Definition

The percentage of New Jersey adults without health insurance coverage at the time of the survey

Numerator

Number of persons in the survey sample who were uninsured at the time of the survey

Denominator

Total number of survey respondents except those with missing, "Don't know/Not sure," and "Refused" responses.

Data Interpretation Issues

Starting in 2011, BRFSS protocol requires that the NJBRFS incorporate a fixed quota of interviews from cell phone respondents along with a new weighting methodology called iterative proportional fitting or "raking". The new weighting methodology incorporates additional demographic information (such as education, race, and marital status) in the weighting process. These methodological changes were implemented to account for the underrepresentation of certain demographic groups in the land line sample (which resulted in part from the increasing number of U.S. households without land line phones). Comparisons between 2011 and prior years should therefore be made with caution. (More details about these changes can be found at [http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6122a3.htm].) Data from the New Jersey Behavioral Risk Factor Survey are intended to represent non-institutionalized adults in households with telephones. Data are collected using a random sample of all possible telephone numbers. Prior to analysis, data are weighted to represent the population distribution of adults by age, sex, and "race"/ethnicity. As with all surveys, however, some residual bias may result from non-response (e.g., refusal to participate in the survey or to answer specific questions) and measurement error (e.g., social desirability or recall). Attempts are made to minimize such error by use of a strict calling protocol (up to 15 calls are made to reach each household), good questionnaire design, standardization of interviewer behavior, interviewer training, and frequent, on-site interviewer monitoring and supervision.

Why Is This Important?

Lack of health insurance coverage has been associated with delayed access to health care and increased risk of chronic disease and mortality. People without health insurance are much less likely than those with insurance to receive recommended preventive