Literature DB >> 33401365

Postoperative Home Monitoring After Joint Replacement: Retrospective Outcome Study Comparing Cases With Matched Historical Controls.

Homer Yang1, Geoff Dervin2, Susan Madden3, Ashraf Fayad1, Paul Beaulé2, Sylvain Gagné4, Mary Lou Crossan4, Kathryn Wheeler4, Melody Afagh4, Tinghua Zhang5, Monica Taljaard5,6.   

Abstract

BACKGROUND: A retrospective cohort study was conducted in patients undergoing postoperative home monitoring (POHM) following elective primary hip or knee replacements.
OBJECTIVE: The objectives of our study were to compare the cost per patient, readmissions rate, emergency room visits, and mortality within 30 days to the historical standard of care using descriptive analysis.
METHODS: After Research Ethics Board approval, patients who were enrolled and had completed a POHM study were individually matched to historical controls by age, American Society of Anesthesiology class, and procedure at a ratio 1:2.
RESULTS: A total of 54 patients in the study group and 107 in the control group were eligible for the analysis. Compared with the historical standard of care, the average cost per case was Can $5826.32 (SD 1418.89) in the POHM group and Can $9198.58 (SD 1513.59) for controls. After 30 days, there were 2 emergency room visits (3.7%) and 0 readmissions in the POHM group, whereas there were 8 emergency room visits (7.5%) and 2 readmissions (1.9%) in the control group. No mortalities occurred in either group.
CONCLUSIONS: The POHM study offers an early hospital discharge pathway for elective hip and knee procedures at a 38% reduction of the standard of care cost. The multidisciplinary transitional POHM team may provide a reliable forum to minimize readmissions, and emergency room visits within 30 days postoperatively. TRIAL REGISTRATION: ClinicalTrials.gov NCT02143232; https://clinicaltrials.gov/ct2/show/NCT02143232 (Archived by WebCite at http://www.webcitation.org/73WQ9QR6P). ©Homer Yang, Geoff Dervin, Susan Madden, Ashraf Fayad, Paul Beaulé, Sylvain Gagné, Mary Lou Crossan, Kathryn Wheeler, Melody Afagh, Tinghua Zhang, Monica Taljaard. Originally published in JMIR Perioperative Medicine (http://periop.jmir.org), 05.11.2018.

Entities:  

Keywords:  continuity of care; cost reductions; length of stay; postoperative care; postoperative emergency department visit; postoperative home monitoring; postoperative readmissions

Year:  2018        PMID: 33401365      PMCID: PMC7728407          DOI: 10.2196/10169

Source DB:  PubMed          Journal:  JMIR Perioper Med        ISSN: 2561-9128


Introduction

Background

Postsurgical emergency department (ED) visits and readmissions within 30 days after surgical discharge led to a marked increase in expenditures [1]. In a retrospective database study of 152,783 patients undergoing major joint replacements, 5.81% (8883/152,783) patients returned to ED within 30 days, more common than 30-day readmissions of 3.42% (5229/152,783), and pain was the most frequent single diagnosis (25.75%) [2]. Often, patients return to a nonindex hospital, which is not the hospital where surgery was performed originally [3]. The costs in such cases are higher [4], as is the mortality [5]. Data on 667,796 surgical patients from the Canadian Institute for Health Information show that 18.7% of postsurgical patients visited ED within 30 days of discharge (based on Ontario, Alberta, and Yukon data) [1]. An innovative, safe clinical pathway to provide continuity of care or transitional care after surgical discharge would seem ideal both from the patient safety and cost containment perspectives. The postoperative home monitoring (POHM) pathway is feasible and provides the transitional care team to maintain direct communication with their patients after surgery. However, the cost associated with this clinical pathway or the rate of ED visits or readmissions postoperatively have not been studied previously. In this study, we hypothesize that the outcomes of POHM are comparable to historical controls and the costs are lower.

Objectives

This study aims to descriptively compare the rates of 30-day readmissions, number of ED visits, and total costs between POHM patients and historical controls.

Methods

This study protocol was approved by the Research Ethics Board. Data from patients who completed the POHM study were collected, and historical controls were selected, matched in 2:1 ratio to POHM cases by age in deciles, American Society of Anesthesiology class, and procedure. Then, potentially matched controls between January 2010 and December 2012 were identified by Medical Records, and the actual control charts were selected by the RANDBETWEEN function in Microsoft Excel. The cost analysis was conducted by the hospital Finance Department as per the provincial protocols for case costing. Outcomes were predefined and unchanged during the trial. We compared the rates of postoperative 30-day mortality, readmissions, ED visits, and the total costs between the groups. We used descriptive statistics (mean [SD] or n [%]) to describe the preoperative and predischarge characteristics of participants. Furthermore, cases and controls were compared using descriptive statistics.

Results

A total of 54 POHM patients (recruited between April 17, 2014 and August 31, 2015) and 107 control patients (January 2010 and December 2012) were eligible for this study. Table 1 shows the demographic characteristics and outcomes for the 2 groups. For one of the cases, an American Society of Anesthesiologists class 1, only one control was found. No 30-day postoperative mortality occurred in the controls or cases. The 30-day postoperative ED visits were 3.7% (2/54) and 7.5% (8/107) in the POHM group and controls, respectively. There were two 30-day postoperative readmissions among the controls and none among the POHM cases. Table 2 shows the direct, indirect, and total costs between the cases and controls. The average total costs were Can $5826.32 (SD 1418.89) for cases and Can $9198.58 (SD 1513.59) for controls.
Table 1

The case-control demographics and 30-day outcomes, postoperative home monitoring Part 2.

VariablesPostoperative home monitoring, (n=54)Controls, (n=107)
Age, mean (SD)61.4 (8.3)61.9 (8.5)
Body mass index, mean (SD)27.5 (4.0)30.7 (6.2)
High blood pressure, n (%)15 (27.8)38 (35.5)
Type II diabetes mellitus, n (%)3 (5.6)12 (11.2)
Hypercholesterolemia, n (%)14 (25.9)28 (26.2)
Pain >3 mo requiring treatment, n (%)54 (100)96 (89.7)
Current smoker, n (%)3 (5.8)10 (9.4)
Anesthesia type, n (%)
Spinal50 (92.6) 91 (85.0)
General4 (7.4)16 (15.0)
30-day emergency room visit, n (%)2 (3.7)8 (7.5)
30-day readmissions, n (%)02 (1.9)
30-day mortality, n (%)00
Table 2

Indirect and direct costs in cases and controls, postoperative home monitoring Part 2.

Type of costaPostoperative home monitoring (n=54), Mean (SD)Controls (n=107), Mean (SD)
Variable direct laborb1277.79 (152.78)2586.62 (601.84)
Variable direct material-general suppliesc563.22 (58.37)637.26 (120.47)
Variable direct otherd101.90 (26.88)162.94 (44.19)
Variable direct material, patient-specific suppliese2373.63 (1368.88)2724.86 (1170.15)
Fixed direct laborf192.44 (21.98)372.46 (117.92)
Fixed direct other—sundryg12.02 (0.94)6.05 (16.95)
Fixed direct building, equipment, and groundsh450.05 (30.43)247.61 (47.11)
Variable indirecti626.2 (57.86)1764.3 (412.77)
Fixed indirectj229.07 (23.5)696.48 (190.96)

aCost structure in use in the province of Ontario.

bNurses, lab technicians, social workers, etc.

cFood, dressings, etc.

dContracted laundry service.

eNonward stock drugs, prostheses, etc.

fClerical and management staff in clinical areas.

gInsurance, travel expenses.

hRenovation, equipment maintenance contracts, including software.

iClerical human resources, records, housekeeping etc.

jStaff in overhead areas.

The case-control demographics and 30-day outcomes, postoperative home monitoring Part 2. Indirect and direct costs in cases and controls, postoperative home monitoring Part 2. aCost structure in use in the province of Ontario. bNurses, lab technicians, social workers, etc. cFood, dressings, etc. dContracted laundry service. eNonward stock drugs, prostheses, etc. fClerical and management staff in clinical areas. gInsurance, travel expenses. hRenovation, equipment maintenance contracts, including software. iClerical human resources, records, housekeeping etc. jStaff in overhead areas.

Discussion

This study shows that the 30-day readmission or ED visit rates were comparable, if not lower, between POHM and historical cohorts. Conversely, the costs were lower. Based on the current literature, for hip or knee replacements, one would expect 2%-5% postoperative complication or readmission rates [6,7]. In other words, 95%-98% of patients would be safe to be discharged when surgically ready. With the advances in surgical techniques, anesthetic management, and postoperative analgesia, we believe that earlier discharge after surgery is becoming more feasible and acceptable. As the technology evolves, the POHM infrastructure will be able to capitalize on more sophisticated monitoring, including the rapidly evolving “wearables.” The POHM solution is not expected to change complication rates but with reliable wireless connectivity, real-time interactions with patients are feasible. Such continuity of care would allow a clinician to determine when a patient could be managed at home, return to a nonindex hospital, or return to the index hospital expeditiously, thereby making earlier postsurgical discharge safer with better patient satisfaction. Postoperative follow-up phone calls have been implemented in many centers. However, little evidence exists that follow-up phone calls by themselves reduce postdischarge readmission rates or ED visits [8-10]. Of various measures that mitigate postdischarge readmissions, continuity of care by physicians who treated patients prior to admission is the most important factor in reducing readmissions [11,12]. The model of care in this study supported the patient after discharge with a multidisciplinary team, including surgeons who had operated on patients. We believe that the model of care is a crucial element in supporting patients after discharge. The results of this study were viewed by the hospital as an important finding and led our hospital to partner with the Ontario TeleHealth Network. The cost associated with the POHM technology (hardware and software) is expected to drop further in the future. In addition, the ability to scale up; to maintain updates, patient privacy, confidential data repository; to add other devices onto the system; and to negotiate pricing by bulk has increased the ease of application of POHM. This study has some limitations. Retrospective historical data were used as controls but conducting a concurrently controlled study was not feasible. Because the sample size was small, we could not draw the statistical significance of differences in 30-day ED visits or readmissions, although a trend of higher rates in the control group was observed. There is potential of missing the 30-day returns in the control group if a patient did not return to our hospital or was readmitted at another hospital. Nevertheless, the trend being already higher in the control group would suggest that if there were a bias, it would have been an underdocumenting of the 30-day mortality, readmissions, or ED visits in the control group. In addition, the cost tracking over the 2 periods in the chart audit was based on the same provincial methodology and with a relatively stable inflation rate, we believe the true cost differences are reflected in our comparisons. The physician costs both in terms of consults, both in patients with longer length of stay and in patients with 30-day ED visits or readmissions, were not tracked. As alluded to earlier, 30-day ED visits or readmissions in the control group to nonindex hospitals were not tracked and their costs, therefore, are not included. Nevertheless, the bias would have been in favor of the control group. In conclusion, we believe that POHM is a new paradigm of postacute care model for surgical recovery, providing better surgical access by further reducing the length of stay, 30-day ED visits by providing continuity of care and addressing patient concerns, and 30-day readmission rates by stratifying postdischarge management at home, at a nonindex hospital, or return to the index hospital.
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1.  Emergency Department Visits Following Elective Total Hip and Knee Replacement Surgery: Identifying Gaps in Continuity of Care.

Authors:  Micaela A Finnegan; Robyn Shaffer; Austin Remington; Jereen Kwong; Catherine Curtin; Tina Hernandez-Boussard
Journal:  J Bone Joint Surg Am       Date:  2017-06-21       Impact factor: 5.284

Review 2.  Telephone follow-up, initiated by a hospital-based health professional, for postdischarge problems in patients discharged from hospital to home.

Authors:  P Mistiaen; E Poot
Journal:  Cochrane Database Syst Rev       Date:  2006-10-18

3.  Rates and Risk Factors for Unplanned Emergency Department Utilization and Hospital Readmission Following Bariatric Surgery.

Authors:  Dana A Telem; Jie Yang; Maria Altieri; Wendy Patterson; Brittany Peoples; Hao Chen; Mark Talamini; Aurora D Pryor
Journal:  Ann Surg       Date:  2016-05       Impact factor: 12.969

4.  Frequency of myocardial infarction, pulmonary embolism, deep venous thrombosis, and death following primary hip or knee arthroplasty.

Authors:  Carlos B Mantilla; Terese T Horlocker; Darrell R Schroeder; Daniel J Berry; David L Brown
Journal:  Anesthesiology       Date:  2002-05       Impact factor: 7.892

Review 5.  Telephone follow-up as a primary care intervention for postdischarge outcomes improvement: a systematic review.

Authors:  J Benjamin Crocker; Jonathan T Crocker; Jeffrey L Greenwald
Journal:  Am J Med       Date:  2012-09       Impact factor: 4.965

6.  The independent association of provider and information continuity on outcomes after hospital discharge: implications for hospitalists.

Authors:  Carl van Walraven; Monica Taljaard; Edward Etchells; Chaim M Bell; Ian G Stiell; Kelly Zarnke; Alan J Forster
Journal:  J Hosp Med       Date:  2010-09       Impact factor: 2.960

7.  Decreased length of stay after TKA is not associated with increased readmission rates in a national Medicare sample.

Authors:  John S Vorhies; Yun Wang; James H Herndon; William J Maloney; James I Huddleston
Journal:  Clin Orthop Relat Res       Date:  2012-01       Impact factor: 4.176

8.  Readmission destination and risk of mortality after major surgery: an observational cohort study.

Authors:  Benjamin S Brooke; Philip P Goodney; Larry W Kraiss; Daniel J Gottlieb; Matthew H Samore; Samuel R G Finlayson
Journal:  Lancet       Date:  2015-06-17       Impact factor: 79.321

9.  Continuity of care and patient outcomes after hospital discharge.

Authors:  Carl van Walraven; Muhammad Mamdani; Jiming Fang; Peter C Austin
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

10.  Do post discharge phone calls improve care transitions? A cluster-randomized trial.

Authors:  Christine Soong; Bochra Kurabi; David Wells; Lesley Caines; Matthew W Morgan; Rebecca Ramsden; Chaim M Bell
Journal:  PLoS One       Date:  2014-11-11       Impact factor: 3.240

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  1 in total

1.  Post Discharge after Surgery Virtual Care with Remote Automated Monitoring Technology (PVC-RAM): protocol for a randomized controlled trial.

Authors:  Michael H McGillion; Joel Parlow; Flavia K Borges; Maura Marcucci; Michael Jacka; Anthony Adili; Manoj M Lalu; Homer Yang; Ameen Patel; Susan O'Leary; Vikas Tandon; Gavin M Hamilton; Marko Mrkobrada; Carley Ouellette; Marissa Bird; Sandra Ofori; David Conen; Pavel S Roshanov; Valerie Harvey; Gordon H Guyatt; Yannick Le Manach; Shrikant I Bangdiwala; Ramiro Arellano; Ted Scott; Jennifer Lounsbury; Dylan A Taylor; Rahima Nenshi; Alan J Forster; Mahesh Nagappa; Andre Lamy; Elizabeth Peter; Kelsea Levesque; Kristen Marosi; Sultan Chaudhry; Shariq Haider; Lesly Deuchar; Brandi LeBlanc; Colin J L McCartney; Emil H Schemitsch; Jessica Vincent; Shirley M Pettit; James Paul; Deborah DuMerton; Angela Djuric Paulin; Marko Simunovic; David C Williams; Samantha Halman; Christopher M Schlachta; Jessica Shelley; John Harlock; Ralph M Meyer; Michelle Graham; Harsha Shanthanna; Neil Parry; David R Pichora; Haroon Yousef; Husein Moloo; Herman Sehmbi; Melissa Waggott; Emilie P Belley-Cote; Richard Whitlock; P J Devereaux
Journal:  CMAJ Open       Date:  2021-03-02
  1 in total

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