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.

   Hypothesis 1: Patients discharged by DOTS providers will be prescribed a lower initial mean morphine equivalent daily dose (MMED), fewer opioid pills, and over 12 weeks, will have fewer subsequent opioid prescriptions and incident long-term opioid therapy, compared to patients discharged by non-DOTS providers.

   Hypothesis 2. Age and frailty will be moderators; DOTS will be more effective at reducing excessive prescribing to older (65 years and older) and frailer patients.

2. To determine the positive and negative impact of DOTS on patient outcomes.

Hypothesis 3: Compared to patients of non-DOTS providers, patients of DOTS providers will have improved pain and function, fewer adverse events, and less emergency post-operative care.

Hypothesis 4: Age and frailty will be moderators; DOTS will be more effective at improving positive and reducing negative outcomes in older and frailer patients.

The opioid epidemic in the U.S. resulted in >50,000 opioid overdose deaths in 2019. Prescription opioids cause a third of opioid overdose deaths overall and 80% of those among older adults (aged ≥ 65). Surgery is a critical event when excessive opioids are prescribed. After surgery, 90% of patients are prescribed more opioids than they use and 90% of those with unused pills do not safely store or dispose of them. Excessive opioid prescribing after surgery can lead to long-term use, diversion, and opioid-related harms including sedation, constipation, hyperalgesia, physical dependence, opioid use disorder, or overdose.

Curbing excessive opioid prescribing after orthopedic surgeries such as knee or hip replacement is particularly important. These surgeries have more than doubled since 2000, opioids are typically required for post-operative pain, and patients undergoing these surgeries tend to be frail or older adults who have high risk for opioid-related harm. Compared with adults under age 65, older adults have twice the risk of post-surgical opioid-related sedation or delirium and increased risk of opioid-related falls, fractures, overdose, hospitalization, and all-cause mortality. Frailty, a syndrome of physiologic decline that is often but not always age-related is associated with increased sensitivity to analgesia and opioid-related harms.

Surgical providers often prescribe excessive opioids at the time of hospital discharge without patient instructions for gradually reducing use over time (tapering). A tapered dose schedule can provide effective post-operative pain control, guide patients to cease opioids within 7 days, and minimizes opioid withdrawal symptoms. Previous K12-funded work and other studies have found that surgical providers fear causing opioid-related harm particularly to older and frailer adults, but prescribe excessive opioids out of concern that patients would have poorly controlled pain, call for more medication or care, or be dissatisfied. In addition, opioid tapers are not prescribed due to the lack of knowledge and standardized procedures.

An algorithm was developed for patient-specific, post-operative opioid taper schedules that considers the patient's opioid requirements while hospitalized. Each taper was manually calculated and was not fully integrated into the electronic health record (EHR) in which the discharging providers work. Studies show that embedding default prescriptions in the EHR is effective at changing prescribing behavior. One pre-post observational study of a patient-specific, post-operative taper calculated outside the EHR reduced excessive prescribing. However, no clinical trials have examined patient-specific, post-operative opioid taper interventions that are embedded as defaults in the EHR. No studies have rigorously examined their impact on patient outcomes or the provider- patient-, and contextual factors that influence whether providers use the intervention with patients.

Excessive opioid prescribing after surgery remains a major driver of morbidity and mortality. EHR-embedded interventions with default settings have the potential to create scalable and lasting changes in provider prescribing practices to reduce excessive post-operative opioid prescribing and encourage tapers but have not been rigorously tested. Thus, this randomized controlled trial is proposed to test the effectiveness of DOTS to reduce excessive opioid prescribing and its impact on patient outcomes.

Inclusion Criteria (Aim 1):

• Age ≥ 18 years
• Any orthopedic surgery during hospitalization
• No pre-operative opioid use (no opioids in EHR in past 1 month)

Exclusion Criteria (Aim 1):

• 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)

Inclusion Criteria (Aim 2):

• Meets criteria for inclusion in Aim 1

Exclusion Criteria (Aim 2):

• 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)](streamdown:incomplete-link)

Contract pending

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.