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Summary: International guidelines recommend women with an overweight or obese body mass index (BMI) aim to reduce their body weight prior to conception to minimize the risk of adverse perinatal outcomes. Recent systematic reviews have demonstrated that interpregnancy weight gain increases women's risk of developing adverse pregnancy outcomes in their subsequent pregnancy. Interpregnancy weight change studies exclude nulliparous women. This systematic review and meta‐analysis was conducted following MOOSE guidelines and summarizes the evidence of the impact of preconception and interpregnancy weight change on perinatal outcomes for women regardless of parity. Sixty one studies met the inclusion criteria for this review and reported 34 different outcomes. We identified a significantly increased risk of gestational diabetes (OR 1.88, 95% CI 1.66, 2.14, I2 = 87.8%), hypertensive disorders (OR 1.46 95% CI 1.12, 1.91, I2 = 94.9%), preeclampsia (OR 1.92 95% CI 1.55, 2.37, I2 = 93.6%), and large‐for‐gestational‐age (OR 1.36, 95% CI 1.25, 1.49, I2 = 92.2%) with preconception and interpregnancy weight gain. Interpregnancy weight loss only was significantly associated with increased risk for small‐for‐gestational‐age (OR 1.29 95% CI 1.11, 1.50, I2 = 89.9%) and preterm birth (OR 1.06 95% CI 1.00, 1.13, I2 = 22.4%). Our findings illustrate the need for effective preconception and interpregnancy weight management support to improve pregnancy outcomes in subsequent pregnancies. [ABSTRACT FROM AUTHOR]

Considering the coronavirus disease 2019 (COVID-19) pandemic, scholars were encouraged to cease collocated meetings. Many researchers have turned to remote collaboration to continue group-based projects. This paper focuses on the structure, processes, and outcomes that a group of physically distanced, embedded researchers used to collaborate across Canada to produce research outputs prior to the pandemic. The intent of this paper is to provide an overview of mechanisms that can facilitate meaningful and productive remote collaboration using online and digital technologies as a feasible and effective alternative mode of communication for research teams. [ABSTRACT FROM AUTHOR]

Background: Federated digital identifiers (FDIs) have been cited to improve the interoperability of data and information management while enhancing the privacy of individuals verifying their identity on the web. Many countries around the world have implemented FDIs in various sectors, such as banking and government. Similarly, FDIs could improve the experience for those wanting to access their health care information; however, they have only been introduced in a few jurisdictions around the world, and their impact remains unclear., Objective: The main objective of this environmental scan was to describe how FDIs have been established and implemented to enable patients' access to health care., Methods: We conducted this study in 2 stages, with the primary stage being a rapid review, which was supplemented by a targeted gray literature search. Specifically, the rapid review was conducted through a database search of MEDLINE and Embase, which generated a list of countries and their services that use FDIs in health care. This list was then used to conduct a targeted gray literature search using the Google search engine., Results: A total of 93 references from the database and targeted Google searches were included in this rapid review. FDIs were implemented in health care in 11 countries (Australia, Belgium, Canada, Denmark, Estonia, Finland, Iceland, Norway, Singapore, Sweden, and Taiwan) and exclusively used with a patient-accessible electronic health record system through a single sign-on interface. The most common FDIs were implemented nationally or provincially, and establishing them usually required individuals to visit a bank or government office in person. In contrast, some countries, such as Australia, allow individuals to verify their identities entirely on the web. We found that despite the potential of FDIs for use in health care to facilitate the amalgamation of health information from different data sources into one platform, the adoption of most health care services that use FDIs remained below 30%. The exception to this was Australia, which had an adoption rate of 90%, which could be correlated with the fact that it leveraged an opt-out consent model., Conclusions: This rapid review highlights key features of FDIs across regions and elements associated with higher adoption of the patient-accessible electronic health record systems that use them, like opt-out registration. Although FDIs have been reported to facilitate the collation of data from multiple sources through a single sign-on interface, there is little information on their impact on care or patient experience. If FDIs are used to their fullest potential and implemented across sectors, adoption rates within health care may also improve., (©Karishini Ramamoorthi, Vess Stamenova, Rebecca H Liu, Onil Bhattacharyya. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 08.02.2024.)

Background: Digital health interventions (DHIs) are a central focus of health care transformation efforts, yet their uptake in practice continues to fall short of their potential. In order to achieve their desired outcomes and impact, DHIs need to reach their target population and need to be used. Many factors can rapidly intersect between this dynamic of users and interventions. The application of theories, models, and frameworks (TMFs) can facilitate the systematic understanding and explanation of the complex interactions between users, practices, technology, and health system factors that underpin research questions. There remains a gap in our understanding of how TMFs have been applied to guide the evaluation of DHIs with real-world health system operations., Objective: This study aims to map TMFs used in studies to guide the evaluation of DHIs. The objectives are to (1) describe the TMFs and the constructs they target, (2) identify how TMFs have been prospectively used (ie, their roles) in primary studies to evaluate DHIs, and (3) to reflect on the relevance and utility of our findings for knowledge users., Methods: This scoping review was conducted in partnership with knowledge users using an integrated knowledge translation approach. We included papers (eg, reports; empirical quantitative, qualitative, and mixed methods studies; conference proceedings; and dissertations) if primary insights resulting from the application of TMFs were presented. Any type of DHI was eligible. Papers published from 2000 and onward were mainly identified from the following databases: MEDLINE (Ovid), CINAHL Complete (EBSCOhost), PsycINFO (Ovid), EBM Reviews (Ovid), and Embase (Ovid)., Results: A total of 156 studies published between 2000 and 2022 were included. A total of 68 distinct TMFs were identified across 85 individual studies. In more than half (85/156, 55%) of the included studies, 1 of following 6 prevailing TMFs were reported: Consolidated Framework for Implementation Research (n=39); the Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework (n=17); the Technology of Acceptance Model (n=16); the Unified Theory on Acceptance and Use of Technology (n=12); the Diffusion of Innovation Theory (n=10); and Normalization Process Theory (n=9). The most common intended roles of the 6 TMFs were to inform data collection (n=86), to inform data analysis (n=69), and to identify key constructs that may serve as barriers and facilitators (n=52)., Conclusions: As TMFs are most often reported to be applied to support data collection and analysis, researchers should consider more clearly synthesizing key insights as practical use cases to both increase the relevance and digestibility of their findings. There is also a need to adapt or develop guidelines for better reporting DHIs and the use of TMFs to guide evaluation. Hence, it would contribute to ensuring ongoing technology transformation efforts are evidence and theory informed rather than anecdotally driven., (©Geneviève Rouleau, Kelly Wu, Karishini Ramamoorthi, Cherish Boxall, Rebecca H Liu, Shelagh Maloney, Jennifer Zelmer, Ted Scott, Darren Larsen, Harindra C Wijeysundera, Daniela Ziegler, Sacha Bhatia, Vanessa Kishimoto, Carolyn Steele Gray, Laura Desveaux. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 05.02.2024.)

Background: The purpose of this scoping review was to map the challenges, strategies, and lessons learned from high-income countries that can be mobilized to inform decision-makers on how to best implement virtual primary care services during and after the COVID-19 pandemic. Findings of our scoping review identified the barriers and strategies within the Quadruple Aim components, which may prove to be an effective implementation strategy for virtual care adoption in primary care settings. Materials and Methods: The two concepts of virtual care and COVID-19 were searched in MEDLINE, EMBASE, and CINAHL on August 10, 2020, and Scopus was searched on August 15, 2020. The database searches returned 10,549 citations and an additional 766 citations were retrieved from searching the citations from the reference lists of articles that met all inclusion criteria. A total of 1,260 full-text articles were reviewed of which 38 articles met the eligibility criteria for inclusion in the review. Results: Seven key barriers and strategies were identified for the implementation of virtual primary care. Of the 38 articles included, the key barriers identified were equitable access to care ( n  = 20; 53%), lack of funding for virtual care ( n  = 14; 37%), negative patient and clinician perception ( n  = 11, 29%), lack of regulatory policies ( n  = 10, 26%), inadequate clinical workflows ( n  = 9, 21), lack of virtual care infrastructure ( n  = 8, 21%), and insufficient virtual care training and education ( n  = 5, 13%). Strategies included the following: increased funding ( n  = 15, 39%), improving clinical workflows ( n  = 13, 34%), appropriate education and training ( n  = 11, 29%), improving virtual care infrastructure and patient equity ( n  = 7, 18%), establishing regulatory policies ( n  = 5, 13%), and improving patient and clinician perceptions ( n  = 3, 7%). Conclusions: As many countries enter potential subsequent waves of the COVID-19 pandemic, applying early lessons learned to mitigate implementation barriers can help with the transition to equitable and appropriate virtual primary care services.