Pub Date : 2023-04-10DOI: 10.1007/s41649-023-00250-9
S T Padmapriya, Sudhaman Parthasarathy
Due to advancements in technology such as data science and artificial intelligence, healthcare research has gained momentum and is generating new findings and predictions on abnormalities leading to the diagnosis of diseases or disorders in human beings. On one hand, the extensive application of data science to healthcare research is progressing faster, while on the other hand, the ethical concerns and adjoining risks and legal hurdles those data scientists may face in the future slow down the progression of healthcare research. Simply put, the application of data science to ethically guided healthcare research appears to be a dream come true. Hence, in this paper, we discuss the current practices, challenges, and limitations of the data collection process during medical image analysis (MIA) conducted as part of healthcare research and propose an ethical data collection framework to guide data scientists to address the possible ethical concerns before commencing data analytics over a medical dataset.
{"title":"Ethical Data Collection for Medical Image Analysis: a Structured Approach.","authors":"S T Padmapriya, Sudhaman Parthasarathy","doi":"10.1007/s41649-023-00250-9","DOIUrl":"10.1007/s41649-023-00250-9","url":null,"abstract":"<p><p>Due to advancements in technology such as data science and artificial intelligence, healthcare research has gained momentum and is generating new findings and predictions on abnormalities leading to the diagnosis of diseases or disorders in human beings. On one hand, the extensive application of data science to healthcare research is progressing faster, while on the other hand, the ethical concerns and adjoining risks and legal hurdles those data scientists may face in the future slow down the progression of healthcare research. Simply put, the application of data science to ethically guided healthcare research appears to be a dream come true. Hence, in this paper, we discuss the current practices, challenges, and limitations of the data collection process during medical image analysis (MIA) conducted as part of healthcare research and propose an ethical data collection framework to guide data scientists to address the possible ethical concerns before commencing data analytics over a medical dataset.</p>","PeriodicalId":44520,"journal":{"name":"Asian Bioethics Review","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088772/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9715953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 pandemic, which spread around the world in 2020, changed the lives of millions of people and affected the life and functioning of all countries and people without exception. With the emergence of the opportunity to be vaccinated against COVID-19, the problem of making a decision about vaccination also appeared. But it has become increasingly clear that the coronavirus is moving into the group of annual viral epidemic diseases that occur every year in different countries during the seasonal wave of acute respiratory viral infections. The ongoing COVID-19 pandemic against the background of the adoption of serious quarantine measures indicates the need for large-scale vaccination of the population as the most effective way to protect against COVID-19. In this article, we pay special attention to vaccination, as the main factor in ensuring health, reducing the morbidity and severity of the course of the COVID-19 disease, and an important task of the state and modern public administration.
{"title":"COVID-19 Vaccination under Conditions of War in Ukraine","authors":"Olena Korolchuk, Nataliia Vasiuk, Iryna Klymkova, Dmytro Shvets, Oleksii Piddubnyi","doi":"10.1007/s41649-023-00248-3","DOIUrl":"10.1007/s41649-023-00248-3","url":null,"abstract":"<div><p>The COVID-19 pandemic, which spread around the world in 2020, changed the lives of millions of people and affected the life and functioning of all countries and people without exception. With the emergence of the opportunity to be vaccinated against COVID-19, the problem of making a decision about vaccination also appeared. But it has become increasingly clear that the coronavirus is moving into the group of annual viral epidemic diseases that occur every year in different countries during the seasonal wave of acute respiratory viral infections. The ongoing COVID-19 pandemic against the background of the adoption of serious quarantine measures indicates the need for large-scale vaccination of the population as the most effective way to protect against COVID-19. In this article, we pay special attention to vaccination, as the main factor in ensuring health, reducing the morbidity and severity of the course of the COVID-19 disease, and an important task of the state and modern public administration.</p></div>","PeriodicalId":44520,"journal":{"name":"Asian Bioethics Review","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41649-023-00248-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9799304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-30DOI: 10.1007/s41649-023-00245-6
Maria Regina Rachmawati, Mubasyisyir Hasanbasri, Mohammad Hakimi
Abstract
Individuals with chronic spinal cord injury (CSCI) require complex and lengthy health services based on ethical philosophy. The virtue character that is most relevant to the egalitarian concept is fairness. The aim of the study is whether the character of fairness becomes the character of a doctor serving individuals with CSCI. It is a mixed method cross-sectional explanatory study, with questionnaires sent to doctors and individuals with CSCI, interviews with doctors, and healthcare system field observation. Sixty-two doctors and 33 patients with CSCI participated in the study. The virtues most frequently chosen by doctors were love, gratitude, spirituality, zest, fairness, and kindness. The CSCI patients’ views regarding doctors’ characters were a postponement of personal interest, compassion, and loyalty to trust. All interviewed doctors indicated that they supported more than five of the 24 virtues. Doctors serve with ethical principles of virtue, even though the rewards received are inadequate. In fact, the use of health services by CSCI is still limited. Virtue ethics, especially the character of fairness, is necessary as a base of positive relationships between doctors and patients, to achieve equality of benefits for CSCI patients. Data obtained that the doctors’ character of fairness is still not the main choice.
{"title":"Virtue Ethics among Physicians who serve Individuals with Chronic Spinal Cord Injury in Indonesia","authors":"Maria Regina Rachmawati, Mubasyisyir Hasanbasri, Mohammad Hakimi","doi":"10.1007/s41649-023-00245-6","DOIUrl":"10.1007/s41649-023-00245-6","url":null,"abstract":"<div><h2>Abstract\u0000</h2><div><p>Individuals with chronic spinal cord injury (CSCI) require complex and lengthy health services based on ethical philosophy. The virtue character that is most relevant to the egalitarian concept is fairness. The aim of the study is whether the character of fairness becomes the character of a doctor serving individuals with CSCI. It is a mixed method cross-sectional explanatory study, with questionnaires sent to doctors and individuals with CSCI, interviews with doctors, and healthcare system field observation. Sixty-two doctors and 33 patients with CSCI participated in the study. The virtues most frequently chosen by doctors were love, gratitude, spirituality, zest, fairness, and kindness. The CSCI patients’ views regarding doctors’ characters were a postponement of personal interest, compassion, and loyalty to trust. All interviewed doctors indicated that they supported more than five of the 24 virtues. Doctors serve with ethical principles of virtue, even though the rewards received are inadequate. In fact, the use of health services by CSCI is still limited. Virtue ethics, especially the character of fairness, is necessary as a base of positive relationships between doctors and patients, to achieve equality of benefits for CSCI patients. Data obtained that the doctors’ character of fairness is still not the main choice.</p></div></div>","PeriodicalId":44520,"journal":{"name":"Asian Bioethics Review","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41649-023-00245-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9736461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-30DOI: 10.1007/s41649-023-00247-4
Ayako Kamisato, Hyunsoo Hong, Suguru Okubo
Abstract
One of the ethical principles of medical research involving human subjects is obtaining proper informed consent (IC). However, if the participants’ actual awareness of medical research terminology is lower than the researchers’ prediction of that awareness, it may cause difficulty obtaining proper IC. Therefore, this study aims to clarify the presence of “perception gaps” and then discuss IC-related issues and measures based on the insights obtained. We conducted two online surveys: a “public survey” to understand the Japanese public’s awareness of 11 medical research terms and a “physicians’ survey” to investigate physicians’ predictions regarding public awareness. In the “public survey,” for each term, respondents were instructed to select their situation from “understand,” “have heard,” or “have never heard.” In the “physicians’ survey,” respondents were asked to estimate the proportions of the general public who would “have understood,” “have heard,” or “have never heard” by using an 11-step scale. We analyzed separately in two age groups to understand the age-related difference. We received 1002 valid responses for the “public survey” and 275 for the “physicians’ survey.” Of the public respondents, more than 80% had never heard of terms such as interventional study, prospective clinical study, cohort study, Phase I clinical trial, or double-blind study. Concurrently, physicians overestimated general public awareness of the terms placebo, cohort study, double-blind study, and randomized clinical trial (in the group of people under 60). The results revealed the perception gap between the general public and physicians which raise serious concerns about obtaining proper IC from clinical research participants.
{"title":"Public Awareness of Medical Research Terminology in Japan, and the Accuracy of Physicians’ Predictions regarding that Awareness","authors":"Ayako Kamisato, Hyunsoo Hong, Suguru Okubo","doi":"10.1007/s41649-023-00247-4","DOIUrl":"10.1007/s41649-023-00247-4","url":null,"abstract":"<div><h2>Abstract\u0000</h2><div><p>One of the ethical principles of medical research involving human subjects is obtaining proper informed consent (IC). However, if the participants’ actual awareness of medical research terminology is lower than the researchers’ prediction of that awareness, it may cause difficulty obtaining proper IC. Therefore, this study aims to clarify the presence of “perception gaps” and then discuss IC-related issues and measures based on the insights obtained. We conducted two online surveys: a “public survey” to understand the Japanese public’s awareness of 11 medical research terms and a “physicians’ survey” to investigate physicians’ predictions regarding public awareness. In the “public survey,” for each term, respondents were instructed to select their situation from “understand,” “have heard,” or “have never heard.” In the “physicians’ survey,” respondents were asked to estimate the proportions of the general public who would “have understood,” “have heard,” or “have never heard” by using an 11-step scale. We analyzed separately in two age groups to understand the age-related difference. We received 1002 valid responses for the “public survey” and 275 for the “physicians’ survey.” Of the public respondents, more than 80% had never heard of terms such as <i>interventional study</i>, <i>prospective clinical study</i>, <i>cohort study</i>, <i>Phase I clinical trial</i>, or <i>double-blind study</i>. Concurrently, physicians overestimated general public awareness of the terms <i>placebo</i>, <i>cohort study</i>, <i>double-blind study</i>, and <i>randomized clinical trial</i> (in the <i>group of people under 60</i>). The results revealed the perception gap between the general public and physicians which raise serious concerns about obtaining proper IC from clinical research participants.</p></div></div>","PeriodicalId":44520,"journal":{"name":"Asian Bioethics Review","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41649-023-00247-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41173621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}