Taking it to scale: evaluating the scope and reach of a community-wide initiative on early childhood

In implementing broad community initiatives, the ability to assess the delivery of services is a distinct challenge. Yet, understanding both the magnitude and cross-usage of services by target populations is often a precursor to effective program evaluation, program improvement and additional program planning. This research examines the extent to which a comprehensive early childhood initiative successfully reached young children and their families in a large urban county. By linking birth records and administrative datasets at the level of the individual child, the study tracks the experiences of children in respect to engagement in program services and their receipt of public benefits. The study shows both the rapid growth in programs and the reach of the program elements to the majority of newborns in the target county after 5.5 years. The research highlights the challenges of effectively using individual-level data from a variety of sources for the purposes of documenting program receipt by participants.     

Capacity-building needs of minority health nonprofits

This article reports on the results of a statewide assessment of the capacity-building needs of organizations that provide health services to ethnic minority groups in Ohio. The research addressed gaps in knowledge about the specific needs of these organizations for improved effectiveness and long-term sustainability. A telephone survey of 659 organizations, supplemented by focus groups with 37 participants in the state's largest cities, indicated substantial need and interest in capacity-building technical assistance in areas such as revenue-generating activities, marketing and public relations, information technology training, program evaluation, and board leadership development. The limited ability of these organizations to pay for the needed assistance creates challenges for planning approaches to meet these vital needs.     

Food Safety in the Domestic Environment: An Interdisciplinary Investigation of Microbial Hazards During Food Preparation

It has been established that, to a considerable extent, the domestic hygiene practices adopted by consumers can result in a greater or lesser microbial load in prepared meals. In the research presented here, an interdisciplinary study is reported in which interviews, observations of consumers preparing a recipe, and microbial contamination of the finished meals were compared. The results suggest that, while most consumers are knowledgeable about the importance of cross-contamination and heating in preventing the occurrence of foodborne illness, this knowledge is not necessarily translated into behavior. The adoption of habitual cooking practices may also be important. Potentially risky behaviors were, indeed, observed in the domestic food preparation environment. Eighteen of the participants made errors in food preparation that could potentially result in cross-contamination, and seven participants allowed raw meat juices to come in contact with the final meal. Using a tracer microorganism the log reduction as a result of consumer preparation was estimated at an average of log 4.1 cfu/salad. When combining these findings, it was found that cross-contamination errors were a good predictor for log reduction. Procedural food safety knowledge (i.e., knowledge proffered after general open questions) was a better predictor of efficacious bacterial reduction than declarative food safety knowledge (i.e., knowledge proffered after formal questioning). This suggests that motivation to prepare safe food was a better indicator of actual behavior than knowledge about food safety per se.     

Hurricane Destructive Power Predictions Based on Historical Storm and Sea Surface Temperature Data

Forecasting destructive hurricane potential is complicated by substantial, unexplained intraannual variation in storm-specific power dissipation index (PDI, or integrated third power of wind speed), and interannual variation in annual accumulated PDI (APDI). A growing controversy concerns the recent hypothesis that the clearly positive trend in North Atlantic Ocean (NAO) sea surface temperature (SST) since 1970 explains increased hurricane intensities over this period, and so implies ominous PDI and APDI growth as global warming continues. To test this "SST hypothesis" and examine its quantitative implications, a combination of statistical and probabilistic methods were applied to National Hurricane Center HURDAT best-track data on NAO hurricanes during 1880-2002, and corresponding National Oceanographic and Atmospheric Administration Extended Reconstruction SST estimates. Notably, hurricane behavior was compared to corresponding hurricane-specific (i.e., spatiotemporally linked) SST; previous similar comparisons considered only SST averaged over large NAO regions. Contrary to the SST hypothesis, SST was found to vary in a monthly pattern inconsistent with that of corresponding PDI, and to be at best weakly associated with PDI or APDI despite strong correlation with corresponding mean latitude (R(2)= 0.55) or with combined mean location and a approximately 90-year periodic trend (R(2)= 0.70). Over the last century, the lower 75% of APDIs appear randomly sampled from a nearly uniform distribution, and the upper 25% of APDIs from a nearly lognormal distribution. From the latter distribution, a baseline (SST-independent) stochastic model was derived predicting that over the next half century, APDI will not likely exceed its maximum value over the last half century by more than a factor of 1.5. This factor increased to 2 using a baseline model modified to assume SST-dependence conditioned on an upper bound of the increasing NAO SST trend observed since 1970. An additional model was developed that predicts PDI statistics conditional on APDI. These PDI and APDI models can be used to estimate upper bounds on indices of hurricane power likely to be realized over the next century, under divergent assumptions regarding SST influence.     

Gender and the residential telephone, 1890–1940: Technologies of sociability

Recent work on gender and technology debunks the claim that household technologies have liberated women from domestic work. The history of telephone use in North America suggests, however, that global conclusions about gender and consumer technologies may be misleading. Although marketed primarily as a business instrument and secondarily as an instrument to facilitate housework, the telephone was, in a sense, appropriated by women for social and personal ends. This paper explores the affinity of women for the telephone, how women in the half-century before World War II used the telephone, and why. It suggests that there is a class of technologies that women have exploited for their own, gender-linked, social and personal ends.     

流浪青少年的自我认知和他人认知研究

人们用典型的临床问题以及标准问卷调查来评估流浪青少年的心理健康问题、受害经历和使用毒品的情况。这些流浪青少年也被问及他们认为的主要问题。结果显示。那些和健康有关的问题。如曾经的受害情况、高毒品使用率、心理问题等，并不被他们当作问题看待。另外，根据一项采访的反馈，流浪青少年表示他们几乎很少寻求心理专家的帮助．常常是用各种其他方式来对待问题。尽管流浪青少年不愿使用上述服务。但很多流浪青少年表示他们愿意和顾问探讨自知问题，自我认知和他人认知两者之间也有共同点。     

Implications of population growth and urbanization on agricultural risks in China

Growing population, rapid urbanization, rising incomes, and changing consumption preferences stimulate intensification of livestock production and excessive fertilization of crops in China. We present an innovative approach that sheds light on options to prevent negative environmental consequences of food production. Trends indicate that agricultural production expansion will take place in “profitable” locations around densely populated areas, where there are generally insufficient natural resources to recycle production wastes. This will likely lead to increased environmental impacts and risks to human health, with the largest impacts in close proximity to population hotspots. We identify trends in Chinese agricultural production and devise and compare feasible mitigation scenarios. We present a spatial allocation procedure that facilitates management of agricultural production expansion, accounting for environmental and health constraints. This procedure, based on behavioral principles, uses a spatial risk preference structure induced by local conditions, including environment, production, and demand, with important research and policy implications.