Williams, Arthur R.

Objectives Socioeconomic status (SES) is a well-established risk factor for many health outcomes. Recently, we developed an SES measure based on 4 housing-related characteristics (termed HOUSES) and demonstrated its ability to assess health disparities. In this study, we aimed to evaluate whether fewer housing-related characteristics could be used to provide a similar representation of SES. Study setting and participants We performed a cross-sectional study using parents/guardians of children aged 1–17 years from 2 US Midwestern counties (n=728 in Olmsted County, Minnesota, and n=701 in Jackson County, Missouri). Primary and secondary outcome measures For each participant, housing-related characteristics used in the formulation of HOUSES (assessed housing value, square footage, number of bedrooms and number of bathrooms) were obtained from the local government assessor's offices, and additional SES measures and health outcomes with known associations to SES (obesity, low birth weight and smoking exposure) were collected from a telephone survey. Housing characteristics with the greatest contribution for predicting the health outcomes were added to formulate a modified HOUSES index. Results Among the 4 housing characteristics used in the original HOUSES, the strongest contributions for predicting health outcomes were observed from assessed housing value and square footage (combined contribution ranged between 89% and 96%). Based on this observation, these 2 were used to calculate a modified HOUSES index. Correlation between modified HOUSES and other SES measures was comparable to the original HOUSES for both locations. Consistent with the original HOUSES formula, the strongest association with modified HOUSES was observed with smoking exposure (OR=0.24 with 95% CI 0.11 to 0.49 for comparing participants in highest HOUSES vs lowest group; overall p<0.001). Conclusions The modified HOUSES requires only 2 readily available housing characteristics thereby improving the feasibility of using this index as a proxy for SES in multiple communities, especially in the US Midwestern region.

Background Socioeconomic status (SES) is an important determinant of health, but SES measures are frequently unavailable in commonly used datasets. Area-level SES measures are used as proxy measures of individual SES when the individual measures are lacking. Little is known about the agreement between individual-level versus area-level SES measures in mixed urban–rural settings. Methods We identified SES agreement by comparing information from telephone self-reported SES levels and SES calculated from area-level SES measures. We assessed the impact of this agreement on reported associations between SES and rates of childhood obesity, low birth weight <2500 g and smoking within the household in a mixed urban–rural setting. Results 750 households were surveyed with a response rate of 62%: 51% male, 89% Caucasian; mean child age 9.5 years. Individual-level self-reported income was more strongly associated with all three childhood health outcomes compared to area-level SES. We found significant disagreement rates of 22–31%. The weighted Cohen's κ indices ranged from 0.15 to 0.22, suggesting poor agreement between individual-level and area-level measures. Conclusion In a mixed urban–rural setting comprised of both rural and urbanised areas, area-level SES proxy measures significantly disagree with individual SES measures, and have different patterns of association with health outcomes from individual-level SES measures. Area-level SES may be an unsuitable proxy for SES when individual rather than community characteristics are of primary concern.

This cross-sectional study examines the relationship between parenting stress and concerns identified by developmental screening and their effects on parents' decisions to seek medical care for their children. A total of 182 parents completed both the Parenting Stress Index (PSI) and the Parents' Evaluation of Developmental Status (PEDS) when their children were admitted to a sick child care program that provides parents the option of requesting medical evaluations for their children with mild acute illnesses. Although 31.6% of parents (N = 62) requested medical evaluations, neither PSI nor PEDS scores were associated with these requests. However, PEDS scores indicating significant parental concerns about their child's development or behavior predicted clinically significant levels of parenting stress on the PSI (odds ratio 4.9; 95% confidence interval, 1.5-15.9; P = .007). Primary pediatric health care providers who routinely perform developmental screening need to consider this relationship when interpreting developmental screening results and offer supportive and referral services to families as needed.

The reasons underlying parents' decisions to seek medical evaluations for their mildly ill children are not well understood. This cross-sectional study tracked parents' requests for on-site medical evaluations at a sick child care program. A logistic regression model identified factors associated with parents' decisions to seek medical evaluations for their children based on the data from parent-completed questionnaires. A convenience sample of 196 parents completed all questionnaires; 62 (31.6%) parents sought medical evaluations. Parents were more likely to seek medical evaluations if they were concerned about missing work (odds ratio = 8.6; 95% confidence interval, 3.3-22.0; P = .0001), if they smoked (odds ratio = 3.7; 95% confidence interval, 1.1-12.4; P = .037), or if their spouse's highest educational attainment was some high school (odds ratio = 0.4; 95% confidence interval, 0.1-1.0; P = .044). The data highlight the problems working parents have in accessing health care during usual working hours and the potential value of convenient health care programs.

Oncology services have been provided by telemedicine from the University of Kansas Medical Center (KUMC) for almost 10 years. We have analysed the costs associated with providing tele-oncology clinics to a rural Kansas town for two fiscal years, 1995 and 2000. The aim was to compare recent tele-oncology costs with those of the first year of tele-oncology practice. A study conducted in 1995 showed that the average cost was $812 per telemedicine consultation. Data from fiscal year 2000 showed that the average cost was $410 per telemedicine consultation, a decrease of almost 50%. As the tele-oncology practice in Kansas continues to grow, it can be expected that the costs associated with providing tele-oncology services will continue to decline.