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Total ICU admission volume (r = 0.26 (-0.05; 0.53)) and MV volume (r = 0.19 (-0.14 to 0.48)) were not correlated with practice variation reflected by global IQV.
List size (strongly correlated with practice deprivation) and ratio of GPs to patients were not included as covariates (no data on number of sessions worked).
List size and total number of GPs were excluded as they were strongly correlated with practice IMD which was the focus of this evaluation.
Hierarchical multiple regression indicated that income over time was positively correlated with practice size (coefficient 0.0000161; t = 2.27; p = 0.026) and negatively correlated with IMD (coefficient −0.00664; t = −3.99; p = 0.0001; Table 6).
One variable, full time equivalent GPs was removed due to multi-collinearity: this was highly correlated with practice list size and the latter was a stronger predictor in the univariate analyses.
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Indeed, a major limitation of outcomes research is the inability to account for unobserved heterogeneity that directly correlates with practice patterns and/or health outcomes.
The association between respondents' perceptions of team climate and indicators of good quality of care was assessed using Pearson product moment correlation coefficients; the mean TCI scores (both total scores and sub-domain scores) for each practice were correlated with the practice QOF scores.
The correlation matrix (Table 3) showed that density of outpatient services, public inpatient services, and private inpatient services were highly correlated with public practice physicians (r = 0.64), public practice health personnel (r = 0.70), and private practice physicians (r = 0.78); respectively.
Further analysis confirmed this: the within practice standard deviation of general practitioners' mean communication scores was negatively correlated with the practice's mean communication score (Pearson's r=−0.505; P=0.010).
The highest education degree was not correlated with the practice method (χ = 8.03, df = 8, P = 0.43).
Overall, however, trainers described the seminar discussions as lively, with participants most eagerly engaged in discussing local resistance rates as correlated with own practice data.
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