| Literature DB >> 28662695 |
Rose Jalang'o1, Faith Thuita2, Sammy O Barasa3, Peter Njoroge4.
Abstract
BACKGROUND: There is a high unmet need for limiting and spacing child births during the postpartum period. Given the consequences of closely spaced births, and the benefits of longer pregnancy intervals, targeted activities are needed to reach this population of postpartum women. Our objective was to establish the determinants of contraceptive uptake among postpartum women in a county referral hospital in rural Kenya.Entities:
Keywords: Contraceptive use; Determinants; Family planning; Kenya; Postpartum women
Mesh:
Year: 2017 PMID: 28662695 PMCID: PMC5492366 DOI: 10.1186/s12889-017-4510-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Socio-demographic characteristics of postpartum women
| Factor | Classification | Frequency | Percent |
|---|---|---|---|
| Age | ≤ 19 | 17 | 4.7 |
| 20–24 | 165 | 45 | |
| 25–29 | 130 | 36 | |
| 30–34 | 25 | 6.8 | |
| 35–39 | 13 | 3.5 | |
| 40 and above | 15 | 4.1 | |
| Marital Status | Single | 47 | 12.8 |
| Married | 287 | 78.4 | |
| Separated/Divorced /Widowed | 31 | 8.4 | |
| Education | No formal education | 5 | 1.4 |
| Primary Level | 29 | 7.9 | |
| Secondary Level | 185 | 50.5 | |
| Tertiary Level | 145 | 39.8 | |
| Employment Status | Not Employed | 154 | 42.1 |
| Self Employed | 128 | 35 | |
| Salaried Employment | 83 | 22.7 | |
| Religion | Catholic | 100 | 27.4 |
| Protestant | 107 | 29.2 | |
| Muslim | 5 | 1.4 | |
| Seventh Day Adventist | 153 | 41.9 | |
| Number of children | 1–2 children | 298 | 81.6 |
| 3–4 children | 49 | 13.4 | |
| More than 5 children | 18 | 5.0 | |
| Contraception Use (y/n) | Yes | 317 | 86.8 |
| No | 48 | 13.2 | |
| Method used | COCs | 55 | 15.1 |
| DMPA injections | 102 | 27.9 | |
| Implanon | 52 | 14.2 | |
| IUCDs | 88 | 24.1 | |
| Male condoms | 21 | 5.1 |
Correlates of postpartum family planning
| Factor | Used PPFP within a year % ( |
| ||
|---|---|---|---|---|
| Yes | No | |||
| Age | ≤ 25 | 40.9 (149) | 8.8 (32) | 0.02 |
| 26–30 | 34.8 (127) | 2.7 (10) | ||
| 31–35 | 6.8 (25) | 1.1 (4) | ||
| ≥36 | 4.4 (16) | 0.5 (2) | ||
| Marital status | Not in union | 15 (55) | 5.5 (20) | ˂0.01 |
| In union | 71.8 (262) | 7.7 (28) | ||
| Education | No education | 1.1 (4) | 0.3 (1) | 0.02 |
| Primary school | 6.6 (24) | 1.7 (6) | ||
| Secondary education | 41.6 (152) | 7.4 (27) | ||
| Tertiary education | 37.7 (138) | 3.6 (13) | ||
| Employment status | Not employed | 33.4 (122) | 7.7 (28) | ˂0.01 |
| Self employed | 31.8 (116) | 3.6 (13) | ||
| Salaried employment | 21.6 (79) | 1.9 (7) | ||
| Number of children | 1–2 | 71.2 (260) | 10.4 (38) | 0.120 |
| 3–4 | 12 (44) | 1.4 (5) | ||
| 5 and above | 3.6 (13) | 1.4 (5) | ||
| Planning to have more children in future | Yes | 50.1 (183) | 4.4 (16) | ˂0.01 |
| No | 21.6 (79) | 4.1 (15) | ||
| Depends on my husband | 7.9 (29) | 1.9 (7) | ||
| I don’t Know | 7.1 (26) | 2.7 (10) | ||
| Waiting duration before the conception of another child | < 2 years | 12 (36) | 3 (9) | ˂0.01 |
| 2 to 4 years | 50 (142) | 2 (6) | ||
| I don’t know | 23 (67) | 7 (21) | ||
Relationship between level of education and family planning methods
| Primary Education and below | Secondary School | Tertiary education | ||
|---|---|---|---|---|
| Male condoms | Count | 6 | 11 | 4 |
| % FP Method | 28.6% | 52.4% | 19.1% | |
| IUCD | Count | 9 | 34 | 45 |
| % FP Method | 10.2% | 38.6% | 41.2% | |
| Implant | Count | 4 | 23 | 24 |
| % FP Method | 7.9% | 45.1% | 47% | |
| Injection | Count | 6 | 57 | 39 |
| % FP Method | 5.9% | 55.9% | 38.2% | |
| Female Sterilization | Count | 0 | 4 | 1 |
| % FP Method | 0.0% | 80% | 20% | |
| Oral pills | Count | 7 | 27 | 21 |
| % FP Method | 12.7% | 49.1% | 38.2% | |
| None | Count | 3 | 22 | 16 |
| % FP Method | 7.5% | 52.50% | 40% | |