To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Suicide remains a major global public health concern, and crisis helplines are increasingly recognised as important components of suicide prevention. The National Mental Health Helpline (NMHH) in Qatar was established in 2020 as a confidential, multilingual service designed to provide rapid assessment and intervention for individuals experiencing mental health crisis, including suicidality.
Aims
To identify independent factors associated with high-risk triage categorisation and in-patient admission among callers to Qatar’s NMHH over a 3-year period and to describe their sociodemographic and clinical profiles.
Method
A 3-year cross-sectional chart review using stratified random sampling analysed 698 cases representing low-, moderate- and high-priority categories. Assessments were conducted using the Australian State of Victoria’s Statewide Mental Health Triage Scale, supported by clinical assessment, the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7 scale, and the Situation, Background, Assessment and Recommendation (SBAR) framework. Logistic regression analyses were performed to identify predictors of high-risk categorisation and in-patient admission.
Results
During the study period, 50 803 calls were received. The analytic sample was evenly distributed by gender (50.1% female), with a median age of 29 years, and 75.9% were non-Qatari. Common symptoms included disturbed sleep (47%), anxiety (43%) and depressed mood (36%). Female gender, severe mental illness, impulsivity and suicidal ideation independently predicted high-risk triage categorisation; emotional instability, disturbed appetite, impulsivity, suicidal ideation and social isolation predicted in-patient admission.
Conclusions
Structured crisis lines/helplines can effectively deliver suicide risk assessment and intervention within national health systems. The NMHH model demonstrates the potential of integrated helpline services to identify high-risk individuals, facilitate timely intervention and support community-based management.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.