Background
Depression carries significant financial, medical, and emotional burden on modern society. Various proof-of-concept studies have highlighted how apps can link dynamic mental health status changes to fluctuations in smartphone usage in adult patients with major depressive disorder (MDD). However, the use of such apps to monitor adolescents remains a challenge.
Objective
This study aimed to investigate whether smartphone apps are useful in evaluating and monitoring depression symptoms in a clinically depressed adolescent population compared with the following gold-standard clinical psychometric instruments: Patient Health Questionnaire (PHQ-9), Hamilton Rating Scale for Depression (HAM-D), and Hamilton Anxiety Rating Scale (HAM-A).
Methods
We recruited 13 families with adolescent patients diagnosed with MDD with or without comorbid anxiety disorder. Over an 8-week period, daily self-reported moods and smartphone sensor data were collected by using the Smartphone- and OnLine usage–based eValuation for Depression (SOLVD) app. The evaluations from teens’ parents were also collected. Baseline depression and anxiety symptoms were measured biweekly using PHQ-9, HAM-D, and HAM-A.
Results
We observed a significant correlation between the self-evaluated mood averaged over a 2-week period and the biweekly psychometric scores from PHQ-9, HAM-D, and HAM-A (0.45≤|r|≤0.63; P=.009, P=.01, and P=.003, respectively). The daily steps taken, SMS frequency, and average call duration were also highly correlated with clinical scores (0.44≤|r|≤0.72; all P<.05). By combining self-evaluations and smartphone sensor data of the teens, we could predict the PHQ-9 score with an accuracy of 88% (23.77/27). When adding the evaluations from the teens’ parents, the prediction accuracy was further increased to 90% (24.35/27).
Conclusions
Smartphone apps such as SOLVD represent a useful way to monitor depressive symptoms in clinically depressed adolescents, and these apps correlate well with current gold-standard psychometric instruments. This is a first study of its kind that was conducted on the adolescent population, and it included inputs from both teens and their parents as observers. The results are preliminary because of the small sample size, and we plan to expand the study to a larger population.
This study sought to translate and validate the Hopkins Symptom Checklist-25 (HSCL) and the Harvard Trauma Questionnaire (HTQ) in a Tibetan population. Translated questionnaires were administered to 57 Tibetan survivors of torture/human rights abuses living in the United States and receiving services in a torture treatment program. Participants were evaluated to determine if they met criteria for major depressive episode, generalized anxiety disorder, or posttraumatic stress disorder (PTSD). Coefficient alpha for the HSCL Anxiety subscale (.89), Depression subscale (.92), and the HTQ (.89) were high. Diagnostic accuracy using receiver operating characteristic curve analysis generated good classification accuracy for anxiety (.89), depression (.92), and PTSD (.83). However, although sensitivity and specificity for HSCL subscales were quite high, the HTQ generated low sensitivity (.33), partly because of a low rate of PTSD. Results support the reliability and validity of the HSCL but suggest further study of the HTQ with this population is required.
More residents reported that they screen for trauma after the curriculum. An ongoing development and evaluation of model curricula including possible expansion across specialties and health-care disciplines is warranted for this critically important topic area.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.