Additional data elements include patient demographics, health plan type, payer type, provider specialty, and health plan enrolment dates.
Other data available include patient demographics, product type, payer type, provider specialty and eligibility dates related to plan enrolment and participation.
Some background variables, such as clinic type, provider's age and years working at the facility were added to the model.
A comparison of the number of each service type provider visits in the six months prior to and six months following admission is shown in Table 2.
Training was associated with greater knowledge (p < 0.001) and clinical skills (p < 0.05) in a multivariable model that adjusted for facility type, provider type, and years of experience offering EmONC services.
Summary statistics were generated with gender, type of provider, type of facility, working status and reasons for leaving as the categorical variable.
While training may be more important than the type of provider, the type of provider is often a marker of level of training.
We asked this question separately for different types of provider, because it is possible that the results differ between the types of provider.
The small number of sites and providers in each subgroup precluded a comparison of questions between different setting types and provider types.
The types of provider used varied between urban and rural sites.
