Since guidelines for receipt of screening and preventive services and both age- and gender-specific, respondents are divided into groups for which specific sets of services are indicated. These groups are:

Men, ages 18–49 ==> BP & CHOL

Men, ages 50–64 ==> BP & CHOL & FOBT/COLONSIG

Men, ages 65+ ==> BP & CHOL & FOBT/COLONSIG & FLU

Women, ages 18–39 ==> BP & CHOL & PAP

Women, ages 40–49 ==> BP & CHOL & PAP & MAM

Women, ages 50–64 ==> BP & CHOL & PAP & MAM & FOBT/COLONSIG

Women, ages 65+ ==> BP & CHOL & PAP & MAM & FOBT/COLONSIG & FLU

To calculate the indicator, a provisional value of “yes” is set for each individual in each group, and then reset to “no” if a specific service is not reported by that individual in the appropriate time frame. The indicator is then the percentage of respondents (in each group or in all groups combined) for whom the receipt of services variable is “yes” after going through all services. Even though the number of recommended services varies by age and gender, the percent “yes is interpretable in the same way for each group and combinable across groups to yield an overall percentage for all adults.

The detailed coding for this algorithm is presented below.

*1. initial preventive care indicator variables

capture label drop yn

label define yn 0”No” 1”Yes” 9”DK, Refused, Not Ascertained”

gen choles5yr=cholck3<=4

replace choles5yr=9 if cholck3<=-7

replace choles5yr=. if cholck3==-1

label var choles5yr “cholesterol screen in past 5 yrs”

label values choles5yr yn

gen bp2yr=bpchek3<=2

replace bp2yr=9 if bpchek3<=-7

replace bp2yr=. if bpchek3==-1

label var bp2yr “blood pressure checked in past 2 yrs”

label values bp2yr yn

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