ABSTRACT
Objective To apply the Chinese version of Care Partner-Frailty Index-Comprehensive Geriatric Assessment (CP-FI-CGA) in Taiyuan part of elderly patients and study theirs frailty conditions. Methods To Choose the Chinese version of CP-FI-CGA questionnaire, patients′ general information questionnaire and Clinical Frailty Scale to evaluate 385 patients and analyze the results statistically. Results Of 385 patients, female patients were 166 cases (43.12%);the frailty index score was (0.318 ± 0.165) points, the CFS was 5.044 ± 1.483. Single factor analysis showed that age, marital status, the kinds of medication which the patients used, how much help the patient required, the condition of social support, and the sleep state, these six factors had statistical significance (Z=-7.292, Z=-1.994, χ2=27.726, Z=-9.688,χ2=8.117,χ2=53.477, all P<0.01). Multiple linear regression analysis showed that age, the kinds of medication which the patients used, how much help the patient required and the sleep state, these four factors were independent factors (model R=0.610, R2=0.372; adjusted R2=0.362, F=37.241, P< 0.01). Conclusions CP-FI-CGA questionnaire can accurately estimate the frailty degree by evaluating patients′each system and can be promoted in the clinical geriatric ward and nursing home, etc.
ABSTRACT
Objective To apply the Chinese version of Care Partner-Frailty Index-Comprehensive Geriatric Assessment (CP-FI-CGA) in Taiyuan part of elderly patients and study theirs frailty conditions. Methods To Choose the Chinese version of CP-FI-CGA questionnaire, patients′ general information questionnaire and Clinical Frailty Scale to evaluate 385 patients and analyze the results statistically. Results Of 385 patients, female patients were 166 cases (43.12%);the frailty index score was (0.318 ± 0.165) points, the CFS was 5.044 ± 1.483. Single factor analysis showed that age, marital status, the kinds of medication which the patients used, how much help the patient required, the condition of social support, and the sleep state, these six factors had statistical significance (Z=-7.292, Z=-1.994, χ2=27.726, Z=-9.688,χ2=8.117,χ2=53.477, all P<0.01). Multiple linear regression analysis showed that age, the kinds of medication which the patients used, how much help the patient required and the sleep state, these four factors were independent factors (model R=0.610, R2=0.372; adjusted R2=0.362, F=37.241, P< 0.01). Conclusions CP-FI-CGA questionnaire can accurately estimate the frailty degree by evaluating patients′each system and can be promoted in the clinical geriatric ward and nursing home, etc.