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Flexible, ready access to community health assessment data is a feature of innovative Web-based data query systems. An example is VistaPHw, which provides access to Washington state data and statistics used in community health assessment. Because of its flexible analysis options, VistaPHw customizes local, population-based results to be relevant to public health decision-making. The advantages of two innovations, dynamic grouping and the Custom Data Module, are described. Dynamic grouping permits the creation of user-defined aggregations of geographic areas, age groups, race categories, and years. Standard VistaPHw measures such as rates, confidence intervals, and other statistics may then be calculated for the new groups. Dynamic grouping has provided data for major, successful grant proposals, building partnerships with local governments and organizations, and informing program planning for community organizations. The Custom Data Module allows users to prepare virtually any dataset so it may be analyzed in VistaPHw. Uses for this module may include datasets too sensitive to be placed on a Web server or datasets that are not standardized across the state. Limitations and other system needs are also discussed. [ABSTRACT FROM AUTHOR]

Discusses a study which analyzed trends in local hospitalization for childhood asthma during 1987-1998 in King County, Washington. Summary which indicates that the youngest children and the poorest communities have the highest rates of asthma hospitalization; Editorial note from the United States Centers for Disease Control and Prevention.

Gives the data of the number of people injured by the recreational use of snowmobiles in New Hampshire between January 1989 through February 1992. Report examined by the State of New Hampshire Department of Fish and Game (DFG) and the New Hampshire Department of Health and Human Services; Editor's comment on the issue.

Introduction: King County, Washington, fares well overall in many health indicators. However, county-level data mask disparities among subcounty areas. For disparity-focused assessment, a demand exists for examining health data at subcounty levels such as census tracts and King County health reporting areas (HRAs)., Methods: We added a "nearest intersection" question to the Behavioral Risk Factor Surveillance System (BRFSS) and geocoded the data for subcounty geographic areas, including census tracts. To overcome small sample size at the census tract level, we used hierarchical Bayesian models to obtain smoothed estimates in cigarette smoking rates at the census tract and HRA levels. We also used multiple imputation to adjust for missing values in census tracts., Results: Direct estimation of adult smoking rates at the census tract level ranged from 0% to 56% with a median of 10%. The 90% confidence interval (CI) half-width for census tract with nonzero rates ranged from 1 percentage point to 37 percentage points with a median of 13 percentage points. The smoothed-multiple-imputation rates ranged from 5% to 28% with a median of 12%. The 90% CI half-width ranged from 4 percentage points to 13 percentage points with a median of 8 percentage points., Conclusion: The nearest intersection question in the BRFSS provided geocoded data at subcounty levels. The Bayesian model provided estimation with improved precision at the census tract and HRA levels. Multiple imputation can be used to account for missing geographic data. Small-area estimation, which has been used for King County public health programs, has increasingly become a useful tool to meet the demand of presenting data at more granular levels.

Background: The federal menu labeling law will require chain restaurants to post caloric information on menus, but the impact of labeling is uncertain., Purpose: The goal of the current study was to examine the effect of menu labeling on calories purchased, and secondarily, to assess self-reported awareness and use of labels., Design: Single-community pre-post-post cross-sectional study. Data were collected in 2008-2010 and analyzed in 2011-2012., Setting/participants: 50 sites from 10 chain restaurants in King County, Washington, selected through stratified, two-stage cluster random sampling. A total of 7325 customers participated. Eligibility criteria were: being an English speaker, aged ≥ 14 years, and having an itemized receipt. The study population was 59% male, 76% white non-Hispanic, and 53% aged<40 years., Intervention: A regulation requiring chain restaurants to post calorie information on menus or menu boards was implemented., Main Outcome Measures: Mean number of calories purchased., Results: No significant changes occurred between baseline and 4-6 months postregulation. Mean calories per purchase decreased from 908.5 to 870.4 at 18 months post-implementation (38 kcal, 95% CI=-76.9, 0.8, p=0.06) in food chains and from 154.3 to 132.1 (22 kcal, 95% CI=-35.8, -8.5, p=0.002) in coffee chains. Calories decreased in taco and coffee chains, but not in burger and sandwich establishments. They decreased more among women than men in coffee chains. Awareness of labels increased from 18.8% to 61.7% in food chains and from 4.4% to 30.0% in coffee chains (both p<0.001). Among customers seeing calorie information, the proportion using it (about one third) did not change substantially over time. After implementation, food chain customers using information purchased on average fewer calories compared to those seeing but not using (difference=143.2 kcal, p<0.001) and those not seeing (difference=135.5 kcal, p<0.001) such information., Conclusions: Mean calories per purchase decreased 18 months after implementation of menu labeling in some restaurant chains and among women but not men., (Copyright © 2013. Published by Elsevier Inc.)

Background: Community health assessment (CHA) is widely practiced in public health, but its effectiveness has seldom been evaluated., Method: We present three examples of successful CHAs, carried out by Public Health-Seattle & King County, with diverse strategies: a quantitative assessment of asthma hospitalizations; Communities Count, a set of social and health indicators paired with qualitative data; and Growing Up Healthy, an assessment using qualitative methods to provide guidance for a statewide media campaign on youth sexual abstinence., Findings: These assessments were successful in attracting new resources, forming and sustaining new partnerships, and/or providing guidance or resources for program and policy development. They also illustrate the difficulties of evaluating the effects of CHA in at least three ways: untangling its effects from other important community and political factors; documenting outcomes that are distant in time from and indirectly related to the assessment; and cultural or political restrictions on collecting sensitive evaluation data. We suggest common characteristics of an effective assessment, potential effectiveness indicators, and evaluation strategies., Conclusions: Despite barriers to documenting the relative contribution of a CHA, a set of rigorous evaluation methods needs to be developed and tested to document the benefits of a CHA in a competitive funding environment.

Obesity in the United States has been linked to individual income and education. Less is known about its geographic distribution. The goal of this study was to determine whether obesity rates in King County, Washington State, at the ZIP code scale were associated with area-based measures of socioeconomic status and wealth. Data from the Behavioral Risk Factor Surveillance System were analyzed. At the ZIP code scale, crude obesity rates varied six-fold. In a model adjusting for covariates and spatial dependence, property values were the strongest predictor of the area-based smoothed obesity prevalence. Geocoding of health data provides new insights into the nature of social determinants of health. Disparities in obesity rates by ZIP code area were greater than disparities associated with individual income or race/ethnicity.

Aspirin, which has been the mainstay of antiplatelet agent for many decades, affects a single pathway in the platelet activation process and provides incomplete protection against cardiovascular events. Aspirin also may blunt the hemodynamic effect of angiotensin-converting enzyme inhibitors. Dipyridamole may provide some additional benefit, but there is little evidence to suggest its superiority alone or in combination with aspirin compared to standard doses of aspirin. Oral platelet glycoprotein IIb/IIIa inhibitors, although initially promising, have had disappointing results in recent clinical studies. A new class of medications, the thienopyridines, blocks the activity of platelet adenosine 5'-diphosphate (ADP) receptors, thereby reducing platelet activation. This review discusses the pharmacology, clinical studies, and potential uses of these agents, which include ticlopidine and clopidogrel. ADP inhibitors, by blocking an alternate pathway of platelet activation, are slightly more effective than aspirin in reducing cardiovascular events.

In the mid-1990s, several state and county public health departments implemented interactive software systems that provided easy access to public health-related data for local boards of health, other public health agencies, health care providers, community groups, and other interested members of the public. Based on their experiences with two well-established state interactive systems and one well-established county system, the authors summarize lessons that could prove useful to state and local public health agencies interested in developing new interactive systems or adapting existing ones. The article addresses issues such as: basing interactive systems on a broad definition of health, designing systems to incorporate user preferences, moving from data warehouses to information warehouses, and fostering prevention communities. Finally, the article provides recommendations to assist federal, state, and local public health agencies in developing the next generation of interactive data access systems.

Objective: To compare asthma and bronchiolitis hospitalization rates in American Indian and Alaskan native (AI/AN) children and all children in Washington State., Methods: A retrospective data analysis using Washington State hospitalization data for 1987 through 1996. Patients were included if asthma or bronchiolitis was the first-listed diagnosis. American Indian and Alaskan native children were identified by linking state hospitalization data with Indian Health Service enrollment data., Results: Similar rates of asthma hospitalization were found for AI/AN children older than 1 year compared with all children. In AI/AN children younger than 1 year, hospitalization rates for asthma (528 per 100,000 population; 95% confidence interval [CI], 346-761) and bronchiolitis (2954 per 100,000 population; 95% CI, 2501-3456) were 2 to 3 times higher than the rates in all children (232 per 100,000 population [95% CI, 215-251] and 1190 per 100,000 population [95% CI, 1149-1232], respectively). Hospitalization rates for asthma and bronchiolitis increased 50% between 1987 and 1996 for all children younger than 1 year and almost doubled for AI/AN children younger than 1 year., Conclusions: American Indian and Alaskan native children have significantly higher rates of hospitalization for wheezing illnesses during the first year of life compared with children of other age groups and races. Furthermore, the disparities in rates have increased significantly over time. Future public health measures directed at managing asthma and bronchiolitis should target AI/AN infants.

Perchloroethylene (PCE) is a widely used dry cleaning and degreasing solvent. Although there is evidence in animals and humans for renal effects at extremely high doses, there are few studies of its potential renal toxicity at typical occupational concentrations. This study reports on the relationship of PCE in breath and estimates of chronic exposure with the urinary ratios of total urinary protein, albumin, and n-acetyl-glucosaminidase (NAG) to creatinine in dry cleaning workers exposed to PCE. Regression models including one or more exposure variables, demographic variables, mean arterial blood pressure (MAP), and the presence of diseases affecting kidney function were examined. Urine samples, breath samples, exposure histories, and medical histories were obtained from 192 dry cleaning workers. The results failed to demonstrate any consistent relationship between exposure and renal outcome variables. However, protein/creatinine and albumin/creatinine were significantly, although weakly and positively, associated with MAP; NAG/creatinine was weakly but significantly positively associated with age; mean NAG/creatinine was also higher in non-whites. The reasons why an association between exposure and renal outcome was not found are discussed.

Perchloroethylene (Perc), the most widely used solvent in dry cleaning, is toxic to the liver, kidneys, and central nervous system and may be a human carcinogen. In the Detroit area, as part of a project investigating the health status of dry cleaning workers, an exposure assessment was carried out in dry cleaning plants using perchloroethylene. Breath samples were obtained from each participant, and time-weighted average (TWA) breathing zone air samples were obtained using passive dosimeters on a subset expected to experience a range of exposures. Perc in breath and Perc in air were highly correlated (r2 = 0.75, p less than 0.0001). On average, operators of dry cleaning equipment experienced significantly more exposure than nonoperators. Also, employees working in shops that use transfer equipment (requiring physical transfer of Perc-saturated clothing from washers to dryers) showed significantly higher exposure than those in shops utilizing dry-to-dry machinery (permitting washing and drying in one machine in a single cycle). One or more air samples in every transfer shop exceeded the recently revised Occupational Safety and Health Administration (OSHA) permissible exposure limit (PEL) of 25 ppm, while no air samples in dry-to-dry shops exceeded this limit. The results suggest concern for exposures to operators in transfer shops and that compliance with the PEL is achievable by engineering controls with presently existing technology.