scholarly journals Using Data Analytics to Predict Hospital Mortality in Sepsis Patients

2019 ◽  
Vol 14 (3) ◽  
pp. 1-18
Author(s):  
Yazan Alnsour ◽  
Rassule Hadidi ◽  
Neetu Singh
Keyword(s):  
Hospital Mortality ◽  
Predictive Model ◽  
Health Care Providers ◽  
Prediction Models ◽  
Predictive Analytics ◽  
Area Under The Curve ◽  
The United States ◽  
Hospital Death ◽  
Care Providers ◽  
Chi Square

Predictive analytics can be used to anticipate the risks associated with some patients, and prediction models can be employed to alert physicians and allow timely proactive interventions. Recently, health care providers have been using different types of tools with prediction capabilities. Sepsis is one of the leading causes of in-hospital death in the United States and worldwide. In this study, the authors used a large medical dataset to develop and present a model that predicts in-hospital mortality among Sepsis patients. The predictive model was developed using a dataset of more than one million records of hospitalized patients. The independent predictors of in-hospital mortality were identified using the chi-square automatic interaction detector. The authors found that adding hospital attributes to the predictive model increased the accuracy from 82.08% to 85.3% and the area under the curve from 0.69 to 0.84, which is favorable compared to using only patients' attributes. The authors discuss the practical and research contributions of using a predictive model that incorporates both patient and hospital attributes in identifying high-risk patients.

scholarly journals Using Data Analytics to Predict Hospital Mortality in Sepsis Patients

2019 ◽  
Vol 14 (3) ◽  
pp. 40-57
Author(s):  
Yazan Alnsour ◽  
Rassule Hadidi ◽  
Neetu Singh
Keyword(s):  
Hospital Mortality ◽  
Predictive Model ◽  
Health Care Providers ◽  
Prediction Models ◽  
Predictive Analytics ◽  
Area Under The Curve ◽  
The United States ◽  
Hospital Death ◽  
Care Providers ◽  
Chi Square

Predictive analytics can be used to anticipate the risks associated with some patients, and prediction models can be employed to alert physicians and allow timely proactive interventions. Recently, health care providers have been using different types of tools with prediction capabilities. Sepsis is one of the leading causes of in-hospital death in the United States and worldwide. In this study, the authors used a large medical dataset to develop and present a model that predicts in-hospital mortality among Sepsis patients. The predictive model was developed using a dataset of more than one million records of hospitalized patients. The independent predictors of in-hospital mortality were identified using the chi-square automatic interaction detector. The authors found that adding hospital attributes to the predictive model increased the accuracy from 82.08% to 85.3% and the area under the curve from 0.69 to 0.84, which is favorable compared to using only patients' attributes. The authors discuss the practical and research contributions of using a predictive model that incorporates both patient and hospital attributes in identifying high-risk patients.

scholarly journals Comparing of Data Mining Techniques for Predicting In-Hospital Mortality Among Patients with COVID-19

2021 ◽  
Author(s):  
Mostafa Shanbehzadeh ◽  
Azam Orooji ◽  
Hadi Kazemi-Arpanahi
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Hospital Mortality ◽  
Health Care Providers ◽  
Prediction Models ◽  
Confusion Matrix ◽  
World Health ◽  
Medical Decision ◽  
Support Vector ◽  
Care Providers

Introduction: The COVID-19 epidemic is currently fronting the worldwide health care systems with many qualms and unexpected challenges in medical decision-making and the effective sharing of medical resources. Machine Learning (ML)-based prediction models can be potentially advantageous to overcome these uncertainties. Objective: This study aims to train several ML algorithms to predict the COVID-19 in-hospital mortality and compare their performance to choose the best performing algorithm. Finally, the contributing factors scored using some feature selection methods. Material and Methods: Using a single-center registry, we studied the records of 1353 confirmed COVID-19 hospitalized patients from Ayatollah Taleghani hospital, Abadan city, Iran. We applied six feature scoring techniques and nine well-known ML algorithms. To evaluate the models’ performances, the metrics derived from the confusion matrix calculated. Results: The study participants were 1353 patients, the male sex found to be higher than the women (742 vs. 611), and the median age was 57.25 (interquartile 18-100). After feature scoring, out of 54 variables, absolute neutrophil/lymphocyte count and loss of taste and smell were found the top three predictors. On the other hand, platelet count, magnesium, and headache gained the lowest importance for predicting the COVID-19 mortality. Experimental results indicated that the Bayesian network algorithm with an accuracy of 89.31% and a sensitivity of 64.2 % has been more successful in predicting mortality. Conclusion: ML provides a reasonable level of accuracy in predicting. So, using the ML-based prediction models facilitate more responsive health systems and would be beneficial for timely identification of vulnerable patients to inform appropriate judgment by the health care providers. Abbreviation: Coronavirus Disease 2019 (COVID‐19), World Health Organization (WHO), Machine Learning (ML), Artificial Intelligence (AI), Multilayer Perceptron (MLP), Support Vector Machine (SVM), Locally Weighted Learning (LWL), Clinical Decision Support System (CDSS)

scholarly journals Decline in the Use of Medicalized Yoga Between 2002 and 2012 While the Overall Yoga Use Increased in the United States: A Conundrum

2017 ◽  
Vol 22 (4) ◽  
pp. 567-572 ◽  
Author(s):  
Avinash R. Patwardhan ◽  
Lynne (Way) Lloyd
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
The United States ◽  
Health Problems ◽  
Prescribing Patterns ◽  
Care Providers ◽  
Chi Square ◽  
Chi Square Test ◽  
Use Of Health Care ◽  
Specific Health

We analyzed the National Health Institute Survey Alternative Medicine supplement yoga data for 2002, 2007, and 2012 to answer the following questions: (1) Do the claims about increase in the use of yoga hold true at the level of specific health problems? (2) Do trends support a proposition that yoga is believed to be helpful in amelioration of disease conditions? (3) Do the prescribing patterns of health care providers correspond with the increasing popularity of yoga? Data were analyzed using SAS software, version 9.4. Response percentages were compared using chi-square test after adjusting for age. Between 2002 and 2012, use of yoga increased but adherence failed to increase, and use for specific health problems and for back pain declined; use of health care providers’ referral–driven yoga declined between 2007 and 2012. All results were statistically significant. Our results suggest that the use of medicalized yoga declined between 2002 and 2012.

The Special Perils of Being Old and Sick in Prison

2020 ◽  
Vol 32 (5) ◽  
pp. 276-284
Author(s):  
William J. Jefferson
Keyword(s):  
United States ◽  
Health Care ◽  
Medical Care ◽  
Health Care Providers ◽  
The United States ◽  
United States Constitution ◽  
Care Providers ◽  
Medical Practitioners ◽  
Medical Needs ◽  
Access To Medical Care

The United States Supreme Court declared in 1976 that deliberate indifference to the serious medical needs of prisoners constitutes the unnecessary and wanton infliction of pain…proscribed by the Eighth Amendment. It matters not whether the indifference is manifested by prison doctors in their response to the prisoner’s needs or by prison guards intentionally denying or delaying access to medical care or intentionally interfering with treatment once prescribed—adequate prisoner medical care is required by the United States Constitution. My incarceration for four years at the Oakdale Satellite Prison Camp, a chronic health care level camp, gives me the perspective to challenge the generally promoted claim of the Bureau of Federal Prisons that it provides decent medical care by competent and caring medical practitioners to chronically unhealthy elderly prisoners. The same observation, to a slightly lesser extent, could be made with respect to deficiencies in the delivery of health care to prisoners of all ages, as it is all significantly deficient in access, competencies, courtesies and treatments extended by prison health care providers at every level of care, without regard to age. However, the frailer the prisoner, the more dangerous these health care deficiencies are to his health and, therefore, I believe, warrant separate attention. This paper uses first-hand experiences of elderly prisoners to dismantle the tale that prisoner healthcare meets constitutional standards.

A survey of Instagram users with asthma to evaluate the acceptability of a planned clinical trial intervention (Preprint)

2020 ◽  
Author(s):  
Kerry Spitzer ◽  
Brent Heineman ◽  
Marcella Jewell ◽  
Michael Moran ◽  
Peter Lindenauer
Keyword(s):  
United States ◽  
Social Media ◽  
Health Care Providers ◽  
College Education ◽  
The United States ◽  
Survey Study ◽  
Care Providers ◽  
Healthy Behaviors ◽  
Social Media Platforms ◽  
Hispanic White

BACKGROUND Asthma is a chronic lung disease that affects nearly 25 million individuals in the United States. There is a need for more research into the potential for health care providers to leverage existing social media platforms to improve healthy behaviors and support individuals living with chronic health conditions. OBJECTIVE In this study, we assess the willingness of Instagram users with poorly controlled asthma to participate in a pilot study that uses Instagram as a means of providing social and informational support. In addition, we explore the potential for adapting photovoice and digital storytelling to social media. METHODS A survey study of Instagram users living with asthma in the United States, between the ages of 18 to 40. RESULTS Over 3 weeks of recruitment, 457 individuals completed the pre-survey screener; 347 were excluded. Of the 110 people who were eligible and agreed to participate in the study, 82 completed the study survey. Respondents mean age was 21(SD = 5.3). Respondents were 56% female (n=46), 65% (n=53) non-Hispanic white, and 72% (n=59) had at least some college education. The majority of respondents (n = 66, 81%) indicated that they would be willing to participate in the study. CONCLUSIONS Among young-adult Instagram users with asthma there is substantial interest in participating in a study that uses Instagram to connect participants with peers and a health coach in order to share information about self-management of asthma and build social connection.

Effects of Cardiovascular Disease and Related Risk Factors on Neurocognition

2019 ◽  
pp. 83-116
Author(s):  
Spencer W. Liebel ◽  
Lawrence H. Sweet
Keyword(s):  
Cardiovascular Disease ◽  
Older Adults ◽  
Cognitive Processing ◽  
Health Care Providers ◽  
The United States ◽  
Research Literature ◽  
Neurocognitive Functioning ◽  
Care Providers ◽  
Cardiac Events ◽  
Related Risk

Cardiovascular disease (CVD) affects approximately 44 million American adults older than age 60 years and remains the leading cause of death in the United States, with approximately 610,000 each year. With improved survival from acute cardiac events, older adults are often faced with the prospect of living with CVD, which causes significant psychological, social, and economic hardship. The various disease processes that constitute CVD also exert a deleterious effect on neurocognitive functioning. Although existing knowledge of neurocognitive functioning in CVD and its subtypes is substantial, a review of these findings by CVD type and neurocognitive domain does not exist, despite the potential impact of this information for patients, health care providers, and clinical researchers. This chapter provides a resource for clinicians and researchers on the epidemiology, mechanisms, and neurocognitive effects of CVDs. This chapter includes a discussion of neurocognitive consequences of CVD subtypes by neuropsychological domain and recommendations for assessment. Overall, the CVD subtypes that have the most findings available on specific neurocognitive domains are heart failure, hypertension, and atrial fibrillation. Despite a large discrepancy between the number of available studies across CVD subtypes, existing literature on neurocognitive effects by domain is consistent with the literature on the neurocognitive sequelae of unspecified CVD. Specifically, the research literature suggests that cognitive processing speed, attention, executive functioning, and memory are the domains most frequently affected. Given the prevalence of CVDs, neuropsychological assessment of older adults should include instruments that allow consideration of these potential neurocognitive consequences of CVD.

Nurse Practitioner Challenges to the Orthodox Structure of Health Care Delivery: Regulation and Restraints on Trade

1985 ◽  
Vol 11 (2) ◽  
pp. 195-225
Author(s):  
Karla Kelly
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Health Care Delivery ◽  
Nurse Practitioners ◽  
Nurse Practitioner ◽  
Allied Health ◽  
Care Delivery ◽  
The United States ◽  
Care Providers ◽  
Allied Health Care

AbstractUntil recently, physicians have been the primary health care providers in the United States. In response to the rising health care costs and public demand of the past decade, allied health care providers have challenged this orthodox structure of health care delivery. Among these allied health care providers are nurse practitioners, who have attempted to expand traditional roles of the registered nurse.This article focuses on the legal issues raised by several major obstacles to the expansion of nurse practitioner services: licensing restrictions, third party reimbursement policies, and denial of access to medical facilities and physician back-up services. The successful judicial challenges to discriminatory practices against other allied health care providers will be explored as a solution to the nurse practitioners’ dilemma.

Patients' Perceptions of Different Information Exchange Mechanisms: An Exploratory Study in the United States

2020 ◽  
Vol 59 (04/05) ◽  
pp. 162-178
Author(s):  
Pouyan Esmaeilzadeh
Keyword(s):  
United States ◽  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Information Exchange ◽  
The United States ◽  
Exchange Mechanism ◽  
Care Providers ◽  
Security Risks ◽  
Direct Exchange

Abstract Background Patients may seek health care services from various providers during treatment. These providers could serve in a network (affiliated) or practice separately (unaffiliated). Thus, using secure and reliable health information exchange (HIE) mechanisms would be critical to transfer sensitive personal health information (PHI) across distances. Studying patients' perceptions and opinions about exchange mechanisms could help health care providers build more complete HIEs' databases and develop robust privacy policies, consent processes, and patient education programs. Objectives Due to the exploratory nature of this study, we aim to shed more light on public perspectives (benefits, concerns, and risks) associated with the four data exchange practices in the health care sector. Methods In this study, we compared public perceptions and expectations regarding four common types of exchange mechanisms used in the United States (i.e., traditional, direct, query-based, patient-mediated exchange mechanisms). Traditional is an exchange through fax, paper mailing, or phone calls, direct is a provider-to-provider exchange, query-based is sharing patient data with a central repository, and patient-mediated is an exchange mechanism in which patients can access data and monitor sharing. Data were collected from 1,624 subjects using an online survey to examine the benefits, risks, and concerns associated with the four exchange mechanisms from patients' perspectives. Results Findings indicate that several concerns and risks such as privacy concerns, security risks, trust issues, and psychological risks are raised. Besides, multiple benefits such as access to complete information, communication improvement, timely and convenient information sharing, cost-saving, and medical error reduction are highlighted by respondents. Through consideration of all risks and benefits associated with the four exchange mechanisms, the direct HIE mechanism was selected by respondents as the most preferred mechanism of information exchange among providers. More than half of the respondents (56.18%) stated that overall they favored direct exchange over the other mechanisms. 42.70% of respondents expected to be more likely to share their PHI with health care providers who implemented and utilized a direct exchange mechanism. 43.26% of respondents believed that they would support health care providers to leverage a direct HIE mechanism for sharing their PHI with other providers. The results exhibit that individuals expect greater benefits and fewer adverse effects from direct HIE among health care providers. Overall, the general public sentiment is more in favor of direct data transfer. Our results highlight that greater public trust in exchange mechanisms is required, and information privacy and security risks must be addressed before the widespread implementation of such mechanisms. Conclusion This exploratory study's findings could be interesting for health care providers and HIE policymakers to analyze how consumers perceive the current exchange mechanisms, what concerns should be addressed, and how the exchange mechanisms could be modified to meet consumers' needs.

scholarly journals Patient Suffering in Chronic Digestive Diseases: Will Primary Care-Specialist Collaboration With Effective Interactive Communication and Integrative Medicine in the Plan of Care Improve Quality of Life?

2020 ◽  
Vol 7 (6) ◽  
pp. 989-993
Author(s):  
Andrew Thomas ◽  
Annie Thomas
Keyword(s):  
Quality Of Life ◽  
Primary Care ◽  
Health Care ◽  
Health Care Providers ◽  
The United States ◽  
Care Providers ◽  
Physician Visits ◽  
Digestive Diseases ◽  
Care Specialist

Acute and chronic digestive diseases are causing increased burden to patients and are increasing the United States health care spending. The purpose of this case report was to present how nonconfirmatory and conflicting diagnoses led to increased burden and suffering for a patient thus affecting quality of life. There were many physician visits and multiple tests performed on the patient. However, the primary care physician and specialists could not reach a confirmatory diagnosis. The treatment plans did not offer relief of symptoms, and the patient continues to experience digestive symptoms, enduring this burden for over 2 years. The central theme of this paper is to inform health care providers the importance of utilizing evidence-based primary care specialist collaboration models for better digestive disease outcomes. Consistent with patient’s experience, the authors propose to pilot/adopt the integrative health care approaches that are proven effective for treating digestive diseases.

Perceptions of Contexts of Intimate Partner Violence Among Young, Partnered Gay, Bisexual and Other Men Who Have Sex With Men in the United States

2021 ◽  
pp. 088626052110014
Author(s):  
Rob Stephenson ◽  
Lynae A. Darbes ◽  
Matthew T Rosso ◽  
Catherine Washington ◽  
Lisa Hightow-Weidman ◽  
...  
Keyword(s):  
Intimate Partner Violence ◽  
Health Care Providers ◽  
Partner Violence ◽  
The United States ◽  
Intimate Partner ◽  
Care Providers ◽  
Male Couples ◽  
Younger Men ◽  
Sex With Men ◽  
Controlling Behaviors

There has been a growth in research illustrating that gay, bisexual, and other men who have sex with men (GBMSM) experience intimate partner violence (IPV) at rates that are comparable to those among heterosexual women. However, the majority of research on IPV among same-sex male couples has focused on adults, and research on the experience of IPV among younger men (those aged under 18), remains at a nascent stage, despite knowledge that IPV is often common among younger men. This article adds to the growing body of literature on IPV among young GBMSM (YGBMSM) through of an analysis of qualitative data from in-depth interviews (IDI) with GBMSM aged 15–19 ( n = 30) in romantic relationships partnerships. The study sought to explore issues of relationship development, relationship contexts, and understandings of IPV. More than one-half of the sample reported experiencing some form of IPV in their current or past relationships. Participants described a range of experiences of IPV, including physical IPV, emotional IPV, sexual IPV, and controlling behaviors. Emotional IPV in the form of negative comments and controlling behaviors such as jealousy were the most commonly reported forms of violence behaviors. Although few participants reported experiencing physical or sexual IPV, several discussed concerns about giving, and partners’ acknowledging, sexual consent. Antecedents to IPV included wanting or feeling pressured to participate in normative development milestones, short-lived relationships, and societal stigma. Interventions that develop content on IPV and that reflect the lived realities of YGBMSM who are experiencing their first relationships are urgently needed. Study findings also support the need for training teachers, health care providers, and parents to identify signs of IPV and provide them with the knowledge and skills to talk to YGBMSM about relationships and violence to reduce IPV.

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