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      Evaluation of a Pharmacist-Managed Nonsteroidal Anti-Inflammatory Drugs Deprescribing Program in an Integrated Health Care System

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      , PharmD, BCPS 1 , , PharmD, BCGP, PMP 2 , , MS 3 , , PharmD, BCGP 2 , , MD, MPH 4 , , MD, FACP 4 , , PharmD, MS 5 , *
      Journal of Managed Care & Specialty Pharmacy
      Academy of Managed Care Pharmacy

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          Abstract

          BACKGROUND:

          Nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly used to treat symptoms of chronic inflammatory diseases such as osteoarthritis and rheumatoid arthritis; however, they are also associated with various adverse effects, including gastrointestinal (GI) bleeding and renal harm. As patients get older, some medications may no longer be beneficial or may even cause harm. Deprescribing is defined as the planned and supervised process of dose reduction or discontinuation of medications. While there are studies showing that deprescribing strategies with several classes of medications positively affects outcomes in elderly patients, there is a lack of strong evidence and guidance to deprescribe NSAIDs.

          OBJECTIVE:

          To evaluate the effectiveness, safety, and economic impact of pharmacists deprescribing NSAIDs under the guidance of a standardized deprescribing program compared with usual care within an integrated health care system.

          METHODS:

          This retrospective, propensity score-matched cohort study included patients aged ≥ 65 years who were eligible for the NSAID deprescribing program from July 2016 to June 2018. Those patients in the deprescribing group were assessed by pharmacists and had their medications deprescribed. Patients who were eligible for the deprescribing program but did not receive any interventions were matched to the deprescribed group using propensity score matching at a 4:1 ratio and became the usual care group. Patients were followed for 6 months, until end of membership, or until death, whichever occurred first. The effectiveness and safety outcomes included rates of 3 adverse events: GI bleeds, acute kidney injuries (AKI), and exacerbation of pain triggering a hospitalization or emergency room visit. The economic outcome was the change in monthly NSAID cost. Descriptive statistics, t-tests, chi-square tests, and conditional logistic regression models were used for analysis.

          RESULTS:

          There were 431 patients in the deprescribed group and 1,724 patients in the usual care group, with similar baseline characteristics after propensity score matching. The adjusted results showed no significant difference between the deprescribed and usual care groups for GI bleed events (OR = 0.65, 95% CI = 0.36-1.16, P = 0.15) and AKI (OR = 0.53, 95% CI = 0.24-1.16, P = 0.11). The deprescribed group experienced a significant 2-fold decrease in the odds of exacerbation of pain versus the deprescribed group (OR = 0.50, 95% CI = 0.33-0.77, P < 0.01). Finally, there was no significant difference in the change in monthly NSAIDs costs between the 2 groups (median change, IQR: -$0.29, -$2.37 to -$0.11 for deprescribed group; -$0.23, -2.59 to 0.00 for usual care group, P = 0.054).

          CONCLUSIONS:

          Although this study did not find any difference in the rate of GI bleed or AKI, we found a significant decrease in the rate of exacerbation of pain in the deprescribed group versus the usual care group. This result suggests that deprescribing NSAIDs did not cause harm during the 6-month follow-up. Further long-term studies are necessary to validate these outcomes.

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          Most cited references15

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          Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

          Implementation of the International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system presents challenges for using administrative data. Recognizing this, we conducted a multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms. ICD-10 coding algorithms were developed by "translation" of the ICD-9-CM codes constituting Deyo's (for Charlson comorbidities) and Elixhauser's coding algorithms and by physicians' assessment of the face-validity of selected ICD-10 codes. The process of carefully developing ICD-10 algorithms also produced modified and enhanced ICD-9-CM coding algorithms for the Charlson and Elixhauser comorbidities. We then used data on in-patients aged 18 years and older in ICD-9-CM and ICD-10 administrative hospital discharge data from a Canadian health region to assess the comorbidity frequencies and mortality prediction achieved by the original ICD-9-CM algorithms, the enhanced ICD-9-CM algorithms, and the new ICD-10 coding algorithms. Among 56,585 patients in the ICD-9-CM data and 58,805 patients in the ICD-10 data, frequencies of the 17 Charlson comorbidities and the 30 Elixhauser comorbidities remained generally similar across algorithms. The new ICD-10 and enhanced ICD-9-CM coding algorithms either matched or outperformed the original Deyo and Elixhauser ICD-9-CM coding algorithms in predicting in-hospital mortality. The C-statistic was 0.842 for Deyo's ICD-9-CM coding algorithm, 0.860 for the ICD-10 coding algorithm, and 0.859 for the enhanced ICD-9-CM coding algorithm, 0.868 for the original Elixhauser ICD-9-CM coding algorithm, 0.870 for the ICD-10 coding algorithm and 0.878 for the enhanced ICD-9-CM coding algorithm. These newly developed ICD-10 and ICD-9-CM comorbidity coding algorithms produce similar estimates of comorbidity prevalence in administrative data, and may outperform existing ICD-9-CM coding algorithms.
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            What is polypharmacy? A systematic review of definitions

            Background Multimorbidity and the associated use of multiple medicines (polypharmacy), is common in the older population. Despite this, there is no consensus definition for polypharmacy. A systematic review was conducted to identify and summarise polypharmacy definitions in existing literature. Methods The reporting of this systematic review conforms to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist. MEDLINE (Ovid), EMBASE and Cochrane were systematically searched, as well as grey literature, to identify articles which defined the term polypharmacy (without any limits on the types of definitions) and were in English, published between 1st January 2000 and 30th May 2016. Definitions were categorised as i. numerical only (using the number of medications to define polypharmacy), ii. numerical with an associated duration of therapy or healthcare setting (such as during hospital stay) or iii. Descriptive (using a brief description to define polypharmacy). Results A total of 1156 articles were identified and 110 articles met the inclusion criteria. Articles not only defined polypharmacy but associated terms such as minor and major polypharmacy. As a result, a total of 138 definitions of polypharmacy and associated terms were obtained. There were 111 numerical only definitions (80.4% of all definitions), 15 numerical definitions which incorporated a duration of therapy or healthcare setting (10.9%) and 12 descriptive definitions (8.7%). The most commonly reported definition of polypharmacy was the numerical definition of five or more medications daily (n = 51, 46.4% of articles), with definitions ranging from two or more to 11 or more medicines. Only 6.4% of articles classified the distinction between appropriate and inappropriate polypharmacy, using descriptive definitions to make this distinction. Conclusions Polypharmacy definitions were variable. Numerical definitions of polypharmacy did not account for specific comorbidities present and make it difficult to assess safety and appropriateness of therapy in the clinical setting.
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              A Comprehensive Review of Non-Steroidal Anti-Inflammatory Drug Use in The Elderly

              NSAIDs, non-steroidal anti-inflammatory drugs, are one of the most commonly prescribed pain medications. It is a highly effective drug class for pain and inflammation; however, NSAIDs are known for multiple adverse effects, including gastrointestinal bleeding, cardiovascular side effects, and NSAID induced nephrotoxicity. As our society ages, it is crucial to have comprehensive knowledge of this class of medication in the elderly population. Therefore, we reviewed the pharmacodynamics and pharmacokinetics, current guidelines for NSAIDs use, adverse effect profile, and drug interaction of NSAIDs and commonly used medications in the elderly.
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                Author and article information

                Journal
                J Manag Care Spec Pharm
                J Manag Care Spec Pharm
                jmcsp
                Journal of Managed Care & Specialty Pharmacy
                Academy of Managed Care Pharmacy
                2376-0540
                2376-1032
                July 2020
                : 26
                : 7
                : 10.18553/jmcp.2020.26.7.918
                Affiliations
                [1 ]Ambulatory Care Pharmacy, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California.
                [2 ]Clinical Pharmacy Services, Kaiser Permanente Northern California Region, Oakland.
                [3 ]Pharmacy Outcomes Research Group, Kaiser Permanente California Regions, Downey.
                [4 ]The Permanente Medical Group, Kaiser Permanente Northern California Region, Oakland.
                [5 ]Pharmacy Outcomes Research Group, Kaiser Permanente California Regions, Oakland.
                Author notes
                [* ]AUTHOR CORRESPONDENCE: Rita Hui, PharmD, MS, Pharmacy Outcomes Research Group, Kaiser Permanente California Regions, 1800 Harrison St., #1301, Oakland, CA 94612. Tel.: 510.625.3948; E-mail: Rita.L.Hui@ 123456kp.org .

                No funding was provided to support this research study. The authors of this study have no actual or potential conflicts of interest to report.

                Parts of this study were presented in a nonreviewed resident poster at the AMCP Managed Care and Specialty Pharmacy Annual Meeting; March 25-28, 2019; San Diego, CA.

                Article
                10.18553/jmcp.2020.26.7.918
                10391032
                32584681
                59b9e7da-36de-49e2-828a-a867a681b341
                Copyright © 2020, Academy of Managed Care Pharmacy. All rights reserved.

                This article is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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