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Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data

Author(s): Bhandari PM; Levis B; Neupane D; Patten SB; Shrier I; Thombs BD; Benedetti A;

Objective: To evaluate, across multiple sample sizes, the degree that data-driven methods result in (1) optimal cutoffs different from population optimal cutoff and (2) bias in accuracy estimates. Study design and setting: A total of 1,000 samples of sampl ...

Article GUID: 33838273


Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis

Author(s): Thombs BD; Levis B; Lyubenova A; Neupane D; Negeri Z; Wu Y; Sun Y; He C; Krishnan A; Vigod SN; Bhandari PM; Imran M; Rice DB; Azar M; Chiovi ...

Objective: The Maternal Mental Health in Canada, 2018/2019, survey reported that 18% of 7,085 mothers who recently gave birth reported "feelings consistent with postpartum depression" based on scor ...

Article GUID: 33104415


Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis

Author(s): Lyubenova A; Neupane D; Levis B; Wu Y; Sun Y; He C; Krishnan A; Bhandari PM; Negeri Z; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Rie ...

Objectives: Estimates of depression prevalence in pregnancy and postpartum are based on the Edinburgh Postnatal Depression Scale (EPDS) more than on any other method. We aimed to determine if any E ...

Article GUID: 33089942


Protocol for a partially nested randomised controlled trial to evaluate the effectiveness of the scleroderma patient-centered intervention network COVID-19 home-isolation activities together (SPIN-CHAT) program to reduce anxiety among at-risk scleroderma patients.

Author(s): Thombs BD, Kwakkenbos L, Carrier ME, Bourgeault A, Tao L, Harb S, Gagarine M, Rice D, Bustamante L, Ellis K, Duchek D, Wu Y, Bhandari PM, Ne ...

J Psychosom Res. 2020 May 14;135:110132 Authors: Thombs BD, Kwakkenbos L, Carrier ME, Bourgeault A, Tao L, Harb S, Gagarine M, Rice D, Bustamante L, Ellis K, Duchek D, Wu Y, Bhandari PM, Neupane D ...

Article GUID: 32521358


Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

Author(s): Levis B; Benedetti A; Ioannidis JPA; Sun Y; Negeri Z; He C; Wu Y; Krishnan A; Bhandari PM; Neupane D; Imran M; Rice DB; Riehm KE; Saadat N; ...

Objectives: Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores =10 are nonetheless often used to estimate depression prevalence. ...

Article GUID: 32105798


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 of 73 primary studies

Author(s): Wu Y; Levis B; Sun Y; Krishnan A; He C; Riehm KE; Rice DB; Azar M; Yan XW; Neupane D; Bhandari PM; Imran M; Chiovitti MJ; Saadat N; Boruff J ...

Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or ...

Article GUID: 31911325


Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis

Author(s): Levis B; McMillan D; Sun Y; He C; Rice DB; Krishnan A; Wu Y; Azar M; Sanchez TA; Chiovitti MJ; Bhandari PM; Neupane D; Saadat N; Riehm KE; I ...

Objectives: A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for dep ...

Article GUID: 31568624


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