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Background: Co-production is a collaborative approach to prepare, plan, conduct, and apply research with those who will use or be impacted by research (knowledge users). Our team of knowledge users and researchers sought to conduct and evaluate co-production of a systematic review on decision coaching. Methods: We conducted a mixed-methods case study within a review to describe team co-production of a systematic review. We used the Collaborative Research Framework to support an integrated knowledge translation approach to guide a team through the steps in co-production of a systematic review. The team agreed to conduct self-study as a study within a review to learn from belonging to a co-production research team. A core group that includes a patient partner developed and conducted the study within a review. Data sources were surveys and documents. The study coordinator administered surveys to determine participant preferred and actual levels of engagement, experiences, and perceptions. We included frequency counts, content, and document analysis. Results: We describe co-production of a systematic review. Of 17 team members, 14 (82%) agreed to study participation and of those 12 (86%) provided data pre- and post-systematic review. Most participants identified as women (n = 9, 75.0%), researchers (n = 7, 58%), trainees (n = 4, 33%), and/or clinicians (n = 2, 17%) with two patient/caregiver partners (17%). The team self-organized study governance with an executive and Steering Committee and agreed on research co-production actions and strategies. Satisfaction for engagement in the 11 systematic review steps ranged from 75 to 92%, with one participant who did not respond to any of the questions (8%) for all. Participants reported positive experiences with team communication processes (n = 12, 100%), collaboration (n = 12, 100%), and negotiation (n = 10–12, 83–100%). Participants perceived the systematic review as co-produced (n = 12, 100%) with collaborative (n = 8, 67%) and engagement activities to characterize co-production (n = 8, 67%). Participants indicated that they would not change the co-production approach (n = 8, 66%). Five participants (42%) reported team logistics challenges and four (33%) were unaware of challenges. Conclusions: Our results indicate that it is feasible to use an integrated knowledge translation approach to conduct a systematic review. We demonstrate the importance of a relational approach to research co-production, and that it is essential to plan and actively support team engagement in the research lifecycle. [ABSTRACT FROM AUTHOR]

Background: Addressing persistent and pervasive health inequities is a global moral imperative, which has been highlighted and magnified by the societal and health impacts of the COVID-19 pandemic. Observational studies can aid our understanding of the impact of health and structural oppression based on the intersection of gender, race, ethnicity, age and other factors, as they frequently collect this data. However, the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline, does not provide guidance related to reporting of health equity. The goal of this project is to develop a STROBE-Equity reporting guideline extension. Methods: We assembled a diverse team across multiple domains, including gender, age, ethnicity, Indigenous background, disciplines, geographies, lived experience of health inequity and decision-making organizations. Using an inclusive, integrated knowledge translation approach, we will implement a five-phase plan which will include: (1) assessing the reporting of health equity in published observational studies, (2) seeking wide international feedback on items to improve reporting of health equity, (3) establishing consensus amongst knowledge users and researchers, (4) evaluating in partnership with Indigenous contributors the relevance to Indigenous peoples who have globally experienced the oppressive legacy of colonization, and (5) widely disseminating and seeking endorsement from relevant knowledge users. We will seek input from external collaborators using social media, mailing lists and other communication channels. Discussion: Achieving global imperatives such as the Sustainable Development Goals (e.g., SDG 10 Reduced inequalities, SDG 3 Good health and wellbeing) requires advancing health equity in research. The implementation of the STROBE-Equity guidelines will enable a better awareness and understanding of health inequities through better reporting. We will broadly disseminate the reporting guideline with tools to enable adoption and use by journal editors, authors, and funding agencies, using diverse strategies tailored to specific audiences. [ABSTRACT FROM AUTHOR]

Background: Decision coaching is non-directive support delivered by a trained healthcare provider to help people prepare to actively participate in making healthcare decisions. This study aimed to understand how and under what circumstances decision coaching works for people making healthcare decisions.Methods: We followed the realist review methodology for this study. This study was built on a Cochrane systematic review of the effectiveness of decision coaching interventions for people facing healthcare decisions. It involved six iterative steps: (1) develop the initial program theory; (2) search for evidence; (3) select, appraise, and prioritize studies; (4) extract and organize data; (5) synthesize evidence; and (6) consult stakeholders and draw conclusions.Results: We developed an initial program theory based on decision coaching theories and stakeholder feedback. Of the 2594 citations screened, we prioritized 27 papers for synthesis based on their relevance rating. To refine the program theory, we identified 12 context-mechanism-outcome (CMO) configurations. Essential mechanisms for decision coaching to be initiated include decision coaches', patients', and clinicians' commitments to patients' involvement in decision making and decision coaches' knowledge and skills (four CMOs). CMOs during decision coaching are related to the patient (i.e., willing to confide, perceiving their decisional needs are recognized, acquiring knowledge, feeling supported), and the patient-decision coach interaction (i.e., exchanging information, sharing a common understanding of patient's values) (five CMOs). After decision coaching, the patient's progress in making or implementing a values-based preferred decision can be facilitated by the decision coach's advocacy for the patient, and the patient's deliberation upon options (two CMOs). Leadership support enables decision coaches to have access to essential resources to fulfill their role (one CMOs).Discussion: In the refined program theory, decision coaching works when there is strong leadership support and commitment from decision coaches, clinicians, and patients. Decision coaches need to be capable in coaching, encourage patients' participation, build a trusting relationship with patients, and act as a liaison between patients and clinicians to facilitate patients' progress in making or implementing an informed values-based preferred option. More empirical studies, especially qualitative and process evaluation studies, are needed to further refine the program theory. [ABSTRACT FROM AUTHOR]

Objectives We present a dynamic view of gender patterns in informal caregiving across Europe in a context of sociodemographic transformations. We aim to answer the following research questions: (a) has the gender gap in informal caregiving changed; (b) if so, is this due to changes among women and/or men; and (c) has the gender care gap changed differently across care regimes? Methods Multilevel growth curve models are applied to gendered trajectories of informal caregiving of a panel sample of 50+ Europeans, grouped into 5-year cohorts and followed across 5 waves of the Survey of Health, Ageing and Retirement in Europe survey, stratified by sex and adjusted for several covariates. Results For men in cohorts born more recently, there is a decrease in the prevalence of informal care outside the household, whereas cohort trajectories for women are mostly stable. Prevalence of care inside the household has increased for later-born cohorts for all without discernible changes to the gender care gap. Gender care gaps overall widened among later-born cohorts in the Continental cluster, whereas they remained constant in Southern Europe, and narrowed in the Nordic cluster. Discussion We discuss the cohort effects found in the context of gender differences in employment and care around retirement age, as well as possible demographic explanations for these. The shift from care outside to inside the household, where it mostly consists of spousal care, may require different policies to support carers, whose age profile and possible care burden seem to be increasing. [ABSTRACT FROM AUTHOR]

Objective: Gynecological cancer (GC) survivors have unmet needs when they complete primary cancer treatment. Despite this, no known research has summarized these needs and survivors' suggestions to address them. We conducted a scoping review to fill these gaps and develop a model useful to guide clinical discussions and/or interventions.Methods: English, full length, and accessible primary studies describing the needs of GC survivors were included. No restrictions on date nor country of publication were applied. Two reviewers screened and extracted data, which was verified by a third reviewer.Results: Seventy-one studies met the inclusion criteria for data extraction. Results were thematically grouped into seven dimensions: physical needs, sexuality-related concerns, altered self-image, psychological wellbeing, social support needs, supporting the return to work, and healthcare challenges and preferences. After consulting with a stakeholder group (a GC survivor, clinicians, and researchers), the dimensions were summarized into a proposed model to guide clinical assessments and/or interventions.Conclusion: Results illuminate the diverse needs of GC survivors as they complete primary cancer treatment and their recommendations for care to meet these needs.Practice Implications: The resulting model can be used to guide assessments, discussions and/or interventions to optimally prepare GC survivors for transition out of primary cancer treatment. [ABSTRACT FROM AUTHOR]