Inconsistencies in Overdose Suicide Death Investigation Practice and Potential Remedies Using Technology: A Centers for Disease Control and Prevention Consultation Meeting Summary

2021 ◽  
pp. 192536212110224
Author(s):  
Melissa C. Mercado ◽  
Deborah M. Stone ◽  
Caroline W. Kokubun ◽  
Aimée-Rika T. Trudeau ◽  
Elizabeth Gaylor ◽  
...  
Keyword(s):  
System Integration ◽  
Data Privacy ◽  
Burden Of Proof ◽  
The United States ◽  
Privacy And Security ◽  
Death Scene ◽  
Undetermined Intent ◽  
Control And Prevention ◽  
Scene Description ◽  
Death Investigation

Introduction: It is widely accepted that suicides—which account for more than 47 500 deaths per year in the United States—are undercounted by 10% to 30%, partially due to incomplete death scene investigations (DSI) and varying burden-of-proof standards across jurisdictions. This may result in the misclassification of overdose-related suicides as accidents or undetermined intent. Methods: Virtual and in-person meetings were held with suicidologists and DSI experts from five states (Spring-Summer 2017) to explore how features of a hypothetical electronic DSI tool may help address these challenges. Results: Participants envisioned a mobile DSI application for cell phones, tablets, or laptop computers. Features for systematic information collection, scene description, and guiding key informant interviews were perceived as useful for less-experienced investigators. Discussion: Wide adoption may be challenging due to differences in DSI standards, practices, costs, data privacy and security, and system integration needs. However, technological tools that support consistent and complete DSIs could strengthen the information needed to accurately identify overdose suicides.

scholarly journals The Use of Electronic Health Record Systems During COVID-19 at a Local Community Hospital on the West Coast

2021 ◽  
pp. 53-58
Author(s):  
Malini Krishnamurthi, Ph.D.
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Patient Care ◽  
Data Privacy ◽  
Local Community ◽  
Quality Care ◽  
The United States ◽  
Health Record ◽  
Privacy And Security ◽  
Electronic Health

The United States Federal government looks toward information technology to curtail health care costs while increasing the quality of patient care through the adoption of electronic health record (EHR)systems. This paper examined the experience of a hospital with its EHR system in the context of the pandemic. Results showed that the hospital maintains a state-of-the-art health care system to provide quality care to its community and was responsive to the recent crisis. The results were consistent with other comparable hospitals examined in this study. The hospitals were successful in adopting EHR systems. They were able to identify gaps that could be filled with technology add-ons from different software vendors to improve their functionality and thereby provide better & timely patient care. Managing large volumes of data generated in the normal process of EHR operation and ensuring data privacy and security were the significant challenges faced and are likely to continue in the future.

scholarly journals Medicolegal Death Scene Investigations after Natural Disaster- and Weather-Related Events: A Review of the Literature

2017 ◽  
Vol 7 (2) ◽  
pp. 221-239 ◽  
Author(s):  
Luciana A. Rocha ◽  
Catharine Q. Fromknecht ◽  
Sarah Davis Redman ◽  
Joanne E. Brady ◽  
Sarah E. Hodge ◽  
...  
Keyword(s):  
Data Collection ◽  
Grey Literature ◽  
Vital Statistics ◽  
Red Cross ◽  
Medical Examiner ◽  
Death Scene ◽  
Reporting Practices ◽  
Control And Prevention ◽  
Death Investigation ◽  
Medical Examiners

Background The number of disaster-related deaths recorded by vital statistics departments often differs from that reported by other agencies, including the National Oceanic and Atmospheric Administration-National Weather Service storm database and the American Red Cross. The Centers for Disease Control and Prevention (CDC) has launched an effort to improve disaster-related death scene investigation reporting practices to make data more comparable across jurisdictions, improve accuracy of reporting disaster-related deaths, and enhance identification of risk and protective factors. We conducted a literature review to examine how death scene data are collected and how such data are used to determine disaster relatedness. Methods Two analysts conducted a parallel search using Google and Google Scholar. We reviewed published peer-reviewed articles and unpublished documents including relevant forms, protocols, and worksheets from coroners, medical examiners, and death scene investigators. Results We identified 177 documents: 32 published peer-reviewed articles and 145 other documents (grey literature). Published articles suggested no consistent approach for attributing deaths to a disaster. Researchers generally depended on death certificates to identify disaster-related deaths; several studies also drew on supplemental sources, including medical examiner, coroner, and active surveillance reports. Conclusions These results highlight the critical importance of consistent, accurate data collection during a death investigation. Review of the grey literature found variation in use of death scene data collection tools, indicating the potential for widespread inconsistency in data captured for routine reporting and public health surveillance. Findings from this review will be used to develop guidelines and tools for capturing disaster-related death investigation data.

scholarly journals Characteristics and Circumstances Associated with Work-Related Suicides from the National Violent Death Reporting System, 2013–2017

2021 ◽  
Vol 18 (18) ◽  
pp. 9538
Author(s):  
Corinne Peek-Asa ◽  
Ling Zhang ◽  
Cara Hamann ◽  
Jonathan Davis ◽  
Laura Schwab-Reese
Keyword(s):  
Suicide Prevention ◽  
Reporting System ◽  
College Education ◽  
The United States ◽  
Violent Death ◽  
Related Factors ◽  
Work Related ◽  
Workplace Wellness Programs ◽  
Control And Prevention ◽  
Death Investigation

Workplaces are critical in suicide prevention because work-related factors can be associated with suicide, and because workplaces can be effective suicide prevention sites. Understanding the circumstances associated with work-related suicides can advance worksite prevention efforts. Data from the United States Centers for Disease Control and Prevention, National Violent Death Reporting System from 2013 to 2017 were used to examine characteristics and circumstances associated with work compared with non-work suicides. Work-related suicides included those indicated as work-related on the death certificate or in which the death investigation mentioned a work problem or work crisis. Of the 84,389 suicides, 12.1% had some relation to the decedent’s work. Males, those aged 21–54, and with at least a college education, were most likely to have work-related suicides. The circumstances most strongly associated with work-related suicide were financial problems (Odds Ratio (OR) = 4.7; 95% Confidence Interval (CI) = 4.5–5.0), prior depressed mood (OR = 2.4; 95% CI = 2.3–2.5), and eviction/loss of home (OR = 1.6; 95% CI = 1.4–1.7). Suicides among healthcare practitioners and management occupations had the highest odds of being work-related. Workplace wellness programs can consider incorporating services, such as financial planning and mental health services, as potentially up-stream approaches to prevent work-related suicide.

Student Privacy and the Law in the Internet Age

2019 ◽  
Author(s):  
Leah Plunkett ◽  
Urs Gasser ◽  
Sandra Cortesi
Keyword(s):  
Learning Environments ◽  
School Environment ◽  
Privacy Protection ◽  
Data Privacy ◽  
Digital Technologies ◽  
The United States ◽  
Legal Framework ◽  
Privacy Law ◽  
Student Privacy ◽  
High Level

New types of digital technologies and new ways of using them are heavily impacting young people’s learning environments and creating intense pressure points on the “pre-digital” framework of student privacy. This chapter offers a high-level mapping of the federal legal landscape in the United States created by the “big three” federal privacy statutes—the Family Educational Rights and Privacy Act (FERPA), the Children’s Online Privacy Protection Act (COPPA), and the Protection of Pupil Rights Amendment (PPRA)—in the context of student privacy and the ongoing digital transformation of formal learning environments (“schools”). Fissures are emerging around key student privacy issues such as: what are the key data privacy risk factors as digital technologies are adopted in learning environments; which decision makers are best positioned to determine whether, when, why, and with whom students’ data should be shared outside the school environment; what types of data may be unregulated by privacy law and what additional safeguards might be required; and what role privacy law and ethics serve as we seek to bolster related values, such as equity, agency, and autonomy, to support youth and their pathways. These and similar intersections at which the current federal legal framework is ambiguous or inadequate pose challenges for key stakeholders. This chapter proposes that a “blended” governance approach, which draws from technology-based, market-based, and human-centered privacy protection and empowerment mechanisms and seeks to bolster legal safeguards that need to be strengthen in parallel, offers an essential toolkit to find creative, nimble, and effective multistakeholder solutions.

scholarly journals Users’ Beliefs Toward Physical Distancing in Facebook Pages of Public Health Authorities During COVID-19 Pandemic in Early 2020

2021 ◽  
pp. 109019812110144
Author(s):  
Soon Guan Tan ◽  
Aravind Sesagiri Raamkumar ◽  
Hwee Lin Wee
Keyword(s):  
Public Health ◽  
Health Belief Model ◽  
United States Public Health ◽  
Health Belief ◽  
The United States ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Control And Prevention ◽  
Belief Model ◽  
The Health Belief Model

This study aims to describe Facebook users’ beliefs toward physical distancing measures implemented during the Coronavirus disease (COVID-19) pandemic using the key constructs of the health belief model. A combination of rule-based filtering and manual classification methods was used to classify user comments on COVID-19 Facebook posts of three public health authorities: Centers for Disease Control and Prevention of the United States, Public Health England, and Ministry of Health, Singapore. A total of 104,304 comments were analyzed for posts published between 1 January, 2020, and 31 March, 2020, along with COVID-19 cases and deaths count data from the three countries. Findings indicate that the perceived benefits of physical distancing measures ( n = 3,463; 3.3%) was three times higher than perceived barriers ( n = 1,062; 1.0%). Perceived susceptibility to COVID-19 ( n = 2,934; 2.8%) was higher compared with perceived severity ( n = 2,081; 2.0%). Although susceptibility aspects of physical distancing were discussed more often at the start of the year, mentions on the benefits of intervention emerged stronger toward the end of the analysis period, highlighting the shift in beliefs. The health belief model is useful for understanding Facebook users’ beliefs at a basic level, and it provides a scope for further improvement.

Data-driven sector coupling in 5G-based smart networks

2021 ◽  
Vol 22 (1) ◽  
pp. 53-68
Author(s):  
Guenter Knieps
Keyword(s):  
Data Privacy ◽  
Service Providers ◽  
Policy Implications ◽  
Network Industries ◽  
5G Networks ◽  
Privacy And Security ◽  
Open Set ◽  
Application Service ◽  
Downstream Application

5G attains the role of a GPT for an open set of downstream IoT applications in various network industries and within the app economy more generally. Traditionally, sector coupling has been a rather narrow concept focusing on the horizontal synergies of urban system integration in terms of transport, energy, and waste systems, or else the creation of new intermodal markets. The transition toward 5G has fundamentally changed the framing of sector coupling in network industries by underscoring the relevance of differentiating between horizontal and vertical sector coupling. Due to the fixed mobile convergence and the large open set of complementary use cases, 5G has taken on the characteristics of a generalized purpose technology (GPT) in its role as the enabler of a large variety of smart network applications. Due to this vertical relationship, characterized by pervasiveness and innovational complementarities between upstream 5G networks and downstream application sectors, vertical sector coupling between the provider of an upstream GPT and different downstream application industries has acquired particular relevance. In contrast to horizontal sector coupling among different application sectors, the driver of vertical sector coupling is that each of the heterogeneous application sectors requires a critical input from the upstream 5G network provider and combines this with its own downstream technology. Of particular relevance for vertical sector coupling are the innovational complementarities between upstream GPT and downstream application sectors. The focus on vertical sector coupling also has important policy implications. Although the evolution of 5G networks strongly depends on the entrepreneurial, market-driven activities of broadband network operators and application service providers, the future of 5G as a GPT is heavily contingent on the role of frequency management authorities and European regulatory policy with regard to data privacy and security regulations.

scholarly journals Survey of Saliva Components and Virus Sensors for Prevention of COVID-19 and Infectious Diseases

Biosensors ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 14
Author(s):  
Priya Dave ◽  
Roberto Rojas-Cessa ◽  
Ziqian Dong ◽  
Vatcharapan Umpaichitra
Keyword(s):  
Infectious Diseases ◽  
Dental Health ◽  
The United States ◽  
Human Saliva ◽  
Field Application ◽  
Future Research ◽  
Prevention Measures ◽  
Control And Prevention ◽  
Close Distance

The United States Centers for Disease Control and Prevention considers saliva contact the lead transmission mean of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19). Saliva droplets or aerosols expelled by sneezing, coughing, breathing, and talking may carry this virus. People in close distance may be exposed directly to these droplets or indirectly when touching the droplets that fall on surrounding surfaces and ending up contracting COVID-19 after touching the mucosa tissue of their faces. It is of great interest to quickly and effectively detect the presence of SARS-CoV-2 in an environment, but the existing methods only work in laboratory settings, to the best of our knowledge. However, it may be possible to detect the presence of saliva in the environment and proceed with prevention measures. However, detecting saliva itself has not been documented in the literature. On the other hand, many sensors that detect different organic components in saliva to monitor a person’s health and diagnose different diseases, ranging from diabetes to dental health, have been proposed and they may be used to detect the presence of saliva. This paper surveys sensors that detect organic and inorganic components of human saliva. Humidity sensors are also considered in the detection of saliva because a large portion of saliva is water. Moreover, sensors that detect infectious viruses are also included as they may also be embedded into saliva sensors for a confirmation of the presence of the virus. A classification of sensors by their working principles and the substances they detect is presented, including the sensors’ specifications, sample size, and sensitivity. Indications of which sensors are portable and suitable for field application are presented. This paper also discusses future research and challenges that must be resolved to realize practical saliva sensors. Such sensors may help minimize the spread of not only COVID-19 but also other infectious diseases.

scholarly journals Towards Better Performance for Protected Iris Biometric System with Confidence Matrix

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 910
Author(s):  
Tong-Yuen Chai ◽  
Bok-Min Goi ◽  
Wun-She Yap
Keyword(s):  
Data Privacy ◽  
Recognition Performance ◽  
Generalized Solution ◽  
Performance Degradation ◽  
Public Confidence ◽  
Data Types ◽  
Privacy And Security ◽  
Biometric Data ◽  
Biometric Template ◽  
Template Protection

Biometric template protection (BTP) schemes are implemented to increase public confidence in biometric systems regarding data privacy and security in recent years. The introduction of BTP has naturally incurred loss of information for security, which leads to performance degradation at the matching stage. Although efforts are shown in the extended work of some iris BTP schemes to improve their recognition performance, there is still a lack of a generalized solution for this problem. In this paper, a trainable approach that requires no further modification on the protected iris biometric templates has been proposed. This approach consists of two strategies to generate a confidence matrix to reduce the performance degradation of iris BTP schemes. The proposed binary confidence matrix showed better performance in noisy iris data, whereas the probability confidence matrix showed better performance in iris databases with better image quality. In addition, our proposed scheme has also taken into consideration the potential effects in recognition performance, which are caused by the database-associated noise masks and the variation in biometric data types produced by different iris BTP schemes. The proposed scheme has reported remarkable improvement in our experiments with various publicly available iris research databases being tested.

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