Individual and population level estimates of work loss and related economic costs due to mental and substance use disorders in Metropolitan São Paulo, Brazil

França, Mariane Henriques; Pereira, Flávia Garcia; Wang, Yuan‐Pang; Andrade, Laura Helena; Alonso, Jordi; Viana, María Carmen

doi:10.1016/j.jad.2021.09.070

Cited by 4 publications

(1 citation statement)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, it is frequently observed a great time lag in seeking professional help after the first onset of psychiatric manifestations, usually leading to aggravation of clinical outcomes. In this context, short screening tools to identify symptoms of mood disorders can play an important role in an earlier detection of cases in non‐psychiatric settings, leading to early diagnosis and treatment, contributing to reduce individual suffering and societal costs, and improve the overall mental health care of the population (França, Wang, et al, 2022; França, Pereira, et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

The performance of K6 as a screening tool for mood disorders: A population‐based study of the São Paulo metropolitan area

Bruzeguini,

Corassa,

Wang

et al. 2023

Early Intervention Psych

Self Cite

View full text Add to dashboard Cite

AimThe use of screening instruments allows the detection of psychological and behavioural manifestations there are often not identified in users of health services. We evaluated the performance of the Kessler Psychological Distress Scale (K6) in identifying mood disorders (MD), using the Composite International Diagnostic Interview (CIDI) as gold‐standard, in a population‐based sample (n = 5037) of adult residents of metropolitan São Paulo.MethodsSensitivity, specificity, positive and negative predictive values, and accuracy were calculated to assess the performance of K6 in detecting 30‐day CIDI MD. All cut‐points for each disorder were analysed using the Youden index and the area under the receiver operating characteristic curve (AUC), and the best cut‐points were identified. Cronbach's alpha was calculated to assess internal consistency.ResultsIn total, 5.5% respondents screened positive for any MD (95% IC 4.84–6.14). A good detection performance was observed for all MD, with AUC values for any MD of 0.91 (95% IC 0.89–0.92), ranging from 0.80 (95% CI 0.71–0.98) for minor depression to 0.93 (95% CI 0.87–0.98) for bipolar I disorder. Best cut‐points for each MD were identified, with overall sensitivity and specificity of 88.8% and 80.2%, respectively. Cronbach's alpha was 0.83.ConclusionsK6 is a good screening tool for MD in the Brazilian population. It is a brief and easy to use instrument that can promote the early identification and treatment of MD, reducing the burden of mental illness.

show abstract

Section: Introductionmentioning

confidence: 99%