Abstract
Background: A growing literature demonstrates the value of the proactive consultation-liaison psychiatry model for health care systems through reductions in hospital length of stay. Few studies include financial outcomes. Objective: We evaluated the return on investment of a 1-year proactive consultation-liaison psychiatry pilot in a hospital medicine unit. Methods: We used a pre-post method with an active comparison of three hospital medicine units with regular psychiatric consultation on demand. We staffed the pilot unit with one full-time psychiatrist who focused on early case finding, close communication with unit staff, frequent follow-up visits, and proactive discharge planning. We assessed the 1-year change in mean length of stay for all patients receiving psychiatric consultation, from which we estimated the direct contribution margin from bed-backfills and the program's return on investment. Results: On the pilot unit, the percent of discharges that received psychiatric consultation increased from 7.34% to 13.79%, and the length of stay for patients who consulted declined by a mean of 1.82 days (P < 0.05), as compared to an increase of 0.15 days (P > 0.05) on the usual-care units. The pilot unit reduction in length of stay saved 451.71 days in total, allowing for 73.81 bed-backfills, a direct contribution margin of $419,343 (95% confidence interval, $50,754 to $787,933), a net direct contribution margin of $298,245 (-$70,344 to $666,835), and an return on investment of 132% (−31% to 295%). Conclusion: This study strengthens existing evidence for the relative cost-effectiveness of proactive consultation-liaison psychiatry for hospital medicine compared with usual psychiatric consultation on demand.
| Original language | English |
|---|---|
| Pages (from-to) | 363-371 |
| Number of pages | 9 |
| Journal | Journal of the Academy of Consultation-Liaison Psychiatry |
| Volume | 63 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 1 2022 |
Keywords
- consultation-liaison psychiatry
- cost-benefit analyses
- health care economics and organizations
- length of stay/economics
- length of stay/statistics and numerical data
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