Skin Tear Management: A Multidisciplinary Education Project.

OBJECTIVE: To identify the number of skin tears present at the authors' facility and evaluate a multidisciplinary educational intervention to support treatment of skin tears. METHODS: The authors determined the prevalence of skin tears from an analysis of a wound audit dataset at Baycrest Health Sciences and compared it with the literature to inform the aims of the educational intervention. They developed an educational module and presented it to physicians and students at separate in-person sessions and to clinical care staff at a virtual session. Participants completed an evaluation survey after the education sessions to assess their knowledge and confidence with skin tear management and obtain their feedback about the session. RESULTS: The prevalence of skin tears at Baycrest hospital was 5.6%, which was low compared with the values reported in the literature. For the 10 studies reviewed, the median prevalence was 8.8% (range, 3.0%-22.1%). A total of 7 physicians, 12 students, and 7 clinical care staff completed the evaluation survey. All of the physicians (100%), 43% of students, and 57% of clinical care staff could classify an image of a skin tear; 86% of physicians, 33% of students, and 43% of clinical care staff identified the correct skin tear complications; and 71% of physicians, 0% of the students, and 29% of clinical care staff selected the appropriate dressing. Participants reported moderate to considerable increases in knowledge and confidence in skin tear management. CONCLUSIONS: This method of multidisciplinary teaching on skin tears was well received and useful in enhancing knowledge and confidence in identifying and treating skin tears.

Cardiometabolic multimorbidity and activity limitation: a cross-sectional study of adults using the Canadian Longitudinal Study on Aging data.

BACKGROUND: Cardiometabolic multimorbidity (CM) is the diagnosis of 2 or more cardiometabolic conditions. Multimorbidity and individual cardiometabolic conditions have been associated with activity limitation, a common form of disability, but few studies have investigated the association between CM and activity limitation. OBJECTIVES: To estimate the prevalence of activity limitation among Canadians with CM and to quantify the association between CM and activity limitation. METHODS: Using data from the Canadian Longitudinal Study on Aging, we conducted a cross-sectional analysis of activity limitation among Canadians aged 45-85 (n = 50,777; weighted n = 13,118,474). CM was defined as the diagnosis of 2 or more of diabetes/prediabetes, myocardial infarction, and stroke, and activity limitation was evaluated using the Older Americans Resources and Services scale. Descriptive statistics and logistic and multinomial logistic regression analyses were conducted to determine the association between CM and activity limitation. RESULTS: The estimated prevalence of activity limitation among participants living with CM was 27.4% compared with 7.5% with no cardiometabolic conditions. Activity limitation increased in prevalence and severity with the number of cardiometabolic conditions. People with CM had increased odds of activity limitation compared with those without any cardiometabolic conditions (adjusted relative risk ratio = 3.99, 95% confidence interval [3.35-4.75]), and the odds increased with each additional condition. Stroke survivors had greater odds of activity limitation than those without a history of stroke and the same number of cardiometabolic conditions. CONCLUSION: Activity limitation is common among Canadians living with CM. Odds of activity limitation increase with each additional cardiometabolic condition, especially for stroke survivors.

Cardiometabolic multimorbidity (CM) is a common pattern of multimorbidity characterized by the diagnosis of 2 or more cardiometabolic conditions, such as stroke, diabetes, and myocardial infarction. Previous research has found that individuals with stroke, diabetes, or myocardial infarction are at an increased risk of activity limitation, defined by the World Health Organization as the "difficulties an individual may have in executing activities." This study investigated the prevalence, risk, and severity of activity limitation among Canadians with CM and combinations of stroke, diabetes/prediabetes, and myocardial infarction. Using data from the Canadian Longitudinal Study on Aging, the estimated prevalence of activity limitation among those living with CM was 27.4% compared with 7.5% among individuals without any cardiometabolic conditions. Individuals living with CM also had increased odds of activity limitation compared with those with no cardiometabolic conditions. Importantly, the prevalence, severity, and risk of activity limitation increased with each additional condition, especially when the cluster of conditions included stroke, suggesting an additive effect of CM on activity limitation. Based on these findings, special efforts should be made to manage chronic disease risk in individuals with a history of stroke given the increased risk of activity limitation when combined with diabetes/prediabetes and myocardial infarction.

Narcissistic individuals exhibit poor recognition memory.

Here, we examine face memory among individuals who are self-focused and care little about others' needs: grandiose narcissists. Given narcissistic individuals' excessive self-focus and tendency to disregard the needs of others, they may struggle to recognize faces and their surrounding environment. Indeed, narcissistic individuals demonstrated worse recognition memory than non-narcissistic individuals in recognition memory tests for faces (Studies 1 [N = 332] and 2 [N = 261]). This difference also occurred for nonsocial stimuli (i.e., objects, houses, cars), suggesting a broad recognition deficit (Study 3A [N = 178], 3B [N = 203], 3C [N = 274]). Narcissistic individuals' excessive self-focus predicted this memory deficit (Study 4 [N = 187]). Grandiose narcissism may therefore influence visual recognition memory, highlighting the potential for future research linking personality and cognitive performance.

Digitally mediated relationships: How social representation in technology influences the therapeutic relationship in primary care.

Relationships, built on trust, knowledge, regard, and loyalty, have been demonstrated to be fundamental to health care delivery. Strong relationships between patients and providers have been linked to more compassionate care delivery, and better patient experience and outcomes, and may be particularly important in primary care. The rapid adoption of digital technologies since the onset of COVID-19 has led health care systems to seriously consider a "digital-first" primary care delivery model. Questions remain regarding what impact this transformation will have on the therapeutic relationship. Using a rapid ethnographic approach this study explores how patient and provider understandings of therapeutic relationships and digital health technologies may influence relationship-building or maintenance between patients with complex care needs and their care providers. Three team-based primary care sites in Toronto, Ontario, Canada were included in the study. Across the three sites 9 patients with chronic health conditions, 1 caregiver, and 10 healthcare providers (including family physicians, family medicine residents, social workers, and nurse practitioners) participated. Interviews were conducted with all participants and 8 observations of virtual clinical encounters (phone and video visits) were conducted. Using social representation theory as a lens, analysis revealed that participants' constructions of therapeutic relationships and digital technologies were informed by their identities, experiences, and expectations. For participants to see technologies as enabling to the therapeutic relationship, there needed to be alignment between how participants viewed the role of technology in care and in their lives, and how they recognized (or constructed) a good therapeutic relationship. This exploratory work suggests the need to think about how both patients' and providers' views of technology may determine whether digital technologies can be leveraged to meet patient needs while maintaining, or building, strong therapeutic relationships.

The impact of eHealth on relationships and trust in primary care: a review of reviews.

BACKGROUND: Given the increasing integration of digital health technologies in team-based primary care, this review aimed at understanding the impact of eHealth on patient-provider and provider-provider relationships. METHODS: A review of reviews was conducted on three databases to identify papers published in English from 2008 onwards. The impact of different types of eHealth on relationships and trust and the factors influencing the impact were thematically analyzed. RESULTS: A total of 79 reviews were included. Patient-provider relationships were discussed more frequently as compared to provider-provider relationships. Communication systems like telemedicine were the most discussed type of technology. eHealth was found to have both positive and negative impacts on relationships and/or trust. This impact was influenced by a range of patient-related, provider-related, technology-related, and organizational factors, such as patient sociodemographics, provider communication skills, technology design, and organizational technology implementation, respectively. CONCLUSIONS: Recommendations are provided for effective and equitable technology selection, application, and training to optimize the impact of eHealth on relationships and trust. The review findings can inform providers' and policymakers' decision-making around the use of eHealth in primary care delivery to facilitate relationship-building.

MedSafer to Support Deprescribing for Residents of Long-Term Care: a Mixed-Methods Study.

Background: Polypharmacy is prevalent in long-term care homes (LTCH) and increases the risk of adverse drug events. Feasible and effective deprescribing interventions applicable in the LTCH environment are needed. Methods: We performed a mixed methods study to evaluate the feasibility, applicability, and effectiveness of an electronic deprescribing tool, MedSafer, to facilitate quarterly medication reviews (QMRs) on two pilot units in an academic long-term care home (LTCH). Chart reviews collected resident health data. The prevalence of deprescribing at a standard QMR was compared with a QMR conducted three months later with MedSafer. Feedback from physicians on their experience with MedSafer was obtained through semi-structured interviews. Results: Physicians found MedSafer helpful in guiding deprescribing decisions and suggested software improvements to increase the feasibility in LTCH. The average number of medications deprescribed per resident was significantly higher at the MedSafer QMR (mean reduction = 1.1 medications, SD = 1.3) compared to the standard QMR (mean reduction = 0.5, SD = 0.9) (absolute difference of 0.5; SD 1.1; p = .02). Conclusion: MedSafer has the potential to increase deprescribing in LTCHs by flagging potentially inappropriate medications. Integration in the electronic medical record might increase uptake in LTCHs. Further research should investigate the generalizability of MedSafer in a larger population and in non-academic LTCHs.

Note: Sensitivity enhancement in continuous-wave electron paramagnetic resonance: adaptive signal averaging versus a moving average.

We compare improvements in signal-to-noise in continuous-wave electron paramagnetic resonance (CW EPR) spectra resulting from adaptive signal averaging and a simple moving average. An adaptive filter module that uses a recursive least-squares (RLS) algorithm was incorporated into a CW EPR data acquisition program. After optimization, the RLS filter produces a significant improvement in the signal-to-noise ratio over conventional digital signal (spectral) averaging alone. However, conventional averaging of spectra combined with a central moving average of the data points provided equal or greater signal-to-noise improvement in the CW EPR spectra.