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. 2009 Jan;99(1):138–145. doi: 10.2105/AJPH.2008.134403

TABLE 2.

Multiple Regression Results With Multiply Imputed Data Sets For Predictors of Male Infant Circumcision: Nationwide Inpatient Sample, 2004

ba (95% CI) P
Intercept 1.276 (0.629, 1.923) <.001
State Medicaid program covers routine male circumcision 0.866 (0.375, 1.357) <.001
Hospital sizeb (Ref = large) .866
    Small 0.068 (–0.186, 0.323) .599
    Medium 0.021 (–0.168, 0.210) .827
Rural hospital location 0.213 (–0.182, 0.607) .290
Teaching hospital −0.162 (–0.447, 0.124) .267
Region (Ref = South) <.001
    Northeast −0.549 (−0.859, −0.239) <.001
    Midwest 0.210 (–0.085, 0.504) .164
    West −0.813 (−1.189, −0.436) <.001
Hospital ownershipc .122
Income quartile of patient's zip coded (Ref = lowest) .373
    Proportion in second quartile 0.341 (–0.176, 0.857) .196
    Proportion in third quartile 0.038 (–0.560, 0.637) .900
    Proportion in highest quartile −0.107 (–0.634, 0.421) .692
Length of stay (LOS; Ref = 2 to 5 d) <.001
    Proportion with LOS = 1 d, centered −1.487 (−2.343, −0.632) <.001
    Proportion with LOS = 1 d, squared −4.601 (−8.497, −0.706) .021
    Proportion with LOS ≥ 6 d, centered −5.267 (−8.009, −2.525) <.001
    Proportion with LOS ≥ 6 d, squared 4.303 (–0.824, 9.431) .1
Primary payer (Ref = private insurance) <.001
    Proportion with Medicaid as primary payer −2.986 (−3.758, −2.215) <.001
    Medicaid coverage × Medicaid proportion 2.080 (1.165, 2.996) <.001
    Proportion with no insurance −1.561 (−2.625, −0.496) .004
Race/ethnicity (Ref = non-Hispanic White) <.001
    Proportion African American 1.324 (–0.258, 2.905) .099
    Medicaid coverage × African American proportion −1.029 (–2.814, 0.756) .251
    Proportion Hispanic −2.095 (−2.846, −1.344) <.001
    Medicaid coverage × Hispanic proportion −0.961 (−1.834, −0.087) .031
    Proportion other race/ethnicity 0.550 (–0.994, 2.095) .445
    Medicaid coverage × other race proportion −0.428 (–2.111, 1.255) .615

Note. CI = confidence interval.

a

Logit-transformed scale.

b

Determined based on the number of beds. Classifications were relative to a hospital's region, urban or rural location, and teaching status.10

c

In sampling, hospitals were first assigned to strata on the basis of their region, location, and teaching status and then broken down further by hospital ownership. Number of categories used to define ownership depended on the size of these initial strata. Because of these context-specific aggregation levels, this variable is difficult to interpret, but was included in the multivariate analyses as a means of control for stratification. Hospital size was also used in stratification.

d

This was based on zip codes with median income of $1 to $35 999 (lowest quartile), $36 000 to $44 999 (second quartile), $45 000 to $58 999 (third quartile), and $59 000 or higher (highest quartile). This was calculated from Nationwide Inpatient Sample data on median household income quartile for each patient's zip code.10