VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care

Rev. saúde pública (Online); 53 (), 2019
Publication year: 2019

ABSTRACT OBJECTIVE:

To determine Vulnerable Elders Survey (VES-13) and WHOQOL-bref cutoff points to detect poor quality of life (QoL) in older individuals.

METHODS:

This is a cross-sectional study, performed in all primary health care units in Samambaia, DF, Brazil. The data were collected from August 2016 to May 2017. The sample size of 466 older individuals treated in primary health care was obtained considering a 5% margin of error, 95% confidence level, 50% prevalence, and 20% possible losses, in a population of 13,259 older individuals. The subjects answered the VES-13 and WHOQOL-bref questionnaires.

They were divided into 3 subgroups:

poorQoL (older individuals with self-reported very poor or poor QoL AND very dissatisfied or dissatisfied with their health), goodQoL (very good or good QoL AND very satisfied or satisfied with Health) and indeterminateQoL (NOT belonging to poorQoL or goodQoL subgroups). A receiver-operating characteristic (ROC) curve was performed with poorQoL (case) versus goodQoL (control) to determine the cutoff score in VES-13 and WHOQOL-bref. A diagnostic test using these cutoffs was carried out in all older individuals (n = 466).

RESULTS:

The VES-13 and WHOQOL-bref cutoff points to detect poorQoL were ≥ 2 and < 60, respectively. The area under ROC curve of VES-13 and WHOQOL-bref was 0.741 (CI95% 0.659-0.823; p < 0.001) and 0.934 (CI95% 0.881-0.987; p < 0.001), respectively. In diagnostic tests, VES-13 showed 84% sensitivity and 98.2% negative predictive value, and WHOQOL-bref, 88% sensitivity and 99% negative predictive value.

CONCLUSIONS:

VES-13 score ≥ 2 and WHOQOL-bref score < 60 adequately detected poorQoL in patients treated in primary health care. Our data suggest that older individuals with these scores require special treatment such as geriatrics collaborative care to improve this scenario, considering QoL impact on mortality.

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