scholarly journals Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback

2017 ◽  
Author(s):  
Isabella Choi ◽  
David N Milne ◽  
Mark Deady ◽  
Rafael A Calvo ◽  
Samuel B Harvey ◽  
...  
Keyword(s):  
Mental Health ◽  
Randomized Trial ◽  
Help Seeking ◽  
Health Screening ◽  
Mental Health Screening ◽  
Online Help

scholarly journals Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback

2018 ◽  
Vol 5 (2) ◽  
pp. e26 ◽  
Author(s):  
Isabella Choi ◽  
David N Milne ◽  
Mark Deady ◽  
Rafael A Calvo ◽  
Samuel B Harvey ◽  
...  
Keyword(s):  
Mental Health ◽  
Help Seeking ◽  
Health Screening ◽  
Mental Health Screening ◽  
Trial Registration ◽  
World Health ◽  
External Link ◽  
Online Help ◽  
External Resource ◽  
To Receive

Background Given the widespread availability of mental health screening apps, providing personalized feedback may encourage people at high risk to seek help to manage their symptoms. While apps typically provide personal score feedback only, feedback types that are user-friendly and increase personal relevance may encourage further help-seeking. Objective The aim of this study was to compare the effects of providing normative and humor-driven feedback on immediate online help-seeking, defined as clicking on a link to an external resource, and to explore demographic predictors that encourage help-seeking. Methods An online sample of 549 adults were recruited using social media advertisements. Participants downloaded a smartphone app known as “Mindgauge” which allowed them to screen their mental wellbeing by completing standardized measures on Symptoms (Kessler 6-item Scale), Wellbeing (World Health Organization [Five] Wellbeing Index), and Resilience (Brief Resilience Scale). Participants were randomized to receive normative feedback that compared their scores to a reference group or humor-driven feedback that presented their scores in a relaxed manner. Those who scored in the moderate or poor ranges in any measure were encouraged to seek help by clicking on a link to an external online resource. Results A total of 318 participants scored poorly on one or more measures and were provided with an external link after being randomized to receive normative or humor-driven feedback. There was no significant difference of feedback type on clicking on the external link across all measures. A larger proportion of participants from the Wellbeing measure (170/274, 62.0%) clicked on the links than the Resilience (47/179, 26.3%) or Symptoms (26/75, 34.7%) measures (χ2=60.35, P<.001). There were no significant demographic factors associated with help-seeking for the Resilience or Wellbeing measures. Participants with a previous episode of poor mental health were less likely than those without such history to click on the external link in the Symptoms measure (P=.003, odds ratio [OR] 0.83, 95% CI 0.02-0.44), and younger adults were less likely to click on the link compared to older adults across all measures (P=.005, OR 0.44, 95% CI 0.25-0.78). Conclusions This pilot study found that there was no difference between normative and humor-driven feedback on promoting immediate clicks to an external resource, suggesting no impact on online help-seeking. Limitations included: lack of personal score control group, limited measures of predictors and potential confounders, and the fact that other forms of professional help-seeking were not assessed. Further investigation into other predictors and factors that impact on help-seeking is needed. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12616000707460; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=370187 (Archived by WebCite at http://www.webcitation.org/6y8m8sVxr)

scholarly journals Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback (Preprint)

2017 ◽  
Author(s):  
Isabella Choi ◽  
David N Milne ◽  
Mark Deady ◽  
Rafael A Calvo ◽  
Samuel B Harvey ◽  
...  
Keyword(s):  
Mental Health ◽  
Help Seeking ◽  
Health Screening ◽  
Mental Health Screening ◽  
World Health ◽  
External Link ◽  
Online Help ◽  
External Resource ◽  
Significant Difference ◽  
To Receive

BACKGROUND Given the widespread availability of mental health screening apps, providing personalized feedback may encourage people at high risk to seek help to manage their symptoms. While apps typically provide personal score feedback only, feedback types that are user-friendly and increase personal relevance may encourage further help-seeking. OBJECTIVE The aim of this study was to compare the effects of providing normative and humor-driven feedback on immediate online help-seeking, defined as clicking on a link to an external resource, and to explore demographic predictors that encourage help-seeking. METHODS An online sample of 549 adults were recruited using social media advertisements. Participants downloaded a smartphone app known as “Mindgauge” which allowed them to screen their mental wellbeing by completing standardized measures on Symptoms (Kessler 6-item Scale), Wellbeing (World Health Organization [Five] Wellbeing Index), and Resilience (Brief Resilience Scale). Participants were randomized to receive normative feedback that compared their scores to a reference group or humor-driven feedback that presented their scores in a relaxed manner. Those who scored in the moderate or poor ranges in any measure were encouraged to seek help by clicking on a link to an external online resource. RESULTS A total of 318 participants scored poorly on one or more measures and were provided with an external link after being randomized to receive normative or humor-driven feedback. There was no significant difference of feedback type on clicking on the external link across all measures. A larger proportion of participants from the Wellbeing measure (170/274, 62.0%) clicked on the links than the Resilience (47/179, 26.3%) or Symptoms (26/75, 34.7%) measures (χ2=60.35, P<.001). There were no significant demographic factors associated with help-seeking for the Resilience or Wellbeing measures. Participants with a previous episode of poor mental health were less likely than those without such history to click on the external link in the Symptoms measure (P=.003, odds ratio [OR] 0.83, 95% CI 0.02-0.44), and younger adults were less likely to click on the link compared to older adults across all measures (P=.005, OR 0.44, 95% CI 0.25-0.78). CONCLUSIONS This pilot study found that there was no difference between normative and humor-driven feedback on promoting immediate clicks to an external resource, suggesting no impact on online help-seeking. Limitations included: lack of personal score control group, limited measures of predictors and potential confounders, and the fact that other forms of professional help-seeking were not assessed. Further investigation into other predictors and factors that impact on help-seeking is needed. CLINICALTRIAL Australian New Zealand Clinical Trials Registry ACTRN12616000707460; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=370187 (Archived by WebCite at http://www.webcitation.org/6y8m8sVxr)

scholarly journals Impact of Online Mental Health Screening Tools on Help-Seeking, Care Receipt, and Suicidal Ideation and Suicidal Intent: Evidence from Internet Search Behavior in a Large U.S. Cohort

2020 ◽  
Author(s):  
Nicholas C. Jacobson ◽  
Elad Yom-Tov ◽  
Damien Lekkas ◽  
Michael Heinz ◽  
Lili Liu ◽  
...  
Keyword(s):  
Mental Health ◽  
Suicidal Ideation ◽  
Help Seeking ◽  
Health Screening ◽  
Mental Health Screening ◽  
Screening Tools ◽  
Care Seeking ◽  
Suicidal Intent ◽  
The Impact ◽  
Psychoactive Medications

Introduction: Most people with psychiatric illnesses do not receive treatment for almost a decade after disorder onset. Online mental health screens reflect one mechanism designed to shorten this lag in help-seeking, yet there has been limited research on the effectiveness of screening tools in naturalistic settings. Material and methods: We examined a cohort of persons directed to a mental health screening tool via the Bing search engine (n=126,060). We evaluated the impact of tool content on later searches for mental health self-references, self-diagnosis, care seeking, psychoactive medications, suicidal ideation, and suicidal intent. Website characteristics were evaluated by pairs of independent raters to ascertain screen type and content. These included the presence/absence of a suggestive diagnosis, a message on interpretability, as well as referrals to digital treatments, in-person treatments, and crisis services. Results: Using machine learning models, the results suggested that screen content predicted later searches with mental health self-references (AUC =0·73), mental health self-diagnosis (AUC = 0·69), mental health care seeking (AUC = 0·61), psychoactive medications (AUC = 0·55), suicidal ideation (AUC = 0·58), and suicidal intent (AUC = 0·60). Cox-proportional hazards models suggested individuals utilizing tools with in-person care referral were significantly more likely to subsequently search for methods to actively end their life (HR = 1·727, p = 0·007). Discussion: Online screens may influence help-seeking behavior, suicidal ideation, and suicidal intent. Websites with referrals to in-person treatments could put persons at greater risk of active suicidal intent. Further evaluation using large-scale randomized controlled trials is needed.

Mental health screening system using intranet setting in a company.

1999 ◽  
Author(s):  
Minoru Arai ◽  
Daisuke Mori ◽  
Tetsu Kawamura ◽  
Hideo Fumimoto ◽  
Masagi Shimazaki ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Screening ◽  
Mental Health Screening ◽  
Screening System ◽  
A Company

Copenhagen Infant Mental Health Screening

2016 ◽  
Author(s):  
Janni Ammitzbøll ◽  
Bjørn E. Holstein ◽  
Lisbeth Wilms ◽  
Anette Andersen ◽  
Anne Mette Skovgaard
Keyword(s):  
Mental Health ◽  
Health Screening ◽  
Mental Health Screening ◽  
Infant Mental Health

scholarly journals POS1321 MENTAL HEALTH SCREENING IN PATIENTS WITH JUVENILE IDIOPATHIC ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 943.1-943
Author(s):  
S. Eulert ◽  
M. Niewerth ◽  
J. Hörstermann ◽  
C. Sengler ◽  
D. Windschall ◽  
...  
Keyword(s):  
Mental Health ◽  
Young People ◽  
Mental Health Problems ◽  
Functional Limitations ◽  
Health Problems ◽  
Health Screening ◽  
Mental Health Screening ◽  
Psychological Support ◽  
Web Based ◽  
Patient Health

Background:Mental disorders often begin in the vulnerable phase of adolescence and young adulthood. Young people with chronic diseases are particularly at risk. Early recognition of mental health problems is necessary in order to be able to support those affected in a timely and adequate manner. By implementing a web-based generic screening tool for mental health in routine care, patients with juvenile idiopathic arthritis (JIA) and mental health conditions can be identified and provided with targeted treatment.Objectives:To investigate the prevalence of mental health conditions in young people with JIA in routine rheumatology care.Methods:Mental health screening is implemented as an add-on module to the National Paediatric Rheumatology Database (NPRD). The current data was gathered over a period of 24 months. Patients complete the screening tool which includes the Patient Health Questionnaire1 (PHQ-9, score 0-27) and the Generalized Anxiety Disorder scale2 (GAD-7, score 0-21) via a web-based questionnaire. The cut-off for critical values in PHQ-9 and GAD-7 were defined as values ≥ 10. Simultaneously, other data, such as sociodemographic data, disease activity (cJADAS10, score 0-30), functional status (CHAQ, score 0-3) were collected as well.Results:The analysis included 245 patients (75% female) with a mean age of 15.7 years and a mean disease duration of 8.8 years. 38.8% of the patients had oligoarthritis (18.0% OA, persistent/20.8% OA, extended) and 23.3% RF negative polyarthritis. At the time of documentation 49 patients (30.6%) had an inactive disease (cJADAS10 ≤ 1) and 120 (49.4%) no functional limitations (CHAQ = 0). In total, 53 patients (21.6%) had screening values in either GAD-7 or PHD-9 ≥10. Patients with critical mental health screening values showed higher disease activity and more frequent functional limitations than inconspicuous patients (cJADAS10 (mean ± SD): 9.3 ± 6 vs. 4.9 ± 4.9; CHAQ: 0.66 ± 0.6 vs. 0.21 ± 0.42). When compared to males, females were significantly more likely to report either depression or anxiety symptoms (11.7% vs. 24.9%, p = 0.031).17.6% of all patients with valid items for these data reported to receive psychological support, meaning psychotherapeutic support (14.5%) and/or drug therapy (8.6%). Among those with a critical mental health screening score, 38.7% received psychological support (psychotherapeutic support (35.5%) and/or drug therapy (16.1%)).Conclusion:Every fifth young person with JIA reported mental health problems, however, not even every second of them stated to receive psychological support. The results show that screening for mental health problems during routine adolescent rheumatology care is necessary to provide appropriate and targeted support services to young people with a high burden of illness.References:[1]Löwe B, Unützer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care. 2004 Dec;42(12):1194-201.[2]Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22; 166(10):1092-7.[3]The screening data were collected as part of COACH (Conditions in Adolescents: Implementation and Evaluation of Patient-centred Collaborative Healthcare), a project supported by the Federal Ministry of Education and Research (FKZ: 01GL1740F).Disclosure of Interests:Sascha Eulert: None declared, Martina Niewerth: None declared, Jana Hörstermann: None declared, Claudia Sengler: None declared, Daniel Windschall: None declared, Tilmann Kallinich: None declared, Jürgen Grulich-Henn: None declared, Frank Weller-Heinemann Consultant of: Pfizer, Abbvie, Sobi, Roche, Novartis, Ivan Foeldvari Consultant of: Gilead, Novartis, Pfizer, Hexal, BMS, Sanofi, MEDAC, Sandra Hansmann: None declared, Harald Baumeister: None declared, Reinhard Holl: None declared, Doris Staab: None declared, Kirsten Minden: None declared

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