Sentence examples for morbidity estimates between from inspiring English sources

To our knowledge, this is the first research that investigates the direct influence of GP and practice characteristics on the variation of morbidity estimates between registration networks, not on the actual morbidity estimation.

Adjusting for these practice characteristics hardly reduced the variation of morbidity estimates between networks or practices.

Practice characteristics do not explain the differences in morbidity estimates between GPRNs.

We are interested in the influence of practice characteristics on the variation in morbidity estimates between GPRNs and practices.

We did not find any apparent influence of GP or practice characteristics on the variation in morbidity estimates between GPRNs.

In this paper we investigate to what extent practice and GP characteristics explain the variation in morbidity estimates between six Dutch GPRNs and related practices.

We analyzed the influence of eight practice characteristics, such as type of practice, percentage female general practitioners, and employment of a practice nurse, on the variation in morbidity estimates of twelve diseases between six Dutch GPRNs.

In earlier research, we identified the GP and practice characteristics as a probable factor of variation between morbidity estimates using GPRN data, also known as inter-doctor variation [ 5].

Nevertheless, morbidity estimates for specific groups of migrants could be biased in the case of an association between the level of social integration and morbidity.

Morbidity estimates were based on outpatient visits.

Hardly any practice characteristic showed an effect on morbidity estimates.