Financial Quality Of Life Research Articles

Socioeconomic Determinants of Health Contributing to the Consumption of Nonprescribed Medicines in Ethiopia.

BackgroundSocial determinants of health are understood as the conditions in which people are born, grow, live, work, and age that shapes health and include a domain of factors. Self-medication is influenced by these socioeconomic factors. This study, aims to quantitatively examine the relationship between these factors and the use of nonprescribed medicines and then identify which of the factors have the highest predictable value in Ethiopia.MethodsA quantitative, descriptive, cross-sectional, community-based research approach was used to explore the relationship between the dependent and independent variables in Addis Ababa, Ethiopia. Descriptive statistics, cross-tabulations, bivariate and regression analysis were used in the analysis.ResultsA total of 72.2% (n=433) participants were found to have an ever experience of self-medication in their life and 35.7%) (n=214) have the practice in the last two months. Bivariate analysis showed that in the predisposing factors categories: age group (50–59) (p-value=0.034); those who are knowledgeable about all drugs not to be given to nursing mother (p-value=0.006); those who agree on the attitude that they would rather treat themselves than go to the nearest health facility (p-value=0.000) in the enabling factors; those who were satisfied with their financial quality of life (p-value=0.014) and from the need factors; those who perceived their health status as good (p-value=0.000) showed a significant association. Multivariate analysis showed that age, knowledge, attitudes showed statistical significance. Also, quality of life satisfaction of enabling factors and illness in the past two months from need factors had a statistically significant effect as predictors of utilization of nonprescribed medicines.ConclusionTo strategize for appropriate self-medication, interventions should focus on changing the knowledge, attitude, and perception of the specific sociodemographic factors identified in the study.

Abstract B032: Which forms of financial hardship predict financial distress among African American and white cancer survivors?

Abstract Background: Financial hardship (FH) is common among cancer survivors and prevalence is often higher in non-white survivors. It is not known whether specific forms of FH are stronger predictors of financial distress than others, or if predictors of distress differ by race. Methods: We utilized data from 500 (196 white, 304 African American) participants in the Detroit Research on Cancer Survivors pilot cohort. Adults ages 20-79 were eligible if they were diagnosed with a first primary breast, colorectal, lung, or prostate cancer since January 1, 2013; identified through the Metropolitan Detroit Cancer Surveillance System; and diagnosed/treated at the Karmanos Cancer Institute. Measures of financial hardship included decreased income, cancer-related debt, utilizing assets or borrowing money to pay for cancer care, refusing treatment or not seeing a doctor when needed due to cost, and skipping doses of prescribed medication to save money. Financial distress was measured using the validated Comprehensive Score for Financial Toxicity (COST), coded so that lower scores indicate higher distress (lower financial quality of life). We used backward selection models including demographic and socioeconomic factors to identify predictors of financial distress overall and separately for white and African American survivors. Results: COST scores were 27.3 on average (SD: 10.9; 95% CI: 26.2, 28.3; range: 0-44), and were lower (more financial distress) in African American (24.5, 95% CI: 23.1, 25.8) than white survivors (31.0, 95% CI: 29.4, 32.5; p<0.001). Younger age, being unmarried, lower income, not being employed, and having Medicaid coverage were all associated with higher financial distress. Debt, decreased income, utilizing assets, skipping doses of prescribed medication, and needing a doctor but not going were each independently associated with more financial distress overall (all p=0.013). Debt was associated with distress among both white and African American survivors in race-specific models (p=0.005) and decreased income was associated with distress in white (p=0.013) and marginally associated (p=0.06) in African American survivors. Not going to the doctor when needed and utilizing assets (both p<0.001) predicted distress among white survivors, while refusing treatment due to cost (p=0.007) and skipping doses of prescribed medication to save money (p=0.007) predicted distress in African American survivors. Not going to a doctor when needed was more common in African American survivors, but more strongly associated with distress in white survivors (p-interaction=0.024). A similar pattern was observed for utilizing assets but was only marginally significant (p=0.08). Conclusions: Several forms of financial hardship were strongly associated with financial distress after cancer, but their association with distress differed by race. Some forms of financial hardship that are more common in African American survivors are more strongly associated with financial distress among white survivors. Citation Format: Theresa A. Hastert, Amanda R. Reed, Jennifer L. Beebe-Dimmer, Terrance L. Albrecht, Julia Mantey, Tara Baird, Ann G. Schwartz. Which forms of financial hardship predict financial distress among African American and white cancer survivors? [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr B032.

Financial Quality of Life for Patients With Cancer: An Exploratory Study

Objective: For people who are experiencing financial hardship, a cancer diagnosis can be devastating. For others, cancer may exacerbate financial stress, thereby influencing their livelihood, their ability to maintain employment benefits including health insurance, manage financial obligations, and participate meaningfully in cancer treatment. This study examined how vulnerabilities in psychosocial situations affect financial quality of life within the larger context of health-care decision making through a survey conducted with a cross-sectional availability sample of 90 cancer patients. Results from the multiple regression analysis found that health insurance adequacy, fewer perceived barriers to care, and reduced financial stress are significant predictors of better financial quality of life in this sample. Oncology social workers and other disciplines involved in psychosocial treatment with patients with cancer must assess and address financial and logistic aspects of life in order to provide comprehensive cancer care that meets all needs. Collaborative coordination with patients with cancer and their families to intervene psychosocially, medically, and financially are critical components of sound psychosocial and medical practice.

Exploring the Collective Hospice Caregiving Experience

Collective caregiving, performed by caregivers working in pairs (informal primary and secondary caregivers working together), is common in the hospice setting. Research suggests that caregiving pairs may experience different caregiver outcomes. However, little is known about how caregiving pairs differ from solo caregivers (informal primary caregivers) on outcome measures. The goal of this study was to determine whether being in a caregiver pair affected caregiver anxiety and depression and how outcomes changed over time. A mixed model analysis was used. Hospice caregivers (260 solo caregivers and 44 caregivers in 22 pairs) who participated in a larger, randomized controlled trial completed caregiver measures upon hospice admission and periodically until the death of the patient or hospice decertification. Measured were caregiver quality of life, social support, anxiety, and depression. Caregiver pairs had higher anxiety and depression scores than solo caregivers. Emotional, financial, and physical quality of life were associated with decreased depression, whereas only emotional and financial quality of life were correlated with lower levels of anxiety. Social support was associated with lower levels of depression and anxiety. Despite assumptions that social support is positively facilitated vis-a-vis collective caregiving, caregiving pairs may be at higher risk for anxiety and depression. Future research is needed to address why individuals become anxious and/or depressed when working as part of a caregiving pair.

Does National Income Inequality Affect Individuals’ Quality of Life in Europe? Inequality, Happiness, Finances, and Health

This paper analyses the effect of income inequality on Europeans’ quality of life, specifically on their overall well-being (happiness, life satisfaction), on their financial quality of life (satisfaction with standard of living, affordability of goods and services, subjective poverty), and on their health (self-rated health, satisfaction with health). The simple bivariate correlations of inequality with overall well-being, financial quality of life, and health are negative. But this is misleading because of the confounding effect of a key omitted variable, national economic development (GDP per capita): Unequal societies are on average much poorer (r = 0.46) and so disadvantaged because of that. We analyse the multi-level European Quality of Life survey conducted in 2003 including national-level data on inequality (Gini coefficient) and economic development (GDP) and individual-level data on overall well-being, financial quality of life, and health. The individual cases are from representative samples of 28 European countries. Our variance-components multi-level models controlling for known individual-level predictors show that national per capita GDP increases subjective well-being, financial quality of life, and health. Net of that, the national level of inequality, as measured by the Gini coefficient, has no statistically significant effect, suggesting that income inequality does not reduce well-being, financial quality of life, or health in advanced societies. These result all imply that directing policies and resources towards inequality reduction is unlikely to benefit the general public in advanced societies.

The impact of migraine on school performance

The researchers in this study tackle an often overlooked problem: how migraine headache affects the school performance of children.1 It is bad enough to have migraines as an adult (it may mean missing work, family functions, or social time), but migraines, which often begin in childhood, can have a negative impact on the developing brain during school years. Many studies have shown that doing well in middle and elementary school results in better high school and college performance. Higher education opens up opportunities for a better income and financial quality of life. If migraines make schoolwork harder and lead to worse grades, this can affect future opportunities and brain development. The researchers set out to describe the scope of this problem. Migraines are a type of primary headache disorder, meaning that they are not generally thought to be caused by something else, like a growth in the brain. Migraines cause headaches that are usually on one side of the head. Sometimes the side may change or the pain may be on both sides at the same time. They are usually moderate to severe …