The Social Psychology of Organizations.

Background: Special care facilities for patients with dementia gain increasing attention. However, an overview of studies examining the differences between care f

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Special Care Units and Traditional Care in Dementia: Relationship with Behavior, Cognition, Functional Status and Quality of Life - A Review

Postmodernism, or, the Cultural Logic of Late Capitalism

Importance The relationship between income and life expectancy is well established but remains poorly understood. Objectives To measure the level, time trend, and geographic variability in the association between income and life expectancy and to identify factors related to small area variation. Design and Setting Income data for the US population were obtained from 1.4 billion deidentified tax records between 1999 and 2014. Mortality data were obtained from Social Security Administration death records. These data were used to estimate race- and ethnicity-adjusted life expectancy at 40 years of age by household income percentile, sex, and geographic area, and to evaluate factors associated with differences in life expectancy. Exposure Pretax household earnings as a measure of income. Main Outcomes and Measures Relationship between income and life expectancy; trends in life expectancy by income group; geographic variation in life expectancy levels and trends by income group; and factors associated with differences in life expectancy across areas. Results The sample consisted of 1 408 287 218 person-year observations for individuals aged 40 to 76 years (mean age, 53.0 years; median household earnings among working individuals, $61 175 per year). There were 4 114 380 deaths among men (mortality rate, 596.3 per 100 000) and 2 694 808 deaths among women (mortality rate, 375.1 per 100 000). The analysis yielded 4 results. First, higher income was associated with greater longevity throughout the income distribution. The gap in life expectancy between the richest 1% and poorest 1% of individuals was 14.6 years (95% CI, 14.4 to 14.8 years) for men and 10.1 years (95% CI, 9.9 to 10.3 years) for women. Second, inequality in life expectancy increased over time. Between 2001 and 2014, life expectancy increased by 2.34 years for men and 2.91 years for women in the top 5% of the income distribution, but by only 0.32 years for men and 0.04 years for women in the bottom 5% ( P r  = −0.69, P r  = 0.72, P r  = 0.42, P r  = 0.57, P Conclusions and Relevance In the United States between 2001 and 2014, higher income was associated with greater longevity, and differences in life expectancy across income groups increased over time. However, the association between life expectancy and income varied substantially across areas; differences in longevity across income groups decreased in some areas and increased in others. The differences in life expectancy were correlated with health behaviors and local area characteristics.

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The Association Between Income and Life Expectancy in the United States, 2001-2014

The local food environment and diet: A systematic review

Disparities and access to healthy food in the United States: A review of food deserts literature

Design.— A before-after design with a control group. The families of newly enrolled children were interviewed by telephone using an identical survey instrument at baseline, at 6 months, and at 12 months after enrollment into the program. A second group of families of newly enrolled children were interviewed 12 months after the initial interviews to form a comparison sample. Setting.— The 29 counties of western Pennsylvania, an area with a population of 4.1 million people. Subjects.— A total of 887 families of newly enrolled children were randomly selected to be interviewed; 88.3% agreed to participate. Of these, 659 (84%) responded to all 3 interviews. The study population consists of 1031 newly enrolled children. The children were further classified into those who were continuously enrolled in the programs. The 330 comparison families had 460 newly enrolled children. Main Outcome Measures.— The following access measures were examined: whether the child had a usual source of medical or dental care; the number of physician visits, emergency department visits, and dentist visits; and whether the child had experienced unmet need, delayed care, or both for 6 types of care. Other indicators were restrictions on the child’s usual activities and the impact of being insured or uninsured on the families. Results.— Access to health care services after enrollment in the program improved: at 12 months after enrollment, 99% of the children had a regular source of medical care, and 85% had a regular dentist, up from 89% and 60%, respectively, at baseline. The proportion of children reporting any unmet need or delayed care in the past 6 months decreased from 57% at baseline to 16% at 12 months. The proportion of children seeing a physician increased from 59% to 64%, while the proportion visiting an emergency department decreased from 22% to 17%. Since the comparison children were similar to the newly enrolled children at enrollment into the insurance programs, these findings can be attributed to the program. Restrictions on childhood activities because of lack of health insurance were eliminated. Parents reported that having health insurance reduced the amount of family stress, enabled children to get the care they needed, and eased family burdens. Conclusions.— Extending health insurance to uninsured children had a major positive impact on children and their families. In western Pennsylvania, health insurance did not lead to excessive utilization but to more appropriate utilization.

https://jamanetwork.com/journals/jama/articlepdf/187612/jcu71006.pdf

Impact of a Children's Health Insurance Program on Newly Enrolled Children

Objectives. 1) To examine age variation in unmet need/delayed care, access, utilization, and restricted activities attributable to lack of health insurance in children before they receive health insurance; and 2) to examine the effect of health insurance on these indicators within each age group of children (in years). Methods. We use cohort data on children before and after receiving health insurance. The study population consists of 750 children, 0 through 19 years of age, newly enrolling in two children9s health programs. The families of the newly enrolled children were interviewed at the time of their enrollment (baseline), and again at 6 months and 1 year after enrollment. The dependent variables measured included access to regular provider, utilization, unmet need or delayed health care, and restrictions on activities attributable to health insurance status. All these indicator variables were examined by age groups (0–5, 6–10, 11–14, and 15–19 years of age). χ2tests were performed to determine whether these dependent variables varied by age at baseline. Using logistic regression, odds ratios were calculated for baseline indicators by age group of child, adjusting for variables commonly found to be associated with health insurance status and utilization. Changes in indicator variables from before to after receiving health insurance within each age group were documented and tested using the McNemar test. A comparison group of families of children enrolling newly 12 months later were interviewed to identify any potential effects of trend. Results. All ages of children saw statistically significant improvements in access, reduced unmet/delayed care, dental utilization, and childhood activities. Before obtaining health insurance, older children, compared with younger children, were more likely to have had unmet/delayed care, to have not received health care, to have low access, and to have had activities limited by their parents. This pattern held for all types of care except dental care. Age effects were strong and independent of covariates. After being covered by health insurance, the majority of the delayed care, low utilization, low access, and limited activities in the older age groups (11–14 and 15–19 years) was eliminated. Thus, as levels of unmet need, delayed care, and limitations in activities approached zero in all age groups by 1 year after receipt of health insurance, age variation in these variables was eliminated. By contrast, age variation in utilization remained detectable yet greatly reduced. Conclusion. Health insurance will reduce unmet need, delayed care, and restricted childhood activities in all age groups. Health care professionals and policy makers also should be aware of the especially high health care delay, unmet need, and restricted activities experienced by uninsured older children. The new state children9s health insurance programs offer the potential to eliminate these problems. Realization of this potential requires that enrollment criteria, outreach strategies, and delivery systems be effectively fashioned so that all ages of children are enrolled in health insurance.

The Impact of a Children's Health Insurance Program by Age

Studies suggest that proximity to a supermarket influences access to healthy foods. However, little is known about factors that influence food buying practices within areas with limited supermarket access. This study identified these factors and explored how they are related and influence healthy eating. Twenty-five men and women engaged in the concept mapping process, a mixed methods approach allowing participants to identify, sort, and rate ideas. Participants generated 121 unique (nonduplicate) statements of factors that influence food buying practices and sorted them into 12 clusters that represented their perceptions. Average cluster ratings for residents with poor supermarket access were higher than residents with supermarket access. Awareness of these factors is important for increasing access to and consumption of healthy foods.

Factors Influencing Food Buying Practices in Residents of a Low-Income Food Desert and a Low-Income Food Oasis:

This paper examines the impact that the lack of health insurance has on children and their families. A random sample of families of children who were newly enrolled in a children's health insurance program were interviewed by telephone and asked about the children's health status, the amount of unmet need and delayed care for a number of services, consequences of unmet need and delayed care, usual activities, and the effect on the lack of health insurance. Data were analyzed by using both quantitative and qualitative methods. We found that uninsured children had experienced considerable unmet need and delayed care that increased as the time without insurance increased. The parents reported some adverse consequences. The children were also found to be limited in the extent to which they could participate in various activities specifically because they lacked health insurance. Finally, the parents reported considerable stress and worry associated with their children's lack of coverage. We conclude that being without health insurance has broad consequences for America's children.

Christopher Keane

Papers

Disparities and access to healthy food in the United States: A review of food deserts literature

Impact of a Children's Health Insurance Program on Newly Enrolled Children

The Impact of a Children's Health Insurance Program by Age

Factors Influencing Food Buying Practices in Residents of a Low-Income Food Desert and a Low-Income Food Oasis:

The impact of lack of health insurance on children.