Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-04T21:43:16.663Z Has data issue: false hasContentIssue false

Cost evaluation of a nurse coordinated outpatient parenteral antimicrobial therapy (OPAT) program

Published online by Cambridge University Press:  03 January 2024

Huiwen Deng
Affiliation:
Department of Pharmacy Systems, Outcomes and Policy, University of Illinois Chicago College of Pharmacy, Chicago, IL, USA
Alan E. Gross
Affiliation:
Department of Pharmacy Practice, University of Illinois Chicago College of Pharmacy, Chicago, IL, USA
Andrew B. Trotter
Affiliation:
Division of Infectious Disease, Department of Medicine, University of Illinois Chicago College of Medicine, Chicago, IL, USA
Daniel R. Touchette*
Affiliation:
Department of Pharmacy Systems, Outcomes and Policy, University of Illinois Chicago College of Pharmacy, Chicago, IL, USA
*
Corresponding author: Daniel R. Touchette; Email: [email protected]

Abstract

A structured, nurse-driven outpatient parenteral antimicrobial therapy (OPAT) program within an academic healthcare system was associated with reduced odds of 60-day unplanned OPAT readmissions and costs after hospital discharge. These findings may facilitate justifying additional resources for OPAT programs to improve care while decreasing costs.

Type
Concise Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Introduction

Compared with inpatient parenteral antimicrobial therapies, outpatient parenteral antimicrobial therapy (OPAT) provides a more cost-effective option for delivering intravenous antimicrobials to medically stable patients. Reference Norris, Shrestha and Allison1Reference Staples, Ho and Ferris3 However, OPAT carries risks like catheter complications and requires a multidisciplinary team for safe and effective treatment management. Reference Norris, Shrestha and Allison1,Reference Staples, Ho and Ferris3

Before 2017, the University of Illinois Hospital and Health Sciences System (UI Health) OPAT program was overseen exclusively by infectious disease physicians without administrative staff for care coordination. Reference Means, Bleasdale and Sikka4 The integration of an OPAT nurse in October 2017, who oversees treatment coordination, monitoring, and documentation, led to a 10% reduction in unplanned OPAT-related readmissions during the OPAT therapy, as identified by Agnihotri et al. Reference Agnihotri, Gross and Seok5 However, this study did not explore readmissions at standardized follow-up periods post-discharge or the accompanying costs of these readmissions between the pre- and post-intervention programs. The primary objectives of this report were to quantify odds ratios (ORs) of unplanned OPAT-related readmissions within 30 and 60 days post-discharge between the pre- and post-intervention programs and to evaluate associated costs from the payers’ perspective.

Methods

Setting, participants, and intervention

This was a retrospective observational cohort study of patients who received OPAT after hospital discharge at UI Health. The study design and participant selection were described in previous studies. Reference Means, Bleasdale and Sikka4,Reference Agnihotri, Gross and Seok5 In brief, we included patients aged 18 years and older, who received OPAT through a peripherally inserted central catheter for at least two days and had an infectious diseases consultation during the index hospitalization. Patients with cystic fibrosis were excluded. We collected UI Health records from January 2012 to August 2013 for the preintervention program and from October 2017 to January 2019 for the post-intervention program. The Institutional Review Board of the University of Illinois at Chicago approved this study.

Outcomes

This study’s primary outcomes were ORs for unplanned OPAT-related hospital readmissions within 30 and 60 days after hospital discharge, along with the associated costs. Two infectious disease clinicians reviewed OPAT patients’ medical records to indentify such readmissions, which were OPAT-related if they resulted from complications like infection recurrence, adverse drug reactions, or catheter-related problems. Hospital reimbursement costs for readmissions within 60 days were calculated and adjusted to 2019 US dollars, with cumulative costs for patients experiencing multiple OPAT-related readmissions.

Statistical analysis

We compared 12-month baseline characteristics linked to OPAT-related readmissions and associated costs before and after the nurse-integrated structured OPAT program was established. Multivariate logistic regression was employed to calculate readmission ORs with 95% CIs, and Hosmer–Lemeshow test to evaluate the goodness of model fits. The model covariates were chosen based on a change-in-estimate criterion with a cutoff of 10%. Reference LaMorte6 To analyze cost associations with unplanned readmissions, we utilized a zero-inflated two-part model for its semicontinuous distribution. We incorporated logistic regression for the high zero cost prevalence and a gamma-distributed generalized linear model with log link to count for nonzero cost data distribution variability. Reference Farewell, Long and Tom7 Akaike’s Information Criteria and Bayesian Information Criteria were used to select the covariates in the two-part model, with lower values indicating better goodness of model fits. Margins estimation was then applied to predict the adjusted average readmission costs in both programs using model prediction equations. Reference Williams8 A P value of less than 0.05 was indicative of statistically significant results. All analyses were conducted using Stata version 17 (College Station, TX: StataCorp LLC).

Results

The study included 428 eligible patients in total, with 73 from the preintervention group and 355 from the post-intervention group. Patient demographics are listed in Table 1.

Table 1. Descriptive characteristics of patients enrolled in the preintervention and post-intervention OPAT programs

*Excluded 1 observation because of numeric error in the record.

**Ambulatory sites include home and infusion center; nonambulatory sites include skilled nursing facility, subacute rehabilitation facility, and unknown sites.

Unplanned 30- and 60-day OPAT readmissions

After the implementation of the structured OPAT program, the unplanned 30- and 60-day OPAT-related readmission rates decreased from 15.1% and 17.8% to 5.9% and 6.2%, respectively (Table 2). The use of vancomycin during 12-month baseline period was identified as an independent predictor of readmission based on the prespecified change-in-estimate criterion. Upon adjusting for vancomycin use, the adjusted estimates suggested a nonsignificant 52% reduction in the odds of 30-day readmissions (Table 3, 95% CI: 0.22–1.05, P value: 0.067) and a significant 58% reduction in the odds of 60-day readmissions (95% CI: 0.19–0.91, P value: 0.028) for the post-intervention group relative to the preintervention group. The Hosmer–Lemeshow tests validated the good fit of the models, indicated by nonsignificant P values exceeding 0.05.

Table 2. Frequencies of 30-day and 60-day unplanned OPAT-related hospital readmissions between OPAT programs, n (%)

Table 3. Association between OPAT programs and 30-day and 60-day unplanned OPAT-related hospital readmissions

*Adjusted for use of vancomycin.

Associated readmission costs

Table 4 delineates the relationship between OPAT program types and the costs of unplanned readmissions within 60 days post-discharge. Compared to the preintervention group, post-intervention patients exhibited a lower likelihood of incurring any OPAT-related hospital cost (OR = 0.37; 95% CI: 0.17–0.82; P value: 0.015). However, for patients readmitted due to OPAT, the costs of hospitalization did not significantly differ between the programs (OR= 0.93; 95% CI: 0.49–1.74; P value: 0.810). After adjustments for age and any intensive care unit visit during the initial hospital stay, the average predicted readmission costs were $5,685 for the preintervention group versus $2,201 for the post-intervention group, reflecting a 61.3% cost reduction.

Table 4. Adjusted ratios for unplanned OPAT-related readmission cost between pre- and post-intervention programs*

**Adjusted for age and any intensive care unit visit during index hospitalization.

Discussion

Our findings corroborate those of Agnihotri et al., which evaluated unplanned OPAT-related readmissions at any time. Reference Agnihotri, Gross and Seok5 At 60 days, unplanned OPAT-related readmissions were lower in the post-intervention program with a similar proportion of patients hospitalized to what was previously reported. However, the ORs of readmission between the two programs were not statistically different at 30-days, potentially due to insufficient power to detect the smaller observed difference in hospitalizations between the two programs. The costs of OPAT-related readmissions, but not readmissions due to OPAT, were also substantially lower. To the best of our knowledge, this is the first study to examine the comparative costs for two OPAT programs with different care coordination structures.

Previous research on the cost-effectiveness of nurse-facilitated disease management programs has produced mixed results. Reference Bryant-Lukosius, Carter and Reid9,10 A systematic review of transitional care from hospital to home for diverse patient groups, such as those recovering from cancer surgery and heart failure patients, showed that nurse-led coordination significantly lowers readmission rates and associated costs when contrasted with noncoordinated care approaches. Reference Bryant-Lukosius, Carter and Reid9 Conversely, an evaluation of 34 Medicare programs catering to patients with chronic conditions indicated no reduction in hospital readmission rates after integrating nurse coordination, except in cases where nurse coordinators had considerable direct interactions with both physicians and patients. 10 Costs in these nurse-coordinated programs were generally unchanged or higher after accounting for labor and program fees. 10 It’s important to note that the costs evaluated in prior studies were more comprehensive, whereas our study specifically examines OPAT readmission-related costs.

The study is subject to several limitations. Its retrospective nature and single-center scope may affect the generalizability of the findings. We also compared past and recent OPAT programs, risking confounding due to historical changes in healthcare practices. Although demographic predictors of outcomes were accounted for, the potential for residual confounding remains, and systematic variations may persist among patients enrolled in different programs. The analysis captured only follow-up care provided at UI Health. Additionally, the cost analysis focused exclusively on unplanned OPAT readmission reimbursements, excluding other related expenses and program fees, and was conducted solely from the payer’s perspective. Future research should expand to evaluate the broader economic impact of nurse-coordinated OPAT programs, incorporating indirect costs and from patient, hospital, and societal perspectives.

Acknowledgments

None.

Author contribution

AG, AT, DT, and HD conceived the study question. DT and HD planned the study design. HD performed the analyses and drafted the manuscript. All authors provided critical feedback to the manuscript.

Financial statement

UIC Center for Clinical and Translational Science UL1TR002003

Competing interests

HD was a research fellow with AbbVie Inc during the year 2020–2022.

AG has received honoraria as a consultant for Becton, Dickinson and Company.

DRT is the Senior Scientific Advisor for Monument Analytics, a consultant for Astra Zeneca, and has received research funding provided to the University of Illinois Chicago (UIC) from the Institute for Clinical and Economic Review (ICER), AbbVie Inc, and Takeda awarded to the University of Illinois at Chicago. Dr. Touchette also receives royalties for economic models developed for and licensed to ICER through UIC.

Related article

This work is an extension of a previously published article, entitled “Decreased hospital readmissions after programmatic strengthening of an outpatient parenteral antimicrobial therapy (OPAT) program,” which was published on February 21, 2023, with a DOI https://doi.org/10.1017/ash.2022.330.

References

Norris, AH, Shrestha, NK, Allison, GM, et al. 2018 Infectious Diseases Society of America Clinical Practice Guideline for the management of outpatient parenteral antimicrobial therapy. Clin Infect Dis 2018;68:e1e35.CrossRefGoogle Scholar
Chapman, A, Dixon, S, Andrews, D, et al. Clinical efficacy and cost-effectiveness of outpatient parenteral antibiotic therapy (OPAT): a UK perspective. J Antimicrob Chemother 2009;64:13161324.CrossRefGoogle Scholar
Staples, JA, Ho, M, Ferris, D, et al. Outpatient versus inpatient intravenous antimicrobial therapy: a population-based observational cohort study of adverse events and costs. Clin Infect Dis 2022;75:19211929.CrossRefGoogle ScholarPubMed
Means, L, Bleasdale, S, Sikka, M, et al. Predictors of hospital readmission in patients receiving outpatient parenteral antimicrobial therapy. Pharmacotherapy 2016;36:934939.CrossRefGoogle ScholarPubMed
Agnihotri, G, Gross, AE, Seok, M, et al. Decreased hospital readmissions after programmatic strengthening of an outpatient parenteral antimicrobial therapy (OPAT) program. Antimicrob Steward Healthc Epidemiol 2023;3:e33.CrossRefGoogle ScholarPubMed
LaMorte, W. Adjusting for Confounding in the Analysis, PH717 Module 11 - Confounding and Effect Measure Modification. Boston, USA: Boston University School of Public Health; 2021.Google Scholar
Farewell, V, Long, D, Tom, B, et al. Two-part and related regression models for longitudinal data. Annu Rev Stat Appl 2017;4:283315.CrossRefGoogle ScholarPubMed
Williams, R. Using the margins command to estimate and interpret adjusted predictions and marginal effects. Stata J 2012;12:308331.CrossRefGoogle Scholar
Bryant-Lukosius, D, Carter, N, Reid, K, et al. The clinical effectiveness and cost-effectiveness of clinical nurse specialist-led hospital to home transitional care: a systematic review. J Eval Clin Pract 2015;21:763–81.CrossRefGoogle ScholarPubMed
Institute of Medicine Roundtable on Evidence-Based Medicine. The Healthcare Imperative. USA: National Academies Press; 2010 Google Scholar
Figure 0

Table 1. Descriptive characteristics of patients enrolled in the preintervention and post-intervention OPAT programs

Figure 1

Table 2. Frequencies of 30-day and 60-day unplanned OPAT-related hospital readmissions between OPAT programs, n (%)

Figure 2

Table 3. Association between OPAT programs and 30-day and 60-day unplanned OPAT-related hospital readmissions

Figure 3

Table 4. Adjusted ratios for unplanned OPAT-related readmission cost between pre- and post-intervention programs*