Sentence examples for responding physicians from inspiring English sources

Finally, we found significant differences between responding physicians and non-responding physicians in the age, province, and place of death of their patients.

Responding physicians were older (average age, 50 years) than non-responding physicians (average age, 47 years).

Many respondents (62.4%) were concerned about sponsor control, and 17.6% of all responding physicians reported that concerns about sponsor control of decision making, data, and/or publication completely prevented them from participating in clinical research.

Responding physicians reported workplace changes that included organizational restructuring (32.6%), affiliation with managed care plans (24%), and staff decreases (45.9%).

Over two thirds (67.4%) of responding physicians indicated that health care system changes had a negative impact on current research, and 54.5% indicated that such changes made it less likely that they would pursue new research.

METHODS: A retrospective survey was conducted with information gathered on 50 responding physicians who attended a cryosurgery workshop between February 2004 and September 2006.

Although 97.6% of the responding physicians indicated that hearing loss affected patients' quality of life, only 60% assessed patients for hearing loss.

However, about one fourth of responding physicians in Germany never measure IAP, and there is considerable uncertainty about which patients are at risk of developing ACS and how often IAP should be measured.

Kellerman and Herold [ 8] outline the reasons why responding and non-responding physicians tend to share similar characteristics.

We used bivariate (chi square, Wilcoxon rank-sum) analysis to assess differences in responding and non-responding physicians' number of years in practice and census region.

Differences between responding and non-responding physicians in use of TCs and VCs were evaluated using t-tests for mean consultation rates, Wilcoxon rank-sum tests for median consult rates, and Poisson regression models for ratios of VC to TCs.