The Drug Facts Box: Improving the Communication of Prescription Drug Information

Communication about prescription drugs ought to be a paragon of public science communication. Unfortunately, it is not. Consumers see $4 billion of direct-to-consumer advertising annually, which typically fails to present data about how well drugs work. The professional label—the Food and Drug Administration\u27s (FDA) mechanism to get physicians information needed for appropriate prescribing—may also fail to present benefit data. FDA labeling guidance, in fact, suggests that industry omit ben

Cost of saving natural gas through efficiency programs funded by utility customers: 2012–2017

This study estimates the cost of saving a therm of natural gas from energy efficiency programs funded by utility customers during the period 2012 to 2017. Berkeley Lab researchers compiled and analyzed efficiency program data reported by investor-owned utilities and other program administrators in a dozen states representative of the four U.S. Census regions — Arkansas, California, Connecticut, Iowa, Massachusetts, Michigan, Minnesota, New Jersey, New York, Oklahoma, Rhode Island and Utah. Depending on the year, the dataset accounts for about 50 percent to 70 percent of annual national spending on natural gas efficiency programs. The estimated cost of saving natural gas during the study period is $0.40 per therm. The analysis also includes estimates of the program administrator cost of saved energy for three core sectors for natural gas: commercial and industrial, residential, and low-income households. It aggregates these sectors to provide regional and national values. Our metrics include savings-weighted averages, unweighted medians, and interquartile ranges (25th and 75th percentiles) of the levelized program administrator cost of saving gas, in constant 2017 dollars. In addition, the study analyzes cost trends during the study period, finding that average program costs trended downward. The U.S. Department of Energy’s Building Technologies Office supported this work

Applying Non-Energy Impacts from Other Jurisdictions in Cost-Benefit Analyses of Energy Efficiency Programs: Resources for States for Utility Customer-Funded Programs

Avoided energy and capacity costs are the primary yardstick utilities use to determine which energy efficiency programs are cost-effective for their customers. But sometimes "non-energy impacts" — not commonly recognized as directly associated with energy generation, transmission and distribution — represent substantial benefits, such as improving comfort, air quality and public health.Considering whether and how to include non-energy impacts is an important part of cost-benefit analyses for these programs. This report offers practical considerations for deciding which non-energy impacts to include and how to apply values or methods from other jurisdictions.Researchers reviewed studies quantifying non-energy impacts used in 30 states and applied a five-point system to indicate transferability of a value or method from each study for 16 categories of non-energy impacts:Water resource costs and benefitsOther fuels costs and benefitsAvoided environmental compliance costsEnvironmental impactsProductivityHealth and safety Asset valueEnergy and/or capacity price suppression effectsAvoided costs of compliance with Renewable Portfolio Standard requirementsAvoided credit and collection costsAvoided ancillary servicesComfortEconomic development and job impactsPublic health impactsEnergy security impactsIncreased reliabilityThe U.S. Department of Energy’s Building Technologies Office supported this work

Giving Legs to Restless Legs: A Case Study of How the Media Helps Make People Sick

To get a sense of how the media works in the context of a major disease promotion effort, the authors examined news coverage of restless leg syndrome

Influence of medical journal press releases on the quality of associated newspaper coverage: retrospective cohort study

Objective To determine whether the quality of press releases issued by medical journals can influence the quality of associated newspaper stories

Cost of Saving Electricity Through Efficiency Programs Funded by Customers of Publicly Owned Utilities: 2012–2017

This report finds that energy efficiency programs for customers of publicly owned utilities saved electricity at an average cost of 2.4 cents per kilowatt-hour (kWh) from 2012 to 2017. Utilities use such cost performance metrics to assess effectiveness of efficiency program portfolios, determine what programs to offer customers, and, more broadly, ensure electricity system reliability at the most affordable cost as part of electric utility resource adequacy planning and resource procurement processes. The study analyzed efficiency program data reported by 111 program administrators for 219 publicly owned utilities in 14 states — about 90 percent of the municipal utilities and public utility districts that report the data to the Energy Information Administration (EIA). The data represent 88 percent of all spending and 75 percent of all savings that publicly owned utilities reported to EIA in those years. Berkeley Lab used data from several sources, including data provided directly by American Public Power Association members, publicly available annual reports and regional data collections

United Kingdom newsprint media reporting on sexual health and blood-borne viruses in 2010

Background: Improving sexual health and blood-borne virus (BBV) outcomes continue to be of high priority within the United Kingdom (UK) and it is evident that the media can and do impact the public health agenda. This paper presents the first large-scale exploration of UK national newsprint media representations of sexual health and BBVs. Methods: Using keyword searches in electronic databases, 677 articles published during 2010 were identified from 12 national (UK-wide and Scottish) newspapers. Content analysis was used to identify manifest content and to examine the tone of articles. Results: Although there was a mixed picture overall in terms of tone, negatively toned articles, which focussed on failures or blame, were common, particularly within HIV/AIDS, hepatitis B and C, and other sexually transmissible infection coverage (41% were assessed as containing negative content; 46% had negative headlines). Differences were found by newspaper genre, with ‘serious’ newspaper articles appearing more positive and informative than ‘midmarket’ newspapers or ‘tabloids’. Across the sample, particular individuals, behaviours and risk groups were focussed on, not always accurately, and there was little mention of deprivation and inequalities (9%). A gender imbalance was evident, particularly within reproductive health articles (71% focussed on women; 23% on men), raising questions concerning gender stereotyping. Conclusions: There is a need to challenge the role that media messages have in the reinforcement of a negative culture around sexual health in the UK and for a strong collective advocacy voice to ensure that future media coverage is positively portrayed

A new approach to generating research-quality data through citizen science: The USA National Phenology Monitoring System

Phenology is one of the most sensitive biological responses to climate change, and recent changes in phenology have the potential to shake up ecosystems. In some cases, it appears they already are. Thus, for ecological reasons it is critical that we improve our understanding of species’ phenologies and how these phenologies are responding to recent, rapid climate change. Phenological events like flowering and bird migrations are easy to observe, culturally important, and, at a fundamental level, naturally inspire human curiosity— thus providing an excellent opportunity to engage citizen scientists. The USA National Phenology Network has recently initiated a national effort to encourage people at different levels of expertise—from backyard naturalists to professional scientists—to observe phenological events and contribute to a national database that will be used to greatly improve our understanding of spatio-temporal variation in phenology and associated phenological responses to climate change.

Traditional phenological observation protocols identify specific dates at which individual phenological events are observed. The scientific usefulness of long-term phenological observations could be improved with a more carefully structured protocol. At the USA-NPN we have developed a new approach that directs observers to record each day that they observe an individual plant, and to assess and report the state of specific life stages (or phenophases) as occurring or not occurring on that plant for each observation date. Evaluation is phrased in terms of simple, easy-to-understand, questions (e.g. “Do you see open flowers?”), which makes it very appropriate for a citizen science audience. From this method, a rich dataset of phenological metrics can be extracted, including the duration of a phenophase (e.g. open flowers), the beginning and end points of a phenophase (e.g. traditional phenological events such as first flower and last flower), multiple distinct occurrences of phenophases within a single growing season (e.g multiple flowering events, common in drought-prone regions), as well as quantification of sampling frequency and observational uncertainties. These features greatly enhance the utility of the resulting data for statistical analyses addressing questions such as how phenological events vary in time and space, and in response to global change. This new protocol is an important step forward, and its widespread adoption will increase the scientific value of data collected by citizen scientists.
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The analysis of bridging constructs with hierarchical clustering methods: An application to identity

When analyzing psychometric surveys, some design and sample size limitations challenge existing approaches. Hierarchical clustering, with its graphics (heat maps, dendrograms, means plots), provides a nonparametric method for analyzing factorially-designed survey data, and small samples data. In the present study, we demonstrated the advantages of using hierarchical clustering (HC) for the analysis of non-higher-order measures, comparing the results of HC against those of exploratory factor analysis. As a factorially-designed survey, we used the Identity Labels and Life Contexts Questionnaire (ILLCQ), a novel measure to assess identity as a bridging construct for the intersection of identity domains and life contexts. Results suggest that, when used to validate factorially-designed measures, HC and its graphics are more stable and consistent compared to EFA