https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49795 Wed 31 May 2023 15:25:08 AEST ]]> The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39521 Wed 27 Jul 2022 14:01:33 AEST ]]> Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51028 Wed 16 Aug 2023 10:09:34 AEST ]]> State of the climate in 2020 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54847 Fri 15 Mar 2024 17:00:44 AEDT ]]> Shortening self-report mental health symptom measures through optimal test assembly methods: development and validation of the patient health questionnaire-depression-4 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48160 r = 0.919). Conclusion: The PHQ-Dep-4 is a valid short form with minimal loss of information of scores when compared to the full-length PHQ-9. Although OTA methods have been used to shorten patient-reported outcome measures based on objective, prespecified criteria, further studies are required to validate this general procedure for broader use in health research. Furthermore, due to unexamined heterogeneity, there is a need to replicate the results of this study in different patient populations.]]> Fri 10 Mar 2023 13:44:39 AEDT ]]>