Publications

OBJECTIVES

To identify comorbidity profiles of older patients last seen in primary care before a suicide attempt and assess attempt and clinical factors (eg, means and lethality of attempt) associated with these profiles.

DESIGN

Cohort study and latent class analysis using Department of Veterans Affairs (VA) national data (2012-2014).

SETTING

All VA medical centers in the United States.

PARTICIPANTS

A total of 2131 patients 65 years and older who were last seen by a primary care provider before a first documented suicide attempt.

MEASUREMENTS

Fatal suicide attempt and means were identified using the National Suicide Data Repository. Nonfatal attempt was defined using the National Suicide Prevention Applications Network. Medical and psychiatric diagnoses and other variables were determined from electronic medical records.

RESULTS

Patients (mean age = 74.4 y; 98.2% male) were clustered into five classes based on medical and psychiatric diagnoses: Minimal Comorbidity (23.2%); Chronic Pain-Osteoarthritis (30.1%); Depression-Chronic Pain (22.9%); Depression-Medical Comorbidity (16.5%); and High Comorbidity (7.3%). The patients in the Minimal Comorbidity and Chronic Pain-Osteoarthritis classes were most likely to attempt fatally compared with classes with a higher burden of comorbidities. Overall, 61% of the sample attempted fatally, and 82.5% of suicide decedents used firearms.

CONCLUSION

This study provides evidence that most comorbidity profiles (>50%) in primary care patients attempting suicide were characterized by minimal depression diagnoses and fatal attempts, mostly with firearms. These findings suggest that more than a depression diagnosis contributes to risk and that conversations about firearm safety by medical providers may play an important role in suicide intervention and prevention. J Am Geriatr Soc 67:2553-2559, 2019.

BACKGROUND

Understanding the differences in how patient complexity varies across surgical specialties can inform policy decisions about appropriate resource allocation and reimbursement. This study evaluated variation in patient complexity across surgical specialties and the correlation between complexity and work relative value units.

STUDY DESIGN

The 2017 American College of Surgeons National Surgical Quality Improvement Program was queried for cases involving otolaryngology and general, neurologic, vascular, cardiac, thoracic, urologic, orthopedic, and plastic surgery. A total of 10 domains of patient complexity were measured: American Society of Anesthesiologists class ≥4, number of major comorbidities, emergency operation, major complications, concurrent procedures, additional procedures, length of stay, non-home discharge, readmission, and mortality. Specialties were ranked by their complexity domains and the domains summed to create an overall complexity score. Patient complexity then was evaluated for correlation with work relative value units.

RESULTS

Overall, 936,496 cases were identified. Cardiac surgery had the greatest total complexity score and was most complex across 4 domains: American Society of Anesthesiologists class ≥4 (78.5%), 30-day mortality (3.4%), major complications (56.9%), and mean length of stay (9.8 days). Vascular surgery had the second greatest complexity score and ranked the greatest on the domains of major comorbidities (2.7 comorbidities) and 30-day readmissions (10.1%). The work relative value units did not correlate with overall complexity score (Spearman's ρ = 0.07; P < .01). Although vascular surgery had the second most complex patients, it ranked fifth greatest in median work relative value units. Similarly, general surgery was the fifth most complex but had the second-least median work relative value units.

CONCLUSION

Substantial differences exist between patient complexity across specialties, which do not correlate with work relative value units. Physician effort is determined largely by patient complexity, which is not captured appropriately by the current work relative value units.