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Camacho EM, Gavan S, Keers RN, Chuter A, Elliott RA. Estimating the impact on patient safety of enabling the digital transfer of patients' prescription information in the English NHS. BMJ Qual Saf 2024; 33:726-737. [PMID: 38531659 PMCID: PMC11503046 DOI: 10.1136/bmjqs-2023-016675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/15/2023] [Indexed: 03/28/2024]
Abstract
OBJECTIVES To estimate the number and burden of medication errors associated with prescription information transfer within the National Health Service (NHS) in England and the impact of implementing an interoperable prescription information system (a single digital prescribing record shared across NHS settings) in reducing these errors. METHODS We constructed a probabilistic mathematical model. We estimated the number of transition medication errors that would be undetected by standard medicines reconciliation, based on published literature, and scaled this up based on the annual number of hospital admissions. We used published literature to estimate the proportion of errors that lead to harm and applied this to the number of errors to estimate the associated burden (healthcare resource use and deaths). Finally, we used reported effect sizes for electronic prescription information sharing interventions to estimate the impact of implementing an interoperable prescription information system on number of errors and resulting harm. RESULTS Annually, around 1.8 million (95% credibility interval (CrI) 1.3 to 2.6 million) medication errors were estimated to occur at hospital transitions in England, affecting approximately 380 000 (95% CrI 260 397 to 539 876) patient episodes. Harm from these errors affects around 31 500 (95% CrI 22 407 to 42 906) patients, with 36 500 (95% CrI 25 093 to 52 019) additional bed days of inpatient care (costing around £17.8 million (95% CrI £12.4 to £24.9 million)) and >40 (95% CrI 9 to 146) deaths. Assuming the implementation of an interoperable prescription information system could reduce errors by 10% and 50%, there could be 180 000-913 000 fewer errors, 3000-15 800 fewer people who experience harm and 4-22 lives saved annually. CONCLUSIONS An interoperable prescription information system could provide major benefits for patient safety. Likely additional benefits include healthcare professional time saved, improved patient experience and care quality, quicker discharge and enhanced cross-organisational medicines optimisation. Our findings provide vital safety and economic evidence for the case to adopt interoperable prescription information systems.
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Affiliation(s)
- Elizabeth M Camacho
- Manchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK
- University of Liverpool, Liverpool, UK
| | - Sean Gavan
- Manchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK
| | | | | | - Rachel Ann Elliott
- Manchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK
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2
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Adducchio S, Grant ED, Fonseca LD, Omoloja A, Kumar G. Reducing Discharge Medication Reconciliation Errors at a Pediatric Neurology Inpatient Unit. Neurol Clin Pract 2024; 14:e200270. [PMID: 38524835 PMCID: PMC10955335 DOI: 10.1212/cpj.0000000000200270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 01/08/2024] [Indexed: 03/26/2024]
Abstract
Background and Objectives Medication reconciliation errors are a common problem in health care, particularly during transitions of care. Discharge medication reconciliation (DMR) errors in a pediatric setting can range from 26% to 42.2%. We conducted a quality improvement project to decrease DMR error rate at Dayton Children's Hospital in Dayton, Ohio. Methods We conducted 2 interventions, each with 3 Plan-Do-Study-Act cycles from September 2021 through February 2023. The first intervention focused on using current specialty neurology nurses as scribes and creating a template note to include the plan of care and review of DMR before discharge. Our second intervention consisted of standardizing the seizure rescue medication order by creating an order panel within our electronic medical record system for all the rescue medications presently available. Medication errors were documented by the specialty neurology nurse during a phone conversation on the next business day post discharge. DMR error rates were calculated for each week using a control chart. Medication errors and patient harm were classified according to the National Coordinating Council for Medication Error Reporting and Prevention Index. Results One hundred six errors were noted. Of these, 98 (92%) occurred in patients with seizure and 64 (60%) were related to prescription of seizure rescue medication specifically. The baseline error rate was calculated at 15.7% or 7 errors per month (January 2021 through June 2021). The average error rate dropped from 15.7% to 5.3% (2 errors per month) after initiation of our first intervention (September 2021). Twelve weeks after initiation of the second intervention, a 2.9% (1 error per month) was noted. Afterward, there was a ten-week period of 0% errors. Discussion Sustainable reduction of DMR errors in pediatric patients with epilepsy was achieved by using specialty neurology nurses to scribe the care plan and creating order panels to facilitate accuracy of discharge medication orders without additional cost to the hospital.
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Affiliation(s)
- Sara Adducchio
- Department of Neurology (SA, LDF, GK), Dayton Children's Hospital; Department of Pediatrics (EDG, GK), Wright State University Boonshoft School of Medicine, Dayton; and Department of Nephrology (AO), Dayton Children's Hospital, OH
| | - Ethan D Grant
- Department of Neurology (SA, LDF, GK), Dayton Children's Hospital; Department of Pediatrics (EDG, GK), Wright State University Boonshoft School of Medicine, Dayton; and Department of Nephrology (AO), Dayton Children's Hospital, OH
| | - Laura D Fonseca
- Department of Neurology (SA, LDF, GK), Dayton Children's Hospital; Department of Pediatrics (EDG, GK), Wright State University Boonshoft School of Medicine, Dayton; and Department of Nephrology (AO), Dayton Children's Hospital, OH
| | - Abiodun Omoloja
- Department of Neurology (SA, LDF, GK), Dayton Children's Hospital; Department of Pediatrics (EDG, GK), Wright State University Boonshoft School of Medicine, Dayton; and Department of Nephrology (AO), Dayton Children's Hospital, OH
| | - Gogi Kumar
- Department of Neurology (SA, LDF, GK), Dayton Children's Hospital; Department of Pediatrics (EDG, GK), Wright State University Boonshoft School of Medicine, Dayton; and Department of Nephrology (AO), Dayton Children's Hospital, OH
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3
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A National Modified Delphi Consensus Process to Prioritize Experiences and Interventions for Antipsychotic Medication Deprescribing Among Adult Patients With Critical Illness. Crit Care Explor 2022; 4:e0806. [PMID: 36506828 PMCID: PMC9722588 DOI: 10.1097/cce.0000000000000806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Antipsychotic medications are frequently prescribed to critically ill patients leading to their continuation at transitions of care thereafter. The aim of this study was to generate evidence-informed consensus statements with key stakeholders on antipsychotic minimization and deprescribing for ICU patients. DESIGN We completed three rounds of surveys in a National modified Delphi consensus process. During rounds 1 and 2, participants used a 9-point Likert scale (1-strongly disagree, 9-strongly agree) to rate perceptions related to antipsychotic prescribing (i.e., experiences regarding delivery of patient care), knowledge and frequency of antipsychotic use, knowledge surrounding antipsychotic guideline recommendations, and strategies (i.e., interventions addressing current antipsychotic prescribing practices) for antipsychotic minimization and deprescribing. Consensus was defined as a median score of 1-3 or 7-9. During round 3, participants ranked statements on antipsychotic minimization and deprescribing strategies that achieved consensus (median score 7-9) using a weighted ranking scale (0-100 points) to determine priority. SETTING Online surveys distributed across Canada. SUBJECTS Fifty-seven stakeholders (physicians, nurses, pharmacists) who work with ICU patients. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Participants prioritized six consensus statements on strategies for consideration when developing and implementing interventions to guide antipsychotic minimization and deprescribing. Statements focused on limiting antipsychotic prescribing to patients: 1) with hyperactive delirium, 2) at risk to themselves, their family, and/or staff due to agitation, and 3) whose care and treatment are being impacted due to agitation or delirium, and prioritizing 4) communication among staff about antipsychotic effectiveness, 5) direct and efficient communication tools on antipsychotic deprescribing at transitions of care, and 6) medication reconciliation at transitions of care. CONCLUSIONS We engaged diverse stakeholders to generate evidence-informed consensus statements regarding antipsychotic prescribing perceptions and practices that can be used to implement interventions to promote antipsychotic minimization and deprescribing strategies for ICU patients with and following critical illness.
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Singh H, Tang T, Steele Gray C, Kokorelias K, Thombs R, Plett D, Heffernan M, Jarach CM, Armas A, Law S, Cunningham HV, Nie JX, Ellen ME, Thavorn K, Nelson MLA. Recommendations for the Design and Delivery of Transitions-Focused Digital Health Interventions: Rapid Review. JMIR Aging 2022; 5:e35929. [PMID: 35587874 PMCID: PMC9164100 DOI: 10.2196/35929] [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: 01/06/2022] [Accepted: 04/06/2022] [Indexed: 12/02/2022] Open
Abstract
Background Older adults experience a high risk of adverse events during hospital-to-home transitions. Implementation barriers have prevented widespread clinical uptake of the various digital health technologies that aim to support hospital-to-home transitions. Objective To guide the development of a digital health intervention to support transitions from hospital to home (the Digital Bridge intervention), the specific objectives of this review were to describe the various roles and functions of health care providers supporting hospital-to-home transitions for older adults, allowing future technologies to be more targeted to support their work; describe the types of digital health interventions used to facilitate the transition from hospital to home for older adults and elucidate how these interventions support the roles and functions of providers; describe the lessons learned from the design and implementation of these interventions; and identify opportunities to improve the fit between technology and provider functions within the Digital Bridge intervention and other transition-focused digital health interventions. Methods This 2-phase rapid review involved a selective review of providers’ roles and their functions during hospital-to-home transitions (phase 1) and a structured literature review on digital health interventions used to support older adults’ hospital-to-home transitions (phase 2). During the analysis, the technology functions identified in phase 2 were linked to the provider roles and functions identified in phase 1. Results In phase 1, various provider roles were identified that facilitated hospital-to-home transitions, including navigation-specific roles and the roles of nurses and physicians. The key transition functions performed by providers were related to the 3 categories of continuity of care (ie, informational, management, and relational continuity). Phase 2, included articles (n=142) that reported digital health interventions targeting various medical conditions or groups. Most digital health interventions supported management continuity (eg, follow-up, assessment, and monitoring of patients’ status after hospital discharge), whereas informational and relational continuity were the least supported. The lessons learned from the interventions were categorized into technology- and research-related challenges and opportunities and informed several recommendations to guide the design of transition-focused digital health interventions. Conclusions This review highlights the need for Digital Bridge and other digital health interventions to align the design and delivery of digital health interventions with provider functions, design and test interventions with older adults, and examine multilevel outcomes. International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2020-045596
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Affiliation(s)
- Hardeep Singh
- Department of Occupational Science & Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,March of Dimes Canada, Toronto, ON, Canada.,Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Terence Tang
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.,Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Carolyn Steele Gray
- Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Kristina Kokorelias
- St. John's Rehab Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Rachel Thombs
- Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Donna Plett
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Matthew Heffernan
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Carlotta M Jarach
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Alana Armas
- March of Dimes Canada, Toronto, ON, Canada.,Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Susan Law
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | - Jason Xin Nie
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada
| | - Moriah E Ellen
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,Department of Health Policy and Management, Guilford Glazer Faculty of Business and Management and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Kednapa Thavorn
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.,School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Michelle LA Nelson
- March of Dimes Canada, Toronto, ON, Canada.,Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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Killin L, Hezam A, Anderson KK, Welk B. Advanced Medication Reconciliation: A Systematic Review of the Impact on Medication Errors and Adverse Drug Events Associated with Transitions of Care. Jt Comm J Qual Patient Saf 2021; 47:438-451. [PMID: 34103267 DOI: 10.1016/j.jcjq.2021.03.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 03/26/2021] [Accepted: 03/26/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVE The goal of this study was to conduct a systematic review on the impact of in-hospital electronic/enhanced medication reconciliation compared to basic medication reconciliation on medication errors, discrepancies, and adverse drug events (ADEs). METHODS The study team searched for peer-reviewed English-language articles in EMBASE, OVID, and Scopus databases up to October 2019. Included were randomized controlled trials (RCTs), pre-post, or interrupted time series designs with medication errors, discrepancies, or ADEs as an outcome, and medication reconciliation applied at hospital discharge. Basic medication reconciliation was defined as using a paper-based format, electronic medication reconciliation as using an electronic format, and enhanced medication reconciliation as incorporating additional interventions to reduce medication errors. RESULTS Ten studies (three RCTs, one retrospective cohort study, two interrupted time series studies, three pre-post studies, and one longitudinal study) were identified, with six and four studies comparing basic medication reconciliation to electronic and enhanced medication reconciliation, respectively. The overall risk of bias of the included studies was low (three), unclear (two), moderate (three), and serious/high (two). In general, studies demonstrated that electronic medication reconciliation reduced the odds of a medication discrepancy or ADE and may reduce the mean number of medication discrepancies. Enhanced medication reconciliation was more equivocal, with some studies showing improvement; however, risk of bias was generally significant. CONCLUSION Electronic medication reconciliation tends to reduce the risk of ADE; however, these conclusions were limited due to a lack of consistency in study settings, interventions, and outcome definitions. Future studies with more rigorous designs and standardized outcome definitions would provide clarity on this topic.
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Manias E, Kusljic S, Wu A. Interventions to reduce medication errors in adult medical and surgical settings: a systematic review. Ther Adv Drug Saf 2020; 11:2042098620968309. [PMID: 33240478 PMCID: PMC7672746 DOI: 10.1177/2042098620968309] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 09/23/2020] [Indexed: 12/02/2022] Open
Abstract
Background and Aims: Medication errors occur at any point of the medication management process, and are a major cause of death and harm globally. The objective of this review was to compare the effectiveness of different interventions in reducing prescribing, dispensing and administration medication errors in acute medical and surgical settings. Methods: The protocol for this systematic review was registered in PROSPERO (CRD42019124587). The library databases, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews and the Cochrane Central Register of Controlled Trials were searched from inception to February 2019. Studies were included if they involved testing of an intervention aimed at reducing medication errors in adult, acute medical or surgical settings. Meta-analyses were performed to examine the effectiveness of intervention types. Results: A total of 34 articles were included with 12 intervention types identified. Meta-analysis showed that prescribing errors were reduced by pharmacist-led medication reconciliation, computerised medication reconciliation, pharmacist partnership, prescriber education, medication reconciliation by trained mentors and computerised physician order entry (CPOE) as single interventions. Medication administration errors were reduced by CPOE and the use of an automated drug distribution system as single interventions. Combined interventions were also found to be effective in reducing prescribing or administration medication errors. No interventions were found to reduce dispensing error rates. Most studies were conducted at single-site hospitals, with chart review being the most common method for collecting medication error data. Clinical significance of interventions was examined in 21 studies. Since many studies were conducted in a pre–post format, future studies should include a concurrent control group. Conclusion: The systematic review identified a number of single and combined intervention types that were effective in reducing medication errors, which clinicians and policymakers could consider for implementation in medical and surgical settings. New directions for future research should examine interdisciplinary collaborative approaches comprising physicians, pharmacists and nurses. Lay summary Activities to reduce medication errors in adult medical and surgical hospital areas Introduction: Medication errors or mistakes may happen at any time in hospital, and they are a major reason for death and harm around the world. Objective: To compare the effectiveness of different activities in reducing medication errors occurring with prescribing, giving and supplying medications in adult medical and surgical settings in hospital. Methods: Six library databases were examined from the time they were developed to February 2019. Studies were included if they involved testing of an activity aimed at reducing medication errors in adult medical and surgical settings in hospital. Statistical analysis was used to look at the success of different types of activities. Results: A total of 34 studies were included with 12 activity types identified. Statistical analysis showed that prescribing errors were reduced by pharmacists matching medications, computers matching medications, partnerships with pharmacists, prescriber education, medication matching by trained physicians, and computerised physician order entry (CPOE). Medication-giving errors were reduced by the use of CPOE and an automated medication distribution system. The combination of different activity types were also shown to be successful in reducing prescribing or medication-giving errors. No activities were found to be successful in reducing errors relating to supplying medications. Most studies were conducted at one hospital with reviewing patient charts being the most common way for collecting information about medication errors. In 21 out of 34 articles, researchers examined the effect of activity types on patient harm caused by medication errors. Many studies did not involve the use of a control group that does not receive the activity. Conclusion: A number of activity types were shown to be successful in reducing prescribing and medication-giving errors. New directions for future research should examine activities comprising health professionals working together.
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Affiliation(s)
- Elizabeth Manias
- School of Nursing and Midwifery, Centre for Quality and Patient Safety Research, Institute for Health Transformation, Deakin University, 221 Burwood Highway, Burwood, Victoria 3125, Australia
| | - Snezana Kusljic
- Department of Nursing, The University of Melbourne, Melbourne, Victoria, Australia
| | - Angela Wu
- Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
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Mohiuddin AK. Framework for Patient Safety. Innov Pharm 2019; 10. [PMID: 34007524 PMCID: PMC7643696 DOI: 10.24926/iip.v10i1.1637] [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] [Indexed: 11/18/2022] Open
Abstract
A commitment on quality objectives is a crucial element of quality policy in HROs, such as hospitals and other healthcare institutions. The quality of care includes objectives related to effectiveness, efficiency, and a patient's experience. Healthcare organizations are also aware of the importance of promoting safety practices and the resiliency analysis of the clinical practice in order to improve quality. Patient Safety Culture has been defined as the product of individual and group values, attitudes, competencies, and patterns of behavior that determines their commitment, style, and proficiency with the organization's health and safety programs. The safety culture of a health center offers an indirect means for its involvement in quality. Poor involvement of professionals in safety has negative consequences for patients. Envisioning the future of patient safety is more than an academic exercise. Appealing visions can help channel human energies, set new directions, and open the doors to alternative approaches. An outside observer is struck by three characteristics that are very different from the culture of the early 21st century: a deep sense of individual and institutional accountability for safety, an emphasis on fairness and transparency, and pervasive collaboration and teamwork based on mutual respect. Speaking up is important for patient safety, but healthcare professionals often hesitate to voice their concerns. Direct supervisors have an important role in influencing speaking up. However, good insight into the relationship between managers' behavior and employees' perceptions about whether speaking up is safe and worthwhile is still lacking. The evaluation should cover the following areas in both instruments: strategy (inquiry on their commitment to the quality and safety strategy, indicators' feedback, and risks maps), support systems for clinical decisions (digital record algorithms to make decisions and for accessibility to patient clinical information), equipment (adequacy), follow-up (availability of tests when needed), person-centered care (respect of patients' values and preferences), evidence-based practice (practices in accordance with guidelines), delays (on scheduled tests, surgery, and outpatient care), and cost-effective treatments (adequacy).
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Affiliation(s)
- A K Mohiuddin
- Department of Pharmacy, World University of Bangladesh, Bangladesh
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8
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Liu YL, Chu LL, Su HC, Tsai KT, Kao PH, Chen JF, Hsieh HC, Lin HJ, Hsu CC, Huang CC. Impact of Computer-Based and Pharmacist-Assisted Medication Review Initiated in the Emergency Department. J Am Geriatr Soc 2019; 67:2298-2304. [PMID: 31335969 DOI: 10.1111/jgs.16078] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 05/30/2019] [Accepted: 06/15/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Whether early medication reconciliation and integration can reduce polypharmacy and potentially inappropriate medication (PIM) in the emergency department (ED) remains unclear. Polypharmacy and PIM have been recognized as significant causes of adverse drug events in older adults. Therefore, this pilot study was conducted to delineate this issue. DESIGN An interventional study. SETTING A medical center in Taiwan. PARTICIPANTS Older ED patients (aged ≥65 years) awaiting hospitalization between December 1, 2017, and October 31, 2018 were recruited in this study. A multidisciplinary team and a computer-based and pharmacist-assisted medication reconciliation and integration system were implemented. MEASUREMENTS The reduced proportions of major polypharmacy (≥10 medications) and PIM at hospital discharge were compared with those on admission to the ED between pre- and post-intervention periods. RESULTS A total of 911 patients (pre-intervention = 243 vs post-intervention = 668) were recruited. The proportions of major polypharmacy and PIM were lower in the post-intervention than in the pre-intervention period (-79.4% vs -65.3%; P < .001, and - 67.5% vs -49.1%; P < .001, respectively). The number of medications was reduced from 12.5 ± 2.7 to 6.9 ± 3.0 in the post-intervention period in patients with major polypharmacy (P < .001). CONCLUSION Early initiation of computer-based and pharmacist-assisted intervention in the ED for reducing major polypharmacy and PIM is a promising method for improving geriatric care and reducing medical expenditures. J Am Geriatr Soc 67:2298-2304, 2019.
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Affiliation(s)
- Ying-Ling Liu
- Department of Pharmacy, Chi-Mei Medical Center, Tainan, Taiwan
| | - Li-Ling Chu
- Department of Pharmacy, Chi-Mei Medical Center, Tainan, Taiwan
| | - Hui-Chen Su
- Department of Pharmacy, Chi-Mei Medical Center, Tainan, Taiwan
| | - Kang-Ting Tsai
- Department of Geriatrics and Gerontology, Chi-Mei Medical Center, Tainan, Taiwan.,Department of Senior Services, Southern Taiwan University of Science and Technology, Tainan, Taiwan
| | - Pei-Hsin Kao
- Department of Psychiatry, Chi-Mei Medical Center, Tainan, Taiwan
| | - Jung-Fang Chen
- Department of Pharmacy, Chi-Mei Medical Center, Tainan, Taiwan
| | | | - Hung-Jung Lin
- Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan.,Department of Biotechnology, Southern Taiwan University of Science and Technology, Tainan, Taiwan.,Department of Emergency Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chien-Chin Hsu
- Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan.,Department of Biotechnology, Southern Taiwan University of Science and Technology, Tainan, Taiwan
| | - Chien-Cheng Huang
- Department of Geriatrics and Gerontology, Chi-Mei Medical Center, Tainan, Taiwan.,Department of Senior Services, Southern Taiwan University of Science and Technology, Tainan, Taiwan.,Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan.,Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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9
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Wang H, Meng L, Song J, Yang J, Li J, Qiu F. Electronic medication reconciliation in hospitals: a systematic review and meta-analysis. Eur J Hosp Pharm 2018; 25:245-250. [PMID: 31157034 PMCID: PMC6452330 DOI: 10.1136/ejhpharm-2017-001441] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 01/11/2018] [Accepted: 01/16/2018] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Medication reconciliation (MedRec) is recognised as a multiprofessional process for the prevention of medication discrepancies. The goal of this study is to evaluate the available electronic medication reconciliation (eMedRec) tools and their effect on unintended discrepancies that occur in hospital institutions. METHOD PubMed, EMBASE, the Cochrane Library, Web of Science, the ClinicalTrials.gov website and four other Chinese databases were searched for relevant studies starting from their inception through October 2017. Methodological quality was assessed using the nine standard criteria of Cochrane Effective Practice and Organisation of Care Review Group (EPOC) and meta-analysis was performed using RevMan5.3 software. RESULTS A total of 13 studies (three randomised controlled trials and 10 non-randomised controlled trials) were identified. Meta-analysis results demonstrated a reduced number of medications with unintended discrepancies (relative risk (RR)=1.85, 95% confidence interval (CI) 1.55 to 2.21), while no statistically significant differences were observed in the number of patients with unintended medication discrepancies (RR=2.74, 95% CI 0.59 to 12.73). Common discrepancies included medication omission, dose discrepancy, and frequency discrepancy. We found that the clinical impact of medication discrepancy was mild. A total of 12 electronic tools were reported and were mostly integrated into the hospital's information system. However, the usability, user adherence, and user satisfaction were found to lack sufficient evidence. CONCLUSION eMedRec was shown to reduce the incidence of medication with unintended discrepancies and improve medication safety. However, the electronic tools are diversified and the effects on other outcomes still require a comprehensive evaluation. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42017067528.
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Affiliation(s)
- Hongmei Wang
- Department of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Long Meng
- Department of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Song
- Department of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiadan Yang
- Department of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Juan Li
- Department of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Feng Qiu
- Department of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China
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10
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Khan A, Furtak SL, Melvin P, Rogers JE, Schuster MA, Landrigan CP. Parent-Reported Errors and Adverse Events in Hospitalized Children. JAMA Pediatr 2016; 170:e154608. [PMID: 26928413 PMCID: PMC5336322 DOI: 10.1001/jamapediatrics.2015.4608] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Limited data exist regarding the incidence and nature of patient- and family-reported medical errors, particularly in pediatrics. OBJECTIVE To determine the frequency with which parents experience patient safety incidents and the proportion of reported incidents that meet standard definitions of medical errors and preventable adverse events (AEs). DESIGN, SETTING, AND PARTICIPANTS We conducted a prospective cohort study from May 2013 to October 2014 within 2 general pediatric units at a children's hospital. Included in the study were English-speaking parents (N = 471) of randomly selected inpatients (ages 0-17 years) prior to discharge. Parents reported via written survey whether their child experienced any safety incidents during hospitalization. Two physician reviewers classified incidents as medical errors, other quality issues, or exclusions (κ = 0.64; agreement = 78%). They then categorized medical errors as harmful (ie, preventable AEs) or nonharmful (κ = 0.77; agreement = 89%). We analyzed errors/AEs using descriptive statistics and explored predictors of parent-reported errors using bivariate statistics. We subsequently reviewed patient medical records to determine the number of parent-reported errors that were present in the medical record. We obtained demographic/clinical data from hospital administrative records. MAIN OUTCOMES AND MEASURES Medical errors and preventable AEs. RESULTS The mean (SD) age of the 383 parents surveyed was 36.6 (8.9) years; most respondents (n = 266) were female. Of 383 parents surveyed (81% response rate), 34 parents (8.9%) reported 37 safety incidents. Among these, 62% (n = 23, 6.0 per 100 admissions) were determined to be medical errors on physician review, 24% (n = 9) were determined to be other quality problems, and 14% (n = 5) were determined to be neither. Thirty percent (n = 7, 1.8 per 100 admissions) of medical errors caused harm (ie, were preventable AEs). On bivariate analysis, children with medical errors appeared to have longer lengths of stay (median [interquartile range], 2.9 days [2.2-6.9] vs 2.5 days [1.9-4.1]; P = .04), more often had a metabolic (14.3% vs 3.0%; P = .04) or neuromuscular (14.3% vs 3.6%; P = .05) condition, and more often had an annual household income greater than $100,000 (38.1% vs 30.1%; P = .06) than those without errors. Fifty-seven percent (n = 13) of parent-reported medical errors were also identified on subsequent medical record review. CONCLUSIONS AND RELEVANCE Parents frequently reported errors and preventable AEs, many of which were not otherwise documented in the medical record. Families are an underused source of data about errors, particularly preventable AEs. Hospitals may wish to consider incorporating family reports into routine safety surveillance systems.
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Affiliation(s)
- Alisa Khan
- Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts2Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Stephannie L. Furtak
- Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Patrice Melvin
- Center for Patient Safety and Quality Research, Boston Children’s Hospital, Boston, Massachusetts
| | - Jayne E. Rogers
- Department of Nursing, Boston Children’s Hospital, Boston, Massachusetts
| | - Mark A. Schuster
- Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts2Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Christopher P. Landrigan
- Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts2Department of Pediatrics, Harvard Medical School, Boston, Massachusetts5Division of Sleep Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
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