Correction to: Cluster identification, selection, and description in Cluster randomized crossover trials: the PREP-IT trials

An amendment to this paper has been published and can be accessed via the original article

Conditions and Dynamics That Impact Maternal Health Literacy among High Risk Prenatal-Interconceptional Women

The purpose of the study was to describe conditions and dynamics in the lives of high-risk, low-income, Southern United States prenatal-interconceptional women (n = 37) in a home visiting program that promoted maternal health literacy progression. In the Life Course Health Development (LCHD) Model, conditions were risk and protective factors that impacted health. Dynamics drove the complex, epigenetic relationships between risk and protective factors. Maternal health literacy promotion helped participants address conditions and dynamics to create positive life changes. This research was a retrospective, mixed methods study of women’s service records documenting care from prenatal admission to 24 months post-delivery. The Life Skills Progression Instrument (LSP) was scored to measure maternal health literacy progression. Ethnographic content analysis of visit notes triangulated with quantitative data enabled specificity of critical data elements. Subsequently, a complementary focus group was conducted with the Registered Nurse Case Managers (RNCM). Severe social conditions included devastating poverty, low educational achievement, transient housing, unstable relationships, incarceration, lack of continuous health insurance, and shortage of health care providers. Dynamics included severe psycho-social stressors, domestic violence, lack of employment, low income, low self-esteem and self-expectations, and social/family restraints upon women’s intended positive changes. An important protective factor was the consistent, stable, evidence-informed relationship with the RNCM. Findings from the focus group discussion supported content analysis results

Implementing stakeholder engagement to explore alternative models of consent: An example from the PREP-IT trials

Introduction: Cluster randomized crossover trials are often faced with a dilemma when selecting an optimal model of consent, as the traditional model of obtaining informed consent from participant's before initiating any trial related activities may not be suitable. We describe our experience of engaging patient advisors to identify an optimal model of consent for the PREP-IT trials. This paper also examines surrogate measures of success for the selected model of consent. Methods: The PREP-IT program consists of two multi-center cluster randomized crossover trials that engaged patient advisors to determine an optimal model of consent. Patient advisors and stakeholders met regularly and reached consensus on decisions related to the trial design including the model for consent. Patient advisors provided valuable insight on how key decisions on trial design and conduct would be received by participants and the impact these decisions will have. Results: Patient advisors, together with stakeholders, reviewed the pros and cons and the requirements for the traditional model of consent, deferred consent, and waiver of consent. Collectively, they agreed upon a deferred consent model, in which patients may be approached for consent after their fracture surgery and prior to data collection. The consent rate in PREP-IT is 80.7%, and 0.67% of participants have withdrawn consent for participation. Discussion: Involvement of patient advisors in the development of an optimal model of consent has been successful. Engagement of patient advisors is recommended for other large trials where the traditional model of consent may not be optimal