scholarly journals Anxiety-Driven Cardiopulmonary Complaints during COVID-19 Pandemic Outbreak

Author(s):  
Ofir Koren ◽  
Saleem Rajab ◽  
Mohammad Barbour ◽  
Moriah Shachar ◽  
Amit Shahar ◽  
...  

Background We intend to examine whether the COVID-19 outbreak influences medical decision-making (MDM) among Non-COVID patients. Method We recruit 287 patients who admit to ER department due to cardiovascular complaints. Anxiety level was measured using three questionnaires (GAD-7, Beck Inventory, and the cardiac anxiety questionnaire). A fourth survey was designed to assess MDM considerations. Results 64% of patients were male (median age 54). Almost half of the patients were found to have moderate to severe levels of anxiety.79.3% of patients reported that the outbreak influenced their MDM. 44.5% of patients sought medical care 2-3 from the onset of symptoms. Coronary artery disease was found in only 26 patients (9.1%). Almost half of the patients stated that they would have gone earlier if not for the current pandemic. Conclusion Non-COVID patients seeking medical care had a high anxiety level that directly affected decision-making and put them at unnecessary risk.

2018 ◽  
Author(s):  
Yen-Yuan Chen ◽  
Yu-Fang Cheng ◽  
Chau-Chung Wu ◽  
Tzong-Shinn Chu

BACKGROUND The rapid advance of information technology since the end of twentieth century has deeply influenced the ways people gather health information to use as references for medical decision-making. Studies have overwhelmingly been focused on the association between health information in the media and the usage of medical care, nevertheless, none of them have examined the association between the usage of social media for gathering health information and patients’ active participation in medical decision-making. OBJECTIVE The objective of this study was to examine the influence of the health information obtained from social media has on patients’ preference to actively participate in medical decision-making. METHODS The participants in this study were openly recruited from the patients who were admitted to the cardiology inpatient unit in the Department of Internal Medicine with an admission diagnosis of coronary artery disease. We used Control Preference Scale to estimate each patient’s preference to play an active role, a collaborative role, or a passive role in medical decision-making. We conducted multivariate logistic regression for examining the association between “gathering health information from social media” and “playing an active role in medical decision-making”, by including the confounding variables which have an association with the outcome variable with a p value of less than .30. RESULTS A total of 156 patients participated in this study. After adjusting for the confounding variables, patients who gathered health information related to coronary artery disease from social media were more likely to play an active role in medical decision-making (odds ratio = 2.85, p = 0.04). Furthermore, the odds of patients with one-year increment of their age for playing an active role in medical decision-making was decreased approximately by 6.20% (odds ratio = 0.94, p = 0.01), and patients cared for by Physician C preferred to play an active role as compared to other physicians (odds ratio = 5.37, p = 0.04). CONCLUSIONS Although health information gathered from social media may have been discussed and validated by one’s companions on social media, there is no guarantee that the health information is correct. If the health information gathered from social media is correct, patients’ active participation in medical decision-making is helpful in facilitating physician-patient communication towards that aim. Future studies may be focused on how information seekers use modern information technology to gather correct health information. CLINICALTRIAL N/A


Author(s):  
Stephane Timothee ◽  
Marc L Resnick

When providing medical care, doctors are constantly required to make complex decisions based on a wide variety of information sources. As the US health care system becomes more complex with managed care, new regulations for prescription drugs, and other factors, it will become easier for bias to be introduced into the decision making process. This study investigates medical treatment decisions and seeks to identify paths through which bias can be introduced. Patient penal status was used as a proxy for patient variables that in theory should not affect care decisions but in practice often do. The results of the study show that penal patients are less likely to receive required and recommended treatments and that these differences are not due to differences in race, age, or gender of the prisoner population. Additional research is needed to identify the organizational or contextual factors that lead to differences in the provision of medical care.


2004 ◽  
Vol 41 (5) ◽  
pp. 528-533 ◽  
Author(s):  
Hiroaki Miyata ◽  
Hiromi Shiraishi ◽  
Ichiro Kai ◽  
Yoshito Igarashi ◽  
Masaaki Matsushita

1992 ◽  
Vol 1 (4) ◽  
pp. 377-387 ◽  
Author(s):  
Suzanne B. Yellen ◽  
Laurel A. Burton ◽  
Ellen Elpern

Historically, patients have deferred to physicians′ judgments about appropriate medical care, thereby limiting patient participation in treatment decisions. In this model of medical decision making, physicians typically decided upon the treatment plan. Communication with patients focused on securing their cooperation in accepting a treatment decision that essentially had already been made.


2021 ◽  
Vol 244 ◽  
pp. 11015
Author(s):  
Ekaterina Stodelova ◽  
Galina Korableva

The publication discusses the issues and results of designing an automated system for supporting medical decision-making on issues of antirabic prevention and aid to the population. The need to provide medical care in the framework of preventing deaths from rabies infection and carrying out preventive measures to prevent such infections is relevant not only in the Russian Federation, but also in many countries of the world. Algorithms for providing medical care and carrying out rabies vaccination are complex, requiring certain professional skills from medical professionals, as well as care and accuracy from patients. Therefore, in manual mode, they are time-consuming both in terms of registering information about the treatment performed, and in terms of the speed of forming medical decisions when providing medical care or when correcting violations of previously defined algorithms. For computer support of these processes, an automated system for supporting medical decision-making has been developed using the tools of the Clarion 10 relational database management system. For various categories of patients and citizens undergoing rabies prevention, experts have developed and entered into the database templates of treatment courses, which are assigned by the system after analyzing the clinical data of patients and the initial or repeated fact of their request for help. These templates and algorithms for analyzing the possibilities of their application are similar to products that allow you to link assumptions and conclusions when making decisions. The automated medical decision support system allows you to register patients and persons undergoing rabies prevention, assign them treatment courses and vaccination schemes, adjust treatment and prevention methods in case of violations of previously prescribed ones, and generate statistical reports. The developed software product received the author’s certificate no. 2018663452 dated 26.10.2018 from the Federal service for intellectual property (Rospatent). The software product has been tested in first aid rooms in Moscow, in the practice of the polyclinic department of the First City hospital named after N. I. Pirogov.


Sign in / Sign up

Export Citation Format

Share Document