| Literature DB >> 29201402 |
Jennifer H Tang1,2, Dawn M Kopp1, Gretchen S Stuart2, Michele O'Shea1,3, Christopher C Stanley1, Mina C Hosseinipour1,4, William C Miller4,5, Mwawi Mwale6, Stephen Kaliti6, Phylos Bonongwe7, Nora E Rosenberg1,8.
Abstract
BACKGROUND: Long-acting reversible contraception (LARC) can assist women with birth spacing and reduce unintended pregnancies. Sub-Saharan Africa has low uptake of the two available methods of LARC, the subdermal implant and intrauterine contraception (IUC). Our primary objectives were to: 1) calculate the incidence of LARC use among postpartum Malawian women, and 2) assess if LARC knowledge and intent to use LARC were associated with LARC uptake.Entities:
Keywords: Africa; Family planning; Intrauterine contraception; Long-acting reversible contraception; Postpartum; Subdermal implants
Year: 2016 PMID: 29201402 PMCID: PMC5693581 DOI: 10.1186/s40834-016-0026-1
Source DB: PubMed Journal: Contracept Reprod Med ISSN: 2055-7426
Fig. 1Implant or intrauterine contraceptive (IUC) use among postpartum Malawian women up to 12 months after delivery. *One woman completed the 12-month survey, but not the 3- or 6-month survey
Characteristics of women with and without correct implant knowledge at baseline
| Correct Implant Knowledge ( | Incorrect Implant Knowledge ( |
| |
|---|---|---|---|
| Age, n (%) | |||
| 18–24 | 215 (46.5) | 70 (46.4) | 0.75 |
| 25–34 | 208 (45.0) | 71 (47.0) | |
| ≥35 | 39 (8.4) | 10 (6.6) | |
| Relationship status, n (%) | |||
| Married | 440 (95.2) | 138 (91.4) | 0.08 |
| Unmarried | 22 (4.8) | 13 (8.6) | |
| Education, n (%) | |||
| None or some primary | 127 (27.5) | 46 (30.5) | 0.29 |
| Primary/some secondary | 217 (47.0) | 60 (39.7) | |
| Secondary and beyond | 118 (25.5) | 45 (29.8) | |
| Trouble with food, clothing, or medications, n (%)a | |||
| Yes | 254 (54.9) | 91 (60.3) | 0.28 |
| No | 206 (44.6) | 60 (39.7) | |
| Living children, n (%) | |||
| 1 | 171 (37.0) | 60 (39.7) | 0.75 |
| 2–3 | 206 (44.6) | 62 (41.1) | |
| ≥4 | 85 (18.4) | 29 (19.2) | |
| Desire any more children, n (%)a | |||
| Yes | 286 (61.9) | 88 (58.3) | 0.72 |
| No | 167 (36.1) | 59 (39.1) | |
| Don’t know | 7 (1.5) | 3 (2.0) | |
| Most recent pregnancy intention, n (%) | |||
| Intended | 270 (58.4) | 89 (58.9) | 0.21 |
| Unintended | 192 (41.6) | 61 (40.4) | |
| Don’t know | 0 (0.0) | 1 (0.7) | |
| HIV status, n (%) | |||
| Infected | 157 (34.0) | 49 (32.5) | 0.73 |
| Uninfected | 305 (66.0) | 102 (67.6) | |
| Knowledge about IUC Safety and Efficacy, n (%)a | |||
| Correct | 216 (46.8) | 23 (15.2) | <0.01 |
| Incorrect/Don’t Know | 216 (46.8) | 116 (76.8) | |
| Intent to use Implant, n (%) | |||
| Yes | 343 (74.2) | 71 (47.0) | <0.01 |
| No | 119 (25.8) | 80 (53.0) | |
| Intent to use IUC, n (%) | |||
| Yes | 88 (19.1) | 32 (21.2) | 0.56 |
| No | 374 (81.0) | 119 (78.8) | |
| Have friend using the implant, n (%)a | |||
| Yes | 371 (80.3) | 105 (69.5) | 0.01 |
| No | 86 (18.6) | 42 (27.8) |
IUC intrauterine contraception
amay not add up to 100 % due to missing data
Incidence of Implant uptake by correct implant knowledge and covariates
| Implant Uptake Events (n) | Person-years | Incidence Rate (per 100 person-years) | 95 % CI of IR | |
|---|---|---|---|---|
| Overall | 133 | 373.5 | 35.6 | (30.0, 42.2) |
| Implant Knowledge | ||||
| Correct | 105 | 268.3 | 39.1 | (32.3, 47.4) |
| Incorrect | 23 | 95.7 | 24.0 | (16.0, 36.2) |
| Age categories | ||||
| 18–24 | 63 | 165.5 | 38.1 | (29.7, 48.7) |
| 25–34 | 60 | 174.6 | 34.4 | (26.7, 44.3) |
| ≥35 | 10 | 33.4 | 30.0 | (16.1, 55.7) |
| Relationship status | ||||
| Married | 129 | 348.6 | 37.0 | (31.1, 44.0) |
| Unmarried | 4 | 24.9 | 16.1 | (6.0, 42.8) |
| Education | ||||
| None or some primary | 29 | 95.7 | 30.3 | (21.1, 43.6) |
| Primary/some secondary | 62 | 162.0 | 38.3 | (29.8, 49.1) |
| Secondary and beyond | 42 | 115.9 | 36.2 | (26.8, 49.1) |
| Trouble with food, clothing, or medications | ||||
| Yes | 69 | 194.8 | 35.4 | (28.0, 44.8) |
| No | 63 | 177.8 | 35.4 | (27.7, 45.4) |
| Living children | ||||
| 1 | 47 | 144.2 | 32.6 | (24.5, 43.4) |
| 2–3 | 67 | 160.6 | 41.7 | (32.8, 53.0) |
| ≥4 | 19 | 68.7 | 27.7 | (17.6, 43.4) |
| Desire any more children | ||||
| Yes | 82 | 233.9 | 35.1 | (28.2, 43.5) |
| No | 47 | 130.3 | 36.1 | (27.1, 48.0) |
| Don’t know | 3 | 8.0 | 37.4 | (12.0, 115.8) |
| Most recent pregnancy intention | ||||
| Intended | 85 | 224.8 | 37.8 | (30.6, 46.8) |
| Unintended | 48 | 148.4 | 32.3 | (24.4, 42.9) |
| Don’t know | 0 | - | - | - |
| HIV status | ||||
| Infected | 38 | 121.4 | 31.3 | (22.8, 43.0) |
| Uninfected | 95 | 252.1 | 37.7 | (30.8, 46.1) |
| Intent to use Implant | ||||
| Yes | 103 | 241.2 | 42.7 | (35.2, 51.8) |
| No | 30 | 132.3 | 22.7 | (15.9, 32.4) |
| Have friend using the implant | ||||
| Yes | 105 | 287.8 | 36.5 | (30.1, 44.2) |
| No | 26 | 79.1 | 32.8 | (22.4, 48.3) |
| Both correct knowledge about implant and intent to use implant | ||||
| Yes | 86 | 192.1 | 44.8 | (36.2, 55.3) |
| No | 47 | 181.4 | 25.9 | (19.5, 34.5) |
Fig. 2a Kaplan-Meier estimate of contraceptive implant uptake over time by correct versus incorrect implant knowledge. * p = 0.030 by log-rank test. b Kaplan-Meier estimate of contraceptive implant uptake over time by intent to use implant at baseline. *p = 0.002 by log-rank test