How to Analyze Palliative Care Outcome Data for Patients in Sub-Saharan Africa: An International, Multicenter, Factor Analytic Examination of the APCA African POS

ContextThe incidence of life-limiting progressive disease in sub-Saharan Africa presents a significant clinical and public health challenge. The ability to easily measure patient outcomes is essential to improving care.ObjectivesThe present study aims to determine the specific factors (if any) that underpin the African Palliative Care Association African Palliative Outcome Scale to assist the analysis of data in routine clinical care and audit.MethodsUsing self-reported data collected from patients with HIV infection in eastern and southern Africa, an exploratory factor analysis was undertaken with 1337 patients; subsequently, a confirmatory analysis was done on two samples from separate data sets (n = 445).ResultsUsing exploratory factor analysis initially, both two- and three-factor solutions were examined and found to meet the criteria for simple structure and be readily interpretable. Then using confirmatory factor analysis on two separate samples, the three-factor solution demonstrated better fit, with Goodness-of-Fit Index values greater than 0.95 and Normative Fit Index values close to 0.90. The resulting three factors were 1) physical and psychological well-being, 2) interpersonal well-being, and 3) existential well-being.ConclusionThis analysis presents an important new opportunity in the analysis of outcome data for patients with progressive disease. It has advantages over both the total scoring of multidimensional scaling (which masks differences between domains) and of item scoring (which requires repeated analyses). The three factors map well onto the underlying concept and clinical goals of palliative care, and will enable audit of facility care.