Persistence and switching patterns of oral migraine prophylactic medications among patients with chronic migraine: A retrospective claims analysis.

Background Migraine prevention guidelines recommend oral prophylactic medications for patients with frequent headache. This study examined oral migraine preventive medication (OMPM) treatment patterns by evaluating medication persistence, switching, and re-initiation in patients with chronic migraine (CM). Methods A retrospective US claims analysis (Truven Health MarketScan® Databases) evaluated patients ≥18 years old diagnosed with CM who had initiated an OMPM between 1 January, 2008 and 30 September, 2012. Treatment persistence was measured at six and 12 months' follow-up. Time-to-discontinuation was assessed for each OMPM and compared using Cox regression models. Among those who discontinued, the proportion that switched OMPMs within 60 days or re-initiated treatment between 61 to 365 days, and their associated persistence rates, were also assessed. Results A total of 8707 patients met the inclusion/exclusion criteria. Persistence to the initial OMPM was 25% at six months and 14% at 12 months. Based on Kaplan-Meier curves, a sharp decline of patients discontinuing was observed by 30 days, and approximately half discontinued by 60 days. Similar trends in time-to-discontinuation were seen following the second or third OMPM. Amitriptyline, gabapentin, and nortriptyline had significantly higher likelihood of non-persistence compared with topiramate. Among patients who discontinued, 23% switched to another prophylactic and 41% re-initiated therapy within one year. Among patients who switched, persistence was between 10 to 13% and among re-initiated patients, persistence was between 4 to 8% at 12 months. Conclusions Persistence to OMPMs is poor at six months and declines further by 12 months. Switching between OMPMs is common, but results indicate that persistence worsens as patients cycle through various OMPMs.

Health coverage of low-income citizen and noncitizen wage earners: sources and disparities.

The health coverage of low-income workers represents an area of continuing disparities in the United States system of health insurance. Using the 2001 California Health Interview Survey, we estimate the effect of low-income wage earners' citizenship and gender on the odds of obtaining primary employment-based health insurance (EBHI), dependent EBHI, public program coverage, and coverage from any source. We find that noncitizen men and women who comprise 40% of California's low-income workforce, share the disadvantage of much lower rates of insurance coverage, compared to naturalized and U.S.-born citizens. However, poor coverage rates of noncitizen men, regardless of permanent residency status, result from the cumulative disadvantage in obtaining dependent EBHI and public insurance. If public policies designed to provide a health care safety net fail to address the health care coverage needs of low-wage noncitizens, health disparities will continue to increase in this group that contributes essentially to the U.S. economy.

Many uninsured children qualify for Medi-Cal or Health Families.

Nearly 1.5 million California children ages 0-17 did not have health insurance coverage for all or part of the year in 2002. However, almost two-thirds of these uninsured children were eligible for one of the state's two public health insurance programs--Medi-Cal or Healthy Families. Uninsured children who were eligible but not enrolled in these programs were spread throughout the state, with wide variations between local areas. This policy brief presents data on children ages 0-17 in California who did not have health insurance coverage for some or all of the year and who were eligible for the Medi-Cal or Healthy Families programs. These data highlight the geographic variations in children's uninsured eligibility rates for state Assembly, Senate and Congressional districts, as well as for counties and the Los Angeles Service Planning Areas (SPAs). Uninsured-eligibility rates at local levels were estimated by applying a small-area methodology to multiple data sources, including the 2001 California Health Interview Survey (CHIS 2001), 2000-2002 Current Population Surveys, and the 2000 Census.