We found important gender differences, with female rescuers showing inferior cardiopulmonary resuscitation performance, which can partially be explained by fewer unsolicited cardiopulmonary resuscitation measures and inferior female leadership. Future education of rescuers should take gender differences into account.
IMPORTANCE Shortcomings in the education of patients at hospital discharge are associated with higher risks for treatment failure and hospital readmission. Whether improving communication at discharge through specific interventions has an association with patient-relevant outcomes remains unclear. OBJECTIVE To conduct a systematic review and meta-analysis on the association of communication interventions at hospital discharge with readmission rates and other patient-relevant outcomes.
AIMS OF THE STUDY: There is increasing interest in better understanding of long COVID, a condition characterised by long-term sequelae — appearing or persisting after the typical convalescence period — of coronavirus disease 2019 (COVID-19). Herein, we describe long-term outcomes regarding residual symptoms and psychological distress in hospitalised patients 1 year after COVID-19. METHODS: This prospective cohort study included consecutive adult patients hospitalised for confirmed COVID-19 in two Swiss tertiary-care hospitals between March and June 2020. The primary endpoint was evidence of long COVID 1 year after discharge, defined as ≥1 persisting or new symptom related to COVID-19, from a predefined list of symptoms. Secondary endpoints included psychological distress and symptoms of post-traumatic stress disorder (PTSD). RESULTS: Among 90 patients included in the study, 63 (70%) had symptoms of long COVID 1 year after hospitalisation, particularly fatigue (46%), concentration difficulties (31%), shortness of breath (21%) and post-exertion malaise (20%). Three predictors, namely duration of hospitalisation (odds ratio [OR] 1.11, 95% confidence interval [CI] 1.00–1.22; p = 0.041), severity of illness (OR 1.19, 95% CI 1.04–1.37; p = 0.013), and self-perceived overall health status 30 days after hospitalisation (OR 0.97, 95% CI 0.94–1.00; p = 0.027) were associated with long COVID. Regarding secondary endpoints, 16 (18%) experienced psychological distress and 3 (3.3%) patients had symptoms of PTSD. CONCLUSION: A high proportion of COVID-19 patients report symptoms of long COVID 1 year after hospitalisation, which negatively affects their quality of life. The most important risk factors were severe initial presentation of COVID-19 with long hospital stays.
IMPORTANCE Data on long-term survival beyond 12 months after out-of-hospital cardiac arrest (OHCA) of a presumed cardiac cause are scarce.OBJECTIVE To investigate the long-term survival of adult patients after surviving the initial hospital stay for an OHCA.DATA SOURCES A systematic search of the EMBASE and MEDLINE databases was performed from database inception to March 25, 2021.STUDY SELECTION Clinical studies reporting long-term survival after OHCA were selected based on predefined inclusion and exclusion criteria according to a preregistered study protocol.DATA EXTRACTION AND SYNTHESIS Patient data were reconstructed from Kaplan-Meier curves using an iterative algorithm and then pooled to generate survival curves. As a separate analysis, an aggregate data meta-analysis was performed. MAIN OUTCOMES AND MEASURESThe primary outcome was long-term survival (>12 months) after OHCA for patients surviving to hospital discharge or 30 days after OHCA. RESULTSThe search identified 15 347 reports, of which 21 studies (11 800 patients) were included in the Kaplan-Meier-based meta-analysis and 33 studies (16 933 patients) in an aggregate data meta-analysis. In the Kaplan-Meier-based analysis, the median survival time for patients surviving to hospital discharge was 5.0 years (IQR, 2.3-7.9 years). The estimated survival rates were 82.8% (95% CI, 81.9%-83.7%) at 3 years, 77.0% (95% CI, 75.9%-78.0%) at 5 years, 63.9% (95% CI, 62.3%-65.4%) at 10 years, and 57.5% (95% CI, 54.8%-60.1%) at 15 years. Compared with patients with a nonshockable initial rhythm, patients with a shockable rhythm had a lower risk of long-term mortality (hazard ratio, 0.30; 95% CI, 0.23-0.39; P < .001). Different analyses, including an aggregate data meta-analysis, confirmed these results. CONCLUSIONS AND RELEVANCEIn this comprehensive systematic review and meta-analysis, long-term survival after 10 years in patients surviving the initial hospital stay after OHCA was between 62% and 64%. Additional research is needed to understand and improve the long-term survival in this vulnerable patient population.
Objectives Recent research suggests that the gender of health care providers may affect their medical performance. This trial investigated (1) the effects of the gender composition of resuscitation teams on leadership behaviour of first responders and (2) the effects of a brief gender‐specific instruction on leadership behaviour of female first responders. Methods This prospective randomised single‐blinded trial, carried out between 2008 and 2016, included 364 fourth‐year medical students of two Swiss universities. One hundred and eighty‐two teams of two students each were confronted with a simulated cardiac arrest, occurring in the presence of a first responder while a second responder is summoned to help. The effect of gender composition was assessed by comparing all possible gender‐combinations of first and second responders. The gender‐specific instruction focused on the importance of leadership, gender differences in self‐esteem and leadership, acknowledgement of unease while leading, professional role, and mission statement to lead was delivered orally for 10 min by a staff physician and tested by randomising female first responders to the intervention group or the control group. The primary outcome, based on ratings of video‐recorded performance, was the first responders' percentage contribution to their teams' leadership statements and critical treatment decision making. Results Female first responders contributed significantly less to leadership statements (53% vs. 76%; P = 0.001) and critical decisions (57% vs. 76%; P = 0.018) than male first responders. For critical treatment decisions, this effect was more pronounced (P = 0.007) when the second responder was male. The gender‐specific intervention significantly increased female first responder's contribution to leadership statements (P = 0.024) and critical treatment decisions (P = 0.034). Conclusions Female first responders contributed less to their rescue teams' leadership and critical decision making than their male colleagues. A brief gender‐specific leadership instruction was effective in improving female medical students' leadership behaviours.
Background Patients may prefer different levels of involvement in decision-making regarding their medical care which may influence their medical knowledge. Objective We investigated associations of patients’ decisional control preference (DCP) with their medical knowledge, ward round performance measures (e.g., duration, occurrence of sensitive topics), and perceived quality of care measures (e.g., trust in the healthcare team, satisfaction with hospital stay). Design This is a secondary analysis of a randomized controlled multicenter trial conducted between 2017 and 2019 at 3 Swiss teaching hospitals. Participants Adult patients that were hospitalized for inpatient care. Main Measures The primary outcome was patients’ subjective average knowledge of their medical care (rated on a visual analog scale from 0 to 100). We classified patients as active, collaborative, and passive according to the Control Preference Scale. Data collection was performed before, during, and after the ward round. Key Results Among the 761 included patients, those with a passive DCP had a similar subjective average (mean ± SD) knowledge (81.3 ± 19.4 points) compared to patients with a collaborative DCP (78.7 ± 20.3 points) and active DCP (81.3 ± 21.5 points), p = 0.25. Regarding patients’ trust in physicians and nurses, we found that patients with an active vs. passive DCP reported significantly less trust in physicians (adjusted difference, − 5.08 [95% CI, − 8.69 to − 1.48 points], p = 0.006) and in nurses (adjusted difference, − 3.41 [95% CI, − 6.51 to − 0.31 points], p = 0.031). Also, patients with an active vs. passive DCP were significantly less satisfied with their hospital stay (adjusted difference, − 7.17 [95% CI, − 11.01 to − 3.34 points], p < 0.001). Conclusion Patients with active DCP have lower trust in the healthcare team and lower overall satisfaction despite similar perceived medical knowledge. The knowledge of a patient’s DCP may help to individualize patient-centered care. A personalized approach may improve the patient-physician relationship and increase patients’ satisfaction with medical care. Trial Registration ClinicalTrials.gov (NCT03210987).
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