Literature DB >> 29100587

Assessment of risk factors for increased resource utilization in kidney transplantation.

Steven Craig Vranian1, Kelly L Covert2, Caitlin R Mardis3, John W McGillicuddy4, Kenneth D Chavin5, Derek Dubay4, David J Taber6.   

Abstract

BACKGROUND: There are only a limited number of studies that have sought to identify patients at high risk for medication errors and subsequent adverse clinical outcomes. This study sought to identify risk factors for increased health care resource utilization in kidney transplant recipients based on drug-related problems and self-administered surveys.
METHODS: In this prospective observational study, adult kidney transplant recipients seen in the transplant clinic between September and November 2015 were surveyed for self-reported demographics, medication adherence, and health status/outlook. Subsequently, patients were assessed for associations between survey results, pharmacist-derived drug-related problems, and health resource utilization over a minimum 6-mo follow-up period. Based on univariate associations, two risk cohorts were identified and compared for health care utilization using multivariable Poisson regression.
RESULTS: A total of 237 patients were included, with a mean follow-up of 8 mo. From the patient survey data, Medicaid insured or self-rated poor health status were identified as a significant risk cohort. From pharmacist assessments, those who received incorrect medication or lacked appropriate follow-up medication monitoring were identified as a significant risk cohort (pharmacy errors). The Medicaid insured or self-rated poor health status cohort experienced 43% more total health care encounters (incident rate ratios [IRR] 1.43, 1.01-2.02) and 35% more transplant clinic visits (IRR 1.35, 1.03-1.77). The pharmacy errors cohort experienced 4.2 times the rate of total health care encounters (IRR 4.17, 1.55-11.2), 4.1 times the rate of hospital readmissions (IRR 4.09, 1.58-10.6), and 2.3 times the rate of transplant clinic visits (IRR 2.31, 1.04-5.11).
CONCLUSIONS: Medicaid insurance, self-rated poor health status, and errors in the medication regimen or monitoring were significant risk factors for increased health care utilization in kidney transplant recipients. Further research is warranted to validate these potential risk factors, determine the long-term impact on graft/patient survival, and assess the mutability of these risks through prospective identification and intervention.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical tool; Health care utilization; Kidney transplantation; Outcomes; Risk factors

Mesh:

Year:  2018        PMID: 29100587      PMCID: PMC5742052          DOI: 10.1016/j.jss.2017.09.037

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  12 in total

1.  Profiles of noncompliance in patients with a functioning renal transplant: a multicenter study. Compliance Study Group.

Authors:  B Siegal; S M Greenstein
Journal:  Transplant Proc       Date:  1999 Feb-Mar       Impact factor: 1.066

2.  Clinical and economic outcomes associated with medication errors in kidney transplantation.

Authors:  David J Taber; Justin R Spivey; Victoria M Tsurutis; Nicole A Pilch; Holly B Meadows; James N Fleming; John W McGillicuddy; Charles F Bratton; Frank A Treiber; Prabhakar K Baliga; Kenneth D Chavin
Journal:  Clin J Am Soc Nephrol       Date:  2014-04-24       Impact factor: 8.237

3.  Development of an aggregated system for classifying causes of drug-related problems.

Authors:  Benjamin J Basger; Rebekah J Moles; Timothy F Chen
Journal:  Ann Pharmacother       Date:  2015-01-22       Impact factor: 3.154

4.  Medication errors in the outpatient setting: classification and root cause analysis.

Authors:  Amy L Friedman; Sarah R Geoghegan; Noelle M Sowers; Sanjay Kulkarni; Richard N Formica
Journal:  Arch Surg       Date:  2007-03

5.  Comorbid conditions in kidney transplantation: association with graft and patient survival.

Authors:  Christine Wu; Idris Evans; Raymond Joseph; Ron Shapiro; Henkie Tan; Amit Basu; Cynthia Smetanka; Ahktar Khan; Jerry McCauley; Mark Unruh
Journal:  J Am Soc Nephrol       Date:  2005-09-21       Impact factor: 10.121

6.  Emergency Department Visits after Kidney Transplantation.

Authors:  Jesse D Schold; Nissreen Elfadawy; Laura D Buccini; David A Goldfarb; Stuart M Flechner; Michael P Phelan; Emilio D Poggio
Journal:  Clin J Am Soc Nephrol       Date:  2016-03-24       Impact factor: 8.237

7.  Early hospital readmission after kidney transplantation: patient and center-level associations.

Authors:  M A McAdams-Demarco; M E Grams; E C Hall; J Coresh; D L Segev
Journal:  Am J Transplant       Date:  2012-09-27       Impact factor: 8.086

8.  Development of a Predictive Model for Drug-Related Problems in Kidney Transplant Recipients.

Authors:  Kelly L Covert; Caitlin R Mardis; James N Fleming; Nicole A Pilch; Holly B Meadows; Benjamin A Mardis; Prince Mohan; Maria Posadas-Salas; Titte Srinivas; David J Taber
Journal:  Pharmacotherapy       Date:  2017-02-03       Impact factor: 4.705

9.  Resource utilization among kidney transplant recipients.

Authors:  Samina Khan; Hocine Tighiouart; Aarti Kalra; Gowri Raman; Richard J Rohrer; Brian J G Pereira
Journal:  Kidney Int       Date:  2003-08       Impact factor: 10.612

10.  Predictive validity of a medication adherence measure in an outpatient setting.

Authors:  Donald E Morisky; Alfonso Ang; Marie Krousel-Wood; Harry J Ward
Journal:  J Clin Hypertens (Greenwich)       Date:  2008-05       Impact factor: 2.885

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  1 in total

1.  Pharmacist-Led, Technology-Assisted Study to Improve Medication Safety, Cardiovascular Risk Factor Control, and Racial Disparities in Kidney Transplant Recipients.

Authors:  David J Taber; Mulugeta Gebregziabher; Aurora Posadas; Caitlin Schaffner; Leonard E Egede; Prabhakar K Baliga
Journal:  J Am Coll Clin Pharm       Date:  2018-06-21
  1 in total

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