Hospital- and patient-related characteristics determining length of hospital stay for hip and knee replacements

Co-payments and equity in care: enhancing hospitalisation policy for Palestine refugees in Lebanon

Background

This paper measures the impact of introducing a 10% co-payment on secondary care hospitalization costs for Palestine refugees living in Lebanon (PRL) in all UNRWA contracted hospitals, except for the Red Crescent Society. This ex-post analysis provides a detailed insight on the direction and magnitude of the policy impact in terms of demand by hospital type, average length of stay and treatment costs.

Methods

With a complete population episode level dataset, we use multinomial logit, negative binomial, and linear models to estimate impacts on the different dependent variables, controlling for disease, patient and hospital characteristics.

Results

After the implementation patients were at least 4 pp (p <0.01) more likely to choose a Red Crescent Society hospital for secondary care, instead of one with co-payment. Average length of stay was not affected in general, despite the increase in control at all UNRWA contracted hospitals. Except for the decrease in UNRWA contribution, did not find a statistically significant impact of the co-payment on costs, nor for the provider or for the patient. Findings suggest that introducing a 10% co-payment for secondary hospital care had an impact on patients’ health care budget, leading to demand shifts towards cheaper options - i.e., patients had to chose care based on financial constraints rather than on their treatment preferences.

Conclusion

Before changing healthcare payment schemes in different types of hospitals, facilities offering free of charge treatment should be assessed and prepared for potential demand shifts to avoid overcapacity and the collapse of health care services for such a fragile population. In addition, exemptions from co-payments should be considered for patients with severe health conditions and financial constraints, who, according to our results, are the most likely to change their pattern of care due to an increase in treatment costs.

Supplementary Information

The online version contains supplementary material available at (10.1186/s12913-021-07427-8).

Association between surgical wait time and hospital length of stay in primary total knee and hip arthroplasty

AIMS

In countries with social healthcare systems, such as Canada, patients may experience long wait times and a decline in their health status prior to their operation. The aim of this study is to explore the association between long preoperative wait times (WT) and acute hospital length of stay (LoS) for primary arthroplasty of the knee and hip.

METHODS

The study population was obtained from the provincial Patient Access Registry Nova Scotia (PARNS) and the Canadian national hospital Discharge Access Database (DAD). We included primary total knee and hip arthroplasties (TKA, THA) between 2011 and 2017. Patients waiting longer than the recommended 180 days Canadian national standard were compared to patients waiting equal or less than the standard WT. The primary outcome measure was acute LoS postoperatively. Secondarily, patient demographics, comorbidities, and perioperative parameters were correlated with LoS with multivariate regression.

RESULTS

A total of 11,833 TKAs and 6,627 THAs were included in the study. Mean WT for TKA was 348 days (1 to 3,605) with mean LoS of 3.6 days (1 to 98). Mean WT for THA was 267 days (1 to 2,015) with mean LoS of 4.0 days (1 to 143). There was a significant increase in mean LoS for TKA waiting longer than 180 days (2.5% (SE 1.1); p = 0.028). There was no significant association for THA. Age, sex, surgical year, admittance from home, rural residence, household income, hospital facility, the need for blood transfusion, and comorbidities were all found to influence LoS.

CONCLUSION

Surgical WT longer than 180 days resulted in increased acute LoS for primary TKA. Meeting a shorter WT target may be cost-saving in a social healthcare system by having shorter LoS. Cite this article: Bone Jt Open 2021;2(8):679-684.

Accelerated rehabilitation versus conventional rehabilitation in total hip arthroplasty (ARTHA): a randomized double blinded clinical trial

OBJECTIVES

compare an accelerated physiotherapeutic protocol to a conventional physiotherapeutic protocol in total hip arthroplasty patients.

METHODS

a randomized double blinded clinical trial performed from August 2013 to November 2014. Forty-eight patients diagnosed with hip osteoarthritis submitted to a total hip arthroplasty surgery. An accelerated rehabilitation physiotherapy applied three times a day and start gait training on the first day or standard physiotherapy applied once a day and start gait training on the second or third day of hospitalization. The Merle dAubigné and Postel score (mobility, pain and gait), muscle strength force, range of motion, in hospital stay and time to start of gait training, were the outcomes.

RESULTS

the mean age was 64.46 years (10.37 years standard deviation). No differences were observed in age in different genders, and the two randomization groups were homogeneous. In hospital stay was lower in the intervention group compared to the control group, 3 (3-4) days [median (interquartile range)] versus 4 (4-5) days. Time to the start of gait training was early in the intervention group compared to the control group, 1 (1-1) days versus 2 (2-2) days. Higher muscle strength values were observed in the postoperative results in the intervention group compared to the control group for internal rotation, external rotation and abduction.

CONCLUSIONS

an accelerated physiotherapeutic protocol should be encouraged, because it shows favourable results in gait, muscle strength and length of hospital stay, even upon hospital discharge.

Predictors of extended length of stay after unicompartmental knee arthroplasty

PURPOSE

To identify factors that independently predict extended length of stay after unicompartmental knee arthroplasty (UKA) surgery (defined as length of stay longer than 3 days), and to identify factors predicting early post-operative complications.

METHODS

A retrospective analysis of all patients undergoing UKA from January 2016-January 2019 at our institution was performed. Clinical notes were reviewed to determine the following information: Patient age (years), gender, American Society of Anesthesiologists (ASA) grade, weight (kg), height (meters), body mass index (BMI), co-morbidities, indication for surgery, surgeon, surgical volume, surgical technique (navigated or patient-specific instrumentation), implant manufacturer, estimated blood loss (ml), application of tourniquet during the surgery, application of drain, hospital length of stay (days) and surgical complications.

RESULTS

Multivariate regression analysis showed that ASA 3-4 vs. ASA 1-2 [OR 4.4 (CI; 1.8-10.8, p = 0.001)] and a history of cardiovascular disease [OR 2.8 (CI; 1.4-5.5), p = 0.004)] were significant independent predictors of prolonged length of stay. Hosmer-Lemeshow goodness of fit of the model showed a p-value of 0.214. Nagelkerke R-Square was 0.2. For complications, multivariate regression analysis showed that ASA 3-4 vs. ASA 1-2 [OR 5.8 (CI; 1.7-20.7)] and high BMI (BMI >30) [OR 4.3 (CI; 1.1-17.1)] were significant independent predictors of complications. Hosmer-Lemeshow goodness of fit was 0.89 and Nagelkerke R-Square was 0.2. Patients treated with robotics (Navio) techniques had shorter length of stay median 51 h (IQR; 29-96) when compared to other techniques 72 h (IQR; 52-96), p = 0.008.

CONCLUSION

Based on the results of our study, high ASA grade (≥3) appears to be the most important factor excluding eligibility for fast-track UKA. Any number of co-morbidities may increase ASA, but in and of themselves, apart from a history of cardiovascular disease, they should not be seen as contraindications. Appropriate patient selection, technical tools and details during the surgery could facilitate fast track surgery.

Preoperative Patient Factors Affecting Length of Stay following Total Knee Arthroplasty: A Systematic Review and Meta-Analysis

BACKGROUND

Total knee arthroplasty (TKA) yields substantial improvements in quality of life for patients with severe osteoarthritis. Previous research has shown that TKA outcomes are inferior in patients with certain demographic and clinical factors. Length of stay (LOS) following TKA is a major component of costs incurred by healthcare providers. It is hypothesized that patient-related factors may influence LOS following TKA. The purpose of this systematic review and meta-analysis is to investigate these factors.

METHODS

Three databases (PubMed, Embase, and OVID Medline) were searched using variants of the terms "total knee arthroplasty" and "length of stay". Studies were screened and data abstracted in duplicate. The primary outcome was the effect of prognostic variables on LOS following TKA. Meta-analysis was performed using the Review Manager (RevMan) software (version 5.3. Copenhagen: The Nordic Cochrane Center, The Cochrane Collaboration, 2014).

RESULTS

A total of 68 studies met all inclusion criteria for this review. These studies comprised 21,494,459 patients undergoing TKA with mean age 66.82 years (range, 15-95 years) and 63.8% (12,165,160 of 19,060,572 reported) females. The mean MINORS score was 7, suggesting that studies had a low quality of evidence. Mean LOS following TKA has steadily decreased over the past 4 decades, partially because of the implementation of fast-track programs. Demographic factors associated with increased LOS were age >70 years (mean difference [MD] = 0.81; 95% confidence interval [CI] = 0.38-1.24), female gender (MD = 0.32; 95% CI = 0.29-0.48), body mass index >30 (MD = 0.09; 95% CI = 0.01-0.16), and non-White race (MD = 0.20; 95% CI = 0.10-0.29). Clinical factors associated with increased LOS were American Society of Anesthesiologists score 3-4 vs 1-2 (MD = 1.12; 95% CI = 0.58 to 1.66), Charlson Comorbidity Index > 0 vs 0 (MD = 0.77; 95% CI = 0.32 to 1.22), and preoperative hemoglobin < 130 g/L (MD = 0.66; 95% CI = 0.34 to 0.98).

CONCLUSION

This systematic review and meta-analysis showed that increased age, female gender, body mass index ≥ 30, non-White race, American Society of Anesthesiologists > 2, Charlson Comorbidity Index > 0, and preoperative hemoglobin < 130 g/L were predictors of increased LOS. Mean LOS has steadily decreased over the past decades with the implementation of perioperative "fast-track" programs. Future research should investigate the benefits of preoperative risk factor modification on LOS, in addition to novel surgical approaches, anesthetic adjuvants, and physiotherapy modifications.

LEVEL OF EVIDENCE

IV, systematic review, and meta-analysis of level III and IV evidence.

Gender Differences for Hip and Knee Arthroplasty: Complications and Healthcare Utilization

INTRODUCTION

The influence of patient gender on complications and healthcare utilization remains unexplored. The purpose of the present study was to determine if patient gender significantly affected outcomes following total hip arthroplasty (THA) and total knee arthroplasty (TKA).

METHODS

Retrospective cohort study of THA and TKA patients was performed using the Nationwide Inpatient Sample from 2002 to 2011. Only patients who underwent elective procedures and those with complete perioperative data were included. Multivariate logistic regression was used to compare the rates of adverse events between male and female cohorts while controlling for baseline characteristics.

RESULTS

A total of 6,123,637 patients were included in the study (31.2% THA and 68.8% TKA). The cohort was 61.1% female. While males had a lower rate of any adverse event (odds ratio [OR] = 0.8, P < .001), urinary tract infection (OR = 0.4, P < .001), deep vein thrombosis/pulmonary embolism (OR = 0.9, P < .001), and blood transfusion (OR = 0.5, P < .001), male gender was associated with statistically significant increases in the rates of death (OR = 1.6, P < .001), acute kidney injury (OR = 1.6, P < .001), cardiac arrest (OR = 1.7, P < .001), myocardial infarction (OR = 1.6, P < .001), pneumonia (OR = 1.1, P < .001), sepsis (OR = 1.6, P < .001), surgical site infection (OR = 1.4, P < .001), and wound dehiscence (OR = 1.4, P < .001).

CONCLUSION

Males had increased rates of many individual adverse events. Females had higher rates of urinary tract infection, which translated to an overall higher rate of adverse events in females because of the rarity of the other individual adverse events.

Socio-demographic factors impact time to discharge following total knee arthroplasty

AIM

To determine social, logistical and demographic factors that influence time to discharge in a short stay pathway (SSP) by following total knee arthroplasty (TKA).

METHODS

The study included primary TKA’s performed in a high-volume arthroplasty center from January 2016 through December 2016. Potential variables associated with increased hospital length of stay (LOS) were obtained from patient medical records. These included age, gender, race, zip code, body mass index (BMI), number of pre-operative medications used, number of narcotic medications used, number of patient reported allergies (PRA), simultaneous bilateral surgery, tobacco use, marital status, living arrangements, distance traveled for surgery, employment history, surgical day of the week, procedure end time and whether the surgery was performed during a major holiday week. Multivariate step-wise regression determined the impact of social, logistical and demographic factors on LOS.

RESULTS

Eight hundred and six consecutive primary SSP TKA’s were included in this study. Patients were discharged at a median of 49 h (post-operative day two). The following factors increased LOS: Simultaneous bilateral TKA [46.1 h longer (P < 0.001)], female gender [4.3 h longer (P = 0.012)], age [3.5 h longer per ten-year increase in age (P < 0.001)], patient-reported allergies [1.1 h longer per allergy reported (P = 0.005)], later procedure end-times [0.8 h longer per hour increase in end-time (P = 0.004)] and Black or African American patients [6.1 h longer (P = 0.047)]. Decreased LOS was found in married patients [4.8 h shorter (P = 0.011)] and TKA’s performed during holiday weeks [9.4 h shorter (P = 0.011)]. Non-significant factors included: BMI, median income, patient’s living arrangement, smoking status, number of medications taken, use of pre-operative pain medications, distance traveled to hospital, and the day of surgery.

CONCLUSION

The cost of TKA is dependent upon LOS, which is affected by multiple factors. The clinical care team should acknowledge socio-demographic factors to optimize LOS.

Cross-Validation of Arthroplasty Records Between Arthroplasty and Hospital Discharge Registers, Self-Reports, and Medical Records Among a Cohort of 14,220 Women

BACKGROUND

There are no actual validation studies of the Finnish Arthroplasty Register (FAR), and only a few studies about the accuracy of self-reported hip and knee arthroplasty exist. Therefore, we examine how reliably total hip (THA) and knee (TKA) arthroplasties can be identified from multiple data sources, including self-reports, the hospital discharge register, the arthroplasty register, and medical records.

METHODS

Data from the FAR and from the Finnish Hospital Discharge Register (FHDR) during the years 1980-2010 were cross-checked to identify all THA and TKA events for the Kuopio Osteoporosis Risk Factor and Prevention Study cohort (n = 14,220). Unclear events were further checked from the medical records. After establishing a gold standard, by referring to confirmed THAs and TKAs, we examined the validity of self-reports in identifying the prevalent population with THA/TKA and in identifying incident THA/TKA.

RESULTS

Completeness of 2820 total arthroplasty events was 96.1% in FAR and 98.3% in FHDR. The self-reports had 95.1% sensitivity and 92.9% positive predictive value (PPV) to identify population with THA and for TKA sensitivity was 94.6% and PPV 95.2%. Self-reports' sensitivity of finding the actual surgery events was 65.3% and PPV 85.4% for THA and for TKA sensitivity was 62.9% and PPV 83.4%.

CONCLUSION

The best way to identify THAs and TKAs in Finland is to combine data from the FAR and the FHDR. Self-reports can be considered as suitable to identify the prevalent population with THA/TKA, and they do not work as well to identify the actual surgery events.

Adoption of high technology medical imaging and hospital quality and efficiency: Towards a conceptual framework

Measuring the value of medical imaging is challenging, in part, due to the lack of conceptual frameworks underlying potential mechanisms where value may be assessed. To address this gap, this article proposes a framework that builds on the large body of literature on quality of hospital care and the classic structure-process-outcome paradigm. The framework was also informed by the literature on adoption of technological innovations and introduces 2 distinct though related aspects of imaging technology not previously addressed specifically in the literature on quality of hospital care: adoption (a structural hospital characteristic) and use (an attribute of the process of care). The framework hypothesizes a 2-part causality where adoption is proposed to be a central, linking factor between hospital structural characteristics, market factors, and hospital outcomes (ie, quality and efficiency). The first part indicates that hospital structural characteristics and market factors influence or facilitate the adoption of high technology medical imaging within an institution. The presence of this technology, in turn, is hypothesized to improve the ability of the hospital to deliver high quality and efficient care. The second part describes this ability throughout 3 main mechanisms pointing to the importance of imaging use on patients, to the presence of staff and qualified care providers, and to some elements of organizational capacity capturing an enhanced clinical environment. The framework has the potential to assist empirical investigations of the value of adoption and use of medical imaging, and to advance understanding of the mechanisms that produce quality and efficiency in hospitals.

Preoperative body mass index and physical function are associated with length of stay and facility discharge after total knee arthroplasty

BACKGROUND

Hospital length of stay (LOS) and facility discharge are primary drivers of the cost of total knee arthroplasty (TKA). We sought to identify modifiable patient factors that were associated with increased LOS and facility discharge after TKA.

METHODS

Prospective data were reviewed from 716 consecutive, primary TKA procedures performed by two arthroplasty surgeons between 2006 and 2012 at a single institution. Preoperative body mass index (BMI), Veterans RAND-12 (VR-12) physical component score (PCS), and hemoglobin level were collected in addition to other adjusters. Multivariate linear and logistic models were constructed to predict LOS and facility discharge, respectively.

RESULTS

After adjustment, higher BMI was associated with increased LOS in a dose-response effect: Compared to normal weight (BMI <25) overweight (25-29.9) was associated with longer LOS by 0.32days (P=0.038), class-I obesity (30-34.9) by 0.33days (P=0.024), class-II obesity (35-39.9) by 0.67days (P=0.012) and class-III obesity (>40) by 1.15days (P<0.001). Class-III obesity was associated with facility discharge (odds ratio=2.08, P=0.008). Poor PCS was associated with increasing LOS: compared to PCS≥50, PCS 20-29 was associated with a LOS increase of 0.40days (P=0.014) and PCS<20 with a LOS increase of 0.64days (P=0.031).

CONCLUSION

Patient BMI has a dose-response effect in increasing LOS. Poor PCS was associated similarly with increased LOS. These associations for of BMI and PCS suggest that improvement preoperatively, by any amount, may potentially translate to decreased LOS and perhaps lower the cost associated with TKA.

Evaluation of the impact of preoperative assessment on length of stay after a total hip arthroplasty

Introduction

To investigate if preoperative assessment delivered by occupational therapists, physiotherapists and social workers for people awaiting a total hip arthroplasty decreased the length of stay in hospital postoperatively.

Method

A retrospective data review was conducted on all patients who had a primary total hip arthroplasty across a 6-month period. A total of 101 patients (mean age 67.16 years) was included in this evaluation. Clinical notes were used to determine which patients attended or did not attend preoperative assessment. Statistical modeling was used to analyse the association of a series of variables and time spent in hospital after a total hip arthroplasty.

Results

There was no significant difference in the length of stay for patients who attended preoperative assessment ( P < 0.05) while patients who were medically unfit, lived alone and/or required a care package experienced a significantly higher length of stay ( P < 0.05).

Conclusion

These results do not support the British Orthopaedic Association’s recommendation that preoperative assessment delivered by allied health professionals helps reduce length of stay. However, it identifies variables which could be managed potentially to reduce length of stay. A large multisite clinical trial is required to determine if preoperative assessment reduces length of stay for people undergoing this surgical procedure.

The Evaluation of Comorbidities Relative to Length of Stay for Total Joint Arthroplasty Patients

BACKGROUND

The ability to identify those at risk for longer inpatient stay helps providers with postoperative planning and patient expectations. Decreasing length of stay (LOS) in the future will be determined by appropriate patient selection, risk stratification, and preoperative patient optimization. The purpose of this study was to identify factors that place patients at risk for extended postoperative LOSs.

METHODS

The study cohort included 2009 primary total knee arthroplasty (TKA) patients and 905 total hip arthroplasty (THA) patients. Patient comorbidities were prospectively identified and the LOS for each patient was tracked after a primary arthroplasty. Statistical analysis was performed to correlate which comorbidities were associated with longer inpatient stays.

RESULTS

In the TKA population, gender, smoking status, venous thromboembolism history, body mass index, and diabetes status were not found to be a significant predictor for the LOS. Age was found to be a factor in univariate regression testing (P < .001). In the THA population, univariate testing showed female gender (P < .001), smoking status (P = .002), and age (P < .001) to be factors, but like the TKA population, venous thromboembolism history or diabetes status was not significant. In THA multivariate analysis, age (P < .001) and female gender (P = .018) continued to be factors, but smoking was determined to be a confounding variable.

CONCLUSION

Age and gender were associated with a longer LOS after THA, whereas only age was a significant factor after TKA. Development of age-adjusted LOS models may help aid patient expectations and risk management.

Length of stay and short-term functional outcomes after total knee arthroplasty: Can we predict them?

BACKGROUND

To identify variables influencing length of stay (LOS) and short-term functional outcome in patients undergoing total knee arthroplasty (TKA). A secondary aim was to verify the effect of the same variables on blood management and the rate of postoperative infection.

METHOD

We retrospectively reviewed 353 patients, 258 females and 85 males, who underwent primary TKA in a single specialist orthopaedic centre. Anamnestic and anthropometric data and the Modified Barthel Index Score (MBI) at admission were recorded, and entered as covariates in four longitudinal regression models, separately carried out for female and male groups. The regression outcomes were LOS, MBI change, rate of infection and blood transfusion. Statistical significance was set at p<0.05.

RESULTS

Mean LOS was 15.93±4.97days for females and 13.41±3.63days for males. Mean MBI improvement was statistically significant in both groups. 46.3% females and 29.4% males needed at least one blood transfusion, while infections complicated the hospitalization in 14.6% and 4.7% cases respectively. Among females, older age was predictive for a longer LOS and poorer post-operative MBI improvement. Lower MBI at admission was related to a longer LOS and to a higher risk of post-surgical infections in the female group, but to a better improvement of functional outcome in both groups. A higher rate of blood transfusion postoperatively was associated to lower pre-surgical haemoglobin levels and, for females, to older age and lower BMI.

CONCLUSION

An accurate characterization of TKA candidates might help in reducing LOS and in achieving a better early functional outcome.

Predictors of Hospital Length of Stay in an Enhanced Recovery After Surgery Program for Primary Total Hip Arthroplasty

BACKGROUND

Shorter length of stay (LOS) for total hip arthroplasty (THA) is becoming standard, yet variables identifying candidates for a 1-day discharge in an enhanced recovery after surgery program are not well defined. With growing emphasis on cost-efficiency and bundled care for THA, this study looked to identify variables that correlated with LOS.

METHODS

A retrospective chart review was performed for 273 primary THAs, from April 2014 to January 2015. Clinical measures differentiating a 1-day LOS cohort from that of a LOS longer than 1 day were identified. Direct medical costs were calculated for services billed during hospitalization.

RESULTS

Logistic regression identified the following preoperative patient characteristics to correlate with an LOS >1 day: older age (odds ratio [OR]: 1.06, P < .001), increased body mass index (OR: 1.06, P = .005), female gender (OR: 1.76, P = .031), American Society of Anesthesiologists score 3 or 4 (OR: 1.84, P = .029), and coronary artery disease (OR: 3.90, P = .013). After adjusting for age, body mass index, and gender, the following perioperative variables led to an LOS ≥2 days: general anesthesia (OR: 2.24, P = .007), longer operative time (OR: 1.04, P < .001), and increased blood loss (OR: 1.01, P = .001). Postoperatively, not ambulating on the day of surgery strongly correlated with an LOS ≥2 days (OR: 3.9, P < .001). Hospital costs were approximately $2900 higher for a 2-day LOS.

CONCLUSION

With growing emphasis on cost-efficiency, studying the association of clinical factors with LOS is necessary to develop a preoperative and perioperative predictive risk stratification model that may be used to help optimize discharge protocols for patients in an enhanced recovery after surgery program.

Nutritional status as a predictive marker for surgical site infection in total joint arthroplasty

Background:

Surgical site infection (SSI) is considered one of the most serious complications in total joint arthroplasty (TJA). This study seeks to analyze the predictive value of preoperative and postoperative nutritional biomarkers for SSI in elective TJA.

Methodology:

Nutritional markers were gathered retrospectively utilizing patient's records from the orthopedics department at Benghazi Medical Center (BMC). The sample spanned cases admitted during the 20-month period between January 2012 and August 2013 and had undergone either elective total hip replacement or total knee replacement. The collected lab results included a complete blood count, total lymphocyte count (TLC), and serum albumin (S. alb.) levels. The patients were then divided into two groups based on the occurrence of an SSI.

Results:

A total of 135 total knee (81.5%, n = 110/135) and total hip (18.5%, n = 25/135) replacements were performed at BMC during the study period. Among these cases, 57% (n = 78/135) had patient records suitable for statistical analysis. The average preoperative TLC was 2.422 ×10³ cells/mm³ (range = 0.8–4.7 ×10³ cells/mm³) whereas that number dropped after the surgery to 1.694 ×10³ cells/mm³ (range = 0.6–3.8 ×10³ cells/mm³). S. alb. levels showed a mean of 3.973 g/dl (range = 2.9–4.7 g/dl) preoperatively and 3.145 g/dl (range = 1.0–4.1 g/dl) postoperatively. The majority of TJA patients did not suffer any complication (67.4%, n = 91/135) while eight cases (5.9%) suffered from a superficial SSI.

Conclusion:

Preoperative S. alb. was identified as the only significant predictor for SSI (P = 0.011). Being a preventable cause of postoperative morbidity, it is recommended that the nutritional status (especially preoperative S. alb.) of TJA patients be used as a screening agent and appropriate measures be taken to avoid SSI.

Role of Sociodemographic, Co-morbid and Intraoperative Factors in Length of Stay Following Primary Total Hip Arthroplasty

We aimed to examine and quantify the combined association of patient sociodemographic, preoperative comorbidities and intraoperative factors with extended and prolonged length of stay (LOS) following primary total hip arthroplasty. Longer LOS was associated with Age (≥65 years), BMI ≥30 kg/m(2), ASA score >2, minority race/ethnicity, low SES, general anesthesia, comorbidities of the Circulatory, Genitourinary and Respiratory systems, and operating time. Collectively, being of low SES, advanced age (≥65 years) and minority race/ethnicity was most significantly associated with prolonged LOS (>7 days). The combined associations of lower SES, female gender, advanced age, non-Caucasian race/ethnicity and certain comorbidities presented a synergistically elevated risk for longer LOS and may warrant the need to consider sociodemographic status when allocating resources to hospitals serving such patients.

The Combined Influence of Sociodemographic, Preoperative Comorbid and Intraoperative Factors on Longer Length of Stay After Elective Primary Total Knee Arthroplasty

This study assessed the collective association of sociodemographic, preoperative comorbid and intraoperative factors with longer length of stay (LOS) following elective primary total knee arthroplasty. Sociodemographic characteristics examined on 2638 adult cases included age, race/ethnicity, gender and socioeconomic status (SES). Intraoperative factors included operating time and anesthesia type. The collective associations of lower SES, female gender, advanced age, non-Caucasian race/ethnicity and certain comorbidities do present a synergistically elevated risk for longer LOS. In a value-driven healthcare environment, these findings further warrant the need for policymakers and payers to consider sociodemographic status when allocating resources to hospitals serving such patients.

New medical diagnoses and length of stay of acutely unwell older patients: Implications for funding models

AIM

To examine the relationship between newly made medical diagnoses and length of stay (LOS) of acutely unwell older patients.

METHODS

Consecutive patients admitted under the care of four geriatricians were randomly allocated to a model development sample (n = 937) or a model validation sample (n = 855). Cox regression was used to model LOS. Variables considered for inclusion in the development model were established risk factors for LOS and univariate predictors from our dataset. Variables selected in the development sample were tested in the validation sample.

RESULTS

A median of five new medical diagnoses were made during a median LOS of 10 days. New diagnoses predicted an increased LOS (hazard ratio 0.90, 95% confidence interval 0.88-0.92). Other significant predictors of increased LOS in both samples were malnutrition and frailty.

CONCLUSIONS

Identification of new medical diagnoses may have implications for Diagnosis Related Groups-based funding models and may improve the care of older people.

Rapid recovery protocols for primary total hip arthroplasty can safely reduce length of stay without increasing readmissions

We sought to investigate the impact of incremental perioperative recovery protocol changes on hospital LOS and readmission rates associated with primary THAs. A total of 1751 cases were assigned to one of four protocol cohorts across 13 years: traditional, enhanced pain management, early mobility, and rapid recovery (RR). LOS significantly decreased between sequential eras and by 52% between the traditional and RR pathways (IRR=0.48; 95% CI 0.44, 0.53; P<0.0001) without an overall increase in 30-day readmission rates (P=0.13). The odds of readmission for THAs performed under the RR pathway were almost one-third those of the traditional era (OR=0.36; 95% CI 0.14, 0.93; P=0.04). Accelerated clinical care protocols should be considered for most patients undergoing primary THA.

Which patient characteristics influence length of hospital stay after primary total hip arthroplasty in a ‘fast-track’ setting?

After implementation of a ‘fast-track’ rehabilitation protocol in our hospital, mean length of hospital stay for primary total hip arthroplasty decreased from 4.6 to 2.9 nights for unselected patients. However, despite this reduction there was still a wide range across the patients’ hospital duration. The purpose of this study was to identify which specific patient characteristics influence length of stay after successful implementation of a ‘fast-track’ rehabilitation protocol. A total of 477 patients (317 female and 160 male, mean age 71.0 years; 39.3 to 92.6, mean BMI 27.0 kg/m2;18.8 to 45.2) who underwent primary total hip arthroplasty between 1 February 2011 and 31 January 2013, were included in this retrospective cohort study. A length of stay greater than the median was considered as an increased duration. Logistic regression analyses were performed to identify potential factors associated with increased durations. Median length of stay was two nights (interquartile range 1), and the mean length of stay 2.9 nights (1 to 75). In all, 266 patients had a length of stay ≤ two nights. Age (odds ratio (OR) 2.46; 95% confidence intervals (CI) 1.72 to 3.51; p <  0.001), living situation (alone vs living together with cohabitants, OR 2.09; 95% CI 1.33 to 3.30; p = 0.002) and approach (anterior approach vs lateral, OR 0.29; 95% CI 0.19 to 0.46; p <  0.001) (posterolateral approach vs lateral, OR 0.24; 95% CI 0.10 to 0.55; p < 0.001) were factors that were significantly associated with increased length of stay in the multivariable logistic regression model.

Cite this article: Bone Joint J 2015;97-B:19–23.

What preoperative patient-related factors predict inpatient recovery of physical functioning and length of stay after total hip arthroplasty? A systematic review

Objective:

To identify the preoperative patient-related characteristics predicting inpatient recovery of functioning and/or length of hospital stay after elective primary total hip arthroplasty.

Design:

A search was conducted of the electronic databases MEDLINE, EMBASE and CINAHL from inception through April 2014. Observational studies were selected for systematic review if they identified clinically relevant preoperative prognostic factors and reported an association between inpatient recovery of physical functioning and/or length of hospital stay. Study participants were adults undergoing an elective primary total hip arthroplasty.

Results:

Fourteen studies were included, a total of 199,410 individual total hip arthroplasty procedures. Two studies investigated inpatient recovery of physical functioning, no strong level of evidence was found for a relationship between functional recovery and any of the preoperative predictors. Twelve studies investigated the length of hospital stay and reported 19 preoperative prognostic factors. A strong level of evidence suggested that higher scores on the American Society of Anaesthesiologists assessment (OR 3.34 to 6.22, +0.20 days), increased number of comorbidities (RR of 1.10, +0.59 to 1.61 days), presence of heart disease, (RR of 1.59, +0.26 days), and presence of lung disease (RR of 1.30, +0.34 days) were associated with longer lengths of hospital stay following total hip arthroplasty.

Conclusion:

For the prediction of inpatient recovery of physical functioning no factors with a strong level of evidence were found. For length of stay there was a strong level of evidence for the American Society of Anaesthesiologists score, number of comorbidities, and presence of heart or lung disease.

A prediction model for length of stay after total and unicompartmental knee replacement

Early and accurate prediction of hospital length-of-stay (LOS) in patients undergoing knee replacement is important for economic and operational reasons. Few studies have systematically developed a multivariable model to predict LOS. We performed a retrospective cohort study of 1609 patients aged ≥ 50 years who underwent elective, primary total or unicompartmental knee replacements. Pre-operative candidate predictors included patient demographics, knee function, self-reported measures, surgical factors and discharge plans. In order to develop the model, multivariable regression with bootstrap internal validation was used. The median LOS for the sample was four days (interquartile range 4 to 5). Statistically significant predictors of longer stay included older age, greater number of comorbidities, less knee flexion range of movement, frequent feelings of being down and depressed, greater walking aid support required, total (versus unicompartmental) knee replacement, bilateral surgery, low-volume surgeon, absence of carer at home, and expectation to receive step-down care. For ease of use, these ten variables were used to construct a nomogram-based prediction model which showed adequate predictive accuracy (optimism-corrected R2 = 0.32) and calibration. If externally validated, a prediction model using easily and routinely obtained pre-operative measures may be used to predict absolute LOS in patients following knee replacement and help to better manage these patients.

Cite this article: Bone Joint J 2013;95-B:1490–6.

Factors influencing length of stay following primary total knee replacement in a UK specialist orthopaedic centre

AIM

To identify factors significant in influencing LOS following primary TKA in a UK specialist arthroplasty centre.

METHOD

We retrospectively reviewed factors affecting LOS of 514 patients who underwent primary TKA in a single specialist arthroplasty centre in the UK over a one-year period. Surgical and patient factors that may influence LOS were recorded.

RESULTS

The median LOS was 5days. 85% were discharged within 10days. Those staying longer were classified as long stay (up to 3months). The only surgical factor that influenced length of stay was postoperative blood transfusion (p<0.0001). Females stayed longer as did those who lived in more deprived areas. These factors did not remain significant in multivariate analysis. The other most significant predictors at multivariate analysis were pre-operative patient factors such as poor anaesthetic fitness (ASA3 and ASA4) (p=0.001), BMI=30-35 (p=0.04), BMI>35 (p=0.009) and age>80 (p=0.01).

CONCLUSION

Length of stay is largely due to case mix and this should be considered when planning a local arthroplasty service.

LEVEL OF EVIDENCE

2-II.

Fast-track hip and knee arthroplasty: clinical and organizational aspects

Fast-track hip and knee arthroplasty aims at giving the patients the best available treatment at all times, being a dynamic entity. Fast-track combines evidence-based, clinical features with organizational optimization including a revision of traditions resulting in a streamlined pathway from admission till discharge – and beyond. The goal is to reduce morbidity, mortality and functional convalescence with an earlier achievement of functional milestones including functional discharge criteria with subsequent reduced length of stay and high patient satisfaction. Outcomes are traditionally measured as length of stay; safety aspects in the form of morbidity/mortality; patient satisfaction; and – as a secondary parameter – economic savings. Optimization of the clinical aspects include focusing on analgesia; DVT-prophylaxis; mobilization; care principles including functional discharge criteria; patient-characteristics to predict outcome; and traditions which may be barriers in optimizing outcomes. Patients should be informed and motivated to be active participants and their expectations should be modulated in order to improve satisfaction. Also, organizational aspects need to be analyzed and optimized. New logistical approaches should be implemented; the ward ideally (re)structured to only admit arthroplasties; the staff educated to have a uniform approach; extensive preoperative information given including discharge criteria and intended length of stay. This thesis includes 9 papers on clinical and organizational aspects of fast-track hip and knee arthroplasty (I–IX). A detailed description of the fast-track set-up and its components is provided. Major results include identification of patient characteristics to predict length of stay and satisfaction with different aspects of the hospital stay (I); how to optimize analgesia by using a compression bandage in total knee arthroplasty (II); the clinical and organizational set-up facilitating or acting as barriers for early discharge (III); safety aspects following fast-track in the form of few readmissions in general (IV) and few thromboembolic complications in particular (V); feasibility studies showing excellent outcomes following fast-track bilateral simultaneous total knee arthroplasty (VI) and non-septic revision knee arthroplasty (VII); how acute pain relief in total hip arthroplasty is not enhanced by the use of local infiltration analgesia when multi-modal opioid-sparing analgesia is given (VIII); and a detailed description of which clinical and organizational factors detain patients in hospital following fast-track hip and knee arthroplasty (IX). Economic savings following fast-track hip and knee arthroplasty is also documented in studies, reviews, metaanalyses and Cochrane reviews – including the present fast-track (ANORAK). In conclusion, the published results (I–IX) provide substantial, important new knowledge on clinical and organizational aspects of fast-track hip and knee arthroplasty – with concomitant documented high degrees of safety (morbidity/mortality) and patient satisfaction. Future research strategies are multiple and include both research strategies as efforts to implement the fast-track methodology on a wider basis. Research areas include improvements in pain treatment, blood saving strategies, fluid plans, reduction of complications, avoidance of tourniquet and concomitant blood loss, improved early functional recovery and muscle strengthening. Also, improvements in information and motivation of the patients, preoperative identification of patients needing special attention and detailed economic studies of fast- track are warranted.

Quality of the Finnish Hospital Discharge Register: a systematic review

AIMS

The Finnish Hospital Discharge Register (FHDR) is one of the oldest individual level hospital discharge registers and has been intensively used for research purposes. The aim of this study was to gather information concerning the quality of FHDR into one place in terms of a systematic review of validation studies that compare data to external information.

METHODS

Several reference databases were searched for validity articles published until January 2012. For each included study, focus of validation, register years examined, number of compared observations, external source(s) of data, summary of validation results, and conclusions concerning the validity of FHDR were extracted.

RESULTS

In total, 32 different studies comparing FHDR data to external information were identified. Most of the studies examined validity in the case of vascular disease, mental disorders or injuries. More than 95% of discharges could be identified from the register. Positive predictive value (PPV) for common diagnoses was between 75 and 99%.

CONCLUSIONS

Completeness and accuracy in the register seem to vary from satisfactory to very good in the register as long as the recognised limitations are taking into account. Poor recording of subsidiary diagnoses and secondary operations and other rarely used items are the most obvious limitations in validity, but do not compromise the value of data in FHDR in being used in studies that are not feasible to conduct otherwise.

Factors associated with prolonged length of stay following a total knee replacement in patients aged over 75

PURPOSE

The aim of this study was to examine factors associated with a prolonged length of stay (LOS) in patients over 75 undergoing a total knee replacement (TKR).

METHODS

Patients over 75 undergoing a TKR at our institution from January 2008 to February 2009 were identified (n = 112). Patient and operative factors previously shown to affect length of stay were identified. Patient notes were reviewed for details on each of these and data analysed for their effect on length of stay. Discrete data were analysed for their effect on post-operative length of stay using either the Mann-Whitney U test or the Kruskall-Wallis test and continuous data analysed with the Spearman's rank correlation coefficient.

RESULTS

The following factors were associated with length of stay at the 95 % confidence level: patient age, pre-operative mobility and the use of walking aids, BMI, whether the patient was able to mobilise within 24 or 48 hours of the surgery, the day on which the patient first walked ten metres and achieved 90° active knee flexion, pre and post-operative haemoglobin and the need for a blood transfusion.

CONCLUSIONS

Pre-operative use of walking aids, peri-operative haemoglobin concentration, failure to mobilise early following the operation and post-operative complications (including the need for a blood transfusion) seem to be the significant factors associated with a prolonged stay in hospital in the over 75 year olds.

Fast Track THR: One Hospital's Experience with a 2-Day Length of Stay Protocol for Total Hip Replacement

BACKGROUND

Current trends in total joint replacement have focused on shorter hospital stays.

PURPOSE

This study aimed to determine if a pathway for total hip replacement (THR) with the goal of a 2-day discharge (fast track) is safe and effective compared to our traditional pathway (control).

METHODS

One hundred forty-nine patients undergoing unilateral, uncomplicated, THR were enrolled in an accelerated postoperative pathway and 134 were enrolled in the traditional pathway. Patients were followed prospectively and outcomes included hospital length of stay, intra- and postoperative complications, readmissions, reoperations. A statistical model was created to determine factors predictive of a 2-day discharge.

RESULTS

At 1 year, there were no differences in complications, readmissions, or reoperations. The average length of stay decreased from 4.1 to 2.6 days (p < 0.0001). In the fast track group, 58% of patients were discharged home within 2 days. Barriers to a 2-day discharge were postoperative pain, nausea, and dizziness. The only preoperative factor that was predictive of a 2-day discharge was hypertension.

CONCLUSIONS

In a select group of patients, a protocol that allows for a 2-day discharge following THR is safe and effective.

The influence of pre-operative factors on the length of in-patient stay following primary total hip replacement for osteoarthritis

We analysed which pre-operative factors could be used to predict the length of in-patient stay following unilateral primary total hip replacement undertaken for osteoarthritis. Data were collected prospectively from 2302 patients undergoing primary total hip replacement over a nine-year period. The relationships between the various pre-operative factors and length of stay were studied separately using either Student’s t-test or Pearson’s correlation, and then subjected to multiple linear regression analysis.

The mean length of stay was 8.1 days (median 7; 3 to 58). After adjusting for the effects of other pre-operative factors, younger age, male gender, higher combined Harris hip function and activity score, higher general health perception dimension of the Short-Form 36 score, and non-steroidal anti-inflammatory drug use were all found to be significantly associated with a reduced length of stay.

Predictors of length of stay and patient satisfaction after hip and knee replacement surgery: fast-track experience in 712 patients

BACKGROUND AND PURPOSE

Very few studies have focused on patient characteristics that influence length of stay (LOS) in fast-track total hip (THR) and knee arthroplasty (TKR). The aim of this prospective study was to identify patient characteristics associated with LOS and patient satisfaction after total hip and knee replacement surgery.

PATIENTS AND METHODS

Between September 2003 and December 2005, 712 consecutive, unselected patients (440 women) with a mean age of 69 (31-91) years were admitted for hip and knee replacement surgery at our specialized fast-track joint replacement unit. Epidemiological, physical, and perioperative parameters were registered and correlated to LOS and patient satisfaction.

RESULTS

92% of the patients were discharged directly to their homes within 5 days, and 41% were discharged within 3 days. Age, sex, marital status, co-morbidity, preoperative use of walking aids, pre- and postoperative hemoglobin levels, the need for blood transfusion, ASA score, and time between surgery and mobilization, were all found to influence postoperative outcome in general, and LOS and patient satisfaction in particular.

INTERPRETATION

We identified several patient characteristics that influence postoperative outcome, LOS, and patient satisfaction in our series of consecutive fast-track joint replacement patients, enabling further attention to be paid to certain aspects of surgery and rehabilitation.

Use of acute care hospitals by long-stay patients: who, how much, and why?

The effects of long-term hospitalizations can be severe, especially among older adults. In Manitoba, between fiscal years 1991/1992 and 1999/2000, 40 per cent of acute care hospital days were used by the 5 per cent of patients who had long stays, defined as stays of more than 30 days. These proportions were remarkably stable, despite major changes in the bed supply. Approximately two-thirds of long-stay patients were aged 75 or older. Medical record review for a small sample of long-stay medical patients aged 75 or older revealed that 42 per cent of the days spent in hospital were spent either awaiting transfer to another level of care (home care, nursing home, or chronic care), or were due to in-hospital factors, such as awaiting consults, tests, or treatments. Hospital information systems and early discharge planning may help to alleviate lengthy discharge delays and result in better care for these patients.

Length of Stay, Discharge Disposition, and Hospital Charge Predictors

THIS STUDY EXPLORED the effect of patient, clinical, and treatment factors on length of stay (LOS), discharge disposition, and total acute care hospital charges for older adults undergoing elective total hip arthroplasty or total knee arthroplasty. A CAUSATIVE RETROSPECTIVE DESIGN was used, and data analysis included descriptive statistics, multiple regression, and logistic regression. SIGNIFICANT DIFFERENCES in predictor variables (ie, age, gender, living arrangement, comorbidities, postoperative complications) were found between patients who were discharged to home and those who were discharged to another facility. Only postoperative complications contributed significantly to LOS. Total surgical time and postoperative complications contributed significantly to hospital charges.

Preoperative predictors of locomotor ability two months after total knee arthroplasty for severe osteoarthritis

OBJECTIVE

To identify preoperative predictors of locomotor ability 2 months after total knee arthroplasty (TKA).

METHODS

Sixty-five participants scheduled for a first TKA were recruited. The dependent variable was the distance covered during the 6-minute gait test 2 months after TKA. The independent variables, measured before surgery, were grouped into 3 categories: 1). personal; 2). organic system, and 3). capability variables. Multiple regression analyses were conducted to determine the best predictors of the dependent variable. Modified cross-validation of the model combining predictors from the three categories was obtained with 10 random samples derived from the original cohort by resampling with replacement.

RESULTS

Predictors were identified in the 3 categories: 1). gender, number of comorbidities, body mass index, 2). knee pain, flexion and strength, lower limb mechanical power, and 3). preoperative 6-minute gait distance. When these variables were modeled together only the preoperative 6-minute gait distance and knee pain and flexion remained significant (adjusted R(2) = 0.66).

CONCLUSION

Using variables easily measured before surgery, it is possible to predict with good accuracy locomotor ability 2 months after TKA.

Preventable inpatient time: adequacy of electronic patient information systems

OBJECTIVES

This study assessed hospital electronic patient information systems (EPIS) for inclusion of variables associated with avoidable and extended hospitalization (preventable inpatient time).

METHODS

We searched MEDLINE and HealthSTAR databases to identify predictors of preventable inpatient time. We then audited the admissions process and the handwritten medical record at 1 hospital, and the EPIS at all hospitals, affiliated with the Yale University School of Medicine for inclusion of the predictors.

RESULTS

Whereas the written medical record included all 58 predictors, the EPIS of the 10 hospitals surveyed included an average of only 38% of the predictors.

CONCLUSIONS

The conventional approach to information gathering during hospital admission is highly inefficient. Revising EPIS to include predictors of preventable inpatient time could enhance efficiency and quality, while reducing costs, of hospital care.

Revision of unicompartmental knee arthroplasty: outcome in 1,135 cases from the Swedish Knee Arthroplasty study

From 1975 through 1995, 45,025 knee arthroplasties were recorded in the prospective Swedish Knee Arthroplasty study. By the end of 1995, 1,135 of 14,772 primary unicompartmental knee arthroplasties (UKA) for localized, mainly medial arthrosis had been revised. The Marmor/Richards and St. Georg sledge/Endo-Link prostheses were used in 65%. Mean age at revision was 72 (71) years. 232 revisions were performed as an exchange UKA (partial in 97) and 750 as a total knee arthroplasty (TKA). 153 were revised by other modes. In medial UKA, the indication for revision was component loosening in 45% and joint degeneration in 25% and in lateral UKA, the corresponding figures were 31% and 35%, respectively. In 94 cases, unicompartmental components were added to the initially untreated compartment, in 14 with partial exchange of a component. The CRRR was estimated using survival statistics. After only 5 years, the risk of having a second revision was more than three times higher for failed UKAs revised to a new UKA (cumulative rerevision rate (CRRR 26%) than for those revised to a TKA (CRRR 7%). This difference remained, even if those revised before 1985, when modern operating technique was introduced, were excluded (CRRR 31% and 5%, respectively). UKA is a safe primary procedure, when performed with well-designed components and modern surgical technique. It gives documented good patient satisfaction, range of motion, pain relief and relatively few serious complications. However, once failed, the knee should be revised to a TKA. This applies to most modes of failure. Not even joint degeneration of the unoperated compartment can be safely treated by adding contralateral components; CRRR after this procedure was 17%, while it was 7% when converted to a TKA.

Costs and cost-effectiveness in hip and knee replacements. A prospective study

The extensive benefits of the total hip (THA) and knee (TKA) replacements are well documented, but surprisingly little is known about their economics. We assessed costs, cost-effectiveness (C/E), and patient-related C/E variances in THA and TKA from data on 276 THA and 176 TKA patients. Patients with primary arthrosis, primary operation, and total joint replacement were recruited from seven hospitals between March 1991 and June 1992. Their use of health and other welfare services together with health-related quality of life (HRQoL) were measured before the surgery and at 6, 12, and 24 months postoperatively. HRQoL was assessed by the 15D, a 15-dimensional HRQoL instrument, and the Nottingham Health Profile. Costs were assessed from questionnaire responses, the Finnish Hospital Discharge Register, and Finnish Arthroplasty Register. Total hospital costs per patient were 45,000 FIM (US $10,500) for THA and 49,600 FIM (US $11,500) for TKA. Prosthesis costs comprised 21% of these costs in THA and 24% in TKA. On average, hip patients gained more in terms of HRQoL, and the operations were more cost-effective. The C/E ratio for younger (< or = 60 years) knee patients did not differ from those in all age groups of hip patients, whereas TKAs in those over 60 years had a worse C/E ratio compared with all other patient subgroups. It was concluded that allocation efficiency can be improved by considering not only the intervention but also patient characteristics such as age. Indeed, the C/E ratio varied more across age groups of knee patients than between average THA and TKA patients.