Table 2 Diagnostic performance of the frailty index in four sub-Saharan African countries

From: Determining frailty index thresholds for older people across multiple countries in sub-Saharan Africa

Country

Sample Size

AUC

Sensitivity

Specificity

Youden Index

Threshold

Standard Error (AUC)

95% CI (AUC)

Standard Error (Threshold)

95% CI (Threshold)

Kenya

783

0.92

0.94

0.72

0.66

0.32

0.010

(0.90 – 0.94)

0.0089

(0.34-0.38)

Ghana

3266

0.93

0.83

0.87

0.70

0.24

0.007

(0.92-0.94)

0.0087

(0.22-0.26)

Uganda

461

0.94

0.89

0.85

0.74

0.30

0.011

(0.92-0.97)

0.0148

(0.27-0.33)

Côte d’Ivoire

1017

0.91

0.89

0.77

0.66

0.32

0.009

(0.89-0.93)

0.01166

(0.29-0.34)

  1. Sensitivity and specificity values correspond to the optimal threshold identified using Youden’s Index. Standard errors and confidence intervals are reported for both AUC and threshold estimates. Threshold values reflect the frailty index cut-off that maximized the sum of sensitivity and specificity. The outcome variable was dependency in Activities of Daily Living (ADLs), operationalized as a binary variable: participants independent in all six ADLs were coded as 1 (independent), and those dependent in one or more ADLs were coded as 0 (dependent).
  2. AUC area under the curve, CI confidence interval.
Back to article page