Background In the 1970s, the Federal Trade Commission declared that allowing medical providers to advertise directly to consumers would be “providing the public with truthful information about the price, quality or other aspects of their service.” However, our understanding of the advertising content is highly limited. Objective To assess whether direct-to-consumer medical service advertisements provide relevant information on access, quality and cost of care, a content analysis was conducted. Method Television and online advertisements for medical services directly targeting consumers were collected in two major urban centres in Nevada, USA, identifying 313 television advertisements and 200 non-duplicate online advertisements. Results Both television and online advertisements reliably conveyed information about the services provided and how to make an appointment. At the same time, less than half of the advertisements featured insurance information and hours of operation and less than a quarter of them contained information regarding the quality and price of care. The claims of quality were substantiated in even fewer advertisements. The scarcity of quality and cost information was more severe in television advertisements. Conclusion There is little evidence that medical service advertising, in its current form, would contribute to lower prices or improved quality of care by providing valuablemore »
Analysis of Direct-To-Consumer Healthcare Service Advertisements on Television: An Application of the Patient Expectation Framework
Direct-to-consumer advertisements for healthcare services constitute a rare channel of public communication where consumers see and hear directly from their local providers and healthcare organizations. Although spending on these advertisements has increased drastically during the past decades, research on their content and effects remains rare. To fill this gap, we analyzed primetime television advertisements for healthcare services directly targeting consumers. The advertisements were collected from the two largest media markets in Nevada for one month. In total, 795 advertisements were identified, and 106 of them were non-duplicates. Analysis revealed that the advertisements focused on patients’ good health outcomes by showing them smiling, going out and about, having fun with others, and enjoying rigorous physical activities. On the other hand, the advertisements focused less on the providers. Although the advertisements often showed providers in clinical settings, basic information about their professional degrees was often missing. Mentions of providers’ other qualifications and professional experiences were even scarcer. Also, a substantial number of advertisements failed to show providers interacting with patients. Additional analysis of patient and provider characteristics revealed under-representation of racial or ethnic minority and older adult patients. Representation of women and minorities as providers was even more uncommon. We discussed the more »
- Award ID(s):
- 1759113
- Publication Date:
- NSF-PAR ID:
- 10330759
- Journal Name:
- Health Communication
- Page Range or eLocation-ID:
- 1 to 13
- ISSN:
- 1041-0236
- Sponsoring Org:
- National Science Foundation
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Patient-centered care and healthcare consumerism are the two most dominant ideas about the relationship between patients and providers in the United States. To identify providers’ positions between the two perspectives, we analyzed the content of direct-to-consumer healthcare service advertisements. The advertisements were collected in the state of Nevada ( N = 323) and their landing pages were analyzed for provider attributes, patient experience features, and terms referring to patients and providers. The results showed that the advertisements fully embraced the notion of patient-centeredness by commonly claiming patient-centered care and frequently using the term “patient.” The advertisements also contained multiple indicators of healthcare consumerism, although they avoided using the terms “consumer/customer/client” closely associated with consumerism. Contrary to the prominence of patient experience features, provider attributes were not common. An additional analysis of inter-specialty differences in advertising features confirmed the strong consumerism position of cosmetic surgery providers. Application of the healthcare service advertising analytic scheme developed for this study could help providers and healthcare administrators recognize how their advertising messages may reflect their values.
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Purpose With the increasing dependence on market-based distribution of health-care resources in the USA, spending on health-care service advertisements directly targeting consumers has also increased. Previous research has shown that the ads fail to deliver information deemed essential by regulators. Nevertheless, the attitude of consumers toward health-care service advertising has been more positive than negative. The purpose of this study is to create a taxonomy of advertising information features to better describe the relationships between information features in the advertisements and consumer attitudes toward them. Design/methodology/approach A cross-sectional survey was conducted with 128 health-care consumers in a western state in the USA. Findings Factor analysis generated seven groups of information features. Among them, information features about access, cost and quality of care were rated as most helpful, whereas providers’ clinical qualifications and communication were rated least helpful. The advertising attitude measure was validated to contain two subscales, one regarding health-care service advertising and the other regarding physicians who advertise. People who highly rated the consumerism features had more positive attitudes toward health-care service advertising and people who highly rated provider clinical qualification features had more negative attitudes toward advertising physicians. Originality/value This study made methodological improvements in health-care service advertisingmore »
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Abstract Background SARS-CoV-2 is an RNA virus responsible for the coronavirus disease 2019 (COVID-19) pandemic. Viruses exist in complex microbial environments, and recent studies have revealed both synergistic and antagonistic effects of specific bacterial taxa on viral prevalence and infectivity. We set out to test whether specific bacterial communities predict SARS-CoV-2 occurrence in a hospital setting.
Methods We collected 972 samples from hospitalized patients with COVID-19, their health care providers, and hospital surfaces before, during, and after admission. We screened for SARS-CoV-2 using RT-qPCR, characterized microbial communities using 16S rRNA gene amplicon sequencing, and used these bacterial profiles to classify SARS-CoV-2 RNA detection with a random forest model.
Results Sixteen percent of surfaces from COVID-19 patient rooms had detectable SARS-CoV-2 RNA, although infectivity was not assessed. The highest prevalence was in floor samples next to patient beds (39%) and directly outside their rooms (29%). Although bed rail samples more closely resembled the patient microbiome compared to floor samples, SARS-CoV-2 RNA was detected less often in bed rail samples (11%). SARS-CoV-2 positive samples had higher bacterial phylogenetic diversity in both human and surface samples and higher biomass in floor samples. 16S microbial community profiles enabled high classifier accuracy for SARS-CoV-2 status in not onlymore »
Conclusions These results contextualize the vast diversity of microbial niches where SARS-CoV-2 RNA is detected and identify specific bacterial taxa that associate with the viral RNA prevalence both in the host and hospital environment.
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Obeid, Iyad ; Selesnick, Ivan ; Picone, Joseph (Ed.)The Temple University Hospital Seizure Detection Corpus (TUSZ) [1] has been in distribution since April 2017. It is a subset of the TUH EEG Corpus (TUEG) [2] and the most frequently requested corpus from our 3,000+ subscribers. It was recently featured as the challenge task in the Neureka 2020 Epilepsy Challenge [3]. A summary of the development of the corpus is shown below in Table 1. The TUSZ Corpus is a fully annotated corpus, which means every seizure event that occurs within its files has been annotated. The data is selected from TUEG using a screening process that identifies files most likely to contain seizures [1]. Approximately 7% of the TUEG data contains a seizure event, so it is important we triage TUEG for high yield data. One hour of EEG data requires approximately one hour of human labor to complete annotation using the pipeline described below, so it is important from a financial standpoint that we accurately triage data. A summary of the labels being used to annotate the data is shown in Table 2. Certain standards are put into place to optimize the annotation process while not sacrificing consistency. Due to the nature of EEG recordings, some recordsmore »
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Accepted Manuscript1.0
- Publisher's Version of Record
- https://doi.org/10.1080/10410236.2022.2051349
