Interpreting the psychometric properties of the components of primary care instrument in an elderly population.

Objective: To determine the psychometric properties of the Components of Primary Care Instrument (CPCI) in a patient population aged 65 or older.

Materials And Methods: 795 participants in the OKLAHOMA Studies, a longitudinal population-based study of predominantly Caucasian, elderly patients, completed the CPCI. Reliability analysis and confirmatory factor analysis were done to provide psychometric properties for this elderly sample.

Does patient assessment of the quality of the primary care they receive predict subsequent outcomes?: An Oklahoma Physicians Resource/Research Network (OKPRN) study.

Background: We analyzed data from a cohort of 782 older patients assembled in 1999 to 2000 to determine whether their baseline assessments of the quality of their primary care measured using the Components of Primary Care Index (CPCI) were associated with subsequent changes in health-related quality of life and/or survival.

Methods: Longitudinal growth curve models were used to analyze changes in Quality of Well-Being scores over an average of 2.07 years.

Does patient assessment of the quality of the primary care they receive predict subsequent outcomes? An Oklahoma Physicians Resource/Research Network (OKPRN) study.

Introduction: We analyzed data from a cohort of 782 older patients assembled in 1999 to 2000 to determine whether baseline patient assessments of the quality of the primary care services they had received, measured using the Components of Primary Care Index (CPCI), were associated with subsequent changes in health-related quality of life (HRQoL) and/or survival.

Methods: Longitudinal growth curve models were used to analyze changes in Quality of Well-Being (QWB-SA) scores over an average (S.D.