scholarly journals Quality assessment of linked Canadian clinical administrative hospital and vital statistics death data

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Nancy Rodrigues ◽  
Maureen Kelly ◽  
Tobi Henderson
Keyword(s):  
Assessment Tool ◽  
Vital Statistics ◽  
Data Availability ◽  
Supplementary Information ◽  
Five Dimensions ◽  
Tracking Process ◽  
Data Assessment ◽  
Hospital Deaths ◽  
And Performance ◽  
Discharge From Hospital

IntroductionThree Canadian clinical-administrative hospital databases were linked to the Canadian Vital Statistics Death Database (CVSD) to provide information about patients who died following discharge from hospital as well as supplementary information about patients that died in-hospital. Quality was assessed using a guided approach and through feedback from initial users. Objectives and ApproachThe linked datasets were created to develop and validate health care indicators and performance measures and perform outcome analyses. It is therefore imperative to evaluate the data’s fitness for use. Quality was assessed by calculating coverage of deaths for all linked contributors, creating a profile of the linked dataset and analyzing issues that were identified by users. These analyses were guided by an existing Data Source Assessment Tool, which provides a set of criteria that allow for assessment across five dimensions of quality, thus allowing for appropriate determination of a given set of data’s fitness for use. ResultsDeterministic linkage of the datasets resulted in linkage rates that ranged from 66.9% to 90.9% depending on the dataset or data year. Linkage rates also varied by Canadian jurisdictions and patient cohort. Variables had good data availability with rates of 95% or higher. Initial users identified a significant number of duplicate records that were flagged to and corrected by the data supplier. 1.4\% of acute hospital deaths had discrepancies in the death date captured in the two linked sources; the vast majority had a difference of only one day. A user group and issue tracking process were created to share information about the linked data and guarantee that issues are triaged to the appropriate party and allow for timely follow up with the data supplier. Conclusion/ImplicationsDocumentation provided by the data supplier was vital to understanding the linkage methodology and its impact on linkage rates. A guided data assessment ensured that strengths and limitations were identified and shared to support appropriate use. Feedback to the data supplier is supporting ongoing improvements to the linkage methodology.

scholarly journals Concussion in para sport: the first position statement of the Concussion in Para Sport (CIPS) Group

2021 ◽  
pp. bjsports-2020-103696
Author(s):  
Richard Weiler ◽  
Cheri Blauwet ◽  
David Clarke ◽  
Kristine Dalton ◽  
Wayne Derman ◽  
...  
Keyword(s):  
Consensus Statement ◽  
Assessment Tool ◽  
Return To Sport ◽  
Position Statement ◽  
Assessment Tools ◽  
Future Research ◽  
Concussion Management ◽  
Rule Changes ◽  
Specific Rule ◽  
And Performance

Concussion is a frequent injury in many sports and is also common in para athletes. However, there is a paucity of concussion research related to para sport, and prior International Concussion in Sport (CIS) consensus papers have not substantively addressed this population. To remedy this and to improve concussion care provided to para athletes, the concussion in para sport (CIPS) multidisciplinary expert group was created. This group analysed and discussed in-depth para athlete-specific issues within the established key clinical domains of the current (2017) consensus statement on CIS. Due to the onset of the COVID-19 pandemic, the group held all meetings by video conferencing. The existing Sport Concussion Assessment Tool 5 (SCAT5) for the immediate on-field and office-based off-field assessment of concussion was evaluated as part of this process, to identify any para athlete-specific concerns. Regular preparticipation and periodic health examinations are essential to determine a baseline reference point for concussion symptoms but pose additional challenges for the interpreting clinician. Further considerations for concussion management for the para athlete are required within the remove, rest, reconsider and refer consensus statement framework. Considering return to sport (RTS), the 2017 CIS consensus statement has limitations when considering the RTS of the para athlete. Case-by-case decision making related to RTS following concussion is imperative for para athletes. Additional challenges exist for the evaluation and management of concussion in para athletes. There is a need for greater understanding of existing knowledge gaps and attitudes towards concussion among athlete medical staff, coaches and para athletes. Future research should investigate the use and performance of common assessment tools in the para athlete population to better guide their clinical application and inform potential modifications. Concussion prevention strategies and sport-specific rule changes, such as in Para Alpine Skiing and Cerebral Palsy Football, also should be carefully considered to reduce the occurrence of concussion in para athletes.

scholarly journals A Review of SWAT Model Application in Africa

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1313
Author(s):  
George Akoko ◽  
Tu Hoang Le ◽  
Takashi Gomi ◽  
Tasuku Kato
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Swat Model ◽  
Data Availability ◽  
Mitigation Measures ◽  
Model Parameterization ◽  
Basin Scale

The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.

scholarly journals CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario

2021 ◽  
Vol 13 (7) ◽  
pp. 177
Author(s):  
Grazia Veronica Aiosa ◽  
Barbara Attanasio ◽  
Aurelio La Corte ◽  
Marialisa Scatá
Keyword(s):  
Communication Networks ◽  
Systems Approach ◽  
Evaluation Model ◽  
Service Evaluation ◽  
Important Change ◽  
Supplementary Information ◽  
Analytical Scheme ◽  
Evaluation Scheme ◽  
Reducing Costs ◽  
And Performance

The forthcoming 6G will attempt to rewrite the communication networks’ perspective focusing on a shift in paradigm in the way technologies and services are conceived, integrated and used. In this viewpoint, the Internet of Medical Things (IoMT) represents a merger of medical devices and health applications that are connected through networks, introducing an important change in managing the disease, treatments and diagnosis, reducing costs and faults. In 6G, the edge intelligence moves the innovative abilities from the central cloud to the edge and jointly with the complex systems approach will enable the development of a new category of lightweight applications as microservices. It requires edge intelligence also for the service evaluation in order to introduce the same degree of adaptability. We propose a new evaluation model, called CoKnowEMe (context knowledge evaluation model), by introducing an architectural and analytical scheme, modeled following a complex and dynamical approach, consisting of three inter-operable level and different networked attributes, to quantify the quality of IoMT microservices depending on a changeable context of use. We conduct simulations to display and quantify the structural complex properties and performance statistical estimators. We select and classify suitable attributes through a further detailed procedure in a supplementary information document.

scholarly journals Validity of an algorithm to identify cardiovascular deaths from administrative health records: a multi-database population-based cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lisa M. Lix ◽  
Shamsia Sobhan ◽  
Audray St-Jean ◽  
Jean-Marc Daigle ◽  
Anat Fisher ◽  
...  
Keyword(s):  
Cohort Study ◽  
Cardiovascular Mortality ◽  
Population Based ◽  
Vital Statistics ◽  
Practice Research ◽  
Clinical Practice Research Datalink ◽  
Health Records ◽  
Predictive Values ◽  
Site Specific ◽  
Hospital Deaths

Abstract Background Cardiovascular death is a common outcome in population-based studies about new healthcare interventions or treatments, such as new prescription medications. Vital statistics registration systems are often the preferred source of information about cause-specific mortality because they capture verified information about the deceased, but they may not always be accessible for linkage with other sources of population-based data. We assessed the validity of an algorithm applied to administrative health records for identifying cardiovascular deaths in population-based data. Methods Administrative health records were from an existing multi-database cohort study about sodium-glucose cotransporter-2 (SGLT2) inhibitors, a new class of antidiabetic medications. Data were from 2013 to 2018 for five Canadian provinces (Alberta, British Columbia, Manitoba, Ontario, Quebec) and the United Kingdom (UK) Clinical Practice Research Datalink (CPRD). The cardiovascular mortality algorithm was based on in-hospital cardiovascular deaths identified from diagnosis codes and select out-of-hospital deaths. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for the cardiovascular mortality algorithm using vital statistics registrations as the reference standard. Overall and stratified estimates and 95% confidence intervals (CIs) were computed; the latter were produced by site, location of death, sex, and age. Results The cohort included 20,607 individuals (58.3% male; 77.2% ≥70 years). When compared to vital statistics registrations, the cardiovascular mortality algorithm had overall sensitivity of 64.8% (95% CI 63.6, 66.0); site-specific estimates ranged from 54.8 to 87.3%. Overall specificity was 74.9% (95% CI 74.1, 75.6) and overall PPV was 54.5% (95% CI 53.7, 55.3), while site-specific PPV ranged from 33.9 to 72.8%. The cardiovascular mortality algorithm had sensitivity of 57.1% (95% CI 55.4, 58.8) for in-hospital deaths and 72.3% (95% CI 70.8, 73.9) for out-of-hospital deaths; specificity was 88.8% (95% CI 88.1, 89.5) for in-hospital deaths and 58.5% (95% CI 57.3, 59.7) for out-of-hospital deaths. Conclusions A cardiovascular mortality algorithm applied to administrative health records had moderate validity when compared to vital statistics data. Substantial variation existed across study sites representing different geographic locations and two healthcare systems. These variations may reflect different diagnostic coding practices and healthcare utilization patterns.

Legalization of Medical Cannabis and Site of Death: Evidence From National Vital Statistics Mortality Data

2021 ◽  
pp. 073346482110587
Author(s):  
Divya Bhagianadh ◽  
Kanika Arora
Keyword(s):  
State Level ◽  
Positive Association ◽  
Vital Statistics ◽  
Mortality Data ◽  
Medical Cannabis ◽  
Difference In Differences ◽  
Early Adopters ◽  
Level Data ◽  
Hospital Deaths ◽  
Poor Outcomes

We examined whether Medical Marijuana Legislation (MML) was associated with site of death. Using state-level data (1992–2018) from the National Vital Statistics System (NVSS), we employed difference-in-differences method to compare changes in death rate among older adults at four sites—nursing home (NH), hospital, home, hospice/other—over time in states with and without MML. Heterogeneity analyses were conducted by timing of MML adoption, and by decedent characteristics. Results show a negative association between MML implementation and NH deaths. Among early adopters (states with weakly regulated programs) and decedents with musculoskeletal disorders, there was a positive association between MML implementation and hospital deaths, whereas among late adopters (states with “medicalized” programs), there was a positive association between MML implementation and hospice deaths. Decline in NH deaths may reflect increased likelihood of transfers due to threat of Federal enforcement, penalties for poor outcomes, and liability concerns. Future studies should examine these associations further.

Culture in Family-Owned Enterprises: Recognizing and Leveraging Unique Strengths

2004 ◽  
Vol 17 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Daniel Denison ◽  
Colleen Lief ◽  
John L. Ward
Keyword(s):  
Organizational Behavior ◽  
Corporate Culture ◽  
Family Business ◽  
Family Firms ◽  
Assessment Tool ◽  
Small Sample ◽  
Business Culture ◽  
Bottom Line ◽  
Family Enterprises ◽  
And Performance

Through years of consulting experience and culture research, a fuller picture of family firms began to emerge. It became increasingly clear that family business sustainability and accomplishment were rooted in something deeper, something beyond superficial explanation. Belief in the innate value and uniqueness of family business culture drove collaboration on this project between the disciplines of family business and organizational behavior. The goal was to critically examine family business culture and performance relative to nonfamily firms. The Denison Organizational Culture Survey, a cultural assessment tool that has linked corporate culture to financial performance, was administered to a sample of 20 family businesses and 389 nonfamily businesses, allowing us to compare their cultures. The results showed that the corporate cultures of family enterprises were more positive than the culture of firms without a family affiliation. Family enterprises scored higher on all 12 dimensions of the assessment tool. Despite the small sample, several of these differences were statistically significant. This suggests that family firms perform better because of who they are. In addition, recent research that shows they also perform better because of what they do strategically. Their histories and shared identities provide a connectedness to time-tested core values and standards of behavior that lead to bottom-line success.

Integration of advances in sustainable technologies for the development of the Sustainable Building Assessment Tool

2020 ◽  
Vol 19 (3) ◽  
pp. 335-360
Author(s):  
Suchith Reddy Arukala ◽  
Rathish Kumar Pancharathi
Keyword(s):  
Building Materials ◽  
Assessment Tool ◽  
Sustainable Construction ◽  
Bottom Line ◽  
Sustainable Technologies ◽  
Discrete Reinforcement ◽  
Technological Advances ◽  
Building Assessment ◽  
And Performance ◽  
Social Environmental

The construction sector is a resource-driven and resource-dependent industry. A rising global interest to incorporate sustainability principles in the policy-making means a careful balancing of economic growth with sustainability. To achieve this end in the Indian building sector, a triple-bottom-line-based building assessment tool like GRIHA and IGBC was introduced for assessing building sustainability. However, to revitalize the ideas of Reduce, Replace, Reuse, Recycle and Renovate (the ‘5Rs’) into implementable solutions, the technological dimension is introduced to form a quadruple bottom line (QBL) approach, i.e., social, environmental, economic and technological (SEET), for achieving sustainable construction. This study aims to address the necessity to add a new dimension, viz. technological advances in the sustainability arena of the construction industry. The objective of the study is to include technological advances in building materials, construction processes and techniques and design philosophies in the developed SBAT framework. In this extended and upgraded SBAT 2.0, advances in sustainability (AS) criterion accounts for 11.5 per cent showing its significance in achieving building sustainability. The use of discrete reinforcement, additive manufacturing, 3D printing, design based on packing density and rheological properties of concrete, use of alkali-activated materials in the mix-design and performance-based design concepts that affect future sustainability are successfully brought into the fold of SBAT framework.

An Empirical Analysis of Employee Responses to Bonuses and Penalties

2020 ◽  
Vol 95 (6) ◽  
pp. 395-412 ◽  
Author(s):  
Wim A. Van der Stede ◽  
Anne Wu ◽  
Steve Yu-Ching Wu
Keyword(s):  
Employee Turnover ◽  
Selection Effect ◽  
Unintended Consequences ◽  
Data Availability ◽  
Marginal Effect ◽  
Confidentiality Agreement ◽  
And Performance ◽  
Bonuses And Penalties ◽  
Employee Responses ◽  
Chip Manufacturer

ABSTRACT We examine how employees respond to bonuses and penalties using a proprietary dataset from an electronic chip manufacturer in China. First, we examine the relative effects of bonuses and penalties and observe a stronger effect on subsequent effort and performance for penalties than for bonuses. Second, we find that the marginal sensitivity of penalties diminishes faster than that of bonuses, indicating that the marginal effect of a bonus may eventually exceed that of a penalty as their value increases. Third, we find an undesirable selection effect of penalties: penalties increase employee turnover, especially for skillful and high-quality workers. These results may help inform our understanding of the observed limited use of penalties in practice due to their bounded effectiveness and possible unintended consequences. Data Availability: The confidentiality agreement with the company that provided data for this study precludes the dissemination of detailed data without the company's consent.

Micro and Nanotechnology Maturity and Performance Assessment

2010 ◽  
pp. 174-192
Author(s):  
Nazrul Islam
Keyword(s):  
Assessment Tool ◽  
Study Approach ◽  
Specific Assessment ◽  
Key Issues ◽  
Assessment Matrix ◽  
Technology Managers ◽  
And Performance ◽  
Manufacturing Technologies ◽  
Manufacturing Readiness

This chapter aims to provide a new readiness matrix called ‘innovative manufacturing readiness levels (IMRLs)’ to evaluate and assess the areas of micro and nanotechnology maturity including their performance. The study employs a case study approach through which the practicability and applicability of the IMRLs conceptual matrix were verified and confirmed. A case study with laser-based manufacturing technologies explores the stages of micro and nano technologies (MNTs)’ maturity, including the key issues and performances that contributed to the development of a new assessment tool. Concerning intense global R&D competition in MNTs, this study exhibits a forward-looking approach in assessing MNTs maturity and performance. A generic conclusion is reached by which product designers and technology managers position themselves and take into account risk reduction exercises related to MNTs. The novelty of the research could be that organizations, which develop and use MNTs, have an opportunity in applying such a specific assessment matrix to quantify the technology readiness of unreleased MNTs.

scholarly journals Regional Parameter Estimation of the SWAT Model: Methodology and Application to River Basins in the Peruvian Pacific Drainage

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3198
Author(s):  
Flavio Alexander Asurza-Véliz ◽  
Waldo Sven Lavado-Casimiro
Keyword(s):  
Water Balance ◽  
Assessment Tool ◽  
Hydrological Cycle ◽  
Swat Model ◽  
Parameters Estimation ◽  
Data Availability ◽  
Model Parameters ◽  
Hydrological Data ◽  
The Pacific ◽  
Main Components

This study presents a methodology for the regional parameters estimation of the SWAT (Soil and Water Assessment Tool) model, with the objective of estimating daily flow series in the Pacific drainage under the context of limited hydrological data availability. This methodology has been designed to obtain the model parameters from a limited number of basins (14) to finally regionalize them to basins without hydrological data based on physical-climatic characteristics. In addition, the bootstrapping method was selected to estimate the uncertainty associated with the parameters set selection in the regionalization process. In general, the regionalized parameters reduce the initial underestimation which is reflected in a better quantification of daily flows, and improve the low flows performance. Furthermore, the results show that the SWAT model correctly represents the water balance and seasonality of the hydrological cycle main components. However, the model does not correctly quantify the high flows rates during wet periods. These findings provide supporting information for studies of water balance and water management on the Peruvian Pacific drainage. The approach and methods developed can be replicated in any other region of Peru.

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