A content analysis of self-reported barriers and facilitators to preventing postpartum smoking relapse among a sample of current and former smokers in an underserved population.

To characterize the barriers and facilitators thatprevent postpartum relapse and maintain smoking abstinence among a socioeconomically underserved population, recruited through Philadelphia-area women, infants, and children clinics, in-person interviews were conducted with 30 women who had quit smoking for one or more pregnancies in the past 3 years to retrospectively describe their attempts to remain abstinent during the postpartum period. Responses were analysed using the constructs from the Cognitive-Social Health Information Processing model, which identifies the cognitive, affective and behavioral factors involved in goal-oriented self-regulatory actions, in the context of a vulnerable population of women. Motherhood demands were a significant source of relapse stress. Stresses associated with partner and family relationships also contributed to relapse. The presence of other smokers in the environment was mentioned by many women in our sample as affecting their ability to remain smoke-free postpartum. Participants reported four main strategies that helped them to successfully cope with postpartum cravings and relapses, including being informed of smoking risks, maintaining goal-oriented thoughts, focusing on their concerns about the baby's health and receiving positive social support from families and friends. Results provide guidance for the design of smoking relapse interventions that may address the unique stressors reported by underserved postpartum women.

A decade of studying implicit racial/ethnic bias in healthcare providers using the implicit association test.

Disparities in the care and outcomes of US racial/ethnic minorities are well documented. Research suggests that provider bias plays a role in these disparities. The implicit association test enables measurement of implicit bias via tests of automatic associations between concepts. Hundreds of studies have examined implicit bias in various settings, but relatively few have been conducted in healthcare. The aim of this systematic review is to synthesize the current knowledge on the role of implicit bias in healthcare disparities. A comprehensive literature search of several databases between May 2015 and September 2016 identified 37 qualifying studies. Of these, 31 found evidence of pro-White or light-skin/anti-Black, Hispanic, American Indian or dark-skin bias among a variety of HCPs across multiple levels of training and disciplines. Fourteen studies examined the association between implicit bias and healthcare outcomes using clinical vignettes or simulated patients. Eight found no statistically significant association between implicit bias and patient care while six studies found that higher implicit bias was associated with disparities in treatment recommendations, expectations of therapeutic bonds, pain management, and empathy. All seven studies that examined the impact of implicit provider bias on real-world patient-provider interaction found that providers with stronger implicit bias demonstrated poorer patient-provider communication. Two studies examined the effect of implicit bias on real-world clinical outcomes. One found an association and the other did not. Two studies tested interventions aimed at reducing bias, but only one found a post-intervention reduction in implicit bias. This review reveals a need for more research exploring implicit bias in real-world patient care, potential modifiers and confounders of the effect of implicit bias on care, and strategies aimed at reducing implicit bias and improving patient-provider communication. Future studies have the opportunity to build on this current body of research, and in doing so will enable us to achieve equity in healthcare and outcomes.

Preventing postpartum smoking relapse among inner city women: development of a theory-based and evidence-guided text messaging intervention.

BACKGROUND: Underserved women are at high risk for smoking relapse after childbirth due to their unique socioeconomic and postpartum stressors and barriers. Mobile text messaging technology allows delivery of relapse prevention programs targeted to their personal needs over time. OBJECTIVE: To describe the development of a social-cognitive theory-based and evidence-guided text messaging intervention for preventing postpartum smoking relapse among inner city women. METHODS: Guided by the cognitive-social health information processing framework, user-centered design, and health communication best practices, the intervention was developed through a systematic process that included needs assessment, followed by an iterative cycling through message drafting, health literacy evaluation and rewriting, review by target community members and a scientific advisory panel, and message revision, concluding with usability testing. RESULTS: All message content was theory-grounded, derived by needs assessment analysis and evidence-based materials, reviewed and revised by the target population, health literacy experts, and scientific advisors. The final program, "Txt2Commit," was developed as a fully automated system, designed to deliver 3 proactive messages per day for a 1-month postpartum smoking relapse intervention, with crave and lapse user-initiated message functions available when needed. CONCLUSIONS: The developmental process suggests that the application of theory and best practices in the design of text messaging smoking cessation interventions is not only feasible but necessary for ensuring that the interventions are evidence based and user-centered.