86. Care trajectories of people with mood disorders in Quebec using latent class analysis and latent profile analysis methods
Invited abstract in session TB-2: Advances in Health Economics and Healthcare Management, stream Regular talks.
Tuesday, 11:00-12:30Room: Room S1
Authors (first author is the speaker)
| 1. | Maude Laberge
|
| Social and Preventive Medicine, Université Laval |
Abstract
The prevalence of mood disorders has increased globally. People with mood disorders have been found to use more health services than the general population but a mood disorder diagnosis does not entail utilization of health services. This heterogeneity in health services utilization could make it difficult for governments to plan resources to meet the needs of people with mood disorders. We used a database of patient-level linked data from residents of Quebec, Canada, to model care trajectories of people who self-reported having been diagnosed with a mood disorder. The data from the Canadian Community Health Survey were linked to health administrative data for a 21-year period. We used latent class analysis and latent profile analysis to group people into categories. We identified four care trajectories using the latent class analysis. Class 1 consists of people who consulted a general practitioner. People in Class 2 use psychiatric services and/or the hospital. Class 3 is composed of people whose utilized is for specialists other than psychiatrists. Most participants were in Class 4, characterized by a null utilization. For the LPA, we found 4 profiles for medical services, and two profiles for hospital utilization. By classifying people into services utilization groups, these methods enable determining needs for a given population and can support resource allocation for health care decision makers.
Keywords
- Care Pathways
Status: accepted
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