| Literature DB >> 31665032 |
Rubee Dev1, Pamela Kohler2, Molly Feder3, Jennifer A Unger4, Nancy F Woods5, Alison L Drake6.
Abstract
BACKGROUND: Short birth intervals increase risk for adverse maternal and infant outcomes including preterm birth, low birth weight (LBW), and infant mortality. Although postpartum family planning (PPFP) is an increasingly high priority for many countries, uptake and need for PPFP varies in low- and middle-income countries (LMIC). We performed a systematic review and meta-analysis to characterize postpartum contraceptive use, and predictors and barriers to use, among postpartum women in LMIC.Entities:
Keywords: Barriers; Contraceptives; Low income; Middle income; Postpartum; Predictors
Mesh:
Year: 2019 PMID: 31665032 PMCID: PMC6819406 DOI: 10.1186/s12978-019-0824-4
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Fig. 1PRISMA flow diagram of literature search results (Search Dates: January 1997–May 2018). mCPR; modern contraceptive prevalence rate, FP; family planning. * not indexed in electronic database at the time of review ** unpublished dissertation
Characteristics of studies on postpartum contraceptive use, by regions (n = 35)
| First author [Reference] | Publication year | Survey year(s) | Country | Study Design | Study population | Outcomes included in the meta-analysis | New Castle Ottawa Scoreb | ||
|---|---|---|---|---|---|---|---|---|---|
| Maternal Age (years)a | Time point of assessment | Sample size | |||||||
| West Africa | |||||||||
| Adanikin [ | 2013 | 2011–2012 | Nigeria | RCT | Mean = 29.2 | 6 months | 216 | mCPR | 4 |
| Adeyemi [ | 2005 | 2003–2004 | Nigeria | Prospective cohort | Mean = 28.5 | 9–10 months | 256 | mCPR, unmet need | 4 |
| Eliason [ | 2013 | 2012 | Ghana | Cross-sectional | Mean = 25.6 | At the clinic | 1914 | – | 4 |
| Sipsma [ | 2013 | 2006 | Niger | Cross-sectional | Mean = 29 | 6 months | 673 | mCPR | 4 |
| Robinson [ | 2016 | 2010 | Ghana | Qualitative (FGD) | Range = 15–49 | 0–12 months | 13 | – | 2 |
| Durosinlorun [ | 2016 | 2000–2014 | Nigeria | Retrospective cohort | Range = < 20 to ≥50 | 6 months | 5992 | – | 4 |
| Iliyasu [ | 2018 | 2015 | Nigeria | Cross-sectional | Mean = 27 | 12 months | 317 | mCPR | 4 |
| Morhe [ | 2017 | 2011 | Ghana | Cross-sectional | Mean = 31.1 | 6–12 months | 200 | mCPR | 5 |
| East Africa | |||||||||
| Balkus [ | 2007 | 1999–2003 | Kenya | Prospective cohort | Range = 18–42 | 12 months | 410 | mCPR | 3 |
| Hubacher [ | 2013 | 2011–2012 | Kenya | Prospective cohort | Range = 18–39 | 6–12 weeks | 671 | Birth spacing & limiting | 3 |
| Mumah [ | 2015 | 2007–2010 | Kenya | Prospective cohort | Range = 15–49 | 0–12 months | 3579 | mCPR, birth limiting | 4 |
| Ndugwa [ | 2011 | 2007–2008 | Kenya | Prospective cohort | Range = 11–52 | 0–12 months | 2994 | mCPR, birth limiting | 3 |
| Abera [ | 2015 | 2013 | Ethiopia | Cross-sectional | Mean = 27.2 | 6 weeks-12 months | 703 | mCPR, birth spacing & limiting | 5 |
| Abraha [ | 2017 | 2015 | Ethiopia | Cross-sectional | Mean = 27.4 | 0–12 months | 590 | mCPR, birth spacing & limiting | 5 |
| O’Shea [ | 2014 | 2013 | Malawi | Cross-sectional | Range = 18–35+ | 0–12 months | 634 | – | 3 |
| Keogh [ | 2015 | 2008 | Tanzania | Cross-sectional | Range = 15–35+ | 6–12 months | 5284 | mCPR, birth spacing & limiting | 3 |
| Mengesha [ | 2015 | 2012 | Ethiopia | Cross-sectional | Mean = 28.3 | 12 months | 899 | mCPR, birth spacing & limiting | 5 |
| Shabiby [ | 2015 | 2012 | Kenya | Cross-sectional | Mean = 26 | At discharge after birth | 185 | – | 3 |
| Sileo [ | 2015 | 2012 | Uganda | Cross-sectional | Mean = 25.8 | 3 months | 258 | mCPR, unmet need | 4 |
| MCHIP [ | 2012 | 2008–2009 | Kenya | Cross-sectional (DHS data) | Range = 15–49 | 0–12 months | 2264 | Unmet need, birth spacing & limiting | 3 |
| Achwoka [ | 2017 | 2013 | Kenya | Cross-sectional | Mean = 25.8 | 8–10 months | 955 | mCPR | 5 |
| Gebremariam [ | 2017 | 2015 | Ethiopia | Cross-sectional | Mean = 30.8 | 6–12 months | 605 | mCPR | 5 |
| Gebremedhin [ | 2018 | 2015 | Ethiopia | Cross-sectional | Range = 15–49 | 12 months | 803 | mCPR | 4 |
| South Asia/South East Asia | |||||||||
| Chhabra [ | 2016 | 2014 | India | Cross-sectional | Range = 15–40 | 8 weeks | 117 | mCPR | 2 |
| Kashyap [ | 2016 | 2015 | India | Cross-sectional | Range = 18–35 | 10 weeks | 178 | mCPR | 2 |
| Mody [ | 2014 | 2008 | India | Cross-sectional | Range = 17–45 | 6 months | 1049 | mCPR | 3 |
| Withers [ | 2010 | 2002–2003 | Indonesia | Cross-sectional | Mean = 29.9 | 0–12 months | 1528 | mCPR | 5 |
| FP seminar [ | 2014 | NA | India | Seminar report | NS | 0–12 months | 56 countries | – | 2 |
| Navodani [ | 2017 | 2014 | Sri Lanka | Cross-sectional | Mean = 29.4 | 8–12 weeks | 1112 | mCPR | 5 |
| Wilopo [ | 2017 | 2015 | Indonesia | Cross-sectional | Range = 15–49 | 6 months | 1415 | mCPR, unmet need | 4 |
| Middle East/North Africa | |||||||||
| Elweshahi [ | 2018 | 2016 | Egypt | Cross-sectional | Mean = 30 | 12 months | 1500 | mCPR, unmet need | 5 |
| Multi-regional (South Asia/Sub-Saharan Africa/Central America) | |||||||||
| Moore [ | 2015 | 2005–2012 | 21 LMIC | Cross-sectional (DHS data) | Range = 15–49 | 0–12 months | 21 countries | – | 3 |
| Ross [ | 2001 | 1991–1996 | 27 countries | Cross-sectional (DHS data) | Range = 15–49 | 0–12 months | 27 countries | – | 3 |
| Pasha [ | 2015 | 2011–2012 | India, Pakistan, Zambia, Kenya, Guatemala | Prospective cohort | Range = < 20 to ≥30 | 6 weeks | 36,687 | mCPR, unmet need, birth spacing & limiting | 3 |
| Hounton [ | 2015 | 2004–2013 | Ethiopia, Malawi, and Nigeria | Cross-sectional (DHS data) | Range = 15–49 | 3 months | 3 countries | – | 3 |
Note: DHS (demographic and health survey), FGD (focus group discussion), MCHIP (maternal and child health integrated program), NA (not applicable), NS (not specified), PP (postpartum period),
RCT (randomized controlled trial)
a Age at enrollment
b Total modified Newcastle-Ottawa risk of bias scores for the studies included in this systematic review and meta-analysis. Scoring were done based on the (i) sample representativeness; (ii) sample size; (iii) non-respondents, (iv) ascertainment of mCPR/reproductive intention/unmet need; and (v) quality of descriptive statistics reporting. Total scores range from 0 to 5. For the total score grouping, studies were judged to be of low risk of bias (≥3 points) or high risk of bias (< 3 points)
Contraceptive use and need for postpartum family planning
| Country, Year published [Reference] | N | mCPR (95% CI) | Share of modern contraceptive method-mix used postpartum (%)Φ | Fertility intention & Unmet need (%) |
|---|---|---|---|---|
| Low mCPR (< 20%) | ||||
| Ethiopia, 2015 [ | 899 | 10.3 | Injectables (77.1), IUD (16.6) OCP (3.1), Implant (2.1), Condom (1.1) | Desire to space (7.1), Desire to limit (3.1), Unmet need (10.2)e |
| Kenya, 2013 [ | 671 | – | Injectables (36.4), Implant (30.1) LNG-IUS (16.2), POP (14.7), IUD (2.6) | Desire to limit (25.5) Unmet need (42.3)f |
| Moderate mCPR (20–40%) | ||||
| Niger, 2013 [ | 673 | 25.0 | Among lactating womena Modern methods (25.0)b Sterilizations (23.0) | – |
| Ghana, 2017 [ | 25.5 | Injectables (41.6), OCPs (15.1) Condoms (15.1), Implants (9.4) IUDs (9.4), Sterilization (9.4) | – | |
| 21 LMIC, 2015 [ | – | 27.0 | Short-acting methods (51.0–96.0)b | Desire to space (37.0), Desire to limit (25.0), Unmet need (62.0)e |
| Nigeria, 2005 [ | 256 | 29.7 | Condoms (42.1), IUCD (35.5) Pills (9.2), Injectables (9.2), Sterilization (4.0) | Unmet need (59.4)e |
| 27 countries, 2001 [ | 30.0 | Pills (mainly in 0–6 months)b | Desire to space (39.1), Desire to limit (25.5), Unmet need (64.6% across countries)e | |
| Tanzania, 2015 [ | 5284 | 34.0 | Injectables (35.3), Condoms (29.4) OCP (20.6), Dual method (14.7) | Desire to space (11.0), Desire to limit (27.0), Unmet need (38.0)e |
| India, 2014 [ | 1049 | 33.6 | Condoms (80.3), OCP (11.5) IUD (5.1), Sterilization (2.5), ECP (0.6) | – |
| Nigeria, 2013 [ | 108c | 35.4 | Condoms (51.4), IUD (31.5), OCP (11.4), Injectables (5.7) | – |
| India, 2016 [ | 117 | 36.0f | IUCD (28.6), POP (14.2), Injectables (7.1) | Unmet need (25.6)f |
| Kenya, 2011 [ | 2264 | 36.0 | – | Unmet need (59.0)e |
| High mCPR (> 40%) | ||||
| Indonesia, 2010 [ | 1528 | 40.5 | Injectables (52.6), Implants (28.7) IUD (9.5), OCPs (5.3), Sterilization (3.9) | Unmet need (41.0)e |
| Nigeria, 2018 [ | 41.6 | Injectables (34.8), OCPs (21.2), IUDs (11.3), Condoms (6.8), Sterilization (3.0) | – | |
| Kenya, 2011 [ | 2994 | 43.2 | Injectables (48.0), Pills (22.0) Condoms (6.0) | Desire to limit (32.2) |
| India, 2016 [ | 178 | 44.0 | IUD, POP, Injectablesb | – |
| Nigeria, 2016 [ | 2924 | 47.6g | Injectables (45.9), IUDs (36.8), OCP (12.7) | – |
| Ethiopia, 2017 [ | 590 | 48.0 (43.9–52.2) | Injectables (59.7), Implants (24.7) Pills (12.0) | Desire to space (67.1), Desire to limit (14.7) |
| Ethiopia, 2015 [ | 703 | 48.4 (44.5–52.1) | Injectables (68.5), OCPs (16.8) | Desire to space (51.1), Desire to limit (46.1) |
| Kenya, 2015 [ | 3579 | 49.0- in 6 months 60.0- in 12 months | (Injectables, Pills)b, Condoms (6.0) | Desire to limit (32.1) |
| Malawi, 2014 [ | 634 | – |
Implant (67.0), Condom (42.0), Injectables (38.0) | Desire to limit (97.0) |
| Indonesia, 2017 [ | 50 | Injectables (71.2), OCPs (8.8) IUDs (5.9), Implants (3.5) Sterilization (5.3) | Unmet need (47) | |
| Kenya, 2017 [ | 955 | 59 | Injectables (64.4), Implants (16.9) OCPs (10.2), IUDs (3.4), Condoms (3.4), Sterilization (1.7) | Unmet need (34) |
| Sri Lanka, 2017 [ | 1112 | 64.5 | Condoms (30.9), IUDs (27.2) Injectables (23.3), OCPs (0.8) | – |
| Ethiopia, 2017 [ | 605 | 68.1 (64.4–71.8) | Injectables (58.8), Implants (31.8) Pills (4.9), IUDs (3.4), Sterilization (0.1) | |
| Kenya, 2007 [ | 319d | 72.0e | Condoms (65.0)a, OCPs (31.0) Injectables (44.0), Switched methods (25) | – |
| 5 LMIC, 2015 [ | 36, 687 | Zambia (73.5), India (65.5), Pakistan (4.0) | OCP or injectables (> 90), LARC (3.0–10.0)b | Unmet need (25.0–96.0)e |
| Ethiopia, 2018 [ | 80.3 (74.5–83.1)# | Injectables (34.2), OCPs (22.2) Implants (27.3), IUDs (7), Condoms (2.1) | ||
| Egypt, 2018 [ | 1500 | 80.7 | – | Unmet need (16.3) |
Note: CI confidence interval, ECP emergency contraceptive pill, IUD intrauterine device, mCPR modern contraceptive prevalence rate, LAM lactational amenorrhea method, LNG IUS Levonorgestrel intrauterine system, LMIC low –and middle-income countries, OCP oral contraceptive pill, POP progesterone only pills
aMutually not exclusive bDisaggregated data not available cContraceptive prevalence rate
d% may not add up to 100% as we only report methods in the review that were included in the study ‘-‘Indicates no data available
eProspective definition (women not using modern contraceptives but wanting to space or limit pregnancy)
fRetrospective definition (women did not plan to become pregnant with prior pregnancy but did not use modern contraceptives)
gPostnatal counseling group; hHIV-1 seropositive women; i Hormonal contraceptive users; j Pre-counseling group; k Breastfeeding group
Fig. 2Forest plot of modern contraceptive prevalence rate, by region. Year is start of survey year and N is sample size. mCPR; modern contraceptive prevalence rate, CI; confidence interval
Fig. 3Forest plot of desire for birth spacing, by region. Year is start of study and N is sample size. % is pooled prevalence. CI; confidence interval
Fig. 4Forest plot of desire for birth limiting, by region. Year is start of study and N is sample size. % is pooled prevalence. CI; confidence interval
Fig. 5Forest plot for unmet need for contraception, by region. Year is start of study and N is sample size. % is pooled prevalence. CI; confidence interval
Fig. 6Facilitators for postpartum contraceptive use, 0–12 months postpartum