Factors associated with nicotine replacement therapy use among hospitalised smokers.

INTRODUCTION AND AIMS: Nicotine replacement therapy (NRT) is recommended as a smoking cessation aid for hospitalised smokers. We examined factors associated with NRT use during hospitalisation and after discharge, and NRT uptake when systematically offered free of cost. DESIGN AND METHODS: A nested analysis was conducted using data from a clinical trial that evaluated the effectiveness of a pharmacist-led smoking cessation intervention in 600 hospitalised smokers. RESULTS: NRT was used at least once by 285 (48%) participants during hospitalisation and by 287 (48%) participants during the 12 months post-discharge. Heavy smokers and those who expressed interest in using NRT for their next quit attempt at baseline interview were more likely to use NRT during hospitalisation [odds ratio (OR) 1.94, 95% confidence interval (CI) 1.38, 2.74; OR 2.09, 95% CI 1.48, 2.95] and after discharge (OR 1.70, 95% CI 1.20, 2.41; OR 1.97, 95% CI 1.39, 2.79). Those using six or more medications were more likely to use NRT during hospitalisation (OR 1.65, 95% CI 1.05, 2.61). Post-discharge NRT users were more likely to have been initially admitted for a respiratory or cardiac problem (OR 1.51, 95% CI 1.05, 2.18). When NRT was offered free of cost to a subset of patients (n = 300), 157 (52%) used NRT during hospitalisation. Nicotine dependence and interest in using NRT predicted its use (OR 2.26, 95% CI 1.38, 3.70; OR 2.58, 95% CI 1.58, 4.20). DISCUSSION AND CONCLUSIONS: Targeting heavy smokers, those with cardio-respiratory conditions and those interested in using NRT regardless of regimen complexity could improve NRT uptake.

Comparing the accuracy of medication order verification between pharmacists and a tech check tech model: A prospective randomised observational study.

BACKGROUND: Medication errors have the potential to cause significant harm and the final verification of dispensed medications is essential to patient safety. There is international evidence to demonstrate that trained pharmacy technicians can safely and accurately undertake the verification of medication orders in ward-based unit dose containers. There is a need for evaluation of pharmacy technician verification of medication orders in broader contexts including the hospital inpatient dispensary. AIM: To compare the accuracy of Accuracy Checking Pharmacy Assistants (ACPTs) to pharmacists when verifying inpatient medication orders within the hospital pharmacy setting. METHOD: This 'real world' single-blinded study was conducted in the inpatient dispensary of a major tertiary hospital in Melbourne, Australia. Inpatient medication orders were randomly allocated to an ACPT or pharmacist for final verification, before being reviewed for accuracy by an independent research pharmacist blinded to study allocation. Errors identified by the reviewing pharmacist were documented and severity was assessed by an independent Medication Safety pharmacist. RESULTS: Between February and August 2014, three ACPTs verified 4718 items with 75 errors missed (1.59%), and twelve pharmacists verified 4194 items with 158 errors missed (3.77%). There was a statistically significant difference between both total and minor error rates, with pharmacists missing significantly more errors (total errors: p < 0.0001; minor errors: 1.42 vs 3.53%; p < 0.0001). There was no statistically significant difference in the rate of major errors missed by the two groups (0.17 vs 0.24%; p = 0.48). CONCLUSION: This study is the first of its kind in the hospital dispensary setting, demonstrating that the overall accuracy of ACPTs was greater than pharmacists for verifying dispensed medication orders. ACPTs missed fewer minor and overall errors than pharmacists, indicating that trained pharmacy technicians can verify medication orders safely and accurately. This study provides support for the tech-check-tech model in the hospital setting.

Evaluation of NovoRapid infusion as a treatment option in the management of diabetic ketoacidosis.

This study evaluates the clinical efficacy and safety of NovoRapid (insulin aspart) compared to Actrapid™ (human neutral insulin) for diabetic ketoacidosis (DKA). In this retrospective study involving 40 patients, no statistically significant differences were observed between biochemical variables, infusion duration or complications in patients treated with insulin aspart or human neutral insulin. These results support the use of insulin aspart as an effective and safe alternative to human neutral insulin in DKA.

Medication Use and Fall-Related Hospital Admissions from Long-Term Care Facilities: A Hospital-Based Case-Control Study.

BACKGROUND: Falls are a leading cause of preventable hospitalizations from long-term care facilities (LTCFs). Polypharmacy and falls-risk medications are potentially modifiable risk factors for falling. OBJECTIVE: This study investigated whether polypharmacy and falls-risk medications are associated with fall-related hospital admissions from LTCFs compared with hospital admissions for other causes. METHODS: This was a hospital-based, case-control study of patients aged ≥65 years hospitalized from LTCFs. Cases were patients with falls and fall-related injuries, and controls were patients admitted for infections. Conditional logistic regression was used to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between polypharmacy (defined as the use of nine or more regular pre-admission medications) and falls-risk medications (categorized as psychotropic medications and those that can cause orthostatic hypotension) with fall-related hospital admissions. RESULTS: There was no association between polypharmacy and fall-related hospital admissions (adjusted OR 0.97, 95% CI 0.63-1.48); however, the adjusted odds of fall-related hospital admissions increased by 16% (95% CI 3-30%) for each additional falls-risk medication. Medications that can cause orthostatic hypotension (adjusted OR 1.25, 95% CI 1.06-1.46), but not psychotropic falls-risk medications (adjusted OR 1.02, 95% CI 0.88-1.18) were associated with fall-related hospital admissions. The association between medications that can cause orthostatic hypotension and fall-related hospital admissions was strongest among residents with polypharmacy (adjusted OR 1.44, 95% CI 1.08-1.92). CONCLUSION: Polypharmacy was not an independent risk factor for fall-related hospital admissions; however, medications that can cause orthostatic hypotension were associated with fall-related hospital admissions, particularly among residents with polypharmacy. Falls-risk should be considered when prescribing medications that can cause orthostatic hypotension.

Variability of intravenous medication preparation in Australian and New Zealand intensive care units.

RATIONALE, AIM AND OBJECTIVE: In Australia and New Zealand, there are no established standards for the final presentations of prepared intravenous medications in Intensive Care Units (ICUs). Variability has the potential to contribute to deficiencies in safety, efficiency and cost effectiveness. This study aimed to examine the variability in the preparation of intravenous medications in ICUs. METHODS: An electronic survey was distributed to critical care pharmacists in Australia and New Zealand via an established email group. The preparation of vasopressors, inotropes, sedation, analgesia, heparin, insulin and neuromuscular blockers were examined. Respondents were asked about initial presentation, final concentration prepared, who prepared and current safety practices used. Questions also addressed opinions and attitudes to safety practices and responsibility for leading change. RESULTS: Forty responses to the survey were received, representing 17% of ICUs in Australia and New Zealand. Significant variation in final concentration was observed for all infusions except insulin and esmolol. The final volumes varied significantly for all drugs. The majority of infusions were prepared by nursing staff with only a small number of pre-prepared presentations currently in use. Labelling was usually hand-written with some colour-coding. Most respondents identified safety and efficiency but not cost effectiveness as likely to be improved by the use of pre-prepared infusions. Most respondents felt 'government' or peak clinical bodies should lead practice standardization. CONCLUSION: Significant variation exists in the preparation of intravenous medications across ICUs in Australia and New Zealand. Nationally or regionally coordinated rationalization and standardization could improve safety and efficiency and potentially reduce the barrier of cost.

Development and validation of a 21-item challenges to stopping smoking (CSS-21) scale.

OBJECTIVE: Identification of challenges associated with quitting and overcoming them may improve cessation outcomes. This study describes the development and initial validation of a scale for measuring challenges to stopping smoking. METHODS: The item pool was generated from empirical and theoretical literature and existing scales, expert opinion and interviews with smokers and ex-smokers. The questionnaire was administered to smokers and recent quitters who participated in a hospital-based smoking cessation trial. Exploratory factor analysis was performed to identify subscales in the questionnaire. Internal consistency, validity and robustness of the subscales were evaluated. RESULTS: Of a total of 182 participants with a mean age of 55 years (SD 12.8), 128 (70.3%) were current smokers and 54 (29.7%) ex-smokers. Factor analysis of the 21-item questionnaire resulted in a 2-factor solution representing items measuring intrinsic (9 items) and extrinsic (12 items) challenges. This structure was stable in various analyses and the 2 factors accounted for 50.7% of the total variance of the polychoric correlations between the items. Internal consistency (Cronbach's α) coefficients for the intrinsic and extrinsic subscales were 0.86 and 0.82, respectively. Compared with ex-smokers, current smokers had a higher mean score (± SD) for intrinsic (24.0 ± 6.4 vs 20.5 ± 7.4, p=0.002) and extrinsic subscales (22.3 ± 7.5 vs 18.6 ± 6.0, p=0.001). CONCLUSIONS: Initial evaluation suggests that the 21-item challenges to stopping smoking scale is a valid and reliable instrument that can be used in research and clinical settings to assess challenges to stopping smoking.

Implementation of hospital-wide reform at improving access and flow: Impact on time to antibiotics in the emergency department.

INTRODUCTION: ED overcrowding has been associated with increased mortality, morbidity and delays to essential treatment. It was hypothesised that hospital-wide reforms designed to improve patient access and flow, in addition to improving ED overcrowding, would impact on clinically important processes within the ED, such as timely delivery of antibiotics. METHODS: A single pre-implementation and post-implementation prospective cohort study was conducted prior to and after a hospital-wide reform (Timely Quality Care (TQC)). Among patients who had intravenous antibiotics prescribed in the ED, data were prospectively collected on times of presentation, prescription and administration of antibiotics. Demographics and discharge diagnoses were retrospectively extracted. RESULTS: There were 380 cases included with 179 cases prior to introduction of the TQC model and 201 cases after its introduction. Time from presentation to administration of antibiotics improved significantly from 192 (99-320) min to 142 (81-209) min (P < 0.01). The time from presentation to prescription pre-TQC and post-TQC was 120 (51-230) min and 92 (49-153) min, respectively (P < 0.01). The times from prescription to administration pre-TQC and post-TQC were 43 (20-83) min and 34 (15-66) min, respectively (P = 0.03). CONCLUSION: Following implementation of hospital-wide reform directed at mitigating ED overcrowding through improved access and flow, times to administration of antibiotics were significantly reduced. These findings suggest that improved quality of care in this area may be achieved with processes aimed at improved hospital access and flow. Ongoing evaluation and vigilance is necessary to ensure sustainability and drive further improvements.

Quitting experiences and preferences for a future quit attempt: a study among inpatient smokers.

OBJECTIVE: Understanding smokers' quit experiences and their preferences for a future quit attempt may aid in the development of effective cessation treatments. The aims of this study were to measure tobacco use behaviour; previous quit attempts and outcomes; methods used to assist quitting; difficulties experienced during previous attempts; the motives and preferred methods to assist quitting in a future attempt; identify the factors associated with preferences for smoking cessation. DESIGN: Face-to-face interview using a structured questionnaire. SETTING: Inpatient wards of three Australian public hospitals. PARTICIPANTS: Hospitalised smokers enrolled in a smoking cessation trial. RESULTS: Of 600 enrolled patients (42.8% participation rate), 64.3% (n=386) had attempted quitting in the previous 12 months. On a scale of 1 (low) to 10 (high), current motivation to quit smoking was high (median 9; IQR 6.5-10), but confidence was modest (median 5; IQR 3-8). Among 386 participants who reported past quit attempts, 69.9% (n=270) had used at least one cessation aid to assist quitting. Nicotine replacement therapy (NRT) was most commonly stated (222, 57.5%), although the majority had used NRT for <4 weeks. Hypnotherapy was the most common (68, 17.6%) non-pharmacological treatment. Over 80% (n=311) experienced withdrawal symptoms; craving and irritability were commonly reported. Most participants (351, 58.5%) believed medications, especially NRT (322, 53.7%), would assist them to quit in the future. History of previous smoking cessation medication use was the only independent predictor of interest in using medications for a future quit attempt. CONCLUSIONS: The majority of smokers had attempted quitting in the previous 12 months; NRT was a popular cessation treatment, although it was not used as recommended by most. This suggests a need for assistance in the selection and optimal use of cessation aids for hospitalised smokers. TRIAL REGISTRATION NUMBER: Australian and New Zealand Clinical Trials Registry: ACTRN12612000368831.

A systematic review of medication exposure assessment in prospective cohort studies of community dwelling older australians.

INTRODUCTION: It is not known to what extent medication use has been comprehensively assessed in prospective cohort studies of older Australians. Understanding the varying methods to assess medication use is necessary to establish comparability and to understand the opportunities for pharmacoepidemiological analysis. The objective of this review was to compare and contrast how medication-related data have been collected in prospective cohorts of community-dwelling older Australians. METHODS: MEDLINE and EMBASE (1990-2014) were systematically searched to identify prospective cohorts of ≥1000 older participants that commenced recruitment after 1990. The data collection tools used to assess medication use in each cohort were independently examined by two investigators using a structured approach. RESULTS: Thirteen eligible cohorts were included. Baseline medication use was assessed in participant self-completed surveys (n = 3), by an investigator inspecting medications brought to a clinic interview (n = 7), and by interviewing participants in their home (n = 3). Five cohorts sought participant consent to access administrative claims data. Six cohorts used multiple methods to assess medication use across one or more study waves. All cohorts assessed medication use at baseline and 12 cohorts in follow-up waves. Twelve cohorts recorded prescription medications by trade or generic name; 12 cohorts recorded medication strength; and 9 recorded the daily medication dose in at least one wave of the cohort. Seven cohorts asked participants about their "current" medication use without providing a definition of "current"; and nine cohorts asked participants to report medication use over recall periods ranging from 1-week to 3-months in at least one wave of the cohort. Sixty-five original publications, that reported the prevalence or outcomes of medication use, in the 13 cohorts were identified (median = 3, range 1-21). CONCLUSION: There has been considerable variability in the assessment of medication use within and between cohorts. This may limit the comparability of medication data collected in these cohorts.

Reducing potentially fatal errors associated with high doses of insulin: a successful multifaceted multidisciplinary prevention strategy.

BACKGROUND: Insulin is a high-risk medicine which may cause significant patient harm or death when given incorrectly. A 10-fold error in administered insulin dose commonly occurs when the abbreviation 'u' is used for 'units' and subsequently misinterpreted as a 'zero.' METHOD: A multidisciplinary working party was convened and mapped insulin prescribing, dispensing and administration. All inpatient orders above 25 units for short-acting insulin and 50 units for other insulin require validation by an additional source. Educational strategies to support adherence to the guideline and product-labelling alerts were developed. RESULTS: Implementation occurred in August 2008 across the three hospital sites. In 90 weeks after implementation, there were 150 patients identified in which 200 high doses of insulin were prescribed (>25 units for short-acting insulin and 50 units for other insulin). There were eight instances where high doses of insulin were prescribed in error but were detected and rectified through the new validation process. There were 12 dosing errors that occurred, including two 10-fold dosing errors. In contrast, seven major errors resulting in excessive insulin administration were identified over a 2-year period prior to the introduction of the insulin high-dose validation system. CONCLUSION: A structured validation process was successful in reducing incorrect prescription and administration of high-dose insulin and has reduced the risk of associated fatalities or significant patient harm. Consideration should be given to adopting this process in any setting where insulin is prescribed and administered.

A standard weight descriptor for dose adjustment in the obese patient.

OBJECTIVE: To develop a standard weight descriptor that can be used for estimation of patient size for obese patients. PATIENTS AND METHODS: Data were available from 3849 patients: 2839 from oncology patients (index data set) and 1010 from general medical patients (validation data set). The patients had a wide range of age (16-100 years), weight (25-165 kg) and body mass index (BMI) [12-52 kg/m2] in both data sets. From the normal-weight patients in the oncology data set, an equation for male and female patients was developed to predict their normal weight as the sum of the lean body mass and normal fat body mass. The equations were evaluated by predicting the weight of patients in the general medical data set who had a normal BMI (<25 kg/m2). In addition, the clinical utility of the predicted normal weight (PNWT) descriptor was assessed by (i) comparing body surface area and allometric scaling calculations based on actual weight of obese patients versus PNWT; and (ii) comparing the predictive performance of creatinine clearance using the Cockcroft and Gault equation when using actual weight of obese patients versus PNWT to predict gentamicin clearance. RESULTS: The PNWT equations developed from the oncology data set predicted accurately the actual weight of normal weighted (BMI <25 kg/m2) general medical patients (R2 = 0.968 men, R2 = 0.946 women). Using actual weight when computing body surface area and when allometric scaling for obese patients results in significant overestimation of patient size, especially for female patients and those with BMIs >35 kg/m2. The use of PNWT in the Cockcroft and Gault equation provided better predictions of gentamicin clearance than when using actual weight. CONCLUSIONS: A standard weight descriptor has been developed that can be used in dosing algorithms for patients who are obese (BMI >30 kg/m2).

Off-label prescribing in oncology.

Off-label prescribing occurs when a practitioner prescribes a drug for a use, or in a manner, not listed in the 'approved product information' (API) for that drug. The literature suggests that this is a frequent occurrence in many areas of medicine, but data are limited in the hospitalized oncology setting. The aim of this study was to quantify the extent of off-label prescribing in a hospitalized oncology population in Australia. The study was conducted at Peter MacCallum Cancer Centre, Australia. On a single day the medication charts of all hospitalized patients were prospectively reviewed. Drug prescribing was assessed for licensing status by comparison with the API as approved by the Therapeutic Goods Administration of Australia. Prescriptions were classified as licensed, off-label or unlicensed. Medication charts of 130 patients were assessed. There were 1351 prescriptions. In 293 (22%) of the prescriptions the drug was either off-label (242, 18%) or unlicensed (51, 4%). Among the 130 patients, 110 (85%) received at least one drug that was prescribed off-label or that was unlicensed. Off-label dosing was the most frequent reason for a drug being off-label (139, 10% of all prescriptions). Off-label due to use for an unapproved indication was found in 118 prescriptions (9%), and off-label due to an unapproved route of administration was found in 38 prescriptions (3%). Off-label prescribing is widespread in the acute hospitalized oncology population, with approximately 22% of all prescriptions being for off-label or unlicensed medication. Such prescribing affects a significant proportion of patients.