Figure 1 suggests a positive correlation between Ri and Ci among the facility groups.
However, when examined together with Table 2, it becomes apparent that there are several differences between Ri and Ci in describing the functions of the six facility groups.
Boyd and Richerson (2009), for example, have argued that cultural inheritance promotes the existence of between-group differences, and thereby facilities group selection.
On the other hand, the difference in the estimated probability to belong to high expenditures group between facility services users and other LTC services users is 35.2% when subjects belong to high care needs level.
After group and baseline covariates were entered, between-facility variance fell to 4.59 (ICC =0.11) and between-subject variance fell to 22.24 (ICC =0.65).
After group and baseline covariates were entered, between-facility variance was virtually zero, and subsequent models were estimated as two-level (versus three-level) models.
Univariate statistics were first conducted to compare the profile of participants between the home delivery and facility delivery groups.
Poor organization of emergency medical services, including the lack of government regulation, absence of uniform treatment protocols, improper system management, and poor triaging and routing of patients between facilities, also dominated the focus group discussions.
To study differences between providers by cadre, all staff of a particular cadre irrespective of the type of facility were grouped for comparison.
This longer ventilation period allowed sufficient time to evaluate overall patient care management techniques and practice patterns and assured a more homogeneous group of patients between facilities and across time.
This study was a large community-based cross-sectional study with adequate power to detect important differences in facility delivery between different groups.
