Evidence map›Paper›PMID 36832488›Full record

ArticleChildren (Basel, Switzerland)2023

Project BETTER: A Family-Centered, Technology-Delivered Intervention for Pregnant People with Opioid Use Disorder.

Anna Beth Parlier-Ahmad, Michelle Eglovitch, Sarah Martin, Dace S Svikis, Caitlin E Martin

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Anna Beth Parlier-AhmadDepartment of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID 0000-0002-6862-9548
Michelle EglovitchDepartment of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
Sarah MartinSchool of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.
Dace S SvikisDepartment of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
Caitlin E MartinInstitute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA 23298, USA.ORCID 0000-0001-5560-458X
Virginia Commonwealth University · US

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
NCATS NIH HHS UL1 TR002649NCATS NIH HHS UL1TR002649
6 · The paper itself

Abstract

Birthing people with opioid use disorder (OUD) face unique stressors during the transition from pregnancy to postpartum that can negatively impact the maternal-infant dyad. This study aimed to describe the development of a family-centered, technology-delivered intervention tailored to help pregnant people receiving medication for OUD (MOUD) prepare for this transition. Formative data from patients and providers identified intervention content: (1) recovery-oriented strategies for the pregnancy-to-postpartum transition; (2) guidance around caring for an infant with opioid withdrawal symptoms; and (3) preparation for child welfare interactions. The content was reviewed in successive rounds by an expert panel and modified. Pregnant and postpartum people receiving MOUD pre-tested the intervention modules and provided feedback in semi-structured interviews. The multidisciplinary expert panel members (

Indexed as

child welfarefamily-centered carematernal–infant dyadmedication for opioid use disorderneonatal opioid withdrawal syndromeopioid use disordertechnology-delivered intervention

Identifiers

PMID36832488
PMCPMC9955349
OpenAlexW4320491989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.