Accuracy of Antiretroviral Prescribing in a Community Teaching Hospital: A Medication Use Evaluation

2019 ◽  
pp. 089719001985784
Author(s):  
Jacob Lines ◽  
Paul Lewis
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Medication Error ◽  
Medication Errors ◽  
Retrospective Chart Review ◽  
The United States ◽  
Error Rates ◽  
Transitions Of Care ◽  
Hiv Diagnosis ◽  
Increased Risk

Background: Medication errors account for nearly 250 000 deaths in the United States annually, with approximately 60% of errors occurring during transitions of care. Previous studies demonstrated that almost 80% of participants with human immunodeficiency virus (HIV) have experienced a medication error related to their antiretroviral therapy (ART). Objective: This retrospective chart review examines propensity and type of ART-related errors and further seeks to identify risk factors associated with higher error rates. Methods: Participants were identified as hospitalized adults ≥18 years old with preexisting HIV diagnosis receiving home ART from July 2015 to June 2017. Medication error categories included delays in therapy, dosing errors, scheduling conflicts, and miscellaneous errors. Logistic regression was used to examine risk factors for medication errors. Results: Mean age was 49 years, 76.5% were men, and 72.1% used hospital-supplied medication. For the primary outcome, 60.3% (41/68) of participants had at least 1 error, with 31.3% attributed to delays in therapy. Logistic regression demonstrated multiple tablet regimens (odds ratio [OR]: 3.40, 95% confidence interval [CI]: 1.22-9.48, P = .019) and serum creatinine (SCr) ≥1.5 mg/dL (OR: 8.87, 95% CI: 1.07-73.45, P = .043) were predictive for risk of medication errors. Regimens with significant drug–drug interactions (eg, cobicistat-containing regimens) were not significantly associated with increased risk of medication errors. Conclusions and Relevance: ART-related medication error rates remain prevalent and exceeded 60%. Independent risk factors for medication errors include use of multiple tablet regimens and SCr ≥1.5 mg/dL.

scholarly journals Exceeding Pitch Count Recommendations In Youth Baseball Increases The Elbow Injuries

2018 ◽  
Vol 6 (7_suppl4) ◽  
pp. 2325967118S0012
Author(s):  
Tetsuya Matsuura ◽  
Toshiyuki Iwame ◽  
Koichi Sairyo
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Multivariate Analysis ◽  
Univariate Analysis ◽  
The United States ◽  
Injury Incidence ◽  
Elbow Pain ◽  
Increased Risk ◽  
Youth Baseball ◽  
Elbow Injuries

Objectives: With the incidence of Little League elbow increasing, pitch limit recommendations for preventing throwing injuries have been developed in the United States and Japan. In 1995, the Japanese Society of Clinical Sports Medicine announced limits of 50 pitches per day and 200 pitches per week to prevent throwing injuries in younger than 12 years old. However the relationship between pitch limit recommendation and elbow injuries among pitchers has not been adequately studied. The aim of our study was to evaluate the association between pitch counts and elbow injuries in youth pitchers. Methods: A total of 149 pitchers without prior elbow pain were observed prospectively for 1 season to study injury incidence in relation to specific risk factors. Average age was 10.1 years (range, 7-11 years). One year later, all pitchers were examined by questionnaire. Subjects were asked whether they had experienced any episodes of elbow pain during the season. The questionnaire was also used to gather data on pitch counts per day and per week, age, number of training days per week, and number of games per year. We investigated the following risk factors for elbow injury: pitch counts, age, position, number of training days per week, and number of games per year. Data were analyzed by multivariate logistic regression models and presented as odds ratio (OR) and profile likelihood 95% confidence interval (CI) values. The likelihood-ratio test was also performed. A two-tailed P value of less than .05 was considered significant. All analysis was done in the SAS software package (version 8.2). Results: Of the 149 subjects, 66 (44.3%) reported episodes of pain in the throwing elbow during the season. 1. Analysis for pitch count per day Univariate analysis showed that elbow pain was significantly associated with more than 50 pitches per day. Multivariate analysis showed that more than 50 pitches per day (OR, 2.44; 95% CI, 1.22-4.94), and more than 70 games per year (OR, 2.47; 95% CI, 1.24-5.02) were risk factors significantly associated with elbow pain. Age and number of training days per week were not significantly associated with elbow pain. 1. Analysis for pitch count per week Univariate analysis showed that elbow pain was significantly associated with more than 200 pitches per week. Multivariate analysis showed that more than 200 pitches per week (OR, 2.04; 95% CI, 1.03-4.10), and more than 70 games per year (OR, 2.41; 95% CI, 1.22-4.87) were risk factors significantly associated with elbow pain. Age was not significantly associated with elbow pain. Conclusion: A total of 44.3% of youth baseball pitchers had elbow pain during the season. Multivariable logistic regression revealed that elbow pain was associated with more than 50 pitches per day, more than 200 pitches per week, and more than 70 games per year. Previous studies have revealed the risk factor with the strongest association to injury is pitcher. Our data suggest that compliance with pitch limit recommendations including limits of 50 pitches per day and 200 pitches per week may be protective against elbow injuries. Those who played more than 70 games per year had a notably increased risk of injury. With increasing demand on youth pitchers to play more, there is less time for repair of bony and soft tissues in the elbow. In conclusion, among youth pitchers, limits of 50 pitches per day, 200 pitches per week, and limits of 70 games per year may protect elbow injuries.

The Impact of Transitions of Care Pharmacist Services and Identification of Risk Predictors in Heart Failure Readmission

2019 ◽  
pp. 089719001988417 ◽  
Author(s):  
Marci Wood ◽  
Tracey Sweeney ◽  
Molly Trayah ◽  
Maria Civalier ◽  
Wesley McMillian
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Angiotensin Receptor Blockers ◽  
Significant Risk ◽  
Retrospective Chart Review ◽  
Transitions Of Care ◽  
Converting Enzyme Inhibitors ◽  
Increased Risk ◽  
Risk Predictors ◽  
The Impact

Background: Heart failure (HF) is a prevalent and costly disease state for adult Americans, with 30-day readmissions rates for patients with HF utilized to limit hospital compensation. Objective: To determine the impact of the transitions of care (TOC) service at our institution on 30-day all-cause and HF readmissions and identify predictive risk factors for 30-day all-cause readmission. Methods: Retrospective chart review of patients aged 18 years and older admitted with HF and all subsequent readmissions between October 1, 2015, and September 30, 2017. A weighted logistic regression model was developed to determine risk factors for 30-day all-cause readmission. Results: There were no significant differences in all-cause or HF readmission rates analyzed by TOC service involvement. Significant risk predictors for 30-day all-cause readmission included discharge to a rehabilitation facility (odds ratio [OR] = 9.3) or home with home health (OR = 1.6) versus home with self-care. Comorbidities associated with an increased risk of 30-day all-cause readmission included diabetes, coronary artery disease, and aortic stenosis. Use of angiotensin-converting enzyme inhibitors, angiotensin-receptor blockers, and spironolactone was associated with decreased risk of 30-day all-cause readmission. Conclusion: Identified predictors in the patient population with HF at our institution may be used to target patients at increased risk of all-cause readmission within 30 days.

Risk Factors for Inpatient Mortality in Patients Born with Gastroschisis in the United States

2019 ◽  
Vol 38 (01) ◽  
pp. 060-064 ◽  
Author(s):  
Abdulraouf Lamoshi ◽  
David H. Rothstein
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Health Insurance ◽  
Diagnosis Related Groups ◽  
Univariate Analysis ◽  
The United States ◽  
Illness Severity ◽  
Inpatient Mortality ◽  
Multivariable Logistic Regression ◽  
Increased Risk

Abstract Objective This study aimed to characterize risk factors for inpatient mortality in patients born with gastroschisis in a contemporary cohort. Study Design This was a retrospective cohort study of infants born with gastroschisis using the Kids' Inpatient Database 2016. Simple descriptive statistics were used to characterize the patients by demographics, and illness severity was estimated using the All-Patient Refined Diagnosis-Related Groups classification. Variables associated with an increased risk of mortality on univariate analysis were incorporated into a multivariable logistic regression model to generate adjusted odds ratios (aORs) for mortality. Results An estimated 1,990 patient with gastroschisis were born in 2016, with a 3.7% mortality rate during the initial hospitalization. Multivariable logistic regression demonstrated the following variables to be associated with an increased risk of inpatient mortality: black or Asian race compared with white (aOR: 2.6, 95% confidence interval [CI]: 1.1–6.1, p = 0.03 and aOR: 4.1, 95% CI: 1.3–13.3, p = 0.02, respectively), whereas private health insurance compared with government (aOR: 0.2; 95% CI: 0.2–0.8; p = 0.007) and exurban domicile compared with urban (aOR: 0.5; 95% CI: 0.2–0.9; p = 0.04) appeared to be associated with a decreased risk of inpatient mortality. Conclusion Inpatient mortality for neonates with gastroschisis is relatively low. Even after correcting for illness severity, race, health insurance status, and domicile appear to play a role in mortality disparities. Opportunities may exist to further decrease mortality in at-risk populations.

scholarly journals How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis

2020 ◽  
Author(s):  
Peter J Gates ◽  
Rae-Anne Hardie ◽  
Magdalena Z Raban ◽  
Ling Li ◽  
Johanna I Westbrook
Keyword(s):  
Systematic Review ◽  
Medication Error ◽  
Medication Errors ◽  
Meta Analysis ◽  
Error Rates ◽  
Prescribing Error ◽  
Before And After ◽  
Actual Harm ◽  
Computer Based ◽  
Wide Scale

Abstract Objective To conduct a systematic review and meta-analysis to assess: 1) changes in medication error rates and associated patient harm following electronic medication system (EMS) implementation; and 2) evidence of system-related medication errors facilitated by the use of an EMS. Materials and Methods We searched Medline, Scopus, Embase, and CINAHL for studies published between January 2005 and March 2019, comparing medication errors rates with or without assessments of related harm (actual or potential) before and after EMS implementation. EMS was defined as a computer-based system enabling the prescribing, supply, and/or administration of medicines. Study quality was assessed. Results There was substantial heterogeneity in outcomes of the 18 included studies. Only 2 were strong quality. Meta-analysis of 5 studies reporting change in actual harm post-EMS showed no reduced risk (RR: 1.22, 95% CI: 0.18–8.38, P = .8) and meta-analysis of 3 studies reporting change in administration errors found a significant reduction in error rates (RR: 0.77, 95% CI: 0.72–0.83, P = .004). Of 10 studies of prescribing error rates, 9 reported a reduction but variable denominators precluded meta-analysis. Twelve studies provided specific examples of system-related medication errors; 5 quantified their occurrence. Discussion and Conclusion Despite the wide-scale adoption of EMS in hospitals around the world, the quality of evidence about their effectiveness in medication error and associated harm reduction is variable. Some confidence can be placed in the ability of systems to reduce prescribing error rates. However, much is still unknown about mechanisms which may be most effective in improving medication safety and design features which facilitate new error risks.

scholarly journals Altitude and risk of sudden unexpected infant death in the United States

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Richard Johnston ◽  
Xiaohan Yan ◽  
Tatiana M. Anderson ◽  
Edwin A. Mitchell
Keyword(s):  
United States ◽  
Logistic Regression ◽  
Infant Death ◽  
The United States ◽  
Sudden Infant ◽  
Data Set ◽  
Live Births ◽  
Sudden Unexpected Infant Death ◽  
Increased Risk ◽  
Unexpected Infant Death

AbstractThe effect of altitude on the risk of sudden infant death syndrome (SIDS) has been reported previously, but with conflicting findings. We aimed to examine whether the risk of sudden unexpected infant death (SUID) varies with altitude in the United States. Data from the Centers for Disease Control and Prevention (CDC)’s Cohort Linked Birth/Infant Death Data Set for births between 2005 and 2010 were examined. County of birth was used to estimate altitude. Logistic regression and Generalized Additive Model (GAM) were used, adjusting for year, mother’s race, Hispanic origin, marital status, age, education and smoking, father’s age and race, number of prenatal visits, plurality, live birth order, and infant’s sex, birthweight and gestation. There were 25,305,778 live births over the 6-year study period. The total number of deaths from SUID in this period were 23,673 (rate = 0.94/1000 live births). In the logistic regression model there was a small, but statistically significant, increased risk of SUID associated with birth at > 8000 feet compared with < 6000 feet (aOR = 1.93; 95% CI 1.00–3.71). The GAM showed a similar increased risk over 8000 feet, but this was not statistically significant. Only 9245 (0.037%) of mothers gave birth at > 8000 feet during the study period and 10 deaths (0.042%) were attributed to SUID. The number of SUID deaths at this altitude in the United States is very small (10 deaths in 6 years).

Risk factors and outcomes of postoperative emergency response team activation: a matched case-control study

2020 ◽  
Vol 22 (1) ◽  
pp. 6-14
Author(s):  
Matthew I Hardman ◽  
◽  
S Chandralekha Kruthiventi ◽  
Michelle R Schmugge ◽  
Alexandre N Cavalcante ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Postoperative Complications ◽  
Emergency Response ◽  
Case Control Study ◽  
Case Control ◽  
Multiple Logistic Regression ◽  
Increased Risk ◽  
Response Team ◽  
Control Study

OBJECTIVE: To determine patient and perioperative characteristics associated with unexpected postoperative clinical deterioration as determined for the need of a postoperative emergency response team (ERT) activation. DESIGN: Retrospective case–control study. SETTING: Tertiary academic hospital. PARTICIPANTS: Patients who underwent general anaesthesia discharged to regular wards between 1 January 2013 and 31 December 2015 and required ERT activation within 48 postoperative hours. Controls were matched based on age, sex and procedure. MAIN OUTCOME MEASURES: Baseline patient and perioperative characteristics were abstracted to develop a multiple logistic regression model to assess for potential associations for increased risk for postoperative ERT. RESULTS: Among 105 345 patients, 797 had ERT calls, with a rate of 7.6 (95% CI, 7.1–8.1) calls per 1000 anaesthetics (0.76%). Multiple logistic regression analysis showed the following risk factors for postoperative ERT: cardiovascular disease (odds ratio [OR], 1.61; 95% CI, 1.18–2.18), neurological disease (OR, 1.57; 95% CI, 1.11–2.22), preoperative gabapentin (OR, 1.60; 95% CI, 1.17–2.20), longer surgical duration (OR, 1.06; 95% CI, 1.02–1.11, per 30 min), emergency procedure (OR, 1.54; 95% CI, 1.09–2.18), and intraoperative use of colloids (OR, 1.50; 95% CI, 1.17–1.92). Compared with control participants, ERT patients had a longer hospital stay, a higher rate of admissions to critical care (55.5%), increased postoperative complications, and a higher 30-day mortality rate (OR, 3.36; 95% CI, 1.73–6.54). CONCLUSION: We identified several patient and procedural characteristics associated with increased likelihood of postoperative ERT activation. ERT intervention is a marker for increased rates of postoperative complications and death.

scholarly journals Medication Error in Anaesthesia – A Review

2016 ◽  
Vol 27 (1) ◽  
pp. 31-35
Author(s):  
Montosh Kumar Mondal ◽  
Beauty Rani Roy ◽  
Shibani Banik ◽  
Debabrata Banik
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Medication Error ◽  
Medication Errors ◽  
Health Problem ◽  
Preventive Measures ◽  
Medical Profession ◽  
Public Health Problem ◽  
Global Public Health ◽  
Global Public Health Problem

Medication error is a major cause of morbidity and mortality in medical profession . There is an increasing recognition that medication errors are causing a substantial global public health problem, as many result in harm to patients and increased costs to health providers.Anaesthesia is now safe and routine, yet anaesthetists are not immune from making medication errors and the consequences of their mistakes may be more serious than those of doctors in other specialties. Steps are being taken to determine the extent of the problem of medication error in anaesthesia. In this review, incidence, types, risk factors and preventive measures of the medication errors are discussed in detail.Journal of Bangladesh Society of Anaesthesiologists 2014; 27(1): 31-35

Preoperative Risk Factors for Complications in Elective Ankle and Hindfoot Reconstruction

2017 ◽  
Vol 11 (1) ◽  
pp. 54-60 ◽  
Author(s):  
Ryan P. Mulligan ◽  
Kevin J. McCarthy ◽  
Benjamin J. Grear ◽  
David R. Richardson ◽  
Susan N. Ishikawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Retrospective Chart Review ◽  
Reoperation Rate ◽  
Deep Infection ◽  
Foot And Ankle ◽  
Psychological Variables ◽  
Reconstruction Methods ◽  
Increased Risk ◽  
Retrospective Comparative Study ◽  
Alcohol Users

Background. The purpose of this study was to examine medical, social, and psychological factors associated with complications and reoperation after foot and ankle reconstruction. Methods. A retrospective chart review was conducted of 132 patients (135 feet; 139 operative cases) who had elective foot and ankle reconstruction. Medical, social, and psychological variables were documented. Primary outcomes included complications and reoperations. Results. The overall complication rate was 28% (39/139), and the reoperation rate was 17% (24/139). Alcohol use (P = .03) and preoperative narcotic use (P = .02) were risk factors for complications, with delayed wound healing more frequent in alcohol users (P = .03) and deep infection (P = .045) and nonunion (P = .046) more frequent preoperative narcotic use. Deep infection also was more frequent in tobacco users (P < .01). Older patients were less likely to undergo reoperation (risk of reoperation increased with age). Other variables were not associated with increased complications. Conclusion. Patients who consumed alcohol or had been prescribed any amount of narcotic within 3 months preoperatively were at increased risk for complications. Patients who smoked were more likely to have a wound infection. Surgeons should be aware of these factors and counsel patients before surgery. Levels of Evidence: Level III: Retrospective comparative study

scholarly journals An Observational Cohort Study ofClostridium difficileRibotype 027 and Recurrent Infection

mSphere ◽  
2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Krishna Rao ◽  
Peter D. R. Higgins ◽  
Vincent B. Young
Keyword(s):  
Logistic Regression ◽  
Independent Predictor ◽  
The United States ◽  
Public Health Issue ◽  
Clinical Microbiology Laboratory ◽  
Clinical Predictors ◽  
Content Type ◽  
Ribotype 027 ◽  
Increased Risk ◽  
Wide Range

ABSTRACTRecurrentClostridium difficileinfection (rCDI) frequently complicates recovery from CDI. Accurately predicting rCDI would allow judicious allocation of limited resources, but published models have met with limited success. Thus, biomarkers predictive of recurrence have been sought. This study tested whether PCR ribotype independently predicted rCDI. Stool samples from nonpregnant inpatients ≥18 years of age with diarrhea were included from October 2010 to January 2013 after the patients tested positive forC. difficilein the clinical microbiology laboratory. Per guidelines, the rCDI was defined as a positive test forC. difficileat >2 weeks but ≤8 weeks from the index episode. For each sample, a single colony ofC. difficilewas isolated by anaerobic culture, confirmed to be toxigenic by PCR, and ribotyped. Simple logistic regression and multiple logistic regression were used to model the primary outcome of rCDI, incorporating a wide range of clinical parameters. In total, 927 patients with 968 index episodes of CDI were included, with 110 (11.4%) developing rCDI. Age and use of proton pump inhibitors or concurrent antibiotics did not increase the risk of rCDI. Low serum bilirubin levels and ribotype 027 were associated with increased risk of rCDI on unadjusted analysis, with health care-associated CDI being inversely associated. In the final multivariable model, ribotype 027 was the strongest independent predictor of rCDI (odds ratio, 2.17; 95% confidence interval, 1.33 to 3.56;P= 0.002). Ribotype 027 is an independent predictor of rCDI.IMPORTANCECDI is a major public health issue, with over 400,000 cases per year in the United States alone. Recurrent CDI is common, occurring in approximately one in five individuals after a primary episode. Although interventions exist that could reduce the risk of recurrence, deployment in all patients is limited by cost, invasiveness, and/or an undetermined long-term safety profile. Thus, clinicians need risk stratification tools to properly allocate treatments. Because prior research on clinical predictors has failed to yield a reliable, reproducible, and effective predictive model to assist treatment decisions, accurate biomarkers of recurrence would be of great value. This study tested whether PCR ribotype independently predicted rCDI, and the data build upon prior research in showing that ribotype 027 is associated with rCDI.

scholarly journals Identification and Prevention of Antiepileptic Drug Noncompliance: The Collaborative Use of State-Supplied Pharmaceutical Data

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Joseph C. Hodges ◽  
Janet Treadwell ◽  
Amy D. Malphrus ◽  
Xuan G. Tran ◽  
Angelo P. Giardino
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Medication Compliance ◽  
Statistical Significance ◽  
Seizure Disorder ◽  
Secondary Diagnosis ◽  
Careful Monitoring ◽  
Multivariate Statistical ◽  
Increased Risk ◽  
Epileptic Patients

Background. Antiepileptic drugs (AEDs) noncompliance is associated with increased risk of seizures and morbidity in seizure disorder patients. Objective. To identify risk factors that correlated to higher levels of morbidity, measured by emergency room (ER) utilization by seizure disorder members taking AED. Methods. Patients with primary or secondary diagnosis of seizures, convulsions, and/or epilepsy and prescribed AEDs during an 11-month period were included in the study. Variables were analyzed using multivariate statistical analysis including logistic regression. Results. The study identified 201 members. No statistical significance (NS) between age, gender, number of tablets, type of drug, or other risk factors was associated with increased mortality. Statistical significance resulted with medication compliance review of 0–14 days, 15–60 days, and 61+ days between refills. 68% of patients with ER visit had noncompliance refill between 0 and 14 days compared to 52% of patients in non-ER group (P=0.04). Contrastingly, 15% of ER group had refills within 15–60 days compared with 33% of non-ER group (P=0.01). There was NS difference between two groups when noncompliance was greater than 60 days (P=0.66). Conclusions. The study suggests that careful monitoring of pharmaceutical refill information could be used to identify AED noncompliance in epileptic patients.

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