Underinsurance before the implementation of the Affordable Care Act: From the Research Involving Outpatient Settings Network (RIOS Net).

BACKGROUND: As the Affordable Care Act (ACA) is implemented and many uninsured become insured, rates of underinsurance may persist or increase. This study was designed to estimate the rate of underinsurance in primary care safety net clinics serving low income, multiethnic populations in New Mexico. METHODS: Data were collected from 2 primary care clinics in an urban setting during a 2-week period in 2011 and 2012. Voluntary, anonymous, self-administered surveys were distributed to adult patients waiting to be seen by their doctor. Surveys were available in English and Spanish. RESULTS: Of those insured, 44% were underinsured. The underinsured comprised higher proportions of patients who were Hispanic, young, and poor; 39% reported fair or poor health, 23% reported that their health suffered from an inability to seek care because of cost, and 53% had either Medicaid or state coverage insurance. Patients with an income of ≤$25,000 were 8 times more likely to be underinsured. CONCLUSION: A high level of underinsurance was found in these safety net clinics. Because millions of Americans gain health care insurance benefits, monitoring whether the current reform provides adequate health care coverage or whether those with new and existing health care insurance are underinsured is critical.

Adult intimate partner violence perpetrators are significantly more likely to have witnessed intimate partner violence as a child than nonperpetrators.

BACKGROUND: In a previous study, no association was found between intimate partner violence (IPV) victims and being an adult who witnessed IPV as a child (ACW). OBJECTIVE: The objective of the present study was to determine whether perpetrators of IPV (Perps) could be identified in a busy emergency department (ED) and whether Perps were more likely than non-Perps to be ACWs. The hypothesis was that Perps differed significantly from non-Perps in being ACWs, in being victims of IPV, and in demographics. METHODS: The design was a cross-sectional cohort of patients presenting to an academic ED during randomized 4-hour shifts. A choice of computer touch screen data vs paper format was offered. Data collected included demographics as well as scales to determine whether subjects were a Perp, victim, and/or ACW of IPV. Six validated scales were used to screen and confirm victims, Perps, and ACWs. Predictor variables were ACW, ongoing IPV, and demographics. RESULTS: Two hundred thirty-six subjects were entered, 207 had complete data sets. Forty-four (19%) were Perps. By univariate analysis, there was a significant correlation of Perps and ACW (P = .001 by single question) and between Perp and being victims (P = .001). No other univariate variables were significantly correlated. By regression analysis, significant predictors of Perp included ACW and spouse drug abuse. CONCLUSIONS: The Perps were identified in a busy ED setting. Perps were significantly more likely than non-Perps to be ACWs, but not more likely to be victims. Spouse drug abuse and ACW were the 2 significant predictors of Perp.