| Literature DB >> 33110625 |
Belay Amare Abebe1, Mulu Reda Terefe2.
Abstract
BACKGROUND: Despite improving the availability and use of Implants, discontinuation is becoming a public health concern. A significant proportion of women discontinuing the service before its due date, which is of concern in the health system and its consequence may lead to a program failure. This might have also social and economic consequences for users. Only 8% of married women in Ethiopia use implants. Apart from its low utilization, premature removal is common for unknown reasons. However, there is paucity of information on discontinuation of implants use and associated factors in the study area.Entities:
Keywords: Associative factors; Discontinuation; Implants
Year: 2020 PMID: 33110625 PMCID: PMC7583256 DOI: 10.1186/s40834-020-00128-3
Source DB: PubMed Journal: Contracept Reprod Med ISSN: 2055-7426
Sample size determination for magnitude and associated factors of Implants discontinuation among Implants user women in health facilities of Hawassa city, Southern Ethiopia, 2018/19
| Associated factors | Exposed outcome % | Unexposed outcome % | Sample size | Reference |
|---|---|---|---|---|
| Removal due to side effect | 75.6(side effect faced) | 60.2(side effect not faced) | 313 | [ |
| Follow up | 35.9(had follow up) | 15.76(hadn’t follow up) | 166 | [ |
Fig. 2Schematic presentation of sampling procedure for the study on discontinuation of implants and associated factors developed by principal investigator. Six months’ enrollment in Heath institutions of Hawassa city administration in both public hospitals, five HCs and two NGO clinics from family planning registration book, for sample selection (June–December/2018)
Socio-demographic characteristics of the study participants in health facilities of Hawassa city, Southern Ethiopia, 2019 (n = 351)
| Variables | Frequency | Percentage |
|---|---|---|
| 19–24 | 100 | 28.5 |
| 25–29 | 164 | 46.7 |
| 30–34 | 69 | 19.7 |
| = > 35 | 18 | 5.1 |
| Single | 8 | 2.3 |
| Married | 343 | 97.7 |
| Orthodox | 103 | 29.3 |
| Muslim | 20 | 5.7 |
| Protestant | 218 | 62.1 |
| Catholic | 9 | 2.6 |
| Others | 1 | 3 |
| Sidama | 146 | 41.6 |
| Wolayta | 82 | 23.4 |
| Amhara | 62 | 17.7 |
| Gurage | 25 | 7.1 |
| Oromo | 14 | 4.0 |
| Others* | 22 | 6.3 |
| House wife | 149 | 42.5 |
| Merchant | 62 | 17.7 |
| Private employee | 47 | 13.4 |
| Government employee | 65 | 18.5 |
| Student | 28 | 8.0 |
| Unable to read and write | 44 | 12.5 |
| Read and Write | 39 | 11.1 |
| Primary | 99 | 28.2 |
| Secondary | 82 | 23.4 |
| College and above | 87 | 24.8 |
| Unable to read and write | 24 | 7.0 |
| Read and Write | 23 | 6.7 |
| Primary | 55 | 16.0 |
| Secondary | 100 | 29.2 |
| College and above | 141 | 41.1 |
| Farmer | 21 | 6.1 |
| Merchant | 123 | 35.9 |
| Private employee | 59 | 17.2 |
| Government employee | 123 | 35.9 |
| Student | 7 | 2.0 |
| Others | 10 | 2.9 |
Obstetrics related factors for discontinuation of implants among implants user women in health facilities of Hawassa city, Southern Ethiopia, 2019 (n = 351)
| Variables | Frequency | Percentage |
|---|---|---|
| 0 | 28 | 8.0 |
| 1–2 | 207 | 59.0 |
| 3+ | 116 | 33.0 |
| 0 | 29 | 8.3 |
| 1–2 | 226 | 64.4 |
| 3–4 | 86 | 24.5 |
| 5+ | 10 | 2.8 |
| Yes | 107 | 30.5 |
| No | 244 | 69.5 |
| Yes | 239 | 68.1 |
| No | 112 | 31.9 |
| Within two years | 94 | 39.3 |
| After two years | 145 | 60.7 |
Contraceptives related characteristics for discontinuation of implants in Health facilities of Hawassa city, Southern Ethiopia, 2019 (n = 351)
| Variables | Frequency | Percentage |
|---|---|---|
| Implanon | 261 | 74.4 |
| Jaddle | 90 | 25.6 |
| Yes | 230 | 65.5 |
| No | 121 | 34.5 |
| OCP | 83 | 36.1 |
| Injectable | 176 | 76.5 |
| IUCD | 4 | 1.7 |
| Implants | 34 | 14.8 |
| Hospital | 162 | 46.2 |
| Health center | 141 | 40.2 |
| Health post | 2 | 0.6 |
| Family guidance | 40 | 11.3 |
| Others* | 6 | 1.7 |
| Yes | 327 | 93.2 |
| No | 24 | 6.8 |
| Yes | 165 | 47.0 |
| No | 186 | 53.0 |
| Yes | 272 | 77.5 |
| No | 79 | 22.5 |
| Yes | 136 | 38.7 |
| No | 215 | 61.3 |
| Own choice | 252 | 71.8 |
| My husband | 31 | 8.8 |
| Health professional | 65 | 18.5 |
| Health extension | 2 | 0.6 |
| My neighbor | 1 | 0.3 |
| Safety | 70 | 19.9 |
| Long protection | 150 | 42.7 |
| It can remove at any time | 86 | 24.5 |
| Immediate fertility return | 45 | 12.8 |
| Yes | 275 | 78.3 |
| No | 76 | 21.7 |
| Yes | 79 | 35.7 |
| No | 142 | 64.3 |
Others* Merry stopes international clinic, private hospitals and clinics
Fig. 3The main side effects for discontinuation of implants among implants user women in health facilities of Hawassa city administration, Southern Ethiopia, 2019. Others*: Insertion arm pain, achene, weight reduction and difficult to work
Fig. 4Proportion of implants discontinuation among implants user women in health facilities of Hawassa city administration, Southern Ethiopia, 2019
Factors associated with implants discontinuation among implants user women in health facilities of Hawassa city, Southern Ethiopia, 2019 (n = 351)
| Variables | LARCs discontinuation | AOR | ||
|---|---|---|---|---|
| House wife | 71 (47.7%) | 78 (52.3%) | 2.622 (0.855–8.041) | |
| Merchant | 30 (48.4%) | 32 (51.6%) | 2.613 (0.801–8.529) | |
| Private employee | 27 (57.4%) | 20 (42.6%) | 0.559 | 1.531 (0.456–5.141) |
| Government employee | 32 (49.2%) | 33 (50.8%) | 2.337 (0.71–7.694) | |
| Student | 18 (64.3%) | 10 (35.7%) | 1 | |
| Unable to read and write | 22 (50.0%) | 22 (50.0%) | 0.663 | 1.423 (0.360–5.633) |
| Read and Write | 23 (59.0%) | 16 (41.0%) | 0.605 | 0.798 (0.235–2.712) |
| Primary | 42 (42.4%) | 57 (57.6%) | 2.240 (0.793–6.329) | |
| Secondary | 44 (53.7%) | 38 (46.3%) | 0.962 | 1.095 (0.427–2.811) |
| College and above | 47 (54.0%) | 40 (46.0%) | 1 | |
| Unable to read and write | 13 (48.1%) | 14 (51.9%) | 0.708 | 0.581 (0.159–2.1177) |
| Read and Write | 15 (60.0%) | 10 (40.0%) | 0.465 | 0.351 (0.112–1.118) |
| Primary | 31 (56.4%) | 24 (43.6%) | 0.589 | 0.446 (0.189–1.052) |
| Secondary | 44 (44.0%) | 56 (56.0%) | 0.903 (0.444–1.836) | |
| College and above | 75 (52.1%) | 69 (47.9%) | 1 | |
| Yes | 106 (46.1%) | 124 (53.9%) | 1.613 (0.940–2.769) | |
| No | 72 (59.5%) | 49 (40.5%) | 1 | |
| Yes | 108 (65.5%) | 57 (34.5%) | ||
| No | 70 (37.6%) | 116 (62.4%) | 1 | |
| Yes | 171 (52.3%) | 156 (47.7%) | 1 | |
| No | 7 (29.2%) | 17 (70.8%) | 2.312 (0.825–6.480) | |
| Yes | 34 (25.0%) | 102 (75.0%) | ||
| No | 144 (67.0%) | 71 (33.0%) | 1 | |
| Yes | 155 (56.4%) | 120 (43.6%) | 1 | |
| No | 23 (30.3%) | 53 (69.7%) | ||
Significant at ***p < 0.0001, **p = 0.001, *p = 0.013, AOR Adjusted odds ratio