Orthopaedic Nurse Navigators and Total Joint Arthroplasty Preoperative Optimization: Obesity and Malnutrition-Part Four of the Movement Is Life Special ONJ Series.

Obesity and malnutrition affect many patients with osteoarthritis and can predispose patients to worse outcomes after total joint arthroplasty (TJA). However, these modifiable risk factors can be addressed in preoperative optimization programs driven by nurse navigators. Our aim is to provide resources and recommendations for nurse navigators when addressing obesity and malnutrition among TJA patients. In addition to discussions with nurse navigators regarding obesity and malnutrition, a literature review was conducted to assess the current practice standards for management. Nurse navigators often had difficulty implementing long-term interventions, but interventions in the literature included medical and bariatric treatments for obesity and more targeted assessment of nutrition status. These findings are incorporated into our recommendations for nurse navigators. Addressing obesity and malnutrition in preoperative optimization can contribute to improved outcomes, as has been demonstrated in current practice and in the literature.

Orthopaedic Nurse Navigators and Total Joint Arthroplasty Preoperative Optimization: Diabetes and Cardiovascular Disease-Part 3 of the Movement Is Life Special ONJ Series.

Diabetes and cardiovascular disease are some of the most common risk factors for complications after total joint arthroplasty (TJA). Preoperative optimization programs are dependent on nurse navigators for coordination of interventions that improve patients' health and surgical outcomes. This article uses information regarding the current practices for diabetes and cardiovascular disease management to provide recommendations for nurse navigators when managing these risk factors prior to TJA. We consulted nurse navigators and conducted a literature review to learn about strategies for addressing diabetes and cardiovascular disease in preoperative optimization programs. Nurse navigators can play a critical role in addressing these conditions by providing patient education and implementing preoperative optimization protocols that incorporate discussion regarding guidelines for diabetes and cardiovascular disease management prior to surgery. This article shares recommendations and resources for nurse navigators to help address diabetes and cardiovascular disease as part of preoperative optimization programs.

Orthopaedic Nurse Navigators and Total Joint Arthroplasty Preoperative Optimization: Substance Use.

Substance use is one of the most common risk factors contributing to complications following total joint arthroplasty. Preoperative optimization programs can help patients modify or stop substance use. The purpose of this study was to provide recommendations and resources that will help nurse navigators standardize and improve preoperative optimization protocols regarding substance use. In a semistructured format, we asked nurse navigators how smoking, alcohol use, and opioid use were addressed. We conducted a literature review and combined findings with nurse navigator reports to create practice recommendations. We recommend consistently referring patients who smoke to smoking cessation programs; using validated screening tools to evaluate alcohol use and involving internists in caring for patients at risk for withdrawal; and involving pain specialists and local resources to assist patients who use opioids. There is a breadth of resources for managing substance use that nurse navigators can utilize to support stronger and more consistent preoperative optimization protocols.

Oncology hospitalist impact on hospice utilization.

BACKGROUND: Unplanned hospitalizations among patients with advanced cancer are often sentinel events prompting goals of care discussions and hospice transitions. Late referrals to hospice, especially those at the end of life, are associated with decreased quality of life and higher total health care costs. Inpatient management of patients with solid tumor malignancies is increasingly shifting from oncologists to oncology hospitalists. However, little is known about the impact of oncology hospitalists on the timing of transition to hospice. OBJECTIVE: To compare hospice discharge rate and time to hospice discharge on an inpatient oncology service led by internal medicine-trained hospitalists and a service led by oncologists. METHODS: At Smilow Cancer Hospital, internal medicine-trained hospitalists were integrated into one of two inpatient medical oncology services allowing comparison between the new, hospitalist-led service (HS) and the traditional, oncologist-led service (TS). Discharges from July 26, 2021, through January 31, 2022, were identified from the electronic medical record. The odds ratio for discharge disposition by team was calculated by logistic regression using a multinomial distribution. Adjusted length of stay before discharge was assessed using multivariable linear regression. RESULTS: The HS discharged 47/400 (11.8%) patients to inpatient hospice, whereas the TS service discharged 18/313 (5.8%), yielding an adjusted odds ratio of 1.94 (95% CI, 1.07-3.51; p = .03). Adjusted average length of stay before inpatient hospice disposition was 6.83 days (95% CI, 4.22-11.06) for the HS and 16.29 days (95% CI, 7.73-34.29) for the TS (p = .003). CONCLUSIONS: Oncology hospitalists improve hospice utilization and time to inpatient hospice referral on an inpatient medical oncology service. PLAIN LANGUAGE SUMMARY: Patients with advanced cancer are often admitted to the hospital near the end of life. These patients generally have a poor chance of long-term survival and may prefer comfort-focused care with hospice. In this study, oncology hospitalists discharged a higher proportion of patients to inpatient hospice with less time spent in the hospital before discharge.

Outcomes on an inpatient oncology service after the introduction of hospitalist comanagement.

BACKGROUND: Smilow Cancer Hospital (SCH) introduced hospitalist comanagement to the inpatient oncology service to address long lengths of stay and oncologist burnout. OBJECTIVE: To determine the impact of hospitalists on inpatient quality outcomes and oncologist experience. INTERVENTIONS: Hospitalists were introduced to one of two inpatient oncology services at SCH. Patients were assigned to teams equally based on capacity. Outcomes on the oncologist-led, traditional service (TS) were compared with outcomes on the hospitalist service (HS) 6 months after program implementation. MAIN OUTCOMES AND MEASURES: Outcomes included patient volume, length of stay (LOS), early discharge, discharge time, and 30-day readmission rate. Mixed linear or Poisson models that accounted for multiple admissions during the study duration were used. Oncologist experience was measured by survey. RESULTS: During the study period, there were 713 discharges, 400 from the HS and 313 from the TS (p = .0003). There was no difference in demographics or severity of illness (SOI) between services. Following adjustment for age, sex, race/ethnicity, cancer type, and discharge disposition, the average LOS was 4.71 on the HS and 5.47 on the TS (p = .01). Adjusted early discharge rate was 6.22% on the HS and 2.06% on the TS (p = .01). Adjusted mean discharge time was 3:45 p.m. on HS and 4:16 p.m. on TS (p = .009). There was no difference in readmission rates. Oncologists reported less stress (p = .001) and a better ability to manage competing responsibilities (p < .0001) while working on the HS. CONCLUSIONS: Hospitalist comanagement significantly improved LOS, early discharge, time of discharge, and oncologist experience without an increase in 30-day readmissions.

Integrated Fragility Hip Fracture Program: A Model for High Quality Care.

BACKGROUND: Hip fractures are a significant cause of morbidity and mortality among elderly patients. Coordinated multidisciplinary care is required to optimize medical outcomes. OBJECTIVE: To determine the effect of the implementation of standardized, evidence-based protocols on clinical outcomes and mortality in patients with fragility hip fractures. INTERVENTIONS: A multidisciplinary group was convened to define best practices in fragility hip fracture care and implement a fragility hip fracture clinical protocol at Yale-New Haven Hospital. Clinical outcomes in 2015, prior to program initiation, were compared with 2018, after the program was well established. MAIN OUTCOMES AND MEASURES: Measured outcomes included 30-day mortality, blood transfusion utilization, adverse effects of drugs, venous thromboembolic complications, sepsis, myocardial infarction, mechanical surgical fixation complications during the index admission, length of stay, 30-day readmission, unexpected return to the operating room (OR) and time to the OR. RESULTS: The implementation of the Integrated Fragility Hip Fracture Program was associated with significant reductions in 30-day mortality from 8.0% in 2015 to 2.8% in 2018 (P = .001). Significant reductions were also seen in use of blood transfusions (46.6% to 28.1%; P < .001), adverse effects of drugs (4.0% to 0%; P < .001), length of stay (5.12 to 4.47 days; P = .004), unexpected return to the OR (5.1% to 0%; P < .001), and time to the OR <24 hours (41.8% to 55.0%, P = .001). CONCLUSIONS: An Integrated Fragility Hip Fracture Program using multidisciplinary care, physician and nursing engagement, evidence-based protocols, data tracking with feedback, and accountability can reduce mortality and improve clinical outcomes in patients with hip fractures.

Preoperative Risk Factor Optimization Lowers Hospital Length of Stay and Postoperative Emergency Department Visits in Primary Total Hip and Knee Arthroplasty Patients.

BACKGROUND: The evaluation and management of outcomes risk has become an essential element of a modern total joint replacement program. Our multidisciplinary team designed an evidence-based tool to address modifiable risk factors for adverse outcomes after primary hip and knee arthroplasty surgery. METHODS: Our protocols were designed to identify, intervene, and mitigate risk through evidence-based patient optimization. Nurse navigators screened patients preoperatively, identified and treated risk factors, and followed patients for 90 days postoperatively. We compared patients participating in our optimization program (N = 104) to both a historical cohort (N = 193) and a contemporary cohort (N = 166). RESULTS: Risk factor identification and optimization resulted in lower hospital length of stay (LOS) and postoperative emergency department (ED) visits. Patients in the optimization cohort had a statistically significant decrease in mean LOS as compared to both the historical cohort (2.55 vs 1.81 days, P < .001) and contemporary cohort (2.56 vs 1.81 days, P < .001). Patients in the optimization cohort had a statistically significant decrease in 30- and 90-day ED visits compared to the historical cohort (P30-day = .042, P90-day = .003). When compared with the contemporary cohort, the optimization cohort had a statistically significant decrease in 90-day ED visits (21.08% vs 10.58%, P = .025). The optimization cohort had a statistically significant increase in the percentage of patients discharged home. We noted nonsignificant reductions in readmission rate, transfusion rate, and surgical site infections. CONCLUSION: Optimization of patients before elective primary total hip arthroplasty and total knee arthroplasty reduced average LOS, ED visits, and drove telerehabilitation use. Our results add to the limited body of literature supporting this patient-centered approach.