Purpose: A leachable cyclic amide (caprolactam) can be found in normal saline (NS) and 5% dextrose in water (D5W) plastic bags widely used in clinical practice if they contain polyamide in a multilayer sheeting. This contamination and the parameters that could influence its content have never been studied in a public work such as a scientific publication.
Methods: Two independent laboratories validated a caprolactam dosing method and studied contamination levels in several containers.
Results: Caprolactam content in multilayer polypropylene/polyamide/polypropylene plastic bags ranged from a mean (SD) of 5.43 (0.21) mg/L (D5W 1,000 mL) to 22.83 (1.26) mg/L (NS 50 mL). NS and D5W can be intravenously administered with a total daily dose of 3 L, corresponding to a minimal daily dose of 16.3 mg of caprolactam.
Conclusion: The high levels of contamination we have reported and the possibility of administering caprolactam to high-risk patients (eg, neonates, the elderly) should make it imperative for pharmaceutical companies to communicate publicly on the safety of caprolactam.
{"title":"Evaluation of parenteral diluent contamination by caprolactam.","authors":"Christophe Curti, Elise D'Huart, Edouard Lamy, Nicolas Primas, Cyril Fersing, Charleric Bornet, Nathalie Martin, Bertrand Pourroy, Patrice Vanelle","doi":"10.1093/ajhp/zxae204","DOIUrl":"10.1093/ajhp/zxae204","url":null,"abstract":"<p><strong>Purpose: </strong>A leachable cyclic amide (caprolactam) can be found in normal saline (NS) and 5% dextrose in water (D5W) plastic bags widely used in clinical practice if they contain polyamide in a multilayer sheeting. This contamination and the parameters that could influence its content have never been studied in a public work such as a scientific publication.</p><p><strong>Methods: </strong>Two independent laboratories validated a caprolactam dosing method and studied contamination levels in several containers.</p><p><strong>Results: </strong>Caprolactam content in multilayer polypropylene/polyamide/polypropylene plastic bags ranged from a mean (SD) of 5.43 (0.21) mg/L (D5W 1,000 mL) to 22.83 (1.26) mg/L (NS 50 mL). NS and D5W can be intravenously administered with a total daily dose of 3 L, corresponding to a minimal daily dose of 16.3 mg of caprolactam.</p><p><strong>Conclusion: </strong>The high levels of contamination we have reported and the possibility of administering caprolactam to high-risk patients (eg, neonates, the elderly) should make it imperative for pharmaceutical companies to communicate publicly on the safety of caprolactam.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":"e770-e776"},"PeriodicalIF":2.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141791672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: Illness perception (IP) significantly determines illness outcomes. This study determined the impact of a pharmacist educational intervention on IP and the predictors of IP in patients with prostate cancer (PCa).
Methods: Using a brief IP questionnaire, an interventional study of patients with PCa was conducted in all cancer reference hospitals in one Nigerian state. After a pre-post assessment of patients' IP, descriptive and inferential statistical analyses were performed. The impact of pharmacists' intervention on IP was determined by paired-sample statistics and correlation analysis at the 95% CI. Relationships and predictors of IP were determined using Kendall's tau-b (τb), likelihood ratio, and F tests of equality of means, respectively. P < 0.05 was considered statistically significant.
Results: Pharmacists' educational intervention significantly improved IP (SEM, 0.13; r = 0.875; P < 0.0001) among the 200 participants. The analyses also showed a significant paired sample difference (2.662; SEM, 0.06; 95%CI, 2.536-2.788; t = 41.69; df = 199; P < 0.0001). All subscales of patients' IP significantly improved except for illness consequences (P = 0.173) and identity (mean [SD], 4.40 [3.730] in both pre- and postintervention assessments). Pre- and postintervention assessments showed a significant negative relationship of IP with age (τb = -110 [P = 0.040] and τb = -14 [P = 0.021], respectively), Gleason score (τb = -0.125 [P = 0.021] and τb = -0.124 [P=0.012], respectively), and age at diagnosis (τb = -0.103 [P = 0.036] post intervention). IP was significantly dependent on the drug therapy (df = 8; mean square [M] = 6.292; F = 2.825; P = 0.006), alcohol intake (df = 1; M = 9.608; F = 4.082; P = 0.045) and Gleason score (df = 9; M = 6.706; F = 3.068; P = 0.002).
Conclusion: Patients' IP significantly improved after pharmacists' educational intervention. Predictors of IP were drug therapies, alcohol use and Gleason score. Findings can be extrapolated in clinical settings to improve treatment outcomes.
{"title":"Impact of a pharmacist-led intervention on prostate cancer illness perception.","authors":"Chinonyerem O Iheanacho, Valentine U Odili","doi":"10.1093/ajhp/zxae193","DOIUrl":"10.1093/ajhp/zxae193","url":null,"abstract":"<p><strong>Purpose: </strong>Illness perception (IP) significantly determines illness outcomes. This study determined the impact of a pharmacist educational intervention on IP and the predictors of IP in patients with prostate cancer (PCa).</p><p><strong>Methods: </strong>Using a brief IP questionnaire, an interventional study of patients with PCa was conducted in all cancer reference hospitals in one Nigerian state. After a pre-post assessment of patients' IP, descriptive and inferential statistical analyses were performed. The impact of pharmacists' intervention on IP was determined by paired-sample statistics and correlation analysis at the 95% CI. Relationships and predictors of IP were determined using Kendall's tau-b (τb), likelihood ratio, and F tests of equality of means, respectively. P < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>Pharmacists' educational intervention significantly improved IP (SEM, 0.13; r = 0.875; P < 0.0001) among the 200 participants. The analyses also showed a significant paired sample difference (2.662; SEM, 0.06; 95%CI, 2.536-2.788; t = 41.69; df = 199; P < 0.0001). All subscales of patients' IP significantly improved except for illness consequences (P = 0.173) and identity (mean [SD], 4.40 [3.730] in both pre- and postintervention assessments). Pre- and postintervention assessments showed a significant negative relationship of IP with age (τb = -110 [P = 0.040] and τb = -14 [P = 0.021], respectively), Gleason score (τb = -0.125 [P = 0.021] and τb = -0.124 [P=0.012], respectively), and age at diagnosis (τb = -0.103 [P = 0.036] post intervention). IP was significantly dependent on the drug therapy (df = 8; mean square [M] = 6.292; F = 2.825; P = 0.006), alcohol intake (df = 1; M = 9.608; F = 4.082; P = 0.045) and Gleason score (df = 9; M = 6.706; F = 3.068; P = 0.002).</p><p><strong>Conclusion: </strong>Patients' IP significantly improved after pharmacists' educational intervention. Predictors of IP were drug therapies, alcohol use and Gleason score. Findings can be extrapolated in clinical settings to improve treatment outcomes.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":"e751-e759"},"PeriodicalIF":2.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141615748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kimberly P Mills, Megan Kemper, Natchanan Charatcharungkiat, George M Hoganson
Purpose: To review the current literature regarding the pharmacological management of acute agitation in pediatric patients and practical considerations when comparing agents for empiric use in the emergency department (ED).
Summary: ED providers play an integral role in the management of acute agitation in pediatric patients. The development of acute agitation is multifactorial, and patients may quickly escalate upon arrival or while boarding in the ED. Non-pharmacological de-escalation strategies should be prioritized. If a patient poses a safety risk to themself or staff members, the administration of pharmacological treatment may be necessary to target the underlying cause and allow for the patient to safely engage in assessment and treatment. There is limited guidance regarding medication selection and dosing for acute agitation in pediatrics despite being a key facet of multimodal management.
Conclusion: The literature regarding pharmacotherapy for acute agitation management in pediatric patients remains scarce. Medications utilized vary depending on institutional practice as well as provider preference. Evidence suggests that implementing an institutional protocol for pediatric acute agitation in the ED may improve patient outcomes. Additional studies are needed optimize the pharmacological management of acute pediatric agitation and patient outcomes in the ED.
{"title":"Pharmacotherapy considerations for pediatric acute agitation management in the emergency department.","authors":"Kimberly P Mills, Megan Kemper, Natchanan Charatcharungkiat, George M Hoganson","doi":"10.1093/ajhp/zxae194","DOIUrl":"10.1093/ajhp/zxae194","url":null,"abstract":"<p><strong>Purpose: </strong>To review the current literature regarding the pharmacological management of acute agitation in pediatric patients and practical considerations when comparing agents for empiric use in the emergency department (ED).</p><p><strong>Summary: </strong>ED providers play an integral role in the management of acute agitation in pediatric patients. The development of acute agitation is multifactorial, and patients may quickly escalate upon arrival or while boarding in the ED. Non-pharmacological de-escalation strategies should be prioritized. If a patient poses a safety risk to themself or staff members, the administration of pharmacological treatment may be necessary to target the underlying cause and allow for the patient to safely engage in assessment and treatment. There is limited guidance regarding medication selection and dosing for acute agitation in pediatrics despite being a key facet of multimodal management.</p><p><strong>Conclusion: </strong>The literature regarding pharmacotherapy for acute agitation management in pediatric patients remains scarce. Medications utilized vary depending on institutional practice as well as provider preference. Evidence suggests that implementing an institutional protocol for pediatric acute agitation in the ED may improve patient outcomes. Additional studies are needed optimize the pharmacological management of acute pediatric agitation and patient outcomes in the ED.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":"e727-e741"},"PeriodicalIF":2.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141615749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miranda Rang, Rana Nasser, Rachel Gabor, Philip Whitfield
Purpose: Asymptomatic bacteriuria is often inappropriately treated, leading to antimicrobial-related adverse events and contributing to antimicrobial resistance. This study examined the asymptomatic bacteriuria treatment rate at a rural Wisconsin health system and the patient-specific factors that may be influencing clinicians' decisions to treat.
Methods: This is a retrospective descriptive report of patients admitted from January to May 2022 at 7 rural Wisconsin hospitals. Patients were included if they were a hospitalized adult with asymptomatic bacteriuria. Patients were excluded if they had a urinary tract abnormality, active infection, symptoms of a urinary tract infection, a planned urological surgery, or treatment or prophylaxis for a urinary tract infection within 72 hours of admission, were immunocompromised, or were transferred from an outside facility. Electronic and manual chart abstraction were used for data collection.
Results: Of 429 patients with a positive urine culture, 137 patients with asymptomatic bacteriuria were included in the study. The median age was 75 years, and most patients were female (80.3%). The treatment rate of asymptomatic bacteriuria was 78.1%, amounting to 393 days of unnecessary antimicrobial therapy. Symptoms of fatigue (P = 0.014) and altered mentation (P < 0.006) and urinalysis results of nitrite positivity (P = 0.026) and pyuria (P < 0.001) were each independently associated with antimicrobial treatment.
Conclusion: Despite guideline recommendations to avoid treatment of asymptomatic bacteriuria, treatment rates in rural hospitalized patients remain high. Nonspecific signs and symptoms of altered mentation and fatigue as well as laboratory findings of nitrite positivity and pyuria were factors associated with a decision to treat. Future stewardship efforts should speak to the poor specificity of these factors.
{"title":"Risk factors for treatment of asymptomatic bacteriuria in a rural health system.","authors":"Miranda Rang, Rana Nasser, Rachel Gabor, Philip Whitfield","doi":"10.1093/ajhp/zxae200","DOIUrl":"10.1093/ajhp/zxae200","url":null,"abstract":"<p><strong>Purpose: </strong>Asymptomatic bacteriuria is often inappropriately treated, leading to antimicrobial-related adverse events and contributing to antimicrobial resistance. This study examined the asymptomatic bacteriuria treatment rate at a rural Wisconsin health system and the patient-specific factors that may be influencing clinicians' decisions to treat.</p><p><strong>Methods: </strong>This is a retrospective descriptive report of patients admitted from January to May 2022 at 7 rural Wisconsin hospitals. Patients were included if they were a hospitalized adult with asymptomatic bacteriuria. Patients were excluded if they had a urinary tract abnormality, active infection, symptoms of a urinary tract infection, a planned urological surgery, or treatment or prophylaxis for a urinary tract infection within 72 hours of admission, were immunocompromised, or were transferred from an outside facility. Electronic and manual chart abstraction were used for data collection.</p><p><strong>Results: </strong>Of 429 patients with a positive urine culture, 137 patients with asymptomatic bacteriuria were included in the study. The median age was 75 years, and most patients were female (80.3%). The treatment rate of asymptomatic bacteriuria was 78.1%, amounting to 393 days of unnecessary antimicrobial therapy. Symptoms of fatigue (P = 0.014) and altered mentation (P < 0.006) and urinalysis results of nitrite positivity (P = 0.026) and pyuria (P < 0.001) were each independently associated with antimicrobial treatment.</p><p><strong>Conclusion: </strong>Despite guideline recommendations to avoid treatment of asymptomatic bacteriuria, treatment rates in rural hospitalized patients remain high. Nonspecific signs and symptoms of altered mentation and fatigue as well as laboratory findings of nitrite positivity and pyuria were factors associated with a decision to treat. Future stewardship efforts should speak to the poor specificity of these factors.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":"S180-S188"},"PeriodicalIF":2.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141619027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michelle Cawley, Rebecca Carlson, Tyler A Vest, Stephen F Eckel
<p><strong>Disclaimer: </strong>In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.</p><p><strong>Purpose: </strong>This article summarizes a novel methodology of applying machine learning (ML) algorithms trained with external training data to assist with article screening for 2 annual review series related to the medication-use process (MUP) generally and the MUP in ambulatory care settings (ACMUP) specifically. As the literature review for these 2 series grew over time, it became essential for the authors to develop methods to be efficient while still capturing most of the relevant literature. The ML model can be used to predict whether search results are likely to be relevant or not relevant. Results least likely to be relevant can then be excluded without manual screening, allowing research teams to save time that would otherwise be spent reviewing a portion of the search results for inclusion. ML models require a large training dataset typically derived from the unclassified corpus. In this study, the authors demonstrate the efficacy of training the ML model using external training data, which is possible in scenarios such as a systematic review update or ongoing review series such as those for the MUP and ACMUP.</p><p><strong>Summary: </strong>The authors ran 3 simulations using screening decisions from previous publications and in-process manuscripts for the MUP and ACMUP review series to test the efficacy of the approach. The simulations were compared to actual manual screening decisions made by the research teams to include or exclude articles using title and abstract text. For each simulation, the authors developed a training dataset using a sample of screening decisions from previous years to predict article relevance in an "unclassified" corpus. In this case, the screening decisions for the unclassified corpus were actually known, allowing us to calculate recall (percent of relevant articles captured) and time saved using the number of articles that would be excluded without manual review. Combined, the ML approach correctly labeled 187 of 192 relevant studies. The 3 simulations included 17,227 unique studies, and using ML the authors demonstrated that 13,201 studies could have been excluded without manual screening while still maintaining recall of relevant articles of 95% or greater.</p><p><strong>Conclusion: </strong>This novel approach is applicable to systematic reviews and ongoing review series, including those for the MUP and ACMUP. Pharmacists have a duty to review and incorporate best practices into their organizations to improve the efficiency and cost of
{"title":"Machine learning-assisted literature screening for a medication-use process-related systematic review.","authors":"Michelle Cawley, Rebecca Carlson, Tyler A Vest, Stephen F Eckel","doi":"10.1093/ajhp/zxae357","DOIUrl":"https://doi.org/10.1093/ajhp/zxae357","url":null,"abstract":"<p><strong>Disclaimer: </strong>In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.</p><p><strong>Purpose: </strong>This article summarizes a novel methodology of applying machine learning (ML) algorithms trained with external training data to assist with article screening for 2 annual review series related to the medication-use process (MUP) generally and the MUP in ambulatory care settings (ACMUP) specifically. As the literature review for these 2 series grew over time, it became essential for the authors to develop methods to be efficient while still capturing most of the relevant literature. The ML model can be used to predict whether search results are likely to be relevant or not relevant. Results least likely to be relevant can then be excluded without manual screening, allowing research teams to save time that would otherwise be spent reviewing a portion of the search results for inclusion. ML models require a large training dataset typically derived from the unclassified corpus. In this study, the authors demonstrate the efficacy of training the ML model using external training data, which is possible in scenarios such as a systematic review update or ongoing review series such as those for the MUP and ACMUP.</p><p><strong>Summary: </strong>The authors ran 3 simulations using screening decisions from previous publications and in-process manuscripts for the MUP and ACMUP review series to test the efficacy of the approach. The simulations were compared to actual manual screening decisions made by the research teams to include or exclude articles using title and abstract text. For each simulation, the authors developed a training dataset using a sample of screening decisions from previous years to predict article relevance in an \"unclassified\" corpus. In this case, the screening decisions for the unclassified corpus were actually known, allowing us to calculate recall (percent of relevant articles captured) and time saved using the number of articles that would be excluded without manual review. Combined, the ML approach correctly labeled 187 of 192 relevant studies. The 3 simulations included 17,227 unique studies, and using ML the authors demonstrated that 13,201 studies could have been excluded without manual screening while still maintaining recall of relevant articles of 95% or greater.</p><p><strong>Conclusion: </strong>This novel approach is applicable to systematic reviews and ongoing review series, including those for the MUP and ACMUP. Pharmacists have a duty to review and incorporate best practices into their organizations to improve the efficiency and cost of ","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142685846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicholas P Gazda, Tyler A Vest, Grayson K Peek, Stephen F Eckel
Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.
Purpose: This article identifies, prioritizes, and summarizes published literature on the ambulatory care medication-use process (ACMUP) from calendar year 2021 that can impact ambulatory pharmacy practice. The MUP is the foundational system that provides the framework for safe medication utilization within the healthcare environment and was reimagined to focus on new innovations and advancements in ambulatory pharmacy practice. The ACMUP is defined in this article as having the following components: transitions of care, prescribing and collaborative practice, accessing care, adherence, and monitoring and quality. Articles evaluating at least one step of the ACMUP were assessed for their usefulness toward practice improvement.
Summary: A PubMed search was conducted in January 2022 for the year 2021 using targeted Medical Subject Headings keywords and the tables of contents of selected pharmacy journals were also searched, providing a total of 6,026 articles. A thorough review identified 86 potentially practice-enhancing articles: 10 for transitions of care, 9 for prescribing and collaborative practice, 20 for adherence, 17 for accessing care, 18 for monitoring and quality, and 12 for monitoring and medication therapy management. Ranking of the articles for importance by peers led to the selection of key articles from each category. The highest ranked articles are briefly summarized, with a mention of why each article is important. The other articles are listed for further review and evaluation.
Conclusion: It is important to routinely review the published literature and to incorporate significant findings into daily practice. This article continues a series of articles defining and evaluating the currently published literature around the ACMUP. As healthcare continues to advance and care shifts to ambulatory settings, the ACMUP will continue to be a crucial process to evaluate.
{"title":"Bridging the continuity: Practice-enhancing publications about the ambulatory care medication-use process in 2021.","authors":"Nicholas P Gazda, Tyler A Vest, Grayson K Peek, Stephen F Eckel","doi":"10.1093/ajhp/zxae358","DOIUrl":"https://doi.org/10.1093/ajhp/zxae358","url":null,"abstract":"<p><strong>Disclaimer: </strong>In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.</p><p><strong>Purpose: </strong>This article identifies, prioritizes, and summarizes published literature on the ambulatory care medication-use process (ACMUP) from calendar year 2021 that can impact ambulatory pharmacy practice. The MUP is the foundational system that provides the framework for safe medication utilization within the healthcare environment and was reimagined to focus on new innovations and advancements in ambulatory pharmacy practice. The ACMUP is defined in this article as having the following components: transitions of care, prescribing and collaborative practice, accessing care, adherence, and monitoring and quality. Articles evaluating at least one step of the ACMUP were assessed for their usefulness toward practice improvement.</p><p><strong>Summary: </strong>A PubMed search was conducted in January 2022 for the year 2021 using targeted Medical Subject Headings keywords and the tables of contents of selected pharmacy journals were also searched, providing a total of 6,026 articles. A thorough review identified 86 potentially practice-enhancing articles: 10 for transitions of care, 9 for prescribing and collaborative practice, 20 for adherence, 17 for accessing care, 18 for monitoring and quality, and 12 for monitoring and medication therapy management. Ranking of the articles for importance by peers led to the selection of key articles from each category. The highest ranked articles are briefly summarized, with a mention of why each article is important. The other articles are listed for further review and evaluation.</p><p><strong>Conclusion: </strong>It is important to routinely review the published literature and to incorporate significant findings into daily practice. This article continues a series of articles defining and evaluating the currently published literature around the ACMUP. As healthcare continues to advance and care shifts to ambulatory settings, the ACMUP will continue to be a crucial process to evaluate.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142685843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Whitney Seals, Mary Pat Holder, Shea Polancich, James Edward Bryant, Badari Birur, Bradley G Burk
Purpose: Secondary to the risk of antipsychotic-induced acute dystonia, prophylactic use of benztropine is occasionally warranted but is recommended for no longer than 7 days after initiating an antipsychotic, correlating to the period of highest dystonia risk. Despite the associated increased anticholinergic burden, many clinicians continue to order benztropine for periods exceeding the recommended prophylactic duration. We investigated the reduction of benztropine use duration subsequent to implementation of truncated electronic entry orders to improve benztropine prescribing within an acute psychiatric facility.
Methods: Data were collected for psychiatric inpatients admitted between January and June 2020 who were prescribed scheduled benztropine. In a quality improvement initiative implemented in April 2022, electronic orders for benztropine were modified from a 180-day to a 7-day duration, with subsequent postintervention data collection. The primary outcomes included a change in the duration of benztropine use for any indication in the hospital, and a change in the percentage of patients meeting predetermined "unnecessary use" criteria. Secondary analyses included the percentage of patients with discharge prescriptions for scheduled benztropine (either for prophylaxis or for other indications) in the pre- and postintervention periods.
Results: 73 pre- and 77 postintervention individual patients/encounters were included. Following the intervention, in-hospital duration of benztropine use for any indication decreased from a median of 14 days to a median of 7.5 days (P < 0.05), and appropriate use increased by 92.9%. The percentage of patients with prescriptions for scheduled benztropine decreased from 67.1% in the preintervention group to 29.9% in the postintervention group.
Conclusion: Decreased benztropine use duration, by means of truncated order entry sentences, during inpatient psychiatric admissions, appears feasible regardless of dual antipsychotic or first-generation antipsychotic use, and may reduce the rates of benztropine prescriptions written for discharge.
{"title":"Reduction of benztropine use duration in acute psychiatry: A quality improvement initiative.","authors":"Whitney Seals, Mary Pat Holder, Shea Polancich, James Edward Bryant, Badari Birur, Bradley G Burk","doi":"10.1093/ajhp/zxae196","DOIUrl":"10.1093/ajhp/zxae196","url":null,"abstract":"<p><strong>Purpose: </strong>Secondary to the risk of antipsychotic-induced acute dystonia, prophylactic use of benztropine is occasionally warranted but is recommended for no longer than 7 days after initiating an antipsychotic, correlating to the period of highest dystonia risk. Despite the associated increased anticholinergic burden, many clinicians continue to order benztropine for periods exceeding the recommended prophylactic duration. We investigated the reduction of benztropine use duration subsequent to implementation of truncated electronic entry orders to improve benztropine prescribing within an acute psychiatric facility.</p><p><strong>Methods: </strong>Data were collected for psychiatric inpatients admitted between January and June 2020 who were prescribed scheduled benztropine. In a quality improvement initiative implemented in April 2022, electronic orders for benztropine were modified from a 180-day to a 7-day duration, with subsequent postintervention data collection. The primary outcomes included a change in the duration of benztropine use for any indication in the hospital, and a change in the percentage of patients meeting predetermined \"unnecessary use\" criteria. Secondary analyses included the percentage of patients with discharge prescriptions for scheduled benztropine (either for prophylaxis or for other indications) in the pre- and postintervention periods.</p><p><strong>Results: </strong>73 pre- and 77 postintervention individual patients/encounters were included. Following the intervention, in-hospital duration of benztropine use for any indication decreased from a median of 14 days to a median of 7.5 days (P < 0.05), and appropriate use increased by 92.9%. The percentage of patients with prescriptions for scheduled benztropine decreased from 67.1% in the preintervention group to 29.9% in the postintervention group.</p><p><strong>Conclusion: </strong>Decreased benztropine use duration, by means of truncated order entry sentences, during inpatient psychiatric admissions, appears feasible regardless of dual antipsychotic or first-generation antipsychotic use, and may reduce the rates of benztropine prescriptions written for discharge.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":"e742-e750"},"PeriodicalIF":2.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141625655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to: Heterogeneity, Bayesian thinking, and phenotyping in critical care: A primer.","authors":"","doi":"10.1093/ajhp/zxae281","DOIUrl":"10.1093/ajhp/zxae281","url":null,"abstract":"","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":"e726"},"PeriodicalIF":2.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142405815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Janci Addison, Brittany Glowacki, Denise Kelley, Kristin M Janzen, Steven Wulfe
Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.
Purpose: A previous study at Ascension Seton Hospital Network (ASHN) found a 1:1 dose conversion to insulin detemir 100 units/mL (iDet100) from insulin glargine 300 units/mL (iGlar300) increased the incidence of hypoglycemia as compared to a 1:1 conversion from insulin glargine 100 units/mL. No studies have evaluated an automatic 20% dose reduction for this specific therapeutic interchange. The purpose of this study was to compare hypoglycemia rates following implementation of a protocol specifying a minimum 20% dose reduction when converting from iGlar300 to inpatient iDet100.
Methods: This multicenter, retrospective chart review-based study was a before/after study evaluating the impact of an ASHN protocol implemented in April 2021 requiring a minimum 20% reduction when converting from home iGlar300 to inpatient iDet100. Previously, a 1:1 interchange was standard. Patients admitted between May 2019 and December 2022 were included if at least 1 dose of iDet100 was received following interchange from iGlar300. The primary endpoint was hypoglycemia incidence before and after protocol implementation. Secondary endpoints included time to first hypoglycemia and number of doses given before hypoglycemia. Logistic regression was performed to analyze the relationship between percent interchange from home dose and hypoglycemia rate.
Results: A total of 284 patients were included: 128 in the preprotocol arm and 156 in the postprotocol arm. The incidence of hypoglycemia was significantly lower in the postprotocol arm than in the preprotocol arm (11.9% vs 24.7%; P = 0.018). The median time to first hypoglycemia was longer in the postprotocol versus the preprotocol arm, though the difference was not statistically significant (13 vs 18.5 hours, P = 0.082). For each percent reduction from iGlar300 to iDet100, the likelihood of hypoglycemia was reduced by 5.3%.
Conclusion: A protocol requiring a minimum 20% dose reduction from iGlar300 to inpatient iDet100 reduced the incidence of hypoglycemia. Health systems should consider adopting a similar approach to reduce the occurrence of hypoglycemia upon interchange.
{"title":"Evaluation of an inpatient automatic dose reduction protocol for concentrated insulin glargine upon therapeutic interchange to insulin detemir on hypoglycemia rates.","authors":"Janci Addison, Brittany Glowacki, Denise Kelley, Kristin M Janzen, Steven Wulfe","doi":"10.1093/ajhp/zxae346","DOIUrl":"https://doi.org/10.1093/ajhp/zxae346","url":null,"abstract":"<p><strong>Disclaimer: </strong>In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.</p><p><strong>Purpose: </strong>A previous study at Ascension Seton Hospital Network (ASHN) found a 1:1 dose conversion to insulin detemir 100 units/mL (iDet100) from insulin glargine 300 units/mL (iGlar300) increased the incidence of hypoglycemia as compared to a 1:1 conversion from insulin glargine 100 units/mL. No studies have evaluated an automatic 20% dose reduction for this specific therapeutic interchange. The purpose of this study was to compare hypoglycemia rates following implementation of a protocol specifying a minimum 20% dose reduction when converting from iGlar300 to inpatient iDet100.</p><p><strong>Methods: </strong>This multicenter, retrospective chart review-based study was a before/after study evaluating the impact of an ASHN protocol implemented in April 2021 requiring a minimum 20% reduction when converting from home iGlar300 to inpatient iDet100. Previously, a 1:1 interchange was standard. Patients admitted between May 2019 and December 2022 were included if at least 1 dose of iDet100 was received following interchange from iGlar300. The primary endpoint was hypoglycemia incidence before and after protocol implementation. Secondary endpoints included time to first hypoglycemia and number of doses given before hypoglycemia. Logistic regression was performed to analyze the relationship between percent interchange from home dose and hypoglycemia rate.</p><p><strong>Results: </strong>A total of 284 patients were included: 128 in the preprotocol arm and 156 in the postprotocol arm. The incidence of hypoglycemia was significantly lower in the postprotocol arm than in the preprotocol arm (11.9% vs 24.7%; P = 0.018). The median time to first hypoglycemia was longer in the postprotocol versus the preprotocol arm, though the difference was not statistically significant (13 vs 18.5 hours, P = 0.082). For each percent reduction from iGlar300 to iDet100, the likelihood of hypoglycemia was reduced by 5.3%.</p><p><strong>Conclusion: </strong>A protocol requiring a minimum 20% dose reduction from iGlar300 to inpatient iDet100 reduced the incidence of hypoglycemia. Health systems should consider adopting a similar approach to reduce the occurrence of hypoglycemia upon interchange.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142680567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}