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Grant: Catalyst Grant: Personalized Health Catalyst Grants

Research Institute of the McGill University Health Centre

$200,000.00

Using Individual Patient Data Meta-Analyses to Develop Individual Prediction Models for Depression Screening

EF 2017-18

Résumé
Depression screening is controversial, and the Canadian Task Force on Preventive Health Care recommends against depression screening. A major concern is that depression screening tests are not sufficiently accurate. All existing studies have used a cutoff method, where all patients who score above the cutoff on a depression screening questionnaire are considered positive screens and possible cases, whereas those below the threshold are considered negative screens. This method is not accurate, and information from actual patient screening scores is lost by dichotomizing simply into positive and negative screens. Datasets collected in primary studies are too small for developing individual risk models for depression. We will use very large datasets (e.g., > 20,000 patients) that we have synthesized for screening with three commonly used screening tests, the Patient Health Questionnaire-9 (primary care settings), the Hospital Anxiety and Depression Scale (hospital settings and medically ill), and the Edinburgh Postnatal Depression Scale (perinatal care), to develop individual risk models. We will use actual screening questionnaire scores, along with patient demographic and medical characteristics, to estimate risk compared to a gold standard diagnostic interview. Results will be used to develop an easily accessible app for use in practice.
Programme
Catalyst Grant: Personalized Health Catalyst Grants
Emplacement
Quebec, Canada
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
365165
Name
Benedetti Andrea
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Health Services and Policy Research
Theme2
Health systems / services
Prcname2
Personalized Health - predictive analytic models
Projecttitle
Using Individual Patient Data Meta-Analyses to Develop Individual Prediction Models for Depression Screening
Programtype2
Operating Grants
Orgnameinp2
Research Institute of the McGill University Health Centre
Cihramount2
$200,000
Cihrequipment2
$0
Programname2
Catalyst Grant: Personalized Health Catalyst Grants
Keyworddelim
Depression; Individual Patient Data Meta-Analysis; Meta-Analysis; Personalized Risk Assessment; Screening
Abstract
Depression screening is controversial, and the Canadian Task Force on Preventive Health Care recommends against depression screening. A major concern is that depression screening tests are not sufficiently accurate. All existing studies have used a cutoff method, where all patients who score above the cutoff on a depression screening questionnaire are considered positive screens and possible cases, whereas those below the threshold are considered negative screens. This method is not accurate, and information from actual patient screening scores is lost by dichotomizing simply into positive and negative screens. Datasets collected in primary studies are too small for developing individual risk models for depression. We will use very large datasets (e.g., > 20,000 patients) that we have synthesized for screening with three commonly used screening tests, the Patient Health Questionnaire-9 (primary care settings), the Hospital Anxiety and Depression Scale (hospital settings and medically ill), and the Edinburgh Postnatal Depression Scale (perinatal care), to develop individual risk models. We will use actual screening questionnaire scores, along with patient demographic and medical characteristics, to estimate risk compared to a gold standard diagnostic interview. Results will be used to develop an easily accessible app for use in practice.
Competitiondate
201706
Approvedterm2
2 yrs 0 mth
Pinamesdelim
Benedetti, Andrea; Thombs, Brett D
Approvedterm
2 ans 0 mois
Cihrcontribution2
Inst of Cancer Research~ $932~ $0~Inst of Gender & Health~ $932~ $0~Inst of Hlth Serv & Policy Res~ $932~ $0~Institute of Aging~ $932~ $0~Institute of Genetics~ $932~ $0~Major Initiatives #3~ $195,340~ $0~