Sample selection in the face of design constraints: Use of clustering to define sample strata for qualitative research.

ABSTRACT:

Objective

To sample 40 physician organizations stratified on the basis of longitudinal cost of care measures for qualitative interviews in order to describe the range of care delivery structures and processes that are being deployed to influence the total costs of caring for patients.

Data sources

Three years of physician organization-level total cost of care data (n = 156 in California) from the Integrated Healthcare Association's value-based pay-for-performance program.

Study design

We fit total cost of care data using mixture and K-means clustering algorithms to segment the population of physician organizations into sampling strata based on 3-year cost trajectories (ie, cost curves).

Principal findings

A mixture of multivariate normal distributions can class

SUBMITTER: Burgette LF 

PROVIDER: S-EPMC6407480 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature