Validating the eHealth Literacy Scale in Rural Adolescents.

PURPOSE: Given that the recent eHealth literacy literature supports the properties of the 3-factor eHealth literacy scale (eHEALS) model in samples with millennials, adults, and older adults, the appropriate next step is to establish whether the model can be reproduced in a rural adolescent sample. The purpose of this study was to evaluate the recent 3-factor model by Paige and associates with a sample of seventh-grade students. METHODS: This cross-sectional study included a subsample of students (n = 146) from 3 school districts in Appalachian Kentucky. We used confirmatory factor analysis (CFA) procedures and small sample model fit guidelines to evaluate our model, and the 1-sample bootstrap algorithm with bias-corrected and accelerated 95% confidence intervals to estimate associations among eHEALS and health and technology variables. FINDINGS: A total of 137 students, or 61% of enrolled seventh-grade students, completed the study. CFA results showed eHEALS 3-factor loadings-information awareness, information seeking, and information engagement-were high (≥0.63) and statistically significant. We observed evidence of a good model fit (root mean square error of approximation [RMSEA] = 0.07, standardized root mean square residual [SRMR] = 0.03, comparative fit index [CFI] = 0.99) and results are comparable with Paige and associates' model fit (RMSEA = 0.06, SRMR = 0.08, CFI = 0.98). Correlations showed that students with more access to technology were associated with higher information seeking (r = 0.31) and higher information engagement (r = 0.23). eHealth literacy scores did not differ by level of rurality or gender. CONCLUSIONS: The 3-factor eHEALS is a reliable and valid instrument in assessing eHealth literacy in a group of rural seventh graders from Appalachian Kentucky.

A case-control study of trace-element status and lung cancer in Appalachian Kentucky.

Appalachian Kentucky (App KY) leads the nation in lung cancer incidence and mortality. Trace elements, such as As, have been associated with lung cancers in other regions of the country and we hypothesized that a population-based study would reveal higher trace element concentrations in App KY individuals with cancer compared to controls. Using toenail and drinking water trace element concentrations, this study investigated a possible association between lung cancer incidence and trace-element exposure in residents of this region. This population-based case-control study had 520 subjects, and 367 subjects provided toenail samples. Additionally, we explored the relationship between toenail and fingernail trace-element concentrations to determine if fingernails could be used as a surrogate for toenails when patients are unable to provide toenail samples. We found that, contrary to our initial hypothesis, trace element concentrations (Al, As, Cr, Mn, Co, Fe, Ni, Cu, Se, and Pb) were not higher in cancer cases than controls with the exception of Zn where concentrations were slightly higher in cases. In fact, univariate logistic regression models showed that individuals with lower concentrations of several elements (Al, Mn, Cr, and Se) were more likely to have lung cancer, although only Mn was significant in multivariate models which controlled for confounding factors. While drinking water concentrations of Al, Cr and Co were positively related to cancer incidence in univariate models, only Co remained significant in multivariate models. However, since the drinking water concentrations were extremely low and not reflected in the toenail concentrations, the significance of this finding is unclear. We also found that fingernail concentrations were not consistently predictive of toenail concentrations, indicating that fingernails should not be used as surrogates for toenails in future studies.

Reducing 30-day readmission rates in a high-risk population using a lay-health worker model in Appalachia Kentucky.

This exploratory study aimed to address the effectiveness of a lay-health worker (LHW) model in addressing social needs and readmissions of high-risk patients admitted in a rural community hospital. A quasi-experimental study design assessed implementation of a LHW model for assisting high-risk patients with their post-discharge social needs. Outcome measures included 30-day hospital readmissions rates during a 4-month baseline period compared with a 6-month post-implementation period. The LHW intervention involved assessment and development of a personalized social needs plan for enrolled patients (e.g. transportation and community resource identification), with post-discharge follow-up calls. There was a 47.7% relative reduction of 30-day hospital readmissions rates between baseline and intervention phases of the study. Simple regression analyses demonstrated a 56% decrease in odds (90% confidence interval 0.20-0.98) in being readmitted within 30-days among those in the intervention phase compared with those in the baseline phase. Once adjusting for education, transportation cost and anxiety symptoms, there was a 77% decrease in odds among those exposed to the LHW program. LHWs offer an effective hospital-based model to improve transitions in care from the hospital setting, especially those at high-risk with persistent social needs.

Kentucky Homeplace Defeat Diabetes Screening Test: an analysis of rural Kentucky's challenge to overcome the growing diabetes epidemic.

The University of Kentucky Center for Rural Health original research note, "Kentucky Homeplace Defeat Diabetes Screening Test: An Analysis of Rural Kentucky's Challenge to Overcome the Growing Diabetes Epidemic," provides the results of a yearlong diabetes risk survey that included more than 3,000 participants in rural Kentucky. It is well known that diabetes poses serious health threats across our country. For various reasons, that is especially true in Kentucky, with rural Kentucky having the highest prevalence for the disease. From September 2002 through August 2003, lay health workers with the nationally recognized Kentucky Homeplace program distributed and processed 3,092 diabetes self-test surveys to their clients across five regions of the state to get a better picture of the diabetes epidemic. The screening test was developed as an educational and public awareness tool by the Defeat Diabetes Foundation Inc, a nonprofit organization based in Madeira Beach, FL. It was distributed to various health agencies across the country. Each survey contained 16 questions, ranging from determining participants' urinary frequency and family medical history to their age and weight. Zero, five, or 10 points were allotted depending on respondents' degree of incidence for each question. A score of 0-15 points suggested a low risk for having diabetes, 20-25 points suggested that a respondent was at medium risk and should be tested for the disease, and a score of 30 points or higher suggested that he/she was at very high risk and "should seek (a) medical evaluation right away." Several months of analysis of the data collected indicated that 74.6% of the Kentucky Homeplace clients who participated in the survey were at moderate to significant risk of having or developing diabetes, a much higher rate than the approximately 50% of Kentucky adults in the general population that previous studies indicated were at risk. While findings from the survey of more than 3,000 Kentucky Homeplace clients cannot be generalized to Kentucky's population as a whole, they further confirm other evidence indicating that diabetes will continue to be one of the most serious health threats facing the state's rural populations. The research note further offered some recommendations for curbing rural Kentucky's diabetes epidemic, including increasing the number of certified diabetes educators serving rural Kentucky, expanding lay health worker programs within the rural portions of the Commonwealth, and studying the method and effectiveness of diabetes education between physicians and patients.