Nonelective Primary Total Hip Arthroplasty: The Effect of Discharge Destination on Postdischarge Outcomes

Patient disposition after discharge following primary total hip arthroplasty: home versus skilled nursing facility-a study based on national inpatient sample database

INTRODUCTION

In view of the shortened length of hospital stay following THA, an increasing proportion of patients have required transfer to "extended-care" (ECF) or "skilled nursing" facilities (SNF) over the past years. As a result, the expenditure related to postoperative care facility has been acknowledged as a crucial component of total economic burden associated with THA. In this context, the clinical and demographic factors leading to the need for transfer of patients to SNF following primary THA need to be clearly understood.

METHODS

The NIS database was utilised to identify the patients, who underwent primary THA between 2016 and 2019. The patients were then grouped under two categories: group A-patients who required post-THA transfer to SNF; and group B-those who were discharged home. The details regarding patients' demographic profile, medical comorbidities and complication profile during the perioperative period were recorded; and compared between groups A and B.

RESULTS

Based on the database, 368,431 patients underwent primary THA between 2016 and 2019; among whom, 67,498 (18.3%) were transferred to SNF (group A) following the surgery. Among the various comorbidities evaluated [on multivariate analysis (MVA)], uncomplicated DM (OR 1.45; p < 0.001), CKD (OR 1.47; p < 0.001), cirrhosis (OR 1.83; p < 0.001), Parkinson's disease (OR 3.94; p < 0.001), previous H/O dialysis (OR 2.84; p < 0.001), colostomy (OR 2.03; p < 0.001) or organ transplant (OR 1.42; p < 0.001); morbid obesity (OR 1.72; p < 0.001), cocaine abuse (OR 1.76; p < 0.001); and legal blindness (OR 2.58; p < 0.001) were associated with significantly greater need for post-THA transfer to SNF. Among the systemic complications reviewed (on MVA), pneumonia (odds ratio 3.2; p < 0.001), DVT (odds ratio 2.58; p < 0.001), higher need for blood transfusions (odds ratio 2.55; p < 0.001), ARF (odds ratio 2.32; p < 0.001), MI (odds ratio 2.2; p < 0.001), anaemia (odds ratio 1.65; p = 0.002) and PE (odds ratio 1.56; p < 0.001) significantly raised the probability of need for higher discharge destinations. In addition, prosthesis-related local complications such as prosthetic dislocation (OR 1.59; p < 0.001), fracture (OR 2.64; p < 0.001) or early peri-prosthetic infection (PPI; OR 1.71; p = 0.01) also necessitated specialised facilities of care following THA.

CONCLUSION

We could observe that 0.2% of patients required transfer to SNF following primary THA. Comorbidities such as Parkinson's disease, previous H/O dialysis, legal blindness and H/O colostomy had the highest odds of necessitating patient disposition to SNF. The occurrence of one or more systemic complications including pneumonia, DVT, ARF, MI, PE, and blood loss anaemia (or need for blood transfusion) or local prosthesis-related complications (dislocation, fracture or infections) substantially increased the chances of requiring transfer to a specialised care facility.

Inconsistent Classification of "Outpatient" Surgeries Leads to Different Outcomes Following Total Hip Arthroplasty in Medicare Beneficiaries: A Critical Analysis

BACKGROUND

With rising utilization of outpatient total hip arthroplasty (THA) in older patients including Medicare beneficiaries, the objective was to compare differences in definition including (1) patient demographics; (2) lengths of stay (LOS); and (3) outcomes of "outpatient" (stated status) versus "same-day discharge" (SDD) (actual LOS = 0 days) utilizing a nationwide database.

METHODS

A national database from 2015 to 2019 was queried for Medicare-aged patients undergoing outpatient THA. Total outpatient THAs (N = 6,072) were defined in one of 2 ways: either "outpatient" by the hospital (N = 2,003) or LOS = 0 days (N = 4,069). Demographics, LOS, discharge destinations, and complications were compared between groups. Logistic regression models computed odds ratios (ORs) for factors leading to complications, readmissions, and nonhome discharges. P values < .008 were significant.

RESULTS

Women (OR: 1.19, P = .002), diabetes mellitus (OR: 1.31, P = .003), general anesthesia (OR: 1.24, P = .001), and longer operative times (≥95 minutes) (OR: 1.82, P < .001) were associated with 'outpatient' designation versus SDD. Within the hospital-defined 'outpatient' cohort, 49.1% (983 of 2,003) were discharged the same day (LOS = 0 days), and 21.8% had LOS 2 or more days. The hospital-defined 'outpatient' cohort had greater odds of nonhome discharges (6.3 versus 2.8%; OR: 1.88, P < .001) compared to SDD surgeries. The incidence was higher for any complication among hospital-defined 'outpatient' designated patients compared to SDD (5.5 versus 3.9%, P = .007).

CONCLUSIONS

Outpatient surgeries may be misleading and often do not correlate with SDD, as over 20% remain in the hospital 2 or more days. Investigators should quantitatively define the "outpatient" status by actual LOS to allow standardization and results comparison.

LEVEL OF EVIDENCE

III.

Predicting Need for Skilled Nursing or Rehabilitation Facility after Outpatient Total Hip Arthroplasty

Purpose

Outpatient classified total hip arthroplasty (THA) is a safe option for a select group of patients. An analysis of a national database was conducted to understand the risk factors for unplanned discharge to a skilled nursing facility (SNF) or acute rehabilitation (rehab) after outpatient classified THA.

Materials and Methods

A query of the National Surgical Quality Improvement Program (NSQIP) database for THA (Current Procedural Terminology [CPT] 27130) performed from 2015 to 2018 was conducted. Patient demographics, American Society of Anesthesiologists (ASA) classification, functional status, NSQIP morbidity probability, operative time, length of stay (LOS), 30-day reoperation rate, readmission rate, and associated complications were collected.

Results

A total of 2,896 patients underwent outpatient classified THA. The mean age of patients was 61.2 years. The mean body mass index (BMI) was 29.6 kg/m² with median ASA 2. The results of univariate comparison of SNF/rehab versus home discharge showed that a significantly higher percentage of females (58.7% vs. 46.8%), age >70 years (49.3% vs. 20.9%), ASA ≥3 (58.0% vs. 25.8%), BMI >35 kg/m² (23.3% vs. 16.2%), and hypoalbuminemia (8.0% vs. 1.5%) (P<0.0001) were discharged to SNF/rehab. The results of multivariable logistic regression showed that female sex (odds ratio [OR] 1.47; P=0.03), age >70 years (OR 3.08; P=0.001), ASA ≥3 (OR 2.56; P=0.001), and preoperative hypoalbuminemia (<3.5 g/dL) (OR 3.76; P=0.001) were independent risk factors for SNF/rehab discharge.

Conclusion

Risk factors associated with discharge to a SNF/rehab after outpatient classified THA were identified. Surgeons will be able to perform better risk stratification for patients who may require additional postoperative intervention.

Failure to Meet Same-Day Discharge is Not a Predictor of Adverse Outcomes

INTRODUCTION

As more centers introduce same-day discharge (SDD) total joint arthroplasty (TJA) programs, it is vital to understand the factors associated with successful outpatient TJA and whether outcomes vary for those that failed SDD. The purpose of this study is to compare outcomes of patients that are successfully discharged home the day of surgery to those that fail-to-launch (FTL) and require a longer in-hospital stay.

MATERIALS AND METHODS

We retrospectively reviewed all patients who enrolled in our institution's SDD TJA program from 2015 to 2020. Patients were stratified into two cohorts based on whether they were successfully SDD or FTL. Outcomes of interest included discharge disposition, 90-day readmissions, 90-day revisions, surgical time, and patient-reported outcome measures (PROMs) as assessed by the FJS-12 (3 months, 1 year, and 2 years), HOOS, JR, and KOOS, JR (preoperatively, 3 months, and 1 year). Demographic differences were assessed with chi-square and Mann-Whitney U tests. Outcomes were compared using multilinear regressions, controlling for demographic differences.

RESULTS

A total of 1491 patients were included. Of these, 1384 (93%) were successfully SDD while 107 (7%) FTL and required a longer length-of-stay. Patients who FTL were more likely to be non-married (p = 0.007) and ASA class III (p = 0.017) compared to those who were successfully SDD. Surgical time was significantly longer for those who FTL compared to those who were successfully SDD (100.86 vs. 83.42 min; p < 0.001). Discharge disposition (p = 0.100), 90-day readmissions (p = 0.897), 90-day revisions (p = 0.997), and all PROM scores both preoperatively and postoperatively did not significantly differ between the two cohorts.

CONCLUSION

Our results support the notion that FTL is not a predictor of adverse outcomes as patients who FTL achieved similar outcomes as those who were successfully SDD. The findings of this study can aid orthopedic surgeons to educate their patients who wish to participate in a similar program, as well as patients that have concerns after they failed to go home on the day of surgery.

LEVEL III EVIDENCE

Retrospective Cohort Study.

Risk Factors for Discharge to a Non-Home Destination and Reoperation Following Outpatient Total Hip Arthroplasty (THA) in Medicare-Eligible Patients

Introduction:

The Centers for Medicare and Medicaid Services removed total hip arthroplasty (THA) from the inpatient-only (IO) list in January 2020. Given this recommendation, we analyzed Medicare-eligible patients undergoing outpatient THA to understand risk factors for nonroutine discharge, reoperations, and readmissions.

Materials and Methods:

The 2015-2018 American College of Surgeons–National Surgical Quality Improvement Program database was queried using Current Procedural Terminology code 27130 for Medicare eligible patients (≥ 65 years of age) undergoing outpatient THA. Postoperative discharge destination was categorized into home and non-home. Multivariate logistic regression models were used to evaluate risk factors associated with non-home discharge disposition. Secondarily, we evaluated rates and risk factors associated with 30-day reoperations and readmissions.

Results:

A total of 1095 THAs were retrieved for final analysis. A total of 108 patients (9.9%) experienced a non-home discharge postoperatively. Patients were discharged to rehab (n = 47; 4.3%), a skilled care facility (n = 47; 4.3%), a facility that was “home” (n = 8; 0.7%), a separate acute care facility (n = 5; 0.5%), or an unskilled facility (n = 1; 0.1%). Independent factors for a non-home discharge were American Society of Anesthesiologists Class >II (odds ratio [OR] 2.74), operative time >80 minutes (OR 2.42), age >70 years (OR 2.20), and female gender (OR 1.67). Eighteen patients (1.6%) required an unplanned reoperation within 30 days. A total of 40 patients (3.7%) required 30-day readmissions, with 35 readmissions related to the original THA procedure. Independent risk factors for 30-day reoperation were COPD (OR 5.85) and HTN (OR 5.24). Independent risk factors for 30-day readmission were HTN (OR 4.35) and Age >70 (OR 2.48).

Discussion:

The current study identifies significant predictors associated with a non-home discharge, reoperation, and readmission in Medicare-aged patients undergoing outpatient THA.

Conclusion:

Providers should consider preoperatively risk-stratifying patients to reduce the costs associated with unplanned discharge destination, complication or reoperation.

Predictive models for identifying risk of readmission after index hospitalization for hip arthroplasty: A systematic review

BACKGROUND

An aging United States population profoundly impacts healthcare from both a medical and financial standpoint, especially with an increase in related procedures such as Total Hip Arthroplasty (THA). The Hospital Readmission Reduction Program and Comprehensive Care for Joint Replacement Program incentivize hospitals to decrease post-operative readmissions by correlating reimbursements with smoother care transitions, thereby decreasing hospital burden and improving quantifiable patient outcomes. Many studies have proposed predictive models built upon risk factors for predicting 30-day THA readmissions.

QUESTIONS

(1) Are there validated statistical models that predict 30-day readmissions for THA patients when appraised with a standards-based, reliable assessment tool?. (2) Which evidence-based factors are significant and have support across models for predicting risk of 30-day readmissions post-THA?

METHODS

Five major electronic databases were searched to identify studies that examined correlations between post-THA readmission and risk factors using multivariate models. We rigorously applied the PRISMA methodology and TRIPOD criteria for assessment of the prognostic studies.

RESULTS

We found 26 studies that offered predictive models, of which two presented models tested with validation cohorts. In addition to the many factors grouped into demographic, administrative, and clinical categories, bleeding disorder, higher ASA status, discharge disposition, and functional status appeared to have broad and significant support across the studies.

CONCLUSIONS

Reporting of recent predictive models establishing risk factors for 30-day THA readmissions against the current standard could be improved. Aside from building better performing models, more work is needed to follow the thorough process of undergoing calibration, external validation, and integration with existing EHR systems for pursuing their use in clinical settings. There are several risk factors that are significant in multiple models; these factors should be closely examined clinically and leveraged in future risk modeling efforts.

Which Patients Require Unexpected Admission to Postacute Care Facilities After Total Hip Arthroplasty?

BACKGROUND

Many surgeons prefer to discharge patients home due to patient preferences, improved outcomes, and decreased costs. Despite an institutional protocol to send total hip arthroplasty (THA) patients home, some patients still required postacute care (PAC) facilities. This study aimed to create two predictive models based on preoperative and postoperative risk factors to identify which patients require PAC facilities.

METHODS

A retrospective review of 2,372 patients undergoing primary unilateral THA at a single institution from 2012 to 2017 was done. An electronic query followed by manual review identified discharge disposition, demographic factors, comorbidities, and other patient factors. Of the 2,372 patients, 6.2% were discharged to skilled nursing facilities or inpatient rehabilitation facilities and 93.8% discharged home. Univariate and multivariate analysis were conducted to create two predictive models for patient discharge: preoperative visit and postoperative hospital course.

RESULTS

Of 45 variables evaluated, 7 were found to be notable predictors for PAC facility discharge. In descending order, these included age 65 years or greater, non-Caucasian race, history of depression, female sex, and greater comorbidities. In addition to preoperative factors, in-hospital complications and surgical duration of 90 minutes or greater led to a higher likelihood of PAC facility discharge. Both models had excellent predictive assessments with area under curve values of 0.77 and 0.80 for the preoperative visit and postoperative models, respectively.

DISCUSSION

This study identifies both preoperative and postoperative risk factors that predispose patients to nonroutine discharges after THA. Orthopaedic surgeons may use these models to better predict which patients are predisposed to discharge to PAC facilities.

Development and Validation of a Model for Predicting Rehabilitation Care Location Among Patients Discharged Home After Total Knee Arthroplasty

BACKGROUND

Demand for joint replacement is increasing, with many patients receiving postsurgical physical therapy (PT) in non-inpatient settings. Clinicians need a reliable tool to guide decisions about the appropriate PT setting for patients discharged home after surgery. We developed and validated a model to predict PT location for patients in our health system discharged home after total knee arthroplasty.

METHODS

We analyzed data for patients who completed a preoperative total knee risk assessment in 2017 (model development cohort) or during the first 6 months of 2018 (model validation cohort). The initial total knee risk assessment, to guide rehabilitation disposition, included 28 variables in mobility, social, and environment domains, and on patient demographics and comorbidities. Multivariable logistic regression was used to identify factors that best predict discharge to home health service (HHS) vs home with outpatient PT. Model performance was assessed by standard criteria.

RESULTS

The development cohort included 259 patients (19%) discharged to HHS and 1129 patients (81%) discharged to home with outpatient PT. The validation cohort included 609 patients, with 91 (15%) discharged to HHS. The final model included age, gender, motivation for outpatient PT, and reliable transportation. Patients without motivation for outpatient PT had the highest probability of discharge to HHS, followed by those without reliable transportation. Model performance was excellent in the development and validation cohort, with c-statistics of 0.91 and 0.86, respectively.

CONCLUSION

We developed and validated a predictive model for total knee arthroplasty PT discharge location. This model includes 4 variables with accurate prediction to guide patient-clinician preoperative decision making.

Variability in Discharge Disposition Across US Trauma Centers After Treatment for High-Energy Lower Extremity Injuries

OBJECTIVE

To evaluate the association between patient- and center-level characteristics and discharge to an inpatient facility versus home after treatment for lower extremity trauma, as well as examine the variability in discharge disposition across clinical centers after controlling for these factors.

DESIGN

This is an analysis of data collected prospectively across 5 multicenter studies of extremity trauma.

SETTING

US Trauma Centers.

PARTICIPANTS

Patients 18-80 years with lower extremity trauma treated at 1 of 55 participating centers.

MAIN OUTCOME MEASURE

Discharge disposition.

RESULTS

Among 2365 patients treated at 1 of 55 centers across 13 states, 673 (28.5%) were discharged to an inpatient facility, and 1692 (71.5%) were discharged home. Individuals who were older, female, unmarried, insured, higher body mass index, history of severe alcohol abuse, Gustilo type IIIB or IIIC open injuries, bilateral, spine and upper extremity injuries, higher injury severity score scores, or intensive care unit stay were more likely to be discharged to an inpatient facility. Even after accounting for patient- and center-level characteristics, there was substantial variation in discharge disposition across centers (likelihood ratio test: P < 0.001).

CONCLUSION

Variation in discharge disposition may represent a potential for improvement in resource utilization and cost savings. Further studies are needed to examine the relationship between utilization of postdischarge inpatient facility after trauma and outcomes.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Incidence and Economic Burden of Intertrochanteric Fracture: A Medicare Claims Database Analysis

Background:

There is limited information on current cost estimates associated with intertrochanteric hip fractures in the United States. The purpose of the present study was to estimate the incidence and economic burden of both intertrochanteric and all hip fracture types in the Medicare patient population to the U.S. health-care system.

Methods:

This retrospective database analysis of the 2014 Medicare database involved Standard Analytic File (SAF) 5% sample claims and total enrollment files. Patients ≥65 years of age with a new principal diagnosis of hip fracture (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] code 820.xy) who were continuously enrolled for 18 months were included; those with intertrochanteric hip fracture were further identified with use of ICD-9-CM code 820.21. The total direct medical costs associated with hip fracture in the 90-day and 12-month post-fracture periods were estimated. The relevant costs were estimated on the basis of a propensity-score-matched analysis. The health-care services responsible for major expenses within the 90-day episode-of-care period were also identified.

Results:

The total annual direct medical costs associated with all hip fractures was $50,508 per patient, resulting in a yearly estimate of $5.96 billion to the U.S. health-care system. Intertrochanteric hip fractures accounted for an annual estimate of $52,512 per patient, corresponding to an overall annual economic burden of $2.63 billion to the U.S. health-care system and representing 44% of all hip fracture costs. Inpatient hospitalization and skilled nursing facility services jointly accounted for 76.3% of the $44,135 estimated cost per patient and 75.6% of the $42,388 estimated cost per patient within the 90-day post-acute care period for intertrochanteric and all hip fractures, respectively.

Conclusions:

Hip fracture represents a substantial economic burden to the U.S. health-care system, accounting for $5.96 billion per year, with intertrochanteric hip fracture accounting for 44% of total costs.

Level of Evidence:

Economic and decision analysis, Level IV. See Instructions for Authors for a complete description of levels of evidence.

Clinical Relevance:

The present study provides a comprehensive and updated annual estimate of the economic burden of all hip fracture types and estimates the economic burden of intertrochanteric hip fractures in the Medicare population; to our knowledge, prior availability of this information in the literature is limited.

A comparison of peri-operative outcomes between elective and non-elective total hip arthroplasties

Background

Elective total hip arthroplasties (THAs) entail a more extensive pre-operative planning process compared to non-elective THAs and this may contribute to a disparity in outcomes. However, the differences in peri- and post-operative outcomes between elective and non-elective THAs remain unclear. Therefore, the purpose of this study was to: (I) determine nationwide trends in operative times and (II) evaluate the association between surgery type, elective or non-elective with respect to (I) operative times; (II) hospital lengths-of-stay (LOS); (III) discharge disposition; (IV) 30-day post-operative complications; (V) reoperations; and (VI) readmissions.

Methods

The NSQIP database was queried for all primary THAs (CPT code 27130) performed between 2011 and 2016. This yielded 130,261 cases, which were then stratified into elective (n=125,293) and non-elective (n=4,968) cases. One-way analysis of variance (ANOVA) were used to evaluate the associations between operative times and surgery year. Univariate analyses of surgery type with the following outcomes of interest were also performed: operative times, LOS, and discharge disposition as well as 30-day complication, reoperation, and readmission rates. A multiple linear regression model was used to evaluate the relationships of operative times and LOS with surgery types after adjusting for surgery year and patient factors [age, sex, body mass index (BMI), and American Society of Anesthesiologists (ASA) score]. A log-transformed dependent variable was used to calculate the percentage difference in mean operative times and LOS. Multivariate logistic regression models adjusted for patient factors and year of surgery were used to evaluate associations of surgery type with complication, reoperation, and readmission rates.

Results

Over the 6-year period, mean operative times (93 vs. 103 minutes, P<0.001) and LOS (3 vs. 6 days, P<0.001) were significantly shorter in elective cases compared to non-elective cases. The relationships between operative times or LOS and surgery type remained significant even after adjusting for age, sex, BMI, ASA, and year of surgery (P<0.001). Compared to the non-elective cohort, patients in the elective cohort were more likely to be discharged home (74% vs. 69%, P<0.001). Elective patients had lower rates of several 30-day complications including deep SSI (P<0.001), transfusions (P<0.001), sepsis (P<0.001), and readmission (P<0.005) compared to non-elective patients. These associations remained significant after accounting for potential confounders with multivariate logistic regression.

Conclusions

Findings from this study showed that elective THAs, in which there is more potential for pre-operative planning, were associated with shorter operative times and LOS, as well as fewer complication and readmission rates. These results likely reflect the development of more efficient surgical techniques and improved pre- and intra-operative planning guides.

Bundled Payments for Care Improvement in the Private Sector: A Win for Everyone

BACKGROUND

To help slow the rising costs associated with total joint arthroplasty (TJA), the Centers for Medicare and Medicaid Services introduced the Bundled Payments for Care Improvement (BPCI) initiative. The purpose of this study is to report our 1-year experience with BPCI in our 2 arthroplasty surgeon private practice.

METHODS

In this series, a historical baseline group is compared with our first year under BPCI. We reviewed the cohorts with respect to hospital length of stay (LOS), readmission rates, discharge disposition, postacute care LOS, and overall savings on a per episode basis.

RESULTS

The baseline group included 582 episodes from July 2009 to June 2012. The BPCI study group included 332 episodes from July 2015 to September 2016. We witnessed a substantial learning curve over the course of our involvement in the initiative. The total reduction in cost per episode for TJA was 20.0% (P = .10). Hospital LOS decreased from 4.9 to 3.5 days (P = .02). All-cause 90-day readmission rates decreased from 14.5% to 8.2% (P = .0078). Overall, discharges to home increased from 11.6% to 49.8% (P = .005).

CONCLUSION

Our small, private, 2 arthroplasty surgeon orthopedic practice has shown improvement in postoperative management for TJA patients in 1 year under the BPCI initiative, with increased discharges to home, decreased skilled nursing admissions, days in skilled nursing, and overall readmissions. Because BPCI includes fracture care arthroplasty, the model could be made more equitable if these patients were reimbursed a rate commensurate with their increased costs and risks.

Who Goes to Inpatient Rehabilitation or Skilled Nursing Facilities Unexpectedly Following Total Knee Arthroplasty?

BACKGROUND

Inpatient rehabilitation facilities (IRFs) and skilled nursing facilities (SNFs) represent a significant portion of post-operative expenses of bundled payments for total knee arthroplasty (TKA). Although many surgeons no longer routinely send patients to IRFs or SNFs, some patients are unable to be discharged directly home. This study identified patient factors for discharge to post-acute care facilities with an institutional protocol of discharging TKA patients home.

METHODS

A retrospective review of patients undergoing primary unilateral TKA at a single institution from 2012 to 2017 was performed. All surgeons discharged patients home as a routine protocol. An electronic query followed by manual review identified discharge disposition, demographic factors, co-morbidities, and other patient factors. In total, 2281 patients were identified, with 9.6% discharged to SNFs or IRFs and 90.4% discharged home. Univariate and multivariate analyses were conducted to create 2 predictive models for patient discharge: pre-operative visit and hospital course.

RESULTS

Among 43 variables studied, 6 were found to be significant pre-operative risk factors for a discharge disposition other than home. In descending order, age 75 or greater, female, non-Caucasian race, Medicare status, history of depression, and Charlson Comorbidity Index were predictors for patients going to IRFs. In addition, any in-hospital complications led to a higher likelihood of being discharged to IRFs and SNFs. Both models had excellent predictive assessments with area under curve values of 0.79 and 0.80 for pre-operative visit and hospital course.

CONCLUSION

This study identifies pre-operative and in-hospital factors that predispose patients to non-routine discharges, which allow surgeons to better predict patient post-operative disposition.

Improving Value in Total Joint Arthroplasty: A Comprehensive Patient Education and Management Program Decreases Discharge to Post-Acute Care Facilities and Post-Operative Complications

BACKGROUND

A step-by-step approach to creating a comprehensive patient education, expectation, and management program is described with the aim of reducing discharges to post-acute care centers (PACs) following total joint arthroplasty (TJA). We hypothesized that by lowering discharges to PACs, readmissions and reoperations would also decrease.

METHODS

Following the implementation of a multi-faceted patient education and management program, we retrospectively reviewed 927 TJAs who underwent surgery 12 months before (n = 465) and after (n = 462) the program was implemented. To assess the exposure of the pathway on discharge disposition as well as institutional 30-day and 90-day readmissions and reoperations, a modified Poisson regression was used.

RESULTS

There was a 20% absolute reduction in discharges to PACs (<0.001). The frequency of 30-day readmissions was greater in patients who underwent TJA before implementation (incidence rate ratio [IRR] 1.93, 95% confidence interval [CI] 1.01-3.69). The risk for 90-day readmissions (IRR 1.70, 95% CI 1.20-2.40) and reoperations (IRR 1.67, 95% CI 1.12-2.53) was greater prior to implementation. Discharge to PACs was associated with 2.4 and 3.10 times greater risk for 30-day readmissions (95% CI 1.28-4.56) and 30-day reoperations (95% CI 1.40-7.0), respectively. Patients discharged to PACs were also at greater risk for both 90-day readmissions (IRR 1.59, 95% CI 1.08-2.32) and 90-day reoperations (IRR 1.75, 95% CI 1.12-2.73).

CONCLUSION

Our program led to a reduction in the number of patients being discharged to PACs following TJA, while also demonstrating a reduction in readmission and reoperations. Additionally, discharge to these facilities was an independent risk factor for these complications.