Estimation and Testing of Self-Reporting Heterogeneity in Self-Assessed Health Questions

2020 ◽  
Author(s):  
Emmanouil Mentzakis ◽  
Jose Olmo
Keyword(s):  
Reporting Heterogeneity ◽  
Self Assessed Health

scholarly journals Income-related reporting heterogeneity in self-assessed health: evidence from France

2006 ◽  
Vol 15 (9) ◽  
pp. 965-981 ◽  
Author(s):  
Fabrice Etilé ◽  
Carine Milcent
Keyword(s):  
Reporting Heterogeneity ◽  
Self Assessed Health

scholarly journals I Feel Good! Gender Differences and Reporting Heterogeneity in Self-Assessed Health

2010 ◽  
Author(s):  
Christian Pfarr ◽  
Brit S. Schneider ◽  
Udo Schneider ◽  
Volker Ulrich
Keyword(s):  
Gender Differences ◽  
Reporting Heterogeneity ◽  
Self Assessed Health

scholarly journals Reporting heterogeneity in self-assessed health among elderly Europeans

2012 ◽  
Vol 2 (1) ◽  
Author(s):  
Christian Pfarr ◽  
Andreas Schmid ◽  
Udo Schneider
Keyword(s):  
Reporting Heterogeneity ◽  
Self Assessed Health

scholarly journals I feel good! Gender differences and reporting heterogeneity in self-assessed health

2011 ◽  
Vol 13 (3) ◽  
pp. 251-265 ◽  
Author(s):  
Udo Schneider ◽  
Christian Pfarr ◽  
Brit S. Schneider ◽  
Volker Ulrich
Keyword(s):  
Gender Differences ◽  
Reporting Heterogeneity ◽  
Self Assessed Health

scholarly journals The Effect of Health System Responsiveness on Health Outcome: Evidence from Spain

2020 ◽  
Author(s):  
Solomon Kibret Abreha
Keyword(s):  
Primary Care ◽  
Health Outcome ◽  
Health System ◽  
Waiting Time ◽  
Hospital Care ◽  
Ordered Probit ◽  
Reporting Heterogeneity ◽  
System Responsiveness ◽  
Health System Responsiveness ◽  
Self Assessed Health

Abstract Background For the last two decades, the health system responsiveness has gained attention in the health policy area. However, little is known about its effect within the healthcare system on health outcome. This study aims to investigate the influence of health system responsiveness on self-assessed health. Particularly it examines if self-assessed health is affected by satisfaction with communication, dignity and waiting time.Methods The study used data from the Spanish Health Care Barometer Survey (SHBS) between 2011 and 2013. The Ordered Probit and the Hierarchical Ordered Probit (HOPIT) model was used to model anchoring vignettes and to control the problem of reporting heterogeneity arises from self-reported health.Results The result suggests a strong positive association between reporting very good self-assessed health and most of the domains of health system responsiveness. Specifically, after adjusting for reporting heterogeneity, satisfaction with waiting time and communication were found to be statistically significant and positively associated with reporting better self-assessed health for respondents in primary care and hospital care settings, respectively in Spain. The marginal effect of a one unit increase in satisfaction with waiting time in primary care and communication in hospital care is associated with a 2% and 4% increase in the in the likelihood of reporting very good health status respectively, keeping other variables constant.Conclusions Overall, the result suggests that improving patient’s satisfaction with health systems responsiveness may have a positive influence on patients’ health outcomes.

scholarly journals The Differential Effects of Caregiving Intensity on Overnight Hospitalization in the Previous 2 Years

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 76-76
Author(s):  
Kylie Meyer ◽  
Zachary Gassoumis ◽  
Kathleen Wilber
Keyword(s):  
Health Services ◽  
Fixed Effects ◽  
Regression Models ◽  
P Value ◽  
Logistic Regression Models ◽  
Spousal Caregiving ◽  
Health Insurance Status ◽  
Race Ethnicity ◽  
Self Assessed Health ◽  
Retirement Study

Abstract Caregiving for a spouse is considered a major stressor many Americans will encounter during their lifetimes. Although most studies indicate caregiving is associated with experiencing diminished health outcomes, little is known about how this role affects caregivers’ use of acute health services. To understand how spousal caregiving affects the use of acute health services, we use data from the Health and Retirement Study. We apply fixed effects (FE) logistic regression models to examine odds of experiencing an overnight hospitalization in the previous two years according to caregiving status, intensity, and changes in caregiving status and intensity. Models controlled for caregiver gender, age, race, ethnicity, educational attainment, health insurance status, the number of household residents, and self-assessed health. Overall, caregivers were no more likely to experience an overnight hospitalization compared to non-caregivers (OR 0.92; CI 0.84 to 1.00; p-value=0.057). However, effects varied according to the intensity of caregiving and the time spent in this role. Compared to non-caregivers, for example, spouses who provided care to someone with no need for assistance with activities of daily living had lower odds of experiencing a hospitalization (OR 0.77; CI 0.66 to 0.89). In contrast, caregivers who provided care to someone with dementia for 4 to <6 years had 3.29 times the odds of experiencing an overnight hospitalization (CI 1.04 to 10.38; p-value=0.042). Findings indicate that, although caregivers overall appear to use acute health services about as much as non-caregivers, large differences exist between caregivers. Results emphasize the importance of recognizing diversity within caregiving experiences.

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