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Four exercise tests have been examined as guides to maximal oxygen uptake measured directly using as subjects 101 volunteer mine rescue brigadesmen. The following indices were compared: (1) maximal O2 uptake per kg body mass during running on treadmill ([ndot]O2maxkg-1), (2) Harvard pack index (HPI), (3) cardiac frequency in the sixth minute of treadmill walking (speed 5 kph, incline 7.5°), (4) cardiac frequency in the sixth minute of stepping exercise (box height 32cm, frequency 20 per minute), (5) workload per kg body mass associated with cardiac frequency of 150 per minute during progressive cycle test (2 min each at 100,125 and 150 W). The scores for tests 3,4 and 5 were intercorrelated (r in the range 0.72-0.80) and each could be used to predict HPI (coefficient of variations ≃ 10%). None of the tests were reliable predictors of [ndot]O2maxkg-1. Thus there is a need for an alternative approach. [ABSTRACT FROM PUBLISHER]

Objectives: Our aim in this work was to 1) explore barriers and enablers to patient and health-care provider (HCP) behaviours related to sick-day medication guidance (SDMG), 2) identify theory-informed strategies to advise SDMG intervention design, and 3) obtain perspectives on an eHealth tool for this purpose., Methods: A qualitative descriptive study using qualitative conventional content analysis was undertaken. Interviews and focus groups were held with patients and HCPs from January 2021 to April 2022. Data were analyzed using the Behaviour Change Wheel and Theoretical Domains Framework to inform intervention design., Results: Forty-eight people (20 patients, 13 pharmacists, 12 family physicians, and 3 nurse practitioners) participated in this study. Three interventions were designed to address the identified barriers and enablers: 1) prescriptions provided by a community-based care provider, 2) pharmacists adding a label to at-risk medications, and 3) built-in prompts for prescribing and dispensing software. Most participants accepted the concept of an eHealth tool and identified pharmacists as the ideal point-of-care provider. Challenges for an eHealth tool were raised, including credibility, privacy of data, medical liability, clinician remuneration and workload impact, and equitable access to use of the tool., Conclusions: Patients and HCPs endorsed non-technology and eHealth innovations as strategies to aid in the delivery of SDMG. These findings can guide the design of future theory-informed SDMG interventions., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Introduction: People with chronic medical conditions often take medications that improve long-term outcomes but which can be harmful during acute illness. Guidelines recommend that healthcare providers offer instructions to temporarily stop these medications when patients are sick (i.e., sick days). We describe the experiences of patients managing sick days and of healthcare providers providing sick day guidance to their patients., Methods: We undertook a qualitative descriptive study. We purposively sampled patients and healthcare providers from across Canada. Adult patients were eligible if they took at least two medications for diabetes, heart disease, high blood pressure and/or kidney disease. Healthcare providers were eligible if they were practising in a community setting with at least 1 year of experience. Data were collected using virtual focus groups and individual phone interviews conducted in English. Team members analyzed transcripts using conventional content analysis., Results: We interviewed 48 participants (20 patients and 28 healthcare providers). Most patients were between 50 and 64 years of age and identified their health status as 'good'. Most healthcare providers were between 45 and 54 years of age and the majority practised as pharmacists in urban areas. We identified three overarching themes that summarize the experiences of patients and healthcare providers, largely suggesting a broad spectrum in approaches to managing sick days: Individualized Communication, Tailored Sick Day Practices, and Variation in Knowledge of Sick Day Practices and Relevant Resources., Conclusion: It is important to understand the perspectives of both patients and healthcare providers with respect to the management of sick days. This understanding can be used to improve care and outcomes for people living with chronic conditions during sick days., Patient or Public Contribution: Two patient partners were involved from proposal development to the dissemination of our findings, including manuscript development. Both patient partners took part in team meetings and contributed to team decision-making. Patient partners also participated in data analysis by reviewing codes and theme development. Furthermore, patients living with various chronic conditions and healthcare providers participated in focus groups and individual interviews., (© 2023 The Authors. Health Expectations published by John Wiley & Sons Ltd.)

Rationale & Objective: Sick day medication guidance (SDMG) involves withholding or adjusting specific medications in the setting of acute illnesses that could contribute to complications such as hypotension, acute kidney injury (AKI), or hypoglycemia. We sought to achieve consensus among clinical experts on recommendations for SDMG that could be studied in future intervention studies., Study Design: A modified Delphi process following guidelines for conducting and reporting Delphi studies., Setting & Participants: An international group of clinicians with expertise relevant to SDMG was recruited through purposive and snowball sampling. A scoping review of the literature was presented, followed by 3 sequential rounds of development, refinement, and voting on recommendations. Meetings were held virtually and structured to allow the participants to provide their input and rapidly prioritize and refine ideas., Outcome: Opinions of participants were measured as the percentage who agreed with each recommendation, whereas consensus was defined as >75% agreement., Analytical Approach: Quantitative data were summarized using counts and percentages. A qualitative content analysis was performed to capture the context of the discussion around recommendations and any additional considerations brought forward by participants., Results: The final panel included 26 clinician participants from 4 countries and 10 clinical disciplines. Participants reached a consensus on 42 specific recommendations: 5 regarding the signs and symptoms accompanying volume depletion that should trigger SDMG; 6 regarding signs that should prompt urgent contact with a health care provider (including a reduced level of consciousness, severe vomiting, low blood pressure, presence of ketones, tachycardia, and fever); and 14 related to scenarios and strategies for patient self-management (including frequent glucose monitoring, checking ketones, fluid intake, and consumption of food to prevent hypoglycemia). There was consensus that renin-angiotensin system inhibitors, diuretics, nonsteroidal anti-inflammatory drugs, sodium/glucose cotransporter 2 inhibitors, and metformin should be temporarily stopped. Participants recommended that insulin, sulfonylureas, and meglitinides be held only if blood glucose was low and that basal and bolus insulin be increased by 10%-20% if blood glucose was elevated. There was consensus on 6 recommendations related to the resumption of medications within 24-48 hours of the resolution of symptoms and the presence of normal patterns of eating and drinking., Limitations: Participants were from high-income countries, predominantly Canada. Findings may not be generalizable to implementation in other settings., Conclusions: A multidisciplinary panel of clinicians reached a consensus on recommendations for SDMG in the presence of signs and symptoms of volume depletion, as well as self-management strategies and medication instructions in this setting. These recommendations may inform the design of future trials of SDMG strategies., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Rationale & Objective: Sick day medication guidance has been promoted to prevent adverse events for people with chronic conditions. Our aim was to summarize the existing sick day medication guidance and the evidence base for the effectiveness of interventions for implementing this guidance., Study Design: Scoping review of quantitative and qualitative studies., Setting & Population: Sick day medication guidance for people with chronic conditions including diabetes mellitus, kidney diseases, and cardiovascular diseases., Selection Criteria for Studies: A search of 6 bibliographic databases (Ovid MEDLINE, Ovid Embase, CINAHL, Scopus, Web of Science Core Collection, and Cochrane Library [via Wiley]) and a comprehensive gray literature search were completed in June 2021., Data Extraction: Intervention and study characteristics were extracted using standardized tools., Analytical Approach: Data were summarized descriptively, and our approach observed the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping reviews., Results: The literature search identified 2,308 documents, which were screened against the eligibility criteria, leading to 74 documents that were included. The majority of the identified documents (n = 55) were guidelines or educational resources. Of the 19 primary research studies identified, 10 studies described an intervention, with only 2 examining the effect of sick day medication guidance interventions within clinical care and no studies reporting beneficial effects on clinical outcomes. Most documents (n = 58) included guidance specific to patients with diabetes mellitus, with fewer including guidance for patients with chronic kidney disease (n = 9) or heart failure (n = 2)., Limitations: Risk of bias was not assessed., Conclusions: Many resources promoting sick day medication guidance have been developed; however, there is very little empirical evidence for the effectiveness of current approaches in implementing sick day medication guidance into practice. Recommendations for the use of sick day medication guidance will require further research to develop consistent, understandable, and usable approaches for its implementation within self-management strategies as well as empirical studies to demonstrate the effectiveness of these interventions., (© 2022 The Authors.)

Background: The suspected scaphoid fracture remains a diagnostic conundrum with over-treatment a common risk-averse strategy. Cross-sectional imaging remains the gold standard with MRI recommended but CT used by some because of easier access or limited MRI availability. The aim of this feasibility study was to evaluate whether cone beam computed tomography (CBCT) could support early diagnosis, or exclusion, of scaphoid fractures., Methods: Patients with a suspected scaphoid were recruited fracture between March and July 2020. All underwent a 4-view X-ray. If this examination was normal, they were immediately referred for a CBCT scan of the wrist. Those with a normal scan were discharged to research follow-up at 2 and 6-weeks., Results: 68 participants were recruited, 55 had a normal or equivocal X-ray and underwent CBCT. Nine additional radiocarpal fractures (16.2%) were demonstrated on CBCT, the remainder were discharged to research follow-up. Based on the 2-week and 6-week follow up three patients (4.4%) were referred for MRI to investigate persistent symptoms with no bony injuries identified., Conclusions: CBCT scans enabled a rapid pathway for the diagnosis or exclusion of scaphoid fractures, identifying other fractures and facilitating early treatment. The rapid pathway also enabled those with no bony injury to start rehabilitation, suggesting that patients can be safely discharged with safety-net advice following a CBCT scan., (Copyright © 2021. Published by Elsevier Inc.)

Objective: Integrative oncology is widely used by patients with breast cancer. This study aims to investigate the relationship between the survival outcomes of breast cancer patients and the level of involvement in integrative oncology at the institutions treating them., Methods: Claims-based data were used to find 4,815 newly diagnosed breast cancer patients treated between January 2013 and December 2014 for survival analysis. A scoring system was developed by asking oncologists about their institutions' efforts to educate, support, and provide funding for 12 complementary and lifestyle approaches. Cohort analysis using two-tailed chi-square and a separate multivariate model using SMOTE and lasso regression were used. Nine variables across patient and institutional profiles were included. The model coefficients were exponentiated and presented as odds ratios., Results: 173 patients mapped to 103 institutions and 103 oncologists. The median patient age was 51, and 8% were metastatic. Institutions were scored for integrative oncology involvement and placed into four cohorts. Low-scoring institutions showed less effort to educate, support, and provide integrative therapies compared to others. The 5-year survival of patients in the low cohort was directionally but not significantly lower than others. In the multivariate model, a composite integrative oncology score was shown to increase 5-year survival odds three times for institutions in the low-mid cohort and 48% in the mid-high, compared to the low., Conclusion: Crossing the threshold beyond 'low' involvement in integrative oncology represents a new path to incremental survival benefit for many cancer patients. Entities invested in the survival of breast cancer patients should increase education, access, and funding for a core set of six therapies: nutrition counselling, exercise counselling, patient support groups, spiritual services, meditation, and psycho-oncology support., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2021 Terri Crudup et al.)

Introduction: Seizure-related presentations or suspected seizures, (i.e. epileptic seizures, PNES, cardiogenic and acute symptomatic seizures) comprise 1.9% of the entire caseload for the Mid Yorkshire Hospitals NHS Trust,United Kingdom in 2020. Patients with suspected seizures who are diagnosed in the emergency department (ED) require appropriate immediate management and a robust follow-up pathway. National audits conducted in the United Kingdom (UK) (NASH 1, 2 and 3) have highlighted the wide intersite variability in care provided towards patients with suspected seizures and the need for better organised and accessible care. This quality improvement (QI) project aimed to improve patient safety by ensuring a streamlined referral process from the ED and subsequently reducing the risk of loss to follow-up., Methods: This QI project used the Institute of Healthcare Improvement (IHI) model for improvement to drive change and Lewin's change management model to guide stakeholder interaction. The project started in 2018 and employed three distinct Plan-Do-Study-Act (PDSA) cycles to drive improvement. The outcome measure was waiting time to be seen at the first seizure clinic from ED discharge., Results: The median waiting time pre-QI was 65.0 days (range 37 days to 163 days), and the median waiting time post-intervention was 31.0 days (range 8 days to 175 days). Using log-transformed data, the reduction in mean daily waiting time following the introduction of the intervention was statistically significant at the 5% significance level (t 30.9  = 9.42; p<0.001). Process measures were met with 100% compliance. Post-intervention period, there was a 4.1% (10/243) rejection rate of referrals from the ED by the neurology services. However, the project failed to meet NICE's recommendation of a waiting time of 14 days to be seen in the first seizure clinic., Discussion and Conclusion: This QI project has made significant improvements in the management of patients presenting with suspected seizures to the ED's at MYHT. Additionally, the project has provided opportunities for development of new protocols, cost savings and patient advice leaflets. Teamwork and organisational skills played a crucial part in the outcome of this QI project. The use of a theory-driven change management strategy was key to managing a large organisation with multiple stakeholders., (Copyright © 2021 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.)