Evidence map›Paper›PMID 29949633›Full record

ArticlePloS one2018

Correlates of long-acting reversible contraception uptake among rural women in Guatemala.

Kirsten Austad, Pooja Shah, Peter Rohloff

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

3 authors.

Kirsten AustadDivision of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0001-5237-2955
Pooja ShahWuqu' Kawoq | Maya Health Alliance, Santiago Sacatepéquez, Guatemala.
Peter RohloffWuqu' Kawoq | Maya Health Alliance, Santiago Sacatepéquez, Guatemala.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn many low-resource settings around the world utilization of long-acting reversible contraception (LARC) is low, in part due to access barriers. We sought to explore LARC utilization patterns as well as factors associated with LARC initiation by women seeking contraception in rural Guatemala from a program working to reduce contraception access barriers. STUDY

designWe analyzed data from a program that provides family planning in six remote, primarily indigenous, villages in Guatemala with limited access to alternative health services. Methods are free and delivered directly within villages by culturally competent providers. We conducted a retrospective chart review of all 288 women who initiated a contraceptive method over a 16-month period and conducted a logistic regression to obtain adjusted odds ratios (OR) for predictors of LARC uptake.

resultsOverall 79.2% of women elected a LARC method. More than half of women (49.8%) switched to LARC from short-acting hormonal methods. In the univariate analysis prior use of short-acting method (p = 0.014), number of prior methods (p = 0.049), and current contraceptive use (p<0.01) were significantly associated with choosing a LARC. In the logistic regression model current use of contraception remained significant (OR 3.29, 95% CI 1.67-8.04). Report of abnormal bleeding or other side effects from prior short-acting method use did not predict LARC uptake (p = 0.82 and p = 0.079).

conclusionsMost women in this marginalized population opted for a LARC method. IMPLICATIONS: Low utilization of LARCs may be related to service delivery factors. Further research is needed to validate these conclusions prospectively and in less selected populations.

Indexed as

Long-Acting Reversible ContraceptionPatient Acceptance of Health CareAdultFamily Planning ServicesFemaleGuatemalaHumansRetrospective StudiesRural PopulationYoung Adult

Identifiers

PMID29949633
PMCPMC6021094

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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.