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Tlili NE, Robert L, Gerard E, Lemaitre M, Vambergue A, Beuscart JB, Quindroit P. A systematic review of the value of clinical decision support systems in the prescription of antidiabetic drugs. Int J Med Inform 2024; 191:105581. [PMID: 39106772 DOI: 10.1016/j.ijmedinf.2024.105581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 07/23/2024] [Accepted: 07/28/2024] [Indexed: 08/09/2024]
Abstract
INTRODUCTION The management of chronic diabetes mellitus and its complications demands customized glycaemia control strategies. Polypharmacy is prevalent among people with diabetes and comorbidities, which increases the risk of adverse drug reactions. Clinical decision support systems (CDSSs) may constitute an innovative solution to these problems. The aim of our study was to conduct a systematic review assessing the value of CDSSs for the management of antidiabetic drugs (AD). MATERIALS AND METHODS We systematically searched the scientific literature published between January 2010 and October 2023. The retrieved studies were categorized as non-specific or AD-specific. The studies' quality was assessed using the Mixed Methods Appraisal Tool. The review's results were reported in accordance with the PRISMA guidelines. RESULTS Twenty studies met our inclusion criteria. The majority of AD-specific studies were conducted more recently (2020-2023) compared to non-specific studies (2010-2015). This trend hints at growing interest in more specialized CDSSs tailored for prescriptions of ADs. The nine AD-specific studies focused on metformin and insulin and demonstrated positive impacts of the CDSSs on different outcomes, including the reduction in the proportion of inappropriate prescriptions of ADs and in hypoglycaemia events. The 11 nonspecific studies showed similar trends for metformin and insulin prescriptions, although the CDSSs' impacts were not significant. There was a predominance of metformin and insulin in the studied CDSSs and a lack of studies on ADs such as sodium-glucose cotransporter-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists. CONCLUSION The limited number of studies, especially randomized clinical trials, interested in evaluating the application of CDSS in the management of ADs underscores the need for further investigations. Our findings suggest the potential benefit of applying CDSSs to the prescription of ADs particularly in primary care settings and when targeting clinical pharmacists. Finally, establishing core outcome sets is crucial for ensuring consistent and standardized evaluation of these CDSSs.
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Affiliation(s)
- Nour Elhouda Tlili
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France.
| | - Laurine Robert
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France; Institut de Pharmacie, CHU Lille, F-59000 Lille, France
| | - Erwin Gerard
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France; Institut de Pharmacie, CHU Lille, F-59000 Lille, France
| | - Madleen Lemaitre
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France; CHU Lille, Department of Diabetology, Endocrinology, Metabolism and Nutrition, Lille University Hospital, F-59000, Lille, France
| | - Anne Vambergue
- CHU Lille, Department of Diabetology, Endocrinology, Metabolism and Nutrition, Lille University Hospital, F-59000, Lille, France; European Genomic Institute for Diabetes, Lille University School of Medicine, F-59000 Lille, France
| | - Jean-Baptiste Beuscart
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France
| | - Paul Quindroit
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France
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Hall RK, Kazancıoğlu R, Thanachayanont T, Wong G, Sabanayagam D, Battistella M, Ahmed SB, Inker LA, Barreto EF, Fu EL, Clase CM, Carrero JJ. Drug stewardship in chronic kidney disease to achieve effective and safe medication use. Nat Rev Nephrol 2024; 20:386-401. [PMID: 38491222 DOI: 10.1038/s41581-024-00823-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2024] [Indexed: 03/18/2024]
Abstract
People living with chronic kidney disease (CKD) often experience multimorbidity and require polypharmacy. Kidney dysfunction can also alter the pharmacokinetics and pharmacodynamics of medications, which can modify their risks and benefits; the extent of these changes is not well understood for all situations or medications. The principle of drug stewardship is aimed at maximizing medication safety and effectiveness in a population of patients through a variety of processes including medication reconciliation, medication selection, dose adjustment, monitoring for effectiveness and safety, and discontinuation (deprescribing) when no longer necessary. This Review is aimed at serving as a resource for achieving optimal drug stewardship for patients with CKD. We describe special considerations for medication use during pregnancy and lactation, during acute illness and in patients with cancer, as well as guidance for the responsible use of over-the-counter drugs, herbal remedies, supplements and sick-day rules. We also highlight inequities in medication access worldwide and suggest policies to improve access to quality and essential medications for all persons with CKD. Further strategies to promote drug stewardship include patient education and engagement, the use of digital health tools, shared decision-making and collaboration within interdisciplinary teams. Throughout, we position the person with CKD at the centre of all drug stewardship efforts.
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Affiliation(s)
- Rasheeda K Hall
- Division of Nephrology, Department of Medicine, and Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | | | | | - Germaine Wong
- Sydney School of Public Health, University of Sydney, Sydney, Australia
| | | | | | - Sofia B Ahmed
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Lesley A Inker
- Division of Nephrology, Department of Internal Medicine, Tufts Medical Center, Boston, MA, USA
| | | | - Edouard L Fu
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Catherine M Clase
- Department of Medicine and Health Research Methods, Evidence and Impact, McMaster University, Ontario, Canada
| | - Juan J Carrero
- Medical Epidemiology and Biostatistics, Karolinska Institutet, and Division of Nephrology, Department of Clinical Sciences, Danderyd Hospital, Stockholm, Sweden.
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Wang V, Wang CH(L, Assimon MM, Pun PH, Winkelmayer WC, Flythe JE. Prescription and Dispensation of QT-Prolonging Medications in Individuals Receiving Hemodialysis. JAMA Netw Open 2024; 7:e248732. [PMID: 38687480 PMCID: PMC11061769 DOI: 10.1001/jamanetworkopen.2024.8732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 02/27/2024] [Indexed: 05/02/2024] Open
Abstract
Importance Individuals with dialysis-dependent kidney failure have numerous risk factors for medication-related adverse events, including receipt of care by multiple clinicians and initiation of some QT-prolonging medications with known risk of torsades de pointes (TdP), which is associated with higher risk of sudden cardiac death. Little is known about the prescription and dispensation patterns of QT-prolonging medications among people receiving dialysis, hindering efforts to reduce drug-related harm from these and other medications in this high-risk population. Objective To examine prescription and dispensation patterns of QT-prolonging medications with known TdP risk and selected interacting medications prescribed to individuals receiving hemodialysis. Design, Setting, and Participants This cross-sectional study included patients 60 years or older who were enrolled in Medicare Parts A, B, and D receiving in-center hemodialysis from January 1 to December 31, 2019. Analyses were conducted from October 20, 2022, to June 16, 2023. Exposures New-user prescriptions for the 7 most frequently filled QT-prolonging medications characterized by the timing of the new prescription relative to acute care encounters, the type of prescribing clinician and pharmacy that dispensed the medication, and concomitant use of selected medications known to interact with the 7 most frequently filled QT-prolonging medications with known TdP risk. Main Outcomes and Measures The main outcomes were the frequencies of the most commonly filled and new-use episodes of QT-prolonging medications; the timing of medication fills relative to acute care events; prescribers and dispensing pharmacy characteristics for new use of medications; and the frequency and types of new-use episodes with concurrent use of potentially interacting medications. Results Of 20 761 individuals receiving hemodialysis in 2019 (mean [SD] age, 74 [7] years; 51.1% male), 10 992 (52.9%) filled a study drug prescription. Approximately 80% (from 78.6% for odansetron to 93.9% for escitalopram) of study drug new-use prescriptions occurred outside of an acute care event. Between 36.8% and 61.0% of individual prescriptions originated from general medicine clinicians. Between 16.4% and 26.2% of these prescriptions occurred with the use of another QT-prolonging medication. Most potentially interacting drugs were prescribed by different clinicians (46.3%-65.5%). Conclusions and Relevance In this cross-sectional study, QT-prolonging medications for individuals with dialysis-dependent kidney failure were commonly prescribed by nonnephrology clinicians and from nonacute settings. Prescriptions for potentially interacting medications often originated from different prescribers. Strategies aimed at minimizing high-risk medication-prescribing practices in the population undergoing dialysis are needed.
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Affiliation(s)
- Virginia Wang
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, North Carolina
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Chin-Hua (Lily) Wang
- The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill
| | | | - Patrick H. Pun
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Wolfgang C. Winkelmayer
- Selzman Institute for Kidney Health, Section of Nephrology, Baylor College of Medicine, Houston, Texas
| | - Jennifer E. Flythe
- The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill
- University of North Carolina Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, The University of North Carolina School of Medicine, Chapel Hill
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Stevens PE, Ahmed SB, Carrero JJ, Foster B, Francis A, Hall RK, Herrington WG, Hill G, Inker LA, Kazancıoğlu R, Lamb E, Lin P, Madero M, McIntyre N, Morrow K, Roberts G, Sabanayagam D, Schaeffner E, Shlipak M, Shroff R, Tangri N, Thanachayanont T, Ulasi I, Wong G, Yang CW, Zhang L, Levin A. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int 2024; 105:S117-S314. [PMID: 38490803 DOI: 10.1016/j.kint.2023.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 10/31/2023] [Indexed: 03/17/2024]
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Li T, Wu B, Li L, Bian A, Ni J, Liu K, Qin Z, Peng Y, Shen Y, Lv M, Lu X, Xing C, Mao H. Automated Electronic Alert for the Care and Outcomes of Adults With Acute Kidney Injury: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2351710. [PMID: 38241047 PMCID: PMC10799260 DOI: 10.1001/jamanetworkopen.2023.51710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/03/2023] [Indexed: 01/22/2024] Open
Abstract
Importance Despite the expansion of published electronic alerts for acute kidney injury (AKI), there are still concerns regarding their effect on the clinical outcomes of patients. Objective To evaluate the effect of the AKI alert combined with a care bundle on the care and clinical outcomes of patients with hospital-acquired AKI. Design, Setting, and Participants This single-center, double-blind, parallel-group randomized clinical trial was conducted in a tertiary teaching hospital in Nanjing, China, from August 1, 2019, to December 31, 2021. The inclusion criteria were inpatient adults aged 18 years or older with AKI, which was defined using the Kidney Disease: Improving Global Outcomes creatinine criteria. Participants were randomized 1:1 to either the alert group or the usual care group, which were stratified by medical vs surgical ward and by intensive care unit (ICU) vs non-ICU setting. Analyses were conducted on the modified intention-to-treat population. Interventions A programmatic AKI alert system generated randomization automatically and sent messages to the mobile telephones of clinicians (alert group) or did not send messages (usual care group). A care bundle accompanied the AKI alert and consisted of general, nonindividualized, and nonmandatory AKI management measures. Main Outcomes and Measures The primary outcome was maximum change in estimated glomerular filtration rate (eGFR) within 7 days after randomization. Secondary patient-centered outcomes included death, dialysis, AKI progression, and AKI recovery. Care-centered outcomes included diagnostic and therapeutic interventions for AKI. Results A total of 2208 patients (median [IQR] age, 65 [54-72] years; 1560 males [70.7%]) were randomized to the alert group (n = 1123) or the usual care group (n = 1085) and analyzed. Within 7 days of randomization, median (IQR) maximum absolute changes in eGFR were 3.7 (-6.4 to 19.3) mL/min/1.73 m2 in the alert group and 2.9 (-9.2 to 16.9) mL/min/1.73 m2 in the usual care group (P = .24). This result was robust in all subgroups in an exploratory analysis. For care-centered outcomes, patients in the alert group had more intravenous fluids (927 [82.6%] vs 670 [61.8%]; P < .001), less exposure to nonsteroidal anti-inflammatory drugs (56 [5.0%] vs 119 [11.0%]; P < .001), and more AKI documentation at discharge (560 [49.9%] vs 296 [27.3%]; P < .001) than patients in the usual care group. No differences were observed in patient-centered secondary outcomes between the 2 groups. Conclusions and Relevance Results of this randomized clinical trial showed that the electronic AKI alert did not improve kidney function or other patient-centered outcomes but changed patient care behaviors. The findings warrant the use of a combination of high-quality interventions and AKI alert in future clinical practice. Trial Registration ClinicalTrials.gov Identifier: NCT03736304.
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Affiliation(s)
- Ting Li
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Buyun Wu
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Li
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ao Bian
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Juan Ni
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Kang Liu
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhongke Qin
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yudie Peng
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yining Shen
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Mengru Lv
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyi Lu
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Changying Xing
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huijuan Mao
- Department of Nephrology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Smith SN, Lanham M, Seagull FJ, Dorsch M, Errickson J, Barnes GD. Implementing pharmacist-prescriber collaboration to improve evidence-based anticoagulant use: a randomized trial. Implement Sci 2023; 18:16. [PMID: 37189171 PMCID: PMC10184412 DOI: 10.1186/s13012-023-01273-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 04/21/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Direct oral anticoagulant medications are commonly used to treat or prevent thrombotic conditions, such as pulmonary embolism, deep vein thrombosis, and atrial fibrillation. However, up to 10-15% of patients receiving these medications get unsafe doses based on a patient's kidney or liver function, potential interactions with other medications, and indication for taking the medication. Alert systems may be beneficial for improving evidence-based prescribing, but can be burdensome and are not currently able to provide monitoring after the initial prescription is written. METHODS/DESIGN This study will improve upon existing alert systems by testing novel medication alerts that encourage collaboration between prescribers (e.g., physicians, nurse practitioners, physician assistants) and expert pharmacists working in anticoagulation clinics. The study will also improve upon the existing alert system by incorporating dynamic long-term monitoring of patient needs and encouraging collaboration between prescribers and expert pharmacists working in anticoagulation clinics. Incorporating state-of-the-art user-centered design principles, prescribing healthcare providers will be randomized to different types of electronic health record medication alerts when a patient has an unsafe anticoagulant prescription. We will identify which alerts are most effective at encouraging evidence-based prescribing and will test moderators to tailor alert delivery to when it is most beneficial. The aims of the project are to (1) determine the effect of notifications targeting existing inappropriate DOAC prescriptions; (2) examine the effect of alerts on newly prescribed inappropriate DOACs; and (3) examine changes in the magnitude of effects over time for both the new prescription alerts and existing prescription notifications for inappropriate DOACs over the 18-month study period. DISCUSSION Findings from this project will establish a framework for implementing prescriber-pharmacist collaboration for high-risk medications, including anticoagulants. If effectively implemented at the more than 3000 anticoagulation clinics that exist nationally, hundreds of thousands of patients taking direct oral anticoagulants stand to benefit from safer, evidence-based healthcare. TRIALS REGISTRATION NCT05351749.
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Affiliation(s)
- Shawna N Smith
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Michael Lanham
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA
| | - F Jacob Seagull
- Center for Bioethics and Social Science in Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Michael Dorsch
- College of Pharmacy, University of Michigan, Ann Arbor, MI, USA
| | - Josh Errickson
- Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, MI, USA
| | - Geoffrey D Barnes
- Division of Cardiovascular Medicine, Department of Internal Medicine, Institute for Healthcare Policy and Innovation, Frankel Cardiovascular Center, University of Michigan, 2800 Plymouth Rd, Ann Arbor, MI, B14 G21448108, USA.
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Li YJ, Chang YL, Chou YC, Hsu CC. Hypoglycemia risk with inappropriate dosing of glucose-lowering drugs in patients with chronic kidney disease: a retrospective cohort study. Sci Rep 2023; 13:6373. [PMID: 37076583 PMCID: PMC10115797 DOI: 10.1038/s41598-023-33542-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 04/14/2023] [Indexed: 04/21/2023] Open
Abstract
The incidence rates and consequences of inappropriate dosing of glucose-lowering drugs remain limited in patients with chronic kidney disease (CKD). A retrospective cohort study was conducted to estimate the frequency of inappropriate dosing of glucose-lowering drugs and to evaluate the subsequent risk of hypoglycemia in outpatients with an estimated glomerular filtration rate (eGFR) of < 50 mL/min/1.73 m2. Outpatient visits were divided according to whether the prescription of glucose-lowering drugs included dose adjustment according to eGFR or not. A total of 89,628 outpatient visits were included, 29.3% of which received inappropriate dosing. The incidence rates of the composite of all hypoglycemia were 76.71 and 48.51 events per 10,000 person-months in the inappropriate dosing group and in appropriate dosing group, respectively. After multivariate adjustment, inappropriate dosing was found to lead to an increased risk of composite of all hypoglycemia (hazard ratio 1.52, 95% confidence interval 1.34, 1.73). In the subgroup analysis, there were no significant changes in the risk of hypoglycemia regardless of renal function (eGFR < 30 vs. 30-50 mL/min/1.73 m2). In conclusion, inappropriate dosing of glucose-lowering drugs in patients with CKD is common and associated with a higher risk of hypoglycemia.
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Affiliation(s)
- Yun-Jhe Li
- Department of Pharmacy, Taipei Veterans General Hospital, No. 201, Sect. 2, Shih-Pai Road, Taipei, 112, Taiwan
- Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan
- Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yuh-Lih Chang
- Department of Pharmacy, Taipei Veterans General Hospital, No. 201, Sect. 2, Shih-Pai Road, Taipei, 112, Taiwan
- Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Pharmacy, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yueh-Ching Chou
- Department of Pharmacy, Taipei Veterans General Hospital, No. 201, Sect. 2, Shih-Pai Road, Taipei, 112, Taiwan
- Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Pharmacy, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chia-Chen Hsu
- Department of Pharmacy, Taipei Veterans General Hospital, No. 201, Sect. 2, Shih-Pai Road, Taipei, 112, Taiwan.
- Department of Pharmacy, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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Mirpanahi N, Nabovati E, Sharif R, Amirazodi S, Karami M. Effects and characteristics of clinical decision support systems on the outcomes of patients with kidney disease: a systematic review. Hosp Pract (1995) 2023:1-14. [PMID: 37068105 DOI: 10.1080/21548331.2023.2203051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
OBJECTIVES This systematic review was conducted to investigate the characteristics and effects of clinical decision support systems (CDSSs) on clinical and process-of-care outcomes of patients with kidney disease. METHODS A comprehensive systematic search was conducted in electronic databases to identify relevant studies published until November 2020. Randomized clinical trials evaluating the effects of using electronic CDSS on at least one clinical or process-of-care outcome in patients with kidney disease were included in this study. The characteristics of the included studies, features of CDSSs, and effects of the interventions on the outcomes were extracted. Studies were appraised for quality using the Cochrane risk-of-bias assessment tool. RESULTS Out of 8722 retrieved records, 11 eligible studies measured 32 outcomes, including 10 clinical outcomes and 22 process-of-care outcomes. The effects of CDSSs on 45.5% of the process-of-care outcomes were statistically significant, and all the clinical outcomes were not statistically significant. Medication-related process-of-care outcomes were the most frequently measured (54.5%), and CDSSs had the most effective and positive effect on medication appropriateness (18.2%). The characteristics of CDSSs investigated in the included studies comprised automatic data entry, real-time feedback, providing recommendations, and CDSS integration with the Computerized Provider Order Entry system. CONCLUSION Although CDSS may potentially be able to improve processes of care for patients with kidney disease, particularly with regard to medication appropriateness, no evidence was found that CDSS affects clinical outcomes in these patients. Further research is thus required to determine the effects of CDSSs on clinical outcomes in patients with kidney diseases.
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Affiliation(s)
- Nasim Mirpanahi
- Health Information Management Research Center, Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran
| | - Ehsan Nabovati
- Health Information Management Research Center, Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran
| | - Reihane Sharif
- Health Information Management Research Center, Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran
| | - Shahrzad Amirazodi
- Health Information Management Research Center, Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran
| | - Mahtab Karami
- Department of Health Information Management & Technology, School of Public Health, Shahid Sadoughi (Yazd) Kashan University of Medical Sciences, Kashan, Iran
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Bülow C, Clausen SS, Lundh A, Christensen M. Medication review in hospitalised patients to reduce morbidity and mortality. Cochrane Database Syst Rev 2023; 1:CD008986. [PMID: 36688482 PMCID: PMC9869657 DOI: 10.1002/14651858.cd008986.pub4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND A medication review can be defined as a structured evaluation of a patient's medication conducted by healthcare professionals with the aim of optimising medication use and improving health outcomes. Optimising medication therapy though medication reviews may benefit hospitalised patients. OBJECTIVES We examined the effects of medication review interventions in hospitalised adult patients compared to standard care or to other types of medication reviews on all-cause mortality, hospital readmissions, emergency department contacts and health-related quality of life. SEARCH METHODS In this Cochrane Review update, we searched for new published and unpublished trials using the following electronic databases from 1 January 2014 to 17 January 2022 without language restrictions: the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform (ICTRP). To identify additional trials, we searched the reference lists of included trials and other publications by lead trial authors, and contacted experts. SELECTION CRITERIA We included randomised trials of medication reviews delivered by healthcare professionals for hospitalised adult patients. We excluded trials including outpatients and paediatric patients. DATA COLLECTION AND ANALYSIS Two review authors independently selected trials, extracted data and assessed risk of bias. We contacted trial authors for data clarification and relevant unpublished data. We calculated risk ratios (RRs) for dichotomous data and mean differences (MDs) or standardised mean differences (SMDs) for continuous data (with 95% confidence intervals (CIs)). We used the GRADE (Grades of Recommendation, Assessment, Development and Evaluation) approach to assess the overall certainty of the evidence. MAIN RESULTS In this updated review, we included a total of 25 trials (15,076 participants), of which 15 were new trials (11,501 participants). Follow-up ranged from 1 to 20 months. We found that medication reviews in hospitalised adults may have little to no effect on mortality (RR 0.96, 95% CI 0.87 to 1.05; 18 trials, 10,108 participants; low-certainty evidence); likely reduce hospital readmissions (RR 0.93, 95% CI 0.89 to 0.98; 17 trials, 9561 participants; moderate-certainty evidence); may reduce emergency department contacts (RR 0.84, 95% CI 0.68 to 1.03; 8 trials, 3527 participants; low-certainty evidence) and have very uncertain effects on health-related quality of life (SMD 0.10, 95% CI -0.10 to 0.30; 4 trials, 392 participants; very low-certainty evidence). AUTHORS' CONCLUSIONS Medication reviews in hospitalised adult patients likely reduce hospital readmissions and may reduce emergency department contacts. The evidence suggests that mediation reviews may have little to no effect on mortality, while the effect on health-related quality of life is very uncertain. Almost all trials included elderly polypharmacy patients, which limits the generalisability of the results beyond this population.
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Affiliation(s)
- Cille Bülow
- Department of Clinical Pharmacology, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Stine Søndersted Clausen
- The Research Unit for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Andreas Lundh
- Centre for Evidence-Based Medicine Odense (CEBMO) and Cochrane Denmark, University of Southern Denmark, Odense, Denmark
- Department of Respiratory Medicine and Infectious Diseases, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Mikkel Christensen
- Department of Clinical Pharmacology, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Copenhagen Center for Translational Research (CCTR), Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Schreier DJ, Barreto EF. Clinical Decision Support Tools for Reduced and Changing Kidney Function. KIDNEY360 2022; 3:1657-1659. [PMID: 36514741 PMCID: PMC9717660 DOI: 10.34067/kid.0005242022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 10/07/2022] [Indexed: 12/05/2022]
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11
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Chen W, Howard K, Gorham G, O'Bryan CM, Coffey P, Balasubramanya B, Abeyaratne A, Cass A. Design, effectiveness, and economic outcomes of contemporary chronic disease clinical decision support systems: a systematic review and meta-analysis. J Am Med Inform Assoc 2022; 29:1757-1772. [PMID: 35818299 PMCID: PMC9471723 DOI: 10.1093/jamia/ocac110] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 06/21/2022] [Accepted: 06/25/2022] [Indexed: 01/10/2023] Open
Abstract
Objectives Electronic health record-based clinical decision support (CDS) has the potential to improve health outcomes. This systematic review investigates the design, effectiveness, and economic outcomes of CDS targeting several common chronic diseases. Material and Methods We conducted a search in PubMed (Medline), EBSCOHOST (CINAHL, APA PsychInfo, EconLit), and Web of Science. We limited the search to studies from 2011 to 2021. Studies were included if the CDS was electronic health record-based and targeted one or more of the following chronic diseases: cardiovascular disease, diabetes, chronic kidney disease, hypertension, and hypercholesterolemia. Studies with effectiveness or economic outcomes were considered for inclusion, and a meta-analysis was conducted. Results The review included 76 studies with effectiveness outcomes and 9 with economic outcomes. Of the effectiveness studies, 63% described a positive outcome that favored the CDS intervention group. However, meta-analysis demonstrated that effect sizes were heterogenous and small, with limited clinical and statistical significance. Of the economic studies, most full economic evaluations (n = 5) used a modeled analysis approach. Cost-effectiveness of CDS varied widely between studies, with an estimated incremental cost-effectiveness ratio ranging between USD$2192 to USD$151 955 per QALY. Conclusion We summarize contemporary chronic disease CDS designs and evaluation results. The effectiveness and cost-effectiveness results for CDS interventions are highly heterogeneous, likely due to differences in implementation context and evaluation methodology. Improved quality of reporting, particularly from modeled economic evaluations, would assist decision makers to better interpret and utilize results from these primary research studies. Registration PROSPERO (CRD42020203716)
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Affiliation(s)
- Winnie Chen
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Kirsten Howard
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Gillian Gorham
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Claire Maree O'Bryan
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Patrick Coffey
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Bhavya Balasubramanya
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Asanga Abeyaratne
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Alan Cass
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
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12
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End-users feedback and perceptions associated with the implementation of a clinical-rule based Check of Medication Appropriateness service. BMC Med Inform Decis Mak 2022; 22:177. [PMID: 35790983 PMCID: PMC9258110 DOI: 10.1186/s12911-022-01921-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 06/28/2022] [Indexed: 11/16/2022] Open
Abstract
Background To support appropriate prescribing hospital-wide, the ‘Check of Medication Appropriateness’ (CMA) service was implemented at the University Hospitals Leuven. The CMA concerns a clinical rule based and pharmacist-led medication review service. The aim of this study was to explore both physicians’ and pharmacists’ feedback on the optimised CMA service to further improve the service. Methods An anonymous e-questionnaire was sent to all physicians active in the University Hospitals Leuven (n = 1631) and to all clinical pharmacists performing the CMA service (n = 16). Feedback was collected using multiple choice questions. During a 5-month period, physicians were also contacted in case of non-acceptance of recommendations to investigate barriers affecting implementation. Thematic analysis was performed and additional acceptance after telephone contact within 24 h was registered. Results A total of 119 physicians (7.3%) and 16 pharmacists (100%) completed the e-questionnaire. The overall service was assessed as clinically relevant to highly relevant by 77.7% of physicians. The main reasons for non-acceptance of recommendations were related to workload, work environment and time constraints. About two thirds (66.3%) of initially not-accepted recommendations were accepted after phone contact. A nearly full consensus was reached among pharmacists (15/16) on the centralised CMA being complementary to current clinical pharmacy activities. Two major barriers were reported by pharmacists: (1) too limited time allocation and (2) a large number of irrelevant alerts. Conclusions The CMA was perceived as clinically relevant by the majority of end-users. Acceptance rate of pharmaceutical recommendations was further increased by calling the physician. Increasing the specificity of clinical rules in the future is imperative. Supplementary Information The online version contains supplementary material available at 10.1186/s12911-022-01921-7.
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13
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Li YJ, Lee WS, Chang YL, Chou YC, Chiu YC, Hsu CC. Impact of a Clinical Decision Support System on Inappropriate Prescription of Glucose-Lowering Agents for Patients With Renal Insufficiency in an Ambulatory Care Setting. Clin Ther 2022; 44:710-722. [DOI: 10.1016/j.clinthera.2022.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/03/2022] [Accepted: 03/05/2022] [Indexed: 11/03/2022]
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14
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Ali SI, Jung SW, Bilal HSM, Lee SH, Hussain J, Afzal M, Hussain M, Ali T, Chung T, Lee S. Clinical Decision Support System Based on Hybrid Knowledge Modeling: A Case Study of Chronic Kidney Disease-Mineral and Bone Disorder Treatment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:226. [PMID: 35010486 PMCID: PMC8750681 DOI: 10.3390/ijerph19010226] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 12/20/2021] [Indexed: 11/30/2022]
Abstract
Clinical decision support systems (CDSSs) represent the latest technological transformation in healthcare for assisting clinicians in complex decision-making. Several CDSSs are proposed to deal with a range of clinical tasks such as disease diagnosis, prescription management, and medication ordering. Although a small number of CDSSs have focused on treatment selection, areas such as medication selection and dosing selection remained under-researched. In this regard, this study represents one of the first studies in which a CDSS is proposed for clinicians who manage patients with end-stage renal disease undergoing maintenance hemodialysis, almost all of whom have some manifestation of chronic kidney disease-mineral and bone disorder (CKD-MBD). The primary objective of the system is to aid clinicians in dosage prescription by levering medical domain knowledge as well existing practices. The proposed CDSS is evaluated with a real-world hemodialysis patient dataset acquired from Kyung Hee University Hospital, South Korea. Our evaluation demonstrates overall high compliance based on the concordance metric between the proposed CKD-MBD CDSS recommendations and the routine clinical practice. The concordance rate of overall medication dosing selection is 78.27%. Furthermore, the usability aspects of the system are also evaluated through the User Experience Questionnaire method to highlight the appealing aspects of the system for clinicians. The overall user experience dimension scores for pragmatic, hedonic, and attractiveness are 1.53, 1.48, and 1.41, respectively. A service reliability for the Cronbach's alpha coefficient greater than 0.7 is achieved using the proposed system, whereas a dependability coefficient of the value 0.84 reveals a significant effect.
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Affiliation(s)
- Syed Imran Ali
- Department of Computer Science and Engineering, Kyung Hee University, Yongin-si 17104, Korea; (S.I.A.); (H.S.M.B.)
| | - Su Woong Jung
- Department of Internal Medicine, Division of Nephrology, Kyung Hee University Hospital at Gangdong, Seoul 05278, Korea;
| | - Hafiz Syed Muhammad Bilal
- Department of Computer Science and Engineering, Kyung Hee University, Yongin-si 17104, Korea; (S.I.A.); (H.S.M.B.)
- Department of Computing, SEECS, NUST University, Islamabad 44000, Pakistan
| | - Sang-Ho Lee
- Department of Internal Medicine, Division of Nephrology, Kyung Hee University Hospital at Gangdong, Seoul 05278, Korea;
| | - Jamil Hussain
- Department of Data Science, Sejong University, Seoul 30019, Korea;
| | - Muhammad Afzal
- Department of Software, Sejong University, Seoul 30019, Korea; (M.A.); (M.H.)
| | - Maqbool Hussain
- Department of Software, Sejong University, Seoul 30019, Korea; (M.A.); (M.H.)
| | - Taqdir Ali
- BC Children’s Hospital, University of British Columbia, Vancouver, BC V6H 3N1, Canada;
| | - Taechoong Chung
- Department of Computer Science and Engineering, Kyung Hee University, Yongin-si 17104, Korea; (S.I.A.); (H.S.M.B.)
| | - Sungyoung Lee
- Department of Computer Science and Engineering, Kyung Hee University, Yongin-si 17104, Korea; (S.I.A.); (H.S.M.B.)
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15
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Chew CKT, Hogan H, Jani Y. Scoping review exploring the impact of digital systems on processes and outcomes in the care management of acute kidney injury and progress towards establishing learning healthcare systems. BMJ Health Care Inform 2021; 28:e100345. [PMID: 34233898 PMCID: PMC8264899 DOI: 10.1136/bmjhci-2021-100345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 06/08/2021] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES Digital systems have long been used to improve the quality and safety of care when managing acute kidney injury (AKI). The availability of digitised clinical data can also turn organisations and their networks into learning healthcare systems (LHSs) if used across all levels of health and care. This review explores the impact of digital systems i.e. on patients with AKI care, to gauge progress towards establishing LHSs and to identify existing gaps in the research. METHODS Embase, PubMed, MEDLINE, Cochrane, Scopus and Web of Science databases were searched. Studies of real-time or near real-time digital AKI management systems which reported process and outcome measures were included. RESULTS Thematic analysis of 43 studies showed that most interventions used real-time serum creatinine levels to trigger responses to enable risk prediction, early recognition of AKI or harm prevention by individual clinicians (micro level) or specialist teams (meso level). Interventions at system (macro level) were rare. There was limited evidence of change in outcomes. DISCUSSION While the benefits of real-time digital clinical data at micro level for AKI management have been evident for some time, their application at meso and macro levels is emergent therefore limiting progress towards establishing LHSs. Lack of progress is due to digital maturity, system design, human factors and policy levers. CONCLUSION Future approaches need to harness the potential of interoperability, data analytical advances and include multiple stakeholder perspectives to develop effective digital LHSs in order to gain benefits across the system.
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Affiliation(s)
- Clair Ka Tze Chew
- Transformation and Innovation Team, University College London Hospitals NHS Foundation Trust, London, UK
| | - Helen Hogan
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Yogini Jani
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK
- UCL School of Pharmacy, University College London, London, UK
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16
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Hirsch JS, Brar R, Forrer C, Sung C, Roycroft R, Seelamneni P, Dabir H, Naseer A, Gautam-Goyal P, Bock KR, Oppenheim MI. Design, development, and deployment of an indication- and kidney function-based decision support tool to optimize treatment and reduce medication dosing errors. JAMIA Open 2021; 4:ooab039. [PMID: 34222830 PMCID: PMC8242134 DOI: 10.1093/jamiaopen/ooab039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 04/13/2021] [Accepted: 04/26/2021] [Indexed: 11/19/2022] Open
Abstract
Delivering clinical decision support (CDS) at the point of care has long been considered a major advantage of computerized physician order entry (CPOE). Despite the widespread implementation of CPOE, medication ordering errors and associated adverse events still occur at an unacceptable level. Previous attempts at indication- and kidney function-based dosing have mostly employed intrusive CDS, including interruptive alerts with poor usability. This descriptive work describes the design, development, and deployment of the Adult Dosing Methodology (ADM) module, a novel CDS tool that provides indication- and kidney-based dosing at the time of order entry. Inclusion of several antimicrobials in the initial set of medications allowed for the additional goal of optimizing therapy duration for appropriate antimicrobial stewardship. The CDS aims to decrease order entry errors and burden on providers by offering automatic dose and frequency recommendations, integration within the native electronic health record, and reasonable knowledge maintenance requirements. Following implementation, early utilization demonstrated high acceptance of automated recommendations, with up to 96% of provided automated recommendations accepted by users.
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Affiliation(s)
- Jamie S Hirsch
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA.,Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.,Center for Health Innovations and Outcomes Research, Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Rajdeep Brar
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA
| | - Christopher Forrer
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA
| | - Christine Sung
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA
| | - Richard Roycroft
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA
| | - Pradeep Seelamneni
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA
| | - Hemala Dabir
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA
| | - Ambareen Naseer
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA
| | - Pranisha Gautam-Goyal
- Division of Infectious Diseases, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Kevin R Bock
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA.,Department of Pediatrics, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA
| | - Michael I Oppenheim
- Department of Information Services, Northwell Health, New Hyde Park, New York, USA.,Division of Infectious Diseases, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
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17
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McConachie SM, Hanni CM, Wilhelm SM. Deviant Dosing: A Post hoc Analysis of Pharmacist Characteristics Related to Renal Dosing Decisions. Ann Pharmacother 2021; 56:65-72. [PMID: 33969741 DOI: 10.1177/10600280211016328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND A recent study demonstrated that pharmacists presented with multiple estimating equations deviated from recommended dosing guidance more often than pharmacists who were presented with a single estimate on clinical vignettes. OBJECTIVES To identify characteristics associated with an increased tendency to deviate from approved recommendations. METHODS Participant data were split into 2 cohorts: pharmacists who chose a dose that was inconsistent with dosing recommendations on at least 1 of the 4 vignettes and pharmacists who did not deviate on a single case. Bivariate analysis of demographic- and practice-related variables were conducted between groups using the χ2, Mann-Whitney U, or Student t-test for nominal, ordinal, and continuous variables, respectively. Statistically different covariates between groups (P < 0.05) were assessed using multivariable linear regression. RESULTS Survey data from 154 inpatient pharmacists, 71 of whom deviated on at least 1 clinical vignette, were analyzed. On univariate analysis, deviator pharmacists were more likely to have completed postgraduate residency training (68% vs 41%; P < 0.05) and board certification (39% vs 20%; P < 0.05). Deviator pharmacists were also more likely to have been presented with multiple renal estimates as opposed to a single estimate and had differing renal dosing practices at baseline (P < 0.05). Following multivariable regression, residency training, mismatched baseline renal practices, and multiple renal estimates remained independent predictors (P < 0.05) of dosing deviation. CONCLUSION AND RELEVANCE Higher clinical training, practice variation, and multiple renal estimates may affect renal dosing practices. Prospective, statistically powered studies are needed to verify these hypotheses.
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Affiliation(s)
- Sean M McConachie
- Wayne State University, Detroit, MI, USA.,Beaumont Hospital, Dearborn, MI, USA
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18
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Cerqueira O, Gill M, Swar B, Prentice KA, Gwin S, Beasley BW. The effectiveness of interruptive prescribing alerts in ambulatory CPOE to change prescriber behaviour & improve safety. BMJ Qual Saf 2021; 30:1038-1046. [PMID: 33875570 DOI: 10.1136/bmjqs-2020-012283] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 02/08/2021] [Accepted: 02/15/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND Prescribing alerts of an electronic health record are meant to be protective, but often are disruptive to providers. Our goal was to assess the effectiveness of interruptive medication-prescriber alerts in changing prescriber behaviour and improving patient outcomes in ambulatory care settings via computerised provider order entry (CPOE) systems. METHODS A standardised search strategy was developed and applied to the following key bibliographical databases: PubMed, Embase, CINAHL and The Cochrane Library. Non-comparison studies and studies on non-interrupted alerts were eliminated. We developed a standardised data collection form and abstracted data that included setting, study design, category of intervention alert and outcomes measured. The search was completed in August 2018 and repeated in November of 2019 and of 2020 to identify any new publications during the time lapse. RESULTS Ultimately, nine comparison studies of triggered alerts were identified. Each studied at least one outcome measure illustrating how the alert affected prescriber decision-making. Provider behaviour was influenced in the majority, with most noting a positive change. Alerts decreased pharmaceutical costs, moved medications toward preferred medications tiers and steered treatments toward evidence-based choices. They also decreased prescribing errors. Clinician feedback, rarely solicited, expressed frustration with alerts creating a time delay. CONCLUSION The current evidence shows a clear indication that many categories of alerts are effective in changing prescriber behaviour. However, it is unclear whether these behavioural changes lead to improved patient outcomes. Despite the rapid transition to CPOE use for patient care, there are few rigorous studies of triggered alerts and how workflow interruptions impact patient outcomes and provider acceptance.
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Affiliation(s)
- Oliver Cerqueira
- Department of Internal Medicine, The University of Oklahoma School of Community Medicine, Tulsa, Oklahoma, USA
| | - Mohsain Gill
- Internal Medicine, University of Oklahoma College of Medicine, Oklahoma City, Oklahoma, USA
| | - Bishr Swar
- Internal Medicine, University of Oklahoma College of Medicine, Oklahoma City, Oklahoma, USA
| | | | - Shannon Gwin
- Department of Internal Medicine, The University of Oklahoma School of Community Medicine, Tulsa, Oklahoma, USA
| | - Brent W Beasley
- Department of Internal Medicine, The University of Oklahoma School of Community Medicine, Tulsa, Oklahoma, USA
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19
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Taheri Moghadam S, Sadoughi F, Velayati F, Ehsanzadeh SJ, Poursharif S. The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis. BMC Med Inform Decis Mak 2021; 21:98. [PMID: 33691690 PMCID: PMC7944637 DOI: 10.1186/s12911-020-01376-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 12/18/2020] [Indexed: 12/14/2022] Open
Abstract
Background Clinical Decision Support Systems (CDSSs) for Prescribing are one of the innovations designed to improve physician practice performance and patient outcomes by reducing prescription errors. This study was therefore conducted to examine the effects of various CDSSs on physician practice performance and patient outcomes. Methods This systematic review was carried out by searching PubMed, Embase, Web of Science, Scopus, and Cochrane Library from 2005 to 2019. The studies were independently reviewed by two researchers. Any discrepancies in the eligibility of the studies between the two researchers were then resolved by consulting the third researcher. In the next step, we performed a meta-analysis based on medication subgroups, CDSS-type subgroups, and outcome categories. Also, we provided the narrative style of the findings. In the meantime, we used a random-effects model to estimate the effects of CDSS on patient outcomes and physician practice performance with a 95% confidence interval. Q statistics and I2 were then used to calculate heterogeneity. Results On the basis of the inclusion criteria, 45 studies were qualified for analysis in this study. CDSS for prescription drugs/COPE has been used for various diseases such as cardiovascular diseases, hypertension, diabetes, gastrointestinal and respiratory diseases, AIDS, appendicitis, kidney disease, malaria, high blood potassium, and mental diseases. In the meantime, other cases such as concurrent prescribing of multiple medications for patients and their effects on the above-mentioned results have been analyzed. The study shows that in some cases the use of CDSS has beneficial effects on patient outcomes and physician practice performance (std diff in means = 0.084, 95% CI 0.067 to 0.102). It was also statistically significant for outcome categories such as those demonstrating better results for physician practice performance and patient outcomes or both. However, there was no significant difference between some other cases and traditional approaches. We assume that this may be due to the disease type, the quantity, and the type of CDSS criteria that affected the comparison. Overall, the results of this study show positive effects on performance for all forms of CDSSs. Conclusions Our results indicate that the positive effects of the CDSS can be due to factors such as user-friendliness, compliance with clinical guidelines, patient and physician cooperation, integration of electronic health records, CDSS, and pharmaceutical systems, consideration of the views of physicians in assessing the importance of CDSS alerts, and the real-time alerts in the prescription.
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Affiliation(s)
- Sharare Taheri Moghadam
- Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Farahnaz Sadoughi
- Health Management and Economics Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Rashid Yasemi Street, Vali-e Asr Avenue, Tehran, 1996713883, Iran.
| | - Farnia Velayati
- Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Jafar Ehsanzadeh
- School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
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20
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Subbe CP, Tellier G, Barach P. Impact of electronic health records on predefined safety outcomes in patients admitted to hospital: a scoping review. BMJ Open 2021; 11:e047446. [PMID: 33441368 PMCID: PMC7812113 DOI: 10.1136/bmjopen-2020-047446] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES Review available evidence for impact of electronic health records (EHRs) on predefined patient safety outcomes in interventional studies to identify gaps in current knowledge and design interventions for future research. DESIGN Scoping review to map existing evidence and identify gaps for future research. DATA SOURCES PubMed, the Cochrane Library, EMBASE, Trial registers. STUDY SELECTION Eligibility criteria: We conducted a scoping review of bibliographic databases and the grey literature of randomised and non-randomised trials describing interventions targeting a list of fourteen predefined areas of safety. The search was limited to manuscripts published between January 2008 and December 2018 of studies in adult inpatient settings and complemented by a targeted search for studies using a sample of EHR vendors. Studies were categorised according to methodology, intervention characteristics and safety outcome.Results from identified studies were grouped around common themes of safety measures. RESULTS The search yielded 583 articles of which 24 articles were included. The identified studies were largely from US academic medical centres, heterogeneous in study conduct, definitions, treatment protocols and study outcome reporting. Of the 24 included studies effective safety themes included medication reconciliation, decision support for prescribing medications, communication between teams, infection prevention and measures of EHR-specific harm. Heterogeneity of the interventions and study characteristics precluded a systematic meta-analysis. Most studies reported process measures and not patient-level safety outcomes: We found no or limited evidence in 13 of 14 predefined safety areas, with good evidence limited to medication safety. CONCLUSIONS Published evidence for EHR impact on safety outcomes from interventional studies is limited and does not permit firm conclusions regarding the full safety impact of EHRs or support recommendations about ideal design features. The review highlights the need for greater transparency in quality assurance of existing EHRs and further research into suitable metrics and study designs.
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Affiliation(s)
- Christian Peter Subbe
- School of Medical Sciences, Bangor University, Bangor, UK
- Medicine, Ysbyty Gwynedd, Bangor, UK
| | | | - Paul Barach
- Pediatrics, Wayne State University, Detroit, Michigan, USA
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21
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Wada R, Takeuchi J, Nakamura T, Sonoyama T, Kosaka S, Matsumoto C, Sakuma M, Ohta Y, Morimoto T. Clinical Decision Support System with Renal Dose Adjustment Did Not Improve Subsequent Renal and Hepatic Function among Inpatients: The Japan Adverse Drug Event Study. Appl Clin Inform 2020; 11:846-856. [PMID: 33368060 PMCID: PMC7758157 DOI: 10.1055/s-0040-1721056] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background
Medication dose adjustment is crucial for patients with renal dysfunction (RD). The assessment of renal function is generally mandatory; however, the renal function may change during the hospital stay and the manual assessment is sometimes challenging.
Objective
We developed the clinical decision support system (CDSS) that provided a recommended dose based on automated calculated renal function.
Methods
We conducted a prospective cohort study in a single teaching hospital in Japan. All hospitalized patients were included except for obstetrics/gynecology and pediatric wards between September 2013 and February 2015. The CDSS was implemented on December 2013. Renal and hepatic dysfunction (HD) were defined as changes in the estimated glomerular filtration rate (eGFR) and alanine aminotransferase or alkaline phosphatase levels based on these measurements during hospital stay. These measurements were obtained before (phase I), after (phase II), and 1 year after (phase III) the CDSS implementation.
Results
We included 6,767 patients (phase I: 2,205; phase II: 2,279; phase III: 2,283). The patients' characteristics were similar among phases. Changes in eGFR were similar among phases, but the incidence of RD increased in phase III (phase I: 228 [10.3%]; phase II: 260 [11.4%]; phase III: 296 [13.0%],
p
= 0.02). However, the differences in incidences of RD were not statistically significant after adjusting for eGFR at baseline and age. The incidences of HD were also similar among phases (phase I: 175 [13.2%]; phase II: 171 [12.9%]; phase III: 167 [12.2%],
p
= 0.72).
Conclusion
The CDSS implementation did not affect the incidence of renal and HD and changes in renal and hepatic function among hospitalized patients. The effectiveness of the CDSS with renal-guided doses should be investigated with respect to other endpoints.
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Affiliation(s)
- Ryuhei Wada
- Department of Clinical Epidemiology, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Jiro Takeuchi
- Department of Clinical Epidemiology, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Tsukasa Nakamura
- Department of Infectious Diseases, Shimane Prefectural Central Hospital, Izumo, Shimane, Japan
| | - Tomohiro Sonoyama
- Department of Pharmacy, Shimane Prefectural Central Hospital, Izumo, Shimane, Japan
| | - Shinji Kosaka
- Shimane Prefectural Central Hospital, Izumo, Shimane, Japan
| | - Chisa Matsumoto
- Center for Health Surveillance & Preventive Medicine, Tokyo Medical University, Tokyo, Japan
| | - Mio Sakuma
- Department of Clinical Epidemiology, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Yoshinori Ohta
- Education and Training Center for Students and Professionals in Healthcare, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Takeshi Morimoto
- Department of Clinical Epidemiology, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
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Incorrect Prescribing for Hemodialysis Patients. Am J Ther 2020; 27:e224-e226. [PMID: 30376454 DOI: 10.1097/mjt.0000000000000764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Wilke RA, Qamar M, Lupu RA, Gu S, Zhao J. Chronic Kidney Disease in Agricultural Communities. Am J Med 2019; 132:e727-e732. [PMID: 30998912 PMCID: PMC6801052 DOI: 10.1016/j.amjmed.2019.03.036] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 03/07/2019] [Accepted: 03/12/2019] [Indexed: 01/18/2023]
Abstract
Patients residing in agricultural communities have a high risk of developing chronic kidney disease. In the Great Plains, geo-environmental risk factors (eg, variable climate, temperature, air quality, water quality, and drought) combine with agro-environmental risk factors (eg, exposure to fertilizers, soil conditioners, herbicides, fungicides, and pesticides) to increase risk for toxic nephropathy. However, research defining the specific influence of agricultural chemicals on the progression of kidney disease in rural communities has been somewhat limited. By linking retrospective clinical data within electronic medical records to environmental data from sources like US Environmental Protection Agency, analytical models are beginning to provide insight into the impact of agricultural practices on the rate of progression for kidney disease in rural communities.
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Affiliation(s)
- Russell A Wilke
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Vermillion.
| | - Mohammad Qamar
- Department of Nephrology and Transplantation, Sanford Medical Center, Sioux Falls, South Dakota
| | - Roxana A Lupu
- Department of Clinical Informatics, Sanford Medical Center, Sioux Falls, South Dakota
| | - Shaopeng Gu
- Department of Mathematics and Statistics, South Dakota State University, Brookings
| | - Jing Zhao
- Department of Biomedical Informatics, The Ohio State University, Columbus
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Ibáñez-Garcia S, Rodriguez-Gonzalez C, Escudero-Vilaplana V, Martin-Barbero ML, Marzal-Alfaro B, De la Rosa-Triviño JL, Iglesias-Peinado I, Herranz-Alonso A, Sanjurjo Saez M. Development and Evaluation of a Clinical Decision Support System to Improve Medication Safety. Appl Clin Inform 2019; 10:513-520. [PMID: 31315138 DOI: 10.1055/s-0039-1693426] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Clinical decision support systems (CDSSs) are a good strategy for preventing medication errors and reducing the incidence and severity of adverse drug events (ADEs). However, these systems are not very effective and are subject to multiple limitations that prevent their implementation in clinical practice. OBJECTIVES The objective of this study was to evaluate the effectiveness of an advanced CDSS, HIGEA, which generates alerts based on predefined clinical rules to identify patients at risk of an ADE. METHODS A multidisciplinary team defined the system and the clinical rules focusing on medication errors commonly encountered in clinical practice. Four intervention programs were defined: (1) dose adjustment in renal impairment; (2) adjustment of anticoagulation/antiplatelet therapy; (3) detection of biochemical/hematologic toxicities; and (4) therapeutic drug monitoring. We performed a 6-month observational prospective study to analyze the effectiveness of these clinical rules by calculating the positive predictive value (PPV). RESULTS The team defined 211 clinical rules. During the study period, HIGEA generated 1,086 alerts (8.9 alerts per working day), which were reviewed by pharmacists. Fifty-one percent (554/1,086) of alerts generated an intervention to prevent a possible ADE; of these, 66% (368/554) required a documented modification to therapy owing to a real prescription error intercepted. The intervention program that induced the highest number of modifications to therapy was the dose adjustment in renal impairment program (PPV = 0.51), followed by the adjustment of anticoagulation/antiplatelet therapy program (PPV = 0.24). The percentage of accepted interventions was similar in surgical units (68%), medical units (67%), and critical care units (63%). CONCLUSION Our study offers evidence that HIGEA is highly effective in preventing potential ADEs at the prescription stage.
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Affiliation(s)
- Sara Ibáñez-Garcia
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Carmen Rodriguez-Gonzalez
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Vicente Escudero-Vilaplana
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Maria Luisa Martin-Barbero
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Belén Marzal-Alfaro
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | | | - Irene Iglesias-Peinado
- Pharmacology Department, College of Pharmacy, Complutense University of Madrid, Madrid, Spain
| | - Ana Herranz-Alonso
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Maria Sanjurjo Saez
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón, Hospital General Universitario Gregorio Marañón, Madrid, Spain
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25
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Prasert V, Shono A, Chanjaruporn F, Ploylearmsang C, Boonnan K, Khampetdee A, Akazawa M. Effect of a computerized decision support system on potentially inappropriate medication prescriptions for elderly patients in Thailand. J Eval Clin Pract 2019; 25:514-520. [PMID: 30484935 DOI: 10.1111/jep.13065] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 10/15/2018] [Accepted: 10/15/2018] [Indexed: 01/10/2023]
Abstract
RATIONALE, AIMS, AND OBJECTIVES The prescription of potentially inappropriate medication (PIM) is a global issue associated with increased adverse drug events, mortality, and health care expenditure. Computerized decision support system (CDSS) for the detection of PIM is a novel alert system in Thailand for reducing PIM prescriptions. The aim of this study was to evaluate the effect of a CDSS on PIM prescriptions for elderly patients in Thai community hospitals. METHODS The study design comprised two phases with a duration of 12 months each: pre-CDSS implementation (October 2015-March 2016) and post-CDSS implementation (October 2016-March 2017). Medical services and prescription claims data from four hospitals were used to calculate the prevalence of PIM prescriptions among elderly patients aged 60 years and older. Chi-square tests were used to analyse changes in PIM prescriptions across hospitals post CDSS. RESULTS The overall prevalence of PIM prescriptions post-CDSS implementation significantly decreased from 87.7% to 74.4%. The severity of mild and moderate PIMs was significantly reduced from 71.9% to 49.0% and from 64.5% to 48.7%, respectively. All hospitals had only one severe PIM, which was hyoscine. It was reduced from 4.7% to 1.5%, but the change was not significant (P = 0.74). The proportion of frequently prescribed PIMs in all PIM levels was significantly decreased, regardless of existing alternative medications. CONCLUSIONS Specific CDSS for PIM in community hospital setting was associated with a reduction of PIM prescription in elderly patients. This CDSS can change physician's prescription behaviour to avoid inappropriate medications.
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Affiliation(s)
- Vanida Prasert
- Department of Public Health and Epidemiology, Meiji Pharmaceutical University, Tokyo, Japan
| | - Aiko Shono
- Department of Public Health and Epidemiology, Meiji Pharmaceutical University, Tokyo, Japan
| | - Farsai Chanjaruporn
- Social and Administrative Pharmacy, Excellence Research Unit, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand
| | - Chanuttha Ploylearmsang
- Social Pharmacy Research Unit, Faculty of Pharmacy, Mahasarakham University, Mahasarakham Province, Thailand
| | | | - Apinan Khampetdee
- Department of Pharmacy, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Manabu Akazawa
- Department of Public Health and Epidemiology, Meiji Pharmaceutical University, Tokyo, Japan
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26
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Whitehead NS, Williams L, Meleth S, Kennedy S, Ubaka-Blackmoore N, Kanter M, O'Leary KJ, Classen D, Jackson B, Murphy DR, Nichols J, Stockwell D, Lorey T, Epner P, Taylor J, Graber ML. The Effect of Laboratory Test-Based Clinical Decision Support Tools on Medication Errors and Adverse Drug Events: A Laboratory Medicine Best Practices Systematic Review. J Appl Lab Med 2019; 3:1035-1048. [PMID: 31639695 DOI: 10.1373/jalm.2018.028019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 12/27/2018] [Indexed: 01/12/2023]
Abstract
BACKGROUND Laboratory and medication data in electronic health records create opportunities for clinical decision support (CDS) tools to improve medication dosing, laboratory monitoring, and detection of side effects. This systematic review evaluates the effectiveness of such tools in preventing medication-related harm. METHODS We followed the Laboratory Medicine Best Practice (LMBP) initiative's A-6 methodology. Searches of 6 bibliographic databases retrieved 8508 abstracts. Fifteen articles examined the effect of CDS tools on (a) appropriate dose or medication (n = 5), (b) laboratory monitoring (n = 4), (c) compliance with guidelines (n = 2), and (d) adverse drug events (n = 5). We conducted meta-analyses by using random-effects modeling. RESULTS We found moderate and consistent evidence that CDS tools applied at medication ordering or dispensing can increase prescriptions of appropriate medications or dosages [6 results, pooled risk ratio (RR), 1.48; 95% CI, 1.27-1.74]. CDS tools also improve receipt of recommended laboratory monitoring and appropriate treatment in response to abnormal test results (6 results, pooled RR, 1.40; 95% CI, 1.05-1.87). The evidence that CDS tools reduced adverse drug events was inconsistent (5 results, pooled RR, 0.69; 95% CI, 0.46-1.03). CONCLUSIONS The findings support the practice of healthcare systems with the technological capability incorporating test-based CDS tools into their computerized physician ordering systems to (a) identify and flag prescription orders of inappropriate dose or medications at the time of ordering or dispensing and (b) alert providers to missing laboratory tests for medication monitoring or results that warrant a change in treatment. More research is needed to determine the ability of these tools to prevent adverse drug events.
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Affiliation(s)
| | | | | | | | | | - Michael Kanter
- Permanente Federation and Regional Medical Director of Quality and Clinical Analysis, Kaiser Permanente Southern California, Pasadena, CA
| | - Kevin J O'Leary
- Division of Hospital Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - David Classen
- Pascal Metrics, Washington, DC.,University of Utah School of Medicine, Salt Lake City, UT
| | - Brian Jackson
- University of Utah School of Medicine, Salt Lake City, UT.,ARUP Laboratories, Salt Lake City, UT
| | - Daniel R Murphy
- Houston VA Center of Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX.,Department of Medicine, Baylor College of Medicine, Houston, TX
| | - James Nichols
- Vanderbilt University School of Medicine, Nashville, TN
| | - David Stockwell
- Pascal Metrics, Washington, DC.,Division of Critical Care Medicine, Children's National Medical Center, Washington, DC.,Department of Pediatrics, George Washington University School of Medicine, Washington, DC
| | - Thomas Lorey
- TPMG Regional Reference Laboratory, Kaiser Permanente Northern California, Berkeley, CA
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27
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Sittig DF, Wright A, Coiera E, Magrabi F, Ratwani R, Bates DW, Singh H. Current challenges in health information technology-related patient safety. Health Informatics J 2018; 26:181-189. [PMID: 30537881 DOI: 10.1177/1460458218814893] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
We identify and describe nine key, short-term, challenges to help healthcare organizations, health information technology developers, researchers, policymakers, and funders focus their efforts on health information technology-related patient safety. Categorized according to the stage of the health information technology lifecycle where they appear, these challenges relate to (1) developing models, methods, and tools to enable risk assessment; (2) developing standard user interface design features and functions; (3) ensuring the safety of software in an interfaced, network-enabled clinical environment; (4) implementing a method for unambiguous patient identification (1-4 Design and Development stage); (5) developing and implementing decision support which improves safety; (6) identifying practices to safely manage information technology system transitions (5 and 6 Implementation and Use stage); (7) developing real-time methods to enable automated surveillance and monitoring of system performance and safety; (8) establishing the cultural and legal framework/safe harbor to allow sharing information about hazards and adverse events; and (9) developing models and methods for consumers/patients to improve health information technology safety (7-9 Monitoring, Evaluation, and Optimization stage). These challenges represent key "to-do's" that must be completed before we can expect to have safe, reliable, and efficient health information technology-based systems required to care for patients.
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Affiliation(s)
- Dean F Sittig
- The University of Texas Health Science Center at Houston (UTHealth), USA
| | | | | | | | - Raj Ratwani
- National Center for Human Factors in Healthcare, MedStar Health, USA
| | - David W Bates
- Harvard Medical School, USA; Harvard T.H. Chan School of Public Health, USA
| | - Hardeep Singh
- Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, Texas, USA
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28
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Scott IA, Pillans PI, Barras M, Morris C. Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review. Ther Adv Drug Saf 2018; 9:559-573. [PMID: 30181862 PMCID: PMC6116772 DOI: 10.1177/2042098618784809] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 05/28/2018] [Indexed: 11/17/2022] Open
Abstract
Prescribing of potentially inappropriate medications (PIMs) that pose more risk than benefit in older patients is a common occurrence across all healthcare settings. Reducing such prescribing has been challenging despite multiple interventions, including educational campaigns, audits and feedback, geriatrician assessment and formulary restrictions. With the increasing uptake of electronic medical records (EMRs) across hospitals, clinics and residential aged care facilities (RACFs), integrated with computerized physician order entry (CPOE) and e-prescribing, opportunities exist for incorporating clinical decision support systems (CDSS) into EMR at the point of care. This narrative review assessed the process and outcomes of using EMR-enabled CDSS to reduce the prescribing of PIMs. We searched PubMed for relevant articles published up to January 2018 and focused on those that described EMR-enabled CDSS that assisted prescribers to make changes at the time of ordering PIMs in adults. Computerized systems offering only medication reconciliation, dose checks, monitoring for medication errors, or basic formulary information were not included. In addition to outcome measures of medication-related processes and adverse drug events, qualitative data relating to factors that influence effectiveness of EMR-enabled CDSS were also gathered from selected studies. We analysed 20 studies comprising 10 randomized trials and 10 observational studies performed in hospitals (n = 8), ambulatory care clinics (n = 9) and RACFs (n = 3). Studies varied in patient populations (although most involved older patients), type of CDSS, method of linkage with EMR, study designs and outcome measures. However, assuming little publication bias, the totality of evidence favoured EMR-enabled CDSS as being effective in reducing the prescribing of PIMs in hospitals, although results were more mixed for ambulatory care settings and RACFs. While absolute effects in most positive studies were modest, they suggest EMR-enabled CDSS are feasible and acceptable to clinicians, and if certain design features are adhered to, there is potential for even greater impact.
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Affiliation(s)
- Ian A. Scott
- Department of Internal Medicine and Clinical
Epidemiology, Princess Alexandra Hospital, 199 Ipswich Road, Brisbane, QLD
4102, Australia
| | - Peter I. Pillans
- Department of Clinical Pharmacology, Princess
Alexandra Hospital, Brisbane, Australia School of Clinical Medicine,
University of Queensland, Brisbane, Australia
| | - Michael Barras
- Department of Pharmacy, Princess Alexandra
Hospital, Brisbane, Australia School of Pharmacy, University of Queensland,
Brisbane, Australia
| | - Christopher Morris
- Department of General Medicine, Redlands
Hospital, Cleveland, Australia Queensland Digital Healthcare Improvement
Network, Queensland Health Department, Brisbane, Australia
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Abstract
PURPOSE OF REVIEW Quality measure assessment and reporting is evolving in end-stage renal disease care and is inchoate in ambulatory nephrology clinic care. Acute kidney injury (AKI) quality measures have not received sufficient attention, yet deserve consideration in view of the substantial proportion of effort nephrology providers devote to AKI care. RECENT FINDINGS Accumulating literature permits consideration of timing of nephrology consultation, follow-up after AKI hospitalization, early detection, medication dosing, hospital readmissions and length of stay, cost, and mortality as potential AKI quality measures. SUMMARY We review candidate AKI quality measures and assess the strength of evidence supporting the use of each measure as a standard for AKI care.
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30
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The ICE-AKI study: Impact analysis of a Clinical prediction rule and Electronic AKI alert in general medical patients. PLoS One 2018; 13:e0200584. [PMID: 30089118 PMCID: PMC6082509 DOI: 10.1371/journal.pone.0200584] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 06/28/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Acute kidney injury (AKI) is assoicated with high mortality and measures to improve risk stratification and early identification have been urgently called for. This study investigated whether an electronic clinical prediction rule (CPR) combined with an AKI e-alert could reduce hospital-acquired AKI (HA-AKI) and improve associated outcomes. METHODS AND FINDINGS A controlled before-and-after study included 30,295 acute medical admissions to two adult non-specialist hospital sites in the South of England (two ten-month time periods, 2014-16); all included patients stayed at least one night and had at least two serum creatinine tests. In the second period at the intervention site a CPR flagged those at risk of AKI and an alert was generated for those with AKI; both alerts incorporated care bundles. Patients were followed-up until death or hospital discharge. Primary outcome was change in incident HA-AKI. Secondary outcomes in those developing HA-AKI included: in-hospital mortality, AKI progression and escalation of care. On difference-in-differences analysis incidence of HA-AKI reduced (odds ratio [OR] 0.990, 95% CI 0.981-1.000, P = 0.049). In-hospital mortality in HA-AKI cases reduced on difference-in-differences analysis (OR 0.924, 95% CI 0.858-0.996, P = 0.038) and unadjusted analysis (27.46% pre vs 21.67% post, OR 0.731, 95% CI 0.560-0.954, P = 0.021). Mortality in those flagged by the CPR significantly reduced (14% pre vs 11% post intervention, P = 0.008). Outcomes for community-acquired AKI (CA-AKI) cases did not change. A number of process measures significantly improved at the intervention site. Limitations include lack of randomization, and generalizability will require future investigation. CONCLUSIONS In acute medical admissions a multi-modal intervention, including an electronically integrated CPR alongside an e-alert for those developing HA-AKI improved in-hospital outcomes. CA-AKI outcomes were not affected. The study provides a template for investigations utilising electronically generated prediction modelling. Further studies should assess generalisability and cost effectiveness. TRIAL REGISTRATION Clinicaltrials.org NCT03047382.
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31
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Sykes L, Nipah R, Kalra P, Green D. A narrative review of the impact of interventions in acute kidney injury. J Nephrol 2018; 31:523-535. [PMID: 29188454 PMCID: PMC6061256 DOI: 10.1007/s40620-017-0454-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 10/27/2017] [Indexed: 10/25/2022]
Abstract
Acute kidney injury (AKI) is independently associated with significant morbidity and mortality, and is thus an important challenge facing physicians in modern healthcare. This narrative review assesses the impact of strategies employed to tackle AKI following the 2009 NCEPOD report on acute kidney injury (Sterwart et al. Acute kidney injury: adding insult to injury, pp 1-22, 2009). There is scarce and heterogeneous research into hard end points such as mortality and AKI progression for AKI interventions. This review found that e-alerts have varying effects on mortality and AKI progression, but decrease the incidence of contrast-induced AKI. The use of AKI bundles delivers statistically significant improvements in mortality and AKI progression. Similarly, AKI nurses generate statistically significant improvements on hospital acquired AKI and mortality. As yet there is no evidence base for the effects of education, sick day rules and smart phone apps. Overall, a combination of e-alerts and AKI bundles supported by education yielded the most effective and statistically significant results. Current practice revolves around reactive rather than preventative behaviour. This narrative review discusses reactive interventions and their impact on the progression and severity of AKI, and on mortality from it. Preventative behaviour, such as risk stratification and early intervention in the deteriorating patient, may be influential in decreasing AKI incidence.
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Affiliation(s)
- Lynne Sykes
- Emergency Assessment Unit, Salford Royal NHS Foundation Trust, MAHSC, Stott Lane, Salford, M6 8HD, UK.
- Division of Cardiovascular Sciences, University of Manchester, MAHSC, Manchester, UK.
| | - Rob Nipah
- Emergency Assessment Unit, Salford Royal NHS Foundation Trust, MAHSC, Stott Lane, Salford, M6 8HD, UK
- Division of Cardiovascular Sciences, University of Manchester, MAHSC, Manchester, UK
| | - Philip Kalra
- Division of Cardiovascular Sciences, University of Manchester, MAHSC, Manchester, UK
- Department of Renal Medicine, Salford Royal NHS Foundation Trust, MAHSC, Salford, UK
| | - Darren Green
- Emergency Assessment Unit, Salford Royal NHS Foundation Trust, MAHSC, Stott Lane, Salford, M6 8HD, UK
- Division of Cardiovascular Sciences, University of Manchester, MAHSC, Manchester, UK
- Department of Renal Medicine, Salford Royal NHS Foundation Trust, MAHSC, Salford, UK
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32
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Big Data and Data Science in Critical Care. Chest 2018; 154:1239-1248. [PMID: 29752973 DOI: 10.1016/j.chest.2018.04.037] [Citation(s) in RCA: 144] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 04/06/2018] [Accepted: 04/27/2018] [Indexed: 12/22/2022] Open
Abstract
The digitalization of the health-care system has resulted in a deluge of clinical big data and has prompted the rapid growth of data science in medicine. Data science, which is the field of study dedicated to the principled extraction of knowledge from complex data, is particularly relevant in the critical care setting. The availability of large amounts of data in the ICU, the need for better evidence-based care, and the complexity of critical illness makes the use of data science techniques and data-driven research particularly appealing to intensivists. Despite the increasing number of studies and publications in the field, thus far there have been few examples of data science projects that have resulted in successful implementations of data-driven systems in the ICU. However, given the expected growth in the field, intensivists should be familiar with the opportunities and challenges of big data and data science. The present article reviews the definitions, types of algorithms, applications, challenges, and future of big data and data science in critical care.
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33
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Ni Y, Lingren T, Hall ES, Leonard M, Melton K, Kirkendall ES. Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit. J Am Med Inform Assoc 2018; 25:555-563. [PMID: 29329456 PMCID: PMC6018990 DOI: 10.1093/jamia/ocx156] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Revised: 12/05/2017] [Accepted: 12/18/2017] [Indexed: 11/12/2022] Open
Abstract
Background Timely identification of medication administration errors (MAEs) promises great benefits for mitigating medication errors and associated harm. Despite previous efforts utilizing computerized methods to monitor medication errors, sustaining effective and accurate detection of MAEs remains challenging. In this study, we developed a real-time MAE detection system and evaluated its performance prior to system integration into institutional workflows. Methods Our prospective observational study included automated MAE detection of 10 high-risk medications and fluids for patients admitted to the neonatal intensive care unit at Cincinnati Children's Hospital Medical Center during a 4-month period. The automated system extracted real-time medication use information from the institutional electronic health records and identified MAEs using logic-based rules and natural language processing techniques. The MAE summary was delivered via a real-time messaging platform to promote reduction of patient exposure to potential harm. System performance was validated using a physician-generated gold standard of MAE events, and results were compared with those of current practice (incident reporting and trigger tools). Results Physicians identified 116 MAEs from 10 104 medication administrations during the study period. Compared to current practice, the sensitivity with automated MAE detection was improved significantly from 4.3% to 85.3% (P = .009), with a positive predictive value of 78.0%. Furthermore, the system showed potential to reduce patient exposure to harm, from 256 min to 35 min (P < .001). Conclusions The automated system demonstrated improved capacity for identifying MAEs while guarding against alert fatigue. It also showed promise for reducing patient exposure to potential harm following MAE events.
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Affiliation(s)
- Yizhao Ni
- Department of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Todd Lingren
- Department of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Eric S Hall
- Department of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
- Division of Neonatology and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Matthew Leonard
- Department of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Kristin Melton
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
- Division of Neonatology and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Eric S Kirkendall
- Department of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
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34
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Heringa M, Floor-Schreudering A, De Smet PAGM, Bouvy ML. Clinical Decision Support and Optional Point of Care Testing of Renal Function for Safe Use of Antibiotics in Elderly Patients: A Retrospective Study in Community Pharmacy Practice. Drugs Aging 2018; 34:851-858. [PMID: 29119468 PMCID: PMC5705753 DOI: 10.1007/s40266-017-0497-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Objective The aim was to investigate the management of drug therapy alerts on safe use of antibiotics in elderly patients with (potential) renal impairment and the contribution of optional creatinine point of care testing (PoCT) in community pharmacy practice. Methods Community pharmacists used a clinical decision support system (CDSS) for seven antibiotics. Alerts were generated during prescription processing in the case of previously registered renal impairment and when no information on renal function was available for patients aged 70 and over. Pharmacists could perform PoCT when renal function could not be retrieved from other health care professionals. Actions were registered in the CDSS. A retrospective descriptive analysis of alert management, performed PoCT and medication dispensing histories was performed. Results A total of 351 pharmacists registered the management of 88,391 alerts for 64,763 patients. For 68,721 alerts (77.7%), the pharmacist retrieved a renal function above the threshold for intervention. 1.7% of the alerts (n = 1532) led to a prescription modification because of renal impairment; in 3.0% of the alerts (n = 2631), the patient had renal impairment, but the pharmacist judged that no intervention was needed. Pharmacists performed 1988 PoCTs (2.2% of the alerts), which led to 15 prescription modifications (0.8% of the PoCT). Conclusion Community pharmacists performed CDSS-based interventions to prevent potentially inappropriate (dosing of) antibiotics in elderly patients with renal impairment. Pharmacists were well able to retrieve information on renal function, using PoCT in a limited number of cases. The intervention rate could be greatly increased by better registration of information on renal function. Performing PoCT seems especially worthwhile in the highest age groups.
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Affiliation(s)
- Mette Heringa
- SIR Institute for Pharmacy Practice and Policy, Theda Mansholtstraat 5B, 2331 JE, Leiden, The Netherlands. .,Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands. .,Health Base Foundation, Houten, The Netherlands.
| | - Annemieke Floor-Schreudering
- SIR Institute for Pharmacy Practice and Policy, Theda Mansholtstraat 5B, 2331 JE, Leiden, The Netherlands.,Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Peter A G M De Smet
- Departments of Clinical Pharmacy and IQ Healthcare, University Medical Centre St Radboud, Nijmegen, The Netherlands
| | - Marcel L Bouvy
- SIR Institute for Pharmacy Practice and Policy, Theda Mansholtstraat 5B, 2331 JE, Leiden, The Netherlands.,Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
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Tesfaye WH, Castelino RL, Wimmer BC, Zaidi STR. Inappropriate prescribing in chronic kidney disease: A systematic review of prevalence, associated clinical outcomes and impact of interventions. Int J Clin Pract 2017; 71. [PMID: 28544106 DOI: 10.1111/ijcp.12960] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 04/10/2017] [Indexed: 01/05/2023] Open
Abstract
INTRODUCTION Adjusting doses of renally cleared medications and/or avoidance of nephrotoxic medications are standard clinical practices in chronic kidney disease (CKD), albeit the prevalence of inappropriate prescribing (IP) in these patients remains high. Therefore, this work sought to systematically review the prevalence of IP and compare the relative effectiveness of available interventions in reducing IP in CKD. METHODS Studies were identified searching PubMed/Medline, EMBASE, Cochrane Library, IPA, Web of Science, Ovid/Medline, CINAHL, and PsychINFO databases. Studies defining CKD based on laboratory markers and quantifying prevalence of IP were included. RESULTS Forty-nine studies from 23 countries met the inclusion criteria. An IP prevalence of 9.4%-81.1% and 13%-80.50% was reported in hospital and ambulatory settings, respectively; whereas, in long-term care facilities the prevalence ranged between 16% and 37.9%. Unsurprisingly, IP was associated with adverse drug events like increased hospital stay (Mean [SD] of 4.5 [4.8] vs 4.3 [4.5]) and high risk of mortality [40%]. Twenty-one studies reported the impact of interventions on IP; manual and computerised alerts were the main forms of interventions (n=19). The most significant reduction in IP was observed when physicians received immediate concurrent feedback from a clinical pharmacist (P<.001). Polypharmacy, comorbidities, and age were identified as predictors of IP. CONCLUSION IP has led to poor patient outcomes. Although pharmacist-based and computer-aided approaches have shown promising results, there is still room for improvement. Future studies should focus on developing a multifaceted intervention to address the widespread prevalence of IP and associated clinical outcomes in CKD patients.
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Affiliation(s)
| | - Ronald L Castelino
- Sydney Nursing School, The University of Sydney, Lidcombe, New South Wales, Australia
| | - Barbara C Wimmer
- Pharmacy, School of Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Syed Tabish R Zaidi
- Pharmacy, School of Medicine, University of Tasmania, Hobart, Tasmania, Australia
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Pennington JW, Karavite DJ, Krause EM, Miller J, Bernhardt BA, Grundmeier RW. Genomic decision support needs in pediatric primary care. J Am Med Inform Assoc 2017; 24:851-856. [PMID: 28339689 PMCID: PMC7651914 DOI: 10.1093/jamia/ocw184] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 10/31/2016] [Accepted: 12/23/2016] [Indexed: 11/12/2022] Open
Abstract
Clinical genome and exome sequencing can diagnose pediatric patients with complex conditions that often require follow-up care with multiple specialties. The American Academy of Pediatrics emphasizes the role of the medical home and the primary care pediatrician in coordinating care for patients who need multidisciplinary support. In addition, the electronic health record (EHR) with embedded clinical decision support is recognized as an important component in providing care in this setting. We interviewed 6 clinicians to assess their experience caring for patients with complex and rare genetic findings and hear their opinions about how the EHR currently supports this role. Using these results, we designed a candidate EHR clinical decision support application mock-up and conducted formative exploratory user testing with 26 pediatric primary care providers to capture opinions on its utility in practice with respect to a specific clinical scenario. Our results indicate agreement that the functionality represented by the mock-up would effectively assist with care and warrants further development.
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Affiliation(s)
- Jeffrey W Pennington
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Dean J Karavite
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Edward M Krause
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jeffrey Miller
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Barbara A Bernhardt
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Robert W Grundmeier
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Fluid Overload and Kidney Injury Score: A Multidimensional Real-Time Assessment of Renal Disease Burden in the Critically Ill Patient. Pediatr Crit Care Med 2017; 18:524-530. [PMID: 28406863 DOI: 10.1097/pcc.0000000000001123] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Interruptive acute kidney injury alerts are reported to decrease acute kidney injury-related mortality in adults. Critically ill children have multiple acute kidney injury risk factors; although recognition has improved due to standardized definitions, subtle changes in serum creatinine make acute kidney injury recognition challenging. Age and body habitus variability prevent a uniform maximum threshold of creatinine. Exposure of nephrotoxic medications is common but not accounted for in kidney injury scores. Current severity of illness measures do not include fluid overload, a well-described mortality risk factor. We hypothesized that a multidimensional measure of renal status would better characterize renal severity of illness while maintaining or improving on correlation measures with adverse outcomes, when compared with traditional acute kidney injury staging. DESIGN A novel, real-time, multidimensional, renal status measure, combining acute kidney injury, fluid overload greater than or equal to 15%, and nephrotoxin exposure, was developed (Fluid Overload Kidney Injury Score) and prospectively applied to all patient encounters. Peak Fluid Overload Kidney Injury Score values prior to discharge or death were used to measure correlation with outcomes. SETTING Quarternary PICU of a freestanding children's hospital. PATIENTS All patients admitted over 18 months. INTERVENTION None. RESULTS Peak Fluid Overload Kidney Injury Score ranged between 0 and 14 in 2,830 PICU patients (median age, 5.5 yr; interquartile range, 1.3-12.9; 55% male), 66% of patients had Fluid Overload Kidney Injury Score greater than or equal to 1. Fluid Overload Kidney Injury Score was independently associated with PICU mortality and PICU and hospital length of stay when controlled for age, Pediatric Risk of Mortality-3, ventilator, pressor, and renal replacement therapy use (p = 0.047). Mortality increased from 1.5% in Fluid Overload Kidney Injury Score 0 to 40% in Fluid Overload Kidney Injury Score 8+. When urine output points were excluded, Fluid Overload Kidney Injury Score was more strongly correlated with mortality than fluid overload or acute kidney injury definitions alone. CONCLUSION A multidimensional score of renal disease burden was significantly associated with adverse PICU outcomes. Further studies will evaluate Fluid Overload Kidney Injury Score as a warning and decision support tool to impact patient-centered outcomes.
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Sitapati A, Kim H, Berkovich B, Marmor R, Singh S, El-Kareh R, Clay B, Ohno-Machado L. Integrated precision medicine: the role of electronic health records in delivering personalized treatment. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE 2017; 9. [PMID: 28207198 DOI: 10.1002/wsbm.1378] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Revised: 10/24/2016] [Accepted: 12/02/2016] [Indexed: 12/23/2022]
Abstract
Precision Medicine involves the delivery of a targeted, personalized treatment for a given patient. By harnessing the power of electronic health records (EHRs), we are increasingly able to practice precision medicine to improve patient outcomes. In this article, we introduce the scientific community at large to important building blocks for personalized treatment, such as terminology standards that are the foundation of the EHR and allow for exchange of health information across systems. We briefly review different types of clinical decision support (CDS) and present the current state of CDS, which is already improving the care patients receive with genetic profile-based tailored recommendations regarding diagnostic and treatment plans. We also report on limitations of current systems, which are slowly beginning to integrate new genomic data into patient records but still present many challenges. Finally, we discuss future directions and how the EHR can evolve to increase the capacity of the healthcare system in delivering Precision Medicine at the point of care. WIREs Syst Biol Med 2017, 9:e1378. doi: 10.1002/wsbm.1378 For further resources related to this article, please visit the WIREs website.
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Affiliation(s)
- Amy Sitapati
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Hyeoneui Kim
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | | | - Rebecca Marmor
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Siddharth Singh
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Robert El-Kareh
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Brian Clay
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Lucila Ohno-Machado
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA.,San Diego VA Health System
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Haase M, Kribben A, Zidek W, Floege J, Albert C, Isermann B, Robra BP, Haase-Fielitz A. Electronic Alerts for Acute Kidney Injury. DEUTSCHES ARZTEBLATT INTERNATIONAL 2017; 114:1-8. [PMID: 28143633 PMCID: PMC5399999 DOI: 10.3238/arztebl.2017.0001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 06/02/2016] [Accepted: 10/10/2016] [Indexed: 01/20/2023]
Abstract
BACKGROUND Acute kidney injury (AKI) often takes a complicated course if diagnosed late and undertreated. Electronic alerts that provide an early warning of AKI are intended to support treating physicians in making the diagnosis of AKI and treating it appropriately. The available evidence on the effects of such alert systems is inconsistent. METHODS We employed the PRISMA recommendations for systematic literature reviews to identify relevant articles in the PubMed, Scopus, and Web of Science databases. All of the studies that were retrieved were independently assessed by two of the authors with respect to the methods of computer-assisted electronic alert systems and their effects on process indicators and clinical endpoints. RESULTS 16 studies with a total of 32 842 patients were identified. 8.5% of admitted patients had community-acquired or hospital-acquired AKI, with an in-hospital mortality of 22.8%. Fifteen electronic alert systems were in use throughout the participating hospitals. In 13 of 15 studies, alarm activation was accompanied by concrete treatment recommendations. A randomized controlled trial in which no such recommendations were given did not reveal any benefit of the alert system for the patients. In controlled but non-randomized trials, however, the provision of concrete treatment recommendations when the alert was activated led to more frequent implementation of diagnostic or therapeutic measures, less loss of renal function, lower in-hospital mortality, and lower mortality after discharge compared to control groups without an electronic alert for AKI. CONCLUSION Non-randomized controlled trials of electronic alerts for AKI that were coupled with treatment recommendations have yielded evidence of improved care processes and treatment outcomes for patients with AKI. This review is limited by the low number of randomized trials and the wide variety of endpoints used in the studies that were evaluated.
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Affiliation(s)
- Michael Haase
- Medical Faculty, Otto-von-Guericke Universität (OvGU), Magdeburg; MVZ Diaverum, Potsdam; MHB
| | | | - Walter Zidek
- Medical Department, Division of Nephrology, Charité – Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin
| | - Jürgen Floege
- Clinic for Renal and Hypertensive Disorders, Rheumatological and Immunological Diseases (Medical Clinic II), University Hospital Aachen
| | - Christian Albert
- Department of Research and Science, Medical School Brandenburg Theodor Fontane (MHB)
- Medical Faculty, Otto-von-Guericke Universität (OvGU), Magdeburg; MVZ Diaverum, Potsdam; MHB
- University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, OVGU Magdeburg
- Clinic for Nephrology, Essen University Hospital
- Medical Department, Division of Nephrology, Charité – Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin
- Clinic for Renal and Hypertensive Disorders, Rheumatological and Immunological Diseases (Medical Clinic II), University Hospital Aachen
- Department of Clinical Chemistry and Pathobiochemistry (IKCP), OVGU Magdeburg
- Department of Social Medicine & Health Economics (ISMG), OVGU Magdeburg
| | - Berend Isermann
- Department of Clinical Chemistry and Pathobiochemistry (IKCP), OVGU Magdeburg
| | - Bernt-Peter Robra
- Department of Social Medicine & Health Economics (ISMG), OVGU Magdeburg
| | - Anja Haase-Fielitz
- Department of Research and Science, Medical School Brandenburg Theodor Fontane (MHB)
- Department of Social Medicine & Health Economics (ISMG), OVGU Magdeburg
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Vogel EA, Billups SJ, Herner SJ, Delate T. Renal Drug Dosing. Effectiveness of Outpatient Pharmacist-Based vs. Prescriber-Based Clinical Decision Support Systems. Appl Clin Inform 2016; 7:731-44. [PMID: 27466041 DOI: 10.4338/aci-2016-01-ra-0010] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 06/28/2016] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE The purpose of this study was to compare the effectiveness of an outpatient renal dose adjustment alert via a computerized provider order entry (CPOE) clinical decision support system (CDSS) versus a CDSS with alerts made to dispensing pharmacists. METHODS This was a retrospective analysis of patients with renal impairment and 30 medications that are contraindicated or require dose-adjustment in such patients. The primary outcome was the rate of renal dosing errors for study medications that were dispensed between August and December 2013, when a pharmacist-based CDSS was in place, versus August through December 2014, when a prescriber-based CDSS was in place. A dosing error was defined as a prescription for one of the study medications dispensed to a patient where the medication was contraindicated or improperly dosed based on the patient's renal function. The denominator was all prescriptions for the study medications dispensed during each respective study period. RESULTS During the pharmacist- and prescriber-based CDSS study periods, 49,054 and 50,678 prescriptions, respectively, were dispensed for one of the included medications. Of these, 878 (1.8%) and 758 (1.5%) prescriptions were dispensed to patients with renal impairment in the respective study periods. Patients in each group were similar with respect to age, sex, and renal function stage. Overall, the five-month error rate was 0.38%. Error rates were similar between the two groups: 0.36% and 0.40% in the pharmacist- and prescriber-based CDSS, respectively (p=0.523). The medication with the highest error rate was dofetilide (0.51% overall) while the medications with the lowest error rate were dabigatran, fondaparinux, and spironolactone (0.00% overall). CONCLUSIONS Prescriber- and pharmacist-based CDSS provided comparable, low rates of potential medication errors. Future studies should be undertaken to examine patient benefits of the prescriber-based CDSS.
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Affiliation(s)
| | | | | | - Thomas Delate
- Thomas Delate, PhD, MS, Kaiser Permanente Colorado Pharmacy Dept., 16601 E. Centretech Pkwy, Aurora, CO 80011 USA, Phone: 303-739-3538;,
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Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP, Grimshaw J. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev 2009; 2009:CD001096. [PMID: 19588323 PMCID: PMC4171964 DOI: 10.1002/14651858.cd001096.pub2] [Citation(s) in RCA: 271] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND The opportunity to improve care by delivering decision support to clinicians at the point of care represents one of the main incentives for implementing sophisticated clinical information systems. Previous reviews of computer reminder and decision support systems have reported mixed effects, possibly because they did not distinguish point of care computer reminders from e-mail alerts, computer-generated paper reminders, and other modes of delivering 'computer reminders'. OBJECTIVES To evaluate the effects on processes and outcomes of care attributable to on-screen computer reminders delivered to clinicians at the point of care. SEARCH STRATEGY We searched the Cochrane EPOC Group Trials register, MEDLINE, EMBASE and CINAHL and CENTRAL to July 2008, and scanned bibliographies from key articles. SELECTION CRITERIA Studies of a reminder delivered via a computer system routinely used by clinicians, with a randomised or quasi-randomised design and reporting at least one outcome involving a clinical endpoint or adherence to a recommended process of care. DATA COLLECTION AND ANALYSIS Two authors independently screened studies for eligibility and abstracted data. For each study, we calculated the median improvement in adherence to target processes of care and also identified the outcome with the largest such improvement. We then calculated the median absolute improvement in process adherence across all studies using both the median outcome from each study and the best outcome. MAIN RESULTS Twenty-eight studies (reporting a total of thirty-two comparisons) were included. Computer reminders achieved a median improvement in process adherence of 4.2% (interquartile range (IQR): 0.8% to 18.8%) across all reported process outcomes, 3.3% (IQR: 0.5% to 10.6%) for medication ordering, 3.8% (IQR: 0.5% to 6.6%) for vaccinations, and 3.8% (IQR: 0.4% to 16.3%) for test ordering. In a sensitivity analysis using the best outcome from each study, the median improvement was 5.6% (IQR: 2.0% to 19.2%) across all process measures and 6.2% (IQR: 3.0% to 28.0%) across measures of medication ordering. In the eight comparisons that reported dichotomous clinical endpoints, intervention patients experienced a median absolute improvement of 2.5% (IQR: 1.3% to 4.2%). Blood pressure was the most commonly reported clinical endpoint, with intervention patients experiencing a median reduction in their systolic blood pressure of 1.0 mmHg (IQR: 2.3 mmHg reduction to 2.0 mmHg increase). AUTHORS' CONCLUSIONS Point of care computer reminders generally achieve small to modest improvements in provider behaviour. A minority of interventions showed larger effects, but no specific reminder or contextual features were significantly associated with effect magnitude. Further research must identify design features and contextual factors consistently associated with larger improvements in provider behaviour if computer reminders are to succeed on more than a trial and error basis.
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Affiliation(s)
- Kaveh G Shojania
- Director, University of Toronto Centre for Patient Safety, Sunnybrook Health Sciences Centre, Room D474, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5
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