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The disruption in daily activity performance during COVID-19 lockdowns is widely understood to have impacted health, but a better understanding of how restricted performance of specific activities are associated with health is needed. This cross-sectional study answers the following question: How were changes in the performance of 16 daily activities associated with health during COVID-19 lockdowns? A total of 116 participants completed an online survey rating their health before and during COVID-19 lockdowns and comparing their recollection of the performance of 16 activities before COVID-19 with their performance during lockdowns. Multiple stepwise linear regression analysis was used to estimate the relationship between self-reported changes in activities during lockdowns and concurrent (during-lockdown) health status, while controlling for pre-COVID-19 health status. Only changes in activities that were uniquely and significantly associated with lockdown health status were retained in the final model. Health before COVID-19 accounted for 3.7% (P = 0.039) of the variance in health during COVID-19 lockdowns. After controlling for health before COVID-19, five types of activity were significantly and uniquely predictive of health during lockdowns, together accounting for 48.3% of the variance. These activities and the variances they accounted for were rest and sleep (29.5%, P < 0.001), play and recreational activities (8%, P < 0.001), work (4.8%, P = 0.002), personal hygiene (3.2%, P = 0.01), and healthy eating (2.8%, P = 0.013). The study suggests that these five types of activity should be prioritized in policy or interventions when participation in activity is constrained by lockdowns or comparable factors.
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COVID-19 , Nível de Saúde , Humanos , COVID-19/prevenção & controle , COVID-19/epidemiologia , Estudos Transversais , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , SARS-CoV-2 , Quarentena , Controle de Doenças Transmissíveis/métodos , Inquéritos e QuestionáriosRESUMO
Introduction The COVID-19 pandemic resulted in the cancellation of high school sports in spring 2020, a modified resumption of sports in the 2020-2021 academic year, and a return to pre-pandemic sports in 2021-2022. This cancellation had a major impact on the quality of life of adolescent athletes, but it is unknown exactly how these pandemic-driven sports disruptions on athlete baseline (preseason) symptoms affected quality of life. Therefore, the current study retrospectively evaluated symptom inventories from Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) assessments to determine whether the cancellation of sports during the COVID-19 pandemic affected baseline (preseason) self-reported symptoms among adolescent athletes. Methods Our study used a retrospective cohort design to evaluate high school athletes with complete ImPACT assessments in the academic years before (2018-2019 and 2019-2020), during (2020-2021), and after (2021-2022) the pandemic. Specifically, data from a 22-item symptom report called the Post-Concussion Symptom Scale (PCSS) assessed during ImPACT was collected and analyzed using generalized linear models with a Tweedie exponential dispersion model and post hoc Tukey's honestly significant difference tests. The main outcomes were the total symptom severity score and the affective cluster score. Secondary outcomes were the analysis of the vestibular-somatic, cognitive-sensory, and sleep-arousal symptom clusters. Results Of the 104,274 ImPACT assessments, the total symptom severity score on the PCSS was different across years (p<0.001). There were lower symptom scores in 2020-2021 (5.33, 95% CI = 5.13-5.54) than in 2018-2019 (6.82, 95% CI = 6.63-7.01), 2019-2020 (6.94, 95% CI = 6.75-7.14), and 2021-2022 (6.44, 95% CI = 6.25-6.64). The cluster scores on the PCSS for affective, cognitive-sensory, sleep-arousal, and vestibular-somatic were also lower (p<0.001) in 2020-2021 than in 2018-2019, 2019-2020, and 2021-2022. Conclusion Contrary to our expectations, total symptom severity and cluster scores on the PCSS during the pandemic (2020-2021) were significantly lower than during the years before and after the pandemic-driven sports disruptions, suggesting the pandemic did not negatively affect these athletes as expected. These results also suggested that self-reported symptoms utilized in the PCSS component of ImPACT may not be as sensitive to sports disruption among adolescent athletes as other quality-of-life measures, especially during the COVID-19 pandemic.
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Introduction: Health centers are community-based, patient directed primary care providers that offer accessible, high-quality primary care within medically underserved communities. Screening for cancer and managing complex chronic conditions such as diabetes, hypertension, obesity, and depression are vital services for the vulnerable populations seen by community health centers. Delivering care for complex chronic conditions and preventive services using virtual models that integrate self-care tools and technology is an important approach to increasing access for hard-to-reach patients served by health centers. Objective: This study aimed to explore the use of a virtual care model, applied using a systems approach and patient-driven tools and technology, on the performance of clinical and patient experience measures. Methods: A virtual care model, applied using a systems approach offered by the Value Transformation Framework (VTF), was combined with self-care tools and technology in twenty health centers across 17 states to drive improvement efforts. Changes in clinical measures and patient experience were compared. Results: A total of 385 patients were enrolled and 270 (70.1%) completed a baseline visit and at least four virtual visits during the six-month intervention period. Statistically significant improvements were seen in measures for HbA1c, systolic and diastolic blood pressure, and bodyweight. Among the 270 who completed the baseline and at least 4 virtual visits, the percentage up-to-date for colorectal cancer screening increased from 113/270 (41.9%) to 169/270 (62.6%) after six months, p<0.001, a 20.7% increase. Patients completing the baseline visit and at least 4 virtual visits reported a 10.7% decrease in depression and increased satisfaction with virtual care visits compared to in-person visits (p<0.001). Conclusion: Health centers applying the Value Transformation Framework's organizing framework to the use of virtual care models together with patient self-care tools, technology, and education, had improvements in measures for chronic and preventive conditions and patient experience.
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OBJECTIVE: To evaluate content validity (CV) and interrater reliability (IRR) of an acuity scoring tool developed for the couplet care/postpartum/nursery patient population and to determine if there was agreement between supervisor or director scoring and staff scoring. DESIGN: A scoring tool to assess the acuity of the couplet care/postpartum/nursery patients was developed. SETTING: Two hospitals: one Level 2 hospital, one Level 3 hospital. Unit-based patient care councils participated in the development, and all couplet care nurses participated in scoring patients for testing. MEASUREMENTS: The final tool was evaluated for CV and IRR using expert review, universal agreement scores, and discriminant content validation. RESULTS: Regarding CV for the Couplet Care Acuity Scoring Tool, the average of the number of experts in agreement divided by the total number of experts across all items was 1.00. Regarding IRR, the intraclass correlation coefficient was 0.85, indicating that the tool is valid and reliable for the study sample. CONCLUSION: The tool was reliable and valid in this study. Future testing is needed with larger samples and different health care facilities.
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Enfermeiras e Enfermeiros , Recursos Humanos de Enfermagem Hospitalar , Feminino , Humanos , Reprodutibilidade dos Testes , PacientesRESUMO
ABSTRACT: The early period of the COVID-19 pandemic necessitated a rapid increase in out-of-office care. To capture the impact from COVID-19 on care for patients with hypertension, a questionnaire was disseminated to community health center clinicians. The extent, types, and causes of care delays and disruptions were assessed along with adaptations and innovations used to address them. Clinician attitudinal changes and perspectives on future hypertension care were also assessed. Of the 65 respondents, most (90.8%) reported their patients with hypertension experienced care delays or disruptions, including lack of follow-up, lack of blood pressure assessment, and missed medication refills or orders. To address care delays and disruptions for patients with hypertension, respondents indicated that their health center increased the use of telehealth or other technology, made home blood pressure devices available to patients, expanded outreach and care coordination, provided medication refills for longer periods of time, and used new care delivery options. The use of self-measured blood pressure monitoring (58.5%) and telehealth (43.1%) was identified as the top adaptations that should be sustained to increase access to and patient engagement with hypertension care; however, barriers to both remain. Policy and system level changes are needed to support value-based care models that include self-measured blood pressure and telehealth.