Opioid Tapering After Hospital Discharge: Testing an Intervention to Improve Post-operative Opioid Prescribing
DOTS
1 other identifier
interventional
42
1 country
1
Brief Summary
The investigator team proposes a randomized clinical trial (RCT) to test a discharge opioid taper support ("DOTS") intervention that is embedded in the providers' workflow in the EHR to prompt them to prescribe an opioid taper for patients after orthopedic surgery that is tailored to patients' expected analgesic needs. DOTS includes: 1) a recommendation for a patient-specific opioid taper schedule based on opioid use prior to discharge, 2) an automated discharge opioid prescription based on the recommended taper schedule that providers can override, 3) a patient facing handout and 4) post-discharge telephonic support for patients. Providers will be randomly assigned 1:1 to 2 groups and who will each be assigned to DOTS ("DOTS providers") or TS ("TS providers") in a step-wedge design. EHR data will be extracted and telephone surveys of 100 patients over 12 weeks will be conducted after hospital discharge. The two specific aims are:
- 1.To determine the effectiveness of DOTS for reducing excessive opioid prescribing after orthopedic surgery.
- 2.To determine the positive and negative impact of DOTS on patient outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Apr 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 30, 2026
CompletedFirst Posted
Study publicly available on registry
April 3, 2026
CompletedStudy Start
First participant enrolled
April 12, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
April 1, 2028
May 11, 2026
May 1, 2026
2 years
March 30, 2026
May 7, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Mean morphine equivalent daily dose (MMED) - Aim 1
The average (mean) daily dose of opioid medication prescribed in the week after hospital discharge will be assessed by using the initial opioid medication prescribed via the EHR at the time of hospital discharge to calculate the mean morphine equivalent daily dose over the week following hospital discharge. Mean results will be reported in morphine equivalents/day (MME/day).
Over the week after hospital discharge (HD), up to ~18 months
Pain Intensity - Aim 2
Pain intensity will be assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) 3a subscale. In the PROMIS 3a subscale, the participant is asked to rate using a Likert scale of 1 ('no pain') to 5 ('severe pain') how intense over the last seven days was 1) pain at its worst, 2) average pain, and 3) pain right now. Higher subscale scores are indicative of greater pain intensity. Only the subscale result will be reported.
At 1, 2, and 12 weeks after HD, up to ~18 months
Secondary Outcomes (9)
Number of Opioid Pills Prescribed at Discharge - Aim 1
At the time of HD, up to ~18 months
Subsequent Opioid Prescriptions - Aim 1
Over the 12 weeks after HD, up to ~18 months
Incident Long-term Opioid Therapy - Aim 1
Over the 12 weeks after HD, up to ~18 months
Pain Interference - Aim 2
At weeks 1, 2, and 12 after HD, up to ~18 months
Pain Intensity by Activity - Aim 2
At weeks 1, 2, and 12 after HD, up to ~18 months
- +4 more secondary outcomes
Study Arms (2)
Early-Step DOTS Intervention (TAU - DOTS - DOTS)
OTHERThe study will be divided into three equal time periods. Providers in this arm will conduct TAU in the first period, and be assigned to DOTS in the second and third period.
Late-Step DOTS Intervention (TAU - TS - DOTS)
OTHERThe study will be divided into three equal time periods. Providers in this arm will conduct TAU in the first period, be assigned to TS in the second period, and be assigned to DOTS in the third period.
Interventions
In treatment as usual, orthopedic providers at the Hospital treat patients' pain after surgery with opioid medications as needed based on patients' level of pain on the 11-point visual analog scale (typically, 1 or 2 oxycodone 5mg tablets, taken up to 6 times per day, or 1 or 2 hydromorphone 2 mg tablets, for pain at least 6 out of 10). When a patient is ready for discharge, the orthopedic provider prepares Discharge Instructions for the patient to take home and completes a prescription for opioid and non-opioid medications (typically, acetaminophen, ibuprofen, and pregabalin) in the Hospital EHR (Epic). In New York State, all prescriptions are "e-prescribed" through the EHR and transmitted directly to the pharmacy; none are on paper.
Providers assigned to TS only arm will continue with their current post-operative discharge practices. The only new feature in the EHR is that the standard Discharge Instructions will provide a telephone number that patients can call after discharge for any questions relating to their pain and opioid medication management. The telephone number will reach a study physician assistant (PA) or voicemail. The study PA will be trained and licensed. The study PA will answer immediately or respond within 4 hours to address the patient's questions, triage the need for a higher level of care (such as contacting the surgeon, referring the patient to the emergency room, or scheduling an urgent appointment) and if necessary, modify the plan of care, including prescribe additional opioid medication if needed.
The DOTS intervention consists of: 1) a recommendation for a patient-specific opioid taper schedule based on opioid use prior to discharge, 2) an automated discharge opioid prescription based on the recommended taper schedule that providers can override, 3) a patient facing handout, and 4) post-discharge telephonic support for patients. DOTS will be delivered to providers in the EHR as part of their discharge workflow.
Eligibility Criteria
You may qualify if:
- Age ≥ 18 years
- Any orthopedic surgery during hospitalization
- No pre-operative opioid use (no opioids in EHR in past 1 month)
You may not qualify if:
- Opioid Use Disorder \[by International Classification of Diseases, 10th revision (ICD-10), in past 6 months}
- Cancer (by ICD-10, in past 6 months)
- Receiving hospice care (by ICD-10, in past 6 months)
- Not fluent in English
- Do not manage their own medications
- Unable to provide consent over the phone
- Orthopedic surgery due to cancer-related bone disease
- No pre-operative opioid use (no opioids per New York state prescription drug monitoring program in past 1 month)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Montefiore Wakefield Campus
The Bronx, New York, 10466, United States
Related Publications (14)
Hill MV, McMahon ML, Stucke RS, et al. Wide Variation and Excessive Dosage of Opioid Prescriptions for Common General Surgical Procedures. Ann Surg 2017;265(4):709-14. doi: 10.1097/sla.0000000000001993 [published Online First: 2016/09/16]
BACKGROUNDBicket MC, White E, Pronovost PJ, et al. Opioid Oversupply After Joint and Spine Surgery: A Prospective Cohort Study. Anesth Analg 2019;128(2):358-64. doi: 10.1213/ane.0000000000003364 [published Online First: 2018/04/21]
BACKGROUNDBenyamin R, Trescot AM, Datta S, et al. Opioid complications and side effects. Pain Physician 2008;11(2 Suppl):S105-20. [published Online First: 2008/06/17]
BACKGROUNDDaoust R, Paquet J, Cournoyer A, et al. Side effects from opioids used for acute pain after emergency department discharge. Am J Emerg Med 2020;38(4):695-701. doi: 10.1016/j.ajem.2019.06.001 [published Online First: 2019/06/12]
BACKGROUNDWeiner SG. Addressing the ignored complication: chronic opioid use after surgery. BMJ Qual Saf 2020 doi: 10.1136/bmjqs-2020-011841 [published Online First: 2020/09/30]
BACKGROUNDAlam A, Gomes T, Zheng H, et al. Long-term analgesic use after low-risk surgery: a retrospective cohort study. Arch Intern Med 2012;172(5):425-30. doi: 10.1001/archinternmed.2011.1827 [published Online First: 2012/03/14]
BACKGROUNDBrat GA, Agniel D, Beam A, et al. Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study. Bmj 2018;360:j5790. doi: 10.1136/bmj.j5790 [published Online First: 2018/01/19]
BACKGROUNDMosher HJ, Hofmeyer BA, Hadlandsmyth K, et al. Predictors of Long-Term Opioid Use After Opioid Initiation at Discharge From Medical and Surgical Hospitalizations. J Hosp Med 2018;13(4):243-48. doi: 10.12788/jhm.2930 [published Online First: 2018/04/07]
BACKGROUNDShah A, Hayes CJ, Martin BC. Factors Influencing Long-Term Opioid Use Among Opioid Naive Patients: An Examination of Initial Prescription Characteristics and Pain Etiologies. J Pain 2017;18(11):1374-83. doi: 10.1016/j.jpain.2017.06.010 [published Online First: 2017/07/18]
BACKGROUNDShah A, Hayes CJ, Martin BC. Characteristics of Initial Prescription Episodes and Likelihood of Long-Term Opioid Use - United States, 2006-2015. MMWR Morb Mortal Wkly Rep 2017;66(10):265-69. doi: 10.15585/mmwr.mm6610a1 [published Online First: 2017/03/17]
BACKGROUNDNeuman MD, Bateman BT, Wunsch H. Inappropriate opioid prescription after surgery. Lancet 2019;393(10180):1547-57. doi: 10.1016/s0140-6736(19)30428-3 [published Online First: 2019/04/16]
BACKGROUNDColvin LA, Bull F, Hales TG. Perioperative opioid analgesia-when is enough too much? A review of opioid-induced tolerance and hyperalgesia. Lancet 2019;393(10180):1558-68. doi: 10.1016/s0140-6736(19)30430-1 [published Online First: 2019/04/16]
BACKGROUNDKessler ER, Shah M, Gruschkus SK, et al. Cost and quality implications of opioid-based postsurgical pain control using administrative claims data from a large health system: opioid-related adverse events and their impact on clinical and economic outcomes. Pharmacotherapy 2013;33(4):383-91. doi: 10.1002/phar.1223 [published Online First: 2013/04/05]
BACKGROUNDDublin S, Walker RL, Gray SL, et al. Prescription Opioids and Risk of Dementia or Cognitive Decline: A Prospective Cohort Study. Journal of the American Geriatrics Society 2015;63(8):1519-26. doi: 10.1111/jgs.13562 [published Online First: 2015/08/21]
BACKGROUND
Related Links
MeSH Terms
Interventions
Study Officials
- PRINCIPAL INVESTIGATOR
Justina Groeger, MD
Montefiore Medical Center
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Masking Details
- Providers will be randomly assigned 1:1 to 2 groups (Early-Step DOTS vs Late-Step DOTS) and each will receive DOTS ("DOTS providers) or TS ("TS providers") in a stepped-wedge design.
- Purpose
- TREATMENT
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 30, 2026
First Posted
April 3, 2026
Study Start
April 12, 2026
Primary Completion (Estimated)
April 1, 2028
Study Completion (Estimated)
April 1, 2028
Last Updated
May 11, 2026
Record last verified: 2026-05