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AIMS: Women report worse health-related patient-reported outcomes (PROs) compared with men following acute myocardial infarction (AMI). However, this association is not well established when accounting for demographic and clinical patient characteristics at discharge. This knowledge is essential for clinicians when planning individualised care for patients following AMI. The aim of this study is to examine whether gender is associated with health-related PROs at discharge from a Danish heart centre, combining PROs with data from the national health and administrative registries. METHODS AND RESULTS: A cross-sectional study of 2131 patients with AMI discharged from a Danish heart centre responding to the following health-related PRO questionnaires: the Health-survey Short-Form-12 (SF-12), generating a physical component summary (PCS) and a mental component summary (MCS) score; the HeartQoL, providing a global, emotional, and physical score; the EuroQol five-dimensional questionnaire (EQ-5D-5L) and the EQ visual analogue scale (EQ VAS); the Hospital Anxiety and Depression Scale (HADS), generating an anxiety and depression score (HADS-A and HADS-D); the Edmonton Symptom Assessment Scale (ESAS); the Brief Illness Perception Questionnaire (B-IPQ). Patient-reported outcomes were linked to registry-based information adjusting for potential demographic and clinical confounding factors. In adjusted regression models, women reported worse health-related PROs compared with men in SF-12 PCS and SF-12 MCS, HeartQoL global, the HeartQoL emotional and HeartQoL physical score, EQ-5D-5L and EQ VAS, the HADS-A, ESAS, and in six out of eight B-IPQ items. CONCLUSIONS: Women reported worse health-related PROs compared with men. Health-related PROs have the potential to be further investigated to facilitate a more individualised healthcare follow-up after AMI.

Correction of 10.1007/s10869-020-09730-3

Reservoirs and dams are essential infrastructure in water management; thus, information of their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC) is crucial for understanding their properties and interactions in hydrological and biogeochemical cycles. However, knowledge of these reservoir characteristics is scarce or inconsistent at the national scale. Here, we introduce comprehensive reservoir datasets of 338 reservoirs in China, with a total of 470.6 km3 storage capacity (50% Chinese reservoir storage capacity). Given the scarcity of publicly available gauged observations and operational applications of satellites for hydrological cycles, we utilize multiple satellite altimetry missions (SARAL/AltiKa, Sentinel-3A and Sentinel-3B, CroySat-2, Jason-3, and ICESat-2) and imagery data from Landsat and Sentinel-2 to produce a comprehensive reservoir dataset on the WSE, SWA, and RWSC during 2010-2021. Validation against gauged measurements of 93 reservoirs demonstrates the relatively high accuracy and reliability of our remotely sensed datasets. (1) Across gauge comparisons of RWSC, the median statistics of the Pearson correlation coefficient (CC), normalized root mean square error (NRMSE), and root mean square error (RMSE) are 0.89, 11%, and 0.021 km3, with a total of 91% validated reservoirs (83 of 91) having good RMSE from 0.002 to 0.31 km3 and NRMSE values smaller than 20%. (2) Comparisons of WSE retracked by six satellite altimeters and gauges show good agreement. Specifically, the percentages of reservoirs having good and moderate RMSE values smaller than 1.0m for CryoSat-2 (validated in 30 reservoirs), SARAL/AltiKa (9), Sentinel-3A (34), Sentinel-3B (25), Jason-3 (11), and ICESat-2 (26) are 77%, 75%, 79%, 87%, 81%, and 82%, respectively. By taking advantages of six satellite altimeters, we are able to densify WSE observations across spatiotemporal scales. Statistically, around 96% o

A key requisite for successful organisational interventions is participation, meaning that employees and managers in collaboration identify and implement changes to the way work is organised, designed and managed (Nielsen & Noblet, 2018). From a scientific standpoint, the dominant method used to evaluate whether such interventions achieve the intended outcomes, in particular better employee wellbeing and working conditions, is the analyses of changes over time, for example through comparing before and after surveys distributed to workers (Richardson & Rothstein, 2008). If a significant improvement in wellbeing has happened, then researchers conclude that the intervention was a success. Less attention has been paid to if and how organisational members perceive the intervention to be a success (von Thiele Schwarz et al., 2021). Indeed, von Thiele Schwarz et al. (2021) argued that interventions should not only benefit science, but also the participating organisations. In this debate paper, we build on Weick’s sensemaking theory (Weick, 1995) and argue that engaging in organisational interventions provides stimuli and cues that organisational members translate into cognitive schemata. This sensemaking process is important to understand as it may influence how the organisational members will engage in future initiatives to improve employee wellbeing – and this sustainability should be included as a key part of whether an intervention is successful or not. We term this sustainability perspective change capability, i.e., as part of the intervention, organisational members should learn how to continually engage in improvement processes to improve employee wellbeing (Nielsen & Abildgaard, 2013). We propose a dual intervention outcome model integrating improvements in wellbeing and change capability. Thus, an intervention is successful when we find alignment between the before-and-after evaluation of wellbeing and organisational members’ sensemaking of t

Reservoir release is an essential variable as it affects hydrological processes and water availability downstream. This study aims to estimate reservoir release using a satellite‐based approach, specially focusing on the impacts of inflow simulations and reservoir water storage change (RWSC) on release estimates. Ten inflow simulations based on hydrological models and blending schemes are used in combination with three RWSC estimates based on two satellite‐based approaches. A case study is performed at the Ankang reservoir, China. The results demonstrate that release estimates show high skill, with normalized root‐mean‐square error (NRMSE) less than 0.12 and Kling‐Gupta Efficiency (KGE) over 0.65. The performance of release estimates is varying with and influenced by inflow simulations and RWSC estimates, with NRMSE ranging from 0.09–0.12 and KGE from 0.65–0.74. Based on time‐varying Bayesian Model Averaging (BMA) approaches and synthetic aperture radar (SAR) satellite datasets, more accurate inflow and RWSC estimates can be obtained, thus facilitating substantially release estimates. With multi‐source satellite datasets, temporal scale of reservoir estimates is increased (monthly and bi‐weekly), acting as a key supplement to in situ records. Overall, this study explores the possibility to reconstruct and facilitate reservoir release estimates in poorly gauged dammed basins using hydrological modeling techniques and multi‐source satellite datasets.