Acceptance of criteria for health and driver scoring in the general public in Germany.
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ABSTRACT:
SUBMITTER: Rebitschek FG
PROVIDER: S-EPMC8062065 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BACKGROUND:Blood transfusions save lives, but carry the risk of causing transfusion-transmitted diseases. This risk is limited by strict donor selection criteria, the most controversial being the exclusion of men who had sex with men (MSM). This cross-sectional study investigated knowledge and beliefs of the general public concerning donor exclusion criteria, with emphasis on MSM. MATERIALS AND METHODS:A representative sample of the population of Flanders, Belgium was questioned using a web-based questionnaire. The effect of additional information on people's opinions was tested. RESULTS:People were less aware of the exclusion of MSM than of other risk populations, e.g. prostitutes. Correspondingly, they were more willing to accept blood from MSM than from other risk populations. MSM were also considered appropriate donors. Interestingly, prior knowledge about the exclusion of MSM appeared to be the strongest predictor for not accepting blood from MSM or a more stringent attitude on MSM exclusion. Receiving information on reasons for exclusion shifted opinions towards more stringency. Nevertheless, most people think that exceptions for MSM should be made under certain circumstances. This study identified several demographic factors associated with opinions concerning the exclusion of MSM for blood donation and the potential to change opinions after receiving information, e.g. age or socio-economic status. DISCUSSION:Blood collecting services can gain understanding from the general public about their exclusion policies by providing clear information. Communication efforts targeting specific audiences in function of their knowledge and likeliness to change their opinion, might improve the effectiveness of information campaigns.
| S-EPMC6214823 | biostudies-other
Project description:BACKGROUND:Health checks or health screenings identify (risk factors for) disease in people without a specific medical indication. So far, the perspective of (potential) health check users has remained underexposed in discussions about the ethics and regulation of health checks. METHODS:In 2017, we conducted a qualitative study with lay people from the Netherlands (four focus groups). We asked what participants consider characteristics of good and bad health checks, and whether they saw a role for the Dutch government. RESULTS:Participants consider a good predictive value the most important characteristic of a good health check. Information before, during and after the test, knowledgeable and reliable providers, tests for treatable (risk factors for) disease, respect for privacy, no unnecessary health risks and accessibility are also mentioned as criteria for good health checks. Participants make many assumptions about health check offers. They assume health checks provide certainty about the presence or absence of disease, that health checks offer opportunities for health benefits and that the privacy of health check data is guaranteed. In their choice for provider and test they tend to rely more on heuristics than information. Participants trust physicians to put the interest of potential health check users first and expect the Dutch government to intervene if providers other than physicians failed to do so by offering tests with a low predictive value, or tests that may harm people, or by infringing the privacy of users. CONCLUSIONS:Assumptions of participants are not always justified, but they may influence the choice to participate. This is problematic because choices for checks with a low predictive value that do not provide health benefits may create uncertainty and may cause harm to health; an outcome diametrically opposite to the one intended. Also, this may impair the relationship of trust with physicians and the Dutch government. To further and protect autonomous choice and to maintain trust, we recommend the following measures to timely adjust false expectations: advertisements that give an accurate impression of health check offers, and the installation of a quality mark.
| S-EPMC6013874 | biostudies-literature
Project description: Not available
| S-EPMC2687032 | biostudies-literature
Project description:Global change calls for more active approaches to forest risk management. To avoid unforeseen backlashes, it is necessary to examine the general public's acceptance of the risk management strategies. By drawing on different theoretical approaches (threat and prevention, performance evaluations, and forest cognitions), the present study examines predictors of acceptability in the general public in three counties in Sweden (N = 1,026). As expected, appraisals of threat mediated the effect of threat awareness on belief in risk prevention, and when examining performance evaluations, trust in responsible actors influenced acceptability via procedural satisfaction. However, the threat and prevention approach and the performance evaluation approach only explained low levels of the variance in acceptability of the examined strategies. Nevertheless, stronger ecological forest values, and favoring broadleaved forests, were found to be important to the acceptability of proactively implementing a more diverse forest to meet the expected challenges associated with global climate change.
| S-EPMC5758928 | biostudies-other
Project description:STUDY OBJECTIVES:Apnea-hypopnea index (AHI) is the main polysomnographic measure to diagnose obstructive sleep apnea (OSA). We aimed to evaluate the effect of three standard hypopnea definitions on the prevalence of OSA and its association with cardiometabolic outcomes in the general population. METHODS:We analyzed data from the HypnoLaus study (Lausanne, Switzerland), in which 2,162 participants (51% women, 57 ± 19 years) underwent in-home full polysomnography. AHI was calculated using three hypopnea definitions: AASM1999 (≥ 50% decrease in airflow or lower airflow reduction associated with oxygen desaturation ≥ 3% or an arousal), AASM2007 (≥ 30% airflow reduction associated with ≥ 4% oxygen desaturation), and AASM2012 (≥ 30% airflow reduction associated with ≥ 3% oxygen desaturation or an arousal). Participants underwent clinical assessment for hypertension, diabetes, and metabolic syndrome. RESULTS:Median AHI of AASM1999, AASM2007 and AASM2012 criteria were 10.9, 4.4, and 10.1 events/h, respectively. OSA prevalence defined as AHI ≥ 5, ≥ 15, and ≥ 30 events/h was 74.5%, 39.3%, and 16.3% using AASM1999; 46.9%, 18.8%, and 6.8% using AASM2007; and 72.2%, 36.6%, and 14.9% using AASM2012. Different AHI thresholds derived from AASM1999, AASM2007, and AASM2012 criteria, respectively, were associated with hypertension (11.5, 4.8, 10.7 events/h), diabetes (15.7, 7.1, 14.4 events/h), and metabolic syndrome (12.8, 5.5, 11.8 events/h). CONCLUSIONS:Hypopnea definition has a major effect on AHI and on OSA prevalence in the general population and, hence, important implications for public health policies. There is a twofold difference in the threshold above which an association with diabetes, hypertension, and metabolic syndrome is observed using AASM2007 compared to AASM1999 or AASM2012 criteria.
| S-EPMC6374086 | biostudies-literature
Project description:ObjectivesPublic health accreditation is a 7-step process that starts with a period of preapplication during which a health department assesses its readiness for accreditation. However, no tools with established reliability and validity that quantitatively measure a local health department's (LHD's) capacity for accreditation are available to complete this initial step. We developed and validated a survey to measure accreditation capacity for LHDs.MethodsFrom January through April 2015, we administered a cross-sectional electronic survey instrument with 15 questions that tapped into domains of capacity for public health accreditation. We analyzed and grouped responses by using a confirmatory maximum likelihood factor analysis with oblique rotations. We assessed reliability by using Cronbach α, and we assessed validity by comparing responses with previously established instruments. We administered the survey to 174 LHD directors in Colorado, Kansas, and Nebraska, 153 (88%) of whom responded.ResultsThe factor analysis produced a 3-factor model of accreditation capacity, suggesting that accreditation capacity depends on 3 distinct latent constructs: support for accreditation, preparation, and planning and approach. The model had good scale reliability (average Cronbach α = 0.7) and validity (average factor correlation = 0.43).ConclusionsThe survey developed and scored in this analysis can be used by LHDs to inform the feasibility of initiating the time-intensive and costly process of accreditation.
| S-EPMC7119249 | biostudies-literature
Project description:Because serum magnesium does not reflect intracellular magnesium, the latter making up more than 99% of total body magnesium, most cases of magnesium deficiency are undiagnosed. Furthermore, because of chronic diseases, medications, decreases in food crop magnesium contents, and the availability of refined and processed foods, the vast majority of people in modern societies are at risk for magnesium deficiency. Certain individuals will need to supplement with magnesium in order to prevent suboptimal magnesium deficiency, especially if trying to obtain an optimal magnesium status to prevent chronic disease. Subclinical magnesium deficiency increases the risk of numerous types of cardiovascular disease, costs nations around the world an incalculable amount of healthcare costs and suffering, and should be considered a public health crisis. That an easy, cost-effective strategy exists to prevent and treat subclinical magnesium deficiency should provide an urgent call to action.
| S-EPMC5786912 | biostudies-other
Project description:BackgroundResearch priority setting (RPS) studies are necessary to close the significant gap between the scientific evidence produced and the evidence stakeholders need. Their findings can make resource allocation in research more efficient. However, no general framework for conducting an RPS study among public health stakeholders exists. RPS studies in public health are rare and no such study has been previously conducted and published in Germany. Therefore, we aimed to investigate which research topics in public health are prioritised by relevant stakeholders in Germany.MethodsOur RPS study consisted of a scoping stage and a Delphi stage each split into two rounds. Firstly, we invited members of the German Public Health Association to gather expert insights during two initial workshops. Next, we defined the relevant stakeholder groups and recruited respondents. Thereafter, we collected research topics and assessment criteria with the respondents in the first Delphi round and aggregated the responses through content analysis. Finally, we asked the respondents to rate the research topics with the assessment criteria in the second Delphi round.ResultsIn total, 94 out of the 140 invited public health organisations nominated 230 respondents for the Delphi study of whom almost 90% participated in both Delphi rounds. We compiled a comprehensive list of 76 research topics that were rated and ranked by several assessment criteria. We split the research topics into two types, substantive research topics and methodological-theoretical research topics respectively, to ensure the comparability among the research topics. In both types of research topics-substantive research topics and methodological-theoretical research topics-the respective top five ranked research topics hardly differed between public health researchers and public health practitioners. However, clear differences exist in the priority ranking of many (non-top priority) research topics between the stakeholder groups.ConclusionsThis research demonstrates that it is possible, with limited resources, to prioritise research topics for public health at the national level involving a wide range of pertinent stakeholders. The results can be used by research funding institutions to initiate calls for research projects with an increased relevance for health and/or scientific progress.
| S-EPMC10463880 | biostudies-literature
Project description:BackgroundPublic health actors contribute significantly to health protection, promotion, and prevention at the population level. An overview of the public health landscape can facilitate collaboration among the stakeholders and increase transparency of career paths for young professionals.ObjectivesThis study aims to develop an overview and category system of supra-regional public health actors in Germany.MethodsBased on a list of institutional actors that participated in the national conference Future Forum Public Health ("Zukunftsforum Public Health") and a targeted online search by the authors, supra-regional institutions and organizations with a public health focus were identified. All actors were screened independently by ≥ 2 authors. Community-level actors as well as those without a direct public health focus were excluded. Additional actors were identified via a snowballing process. In order to cluster the actors thematically, a category system was formed inductively.ResultsOut of a total of 645 screened actors, 307 (47.6%) were included and subsequently assigned to 12 main and 30 subcategories. Professional associations (n = 60) made up the largest category, followed by civil society (n = 49) and state actors (n = 40). In addition to a tabular and graphical overview, an interactive visualization of the actors was created ( www.noeg.org ).ConclusionsThis study provides a comprehensive overview of supra-regional institutional public health actors in Germany and highlights the breadth of the German public health landscape. The results of this work offer new opportunities for collaboration and can support young professionals in their career paths. Building on this work, further research on public health actors is recommended.
| S-EPMC8641290 | biostudies-literature
Project description:Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have been developed for learning epistatic relationships from data. A well-known combinatorial method that has been successfully applied for detecting epistasis is Multifactor Dimensionality Reduction (MDR). Jiang et al. created a combinatorial epistasis learning method called BNMBL to learn Bayesian network (BN) epistatic models. They compared BNMBL to MDR using simulated data sets. Each of these data sets was generated from a model that associates two SNPs with a disease and includes 18 unrelated SNPs. For each data set, BNMBL and MDR were used to score all 2-SNP models, and BNMBL learned significantly more correct models. In real data sets, we ordinarily do not know the number of SNPs that influence phenotype. BNMBL may not perform as well if we also scored models containing more than two SNPs. Furthermore, a number of other BN scoring criteria have been developed. They may detect epistatic interactions even better than BNMBL.Although BNs are a promising tool for learning epistatic relationships from data, we cannot confidently use them in this domain until we determine which scoring criteria work best or even well when we try learning the correct model without knowledge of the number of SNPs in that model.We evaluated the performance of 22 BN scoring criteria using 28,000 simulated data sets and a real Alzheimer's GWAS data set. Our results were surprising in that the Bayesian scoring criterion with large values of a hyperparameter called ? performed best. This score performed better than other BN scoring criteria and MDR at recall using simulated data sets, at detecting the hardest-to-detect models using simulated data sets, and at substantiating previous results using the real Alzheimer's data set.We conclude that representing epistatic interactions using BN models and scoring them using a BN scoring criterion holds promise for identifying epistatic genetic variants in data. In particular, the Bayesian scoring criterion with large values of a hyperparameter ? appears more promising than a number of alternatives.
| S-EPMC3080825 | biostudies-other