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Abstract Background Despite the dramatic increase in opioid-related deaths in recent years, global access to treatment remains poor. A major barrier to people accessing Medication-assisted treatment of the opioid use disorder (MOUD) is the lack of providers who can prescribe and monitor MOUD. According to the World Drug Report, more young people are using drugs compared with previous generations and people in need of treatment cannot get it, women most of all. Nurse prescribers have the potential to enhance both access and treatment outcomes. Nurse prescribing practices do, however, vary greatly internationally. The aim of this scoping review is to explore nurse prescribing practices for MOUD globally with a view to informing equitable access and policies for people seeking MOUD. Methods This scoping review was informed by the preferred reporting items for systematic reviews and meta-analysis extension for scoping reviews (PRISMA-ScR). Electronic searches from 2010 to date were conducted on the following databases: PsycInfo, PubMed, Embase, and CINAHL. Only studies that met the eligibility criteria and described nurse prescribing policies and/or behaviours for MOUD were included. Results A total of 22 articles were included in the review which found several barriers and enablers to nurse prescribing of MOUD. Barriers included legislation constraints, lack of professional education and training and the presence of stigmatizing attitudes. Enablers included the presence of existing supportive services, prosocial messaging, and nurse prescriber autonomy. Conclusion The safety and efficacy of nurse prescribing of MOUD is well established, and its expansion can provide a range of advantages to people who are dependent on opiates. This includes increasing access to treatment. Nurse prescribing of MOUD can increase the numbers of people in treatment from ‘hard to reach’ cohorts such as rural settings, or those with less financial means. It holds significant potential to reduce a wide range of harms and costs associated with high-risk opiate use. To reduce drug-related death and the global burden of harm to individuals, families, and communities, there is an urgent need to address the two key priorities of nurse prescriber legislation and education. Both of which are possible given political and educational commitment.

Abstract Background Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. Methods We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes’ coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. Results In European ancestry samples, 14 genes were significantly associated (q

Abstract Background Sexual wellbeing is a critical yet often overlooked aspect of overall wellbeing for women across cancer diagnoses. Objective We identified profiles of women cancer survivors by sexual and psychosocial outcomes and compared groups for differences in relevant outcomes and individual characteristics. Methods Partnered women treated for cancer (n = 226; M age = 51.1 (12.6); 54% breast cancer; 86% White) completed a cross-sectional survey assessing sexual and psychosocial wellbeing. K-means cluster analysis modeled subgroups (clusters) with similar response patterns on measures of sexual wellbeing (sexual function, distress, sexual communication, and self-efficacy for communication), psychosocial wellbeing (quality of life (QOL), anxiety and depressive symptoms), and time since treatment. ANOVAs with Tukey post-hoc analyses and chi-square analyses tested cluster mean differences. Results Three distinct clusters of women differed by levels of adjustment in sexual and psychosocial wellbeing: higher-adjustment (32.7%), intermediate (37.6%), and lower-adjustment (29.6%). Significant differences among the clusters were found for all outcomes, with largest effect sizes for sexual distress (η2 p = 0.66), sexual communication (η2 p = 0.51), sexual satisfaction (η2 p = 0.44), and anxiety and self-efficacy for communication (η2 p = 0.32). The intermediate adjustment group was characterized by lower adjustment on measures of sexual and relationship function, and better adjustment on measures of QOL and mood. Conclusions Findings suggest that for women cancer survivors, measures of sexual and psychosocial wellbeing can model distinct profiles to inform targeted interventions to meet women’s needs. Evidence-based targeted interventions could lead to better sexual function, and ultimately to better QOL and overall wellbeing. Implications for practice A stepped intervention approach to sexual health care for women with cancer, where content and format depend on degree of sexual and psychosocial adjustment after cancer, may be most appropriate. Interdisciplinary teams may address sexual, emotional, and relationship functioning.

Abstract Background Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate

Abstract Background American Indians (AI) experience major colorectal cancer (CRC) screening disparities with commensurate inequity in CRC mortality and other outcomes. The purpose of this report is to describe the methods and early results of adapting a previously successful intervention for the AI community. Methods The educational content and delivery strategy of the parent intervention were adapted for AIs guided by an adaptation framework and cultural consultations with the community and clinicians. As part of the environmental scanning, we identified the need to substantively revise our data entry, collection, and tracking system and develop a REDCap database for this purpose. In this study, we staggered the implementation of the intervention in each facility to inform the process from one clinic to the next, and assess both the clinical outcomes of the tailored intervention and the implementation processes across two clinic settings, Facilities A and B. Results The REDCap database is an indispensable asset, and without it we would not have been able to obtain reliable aggregate screening data while improvements to facility electronic health records are in progress. Approximately 8% (n = 678) of screening-eligible patients have been exposed to the navigator intervention. Of those exposed to the navigator intervention, 37% completed screening. Conclusions With the small numbers of patients exposed so far to the intervention, it would be premature to draw any broad conclusions yet about intervention effects. However, early screening completion rates are substantial advances on existing rates, and we have demonstrated that a tailored navigator intervention for facilitating CRC screening was readily adapted with provider and community input for application to AIs. A REDCap database for tracking of CRC screening by navigators using tablets or laptops on- or offline is easy to use and allows for generation of aggregate, anonymized screening data. Trial registration. There was no health intervention meeting the criteria of a clinical trial. The University of Arizona Institutional Review Board granted exemption from obtaining informed consent from patients undergoing CRC screening after administration of the tailored navigation intervention as usual care.

Abstract Background During trials that span decades, new evidence including progress in statistical methodology, may require revision of original assumptions. An example is the continued use of a constant-effect approach to analyse the mortality reduction which is often delayed in cancer-screening trials. The latter led us to re-examine our approach for the upcoming primary mortality analysis (2020) of long-term follow-up of the United Kingdom Collaborative Trial of Ovarian Cancer Screening (LTFU UKCTOCS), having initially (2014) used the proportional hazards (PH) Cox model. Methods We wrote to 12 experts in statistics/epidemiology/screening trials, setting out current evidence, the importance of pre-specification, our previous mortality analysis (2014) and three possible choices for the follow-up analysis (2020) of the mortality outcome: (A) all data (2001–2020) using the Cox model (2014), (B) new data (2015–2020) only and (C) all data (2001–2020) using a test that allows for delayed effects. Results Of 11 respondents, eight supported changing the 2014 approach to allow for a potential delayed effect (option C), suggesting various tests while three favoured retaining the Cox model (option A). Consequently, we opted for the Versatile test introduced in 2016 which maintains good power for early, constant or delayed effects. We retained the Royston-Parmar model to estimate absolute differences in disease-specific mortality at 5, 10, 15 and 18 years. Conclusions The decision to alter the follow-up analysis for the primary outcome on the basis of new evidence and using new statistical methodology for long-term follow-up is novel and has implications beyond UKCTOCS. There is an urgent need for consensus building on how best to design, test, estimate and report mortality outcomes from long-term randomised cancer screening trials. Trial registration ISRCTN22488978 . Registered on 6 April 2000.

Abstract Background There is a trend to increasing use of routinely collected health data to ascertain outcome measures in trials. We report on the completeness and accuracy of national ovarian cancer and death registration in the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS). Methods Of the 202,638 participants, 202,632 were successfully linked and followed through national cancer and death registries of Northern Ireland, Wales and England. Women with registrations of any of 19 pre-defined ICD-10 codes suggestive of tubo-ovarian cancer or notification of ovarian/tubal/peritoneal cancer from hospital episode statistics or trial sites were identified. Copies of hospital and primary care notes were retrieved and reviewed by an independent outcomes review committee. National registration of site and cause of death as ovarian/tubal/peritoneal cancer (C56/C57/C48) obtained up to 3 months after trial censorship was compared to that assigned by outcomes review (reference standard). Results Outcome review was undertaken in 3110 women on whom notification was received between 2001 and 2014. Ovarian cancer was confirmed in 1324 of whom 1125 had a relevant cancer registration. Sensitivity and specificity of ovarian/tubal/peritoneal cancer registration were 85.0% (1125/1324; 95% CI 83.7–86.2%) and 94.0% (1679/1786; 95% CI 93.2–94.8%), respectively. Of 2041 death registrations reviewed, 681 were confirmed to have a tubo-ovarian cancer of whom 605 had relevant death registration. Sensitivity and specificity were 88.8% (605/681; 95% CI 86.4–91.2%) and 96.7% (1482/1533, 95% CI 95.8–97.6%), respectively. When multiple electronic health record sources were considered, sensitivity for cancer site increased to 91.1% (1206/1324, 95% CI 89.4–92.5%) and for cause of death 94.0% (640/681, 95% CI 91.9–95.5%). Of 1232 with cancer registration, 8.7% (107/1232) were wrongly designated as ovarian/tubal/peritoneal cancers by the registry and 4.0% (47/1172) of confirmed tubo-ovarian cancers were mis-registered. In 656 with death registrations, 7.8% (51/656) were wrongly assigned as due to ovarian/tubal/peritoneal cancers while 6.2% (40/645) of confirmed tubo-ovarian cancer deaths were mis-registered. Conclusion Follow-up of trial participants for tubo-ovarian cancer using national registry data will result in incomplete ascertainment, particularly of the site due in part to the latency of registration. This can be reduced by using other routinely collected data such as hospital episode statistics. Central adjudication by experts though resource intensive adds value by improving the accuracy of diagnoses. Trial registration ISRCTN: ISRCTN22488978 . Registered on 6 April 2000

Abstract Background Chronic liver disease (CLD) is usually asymptomatic but earlier detection is critical to permit life-saving interventions for those at risk due to high alcohol consumption and increased body mass index (BMI). The aim of this study was to estimate the association between the Enhanced Liver Fibrosis (ELF) test and liver-related events (LRE) and its performance in predicting LRE in postmenopausal women with risk factors in a nested case-control study within the United Kingdom Trial of Ovarian Cancer Screening (UKCTOCS). Methods In a cohort of 95,126 we performed a case-control study measuring ELF in blinded samples from 173 participants with self-reported high alcohol use and / or BMI ≥25 kg/m2 comprising all 58 cases who developed LRE and 115 controls matched for age, alcohol and BMI who did not develop LRE during median follow-up of 8.5 years. Results Using Cox regression at an ELF threshold of 10.51 hazard ratios (HR) for LRE were 4.88 (95% confidence interval (CI) 2.37–10.03) (unadjusted model) and 4.62 (95% CI 2.12–10.08) (adjusted for deprivation and self-reported hypertension, heart disease, hypercholesterolaemia and diabetes). At a threshold of 9.8 HR for LRE were 2.21 (95% CI 1.22–3.97) (unadjusted model) and 2.18 (95% CI 1.19–4.01) (adjusted). ELF was evaluated as a time dependent variable by generating time-dependent Cox models; HRs at an ELF threshold of 10.51 were 1.94 (95% CI 1.10–3.39) (unadjusted) and 2.05 (95% CI 1.16–3.64) (adjusted) and at a threshold of 9.8 HRs were 1.85 (95% CI 1.09–3.15) (unadjusted) and 1.80 (95% CI 1.04–3.13) (adjusted). Area under the receiver operating characteristic curve for recruitment ELF predicting LRE was 0.58 (95% CI 0.49–0.68), and for second subsequent ELF 0.61 (95% CI 0.52–0.71). Conclusion This study demonstrates the association between ELF and CLD in postmenopausal women with risk factors for liver disease, creating the opportunity to intervene to reduce liver-related mortality and morbidity. Although larger studies are required, these results demonstrate the potential of ELF as a prognostic tool in health checks in primary care. Trial registration This study is nested in UKCTOCS. UKCTOCS is registered as an International Standard Randomised Controlled Trial, number ISRCTN22488978 . Registered 06/04/2000.

Abstract Across the world, there has been a movement from traditional to modern eating, including a movement of traditional eating patterns from their origin culture to new cultures, and the emergence of new foods and eating behaviors. This trend toward modern eating is of particular significance because traditional eating has been related to positive health outcomes and sustainability. Yet, there is no consensus on what constitutes traditional and modern eating. The present study provides a comprehensive compilation of the various facets that seem to make up traditional and modern eating. Specifically, 106 facets were mentioned in the previous literature and expert discussions, combining international and interdisciplinary perspectives. The present study provides a framework (the TEP10 framework) systematizing these 106 facets into two major dimensions, what and how people eat, and 12 subdimensions. Hence, focusing only on single facets of traditional and modern eating is an oversimplification of this complex phenomenon. Instead, the multidimensionality and interplay between different facets should be considered to gain a comprehensive understanding of the trends, consequences, and underlying factors of traditional and modern eating.

Abstract Background To address an urgent need to advance the field of community engaged research, faculty at Vanderbilt University Medical Center and Meharry Medical College organized the national meeting "Advancing the Science of Community Engaged Research (CEnR): Innovative & Effective Methods of Stakeholder Engagement in Translational Research, Washington, DC September 14-15, 2017 (See Additional file 1). These meetings brought together a diverse group of stakeholders to share community engaged research evidence and practical knowledge for implementing new and enhancing existing research programs. The conference series’ goals were: 1) to expand the scientific basis for the community engaged research field by convening researchers, community partners, patient advocacy organizations, and others to share innovative methods and strategies; 2) to engage community representatives and patient advocates in the development of new approaches in community engaged research by meaningfully involving them in the planning, as speakers and presenters, and as conference participants; and 3) to catalyze innovative community engaged research using interactive meeting methods that promote learning, support collective problem solving, and encourage new conceptual frameworks. These conferences have advanced community engagement across the translational research spectrum in biomedical research. For the 2017 meeting, described here, the overarching theme was Innovative and Effective Methods of Stakeholder Engagement in Translational Research. Methods The forum was attended by over 210 participants. This conference used novel approaches to fulfill its objectives of participant diversity, meaningful stakeholder engagement, and eliciting varied distinct perspectives to advance the science of community engaged research. Innovative strategies for the conference included: Think Tanks focused on emerging community engaged research topics or topics in need of urgent attention. These dynamic group sessions provided for freely sharing ideas with the purpose of creating change and facilitating new research collaborations. Learning Labs offered unique opportunities to gain practical knowledge regarding innovative methods in community engaged research. Learning Labs also facilitated the wide broadcast of locally successful engagement methods with the goal of speeding the uptake and implementation of community engaged methods. Travel Scholarships were provided for twenty community and patient representatives to participate in the conference. The lack of travel funds was a significant barrier to stakeholder participation in prior community engaged research meetings. The scholarships expanded the role of community and patient representatives in setting research priorities and promoting methods development. Meaningful Engagement meant that community members and patients participated in decision making on all aspects of the conference planning, including the selection of themes, topics, and speakers, and were fully integrated into the conference as speakers, panelists, and moderators. Conclusions Community and stakeholder engagement can directly impact research by enhancing clinical trial design, increasing relevance, and increasing recruitment, accrual and retention (Staley K.: Exploring Impact: Public 53 Involvement in NHS, Public Health and Social Care Research – INVOLVE.; 2009, Johnson et al Clin Transl Sci 8:388-54 390, 2015, Joosten et al Acad Med 90:1646-1650, 2015). The 2017 Advancing the Science of Community Engaged Research meeting, Innovative and Effective Methods of Stakeholder Engagement in Translational Research facilitated meaningful engagement of diverse stakeholder groups including racial and ethnic minorities, community and patient representatives, and junior investigators. Of 210 attendees, 72 completed the evaluation, and, of those, 36% self-affiliated as community members, and 21% as patient/caregiver advocacy, faith-based, or tribal organization members. This conference 1) represented a step toward expanding the scientific basis for the community engaged research (CEnR) field; 2) catalyzed innovative community engaged research; and 3) enhanced the reach and impact of the scientific developments emerging from pioneering work in community engagement.

Abstract Background In the absence of routine ovarian cancer screening, promoting help-seeking in response to ovarian symptoms is a potential route to early diagnosis. The factors influencing women’s anticipated time to presentation with potential ovarian cancer symptoms were examined. Methods Cross-sectional questionnaires were completed by a sample of women at increased familial risk (n = 283) and population risk (n = 1043) for ovarian cancer. Measures included demographic characteristics, symptom knowledge, anticipated time to symptom presentation, and health beliefs (perceived susceptibility, worry, perceived threat, confidence in symptom detection, benefits and barriers to presentation). Structural equation modelling was used to identify determinants of anticipated time to symptomatic presentation in both groups. Results Associations between health beliefs and anticipated symptom presentation differed according to risk group. In increased risk women, high perceived susceptibility (r = .35***), ovarian cancer worry (r = .98**), perceived threat (r = −.18**), confidence (r = .16**) and perceiving more benefits than barriers to presentation (r = −.34**), were statistically significant in determining earlier anticipated presentation. The pattern was the same for population risk women, except ovarian cancer worry (r = .36) and perceived threat (r = −.03) were not statistically significant determinants. Conclusions Associations between underlying health beliefs and anticipated presentation differed according to risk group. Women at population risk had higher symptom knowledge and anticipated presenting in shorter time frames than the increased risk sample. The cancer worry component of perceived threat was a unique predictor in the increased risk group. In increased risk women, the worry component of perceived threat may be more influential than susceptibility aspects in influencing early presentation behaviour, highlighting the need for ovarian symptom awareness interventions with tailored content to minimise cancer-related worry in this population.

Abstract Background Monitoring treatment and early detection of fatal breast cancer (BC) remains a major unmet need. Aberrant circulating DNA methylation (DNAme) patterns are likely to provide a highly specific cancer signal. We hypothesized that cell-free DNAme markers could indicate disseminated breast cancer, even in the presence of substantial quantities of background DNA. Methods We used reduced representation bisulfite sequencing (RRBS) of 31 tissues and established serum assays based on ultra-high coverage bisulfite sequencing in two independent prospective serum sets (n = 110). The clinical use of one specific region, EFC#93, was validated in 419 patients (in both pre- and post-adjuvant chemotherapy samples) from SUCCESS (Simultaneous Study of Gemcitabine-Docetaxel Combination adjuvant treatment, as well as Extended Bisphosphonate and Surveillance-Trial) and 925 women (pre-diagnosis) from the UKCTOCS (UK Collaborative Trial of Ovarian Cancer Screening) population cohort, with overall survival and occurrence of incident breast cancer (which will or will not lead to death), respectively, as primary endpoints. Results A total of 18 BC specific DNAme patterns were discovered in tissue, of which the top six were further tested in serum. The best candidate, EFC#93, was validated for clinical use. EFC#93 was an independent poor prognostic marker in pre-chemotherapy samples (hazard ratio [HR] for death = 7.689) and superior to circulating tumor cells (CTCs) (HR for death = 5.681). More than 70% of patients with both CTCs and EFC#93 serum DNAme positivity in their pre-chemotherapy samples relapsed within five years. EFC#93-positive disseminated disease in post-chemotherapy samples seems to respond to anti-hormonal treatment. The presence of EFC#93 serum DNAme identified 42.9% and 25% of women who were diagnosed with a fatal BC within 3–6 and 6–12 months of sample donation, respectively, with a specificity of 88%. The sensitivity with respect to detecting fatal BC was ~ 4-fold higher compared to non-fatal BC. Conclusions Detection of EFC#93 serum DNAme patterns offers a new tool for early diagnosis and management of disseminated breast cancers. Clinical trials are required to assess whether EFC#93-positive women in the absence of radiological detectable breast cancers will benefit from anti-hormonal treatment before the breast lesions become clinically apparent.

Abstract Background Despite a myriad of attempts in the last three decades to diagnose ovarian cancer (OC) earlier, this clinical aim still remains a significant challenge. Aberrant methylation patterns of linked CpGs analyzed in DNA fragments shed by cancers into the bloodstream (i.e. cell-free DNA) can provide highly specific signals indicating cancer presence. Methods We analyzed 699 cancerous and non-cancerous tissues using a methylation array or reduced representation bisulfite sequencing to discover the most specific OC methylation patterns. A three-DNA-methylation-serum-marker panel was developed using targeted ultra-high coverage bisulfite sequencing in 151 women and validated in 250 women with various conditions, particularly in those associated with high CA125 levels (endometriosis and other benign pelvic masses), serial samples from 25 patients undergoing neoadjuvant chemotherapy, and a nested case control study of 172 UKCTOCS control arm participants which included serum samples up to two years before OC diagnosis. Results The cell-free DNA amount and average fragment size in the serum samples was up to ten times higher than average published values (based on samples that were immediately processed) due to leakage of DNA from white blood cells owing to delayed time to serum separation. Despite this, the marker panel discriminated high grade serous OC patients from healthy women or patients with a benign pelvic mass with specificity/sensitivity of 90.7% (95% confidence interval [CI] = 84.3–94.8%) and 41.4% (95% CI = 24.1–60.9%), respectively. Levels of all three markers plummeted after exposure to chemotherapy and correctly identified 78% and 86% responders and non-responders (Fisher’s exact test, p = 0.04), respectively, which was superior to a CA125 cut-off of 35 IU/mL (20% and 75%). 57.9% (95% CI 34.0–78.9%) of women who developed OC within two years of sample collection were identified with a specificity of 88.1% (95% CI = 77.3–94.3%). Sensitivity and specificity improved further when specifically analyzing CA125 negative samples only (63.6% and 87.5%, respectively). Conclusions Our data suggest that DNA methylation patterns in cell-free DNA have the potential to detect a proportion of OCs up to two years in advance of diagnosis and may potentially guide personalized treatment. The prospective use of novel collection vials, which stabilize blood cells and reduce background DNA contamination in serum/plasma samples, will facilitate clinical implementation of liquid biopsy analyses.

Abstract Background We investigated the risk of chronic liver disease (CLD) due to alcohol consumption and body mass index (BMI) and the effects of their interaction in a prospective cohort study of women recruited to the UKCTOCS trial. Methods 95,126 post-menopausal women without documented CLD were stratified into 12 groups defined by combinations of BMI (normal, overweight, obese) and alcohol consumption (none,

Abstract Background Economic dimensions of implementing quality improvement for diabetes care are understudied worldwide. We describe the economic evaluation protocol within a randomised controlled trial that tested a multi-component quality improvement (QI) strategy for individuals with poorly-controlled type 2 diabetes in South Asia. Methods/design This economic evaluation of the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) randomised trial involved 1146 people with poorly-controlled type 2 diabetes receiving care at 10 diverse diabetes clinics across India and Pakistan. The economic evaluation comprises both a within-trial cost-effectiveness analysis (mean 2.5 years follow up) and a microsimulation model-based cost-utility analysis (life-time horizon). Effectiveness measures include multiple risk factor control (achieving HbA1c