Healthcare use and costs associated with post-traumatic stress syndrome in a community sample of older adults: results from the ESA-Services study
Bibliographic record
Abstract
BACKGROUND: Studies have shown higher healthcare utilization and costs associated with post-traumatic stress syndrome (PTSS) in veterans and community adult populations. Given the aging population and the impact on health system resources, it is important to understand the economic consequences of PTSS. METHODS: The data retained came from 1,456 older adults aged 65 years and over recruited in primary medical clinics in the province of Quebec. PTSS was measured with the PTSS scale. Healthcare services (outpatient, emergency department (ED) visits, and inpatient stay) and medication use were captured separately from provincial administrative databases. Healthcare costs incurred in the past year included costs related to outpatient and ED visits, physician fees, inpatient stay, and medication use. Costs were calculated using a healthcare system perspective. χ 2 and Mann-Whitney analyses were used to assess healthcare use. Generalized linear models (GLM) with a gamma distribution (Log Link) were used to evaluate the healthcare costs associated with PTSS. RESULTS: Results showed a significant difference in the number mental health outpatient visits, the number of total prescriptions and the use (presence of at least one prescription) of antidepressants (ADs) and benzodiazepines (BZDs). The multivariate analyses showed that costs associated with outpatient visits, ED visits, mental health inpatient stays, physician fees, and medication use were significantly associated with the presence of PTSS. The total adjusted healthcare cost difference between groups was significant and reached $838 CAN. CONCLUSIONS: Respondents with PTSS were more likely to be prescribed psychotropic medications and to have higher ambulatory costs but not inpatient services related costs, more research is required to better understand whether the mental health needs of individuals with a probable PTSS are being met.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".