Figure 1.
Conceptual model for healthcare and mortality.
A proportion of the healthy or morbid population will die each year. This may be predicted by relevant population characteristics; however, appropriate health care may alter this predictive effect, either directly on the progression from 1 or more of these diseases to death or indirectly by affecting a “modifiable” population factor (e.g. detecting and treating blood pressure, detecting obesity, delivering smoking cessation or weight reduction care). In addition to primary healthcare, other factors may affect the progression to mortality, including secondary healthcare and non-healthcare led interventions, such as in education, employment and housing.
Table 1.
Annual mortality rates and counts in primary care trusts.
Table 2.
Characteristics of the explanatory variables.
Table 3.
Negative binomial regression results for mortality groups in 2008–2009.
Table 4.
Effect on variations in mortality of a unit increase in the value of predictors.
Table 5.
Interpretation of associations between primary care predictors and mortality rates for combined model using a generalized estimating equations approach.