Self-Reported Health Status and Medical Debt

2018 ◽  
Vol 29 (1) ◽  
pp. 36-44
Author(s):  
Patrick Richard ◽  
Nilam Patel ◽  
Yuan-Chiao Lu ◽  
Pierre Alexandre
Keyword(s):  
Health Status ◽  
Financial Burden ◽  
Panel Study ◽  
Poor Health ◽  
Poor Health Status ◽  
Medical Debt ◽  
Reported Health ◽  
Using Data ◽  
Self Reported Health Status ◽  
Fair Poor

This paper examines the relationship between self-reported health status and medical debt outcomes using data from the 2013 Panel Study of Income Dynamics. There were two outcomes of interest: (a) the likelihood of having any medical debt, which included 4,227 households and (b) the amount of medical debt (medical debt > 0), which included 631 households. The results from the multivariate models showed that fair/poor health status increased the likelihood of having any medical debt by 73% and was associated with an increase in the amount of medical debt among those with medical debt by about 77% (p < .001) compared to those who reported better health. Poor health status appears to impose a financial burden on some households.

Gender Differences in the Relationship between Housing, Socioeconomic Status, and Self-Reported Health Status

2004 ◽  
Vol 19 (3-4) ◽  
pp. 177-196 ◽  
Author(s):  
James R. Dunn ◽  
Jennifer D. Walker ◽  
Jennifer Graham ◽  
Christina B. Weiss
Keyword(s):  
Gender Differences ◽  
Socioeconomic Status ◽  
Health Status ◽  
Poor Health ◽  
Future Research ◽  
Self Rated Health ◽  
Reported Health ◽  
Self Reported Health Status ◽  
Household Crowding ◽  
Fair Poor

Abstract This study investigates gender differences in housing, socioeconomic status, and self-reported health status. The analysis focuses on the social and economic dimensions of housing, such as demand, control, material aspects (affordability, type of dwelling) and meaningful aspects (pride in dwelling, home as a refuge) of everyday life in the domestic environment. A random sample, crosssectional telephone survey was administered in the city of Vancouver, Canada in June 1999 (n = 650). Survey items included measures of material and meaningful dimensions of housing, housing satisfaction, and standard measures of socioeconomic status and social support. The main outcome measure was self-reported health (excellent/very good/good vs. fair/poor). A three-stage analysis provides an overall picture of the sample characteristics for male and female respondents, detects significant relations between individual and housing characteristics and self-rated health status, and investigates male-female differences in the factors associated with fair/poor self-rated health. In multivariate analyses, a small number of socioeconomic dimensions of housing were associated with self-rated health status for women. For men, only one attribute of housing was associated with self-rated health: crowding was positively related to poor health, contradicting expectations and the findings for women. The self-reported strain of housework was unrelated to self-rated health for men, bot strongly related to poor health for women. For men and women, satisfaction with social activities increased the likelihood of reporting better health. Future research should focus on the health effects of geodered differences in domestic and paid work, and on home and family roles and the interaction among gender, household crowding, and health.

Opioid and Other Medication Use and General Health Status in a Cohort of Older Adults

Gerontology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Paul F. Pinsky ◽  
Danielle Durham ◽  
Scott Strassels
Keyword(s):  
Quality Of Life ◽  
Health Status ◽  
Chronic Conditions ◽  
Medication Use ◽  
Opioid Use ◽  
Reported Health ◽  
Chronic Opioid Use ◽  
Self Reported Health Status ◽  
Fair Poor

Objective: The aim of this study was to determine whether the use of opioids and other medications in a cohort of older adults was associated with self-reported health status. Methods: Among participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Screening Trial linked to Medicare Part D claims data and answering a quality-of-life questionnaire, we examined the relationship between medication use over a 5-year period and various self-reported health status variables assessed several years later, including overall health status (STATUS) and trouble with activities of daily living (TADL). Multivariable logistic regression was used to estimate odds ratios (ORs) for the health status variables and metrics of medication use, including >60-day use, and for opiates, chronic use, with models controlling for demographics (model I), additionally for chronic conditions (model II), and additionally for other medication use (model III). Results: The study cohort included 22,844 PLCO participants (56% women, 90% non-Hispanic whites); 4.2% had chronic opioid use and 12.5% used for >60 days. Fair-poor STATUS was reported in 37.9% of participants with chronic opioid use versus 15.0% of participants without (p < 0.001). ORs for chronic opioid use for fair-poor STATUS (compared to good-excellent) were significantly elevated in all models but decreased from model I (OR = 3.6; 95% CI :3.1–4.1) to model II (OR = 2.7; 95% CI :2.3–3.1) to model III (OR = 2.1; 95% CI :1.8–2.5). ORs for TADL were generally similar to those for STATUS. Other drug classes also had significantly elevated model III ORs for fair-poor versus good-excellent STATUS (range 1.1–1.6). Conclusion: Frequent use of various medication classes correlated with measures of future health status in an elderly population, with opioids having the strongest association. The magnitude of the association decreased after controlling for concurrent chronic conditions but remained elevated. Future research should consider how the use of opioids and other medications impact measures of health-related quality of life.

Insights From a Developing Country: Self-Reported Health Status of Elderly Men (60 Years and Over) in Jamaica

2013 ◽  
Vol 12 (2) ◽  
pp. 106-120 ◽  
Author(s):  
Chloe Morris ◽  
Kenneth James ◽  
Desmale Holder-Nevins ◽  
Denise Eldemire-Shearer
Keyword(s):  
Health Status ◽  
Developing Country ◽  
Elderly Men ◽  
Reported Health ◽  
Self Reported Health Status

Aircraft Noise Levels, Annoyance and General Health of Residents of Communities contiguous to a Major Airport in Lagos State

2020 ◽  
Vol 8 (4) ◽  
pp. 47-59
Author(s):  
Iheanyichukwu M. Elechi
Keyword(s):  
Health Status ◽  
General Health ◽  
Noise Exposure ◽  
Aircraft Noise ◽  
Poor Health ◽  
Noise Levels ◽  
General Health Status ◽  
Lagos State ◽  
Distant Location ◽  
Self Reported Health Status

The purpose of this study was to investigate the relationship between the aircraft noise exposure, annoyance reactions and health status of the residents living within the vicinity of the Murtala Muhammed International Airport (MMA) in Lagos state, Nigeria. Aircraft noise monitoring was conducted in five locations within the vicinity (0-5Km) of MMA, and a sixth distant location (14km away). Levels of aircraft noise for all five locations within the vicinity of the airport exceeded the EPA Victoria threshold of 75 dB LAmax for the residential area (outdoor). A survey on annoyance induced by aircraft noise exposure and general health status was conducted on 450 local residents in the study locations using the International Commission on Biological Effect of Noise question and a single question that has been applied in Dutch national health care surveys since 1983 on self-reported general health status respectively. Percentage of residents within the vicinity of MMA that were highly annoyed (%HA) exceeded 15% guideline limit stipulated by Federal Interagency Committee on Urban Noise while 14.5% reported poor health status. There was a significant association between the annoyance reactions and aircraft noise levels in the study locations while the association between self-reported health status and aircraft noise levels was not significant. Taken together, the residents within the vicinity of the airport are exposed to aircraft noise levels above permissible limit which may be associated with high annoyance reaction but may not be associated with poor health rating. Evidence-based aircraft noise related policies by government are advocated.

scholarly journals Use of Complementary and Alternative Medical Services by HMO Members, 1995-1996

2001 ◽  
Vol 7 (2) ◽  
pp. 85-98 ◽  
Author(s):  
Evelyn P. Whitlock
Keyword(s):  
Multivariate Analysis ◽  
Patient Satisfaction ◽  
Health Status ◽  
Service Users ◽  
Improve Patient Satisfaction ◽  
Kaiser Permanente ◽  
Reported Health ◽  
Self Reported Health Status ◽  
Improve Patient ◽  
Complementary And Alternative

We investigated HMO members' use of complementary and alternative medicine (CAM) providers outside the HMO in 1995-1996. A random 2% survey of Kaiser Permanente Northwest members addressed HMO service satisfaction, self-reported health status and behaviors, and HMO utilization. Among respondents, 15.7% (n = 380) used CAM providers (chiropractors, naturopaths, acupuncturists, others) in the prior 12 months, while 35% were ever users. Multivariate analysis found that those more likely to consult CAM providers were females, more educated, and more dissatisfied with the HMO. These results suggest that HMOs may wish to focus efforts to improve patient satisfaction among CAM service users.

Sexual Violence as a Key Predictor of Depressive Symptoms in Women: Korean Longitudinal Survey of Women and Families

2022 ◽  
pp. 107780122110680
Author(s):  
Young-taek Kim ◽  
Chiyoung Cha ◽  
Mi-ran Lee
Keyword(s):  
Depressive Symptoms ◽  
Health Status ◽  
Panel Data ◽  
Sexual Violence ◽  
Longitudinal Survey ◽  
Poor Health ◽  
Newly Diagnosed ◽  
Poor Health Status

The purpose of this study was to identify the influence of violence on depressive symptoms in women. We analyzed panel data from the Korean Longitudinal Survey of Women and Families ( n  =  6,632). Exposure to sexual violence was a significant predictor of the onset of depressive symptoms. After adjusting for all covariates, other predictors included the perception of a poor or very poor health status than normal and participants in their 40s and 50s versus participants younger than 40 years. Assessing exposure to sexual violence might be beneficial for evaluating depressive symptoms in women who are newly diagnosed with depression.

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