Background: Artificial intelligence (AI) algorithms can be applied in breast cancer risk prediction and prevention by using patient history, scans, imaging information, and analysis of specific genes for cancer classification to reduce overdiagnosis and overtreatment. This scoping review aimed to identify the barriers encountered in applying innovative AI techniques and models in developing breast cancer risk prediction scores and promoting screening behaviors among adult females. Findings may inform and guide future global recommendations for AI application in breast cancer prevention and care for female populations. Methods: The PRISMA-SCR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) was used as a reference checklist throughout this study. The Arksey and O’Malley methodology was used as a framework to guide this review. The framework methodology consisted of five steps: (1) Identify research questions; (2) Search for relevant studies; (3) Selection of studies relevant to the research questions; (4) Chart the data; (5) Collate, summarize, and report the results. Results: In the field of breast cancer risk detection and prevention, the following AI techniques and models have been applied: Machine and Deep Learning Model (ML-DL model) (n = 1), Academic Algorithms (n = 2), Breast Cancer Surveillance Consortium (BCSC), Clinical 5-Year Risk Prediction Model (n = 2), deep-learning computer vision AI algorithms (n = 2), AI-based thermal imaging solution (Thermalytix) (n = 1), RealRisks (n = 2), Breast Cancer Risk NAVIgation (n = 1), MammoRisk (ML-Based Tool) (n = 1), Various MLModels (n = 1), and various machine/deep learning, decision aids, and commercial algorithms (n = 7). In the 11 included studies, a total of 39 barriers to AI applications in breast cancer risk prediction and screening efforts were identified. The most common barriers in the application of innovative AI tools for breast cancer prediction and improved screening rates included lack of external validity and limited generalizability (n = 6), as AI was used in studies with either a small sample size or datasets with missing data. Many studies (n = 5) also encountered selection bias due to exclusion of certain populations based on characteristics such as race/ethnicity, family history, or past medical history. Several recommendations for future research should be considered. AI models need to include a broader spectrum and more complete predictive variables for risk assessment. Investigating long-term outcomes with improved follow-up periods is critical to assess the impacts of AI on clinical decisions beyond just the immediate outcomes. Utilizing AI to improve communication strategies at both a local and organizational level can assist in informed decision-making and compliance, especially in populations with limited literacy levels. Conclusions: The use of AI in patient education and as an adjunctive tool for providers is still early in its incorporation, and future research should explore the implementation of AI-driven resources to enhance understanding and decision-making regarding breast cancer screening, especially in vulnerable populations with limited literacy.

Background: Opioid analgesic therapy has been traditionally used for pain management; however, the variability in patient characteristics, complexity in evaluating pain, availability of treatment within facilities, and U.S. physicians overprescribing opioids have contributed to the current opioid epidemic. Despite large research efforts investigating the patterns of postsurgical pain management and influencing factors, it remains unclear how these overall trends vary across the varying sizes and available resources of academic hospitals, community hospitals, and outpatient surgery centers. The primary aim of this scoping review was to examine the patterns of contemporary postoperative pain management across healthcare settings, including academic medical centers, community hospitals, and outpatient surgery centers. Specifically, this study investigates how prescription practices for opioids, NSAIDs, and acetaminophen are influenced by patient demographics, including sex, race, gender, insurance status, and other social determinants of health (SDoH), to inform equitable and patient-centered pain management strategies. Methods: This study utilized The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and was used as a reference checklist. The Arksey and O’Malley methodological framework was used to guide the review process. To ensure comprehensive coverage, searches were conducted across three major databases: PubMed, Embase, and Cochrane Library. Results: A total of 43 eligible studies were retained for analysis. The highest reported Healthy People 2030 category was Social and community context (n = 39), while the highest reported category of SDoH was age (n = 36). A total of 34 articles listed sex and age as SDoH. Additional SDoH examined were race/ethnicity (n = 17), insurance (n = 7), employment (n = 1), education (n = 4), and income (n = 1). This review suggests that there are significant gaps in the implementation of institution-specific, patient-centered, and equitable pain management strategies, particularly in academic hospitals, which our findings show have the highest rates of opioid and NSAID prescriptions (n = 26) compared to outpatient surgical centers (n = 8). Findings from our review of the literature demonstrated that while academic hospitals often adopt enhanced recovery protocols aimed at reducing opioid dependence, these protocols can fail to address the diverse needs of at-risk populations, such as those with chronic substance use, low socioeconomic status, or racial and ethnic minorities. Conclusions: Findings from this review are expected to have implications for informing both organizational-specific and nationwide policy recommendations, potentially leading to more personalized and equitable pain management strategies across different healthcare settings. These include guidelines for clinicians on addressing various aspects of postoperative pain management, including preoperative education, perioperative pain management planning, use of different pharmacological and nonpharmacological modalities, organizational policies, and transition to outpatient care.

Background: The United States (US) continues to face a substantial burden of cervical cancer, which has been the focus of many policies and public health prevention agendas. Of the numerous risk factors associated with cervical cancer, human papillomavirus (HPV) infection remains the leading and most preventable cause of this chronic disease. Therefore, one major public health prevention strategy to decrease cervical cancer cases is HPV vaccination. Another screening tool that enables cervical cancer prevention and early intervention is the Pap smear, the primary method of screening for abnormal cervical cells. However, barriers such as social determinants of health and ineffective patient–provider communication hinder access to such critical preventive measures. The purpose of this study was to provide a comprehensive overview of the knowledge level of US female adults, aged 21–65 years, concerning HPV infection and cervical cancer prevention using the Health Information National Trends Survey (HINTS) database. Additionally, it assessed associations between patient–provider communication and the completion of Pap smear tests. Methods: Descriptive statistics were computed to explore the sociodemographic characteristics of female survey participants as well as to gather frequency and percentages of responses related to knowledge of HPV, awareness of the HPV vaccine, and history of Pap smear. Chi-squared tests were carried out to examine the associations between awareness of a cervical cancer vaccine or HPV shot and whether the participant has had a Pap smear, heard of the HPV vaccine, and knowledge of HPV’s association with cervical cancer. Next, binary logistic regression models were built to determine the size and direction of the association between patient–provider communication metrics and measures of (1) having had a Pap smear, (2) participant knowledge of HPV, (3) participant awareness of causality between HPV and cervical cancer, and (4) participant knowledge of HPV vaccine and cervical cancer prevention measures. Results: A substantial majority of participants (81.8%) reported having heard of HPV. Among them, 72.1% recognized that HPV could cause cervical cancer. Awareness of the HPV vaccine was reported by 88.1%, suggesting a relatively high reach of effective public health messaging. Regarding Pap tests, 43.3% of participants had undergone testing within the past year, but 12.6% had not been tested in over five years, and 3.6% have never been tested. Bivariate analysis using chi-squared tests revealed significant associations between participants’ history of Pap smears and their knowledge of HPV infection, its role in cervical cancer, and HPV vaccination as a prevention tool. Participants who had undergone a Pap test were more likely to have heard of HPV (p < 0.001), were knowledgeable of the HPV vaccine (p < 0.001), and were more aware of the HPV vaccine (p < 0.001). Participants reporting “never” for certain communication criteria significantly had an increased risk of having lower knowledge levels about the HPV vaccine and other cervical cancer prevention measures. They also had almost twice the risk of having lower knowledge levels about HPV prevention measures when reporting “never” (RR = 1.997, 95% CI (1.018–3.916) for “spending enough time with patients” compared to those selecting “always”. Additionally, participants responding “sometimes” (RR = 1.889, 95% CI (1.187–3.005) rather than “always” to feeling involved in healthcare decisions had a significantly higher risk of being unaware of the vaccine or other cervical cancer prevention measures. Conclusions: Strengthening provider communication and education skills not only encourages greater patient knowledge and adherence to preventative measures, such as HPV and cervical cancer screening, but also reduces disparities in healthcare stemming from limited health literacy.

Objectives: This scoping review aims to fill research gaps by exploring four guiding research questions. First, we aim to understand the major barriers encountered by U.S. menstruating college students in accessing menstrual health products at their educational institutions, households, and community. Second, we aim to identify social determinants of health (SDoH) that significantly influence and contribute to menstrual health inequities experienced by U.S. college students. Third, we aim to explore the measurement tools that have been used to assess menstrual health inequities experienced by U.S. menstruating college students. Lastly, we aim to determine the lessons learned and recommendations to improve overall menstrual health outcomes in U.S. menstruating college students. Study Design: This scoping review followed the Arksey and O’Malley framework (2005) and incorporated recommendations from the Joanna Briggs Institute (JBI) for the extraction, analysis, and presentation of results. Methods: The four databases searched were PubMed, Embase (Ovid), Web of Science, and Cochrane Library (Medline). Included articles were (1) published between 2000 and 2023, (2) focused on menstruating college students in the United States, (3) addressed menstrual health, menstrual equity, and period poverty in college campuses in the U.S., and/or (4) explored challenges encountered by menstruating college students in accessing menstrual health products. Results: A total of seven studies were retained for assessment. The most frequently cited Healthy People 2030 categories were economic stability (n = 5) and social and community context (n = 5). The most-cited barriers were sorted into the “Financial Constraints and Accessibility” (n = 13) theme category. Conclusions: Our study highlights practical applications and several recommendations for the future design, adoption, implementation, and evaluation of effective evidence-based interventions to address period poverty and subsequent barriers imposed by menstruating college students specific SDoH. More research is needed to further explore the health implications of menstrual health on mental, physical, and socioeconomic outcomes of menstruating individuals, particularly young adults experiencing different challenges as they venture into college and build their careers.

Background: This systematic review has the following aims: (1) to identify measurement tools used globally by healthcare providers to diagnose PCOS in women at elevated risk; (2) to assess the comprehensiveness of these tools regarding mental health and chronic pain; (3) to list strategies for validating, disseminating, and implementing these tools; and (4) to provide future recommendations for experts in healthcare settings. Methods: This review utilized the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) and the Arksey and O’Malley York methodology. Studies were sourced from the PubMed, Embase, and Cochrane Library databases, with inclusion criteria focusing on peer-reviewed articles addressing PCOS diagnosis and associated comorbidities. Data extraction and analysis followed the Joanna Briggs Institute (JBI) recommendations. Results: A total of 63 studies met the inclusion criteria. Findings indicate that current screening tools for PCOS often lack comprehensive integration of mental health and chronic pain assessments. Tools like the PCOSQ and its updated version, PCOSQ-50, inadequately address pain-related symptoms, highlighting a gap in holistic patient evaluation. This review identified significant associations between PCOS and mental health disorders, including anxiety and depression, emphasizing the need for mental health screenings as part of PCOS management. Conclusions: There is a critical need for validated PCOS screening tools that encompass both physical and psychological aspects of the condition. Educating healthcare providers on the cultural and social determinants influencing PCOS can improve diagnosis and patient outcomes. Future research should focus on developing holistic screening tools and culturally relevant educational resources, aiming to enhance the overall quality of life for women with PCOS.

Background: There is a need for patient-provider dissemination and implementation frameworks, strategies, and protocols in palliative care settings for a holistic approach when it comes to addressing pain and other distressing symptoms affecting the quality of life, function, and independence of patients with chronic illnesses. The purpose of this scoping review is to explore patient-centered D&I frameworks and strategies that have been adopted in PC settings to improve behavioral and environmental determinants influencing health outcomes through evidence-based programs and protocols. Methods: The five step Arksey and O’Malley’s (2005) York methodology was adopted as a guiding framework: (1) identifying research questions; (2) searching for relevant studies; (3) selecting studies relevant to the research questions; (4) charting the data; and (5) collating, summarizing, and reporting results. Results: Only 6 out of the 38 (16%) included studies applied a D&I theory and/or framework. The RE-AIM framework was the most prominently cited (n = 3), followed by the Diffusion of Innovation Model (n = 2), the CONNECT framework (n = 1), and the Transtheoretical Stages of Change Model (n = 1). The most frequently reported ERIC strategy was strategy #6 “Develop and organize quality monitoring systems”, as it identified in all 38 of the included studies. Conclusion: This scoping review identifies D&I efforts to translate research into practice in U.S. palliative care settings. Results may contribute to enhancing future D&I initiatives for dissemination/adaptation, implementation, and sustainability efforts aiming to improve patient health outcomes and personal satisfaction with care received.