With her wide readership and sympathetic and intelligent handling of dentists and dentistry in her detective novels and short stories, it is probable that Dorothy Leigh Sayers(1893-1957) influenced the public perception of dentists favourably, as being true professionals, particularly after the 1921 Act made it a fully closed specialty. Her encounter with a dental automaton seen when she was very young is acknowledged by her as a formative influence.

BACKGROUND: This study examines the perceptions of the Australian public canvassed in 2021 during the COVID-19 pandemic about their health system compared to four previous surveys (2008, 2010, 2012 and 2018).
METHODS: In 2021, a nationwide online survey was conducted with a representative sample of Australians (N = 5100) recruited via market research panels. The results were compared to previous nationwide Australian survey samples from 2018 (N = 1024), 2012 (N = 1200), 2010 (N = 1201) and 2008 (N = 1146). The survey included questions consistent with previous polls regarding self-reported health status and overall opinions of, and confidence in, the Australian health system.
RESULTS: There was an increase in the proportion of respondents reporting positive perceptions at each survey between 2008 and 2021, with a significantly higher proportion of respondents expressing a more positive view of the Australian healthcare system in 2021 compared to previous years (χ2(8, N = 9645) = 487.63, p < 0.001). In 2021, over two-thirds of respondents (n = 3949/5100, 77.4%) reported that following the COVID-19 pandemic, their confidence in the Australian healthcare system had either remained the same (n = 2433/5100, 47.7%) or increased (n = 1516/5100, 29.7%). Overall, respondents living in regional or remote regions, younger Australians (< 45 years) and women held less positive views in relation to the system. In 2021, the most frequently identified area for urgent improvement was the need for more healthcare workers (n = 1350/3576, 37.8%), an area of concern particularly for Australians residing in regional or remote areas (n = 590/1385, 42.6%).
CONCLUSIONS: Irrespective of disruptions to the Australian healthcare system caused by the COVID-19 pandemic, Australians\' perceptions of their healthcare system were positive in 2021. However, concerns were raised about inadequate workforce capacity and the cost of healthcare, with differences identified by age groups and geographical location.
UNASSIGNED: Health consumer representatives from the Consumers Health Forum of Australia contributed to the co-design, deployment, analysis and interpretation of the results of this survey. J.A. and L.W. from the Consumers Health Forum of Australia contributed to the development of the paper.

The public\'s perception of the nursing image deeply influences nurses\' work and professional development. However, the Taiwanese public\'s perception of nursing remains unclear. This study aimed to determine the validity and reliability of a Chinese version of the Nursing Image Scale (NIS) in Taiwan. This was a psychometric study using a cross-sectional survey. Participants were recruited via the snowball sampling method through the online community software LINE from August 1 to 13, 2019. After data collection, the construction and validation of the NIS to measure public opinion were assessed, including content validity, corrected item-total correlation, exploratory factor analysis (EFA), and reliability. A total of 1331 valid responses were included in the analysis. After EFA analysis, the 20 scale items were divided across the four domains of prudence and care, innovation and cooperation, efficiency and division, and professionalism and respect. The NIS (Chinese version) was valid and reliable for measuring public opinion and may be used to examine changes in public perceptions of nursing.

Robot technologies could lead to radical changes in farming. But what does the public know and think about agricultural robots? Recent experience with other agricultural technologies-such as plant genetic engineering-shows that public perceptions can influence the pace and direction of innovation, so understanding perceptions and how they are formed is important. Here, we use representative data from an online survey (n = 2269) to analyze public attitudes towards crop farming robots in Germany-a country where new farming technologies are sometimes seen with skepticism. While less than half of the survey participants are aware of the use of robots in agriculture, general attitudes are mostly positive and the level of interest is high. A framing experiment suggests that the type of information provided influences attitudes. Information about possible environmental benefits increases positive perceptions more than information about possible food security and labor market effects. These insights can help design communication strategies to promote technology acceptance and sustainable innovation in agriculture.

OBJECTIVE: We tested abortion messaging to develop evidence-based communication recommendations for doctors who provide abortion care.
METHODS: We conducted an on-line survey in a nationally representative sample of 1,215 people, using NORC\'s Amerispeak® Panel. We surveyed participants before and after viewing two brief videos featuring doctors who provide abortion care speaking about their work. Doctors\' comments were grounded in strategic communications and applied psychology research and emphasized caregiving roles, avoided political-sounding punditry, and acknowledged abortion\'s complexities. We assessed participants\' characterizations of doctors who provide abortion care, how these characterizations impact support for abortion restrictions and overall views on abortion legality. We analyzed pre-post data using descriptive statistics, t-tests and multivariable regression.
RESULTS: Post-messaging more participants endorsed positive descriptors of doctors who provide abortion care (p<0.001,t=8.99); fewer endorsed negative descriptors (p<0.001,t=10.32). Increased post-messaging endorsement of positive descriptors predicted declines in support for abortion restrictions (AOR = 1.69,p<0.01); decreased endorsement of negative descriptors did not. After messaging, 37% of respondents said their views of doctors who provide abortion care made them less likely to support abortion restrictions, compared to 14% before (p<0.001,t=-6.9). After messaging there was more overall support for legal, accessible abortion and less for abortion being mostly illegal (46%→48% and 24%→22%,p<0.001;t=-4.11).
CONCLUSIONS: When doctors who provide abortion care use messaging recommendations that include speaking about abortion\'s complexities and avoiding political-sounding punditry, they generate more support for legal abortion and less for restrictions.
CONCLUSIONS: The voices of doctors who provide abortion care shape abortion public opinion. When doctors speak from caregiving perspectives, avoid punditry, and acknowledge abortion\'s complexities they generate more support for legal abortion and less for restrictions. However, audiences may not be aware a priori that ideas of doctors shape their views.

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OBJECTIVE: To examine whether comfort with the use of ChatGPT in society differs from comfort with other uses of AI in society and to identify whether this comfort and other patient characteristics such as trust, privacy concerns, respect, and tech-savviness are associated with expected benefit of the use of ChatGPT for improving health.
METHODS: We analyzed an original survey of U.S. adults using the NORC AmeriSpeak Panel (n = 1787). We conducted paired t-tests to assess differences in comfort with AI applications. We conducted weighted univariable regression and 2 weighted logistic regression models to identify predictors of expected benefit with and without accounting for trust in the health system.
RESULTS: Comfort with the use of ChatGPT in society is relatively low and different from other, common uses of AI. Comfort was highly associated with expecting benefit. Other statistically significant factors in multivariable analysis (not including system trust) included feeling respected and low privacy concerns. Females, younger adults, and those with higher levels of education were less likely to expect benefits in models with and without system trust, which was positively associated with expecting benefits (P = 1.6 × 10-11). Tech-savviness was not associated with the outcome.
CONCLUSIONS: Understanding the impact of large language models (LLMs) from the patient perspective is critical to ensuring that expectations align with performance as a form of calibrated trust that acknowledges the dynamic nature of trust.
CONCLUSIONS: Including measures of system trust in evaluating LLMs could capture a range of issues critical for ensuring patient acceptance of this technological innovation.

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BACKGROUND: Despite medical advancements in neonatal survival rates, many children have poor neurological outcomes. Because the law in Korea restricts the withdrawal of life-sustaining treatment to only cases of imminent death, treatment discontinuation may not be an option, even in patients with poor neurological prognosis. This study investigated the opinions of the general population and clinicians regarding life-sustaining treatment withdrawal in such cases using hypothetical scenarios.
METHODS: We conducted a cross-sectional study on the general population and clinicians using a web-based questionnaire. The sample of the general population from an online panel comprised 500 individuals aged 20-69 years selected by quota sampling. The clinician sample comprised 200 clinicians from a tertiary university hospital. We created hypothetical vignettes and questionnaire items to assess attitudes regarding mechanical ventilation withdrawal for an infant at risk of poor neurological prognosis due to birth asphyxia at 2 months and 3 years after the incidence.
RESULTS: Overall, 73% of the general population and 74% of clinicians had positive attitudes toward mechanical ventilator withdrawal at 2 months after birth asphyxia. The proportion of positive attitudes toward mechanical ventilator withdrawal was increased in the general population (84%, P < 0.001) and clinicians (80.5%, P = 0.02) at 3 years after birth asphyxia. Religion, spirituality, the presence of a person with a disability in the household, and household income were associated with the attitudes of the general population. In the multivariable logistic regression analysis of the general population, respondents living with a person with a disability or having a disability were more likely to find the withdrawal of the ventilator at 2 months and 3 years after birth asphyxia not permissible. Regarding religion, respondents who identified as Christians were more likely to find the ventilator withdrawal at 2 months after birth asphyxia unacceptable.
CONCLUSIONS: The general population and clinicians shared the perspective that the decision to withdraw life-sustaining treatment in infants with a poor neurological prognosis should be considered before the end of life. A societal discussion about making decisions centered around the best interest of pediatric patients is warranted.