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Study was not initiated because it was not approved by KPSC IRB.
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We will investigate the association between social media use and depression in adolescents admitted to a psychiatric unit and continue to follow their progress after discharge in outpatient clinic services. We expect improvement in their depressive symptoms by modifying social media use and adding a mental health app to further encourage the positive effects of social media.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Treatment As Usual | Placebo Comparator | Standard of care as usual with follow-up at 1-, 3-, and 6-months |
|
| Intervention with CBT Mobile App | Active Comparator | Treatment as usual with additional treatment using cognitive behavioral therapy (CBT) mobile apps (ie What's Up?) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| CBT Mobile App | Behavioral | TAU and the additional treatment of a Mental Health App (What's Up?). This app will be used to guide adolescents through cognitive behavioral therapy and acceptance commitment therapy techniques, as well as to assist in developing coping mechanisms to prevent readmission. |
| Measure | Description | Time Frame |
|---|---|---|
| Comparing depression scale,PHQ9-A (Patient Health Questionnaire, Adolescent Version), with social media use | Compare presence and severity of depressive symptoms in treatment as usual (TAU) group with TAU and the mobile app intervention group. The presence and severity of depression will be determined using the PHQ9-A (Patient Health Questionnaire, adolescent version), a 9-question depression scale that is based on the DSM-IV diagnostic criteria of depression and modified for teens to further inquire about other aspects of depression such as dysthymia, suicide risk, and other mental illnesses. The PHQ-9A scores each of the DSM-IV criteria as "0" (not at all) to "3" (nearly every day). Total depression severity score ranges of 0-4 none, 5-9 mild, 10-14 moderate, 15-19 moderately severe, 20-27 severe. | 1 month |
| Comparing depression scale,PHQ9-A (Patient Health Questionnaire, Adolescent Version), with social media use | Compare presence and severity of depressive symptoms in treatment as usual (TAU) group with TAU and the mobile app intervention group. The presence and severity of depression will be determined using the PHQ9-A (Patient Health Questionnaire, adolescent version), a 9-question depression scale that is based on the DSM-IV diagnostic criteria of depression and modified for teens to further inquire about other aspects of depression such as dysthymia, suicide risk, and other mental illnesses. The PHQ-9A scores each of the DSM-IV criteria as "0" (not at all) to "3" (nearly every day). Total depression severity score ranges of 0-4 none, 5-9 mild, 10-14 moderate, 15-19 moderately severe, 20-27 severe. | 3 months |
| Comparing depression scale,PHQ9-A (Patient Health Questionnaire, Adolescent Version), with social media use | Compare presence and severity of depressive symptoms in treatment as usual (TAU) group with TAU and the mobile app intervention group. The presence and severity of depression will be determined using the PHQ9-A (Patient Health Questionnaire, adolescent version), a 9-question depression scale that is based on the DSM-IV diagnostic criteria of depression and modified for teens to further inquire about other aspects of depression such as dysthymia, suicide risk, and other mental illnesses. The PHQ-9A scores each of the DSM-IV criteria as "0" (not at all) to "3" (nearly every day). Total depression severity score ranges of 0-4 none, 5-9 mild, 10-14 moderate, 15-19 moderately severe, 20-27 severe. |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Canyon Ridge Hospital | Chino | California | 91710 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25192305 | Background | Pantic I. Online social networking and mental health. Cyberpsychol Behav Soc Netw. 2014 Oct;17(10):652-7. doi: 10.1089/cyber.2014.0070. Epub 2014 Sep 5. | |
| 22401525 | Background | Luxton DD, June JD, Fairall JM. Social media and suicide: a public health perspective. Am J Public Health. 2012 May;102 Suppl 2(Suppl 2):S195-200. doi: 10.2105/AJPH.2011.300608. Epub 2012 Mar 8. |
| Label | URL |
|---|---|
| Teens, Social Media \& Technology 2018 | View source |
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All data will be collected by trained study personnel, and each study participant will be assigned a unique study number. Data will be de-identified after collection and hard copies of data will be stored in a locked cabinet in the investigator's office. We are considering options to share de-identified data.
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| ID | Term |
|---|---|
| D003863 | Depression |
| D000294 | Adolescent Behavior |
| ID | Term |
|---|---|
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D013812 | Therapeutics |
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| Treatment as usual | Behavioral | TAU as per standard of care |
|
| 6 months |
| 28194117 | Background | Banos RM, Etchemendy E, Mira A, Riva G, Gaggioli A, Botella C. Online Positive Interventions to Promote Well-being and Resilience in the Adolescent Population: A Narrative Review. Front Psychiatry. 2017 Jan 30;8:10. doi: 10.3389/fpsyt.2017.00010. eCollection 2017. |
| Social media and young people's mental health and wellbeing | View source |