The PCS collects information on consumers of mental health services for a one-week period. As such, the standard portal tables provide counts of individuals for this one-week timeframe. OMH recognizes the utility of having some of these weekly numbers "annualized". Hence, OMH employs an annualizing algorithm developed by the Nathan Kline Institute (Laska, Meisner, Siegel, Biometrics, June 1988) to estimate the number served annually from these weekly numbers. Each point-estimate intrinsically has a range of uncertainty referred to as a "confidence interval". Confidence intervals are disproportionately-larger when the number of persons in the interest group is relatively-small. Below are three examples showing relatively narrow confidence intervals when the point estimates of persons served in a year are large and broad confidence intervals when the point estimates are small:
1. The statewide number of mental health consumers in a year has a point estimate of 717,075 and a 95% confidence interval of (649632, 797889)).
2. The number of multi-racial Hispanic mental health consumers in a year has a point estimate of 7,552 and a 95% confidence interval of (6204, 9168).
3. The number of Black/AA, Hispanic, males age 18-64 in NYC emergency programs has a point estimate of 277 and a confidence interval of (45, 556).
For simplicity, only the point estimates are presented in the table.