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Composite development indices show an exponential movement of major economic indicators to identify and predict the overall trend of the national economy. However, the existing method of writing composite development indices is based on simple statistical methods using macroscopic data. Therefore, it presents limitations when grasping regional economic trends late. It is because the time of announcement of composite development indices is concentrated at the end of each month, quarter, and year. This study used the floating population estimated from smartphone data that can be collected in real-time to analyze how floating population patterns affect regional economic situations to compensate for these limitations. The primary purpose was to present a prompt development prediction methodology that reflects this meaningful relationship. A correlation and cross-correlation analysis was performed to exhibit a clear relationship between composite development indices and floating population value. In addition, a time series model and a multiple regression model analyses were applied to predict regional development indices. The results obtained facilitated the prompt selection of regional composite indices after choosing a model that exhibits high prediction accuracy and efficiency of the application. The selected regional development composite indices are expected to be used as a faster and more reliable prediction criterion than the existing development composite indices used to predict a specific city’s economic situation.

Background: Health technologies have the potential to support the growing number of older adults who are aging in place. Many tools include visualizations (data visualizations, visualizations of physical representations). However, the role of visualizations in supporting aging in place remains largely unexplored. Objective: To synthesize and identify gaps in the literature evaluating visualizations (data visualizations and visualizations of physical representations), for informatics tools to support healthy aging. Methods: We conducted a search in CINAHL, Embase, Engineering Village, PsycINFO, PubMed, and Web of Science using a priori defined terms for publications in English describing community-based studies evaluating visualizations used by adults aged ≥65 years. Results: Six out of the identified 251 publications were eligible. Most studies were user studies and varied methodological quality. Three visualizations of virtual representations supported performing at-home exercises. Participants found visual representations either (a) helpful, motivational, and supported their understanding of their health behaviors or (b) not an improvement over alternatives. Three data visualizations supported understanding of one’s health. Participants were able to interpret data visualizations that used precise data and encodings that were more concrete better than those that did not provide precision or were abstract. Participants found data visualizations helpful in understanding their overall health and granular data. Conclusions: Studies we identified used visualizations to promote engagement in exercises or understandings of one’s health. Future research could overcome methodological limitations of studies we identified to develop visualizations that older adults could use with ease and accuracy to support their health behaviors and decision-making.

Background: Adolescent girls are less likely to meet physical activity recommendations than boys. This study examined the relative contribution of structured physical activity opportunities including physical education (PE) class and sports teams to overall activity levels for girls and boys. Methods. Data from 591 9th-12th grade students who completed the 2009 Philadelphia Youth Risk Behavior Survey were examined. Logistic regression was used to estimate the relationship between PE and sports teams and physical activity levels. Models were stratified by gender to estimate gender differences. Results. Girls were less likely to be active than boys: 27.9% of girls were sedentary as compared to 10.6% of boys. PE class was not related to activity levels among boys, while highly active girls were seven times more likely to participate in daily PE than were sedentary girls. Playing on one or more sports teams was associated with low-moderate and high activity in girls; among boys, sports team participation was only associated with high activity. Conclusions. The structured physical activity opportunities of PE and sports teams may contribute more to overall activity levels in girls than boys. A more rigorous assessment of this hypothesis is warranted to inform efforts to promote activity levels in girls. [ABSTRACT FROM AUTHOR]

Heart failure (HF) is one of the leading causes of rehospitalization in the United States. Due to the complex nature of HF, the provision of Medicare-certified home healthcare services has increased. Medicare-certified home healthcare agencies measure and report patients' outcomes such as functional status, activities of daily living (ADL), and instrumental activities of daily living to the Centers for Medicare and Medicaid Services. These metrics are assessed using the Outcome and Assessment Information Set (OASIS). As a large data set, OASIS has been used to advance care quality in multiple ways including identifying risk factors for negative patient outcomes. However, there is a lack of OASIS analyses to assess the relationship between functional status and the role of other factors, such as pain, in impeding recovery after hospitalization among HF patients. Therefore, the purpose of this study is to identify the relationship between functional status and pain using the OASIS database. Among 489 HF patients admitted to home healthcare, 83% were White, 57% were female, and the median age was 80. Patients who reported daily but not constant activity-interfering pain at discharge demonstrated the least improvement in functional performance as measured by ADLs, whereas patients without activity-interfering pain demonstrated the greatest improvement in ADL performance (p value = 0.0284). Tracking individual patient ADL scores, particularly the frequency of activity-interfering pain, could be a key indicator for clinical focus for patients with HF in the home healthcare setting.

Aging is associated with comorbidities and increased utilization of healthcare services, which results in a large amount of personal health information (PHI) to manage. Older adults often have difficulty managing this increased load of health information. Although many home healthcare nurses (HCNs) provide assistance to older adults after discharge from medical facilities, little is known about HCNs' experiences with older adults regarding the management and transfer of PHI in their homes. The purpose of this qualitative study was to 1) determine how HCNs obtain and provide health information, 2) describe the perspective of HCNs regarding older adult PHI, and 3) identify the potential role of technology in older adult health information transfer. We conducted and analyzed semistructured phone interviews with 17 HCNs from two home healthcare agencies. Five thematic areas emerged from interviews with HCNs: 1) common practices of obtaining health information; 2) barriers to obtaining health information; 3) ideal ways to obtain and provide health information; 4) use of patient portals; and 5) HCNs' use of technology for health information exchange. Most HCNs reported that it would be difficult for older adult patients to update their PHI without assistance, but HCNs lack the time and resources to assist older adults in PHI management activities.

Purpose: Renal impairment is highly prevalent among patients with cancer, and many patients have undiagnosed chronic kidney disease (CKD) from underlying disease, treatment, or both. African American individuals have disproportionate risk factors (diabetes, hypertension) predisposing them to CKD. We investigated whether African American patients are more likely than white patients to receive morphine with 3- and 6-glucuronide metabolites, which are known to be neurotoxic and accumulate in CKD; whether insurance type mediates the relationship between race and the prescriber's opioid selection; and whether the chosen opioid has a resultant negative effect according to race., Patients and Methods: Patients (N = 182) were recruited from oncology clinics within the University of Pennsylvania Health System. Inclusion was based on self-identified African American or white race, age older than 18 years, and the presence of cancer-related pain plus a prescription for morphine or oxycodone. Kidney function was estimated using the abbreviated Modification of Diet in Renal Disease formula., Results: Patients with CKD who received morphine reported a greater severity of analgesic-related adverse effects than patients with CKD who received oxycodone (P = .010). Controlling for health insurance type, African American patients had 71% lower odds of receiving a prescription of oxycodone than white patients (P < .001). Limiting analysis to those with CKD, the effect of private insurance became insignificant. However, race still remained a significant predictor of the prescribed opioid selection. Race was a strong predictor of adverse effect severity in the presence of CKD, and the type of opioid selection partially mediated this relationship., Conclusion: Reducing racial disparities in the type of opioid prescription and understanding mechanisms of disproportionate opioid-related adverse effects in African American patients might decrease the clinical disparities in cancer pain outcomes., (© 2014 by American Society of Clinical Oncology.)