4.4 A COMPREHENSIVE TREATMENT PROGRAM FOR PERINATAL MOOD AND ANXIETY DISORDERS: IMPLEMENTATION OF MOTHER–INFANT THERAPY GROUP

2016 ◽  
Vol 55 (10) ◽  
pp. S7
Author(s):  
Jennifer Paul
Keyword(s):  
Anxiety Disorders ◽  
Treatment Program ◽  
Therapy Group ◽  
Comprehensive Treatment ◽  
Mood And Anxiety Disorders

scholarly journals Process Evaluation of a Treatment Program for Mood and Anxiety Disorders Among Emerging Adults: Preentry Factors, Engagement, and Outcomes

2019 ◽  
Vol 70 (3) ◽  
pp. 211-218
Author(s):  
Elizabeth Osuch ◽  
Evelyn Vingilis ◽  
Carolyn Summerhurst ◽  
Jazzmin Demy ◽  
Michael Wammes ◽  
...  
Keyword(s):  
Anxiety Disorders ◽  
Emerging Adults ◽  
Process Evaluation ◽  
Treatment Program ◽  
Mood And Anxiety Disorders

Hierarchical Models of Mood and Anxiety Disorders and the Role of Temperament

2011 ◽  
Author(s):  
D. Ryan Hooper ◽  
Michael J. Ross ◽  
Jillon S. Vander Wal ◽  
Terri L. Weaver
Keyword(s):  
Anxiety Disorders ◽  
Hierarchical Models ◽  
Mood And Anxiety Disorders

Getting better my way: Feasibility study of a self-management support tool for people with mood and anxiety disorders.

2019 ◽  
Vol 42 (2) ◽  
pp. 158-168
Author(s):  
Janie Houle ◽  
Stephanie Radziszewski ◽  
Préscilla Labelle ◽  
Simon Coulombe ◽  
Matthew Menear ◽  
...  
Keyword(s):  
Anxiety Disorders ◽  
Feasibility Study ◽  
Self Management ◽  
Management Support ◽  
Support Tool ◽  
Mood And Anxiety Disorders

Mood and Anxiety Disorders in Children and Adolescents

2001 ◽  
Author(s):  
David J. Nutt ◽  
Caroline Bell ◽  
Christine Masterson ◽  
Clare Short
Keyword(s):  
Anxiety Disorders ◽  
Children And Adolescents ◽  
Mood And Anxiety Disorders

Factors associated with initiation of community‐based therapy for emerging adults with mood and anxiety disorders

2020 ◽  
Author(s):  
Hailey Saunders ◽  
Elizabeth Osuch ◽  
Kelly Anderson ◽  
Janet Martin ◽  
Abraham Kunnilathu ◽  
...  
Keyword(s):  
Anxiety Disorders ◽  
Emerging Adults ◽  
Community Based ◽  
Factors Associated ◽  
Mood And Anxiety Disorders

scholarly journals A Bayesian approach to estimating the population prevalence of mood and anxiety disorders using multiple measures

2021 ◽  
Vol 30 ◽  
Author(s):  
Jordan Edwards ◽  
A. Demetri Pananos ◽  
Amardeep Thind ◽  
Saverio Stranges ◽  
Maria Chiu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Anxiety Disorders ◽  
Administrative Data ◽  
Population Based ◽  
Accurate Estimate ◽  
Service Planning ◽  
Prevalence Estimate ◽  
Population Prevalence ◽  
Mood And Anxiety Disorders ◽  
Prevalence Estimates

Abstract Aims There is currently no universally accepted measure for population-based surveillance of mood and anxiety disorders. As such, the use of multiple linked measures could provide a more accurate estimate of population prevalence. Our primary objective was to apply Bayesian methods to two commonly employed population measures of mood and anxiety disorders to make inferences regarding the population prevalence and measurement properties of a combined measure. Methods We used data from the 2012 Canadian Community Health Survey – Mental Health linked to health administrative databases in Ontario, Canada. Structured interview diagnoses were obtained from the survey, and health administrative diagnoses were identified using a standardised algorithm. These two prevalence estimates, in addition to data on the concordance between these measures and prior estimates of their psychometric properties, were used to inform our combined estimate. The marginal posterior densities of all parameters were estimated using Hamiltonian Monte Carlo (HMC), a Markov Chain Monte Carlo technique. Summaries of posterior distributions, including the means and 95% equally tailed posterior credible intervals, were used for interpretation of the results. Results The combined prevalence mean was 8.6%, with a credible interval of 6.8–10.6%. This combined estimate sits between Bayesian-derived prevalence estimates from administrative data-derived diagnoses (mean = 7.4%) and the survey-derived diagnoses (mean = 13.9%). The results of our sensitivity analysis suggest that varying the specificity of the survey-derived measure has an appreciable impact on the combined posterior prevalence estimate. Our combined posterior prevalence estimate remained stable when varying other prior information. We detected no problematic HMC behaviour, and our posterior predictive checks suggest that our model can reliably recreate our data. Conclusions Accurate population-based estimates of disease are the cornerstone of health service planning and resource allocation. As a greater number of linked population data sources become available, so too does the opportunity for researchers to fully capitalise on the data. The true population prevalence of mood and anxiety disorders may reside between estimates obtained from survey data and health administrative data. We have demonstrated how the use of Bayesian approaches may provide a more informed and accurate estimate of mood and anxiety disorders in the population. This work provides a blueprint for future population-based estimates of disease using linked health data.

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