Table 2.

Means, Standard Deviations, Alphas^#, and Pearson Correlations^†

	Mean	SD	1	2	3	4	5	6	7	8	9	10	11
1. Past experience	3.39	0.61	.77
2. Physician dummy	‡19.6%		−.22*
3. Organization tenure	14.77	9.82	.08	.24*
4. Dissemination	3.71	2.44	.38**	−.21*	.01
5. Teaching hospital	‡15.9%		−.05	.13	−.04	−.04
6. Hospital revenue (millions of $)	67.7	65.8	.03	.03	−.15	.05	.77**
7. Improvement culture	4.53	0.97	.15	−.10	.04	.26**	−.17	−.07	.84
8. Report complexity	4.36	1.28	.00	.03	.18	.25*	.00	.04	−.01
9. Data relevance	5.13	0.97	.24*	−.18	.01	.42**	.01	.07	.27**	.37**	.88
10. Data quality	4.53	0.81	.14	.01	.12	.39**	−.04	−.03	.25*	.46**	.53**	.86
11. Perceived usefulness	4.44	1.12	.11	−.05	.11	.40**	−.14	−.10	.35**	.40**	.48**	.79**	.95
12. Low AMI performance	‡24%††		−.31*	−.03	.07	−.05	−.07	−.05	−.13	−.15	−.10	−.18	−.21*

^†n=107. Although 202 subjects provided a questionnaire response, as reported in the results, 35% (70) were not familiar with HR99, leaving 132 subjects for model testing. However, only 107 subjects provided complete data for model testing; 25 subjects were lost due to missing data on the three data characteristics variables (report complexity, data relevance, data quality). Values could not be imputed because these 25 subjects responded to only 1 or 2 of the 19 items used to measure these three variables.

^#Coefficient alphas are italicized and reported in the diagonal where applicable

^‡Dummy variables (percent positive reported)

^††Performing low on at least one of four AMI or stroke clinical utilization and outcomes indicators

^*Correlation is significant at the 0.05 level (two-tailed)

^**Correlation is significant at the 0.01 level (two-tailed)