Evidence map›Paper›PMID 27199563›Full record

ReviewSubstance abuse : research and treatment2016

Improving Access to Long-Acting Contraceptive Methods and Reducing Unplanned Pregnancy Among Women with Substance Use Disorders.

Kirsten I Black, Carolyn A Day

Open access · goldAbstract readReview
In one paragraph

Review in Substance abuse : research and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
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

27 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Increasing access to immediate postpartum contraceptive implants: a prospective clinical trial among patients with opioid use disorder.The European journal of contraception & reproductive health care : the official journal of the European Society of Contraception · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

2 authors at 1 institution in 1 country.

Kirsten I BlackCentral Clinical School, Sydney Medical School, The University of Sydney, NSW, Australia.
Carolyn A DayDiscipline of Addiction Medicine, Central Clinical School, Sydney Medical School, The University of Sydney, NSW, Australia.
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much has been written about the consequences of substance use in pregnancy, but there has been far less focus on the prevention of unintended pregnancies in women with substance use disorders (SUDs). We examine the literature on pregnancy incidence for women with SUDs, the clinical and economic benefits of increasing access to long-acting reversible contraceptive (LARC) methods in this population, and the current hurdles to increased access and uptake. High rates of unintended pregnancies and poor physical and psychosocial outcomes among women with SUDs underscore the need for increased access to, and uptake of, LARC methods among these women. A small number of studies that focused on improving access to contraception, especially LARC, via integrated contraception services predominantly provided in drug treatment programs were identified. However, a number of barriers remain, highlighting that much more research is needed in this area.

Indexed as

contraceptionlong-acting reversible contraceptionopioid substitution treatmentsubstance usewomen

Identifiers

PMID27199563
PMCPMC4869602
OpenAlexW2351082602

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.