Previous study on socio-economic status measurement construct measuring components or variables based on theoretical view of socio-economic stand of an individual or community [1, 2].
Health status measurement instruments include HR-PROs, performance based measures, clinical ratings, etc.
Socio-economic status measurement is an ongoing problem, where different studies had been made to measure it as a single measured variable, several single measured variables, or as a composite of several measured variables.
The FPIR-to HOMA-IR ratio is actually a composite oFPIR-to HOMA-IRs: two FPIR-to HOMA-IRo deteratio FPis actuallysting status measurement to determine HOMA-IR.
Questionnaires included a generic health status measurement instrument, the SF-36 [ 63- 65], a generic utility measure (the Health Utilities Index Mark II/III) [ 66- 68], a disease-specific functional measure targeted to patients with lower extremity fractures (Short Musculoskeletal Function Assessment measure, SMFA) [ 69, 70] and a tibial knee pain questionnaire.
Questionnaires include a generic health status measurement instrument (SF-12), hip function questionnaires (HOS, iHOT-12), a health utility measure (EQ-5D), and urinary (ICIQ-MLUTS/FLUTS) and sexual function questionnaires (IIEF/FSFI) [ 26, 28- 31, 41- 45].
However, socio-economic status measurement is still ongoing problem.
Socio-economic status measurement is an ongoing problem where different suggested measurements are given by researchers.
Principal component analysis, factor analysis and cluster analysis are used in determining principal factor of socio-economic status measurement and clustering African countries based on those factors.
This work investigates a socio-economic status measurement derived from natural correlations of variables which can better and meaningfully cluster African countries for the level of status.
Objective Our purpose was to determine the efficacy of health status measurement in quantifying improvements in quality of care provided by an "angina clinic".
