Background: Although the fragmentation of end-of-life care has been well documented, previous research has not examined racial and ethnic differences in transitions in care and hospice use at the end of life. Design and Subjects: Retrospective cohort study among 649,477 Medicare beneficiaries who died between July 2011 and December 2011. Measurements: Sankey diagrams and heatmaps to visualize the health care transitions across race/ethnic groups. Among hospice enrollees, we examined racial/ethnic differences in hospice use patterns, including length of hospice enrollment and disenrollment rate. Results: The mean number of care transitions within the last six months of life was 2.9 transitions (standard deviation [SD] = 2.7) for whites, 3.4 transitions (SD = 3.2) for African Americans, 2.8 transitions (SD = 3.0) for Hispanics, and 2.4 transitions (SD = 2.7) for Asian Americans. After adjusting for age and sex, having at least four transitions was significantly more common for African Americans (39.

Objectives To examine the association between time since cancer diagnosis and health-related quality of life (HRQOL) among cancer survivors in remission. Methods Analyzing data from 3,610 cancer survivors and 59,539 individuals without cancer in the Medical Expenditure Panel Survey, we examined the relationship between time since cancer diagnosis and HRQOL, taking remission status into account and controlling for patient demographics and comorbidities. HRQOL measurements included the six-dimensional health state short form (SF-6D) utility scores, the Physical Component Summary (PCS), and the Mental Component Summary (MCS). Results The relation between the time since cancer diagnosis and HRQOL varied substantially across cancer types. Compared with individuals without cancer, survivors of breast, prostate, or poor-prognosis cancer had statistically lower SF-6D scores within 2 years of diagnosis (-0.044, −0.062, and −0.088, respectively). Breast cancer survivors had SF-6D scores similar to non-cancer individuals after 2 years, as did patients with poor-prognosis cancer after 5 years. However, even after a period of 10 years, survivors of prostate or cervical cancer had a lower level of SF-6D scores (−0.027 and −0.042, respectively). The comparisons of physical health between cancer survivors and individuals without cancer were similar to those of SF-6D. In contrast, most cancer survivors did not experience poorer mental health; however, survivors of prostate or cervical cancer had lower MCS after 10 years of diagnosis. Conclusions The level of HRQOL among cancer survivors depends on time since cancer diagnosis and cancer type. Some cancer survivors have lower HRQOL after a decade of diagnosis, even in remission.

Facing escalating health care expenditures, the governments of countries with national health insurance programs are trying to control or even to reduce health care utilization. Little research has examined the effects of decreased health care utilization on health outcomes. Applying a natural experiment design to the Taiwan population between 2000 and 2004, which includes the 2003 SARS epidemic when an average 20% decline in health care utilization occurred, this study examines the association between a decline in health care utilization and health outcomes measured by cause-specific mortality rates. We analyse the monthly mortality rates caused by infectious diseases, cancer, diabetes mellitus, nervous system diseases, cerebrovascular diseases, heart and other vascular diseases, respiratory system diseases, digestive system diseases, genitourinary system diseases and accidents. Models control for age, sex, month and year effects. Results show the heterogeneous effect of reduced health care utilization on health outcomes. Patients with diabetes mellitus or cerebrovascular diseases are vulnerable to short-term reductions in health care; compared with the non-SARS period, mortality caused by diabetes mellitus and cerebrovascular diseases significantly increased during the SARS epidemic by 8.4% and 6.2%, respectively. No significant change in mortality rates caused by the other diseases or accidents is found. This study suggests that governments of countries where health care utilization and spending are similar to or inferior to those in Taiwan should carefully evaluate the impact of policies that attempt to reduce health care utilization. Furthermore, when an area encounters an epidemic, governments should be aware of the negative consequences of voluntary restraints on access to health care that accompany decreases in utilization.