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. 2006 Feb;21(2):140–145. doi: 10.1111/j.1525-1497.2005.00300.x

Table 1.

Selected Patient Characteristics by Preventable Hospitalization

Variables Not Preventable (n=230) Preventable (n=170) P< ESS
Age 61.5 (13.6) 59.2 (12.4) .05 13.0
SF-12 mental component score* (0 to 100) 51.8 (11.6) 46.9 (13.1) .002 19.2
Body mass index* (kg/m2) 27.1 (6.2) 25.8 (6.3) .06 13.0
Literacy level .70 3.6
 >Eighth grade 43.5 40.6
 Seventh to eighth grade 33.0 33.5
 Fourth to sixth grade 18.3 17.1
 <Fourth grade 5.2 8.8
At least 1 binge drinking episode in past 30 d 9.6 32.4 .001 22.8
Cigarette use 35.6 52.3 .002 16.7
Factors related to health care utilization
 Greater than 3 clinic visits in past year* 72.6 58.2 .003 16.7
 At least 1 person as personal doctor 47.0 37.1 .053 9.9
 VA able to serve all medical needs 91.7 85.3 .052 6.4
Factors related to medication adherence
 Forgot to take medication .02 12.3
  All, most, or some of the time 19.7 31.0
  A little or none of the time 81.3 69.0
 Always follow medication instructions 82.6 71.0 .007 11.6
Factors related to social support
 Always have social support for medical care* 33.5 20.6 .02 12.9
 Club or organizational memberships 0.7 (1.2) 0.6 (1.7) .02 11.6
 People talked to in typical week 13.3 (10.6) 12.8 (11.3) .18 10.0
*

Variables had an ESS that was lower in jack-knife validity analysis compared with training analysis, suggesting that the level of classification accuracy in training may not cross-generalize when it is used to classify an independent random sample using the cutpoints or category assignments reported presently.

Summary values given are percentages or means and standard deviation in parentheses. Data presented as percentages are the number of patients with the characteristic divided by the N for that variable.

ESS, effect strength for sensitivity is a standardized measure of classification accuracy, where 0=accuracy expected by chance, and 100=perfect, errorless classification.

ESS, Effect strength for sensitivity.