Nurse practitioner/physician collaborative models of care: a scoping review protocol.

BACKGROUND: Before the COVID-19 pandemic, many long-term care (LTC) homes experienced difficulties in providing residents with access to primary care, typically delivered by community-based family physicians or nurse practitioners (NPs). During the pandemic, legislative changes in Ontario, Canada enabled NPs to act in the role of Medical Directors thereby empowering NPs to work to their full scope of practice. Emerging from this new context, it remains unclear how NPs and physicians will best work together as primary care providers. NP/physician collaborative models appear key to achieving optimal resident outcomes. This scoping review aims to map available evidence on existing collaborative models of care between NPs and physicians within LTC homes. METHODS: The review will be guided by the research question, "What are the structures, processes and outcomes of collaborative models of care involving NPs and Physicians in LTC homes?" This scoping review will be conducted according to the methods framework for scoping reviews outlined by Arksey and O'Malley and refined by Levac et al., Colquhoun et al., and Daudt et al., as well as the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Statement. Electronic databases (MEDLINE, Embase + Embase Classic, APA PsycInfo, Cochrane Central Register of Controlled Trials, AMED, CINAHL, Ageline, and Scopus), grey literature, and reference lists of included articles will be searched. English language studies that describe NP and physician collaborative models within the LTC setting will be included. DISCUSSION: This scoping review will consolidate what is known about existing NP/physician collaborative models of care in LTC homes. Results will be used to inform the development of a collaborative practice framework for long-term care clinical leadership.

Home- and community-level predictors of social connection in nursing home residents: A scoping review.

Background and Aims: Social connection is associated with better physical and mental health and is an important aspect of the quality of care for nursing home residents. The primary objective of this scoping review was to answer the question: what nursing home and community characteristics have been tested as predictors of social connection in nursing home residents? The secondary objective was to describe the measures of social connection used in these studies. Methods: We searched MEDLINE(R) ALL (Ovid), CINAHL (EBSCO), APA PsycINFO (Ovid), Scopus, Sociological Abstracts (ProQuest), Embase and Embase Classic (Ovid), Emcare Nursing (Ovid), and AgeLine (EBSCO) for research that quantified associations between nursing home and/or community characteristics and resident social connection. Searches were limited to English-language articles published from database inception to search date (July 2019) and update (January 2021). Results: We found 45 studies that examined small-scale home-like settings (17 studies), facility characteristics (14 studies), staffing characteristics (11 studies), care philosophy (nine studies), and community characteristics (five studies). Eight studies assessed multiple home or community-level exposures. The most frequent measures of social connection were study-specific assessments of social engagement (11 studies), the Index of Social Engagement (eight studies) and Qualidem social relations (six studies), and/or social isolation (five studies) subscales. Ten studies assessed multiple social connection outcomes. Conclusion: Research has assessed small-scale home-like settings, facility characteristics, staffing characteristics, care philosophy, and community characteristics as predictors of social connection in nursing home residents. In these studies, there was no broad consensus on best approach(es) to the measurement of social connection. Further research is needed to build an evidence-base on how modifiable built environment, staffing and care philosophy characteristics-and the interactions between these factors-impact residents' social connection.

Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review.

BACKGROUND: Visual analytics (VA) promotes the understanding of data with visual, interactive techniques, using analytic and visual engines. The analytic engine includes automated techniques, whereas common visual outputs include flow maps and spatiotemporal hot spots. OBJECTIVE: This scoping review aims to address a gap in the literature, with the specific objective to synthesize literature on the use of VA tools, techniques, and frameworks in interrelated health care areas of population health and health services research (HSR). METHODS: Using the 2018 PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, the review focuses on peer-reviewed journal articles and full conference papers from 2005 to March 2019. Two researchers were involved at each step, and another researcher arbitrated disagreements. A comprehensive abstraction platform captured data from diverse bodies of the literature, primarily from the computer and health sciences. RESULTS: After screening 11,310 articles, findings from 55 articles were synthesized under the major headings of visual and analytic engines, visual presentation characteristics, tools used and their capabilities, application to health care areas, data types and sources, VA frameworks, frameworks used for VA applications, availability and innovation, and co-design initiatives. We found extensive application of VA methods used in areas of epidemiology, surveillance and modeling, health services access, use, and cost analyses. All articles included a distinct analytic and visualization engine, with varying levels of detail provided. Most tools were prototypes, with 5 in use at the time of publication. Seven articles presented methodological frameworks. Toward consistent reporting, we present a checklist, with an expanded definition for VA applications in health care, to assist researchers in sharing research for greater replicability. We summarized the results in a Tableau dashboard. CONCLUSIONS: With the increasing availability and generation of big health care data, VA is a fast-growing method applied to complex health care data. What makes VA innovative is its capability to process multiple, varied data sources to demonstrate trends and patterns for exploratory analysis, leading to knowledge generation and decision support. This is the first review to bridge a critical gap in the literature on VA methods applied to the areas of population health and HSR, which further indicates possible avenues for the adoption of these methods in the future. This review is especially important in the wake of COVID-19 surveillance and response initiatives, where many VA products have taken center stage. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14019.

Social Connection in Long-Term Care Homes: A Scoping Review of Published Research on the Mental Health Impacts and Potential Strategies During COVID-19.

OBJECTIVES: Good social connection is associated with better health and wellbeing. However, social connection has distinct considerations for people living in long-term care (LTC) homes. The objective of this scoping review was to summarize research literature linking social connection to mental health outcomes, specifically among LTC residents, as well as research to identify strategies to help build and maintain social connection in this population during COVID-19. DESIGN: Scoping review. SETTINGS AND PARTICIPANTS: Residents of LTC homes, care homes, and nursing homes. METHODS: We searched MEDLINE(R) ALL (Ovid), CINAHL (EBSCO), PsycINFO (Ovid), Scopus, Sociological Abstracts (ProQuest), Embase and Embase Classic (Ovid), Emcare Nursing (Ovid), and AgeLine (EBSCO) for research that quantified an aspect of social connection among LTC residents; we limited searches to English-language articles published from database inception to search date (July 2019). For the current analysis, we included studies that reported (1) the association between social connection and a mental health outcome, (2) the association between a modifiable risk factor and social connection, or (3) intervention studies with social connection as an outcome. From studies in (2) and (3), we identified strategies that could be implemented and adapted by LTC residents, families and staff during COVID-19 and included the articles that informed these strategies. RESULTS: We included 133 studies in our review. We found 61 studies that tested the association between social connection and a mental health outcome. We highlighted 12 strategies, informed by 72 observational and intervention studies, that might help LTC residents, families, and staff build and maintain social connection for LTC residents. CONCLUSIONS AND IMPLICATIONS: Published research conducted among LTC residents has linked good social connection to better mental health outcomes. Observational and intervention studies provide some evidence on approaches to address social connection in this population. Although further research is needed, it does not obviate the need to act given the sudden and severe impact of COVID-19 on social connection in LTC residents.