ArticleAdversity and resilience science2020
Best Practices for Engaging Pregnant and Postpartum Women at Risk of Substance Use in Longitudinal Research Studies: a Qualitative Examination of Participant Preferences.
Article in Adversity and resilience science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 13 citations in OpenAlex.
- Challenges, Potential Solutions in Recruiting and Retaining Participants for Alcohol Use Disorder Research: A Literature Review.Healthcare (Basel, Switzerland) · 2026Review
- Navigating complexity: understanding the experiences, motivations and challenges of conducting research with perinatal individuals who use opioids and other substances.BMC pregnancy and childbirth · 2026Article
- Experiences of pregnant and postpartum people of color engaged in a randomized clinical trial of medication to treat opioid use disorder during pregnancy: A "Positive Outliers" analysis.Journal of substance use and addiction treatment · 2026Article
- Engaging, recruiting, and retaining pregnant people from marginalized communities in environmental health cohort studies: a scoping review.BMC public health · 2025Article
- Integration of Peer Navigators Into Longitudinal Research.Journal of obstetric, gynecologic, and neonatal nursing : JOGNN · 2025Observational
- Strategies for Recruiting a Diverse Postpartum Survey Sample.Journal of racial and ethnic health disparities · 2025Article
- The HEALthy Brain and Child Development Study (HBCD): NIH collaboration to understand the impacts of prenatal and early life experiences on brain development.Developmental cognitive neuroscience · 2024Article
- Communications, engagement, and dissemination strategies for the HEALthy Brain and Child Development (HBCD) Study.Developmental cognitive neuroscience · 2024Article
- COVID testing hesitancy among pregnant patients: lessons learned from the COVID-19 pandemic about the unique needs and challenges of medically complex populations.BMC pregnancy and childbirth · 2024Article
- Transportation, childcare, lodging, and meals: Key for participant engagement and inclusion of historically underrepresented populations in the healthy brain and child development birth cohort.Journal of clinical and translational science · 2024Article
- Recruitment and retention strategies to promote research engagement among caregivers and their children: A scoping review.Journal of clinical and translational science · 2024Article
- Perception of Risks of Cannabis and Cannabidiol Use during Pregnancy: A Multi-Methods Study.Medical cannabis and cannabinoidsArticle
- Bridging the Gap: A Secondary Data Analysis of Implementation Outcomes and Symptom Trajectories of an eHealth Mental Health and Parenting Treatment Among Mothers With and Without At-Risk Substance Use.Substance use : research and treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 8 institutions in 1 country.
Funding
Abstract
There are significant barriers in engaging pregnant and postpartum women that are considered high-risk (e.g., those experiencing substance use and/or substance use disorders (SUD)) into longitudinal research studies. To improve recruitment and retention of this population in studies spanning from the prenatal period to middle childhood, it is imperative to determine ways to improve key research engagement factors. The current manuscript uses a qualitative approach to determine important factors related to recruiting, enrolling, and retaining high-risk pregnant and postpartum women. The current sample included 41 high-risk women who participated in focus groups or individual interviews. All interviews were analyzed to identify broad themes related to engaging high-risk pregnant and parenting women in a 10-year longitudinal research project. Themes were organized into key engagement factors related to the following: (1) recruitment strategies, (2) enrollment, and (3) retention of high-risk pregnant and parenting women in longitudinal research studies. Results indicated recruitment strategies related to ideal recruitment locations, material, and who should share research study information with high-risk participants. Related to enrollment, key areas disclosed focused on enrollment decision-making, factors that create interest in joining a research project, and barriers to joining a longitudinal research study. With regard to retention, themes focused on supports needed to stay in research, barriers to staying in research, and best ways to stay in contact with high-risk participants. Overall, the current qualitative data provide preliminary data that enhance the understanding of a continuum of factors that impact engagement of high-risk pregnant and postpartum women in longitudinal research with current results indicating the need to prioritize recruitment, enrollment, and retention strategies in order to effectively engage vulnerable populations in research.
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What OpenQuestion holds
Registered trials
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.