Understanding the associations between information sources, sociodemographics, and views on public health measures: evidence from the COVID-19 pandemic in Austria.

BACKGROUND: Throughout the COVID-19 pandemic, it was a key priority for governments globally to ensure agreement with, and subsequently adherence to, imposed public health measures, specifically non-pharmaceutical interventions (NPIs). Prior research in this regard highlighted the role of COVID-19 information sources as well as sociodemographic and other personal characteristics, however, there is only limited evidence including both. To bridge this gap, this study investigated the associations of COVID-19 information sources such as social media and participant characteristics with agreement with and adherence to NPIs during the first lockdown in Austria. METHODS: An online survey was conducted in May 2020 among adult Austrian residents asking about their experiences during the first lockdown. Collected data included sociodemographic characteristics, main COVID-19-related information sources, agreement with/adherence to three NPIs (no physical contact to family members not living in the same household, leisurely walks restricted to members of the same household, mandatory face masks) and information about perceived social support using the Multidimensional Scale of Perceived Social Support (MSPSS), anxiety/depression levels using the Hospital Anxiety and Depression Scale (HADS), whether participants felt well advised by the government, and whether participants perceived the pandemic to threaten their income. Ordered and multinomial logistic regression models were employed to achieve the research aims. RESULTS: The cross-sectional sample consisted of 559 Austrian residents. Using social media as main COVID-19 information source was consistently associated with lower agreement with NPIs. A positive association with agreement with measures was found for higher educational backgrounds and higher anxiety levels. By contrast, higher levels of depression, not feeling well advised by the government, and perceiving the pandemic as an economic threat were negatively associated with agreement with measures. Moreover, the use of social media as main COVID-19 information source and not feeling well advised by the government were associated with lower adherence to NPIs. By contrast, higher levels of education were associated with higher adherence. CONCLUSIONS: This comprehensive analysis emphasizes the associations of COVID-19 information sources as well as sociodemographic and other participant characteristics with agreement with and adherence to NPIs, bearing important implications for future public health crisis communication strategies.

Generic Health-Related Quality of Life Utility Measure for Preschool Children (Health Utilities Preschool): Design, Development, and Properties.

OBJECTIVES: Health Utilities Preschool (HuPS) was developed to fill the need for a generic preference-based measure (GPM) applicable in early childhood. A GPM has all the properties for higher-order summary measures, such as quality-adjusted life-years, required to inform important policy decisions regarding health and healthcare services. METHODS: Development was in accordance with published standards for a GPM, statistical procedures, and modeling. HuPS incorporates key components of 2 existing measurement systems: Health Status Classification System for Preschool Children and Health Utilities Index Mark 3 (HUI3). The study included a series of 4 measurement surveys: definitional, adaptational, quantificational, and evaluational health-related quality of life (HRQL). HuPS measurements were evaluated for reliability, validity, interpretability, and acceptability. RESULTS: Definitional measurements identified 8 Health Status Classification System for Preschool Children attributes in common with HUI3 (vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain and discomfort), making the HUI3 scoring equation commensurate with HuPS health states. Adaptational measurements informed the content of attribute-level descriptions (n = 35). Quantificational measurements determined level scoring coefficients. HRQL scoring inter-rater reliability (intraclass correlation coefficient = 0.79) was excellent. Continuity of HRQL scoring with HUI3 was reliable (intraclass correlation coefficient = 0.80, P < .001) and valid (mean absolute difference = 0.016, P = .396). CONCLUSIONS: HuPS is an acceptable, reliable, and valid GPM. HRQL scoring is continuous with HUI3. Continuity expands the applicability of GPM (HUI3) scoring to include subjects as young as 2 years of age. Widespread applications of HuPS would inform important health policy and management decisions as HUI3 does for older subjects.

Public Health Information Seeking, Trust, and COVID-19 Prevention Behaviors: Cross-sectional Study.

BACKGROUND: Preventative health measures such as shelter in place and mask wearing have been widely encouraged to curb the spread of the COVID-19 disease. People's attitudes toward preventative behaviors may be dependent on their sources of information and trust in the information. OBJECTIVE: The aim of this study was to understand the relationship between trusting in COVID-19 information and preventative behaviors in a racially and politically diverse metropolitan area in the United States. METHODS: We conducted a web-based cross-sectional survey of residents in St. Louis City and County in Missouri. Individuals aged ≥18 years were eligible to participate. Participants were recruited using a convenience sampling approach through social media and email. The Health Belief Model and the Socioecological Model informed instrument development, as well as COVID-19-related questions from the Centers for Disease Control and Prevention. We performed an ordinary least squares linear regression model to estimate social distancing practices, perceptions, and trust in COVID-19 information sources. RESULTS: Of the 1650 eligible participants, the majority (n=1381, 83.7%) had sought or received COVID-19-related information from a public health agency, the Centers for Disease Control and Prevention, or both. Regression analysis showed a 1% increase in preventative behaviors for every 12% increase in trust in governmental health agencies. At their lowest levels of trust, women were 68% more likely to engage in preventative behaviors than men. Overall, those aged 18-45 years without vulnerable medical conditions were the least likely to engage in preventative behaviors. CONCLUSIONS: Trust in COVID-19 information increases an individual's likelihood of practicing preventative behaviors. Effective health communication strategies should be used to effectively disseminate health information during disease outbreaks.

Decreased Use of Broad-Spectrum Antibiotics During the Coronavirus Disease 2019 Epidemic in South Korea.

BACKGROUND: Early in the coronavirus disease 2019 (COVID-19) pandemic, there was a concern over possible increase in antibiotic use due to coinfections among COVID-19 patients in the community. Here, we evaluate the changes in nationwide use of broad-spectrum antibiotics during the COVID-19 epidemic in South Korea. METHODS: We obtained national reimbursement data on the prescription of antibiotics, including penicillin with ß-lactamase inhibitors, cephalosporins, fluoroquinolones, and macrolides. We examined the number of antibiotic prescriptions compared with the previous 3 years in the same period from August to July. To quantify the impact of the COVID-19 epidemic on antibiotic use, we developed a regression model adjusting for changes of viral acute respiratory tract infections (ARTIs), which are an important factor driving antibiotic use. RESULTS: During the COVID-19 epidemic in South Korea, the broad-spectrum antibiotic use dropped by 15%-55% compared to the previous 3 years. Overall reduction in antibiotic use adjusting for ARTIs was estimated to be 14%-30%, with a larger impact in children. CONCLUSIONS: Our study found that broad-spectrum antibiotic use was substantially reduced during the COVID-19 epidemic in South Korea. This reduction can be in part due to reduced ARTIs as a result of stringent public health interventions including social distancing measures.

Valuation of preference-based measures: can existing preference data be used to generate better estimates?

BACKGROUND: Experimental studies to develop valuations of health state descriptive systems like EQ-5D or SF-6D need to be conducted in different countries, because social and cultural differences are likely to lead to systematically different valuations. There is a scope utilize the evidence in one country to help with the design and the analysis of a study in another, for this to enable the generation of utility estimates of the second country much more precisely than would have been possible when collecting and analyzing the country's data alone. METHODS: We analyze SF-6D valuation data elicited from representative samples corresponding to the Hong Kong (HK) and United Kingdom (UK) general adult populations through the use of the standard gamble technique to value 197 and 249 health states respectively. We apply a nonparametric Bayesian model to estimate a HK value set using the UK dataset as informative prior to improve its estimation. Estimates are compared to a HK value set estimated using HK values alone using mean predictions and root mean square error. RESULTS: The novel method of modelling utility functions permitted the UK valuations to contribute significant prior information to the Hong Kong analysis. The results suggest that using HK data alongside the existing UK data produces HK utility estimates better than using the HK study data by itself. CONCLUSION: The promising results suggest that existing preference data could be combined with valuation study in a new country to generate preference weights, making own country value sets more achievable for low and middle income countries. Further research is encouraged.

Modelling a preference-based index for EQ-5D using a non-parametric Bayesian method.

BACKGROUND: Conventionally, models used for health state valuation data have been parametric. Recently, a number of researchers have investigated the use of non-parametric Bayesian methods in this area. OBJECTIVES: In this paper, we present a non-parametric Bayesian model to estimate a preference-based index for a five-dimensional health state classification, namely EQ-5D. METHODS: A sample of 2997 members of the UK general population valued 43 health states selected from a total of 243 health states defined by the EQ-5D using time trade-off technique. Findings from non-parametric modelling are reported in this paper and compared to previously used parametric estimations. The impact of respondent characteristics on health state valuations is also reported. RESULTS: The non-parametric models were found to be better at predicting scores in populations with different distributions of characteristics than observed in the survey sample. Additionally, non-parametric models were found to be better at allowing for the impact of respondent characteristics to vary by health state. The results show an important age effect with sex having some effect. CONCLUSION: The non-parametric Bayesian models provide more realistic and better utility estimates from the EQ-5D than previously used parametric models have done. Furthermore, the model is more flexible in estimating the impact of covariates.

Electronic Health Record (EHR)-Based Community Health Measures: An Exploratory Assessment of Perceived Usefulness by Local Health Departments.

BACKGROUND: Given the widespread adoption of electronic health record (EHR) systems in health care organizations, public health agencies are interested in accessing EHR data to improve health assessment and surveillance. Yet there exist few examples in the U.S. of governmental health agencies using EHR data routinely to examine disease prevalence and other measures of community health. The objective of this study was to explore local health department (LHD) professionals' perceptions of the usefulness of EHR-based community health measures, and to examine these perceptions in the context of LHDs' current access and use of sub-county data, data aggregated at geographic levels smaller than county. METHODS: To explore perceived usefulness, we conducted an online survey of LHD professionals in Indiana. One hundred and thirty-three (133) individuals from thirty-one (31) LHDs participated. The survey asked about usefulness of specific community health measures as well as current access to and uses of sub-county population health data. Descriptive statistics were calculated to examine respondents' perceptions, access, and use. A one-way ANOVA (with pairwise comparisons) test was used to compare average scores by LHD size. RESULTS: Respondents overall indicated moderate agreement on which community health measures might be useful. Perceived usefulness of specific EHR-based community health measures varied by size of respondent's LHD [F(3, 88) = 3.56, p = 0.017]. Over 70% of survey respondents reported using community health data, but of those < 30% indicated they had access to sub-county level data. CONCLUSION: Respondents generally preferred familiar community health measures versus novel, EHR-based measures that are not in widespread use within health departments. Access to sub-county data is limited but strongly desired. Future research and development is needed as LHD staff gain access to EHR data and apply these data to support the core function of health assessment.

Reliability and Utility of the Surprise Question in CKD Stages 4 to 5.

BACKGROUND: Prognostic uncertainty is one barrier to engaging in goals-of-care discussions in chronic kidney disease (CKD). The surprise question ("Would you be surprised if this patient died in the next 12 months?") is a tool to assist in prognostication. However, it has not been studied in non-dialysis-dependent CKD and its reliability is unknown. STUDY DESIGN: Observational study. SETTING & PARTICIPANTS: 388 patients at least 60 years of age with non-dialysis-dependent CKD stages 4 to 5 who were seen at an outpatient nephrology clinic. PREDICTOR: Trinary (ie, Yes, Neutral, or No) and binary (Yes or No) surprise question response. OUTCOMES: Mortality, test-retest reliability, and blinded inter-rater reliability. MEASUREMENTS: Baseline comorbid conditions, Charlson Comorbidity Index, cause of CKD, and baseline laboratory values (ie, serum creatinine/estimated glomerular filtration rate, serum albumin, and hemoglobin). RESULTS: Median patient age was 71 years with median follow-up of 1.4 years, during which time 52 (13%) patients died. Using the trinary surprise question, providers responded Yes, Neutral, and No for 202 (52%), 80 (21%), and 106 (27%) patients, respectively. About 5%, 15%, and 27% of Yes, Neutral, and No patients died, respectively (P<0.001). Trinary surprise question inter-rater reliability was 0.58 (95% CI, 0.42-0.72), and test-retest reliability was 0.63 (95% CI, 0.54-0.72). The trinary surprise question No response had sensitivity and specificity of 55% and 76%, respectively (95% CIs, 38%-71% and 71%-80%, respectively). The binary surprise question had sensitivity of 66% (95% CI, 49%-80%; P=0.3 vs trinary), but lower specificity of 68% (95% CI, 63%-73%; P=0.02 vs trinary). LIMITATIONS: Single center, small number of deaths. CONCLUSIONS: The surprise question associates with mortality in CKD stages 4 to 5 and demonstrates moderate to good reliability. Future studies should examine how best to deploy the surprise question to facilitate advance care planning in advanced non-dialysis-dependent CKD.

Vitamin D deficiency and sufficiency among Canadian children residing at high latitude following the revision of the RDA of vitamin D intake in 2010.

Recently, countries at high latitudes have updated their vitamin D recommendations to ensure adequate intake for the musculoskeletal health of their respective populations. In 2010, the dietary guidelines for vitamin D for Canadians and Americans aged 1­70 years increased from 5 µg/d to 15 µg/d, whereas in 2016 for citizens of the UK aged ≥4 years 10 µg/d is recommended. The vitamin D status of Canadian children following the revised dietary guidelines is unknown. Therefore, this study aimed to assess the prevalence and determinants of vitamin D deficiency and sufficiency among Canadian children. For this study, we assumed serum 25-hydroxy vitamin D (25(OH)D) concentrations <30 nmol/l as 'deficient' and ≥50 nmol/l as 'sufficient'. Data from children aged 3­18 years (n 2270) who participated in the 2012/2013 Canadian Health Measures Survey were analysed. Of all children, 5·6% were vitamin D deficient and 71% were vitamin D sufficient. Children who consumed vitamin D-fortified milk daily (77 %) were more likely to be sufficient than those who consumed it less frequently (OR 2·4; 95% CI 1·7, 3·3). The 9% of children who reported taking vitamin D-containing supplements in the previous month had higher 25(OH)D concentrations (ß 5·9 nmol/l; 95% CI 1·3, 12·1 nmol/l) relative to those who did not. Children who were older, obese, of non-white ethnicity and from low-income households were less likely to be vitamin D sufficient. To improve vitamin D status, consumption of vitamin D-rich foods should be promoted, and fortification of more food items or formal recommendations for vitamin D supplementation should be considered.

Bayesian nonparametric estimation of EQ-5D utilities for United States using the existing United Kingdom data.

BACKGROUND: Valuations of health state descriptors such as EQ-5D or SF6D have been conducted in different countries. There is a scope to make use of the results in one country as informative priors to help with the analysis of a study in another, for this to enable better estimation to be obtained in the new country than analyzing its data separately. METHODS: Data from 2 EQ-5D valuation studies were analyzed using the time trade-off technique, where values for 42 health states were devised from representative samples of the UK and US populations. A Bayesian non-parametric approach has been applied to predict the health utilities of the US population, where the UK results were used as informative priors in the model to improve their estimation. RESULTS: The findings showed that employing additional information from the UK data helped in the production of US utility estimates much more precisely than would have been possible using the US study data alone. CONCLUSION: It is very plausible that this method would serve useful in countries where the conduction of large evaluation studies is not very feasible.

A comparison of Hong Kong and United Kingdom SF-6D health states valuations using a nonparametric Bayesian method.

OBJECTIVES: There is interest in the extent to which valuations of health may differ between different countries and cultures, but few studies have compared preference values of health states obtained in different countries. The present study applies a nonparametric model to estimate and compare two HK and UK standard gamble values for six-dimensional health state short form (derived from short-form 36 health survey) (SF-6D) health states using Bayesian methods. METHODS: The data set is the HK and UK SF-6D valuation studies in which two samples of 197 and 249 states defined by the SF-6D were valued by representative samples of the HK and UK general populations, respectively, both using the standard gamble technique. We estimated a function applicable across both countries that explicitly accounts for the differences between them, and is estimated using the data from both countries. RESULTS: The results suggest that differences in SF-6D health state valuations between the UK and HK general populations are potentially important. In particular, the valuations of Hong Kong were meaningfully higher than those of the United Kingdom for most of the selected SF-6D health states. The magnitude of these country-specific differences in health state valuation depended, however, in a complex way on the levels of individual dimensions. CONCLUSIONS: The new Bayesian nonparametric method is a powerful approach for analyzing data from multiple nationalities or ethnic groups to understand the differences between them and potentially to estimate the underlying utility functions more efficiently.

Modeling a preference-based index for two condition-specific measures (asthma and overactive bladder) using a nonparametric Bayesian method.

BACKGROUND: Conventionally, parametric models were used for health state valuation data. Recently, researchers started to explore the use of nonparametric Bayesian methods in this area. OBJECTIVES: We present a nonparametric Bayesian model to estimate a preference-based index for two condition-specific five-dimensional health state classifications, one for asthma (five-dimensional Asthma Quality of Life Utility Index) and the other for overactive bladder (five-dimensional Overactive Bladder Quality of Life-Utility Index). METHODS: Samples of 307 and 311 members of the UK general population valued 99 health states selected from a total of 3125 health states defined by each of the measures using the time trade-off technique. The article presents the results of the nonparametric model and compares it with the original model estimated using a conventional parametric random-effects model. The different methods are compared theoretically and in terms of empirical performance across the two data sets. It also reports the effect of respondent characteristics on health state valuations. RESULTS: The nonparametric models were found to be better at predicting health state values within the estimation sample than without in terms of root mean square error and the patterns of standardized residuals. Some respondent characteristics were found to explain variation in health state values, but these did not have a significant effect on the health states values when estimates were adjusted for sample differences with the general population. CONCLUSIONS: The nonparametric Bayesian models are theoretically more appropriate than previously used parametric models and provide better utility estimates from the two condition-specific measures. Furthermore, the model is more flexible in estimating the effect of covariates.

What was the impact of COVID-19 restrictions on unintentional injuries, in Canada and globally? A scoping review investigating how lockdown measures impacted the global burden of unintentional injury.

Background: Injuries are among the leading causes for hospitalizations and emergency department (ED) visits. COVID-19 restrictions ensured safety to Canadians, but also negatively impacted health outcomes, including increasing rates of certain injuries. These differences in trends have been reported internationally however the evidence is scattered and needs to be better understood to identify opportunities for public education and to prepare for future outbreaks. Objective: A scoping review was conducted to synthesize evidence regarding the impact of COVID-19 restrictions on unintentional injuries in Canada, compared to other countries. Methods: Studies investigating unintentional injuries among all ages during COVID-19 from any country, published in English between December 2019 and July 2021, were included. Intentional injuries and/or previous pandemics were excluded. Four databases were searched (MEDLINE, Embase, Web of Science, SPORTDiscus), and a gray literature search was also conducted. Results: The search yielded 3,041 results, and 189 articles were selected for extraction. A total of 41 reports were included from the gray literature search. Final studies included research from: Europe (n = 85); North America (n = 44); Asia (n = 32); Oceania (n = 12); Africa (n = 8); South America (n = 4); and multi-country (n = 4). Most studies reported higher occurrence of injuries/trauma among males, and the average age across studies was 46 years. The following mechanisms of injury were reported on most frequently: motor vehicle collisions (MVCs; n = 134), falls (n = 104), sports/recreation (n = 65), non-motorized vehicle (n = 31), and occupational (n = 24). Injuries occurring at home (e.g., gardening, home improvement projects) increased, and injuries occurring at schools, workplaces, and public spaces decreased. Overall, decreases were observed in occupational injuries and those resulting from sport/recreation, pedestrian-related, and crush/trap incidents. Decreases were also seen in MVCs and burns, however the severity of injury from these causes increased during the pandemic period. Increases were observed in poisonings, non-motorized vehicle collisions, lacerations, drownings, trampoline injuries; and, foreign body ingestions. Implications: Findings from this review can inform interventions and policies to identify gaps in public education, promote safety within the home, and decrease the negative impact of future stay-at-home measures on unintentional injury among Canadians and populations worldwide.

Estimating the SF-6Dv1 Value Set for a Population-Based Sample in Lebanon.

OBJECTIVES: The SF-6Dv1 is a preference-based measure derived from the SF-36 for use in quality-adjusted life-year estimation for cost-utility analysis. Country-specific value sets for SF-6Dv1 are needed to reflect societal preferences but none are available for Lebanon and other Arabic countries. This study aimed to generate a value set for SF-6Dv1 for Lebanon and to compare results with the UK set. METHODS: A sample of 249 health states defined by the SF-6Dv1 were valued by a representative sample of 577 members of the Lebanon general population, using standard gamble. Several multivariate regression models at mean and individual level were fitted to estimate utilities for all SF-6Dv1 states with selection of best fitting models based on predictive ability, consistency, and model fit. The best fitting models were compared with those fitted in the UK study. RESULTS: Data from 553 eligible respondents providing 3308 valuations were used for the analysis. Lebanese values were consistently higher than UK values, indicating differences in preferences, and there were no negative values. The random effects model using only main effects was the best performing model. There were inconsistencies in 2 dimensions, thereby consistent models were estimated with values ranging from 0.367 to 1. The results are consistent with the UK results. CONCLUSIONS: This study provides the first population-based value set for SF-6Dv1 health states for Lebanon, making it possible to generate quality-adjusted life-years for cost-utility analysis studies. The potential for applications of a standardized utility measure is enormous both in Lebanon and all Arab countries.

Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China.

With the atypical rise of Mycoplasma pneumoniae infection (MPI) in 2023, prompt studies are needed to determine the current epidemic features and risk factors with emerging trends of MPI to furnish a framework for subsequent investigations. This multicentre, retrospective study was designed to analyse the epidemic patterns of MPI before and after the COVID-19 pandemic, as well as genotypes and the macrolide-resistance-associated mutations in MP sampled from paediatric patients in Southern China. Clinical data was collected from 1,33,674 patients admitted into investigational hospitals from 1 June 2017 to 30 November 2023. Metagenomic next-generation sequencing (mNGS) data were retrieved based on MP sequence positive samples from 299 paediatric patients for macrolide-resistance-associated mutations analysis. Pearson's chi-squared test was used to compare categorical variables between different time frames. The monthly average cases of paediatric common respiratory infection diseases increased without enhanced public health measures after the pandemic, especially for influenza, respiratory syncytial virus infection, and MPI. The contribution of MPI to pneumoniae was similar to that in the outbreak in 2019. Compared to mNGS data between 2019-2022 and 2023, the severity of MP did not grow stronger despite higher rates of macrolide-resistance hypervariable sites, including loci 2063 and 2064, were detected in childhood MP samples of 2023. Our findings indicated that ongoing surveillance is necessary to understand the impact of post pandemic on MP transmission disruption during epidemic season and the severity of clinical outcomes in different scenarios.

Modeling SF-6D Hong Kong standard gamble health state preference data using a nonparametric Bayesian method.

OBJECTIVES: This article reports on the findings from applying a recently described approach to modeling health state valuation data and the impact of the respondent characteristics on health state valuations. The approach applies a nonparametric model to estimate a Bayesian six-dimensional health state short form (derived from short-form 36 health survey) health state valuation algorithm. METHODS: A sample of 197 states defined by the six-dimensional health state short form (derived from short-form 36 health survey)has been valued by a representative sample of the Hong Kong general population by using standard gamble. The article reports the application of the nonparametric model and compares it to the original model estimated by using a conventional parametric random effects model. The two models are compared theoretically and in terms of empirical performance. RESULTS: Advantages of the nonparametric model are that it can be used to predict scores in populations with different distributions of characteristics than observed in the survey sample and that it allows for the impact of respondent characteristics to vary by health state (while ensuring that full health passes through unity). The results suggest an important age effect with sex, having some effect, but the remaining covariates having no discernible effect. CONCLUSIONS: The nonparametric Bayesian model is argued to be more theoretically appropriate than previously used parametric models. Furthermore, it is more flexible to take into account the impact of covariates.

Management of the COVID crisis in Reunion Island (SW Indian Ocean): representations of COVID-19 and acceptance of public health measures.

Context: The coronavirus pandemic (COVID-19) has caused a major health crisis, requiring the implementation of various public health measures in order to slow the spread of the virus and reduce the associated mortality. However, the success of these measures depends on people's acceptance of them. This research aimed at understanding people's representations of COVID-19 and its crisis management, and ultimately at understanding their attitudes toward health measures for counteracting the spread of COVID-19 in Reunion Island together with the behaviours expected of them. Method: Using Random Digit Dialling, a qualitative study was conducted with 53 inhabitants between February and May 2021. The COREQ checklist was followed. A dual textometric and manual thematic analysis was adopted in order to identify representations of COVID and the management of the crisis. Results: Some respondents perceived COVID-19 as a serious disease, while others saw it as a banal virus or even doubted its existence. A perceived ineffectiveness of public health measures and the incompetency of public actors predominated in the participants' discourse. Conclusions: Thus, there was a considerable lack of trust and negative attitudes toward health measures, possibly influencing people's acceptance and explaining numerous controversies. This research examines the importance of considering people's representations of the health situation in order to improve people's acceptance of protective measures.

Exploration of the COVID-19 pandemic at the neighborhood level in an intra-urban setting.

The COVID-19 pandemic represents a worldwide threat to health. Since its onset in 2019, the pandemic has proceeded in different phases, which have been shaped by a complex set of influencing factors, including public health and social measures, the emergence of new virus variants, and seasonality. Understanding the development of COVID-19 incidence and its spatiotemporal patterns at a neighborhood level is crucial for local health authorities to identify high-risk areas and develop tailored mitigation strategies. However, analyses at the neighborhood level are scarce and mostly limited to specific phases of the pandemic. The aim of this study was to explore the development of COVID-19 incidence and spatiotemporal patterns of incidence at a neighborhood scale in an intra-urban setting over several pandemic phases (March 2020-December 2021). We used reported COVID-19 case data from the health department of the district Berlin-Neukölln, Germany, additional socio-demographic data, and text documents and materials on implemented public health and social measures. We examined incidence over time in the context of the measures and other influencing factors, with a particular focus on age groups. We used incidence maps and spatial scan statistics to reveal changing spatiotemporal patterns. Our results show that several factors may have influenced the development of COVID-19 incidence. In particular, the far-reaching measures for contact reduction showed a substantial impact on incidence in Neukölln. We observed several age group-specific effects: school closures had an effect on incidence in the younger population (< 18 years), whereas the start of the vaccination campaign had an impact primarily on incidence among the elderly (> 65 years). The spatial analysis revealed that high-risk areas were heterogeneously distributed across the district. The location of high-risk areas also changed across the pandemic phases. In this study, existing intra-urban studies were supplemented by our investigation of the course of the pandemic and the underlying processes at a small scale over a long period of time. Our findings provide new insights for public health authorities, community planners, and policymakers about the spatiotemporal development of the COVID-19 pandemic at the neighborhood level. These insights are crucial for guiding decision-makers in implementing mitigation strategies.

Overview of dental professionally topical fluoride application in public health measure in Taiwan in 2021.

Background/purpose: In Taiwan, it has been 16 years since the policy of children's dental professionally topical fluoride application (PTFA) services was implemented. This study investigated the differences in the number of children's dental PTFA outpatient visits among cities and counties or different regions of Taiwan in 2021. Materials and methods: The population data and medical records of the number of children's dental PTFA outpatient visits were obtained from the websites of Ministry of the Interior and Ministry of Health and Welfare, respectively. The secondary data were divided by cities and counties to analyze the urban-rural gap and regional differences in the number of children's dental PTFA outpatient visits in Taiwan in 2021. Results: In Taiwan, municipalities had the largest number of dental PTFA visits (721,338, 66.91% of the total dental PTFA visits), while remote and outlying island counties had the smallest number of dental PTFA visits (84,509, 7.84%). The northern region had the largest number of dental PTFA visits (466,728, 43.29%), while outlying islands had the smallest number of dental PTFA visits (25,055, 2.32%). Based on the children aged 3-5 years, municipalities had the lowest dental PTFA use rate (171.70%), while remote and outlying island counties had the highest dental PTFA use rate (482.96%). Conclusion: In Taiwan, there is a higher number of children's dental PTFA outpatient visits in municipalities than in non-municipalities or remote and outlying island counties as well as in northern region than in each of other four regions (central, southern, and eastern regions and outlying islands).

[What is a public health intervention? Results of a Delphi process in German-speaking countries]. / Was wird unter einer Public-Health-Intervention verstanden? Ergebnisse eines Delphi-Prozesses im deutschsprachigen Raum.

BACKGROUND: Internationally, a variety of definitions for public health interventions (PHI) exist. In the German-speaking countries, however, a definition is still outstanding. Therefore, the aim of this study was to derive consensus criteria for the definition of PHI from the expert perspective of science and practice. METHODS: A Delphi survey with two online rounds was conducted from December 2022 to February 2023. Six criteria were formulated by a working group and posed for consensus: 1) the intention of the intervention, 2) potential conflicts of interest of the initiators of the intervention, 3) primary vs. secondary/tertiary prevention, 4) costs, 5) targeting, and 6) the reach of the intervention. In both Delphi rounds, experts from academia and practice were recruited through relevant networks and associations throughout the German-speaking world. The judgments were asked about standardized rating scales with the possibility of open justification. RESULTS: In the first Delphi round, n = 52 and in the second round n = 43 experts from research, care and administration/management in health care participated. Consensus was reached on four of the six criteria after the second Delphi round: the intention of the intervention, possible conflicts of interest of the initiators of the intervention, primary vs. secondary/tertiary prevention, and the scope of the intervention. From the perspective of the experts interviewed, these are the criteria that distinguish PHI. DISCUSSION AND CONCLUSION: Based on the consensus criteria, PHI can be defined more concretely. Thus, the results contribute to a better inter- and transdisciplinary understanding. Ideally, the criteria will make it easier to assign interventions to the public health sector in the future, even if a precise examination will be necessary in individual cases, among other things because the experts disagreed on the criteria of costs and how to address the target group.