Zitat Cooper CM, Fields R, Mazzeo CI, Taylor N, Pfitzer A, Momolu M, Jabbeh-Howe C. Successful proof of concept of family planning and immunization integration in Liberia. Global Health: Sci Pract. 2015;3(1):71–84. Cooper CM, Fields R, Mazzeo CI, Taylor N, Pfitzer A, Momolu M, Jabbeh-Howe C. Successful proof of concept of family planning and immunization integration in Liberia. Global Health: Sci Pract. 2015;3(1):71–84.
15.
Zurück zum Zitat Malarcher S, Polis CB. Using measurements of unmet need to inform program Investments for Health Service Integration. Stud Fam Plan. 2014;45(2):263–75.CrossRef Malarcher S, Polis CB. Using measurements of unmet need to inform program Investments for Health Service Integration. Stud Fam Plan. 2014;45(2):263–75.CrossRef
16.
Zurück zum Zitat Rossier C, Bradley SEK, Ross J, Winfrey W. Reassessing unmet need for family planning in the postpartum period. Stud Fam Plan. 2015;46(4):355–67.CrossRef Rossier C, Bradley SEK, Ross J, Winfrey W. Reassessing unmet need for family planning in the postpartum period. Stud Fam Plan. 2015;46(4):355–67.CrossRef
17.
Zurück zum Zitat Speizer IS, Fotso JC, Okigbo C, Faye CM, Seck C. Influence of integrated services on postpartum family planning use: a cross-sectional survey from urban Senegal. BMC Public Health. 2013;13(1):1.CrossRef Speizer IS, Fotso JC, Okigbo C, Faye CM, Seck C. Influence of integrated services on postpartum family planning use: a cross-sectional survey from urban Senegal. BMC Public Health. 2013;13(1):1.CrossRef
18.
Zurück zum Zitat Republik of Indonesia: National Medium Term Development Plan 2015-2019 (RPJMN 2015–2019). Jakarta: Bappenas; 2015. Republik of Indonesia: National Medium Term Development Plan 2015-2019 (RPJMN 2015–2019). Jakarta: Bappenas; 2015.
19.
Zurück zum Zitat Statistics Indonesia (BPS), National Family Planning Coordinating Board (BKKBN), Ministry of Health, International M: Indonesia Demographic and Health Survey 2007. Calverton, Maryland, USA: BPS and Macro International; 2008. Statistics Indonesia (BPS), National Family Planning Coordinating Board (BKKBN), Ministry of Health, International M: Indonesia Demographic and Health Survey 2007. Calverton, Maryland, USA: BPS and Macro International; 2008.
20.
Zurück zum Zitat Statistics Indonesia (BPS), National Population and Family Planning Board (BKKBN), Ministry of Health, MEASURE DHS ICF International: Indonesia Demographic and Health Survey 2012. Jakarta: BPS, BKKBN, Kemenkes, and ICF International; 2013. Statistics Indonesia (BPS), National Population and Family Planning Board (BKKBN), Ministry of Health, MEASURE DHS ICF International: Indonesia Demographic and Health Survey 2012. Jakarta: BPS, BKKBN, Kemenkes, and ICF International; 2013.
22.
Zurück zum Zitat Weaver EH, Frankenberg E, Fried BJ, Thomas D, Wheeler SB, Paul JE. Effect of village midwife program on contraceptive prevalence and method choice in Indonesia. Stud Fam Plan. 2013;44(4):389–409.CrossRef Weaver EH, Frankenberg E, Fried BJ, Thomas D, Wheeler SB, Paul JE. Effect of village midwife program on contraceptive prevalence and method choice in Indonesia. Stud Fam Plan. 2013;44(4):389–409.CrossRef
23.
Zurück zum Zitat Zimmerman L, Olson H, Tsui A, Radloff S. PMA2020: rapid turn-around survey data to monitor family planning service and practice in ten countries. Stud Fam Plan. 2017;48(3):293–303.CrossRef Zimmerman L, Olson H, Tsui A, Radloff S. PMA2020: rapid turn-around survey data to monitor family planning service and practice in ten countries. Stud Fam Plan. 2017;48(3):293–303.CrossRef
24.
Zurück zum Zitat Westoff CF. The potential demand for family planning: a new measure of unmet need and estimates for five Latin American countries. Int Fam Plan Perspect. 1988;14(2):45–53.CrossRef Westoff CF. The potential demand for family planning: a new measure of unmet need and estimates for five Latin American countries. Int Fam Plan Perspect. 1988;14(2):45–53.CrossRef
25.
Zurück zum Zitat Bradley S, Croft TN, Fishel JD, Westoff CF. Revising unmet need for family planning. In: DHS Analytical Studies No 25. ICF International: Calverton, Maryland, USA; 2012. Bradley S, Croft TN, Fishel JD, Westoff CF. Revising unmet need for family planning. In: DHS Analytical Studies No 25. ICF International: Calverton, Maryland, USA; 2012.
26.
Zurück zum Zitat Borda MR, Winfrey W, McKaig C. Return to sexual activity and modern family planning use in the extended postpartum period: an analysis of findings from seventeen countries. Afr J Reprod Health. 2010;14(4) Borda MR, Winfrey W, McKaig C. Return to sexual activity and modern family planning use in the extended postpartum period: an analysis of findings from seventeen countries. Afr J Reprod Health. 2010;14(4)
27.
Zurück zum Zitat STATA. Stata software version 15.0. STATA Cooperation: College Station, Texas, USA; 2017. STATA. Stata software version 15.0. STATA Cooperation: College Station, Texas, USA; 2017.
28.
Zurück zum Zitat Hull T, Mosley H. Revitalization of family planning in Indonesia. Bappenas- BKKBN- UNFPA: Jakarta; 2009. Hull T, Mosley H. Revitalization of family planning in Indonesia. Bappenas- BKKBN- UNFPA: Jakarta; 2009.
29.
Zurück zum Zitat Ministry of Health of Indonesia: Basic Health Research (Riset Kesehatan Dasar: Riskesdas) 2013. Jakarta: National Institute of Health Research and Development - NIHRD (Badan Penelitian dan Pengembangan Kesehatan); 2013. Ministry of Health of Indonesia: Basic Health Research (Riset Kesehatan Dasar: Riskesdas) 2013. Jakarta: National Institute of Health Research and Development - NIHRD (Badan Penelitian dan Pengembangan Kesehatan); 2013.
30.
Zurück zum Zitat Mboi: Indonesia: On the Way to Universal Health Care. Health Systems 2015, 1(2):91–97. Mboi: Indonesia: On the Way to Universal Health Care. Health Systems 2015, 1(2):91–97.
Metadaten
Titel
Levels, trends and correlates of unmet need for family planning among postpartum women in Indonesia: 2007–2015
verfasst von
Siswanto Agus Wilopo
Althaf Setyawan
Anggriyani Wahyu Pinandari
Titut Prihyugiarto
Flourisa Juliaan
Robert J. Magnani
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Women's Health / Ausgabe 1/2017
Elektronische ISSN: 1472-6874
DOI
https://doi.org/10.1186/s12905-017-0476-x

Weitere Artikel der Ausgabe 1/2017

BMC Women's Health 1/2017 Zur Ausgabe

Neu im Fachgebiet Gynäkologie und Geburtshilfe

Update Gynäkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert – ganz bequem per eMail.