113 research outputs found

    Perceived stress, trust, safety and severity of SARS-CoV-2 infection among patients discharged from hospital during the COVID-19 pandemic's first wave: a PREMs survey

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    Aim To investigate experiences of stress, feelings of safety, trust in healthcare staff and perceptions of the severity of a SARS-CoV-2 infection among inpatients discharged from Valais Hospital, Switzerland, during the COVID-19 pandemic’s first wave. Methods Discharged patients aged 18 years or more (n=4665), hospitalised between 28 February and 11 May 2020, whether they had been infected by SARS-CoV-2 or not, were asked to complete a self-reporting questionnaire, as were their informal caregivers, if available (n=866). Participants answered questions from Cohen’s Perceived Stress Scale (PSS) (0=no stress, 40=severe stress), Krajewska-Kułak et al’s Trust in Nurses Scale and Anderson and Dedrick’s Trust in Physician Scale (10=no trust, 50=complete trust), the severity of a SARS-CoV-2 infection (1=not serious, 5=very serious), as well as questions on their perceived feelings of safety (0=not safe, 10=extremely safe). Results Of our 1341 respondents, 141 had been infected with SARS-CoV-2. Median PSS score was 24 (IQR1–3=19–29), median trust in healthcare staff was 33 (IQR1–3=31–36), median perceived severity of a SARS-CoV-2 infection was 4 (IQR1−3=3–4) and the median feelings of safety score was 8 (IQR1–3=8–10). Significant differences were found between males and females for PSS scores (p<0.001) and trust scores (p<0.001). No significant differences were found between males and females for the perceived severity of SARS-CoV-2 infection scores (p=0.552) and the feelings of safety (p=0.751). Associations were found between age and trust scores (Rs=0.201), age and perceived SARS-CoV-2 severity scores (Rs=0.134), sex (female) and perceived stress (Rs=0.114), and sex (female) and trust scores (Rs=0.137). Associations were found between SARS-CoV-2 infected participants and the perceived SARS-CoV-2 severity score (Rs=−0.087), between trust scores and feelings of safety (Rs=0.147), and perceived severity of a SARS-CoV-2 infection (Rs=0.123). Discussion The results indicated that inpatients experienced significant feelings of stress regarding perceived symptoms of the illness, yet this did not affect their feelings of safety, trust in healthcare staff or perception of the severity of SARS-CoV-2 infection. Future patient-reported experience measures research is needed to give a voice to healthcare users and facilitate comparison measures internationally

    Predicting Systematic Risk: Implications from Growth Options

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    Abstract In accordance with the well-known financial leverage effect, decreases in stock prices cause an increase in the levered equity beta for a given unlevered beta. However, as growth options are more volatile and have higher risk than assets in place, a price decrease may decrease the unlevered equity beta via an operating leverage effect. This is because price decreases are associated with a proportionately higher loss in growth options than in assets in place. Most of the existing literature focuses on the financial leverage effect: This paper examines both effects. We show, with a simple option pricing model, the opposing effects at work when the firm is a portfolio of assets in place and growth options. Our empirical results show that, contrary to common belief, the operating leverage effect largely dominates the financial leverage effect, even for initially highly levered firms with presumably few growth options. We then link variations in betas to measurable firm characteristics that proxy for the fraction of the firm invested in growth options. We show that these proxies jointly predict a large fraction of future cross-sectional differences in betas. These results have important implications on the predictability of equity betas, hence on empirical asset pricing and on portfolio optimization that controls for systematic risk

    Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

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    IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

    Protocol for a patient-reported experience measures (PREMs) survey of patients discharged during the COVID-19 pandemic and their family caregivers

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    Introduction In the Swiss canton of Valais, the first cases of SARS-CoV-2 were detected on 28 February 2020. Discharged patients’ and their family caregivers’ experiences in relation to safety, quality of care, trust and communication during the COVID-19 hospitalisation period remain unexplored. The study aims to collect the patient-reported experience measures (PREMs) survey of patients discharged during the COVID-19 pandemic and their family caregivers.Methods and analysis Patients aged ≥18 years, hospitalised between 28 February and 11 May 2020 and then discharged home, plus their family caregivers will be invited to complete a self-administrated questionnaire made up of 14 closed questions and 1 open-ended question. The questionnaire will include items on the patient’s hospital trajectory and assess the interpersonal trust placed in nurses and physicians based on Krajewska-Kułak et al’s Trust in Nurse Scale and Anderson et al’s Trust in Physician Scale. Participants’ perceived stress will be assessed using Cohen et al’s Perceived Stress Scale. Feelings of safety will be examined based on Dryhurst et al’s questionnaire on Risk Perception During Pandemics. After ethical clearance, data will be collected using a postal paper questionnaire and via an online web link. Descriptive and inferential statistics will be computed, and the open question will undergo a qualitative thematic analysis. We will analyse perceptions of the different hospital trajectories experienced by patients undergoing surgery with and without a SARS-CoV-2 infection.Ethics and dissemination The Human Research Ethics Committee of Vaud (2020-02025) authorised this study. Gathering experiences and learning about the impact of the COVID-19 pandemic on the social determinants of health among discharged patients and families fit in well with the Triple Aim framework and the PREMs survey. The study will formulate recommendations to support interventions in the face of the second wave of COVID-19 pandemic and their effects on patients’ and their family caregivers’ experiences

    Predicting systematic risk: Implications from growth options

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    In accordance with the well-known financial leverage effect, decreases in stock prices cause an increase in the levered equity beta for a given unlevered beta. However, as growth options are more volatile and have higher risk than assets in place, a price decrease may decrease the unlevered equity beta via an operating leverage effect. This is because price decreases are associated with a proportionately higher loss in growth options than in assets in place. Most of the existing literature focuses on the financial leverage effect: This paper examines both effects. We show, with a simple option pricing model, the opposing effects at work when the firm is a portfolio of assets in place and growth options. Our empirical results show that, contrary to common belief, the operating leverage effect largely dominates the financial leverage effect, even for initially highly levered firms with presumably few growth options. We then link variations in betas to measurable firm characteristics that proxy for the fraction of the firm invested in growth options. We show that these proxies jointly predict a large fraction of future cross-sectional differences in betas. These results have important implications on the predictability of equity betas, hence on empirical asset pricing and on portfolio optimization that controls for systematic risk.Sytematic risk Beta Financial leverage Operating leverage Assets in place Growth options
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