Capturing patient mobility levels in the hospital: An examination of nursing charting and behavioural mapping.

AIMS: Our study aimed to (1) validate the accuracy of nursing mobility documentation and (2) identify the most effective timings for behavioural mapping. DESIGN: We monitored the mobility of 55 inpatients using behavioural mapping throughout a nursing day shift, comparing the observed mobility levels with the nursing charting in the electronic health record during the same period. RESULTS: Our results showed a high level of agreement between nursing records and observed mobility, with improved accuracy observed particularly when documentation was at 12 PM or later. Behavioural mapping observations revealed that the most effective timeframe to observe the highest levels of patient mobility was between 10 AM AND 2 PM. CONCLUSION: To truly understand patient mobility, comparing nursing charting with methods like behavioural mapping is beneficial. This comparison helps evaluate how well nursing records reflect actual patient mobility and offers insights into the best times for charting to capture peak mobility. While behavioural mapping is a valuable tool for auditing patient mobility, its high resource demands limit its regular use. Thus, determining the most effective times and durations for observations is key for practical implementation in hospital mobility audits. IMPLICATION FOR THE PROFESSION AND/OR PATIENT CARE: Nurses are pivotal in ensuring patient mobility in hospitals, an essential element of quality care. Their role involves safely mobilizing patients and accurately charting their mobility levels during each shift. For nursing practice, this research underscores that nurse charting can accurately reflect patient mobility, and highlights that recording the patient's highest level of mobility later in the shift offers a more precise representation of their actual mobility. REPORTING METHOD: Strobe. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Inaccuracy of Initial Clinical Mobility Assessment in Venous Thromboembolism Risk Stratification.

BACKGROUND: Venous thromboembolism risk increases in hospitals due to reduced patient mobility. However, initial mobility evaluations for thromboembolism risk are often subjective and lack standardization, potentially leading to inaccurate risk assessments and insufficient prevention. METHODS: A retrospective study at a quaternary academic hospital analyzed patients using the Padua risk tool, which includes a mobility question, and the Johns Hopkins-Highest Level of Mobility (JH-HLM) scores to objectively measure mobility. Reduced mobility was defined as JH-HLM scores ≤3 over ≥3 consecutive days. The study evaluated the association between reduced mobility and hospital-acquired venous thromboembolism using multivariable logistic regression, comparing admitting health care professional assessments with JH-HLM scores. Symptomatic, hospital-acquired thromboembolisms were diagnosed radiographically by treating providers. RESULTS: Of 1715 patients, 33 (1.9%) developed venous thromboembolism. Reduced mobility, as determined by the JH-HLM scores, showed a significant association with thromboembolic events (adjusted OR: 2.53, 95%CI:1.23-5.22, P = .012). In contrast, the initial Padua assessment of expected reduced mobility at admission did not. The JH-HLM identified 19.1% of patients as having reduced mobility versus 6.5% by admitting health care professionals, suggesting 37 high-risk patients were misclassified as low risk and were not prescribed thrombosis prophylaxis; 4 patients developed thromboembolic events. JH-HLM detected reduced mobility in 36% of thromboembolic cases, compared to 9% by admitting health care professionals. CONCLUSION: Initial mobility evaluations by admitting health care professionals during venous thromboembolism risk assessment may not reflect patient mobility over their hospital stay. This highlights the need for objective measures like JH-HLM in risk assessments to improve accuracy and potentially reduce thromboembolism incidents.

Exploring the relationship between AM-PAC scores and mobility components in falls and pressure injury risk assessment tools: A pathway to improve nursing clinical efficiency.

BACKGROUND: Nurses routinely perform multiple risk assessments related to patient mobility in the hospital. Use of a single mobility assessment for multiple risk assessment tools could improve clinical documentation efficiency, accuracy and lay the groundwork for automated risk evaluation tools. PURPOSE: We tested how accurately Activity Measure for Post-Acute Care (AM-PAC) mobility scores predicted the mobility components of various fall and pressure injury risk assessment tools. METHOD: AM-PAC scores along with mobility and physical activity components on risk assessments (Braden Scale, Get Up and Go used within the Hendrich II Fall Risk Model®, Johns Hopkins Fall Risk Assessment Tool (JHFRAT) and Morse Fall Scale) were collected on a cohort of hospitalised patients. We predicted scores of risk assessments based on AM-PAC scores by fitting of ordinal logistic regressions between AM-PAC scores and risk assessments. STROBE checklist was used to report the present study. FINDINGS: AM-PAC scores predicted the observed mobility components of Braden, Get Up and Go and JHFRAT with high accuracy (≥85%), but with lower accuracy for the Morse Fall Scale (40%). DISCUSSION: These findings suggest that a single mobility assessment has the potential to be a good solution for the mobility components of several fall and pressure injury risk assessments.

Dynamic Prediction of Post-Acute Care Needs for Hospitalized Medicine Patients.

OBJECTIVES: Use patient demographic and clinical characteristics at admission and time-varying in-hospital measures of patient mobility to predict patient post-acute care (PAC) discharge. DESIGN: Retrospective cohort analysis of electronic medical records. SETTING AND PARTICIPANTS: Patients admitted to the two participating Hospitals from November 2016 through December 2019 with ≥72 hours in a general medicine service. METHODS: Discharge location (PAC vs home) was the primary outcome, and 2 time-varying measures of patient mobility, Activity Measure for Post-Acute Care (AM-PAC) Mobility "6-clicks" and Johns Hopkins Highest Level of Mobility, were the primary predictors. Other predictors included demographic and clinical characteristics. For each day of hospitalization, we predicted discharge to PAC using the demographic and clinical characteristics and most recent mobility data within a random forest (RF) for survival, longitudinal, and multivariate (RF-SLAM) data. A regression tree for the daily predicted probabilities of discharge to PAC was constructed to represent a global summary of the RF. RESULTS: There were 23,090 total patients and compared to PAC, those discharged home were younger (64 vs 71), had shorter length of stay (5 vs 8 days), higher AM-PAC at admission (43 vs 32), and average AM-PAC throughout hospitalization (45 vs 35). AM-PAC was the most important predictor, followed by age, and whether the patient lives alone. The area under the hospital day-specific receiver operating characteristic curve ranged from 0.76 to 0.79 during the first 5 days. The global summary tree explained 75% of the variation in predicted probabilities for PAC from the RF. Sensitivity (75%), specificity (70%), and accuracy (72%) were maximized at a PAC probability threshold of 40%. CONCLUSIONS AND IMPLICATIONS: Daily assessment of patient mobility should be part of routine practice to help inform care planning by hospital teams. Our prediction model could be used as a valuable tool by multidisciplinary teams in the discharge planning process.

Using Nursing Assessments of Mobility and Activity to Prioritize Patients Most Likely to Need Rehabilitation Services.

OBJECTIVE: To identify nursing assessments of mobility and activity associated with lower-value rehabilitation services. DESIGN: Retrospective cohort analysis of admissions from December 2016 to September 2019 SETTING: Medicine, neurology, and surgery units (n=47) at a tertiary hospital. PARTICIPANTS: We included patients with a length of stay ≥7 days on units that routinely assessed patient function (n=18,065 patients). INTERVENTIONS: Not applicable. MAIN OUTCOME: We examined the utility of nursing assessments of function to identify patients who received lower-value rehabilitation consults, defined as those who received ≤1 therapy visit. MEASURES: Patient function was assessed using 2 Activity Measure for Post-Acute Care (AM-PAC or "6 clicks") inpatient short forms: (1) basic mobility (eg, bed mobility, walking) and (2) daily activity (eg, grooming, toileting). RESULTS: Using an AM-PAC cutoff value of ≥23 correctly identified 92.5% and 98.7% of lower-value physical therapy and occupational therapy visits, respectively. In our cohort, using a cutoff value of ≥23 on the AM-PAC would have eliminated 3482 (36%) of lower-value physical therapy consults and 4076 (34%) of lower-value occupational therapy consults. CONCLUSIONS: Nursing assessment, using AM-PAC scores, can be used to help identify lower-value rehabilitation consults, which can then be reallocated to patients with greater rehabilitation needs. Based on our results, an AM-PAC cutoff value of ≥23 can be used as a guide to help prioritize patients with greater rehabilitation needs.

A unit-based, multi-center evaluation of adopting mobility measures and daily mobility goals in the hospital setting.

BACKGROUND: Promoting patient mobility helps improve patient outcomes, but mobility status is not widely tracked nor do patients have specific individualized mobility goals. PURPOSE: We evaluated nursing adoption of mobility measures and daily mobility goal achievement using the Johns Hopkins Mobility Goal Calculator (JH-MGC), a tool to guide an individualized patient mobility goal based on the level of mobility capacity. METHOD: Built on a translating research into practice framework, the Johns Hopkins Activity and Mobility Promotion (JH-AMP) program was the vehicle to promote use of the mobility measures and the JH-MGC. We evaluated a large-scale implementation effort of this program on 23 units across two medical centers. FINDINGS: Units significantly improved documentation compliance to mobility measures and achieving daily mobility goals. Units with the highest documentation compliance rates had higher rates of daily mobility goal achievement, especially for longer distance ambulation goals. DISCUSSION: The JH-AMP program improved adoption of mobility status tracking and higher nursing inpatient mobility levels.

Identifying Cognitive Impairment in the Acute Care Hospital Setting: Finding an Appropriate Screening Tool.

IMPORTANCE: Identifying cognitive impairment in adults in acute care is essential so that providers can address functional deficits and plan for safe discharge. Occupational therapy practitioners play an essential role in screening for, evaluating, and treating cognitive impairment. OBJECTIVE: To test and compare the psychometrics and feasibility of three cognitive screens and select the ideal screen for use in acute care. DESIGN: Prospective mixed methods. SETTING: Acute care hospital. PARTICIPANTS: Fifty adults. OUTCOMES AND MEASURES: We examined the interrater reliability, administration time, and usability of the Brief Cognitive Assessment Tool Short Form (BCAT-SF), the Activity Measure for Post-Acute Care "6-Clicks" Applied Cognitive Inpatient Short Form (AM-PAC ACISF), and the Montreal Cognitive Assessment (MoCA). We compared the construct validity, sensitivity, and specificity of the BCAT-SF and AM-PAC ACISF with those of the MoCA. RESULTS: Interrater reliability was good to excellent; ICCs were .98 for the MoCA, .97 for the BCAT-SF, and .86 for the AM-PAC ACISF. The BCAT-SF and the AM-PAC ACISF both had 100% sensitivity, and specificity was 74% for the BCAT-SF and 98% for the AM-PAC ACISF. The optimal cutoff score for cognitive impairment on the AM-PAC ACISF was <22. Administration time of the AM-PAC ACISF (1.0 min) was significantly less than that of the BCAT-SF (5.0 min) and the MoCA (13.3 min; p < .001). CONCLUSIONS AND RELEVANCE: Each screen demonstrated acceptable reliability and construct validity. The AM-PAC ACISF had the optimum mix of performance and feasibility for the fast-paced acute care setting. What This Article Adds: Early identification of cognitive impairment using the AM-PAC ACISF can allow for timely occupational therapy intervention in acute care settings.

The Johns Hopkins Activity and Mobility Promotion Program: A Framework to Increase Activity and Mobility Among Hospitalized Patients.

BACKGROUND: Greater mobility and activity among hospitalized patients has been linked to key outcomes, including decreased length of stay, increased odds of home discharge, and fewer hospital-acquired morbidities. Systematic approaches to increasing patient mobility and activity are needed to improve patient outcomes during and following hospitalization. PROBLEM: While studies have found the Johns Hopkins Activity and Mobility Promotion (JH-AMP) program improves patient mobility and associated outcomes, program details and implementation methods are not published. APPROACH: JH-AMP is a systematic approach that includes 8 steps, described in this article: (1) organizational prioritization; (2) systematic measurement and daily mobility goal; (3) barrier mitigation; (4) local interdisciplinary roles; (5) sustainable education and training; (6) workflow integration; (7) data feedback; and (8) promotion and awareness. CONCLUSIONS: Hospitals and health care systems can use this information to guide implementation of JH-AMP at their institutions.

Revealing the tension: The relationship between high fall risk categorization and low patient mobility.

BACKGROUND: Using an inpatient fall risk assessment tool helps categorize patients into risk groups which can then be targeted with fall prevention strategies. While potentially important in preventing patient injury, fall risk assessment may unintentionally lead to reduced mobility among hospitalized patients. Here we examined the relationship between fall risk assessment and ambulatory status among hospitalized patients. METHODS: We conducted a retrospective cohort study of consecutively admitted adult patients (n = 48,271) to a quaternary urban hospital that provides care for patients of broad socioeconomic and demographic backgrounds. Non-ambulatory status, the primary outcome, was defined as a median Johns Hopkins Highest Level of Mobility <6 (i.e., patient walks less than 10 steps) throughout hospitalization. The primary exposure variable was the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) category (Low, Moderate, High). The capacity to ambulate was assessed using the Activity Measure for Post-Acute Care (AM-PAC). Multivariable regression analysis controlled for clinical demographics, JHFRAT items, AM-PAC, comorbidity count, and length of stay. RESULTS: 8% of patients at low risk for falls were non-ambulatory, compared to 25% and 54% of patients at moderate and high risk for falls, respectively. Patients categorized as high risk and moderate risk for falls were 4.6 (95% CI: 3.9-5.5) and 2.6 (95% CI: 2.4-2.9) times more likely to be non-ambulatory compared to patients categorized as low risk, respectively. For patients with high ambulatory potential (AM-PAC 18-24), those categorized as high risk for falls were 4.3 (95% CI: 3.5-5.3) times more likely to be non-ambulatory compared to patients categorized as low risk. CONCLUSIONS: Patients categorized into higher fall risk groups had decreased mobility throughout their hospitalization, even when they had the functional capacity to ambulate.

An interprofessional examination of the Johns Hopkins Mobility Goal Calculator among hospitalized postsurgical patients.

Individualized mobility goals created using a goal calculator have been shown to increase patient mobility on medical nursing units, but have not been studied among postoperative populations. This study aimed to examine the feasibility of an automated mobility goal calculator on a postoperative nursing unit. To examine this, we used the goal calculator to create goals for patients (N = 128) following surgery and mobilized each patient with either a nurse or physical therapist. Each patient's highest level of mobility was recorded and providers completed surveys on the appropriateness of calculated goals. Overall, 94% of patients achieved calculated goals. Patients with more pain achieved goals significantly less often than those with less pain. Those with higher mobility achieved their goals similarly with either provider. Providers reported 47% of goals were appropriate, with goals being set too low as the primary reason for goals being inappropriate. We conclude that the automated goal calculator can be used on postoperative nursing units to set realistic goals for patients after surgery.

Key Data Elements for Longitudinal Tracking of Physical Function: A Modified Delphi Consensus Study.

OBJECTIVE: Physical function is associated with important outcomes, yet there is often a lack of continuity in routine assessment. The purpose of this study was to determine data elements and instruments for longitudinal measurement of physical function in routine care among patients transitioning from acute care hospital setting to home with home health care. METHODS: A 4-round modified Delphi process was conducted with 13 participants with expertise in physical therapy, health care administration, health services research, physiatry/medicine, and health informatics. Three anonymous rounds identified important and feasible data elements. A fourth in-person round finalized the recommended list of individual data elements. Next, 2 focus groups independently provided additional perspectives from other stakeholders. RESULTS: Response rates were 100% for online rounds 1, 3, and 4 and 92% for round 2. In round 1, 9 domains were identified: physical function, participation, adverse events, behavioral/emotional health, social support, cognition, complexity of illness/disease burden, health care utilization, and demographics. Following the fourth round, 27 individual data elements were recommended. Of these, 20 (74%) are "administrative" and available from most hospital electronic medical records. Additional focus groups confirmed these selections and provided input on standardizing collection methods. A website has been developed to share these results and invite other health care systems to participate in future data sharing of these identified data elements. CONCLUSION: A modified Delphi consensus process was used to identify critical data elements to track changes in patient physical function in routine care as they transition from acute hospital to home with home health. IMPACT: Expert consensus on comprehensive and feasible measurement of physical function in routine care provides health care professionals and institutions with guidance in establishing discrete medical records data that can improve patient care, discharge decisions, and future research.

Psychometric Testing of the Activity Measure for Post-Acute Care (AM-PAC) in the Pediatric Acute Care Setting.

PURPOSE: To determine interrater reliability and construct validity of the Activity Measure for Post-Acute Care (AM-PAC) Inpatient "6-clicks" Short Forms for children in acute care. METHODS: Eight physical therapists (PTs) scored the AM-PAC Basic Mobility, 30-second walk test (30SWT), and Timed Up and Go (TUG) for 54 patients (4-17 years); 6 occupational therapists (OTs) scored the AM-PAC Daily Activity and handgrip dynamometry for 50 patients (5-17 years). Correlations between the AM-PAC Basic Mobility, 30SWT, and TUG and between the Daily Activity AM-PAC and handgrip dynamometry were calculated for evidence of construct validity. RESULTS: Interrater reliability for the AM-PAC was excellent for PTs and OTs. Validity was strong to moderate for Basic Mobility when compared with the 30SWT and TUG. Daily Activity had weak correlation with mean left handgrip strength and no correlation with mean right handgrip strength. CONCLUSIONS: AM-PAC Short Forms have acceptable psychometrics for use among children in acute care.

The Paradox of Readmission Prevention Interventions: Missing Those Most in Need.

BACKGROUND: Post-hospitalization transition interventions remain a priority in preventing rehospitalization. However, not all patients referred for readmission prevention interventions receive them. We sought to 1) define patient characteristics associated with non-receipt of readmission prevention interventions (among those eligible for them), and 2) determine whether these same patient characteristics are associated with hospital readmission at the state level. METHODS: We used state-wide data from the Maryland Health Services Cost Review Commission to determine patient-level factors associated with state-wide readmissions. Concurrently, we conducted a retrospective analysis of discharged patients referred to receive 1 of 3 post-discharge interventions between January 2013 and July 2019-a nurse transition guide, post-discharge phone call, or follow-up appointment in our post-discharge clinic-to determine patient-level factors associated with not receiving the intervention. Multivariable generalized estimating equation logistic regression models were used to calculate the odds of not accepting or not receiving the interventions. RESULTS: Older age, male gender, black race, higher expected readmission rate, and lower socioeconomic status were significantly associated with 30-day readmission in hospitalized Maryland patients. Most of these variables (age, sex, race, payer type [Medicaid or non-Medicaid], and socioeconomic status) were also associated with non-receipt of intervention. CONCLUSIONS: We found that many of the same patient-level characteristics associated with the highest readmission risk are also associated with non-receipt of readmission reduction interventions. This highlights the paradox that patients at high risk of readmission are least likely to accept or receive interventions for preventing readmission. Identifying strategies to engage hard-to-reach high-risk patients continues to be an unmet challenge in readmission prevention.

Managing the Rehabilitation Wave: Rehabilitation Services for COVID-19 Survivors.

The coronavirus disease 2019 (COVID-19) pandemic is having a profound effect on the provision of medical care. As the curve progresses and patients are discharged, the rehabilitation wave brings a high number of postacute COVID-19 patients suffering from physical, mental, and cognitive impairments threatening their return to normal life. The complexity and severity of disease in patients recovering from severe COVID-19 infection require an approach that is implemented as early in the recovery phase as possible, in a concerted and systematic way. To address the rehabilitation wave, we describe a spectrum of interventions that start in the intensive care unit and continue through all the appropriate levels of care. This approach requires organized rehabilitation teams including physical therapists, occupational therapists, speech-language pathologists, rehabilitation psychologists or neuropsychologists, and physiatrists collaborating with acute medical teams. Here, we also discuss administrative factors that influence the provision of care during the COVID-19 pandemic. The services that can be provided are described in detail to allow the reader to understand what services may be appropriate locally. We have been learning and adapting real time during this crisis and hope that sharing our experience facilitates the work of others as the pandemic evolves. It is our goal to help reduce the potentially long-lasting challenges faced by COVID-19 survivors.

Perceived Barriers to Mobility in a Medical ICU: The Patient Mobilization Attitudes & Beliefs Survey for the ICU.

PURPOSE: Early mobilization in the intensive care unit (ICU) can improve patient outcomes but has perceived barriers to implementation. As part of an ongoing structured quality improvement project to increase mobilization of medical ICU patients by nurses and clinical technicians, we adapted the existing, validated Patient Mobilization Attitudes & Beliefs Survey (PMABS) for the ICU setting and evaluated its performance characteristics and results. MATERIALS AND METHODS: The 26-item PMABS adapted for the ICU (PMABS-ICU) was administered as an online survey to 163 nurses, clinical technicians, respiratory therapists, attending and fellow physicians, nurse practitioners, and physician assistants in one medical ICU. We evaluated the overall and subscale (knowledge, attitude, and behavior) scores and compared these scores by respondent characteristics (clinical role and years of work experience). RESULTS: The survey response rate was 96% (155/163). The survey demonstrated acceptable discriminant validity and acceptable internal consistency for the overall scale (Cronbach α: 0.82, 95% confidence interval: 0.76-0.85), with weaker internal consistency for all subscales (Cronbach α: 0.62-0.69). Across all respondent groups, the overall barrier score (range: 1-100) was relatively low, with attending physicians perceiving the lowest barriers (median [interquartile range]: 30 [28-34]) and nurses perceiving the highest (37 [31-40]). Within the first 10 years of work experience, greater experience was associated with a lower overall barrier score (-0.8 for each additional year; P = 0.02). CONCLUSIONS: In our medical ICU, across 6 different clinical roles, there were relatively low perceived barriers to patient mobility, with greater work experience over the first 10 years being associated with lower perceived barriers. As part of a structured quality improvement project, the PMABS-ICU may be valuable in assisting to identify specific perceived barriers for consideration in designing mobility interventions for the ICU setting.

Prediction of Disposition Within 48 Hours of Hospital Admission Using Patient Mobility Scores.

Delayed hospital discharges for patients needing rehabilitation in a postacute setting can exacerbate hospital-acquired mobility loss, prolong functional recovery, and increase costs. Systematic measurement of patient mobility by nurses early during hospitalization has the potential to help identify which patients are likely to be discharged to a postacute care facility versus home. To test the predictive ability of this approach, a machine learning classification tree method was applied retrospectively to a diverse sample of hospitalized patients (N = 761) using training and validation sets. Compared with patients discharged to home, patients discharged to a postacute facility were older (median, 64 vs 56 years old) and had lower mobility scores at hospital admission (median, 32 vs 41). The final decision tree accurately classified the discharge location for 73% (95% CI, 67%-78%) of patients. This study emphasizes the value of systematically measuring mobility in the hospital and provides a simple decision tree to facilitate early discharge planning.

Association between ambulatory status and call bell use in hospitalized patients-A retrospective cohort study.

AIM: Characterize the relationship between patient ambulatory status and in-hospital call bell use. BACKGROUND: Although call bells are frequently used by patients to request help, the relationship between physical functioning and call bell use has not been evaluated. METHODS: Retrospective cohort study of 944 neuroscience patients hospitalized in a large academic urban medical centre between April 1, 2014 and August 1, 2014. We conducted multiple linear regression analyses with number of daily call bells from each patient as the primary outcome and patients' average ambulation status as the primary exposure variable. RESULTS: The mean number of daily call bell requests for all patients was 6.9 (6.1), for ambulatory patients 5.6 (4.8), and for non-ambulatory patients, it was 7.7 (6.6). Compared with non-ambulatory patients, ambulatory patients had a mean reduction in call bell use by 1.7 (95% CI 2.5 to -0.93, p < .001) calls per day. In a post hoc analysis, patients who could walk >250 feet had 5 fewer daily call bells than patients who were able to perform in-bed mobility. CONCLUSION: Ambulatory patients use their call bells less frequently than non-ambulatory patients. IMPLICATIONS FOR NURSING MANAGEMENT: Frequent use of call bells by non-ambulatory patients can place additional demands on nursing staff; patient mobility status should be considered in nurse workload/patient assignment.

Implementing an Opioid Risk Reduction Program in the Acute Comprehensive Inpatient Rehabilitation Setting.

OBJECTIVE: To describe the implementation and evaluation of an interdisciplinary quality improvement (QI) project to increase prescription of take-home naloxone (THN) to reduce risks associated with opioids for patients admitted to an acute inpatient rehabilitation unit. DESIGN: Prospective cohort quality improvement project. SETTING: Eighteen-bed acute comprehensive inpatient rehabilitation (ACIR) unit at a large academic institution. PARTICIPANTS: Patients admitted to ACIR between December 2015-November 2016 (N=788). INTERVENTIONS: An interdisciplinary QI model comprised of planning, education, implementation, and maintenance was used to implement a THN and opioid risk-reduction program involving provider and patient education. Analyses consisted of comparisons between baseline, early, and late phases of the project. MAIN OUTCOME MEASURES: (1) The proportion of eligible patients who received a prescription for naloxone upon discharge from ACIR; (2) the proportion of patients originally admitted to ACIR on opioids that were weaned off upon discharge. RESULTS: The adjusted odds of eligible patients being discharged from ACIR with a naloxone prescription during the late QI period were 7 (95% confidence interval [CI]: 3-21) times higher than during the early QI period (late QI period: 43%, 95% CI: 25%-63%; early QI period: 10%, 95% CI: 3%-28%; P<.001). For patients admitted on opioids, the adjusted odds of being weaned off opioids during the late QI period were 10 (95% CI: 4-25) times higher than during baseline (late QI period: 29%, 95% CI: 17%-45%; baseline: 4%, 95% CI: 1%-10%; P<.001). CONCLUSIONS: Implementation of a THN and opioid risk reduction QI project in an inpatient rehabilitation setting led to significantly more eligible patients receiving naloxone and more patients weaned off schedule II opioids.