Evidence map›Paper›PMID 38627845›Full record

ArticleContraception and reproductive medicine2024

"I have come to remove it because of heavy bleeding": a mixed-methods study on early contraceptive implant removal and the underlying factors in eastern Uganda.

Janet Abiyo, Rose Chalo Nabirye, Brendah Nambozo, David Mukunya, Ritah Nantale, Faith Oguttu, Solomon Wani, Milton W Musaba, Josephine Tumuhamye, Joshua Epuitai

Abstract read
In one paragraph

Article in Contraception and reproductive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Janet AbiyoDepartment of Nursing, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda.
Rose Chalo NabiryeDepartment of Nursing, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda.
Brendah NambozoDepartment of Community and Public Health, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda. 262nbrendah@gmail.com.
David MukunyaDepartment of Community and Public Health, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda.
Ritah NantaleDepartment of Community and Public Health, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda.
Faith OguttuDepartment of Community and Public Health, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda.
Solomon WaniDepartment of Community and Public Health, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda.
Milton W MusabaDepartment of Obstetrics and Gynaecology, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda.
Josephine TumuhamyeMakerere University Hospital, Makerere University Kampala, Kampala, P.O.BOX 7062, Uganda.
Joshua EpuitaiDepartment of Nursing, Faculty of Health Sciences, Busitema University, Mbale, P.0 Box 1460, Uganda.

Funding

Health Professions Education and training for strengthening the health system and services in UgandaR25TW011213 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KIGULI, SARAH · 2018 to 2022
$3.4M
FIC NIH HHS R25 TW011213
6 · The paper itself

Abstract

backgroundEarly contraceptive implant removal without intentions to conceive predisposes women to unintended pregnancies.. Some of the unintended pregnancies end in unsafe abortions which further increases the risk of maternal mortality and morbidity. Therefore, we assessed the proportion of women who had early contraceptive implant removal. We also explored the reasons for early contraceptive implant removalamong women at Mbale Regional Referral Hospital in eastern Uganda.

methodsWe conducted a sequential explanatory mixed methods study at Mbale Regional Referral Hospital between November 2022 to December 2022. For quantitative data, we performed a secondary analysis on data extracted from the integrated family planning registers. We used systematic random sampling to select 600 clients' serial numbers from the registers. The outcome variable was early contraceptive implant removal defined as removal of the implant by the woman before 18 months from the time of insertion. For qualitative data, we conducted 11 in-depth interviews among women who had come for contraceptive implant removal at the family planning clinic. We also conducted two key informant interviews with midwives working at the family planning unit. Quantitative data were analysed using Stata version 14.0 (Stata Corp LLC, College Station, Texas, USA) while qualitative data were analysed by thematic content analysis.

resultsIn this study, 15% (91/600) of the women discontinued contraceptive implants within 12 months, 29% (175/600) within 18 months, 38% (230/600) within 24 months and 40% (240/600) within 36 months of insertion. Among the women who discontinued contraceptive implant use, only 6.7% (40/600) switched to another family planning method. Out of the 175 women who removed contraceptive implants early, side effects 61.1% (107/175) desire to conceive 53.1% ( 93/175),, and gender-based violence 8.6% (15/175) were the major reasons for removal. From the qualitative interviews, the major reasons for early contraceptive implant removal were side effects such as heavy menstrualbleeding.

conclusionA third of women discontinued contraceptive implant use within 18 months. Addressing concerns regarding side effects and male partner disapproval of modern contraceptives may improve continued use of implants.

Indexed as

Contraceptive implantsEarly implant removalFamily planningLong-acting contraceptives (LARCs)Mixed methodsUganda

Identifiers

PMID38627845
PMCPMC11020533

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.