scholarly journals A Brief Web-Based Screening Questionnaire for Common Mental Disorders: Development and Validation

2009 ◽  
Vol 11 (3) ◽  
pp. e19 ◽  
Author(s):  
Tara Donker ◽  
Annemieke van Straten ◽  
Isaac Marks ◽  
Pim Cuijpers
Keyword(s):  
Mental Disorders ◽  
Common Mental Disorders ◽  
Web Based ◽  
Screening Questionnaire ◽  
Development And Validation

Internet-Based Screening for Suicidal Ideation in Common Mental Disorders

Crisis ◽  
2012 ◽  
Vol 33 (4) ◽  
pp. 215-221 ◽  
Author(s):  
Esther Hemelrijk ◽  
Wouter van Ballegooijen ◽  
Tara Donker ◽  
Annemieke van Straten ◽  
Ad Kerkhof
Keyword(s):  
Suicidal Ideation ◽  
Mental Disorders ◽  
Stress Disorder ◽  
Common Mental Disorders ◽  
Self Report ◽  
Regression Analyses ◽  
Suicidal Risk ◽  
Web Based ◽  
Sample Method ◽  
And Behavior

Background: Common mental disorders have been found to be related to suicidal ideation and behavior. Research in the field of web-based interventions for common mental disorders, however, usually excludes participants with a suicidal risk, although a large proportion of participants might suffer from suicidal ideation. Aims: To investigate the prevalence of suicidal ideation in common mental disorders in an online sample. Method: In total, 502 participants completed nine web-based questionnaires on common mental disorders, of which 120 were also interviewed by telephone to obtain a diagnosis. Logistic regression analyses were applied to investigate associations between disorders and suicidal ideation. Results: Based on web-based self-report, 53% of participants had some form of suicidal ideation. Fewer participants reported suicidal ideation during the interview by telephone. Depression (multivariate odds ratio 7.1), generalized anxiety disorder (2.1), social phobia (2.1), and posttraumatic stress disorder (1.7) were significantly associated with suicidal ideation, while a higher number of comorbid common mental disorders increased the risk. Conclusion: Researchers and clinicians should be aware that one out of every two helpseekers on the internet with common mental disorders may have suicidal ideation. Comorbidity of two or more disorders greatly increase the risk of suicidal ideation.

scholarly journals Smoking and common mental disorders in patients with chronic conditions: An analysis of data collected via a web-based screening system

2017 ◽  
Vol 45 ◽  
pp. 12-18 ◽  
Author(s):  
Faith Matcham ◽  
Amy Carroll ◽  
Natali Chung ◽  
Victoria Crawford ◽  
James Galloway ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Chronic Conditions ◽  
Common Mental Disorders ◽  
Screening System ◽  
Web Based

Psychometric analysis of Common Mental Disorders — Screening Questionnaire (CMD-SQ) in long-term sickness absence

2009 ◽  
Vol 37 (8) ◽  
pp. 855-863 ◽  
Author(s):  
Hans Jørgen Søgaard ◽  
Per Bech
Keyword(s):  
Mental Disorders ◽  
Sickness Absence ◽  
Common Mental Disorders ◽  
Danish Population ◽  
Promising Candidate ◽  
Screening Questionnaire ◽  
Validity Tests ◽  
One Year ◽  
State Examination

Aims: Mental disorders often go undetected in primary care, for persons awarded disability pension, and in sick-leave certificates. No validity tests of instruments for detection and measurement of mental disorders have been performed in long-term sickness absence (LSA). This is the aim of the present study for Common Mental Disorders — Screening Questionnaire (CMD-SQ). Methods: It is validity tested in a well-defined Danish population comprising all persons on continuous sickness absence just exceeding eight weeks. CMD-SQ is composed of SCL-SOM (somatization), Whiteley-7 (illness worry and conviction), SCL-ANX4 (anxiety), SCL-DEP6 (depression), SCL-8 (emotional disorder), and CAGE (alcohol dependency). Results: Of 2,414 incident persons on long-term sickness absence within one year, 1,121 participated in the study by filling in CMD-SQ and a subsample of 337 was diagnosed by a psychiatric examination including Present State Examination. Psychometric properties such as scalability and monotonicity, construct validity, and predictive validity were analyzed. Further change over time was analyzed. SCL-SOM and Whiteley-7 showed slight psychometric and screening statistics whereas a combined scale of SC-ANX4, SCL-DEP6, and SCL-8, called SCL-8AD, showed the best and excellent psychometric and screening statistics. Conclusions: SCL-8AD, a sub-scale of CMD-SQ, is a promising candidate for screening and measurement of mental disorders in long-term sickness absence.

E-health responses to common mental disorders in primary care: experiences with Ębeyondblue‘ and ĘSPHERE’

2002 ◽  
Vol 10 (3) ◽  
pp. 253-258 ◽  
Author(s):  
Ian Hickie ◽  
Tracey Davenport ◽  
Elizabeth Scott ◽  
Hugh Morgan
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Services ◽  
Mental Disorders ◽  
Health Services ◽  
Health Systems ◽  
General Practitioners ◽  
Support System ◽  
Common Mental Disorders ◽  
Web Based

Objective: To highlight opportunities for enhancing mental health services in primary care through utilisation of e-health systems. Specifically, an information-based website (provided by ‘beyondblue: the national depression initiative’) and a web-based support system for general practitioners (provided by ‘SPHERE: a national depression project’) are described. Conclusions: Recommendations regarding potential roles for e-health systems in association with Australian primary care are outlined.

scholarly journals Examining the effectiveness of a web-based intervention for symptoms of depression and anxiety in college students: study protocol of a randomised controlled trial

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e028739 ◽  
Author(s):  
Eirini Karyotaki ◽  
Anke M Klein ◽  
Heleen Riper ◽  
Leonore de Wit ◽  
Lisa Krijnen ◽  
...  
Keyword(s):  
College Students ◽  
Randomised Controlled Trial ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Controlled Trial ◽  
Tailored Intervention ◽  
Web Based ◽  
Symptoms Of Depression ◽  
Registration Number ◽  
Randomised Controlled

IntroductionThe college years are a peak period for the onset of common mental disorders. Poor mental health is associated with low academic attainment, physical, interpersonal and cognitive impairments. Universities can use online approaches to screen students for mental disorders and treat those in need. The present study aims to assess the effectiveness of a guided web-based transdiagnostic individually tailored intervention to treat students with symptoms of depression and/or anxiety.Methodsand analysisThe present study is a randomised controlled trial. Participants are Dutch college students (≥18 years) with mild to moderate depression and/or anxiety symptoms. The intervention is a guided web-based transdiagnostic individually tailored intervention that targets symptoms of depression and/or anxiety. The intervention consists of seven online sessions with a duration ranging from 4 to 7 weeks depending on individual progress. A booster session is administered 4 weeks after the completion of the seventh session. Primary outcome measures are the Patient Health Questionnaire for depression and the Generalised Anxiety Disorder 7-item scale for anxiety. These scales are administered at screening, post-treatment and follow-up assessments (6 and 12 months post-randomisation).Ethics and disseminationThe Medical Ethics Committee of the Vrije Universiteit Medical Centre has approved the protocol (registration number 2016.583, A2017.362andA2018.421). Results of the trial will be published in a peer-reviewed journal.Trial registration numberNTR6797; Pre-results.

Web Screening Questionnaire for Common Mental Disorders

2009 ◽  
Author(s):  
Tara Donker ◽  
Annemieke van Straten ◽  
Isaac Marks ◽  
Pim Cuijpers
Keyword(s):  
Mental Disorders ◽  
Common Mental Disorders ◽  
Screening Questionnaire

Collaborative care models for the management of mental disorders in primary care

2017 ◽  
Author(s):  
Christina van der Feltz-Cornelis ◽  
Harm van Marwijk ◽  
Leona Hakkaart-van Roijen
Keyword(s):  
General Practice ◽  
Mental Disorders ◽  
Collaborative Care ◽  
Somatoform Disorders ◽  
Common Mental Disorders ◽  
Decision Aids ◽  
National Level ◽  
Web Based ◽  
Care Models ◽  
Sustained Effort

This critical review sketches the principles of collaborative care models in general practice for treatment of common mental disorders, such as depressive, anxiety, or somatoform disorders. Such disorders may not be self-limiting and have a tendency to become chronic, and their treatment in the general-practice setting demands a change in organization of general practice according to a chronic care model, i.e. collaborative care. In collaborative care, at least two of the following three professionals work together to alleviate the mental health burden of the patient: the general practitioner (GP), the nurse care-manager (CM), and the consultant psychiatrist (CL). The model is commonly effective but it is also more expensive. The implementation of collaborative care depends on the availability of CMs and CLs, guidelines for psychiatric consultation, reimbursement, and adequate web-based decision aids for the professionals. Its structural implementation in general practice requires a sustained effort at national level.

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