共找到 20 条结果
暂无摘要(点击查看原文获取完整内容)
During the past decade social scientists as well as physicians have shown increased interest in the problem of how differences in doctor-patient relationships1 may lead to variations in compliance2 on the part of patients. As the growing literature attests, there is no dearth of relevant theoretical formulations; however, empirical studies which present data to support existing analyses are relatively sparse. Moreover, little attention has been given to identification of other sources of influence which, along with the interaction between the doctor and patient, may play a part in determining whether or not patients follow their physicians' instructions. Indeed, the doctor-patient relationship has sometimes been approached as if it operated within a vacuum in which *Abridged and revised from part of a larger report by Milton S. Davis entitled Factors Affecting Perceived Compliance with the Medical Regimens Established for Heart Patients by Their Physicians, unpublished Ph.D. dissertation, Purdue University, 1962. The data used in this report were collected as part of the Purdue Farm Cardiac Project co-sponsored by Purdue University, Indiana Heart Association, American Heart Association, Indiana State Board of Health and the National Heart Institute. A more complete description of the project is contained in Proceedings of the Purdue Farm Cardiac Seminar, W. H. M. Morris, editor, Purdue University, Agricultural Experiment Station, Lafayette, Indiana, September, 1958. The authors are indebted to G. J. Kallas, W. H. M. Morris, D. C. Riedel, and L. Turgeon for their assistance in either the collection, analysis or presentation of these data. tCornell University Medical College :Department of Sociology, Purdue University 1. As early as 1935 L. J. Henderson called attention to the doctor-patient relationship as a social system. (Physician and Patient as a Social New England Journal of Medicine, 212, 1935, pp. 819-825). More recently, Parsons in his various articles dealing with medical sociology has characterized the patient Social System, Glencoe, Illinois: The Free Press, 1951), the physician (Illness and the Role of the Physician, American Journal of Orthopsychiatry, 21, 1951, pp. 425-460), and the role which the family plays in illness (Talcott Parsons and Renee Fox, Illness, Therapy and the Modern Urban Family, Journal of Social Issues, 8, 1952, pp. 31-44). Bales points out that socio-structural factors lead to changes in social relationships in such a way that a certain indifference, impersonality and emotional neutrality become institutionalized as explicit obligations in the performance of particular roles, including that of the doctor with his patient. (Robert F. Bales, Small Groups: Studies in Social editor, A. Paul Hare, et al., New York: Alfred A. Knopf, 1955). Dilemmas in the doctor-patient relationship have been discussed by Eliot Freidson (Patients' Views of Medical Practice, New York: Russell Sage Foundation, 1961) and R. H. Blum Management of the DoctorPatient Relationship, New York: McGraw Hill Company, 1960). In an intensive study of 50 doctorpatient relationships, Lois Pratt, Arthur Seligman and George Reader (Physician's View of the Level of Medical Information Among Patients, American Journal of Public Health, 47, 1957, pp. 1277-1283) focus on the give and take in the interaction. Of particular interest is the question of communication of information between clinic patients and physicians. Gene Levine, (The Good Physician: A Study of Physician-Patient Interaction, Working Paper No. 3, Evaluation Studies of the Cornell Comprehensive Care and Teaching Program, Bureau of Applied Social Research, Columbia University, 1957) in another intensive study of doctor-patient relationships, identified a number of role attributes and obligations which govern the practicing physician. Henry Lennard and Arnold Bernstein Anatomy of Psychotherapy, New York: Columbia University Press, 1961) in an intensive analysis of 500 sessions from eight individual psychotherapies applied social science concepts and methods to describe interaction and systems of relationships for the purpose of understanding the structure of therapeutic communication. 2. Other investigators have been directly concerned with compliance in the medical regimens. Harold Roth and David Berger (Studies of Patient Cooperation in Ulcer Treatment, I. Observation of Actual as Compared to Prescribed Antacid Intake on a Hospital Ward, Gastroenterology, 38, 1960, pp. 630-633) found that patients with peptic ulcer
The ethics of medical research have grown as an area of expertise and debate in recent years, with two broad approaches emerging in relation to transnational research: (1) the refinement of guidelines and strengthening of review, processes primarily to protect the right of individual research participants and strengthen interpersonal relations at the micro-level; and (2) considering more centrally, as crucial ethical concerns, the wider interests of whole populations, the functioning of research institutions, the processes of collaboration, and the ethics of inequitable international relations. We see the two areas of debate and action as complementary, and believe that social science conducted in and around transnational medical research environments can bring these two perspectives together in a more 'situated ethics' of research. To explore this idea for medical research in Africa, we organized a conference in December 2005 in Kilifi, Kenya. In this introduction we outline the two emerging approaches to medical ethics, summarise each of seven papers selected from the conference for inclusion in this special issue on ethics and ethnography, and finally highlight two areas of lively debate at the conference itself: the appropriateness and value of ethics guidelines and review boards for medical research; and the ethical review of social science research. Together, the papers and debates point to the importance of focusing on the ethics of relationships and on justice in both biomedicine and social science research, and on giving greater voice and visibility to the field staff who often play a crucial and under-supported role in 'doing ethics' in the field. They also point to the potential value of social science research on the range of relationships operating at different levels and time scales in medical research, including those surrounding community engagement activities, and the role and functioning of ethics review boards. We conclude by highlighting the ethical priority of capacity strengthening in medical research, social science and research ethics in Africa to ensure that local and national priorities and concerns are considered at both the micro and macro levels.
W riting at the beginning of the 20th century, Shaw identified one of the significant contemporary transformations in industrial democracies. In part as the result of advances in science and technology, in part as a rejection of the monopolistic abuses of industrialization, and in part as a consequence of assiduous efforts by the professions themselves, this was a period in which the legitimacy and social authority of professionals increased dramatically ( Brint 1994 ; Krause 1996 ; Larson 1977 ; Sandel 1996 ). Nowhere was this more evident than in medicine. Over several decades, medicine changed from an occupation with a mixed reputation and little political influence into one that would “dominate both policy and lay perceptions of health problems” ( Freidson 1994 , 31). In a number of countries, the professional authority and political influence of physicians also rose during this era ( Coburn, Torrance, and Kaufert 1983 ; Krause 1996 ; Stone 1980 ), most dramatically in the United States ( Starr 1982 ). The political legitimacy and policymaking influence of the medical profession have greatly declined in American society over the past 30 years. Despite speculation about the causes, there has been little empirical research assessing the different explanations. To address this gap, data collected in 1995 are used to compare attitudes of the American public and policy elites toward medical authority. Statistical analyses reveal that (1) elites are more hostile to professional authority than is the public; (2) the sources of declining legitimacy are different for the public than they are for policy elites; and (3) the perceptions that most threaten the legitimacy of the medical profession pertain to doubts about professional competence, physicians' perceived lack of altruism, and limited confidence in the profession's political influence. This article concludes with some speculations about the future of professional authority in American medicine.
BACKGROUND: Selection of medical students in the UK is still largely based on prior academic achievement, although doubts have been expressed as to whether performance in earlier life is predictive of outcomes later in medical school or post-graduate education. This study analyses data from five longitudinal studies of UK medical students and doctors from the early 1970s until the early 2000s. Two of the studies used the AH5, a group test of general intelligence (that is, intellectual aptitude). Sex and ethnic differences were also analyzed in light of the changing demographics of medical students over the past decades. METHODS: Data from five cohort studies were available: the Westminster Study (began clinical studies from 1975 to 1982), the 1980, 1985, and 1990 cohort studies (entered medical school in 1981, 1986, and 1991), and the University College London Medical School (UCLMS) Cohort Study (entered clinical studies in 2005 and 2006). Different studies had different outcome measures, but most had performance on basic medical sciences and clinical examinations at medical school, performance in Membership of the Royal Colleges of Physicians (MRCP(UK)) examinations, and being on the General Medical Council Specialist Register. RESULTS: Correlation matrices and path analyses are presented. There were robust correlations across different years at medical school, and medical school performance also predicted MRCP(UK) performance and being on the GMC Specialist Register. A-levels correlated somewhat less with undergraduate and post-graduate performance, but there was restriction of range in entrants. General Certificate of Secondary Education (GCSE)/O-level results also predicted undergraduate and post-graduate outcomes, but less so than did A-level results, but there may be incremental validity for clinical and post-graduate performance. The AH5 had some significant correlations with outcome, but they were inconsistent. Sex and ethnicity also had predictive effects on measures of educational attainment, undergraduate, and post-graduate performance. Women performed better in assessments but were less likely to be on the Specialist Register. Non-white participants generally underperformed in undergraduate and post-graduate assessments, but were equally likely to be on the Specialist Register. There was a suggestion of smaller ethnicity effects in earlier studies. CONCLUSIONS: The existence of the Academic Backbone concept is strongly supported, with attainment at secondary school predicting performance in undergraduate and post-graduate medical assessments, and the effects spanning many years. The Academic Backbone is conceptualized in terms of the development of more sophisticated underlying structures of knowledge ('cognitive capital' and 'medical capital'). The Academic Backbone provides strong support for using measures of educational attainment, particularly A-levels, in student selection.
BACKGROUND: Measles was declared eliminated from the United States in 2000 but remains endemic worldwide. In 2005, a 17-year-old unvaccinated girl who was incubating measles returned from Romania, creating the largest documented outbreak of measles in the United States since 1996. METHODS: We conducted a case-series investigation, molecular typing of viral isolates, surveys of rates of vaccination coverage, interviews regarding attitudes toward vaccination, and cost surveys. RESULTS: Approximately 500 persons attended a gathering with the index patient one day after her return home. Approximately 50 lacked evidence of measles immunity, of whom 16 (32 percent) acquired measles at the gathering. During the six weeks after the gathering, a total of 34 cases of measles were confirmed. Of the patients with confirmed measles, 94 percent were unvaccinated, 88 percent were less than 20 years of age, and 9 percent were hospitalized. Of the 28 patients who were 5 to 19 years of age, 71 percent were home-schooled. Vaccine failure occurred in two persons. The virus strain was genotype D4, which is endemic in Romania. Although containment measures began after 20 persons were already infectious, measles remained confined mostly to children whose parents had refused to have them vaccinated, primarily out of concern for adverse events from the vaccine. Seventy-one percent of patients were from four households. Levels of measles-vaccination coverage in Indiana were 92 percent for preschoolers and 98 percent for sixth graders. Estimated costs of containing the disease were at least 167,685 dollars, including 113,647 dollars at a hospital with an infected employee. CONCLUSIONS: This outbreak was caused by the importation of measles into a population of children whose parents had refused to have them vaccinated because of safety concerns about the vaccine. High vaccination levels in the surrounding community and low rates of vaccine failure averted an epidemic. Maintenance of high rates of vaccination coverage, including improved strategies of communication with persons who refuse vaccination, is necessary to prevent future outbreaks and sustain the elimination of measles in the United States.
The Metaverse is an online universe that combines virtual reality and augmented reality, linked together via a network.It has generated novel experiences that are fully engaging and transpire in real time, facilitating interpersonal communication and dialogue. Virtual environments with 3D space and avatars can boost patient-facing platforms, operational utilisation, digital education, diagnostics, and treatment choices in medicine and ophthalmology. Globally, there is an increasing prevalence of chronic diseases, with an estimated 25 percent of individuals presently contending with multiple chronic health issues. The management of chronic diseases is currently being rethought in light of the development of technology known together as "Smart Healthcare." A prime example is state-of-the-art wearable technology that incentivizes people to embrace healthier lifestyles through the monitoring of physiological indicators and metabolic processes. With better data organisation and analysis, chronic disease patients may benefit from improved health, privacy, and quality of life. Through the examination of physiological data acquired from wearable devices on a patient, Artificial Intelligence (AI) has the capability to generate informed recommendations pertaining to the diagnosis and treatment of illness. These recommendations can be provided by AI. The adoption of blockchain technology (BC) has the potential to significantly advance healthcare in a variety of ways, including decentralised data sharing, user privacy, user empowerment, and dependability in data administration. The potential impact of Wearable Technologies (WT), Artificial Intelligence (AI), and Blockchain Technology (BC) on Chronic Disease Management (CDM) could be a transition in emphasis from the hospital to the patient. This article provides a patient-centered technical framework for controlling chronic diseases using artificial intelligence, blockchain, and wearable technologies. Our proposed architecture depends on Metaverse environment. In order to participate in the Metaverse, both patients and physicians need to sign up on the Blockchain network. After entering, customers will be accompanied by avatars throughout the experience. A comprehensive record of all information gathered during doctor-patient consultations, including text, videos, images, audio, and clinical data, will be compiled, uploaded to the blockchain, and stored in perpetuity. Explainable Artificial Intelligence (XAI) algorithms examine these particulars in order to diagnose and forecast the progression of diseases. We conclude with a discussion of the constraints of this novel paradigm and recommendations for future research.
Policy Points This scoping review reveals a growing literature on the effects of certain state opioid misuse prevention policies, but persistent gaps in evidence on other prevalent state policies remain. Policymakers interested in reducing the volume and dosage of opioids prescribed and dispensed can consider adopting robust prescription drug monitoring programs with mandatory access provisions and drug supply management policies, such as prior authorization policies for high-risk prescription opioids. Further research should concentrate on potential unintended consequences of opioid misuse prevention policies, differential policy effects across populations, interventions that have not received sufficient evaluation (eg, Good Samaritan laws, naloxone access laws), and patient-related outcomes. CONTEXT: In the midst of an opioid crisis in the United States, an influx of state opioid misuse prevention policies has provided new opportunities to generate evidence of policy effectiveness that can inform policy decisions. We conducted a scoping review to synthesize the available evidence on the effectiveness of US state interventions to improve patient and provider outcomes related to opioid misuse and addiction. METHODS: We searched six online databases to identify evaluations of state opioid policies. Eligible studies examined legislative and administrative policy interventions that evaluated (a) prescribing and dispensing, (b) patient behavior, or (c) patient health. FINDINGS: Seventy-one articles met our inclusion criteria, including 41 studies published between 2016 and 2018. These articles evaluated nine types of state policies targeting opioid misuse. While prescription drug monitoring programs (PDMPs) have received considerable attention in the literature, far fewer studies addressed other types of state policy. Overall, evidence quality is very low for the majority of policies due to a small number of evaluations. Of interventions that have been the subject of considerable research, promising means of reducing the volume and dosages of opioids prescribed and dispensed include drug supply management policies and robust PDMPs. Due to low study number and quality, evidence is insufficient to draw conclusions regarding interventions targeting patient behavior and health outcomes, including naloxone access laws and Good Samaritan laws. CONCLUSIONS: Recent research has improved the evidence base on several state interventions targeting opioid misuse. Specifically, moderate evidence suggests that drug supply management policies and robust PDMPs reduce opioid prescribing. Despite the increase in rigorous evaluations, evidence remains limited for the majority of policies, particularly those targeting patient health-related outcomes.
This volume contains the articles which the author contributed to the<i>Journal of the Indiana State Medical Association</i>during 1909-1911 while he was chairman of the committee on necrology. There is an interesting introduction by Dr. Brayton of Indianapolis. The chapters on the early medical history of Vincennes and Indiana are full of valuable historical material, as are the succeeding chapters dealing with the early history of various localities. There are chapters on the state society, on epidemics and health laws, war history, and an alphabetical list of deceased physicians, together with biographical notices in a number of instances. Pictures of a number of the more prominent physicians are inserted. As a source for reliable historical material, Dr. Kemper's book will acquire an increasing value as years go on. The example he has set for state medical history should be followed in other states.
BACKGROUND: The main objective of this research is to identify, categorize, and analyze barriers perceived by physicians to the adoption of Electronic Medical Records (EMRs) in order to provide implementers with beneficial intervention options. METHODS: A systematic literature review, based on research papers from 1998 to 2009, concerning barriers to the acceptance of EMRs by physicians was conducted. Four databases, "Science", "EBSCO", "PubMed" and "The Cochrane Library", were used in the literature search. Studies were included in the analysis if they reported on physicians' perceived barriers to implementing and using electronic medical records. Electronic medical records are defined as computerized medical information systems that collect, store and display patient information. RESULTS: The study includes twenty-two articles that have considered barriers to EMR as perceived by physicians. Eight main categories of barriers, including a total of 31 sub-categories, were identified. These eight categories are: A) Financial, B) Technical, C) Time, D) Psychological, E) Social, F) Legal, G) Organizational, and H) Change Process. All these categories are interrelated with each other. In particular, Categories G (Organizational) and H (Change Process) seem to be mediating factors on other barriers. By adopting a change management perspective, we develop some barrier-related interventions that could overcome the identified barriers. CONCLUSIONS: Despite the positive effects of EMR usage in medical practices, the adoption rate of such systems is still low and meets resistance from physicians. This systematic review reveals that physicians may face a range of barriers when they approach EMR implementation. We conclude that the process of EMR implementation should be treated as a change project, and led by implementers or change managers, in medical practices. The quality of change management plays an important role in the success of EMR implementation. The barriers and suggested interventions highlighted in this study are intended to act as a reference for implementers of Electronic Medical Records. A careful diagnosis of the specific situation is required before relevant interventions can be determined.
The Central Brain Tumor Registry of the United States (CBTRUS), in collaboration with the CDC and NCI, is the largest population-based registry focused exclusively on primary brain and other central nervous system (CNS) tumors in the United States (US) and represents the entire US population. This report contains the most up-to-date population-based data on primary brain tumors available and supersedes all previous reports in terms of completeness and accuracy and is the first CBTRUS Report to provide the distribution of molecular markers for selected brain and CNS tumor histologies. All rates are age-adjusted using the 2000 US standard population and presented per 100,000 population. The average annual age-adjusted incidence rate (AAAIR) of all malignant and non-malignant brain and other CNS tumors was 24.25 (Malignant AAAIR=7.06, Non-malignant AAAIR=17.18). This overall rate was higher in females compared to males (26.95 versus 21.35) and non-Hispanics compared to Hispanics (24.68 versus 22.12). The most commonly occurring malignant brain and other CNS tumor was glioblastoma (14.3% of all tumors and 49.1% of malignant tumors), and the most common non-malignant tumor was meningioma (39% of all tumors and 54.5% of non-malignant tumors). Glioblastoma was more common in males, and meningioma was more common in females. In children and adolescents (age 0-19 years), the incidence rate of all primary brain and other CNS tumors was 6.21. An estimated 88,190 new cases of malignant and non-malignant brain and other CNS tumors are expected to be diagnosed in the US population in 2021 (25,690 malignant and 62,500 non-malignant). There were 83,029 deaths attributed to malignant brain and other CNS tumors between 2014 and 2018. This represents an average annual mortality rate of 4.43 per 100,000 and an average of 16,606 deaths per year. The five-year relative survival rate following diagnosis of a malignant brain and other CNS tumor was 66.9%, for a non-malignant brain and other CNS tumors the five-year relative survival rate was 92.1%.
BACKGROUND: The global spread of coronavirus disease 2019 (COVID-19) has been mirrored by diffusion of misinformation and conspiracy theories about its origins (such as 5G cellular networks) and the motivations of preventive measures like vaccination, social distancing, and face masks (for example, as a political ploy). These beliefs have resulted in substantive, negative real-world outcomes but remain largely unstudied. METHODS: This was a cross-sectional, online survey (n=660). Participants were asked about the believability of five selected COVID-19 narratives, their political orientation, their religious commitment, and their trust in science (a 21-item scale), along with sociodemographic items. Data were assessed descriptively, then latent profile analysis was used to identify subgroups with similar believability profiles. Bivariate (ANOVA) analyses were run, then multivariable, multivariate logistic regression was used to identify factors associated with membership in specific COVID-19 narrative believability profiles. RESULTS: For the full sample, believability of the narratives varied, from a low of 1.94 (SD=1.72) for the 5G narrative to a high of 5.56 (SD=1.64) for the zoonotic (scientific consensus) narrative. Four distinct belief profiles emerged, with the preponderance (70%) of the sample falling into Profile 1, which believed the scientifically accepted narrative (zoonotic origin) but not the misinformed or conspiratorial narratives. Other profiles did not disbelieve the zoonotic explanation, but rather believed additional misinformation to varying degrees. Controlling for sociodemographics, political orientation and religious commitment were marginally, and typically non-significantly, associated with COVID-19 belief profile membership. However, trust in science was a strong, significant predictor of profile membership, with lower trust being substantively associated with belonging to Profiles 2 through 4. CONCLUSIONS: Belief in misinformation or conspiratorial narratives may not be mutually exclusive from belief in the narrative reflecting scientific consensus; that is, profiles were distinguished not by belief in the zoonotic narrative, but rather by concomitant belief or disbelief in additional narratives. Additional, renewed dissemination of scientifically accepted narratives may not attenuate belief in misinformation. However, prophylaxis of COVID-19 misinformation might be achieved by taking concrete steps to improve trust in science and scientists, such as building understanding of the scientific process and supporting open science initiatives.
One of the major tasks of medical educators is to help maintain and increase trainee empathy for patients. Yet research suggests that during the course of medical training, empathy in medical students and residents decreases. Various exercises and more comprehensive paradigms have been introduced to promote empathy and other humanistic values, but with inadequate success. This paper argues that the potential for medical education to promote empathy is not easy for two reasons: a) Medical students and residents have complex and mostly unresolved emotional responses to the universal human vulnerability to illness, disability, decay, and ultimately death that they must confront in the process of rendering patient care b) Modernist assumptions about the capacity to protect, control, and restore run deep in institutional cultures of mainstream biomedicine and can create barriers to empathic relationships. In the absence of appropriate discourses about how to emotionally manage distressing aspects of the human condition, it is likely that trainees will resort to coping mechanisms that result in distance and detachment. This paper suggests the need for an epistemological paradigm that helps trainees develop a tolerance for imperfection in self and others; and acceptance of shared emotional vulnerability and suffering while simultaneously honoring the existence of difference. Reducing the sense of anxiety and threat that are now reinforced by the dominant medical discourse in the presence of illness will enable trainees to learn to emotionally contain the suffering of their patients and themselves, thus providing a psychologically sound foundation for the development of true empathy.
BACKGROUND: Disease-associated malnutrition has been identified as a prevalent condition, particularly for the elderly, which has often been overlooked in the U.S. healthcare system. The state-level burden of community-based disease-associated malnutrition is unknown and there have been limited efforts by state policy makers to identify, quantify, and address malnutrition. The objective of this study was to examine and quantify the state-level economic burden of disease-associated malnutrition. METHODS: Direct medical costs of disease-associated malnutrition were calculated for 8 diseases: Stroke, Chronic Obstructive Pulmonary Disease, Coronary Heart Failure, Breast Cancer, Dementia, Musculoskeletal Disorders, Depression, and Colorectal Cancer. National disease and malnutrition prevalence rates were estimated for subgroups defined by age, race, and sex using the National Health and Nutrition Examination Survey and the National Health Interview Survey. State prevalence of disease-associated malnutrition was estimated by combining national prevalence estimates with states' demographic data from the U.S. Census. Direct medical cost for each state was estimated as the increased expenditures incurred as a result of malnutrition. PRINCIPAL FINDINGS: Direct medical costs attributable to disease-associated malnutrition vary among states from an annual cost of $36 per capita in Utah to $65 per capita in Washington, D.C. Nationally the annual cost of disease-associated malnutrition is over $15.5 billion. The elderly bear a disproportionate share of this cost on both the state and national level. CONCLUSIONS: Additional action is needed to reduce the economic impact of disease-associated malnutrition, particularly at the state level. Nutrition may be a cost-effective way to help address high health care costs.
Population prevalence of persons infected with SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), varies by subpopulation and locality. U.S. studies of SARS-CoV-2 infection have examined infections in nonrandom samples (1) or seroprevalence in specific populations* (2), which are limited in their generalizability and cannot be used to accurately calculate infection-fatality rates. During April 25-29, 2020, Indiana conducted statewide random sample testing of persons aged ≥12 years to assess prevalence of active infection and presence of antibodies to SARS-CoV-2; additional nonrandom sampling was conducted in racial and ethnic minority communities to better understand the impact of the virus in certain racial and ethnic minority populations. Estimates were adjusted for nonresponse to reflect state demographics using an iterative proportional fitting method. Among 3,658 noninstitutionalized participants in the random sample survey, the estimated statewide point prevalence of active SARS-CoV-2 infection confirmed by reverse transcription-polymerase chain reaction (RT-PCR) testing was 1.74% (95% confidence interval [CI] = 1.10-2.54); 44.2% of these persons reported no symptoms during the 2 weeks before testing. The prevalence of immunoglobulin G (IgG) seropositivity, indicating past infection, was 1.09% (95% CI = 0.76-1.45). The overall prevalence of current and previous infections of SARS-CoV-2 in Indiana was 2.79% (95% CI = 2.02-3.70). In the random sample, higher overall prevalences were observed among Hispanics and those who reported having a household contact who had previously been told by a health care provider that they had COVID-19. By late April, an estimated 187,802 Indiana residents were currently or previously infected with SARS-CoV-2 (9.6 times higher than the number of confirmed cases [17,792]) (3), and 1,099 residents died (infection-fatality ratio = 0.58%). The number of reported cases represents only a fraction of the estimated total number of infections. Given the large number of persons who remain susceptible in Indiana, adherence to evidence-based public health mitigation and containment measures (e.g., social distancing, consistent and correct use of face coverings, and hand hygiene) is needed to reduce surge in hospitalizations and prevent morbidity and mortality from COVID-19.
AIM: The "2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation" provides recommendations to guide clinicians in the treatment of patients with atrial fibrillation. METHODS: A comprehensive literature search was conducted from May 12, 2022, to November 3, 2022, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. Additional relevant studies, published through November 2022, during the guideline writing process, were also considered by the writing committee and added to the evidence tables, where appropriate. STRUCTURE: Atrial fibrillation is the most sustained common arrhythmia, and its incidence and prevalence are increasing in the United States and globally. Recommendations from the "2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" and the "2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" have been updated with new evidence to guide clinicians. In addition, new recommendations addressing atrial fibrillation and thromboembolic risk assessment, anticoagulation, left atrial appendage occlusion, atrial fibrillation catheter or surgical ablation, and risk factor modification and atrial fibrillation prevention have been developed.
BACKGROUND: Although the national obesity epidemic has been well documented, less is known about obesity at the U.S. state level. Current estimates are based on body measures reported by persons themselves that underestimate the prevalence of obesity, especially severe obesity. METHODS: We developed methods to correct for self-reporting bias and to estimate state-specific and demographic subgroup-specific trends and projections of the prevalence of categories of body-mass index (BMI). BMI data reported by 6,264,226 adults (18 years of age or older) who participated in the Behavioral Risk Factor Surveillance System Survey (1993-1994 and 1999-2016) were obtained and corrected for quantile-specific self-reporting bias with the use of measured data from 57,131 adults who participated in the National Health and Nutrition Examination Survey. We fitted multinomial regressions for each state and subgroup to estimate the prevalence of four BMI categories from 1990 through 2030: underweight or normal weight (BMI [the weight in kilograms divided by the square of the height in meters], <25), overweight (25 to <30), moderate obesity (30 to <35), and severe obesity (≥35). We evaluated the accuracy of our approach using data from 1990 through 2010 to predict 2016 outcomes. RESULTS: The findings from our approach suggest with high predictive accuracy that by 2030 nearly 1 in 2 adults will have obesity (48.9%; 95% confidence interval [CI], 47.7 to 50.1), and the prevalence will be higher than 50% in 29 states and not below 35% in any state. Nearly 1 in 4 adults is projected to have severe obesity by 2030 (24.2%; 95% CI, 22.9 to 25.5), and the prevalence will be higher than 25% in 25 states. We predict that, nationally, severe obesity is likely to become the most common BMI category among women (27.6%; 95% CI, 26.1 to 29.2), non-Hispanic black adults (31.7%; 95% CI, 29.9 to 33.4), and low-income adults (31.7%; 95% CI, 30.2 to 33.2). CONCLUSIONS: Our analysis indicates that the prevalence of adult obesity and severe obesity will continue to increase nationwide, with large disparities across states and demographic subgroups. (Funded by the JPB Foundation.).
BACKGROUND: Groups and individuals that seek to negatively influence public opinion about the safety and value of vaccination are active in online and social media and may influence decision making within some communities. OBJECTIVE: We sought to measure whether exposure to negative opinions about human papillomavirus (HPV) vaccines in Twitter communities is associated with the subsequent expression of negative opinions by explicitly measuring potential information exposure over the social structure of Twitter communities. METHODS: We hypothesized that prior exposure to opinions rejecting the safety or value of HPV vaccines would be associated with an increased risk of posting similar opinions and tested this hypothesis by analyzing temporal sequences of messages posted on Twitter (tweets). The study design was a retrospective analysis of tweets related to HPV vaccines and the social connections between users. Between October 2013 and April 2014, we collected 83,551 English-language tweets that included terms related to HPV vaccines and the 957,865 social connections among 30,621 users posting or reposting the tweets. Tweets were classified as expressing negative or neutral/positive opinions using a machine learning classifier previously trained on a manually labeled sample. RESULTS: During the 6-month period, 25.13% (20,994/83,551) of tweets were classified as negative; among the 30,621 users that tweeted about HPV vaccines, 9046 (29.54%) were exposed to a majority of negative tweets. The likelihood of a user posting a negative tweet after exposure to a majority of negative opinions was 37.78% (2780/7361) compared to 10.92% (1234/11,296) for users who were exposed to a majority of positive and neutral tweets corresponding to a relative risk of 3.46 (95% CI 3.25-3.67, P<.001). CONCLUSIONS: The heterogeneous community structure on Twitter appears to skew the information to which users are exposed in relation to HPV vaccines. We found that among users that tweeted about HPV vaccines, those who were more often exposed to negative opinions were more likely to subsequently post negative opinions. Although this research may be useful for identifying individuals and groups currently at risk of disproportionate exposure to misinformation about HPV vaccines, there is a clear need for studies capable of determining the factors that affect the formation and adoption of beliefs about public health interventions.
INTRODUCTION: During the 1990s, both prevalence and average cigarette consumption declined in the United States, but age-specific changes have not been reported. METHOD: All four of the nationally and state representative U.S. Current Population Surveys-Tobacco Use Supplements from 1991-2002 (n = 542,470) were analyzed for trends in cigarette consumption among smokers in three age groups: 18-29, 30-44, and 45-64 years. A strength of tobacco control index ranking state of residence was added and weighted logistic regression analyses undertaken. RESULTS: Over the decade, both prevalence and average consumption declined. Moderate-heavy smoking (> or =15 cigarettes/day [CPD]) prevalence fell strongly over the period in all three age groups. For those aged > or =30 years, this reduction was accompanied by a similar drop in total smoking prevalence. For those aged 18-29 years, this reduction was associated with an increase in very light smoking (<5 CPD; 12% daily and 88% intermittent smokers) to 22.5% of current smokers with a much smaller reduction in prevalence. Smoke-free homes more than doubled in each age group and mediated the increase in very light smoking levels. Smoke-free workplaces and the strength of tobacco control in the state were also important predictors. Very light smoking was particularly prevalent among college students and graduates. DISCUSSION: The marked reduction in prevalence of moderate-heavy smoking across age groups should translate into a reduced population risk of smoking-related disease in the near term. That this reduction is offset by an increase in light and intermittent smoking in young adults suggests the effectiveness of tobacco industry marketing and needs further research.
BACKGROUND: Intussusception is a form of intestinal obstruction in which a segment of the bowel prolapses into a more distal segment. Our investigation began on May 27, 1999, after nine cases of infants who had intussusception after receiving the tetravalent rhesus-human reassortant rotavirus vaccine (RRV-TV) were reported to the Vaccine Adverse Event Reporting System. METHODS: In 19 states, we assessed the potential association between RRV-TV and intussusception among infants at least 1 but less than 12 months old. Infants hospitalized between November 1, 1998, and June 30, 1999, were identified by systematic reviews of medical and radiologic records. Each infant with intussusception was matched according to age with four healthy control infants who had been born at the same hospital as the infant with intussusception. Information on vaccinations was verified by the provider. RESULTS: Data were analyzed for 429 infants with intussusception and 1763 matched controls in a case-control analysis as well as for 432 infants with intussusception in a case-series analysis. Seventy-four of the 429 infants with intussusception (17.2 percent) and 226 of the 1763 controls (12.8 percent) had received RRV-TV (P=0.02). An increased risk of intussusception 3 to 14 days after the first dose of RRV-TV was found in the case-control analysis (adjusted odds ratio, 21.7; 95 percent confidence interval, 9.6 to 48.9). In the case-series analysis, the incidence-rate ratio was 29.4 (95 percent confidence interval, 16.1 to 53.6) for days 3 through 14 after a first dose. There was also an increase in the risk of intussusception after the second dose of the vaccine, but it was smaller than the increase in risk after the first dose. Assuming full implementation of a national program of vaccination with RRV-TV, we estimated that 1 case of intussusception attributable to the vaccine would occur for every 4670 to 9474 infants vaccinated. CONCLUSIONS: The strong association between vaccination with RRV-TV and intussusception among otherwise healthy infants supports the existence of a causal relation. Rotavirus vaccines with an improved safety profile are urgently needed.