Implementation of Partnered Pharmacist Medication Charting in haematology and oncology inpatients.

AIM: Partnered Pharmacist Medication Charting (PPMC) in patients admitted under general medical units has been shown to reduce medication errors. The aim of this study is to evaluate the impact of the PPMC model on medication errors in patients admitted under cancer units in Victorian hospitals. METHODS: A prospective cohort study comparing cohorts before and after the introduction of PPMC was conducted. This included a 2-month pre-intervention phase and 3-month intervention phase. PPMC was implemented during the intervention phase as new model of care that enabled credentialed pharmacists to chart all admission medications, including pre-admission or new medications and cancer therapies, in collaboration with the admitting medical officer. The proportion of medication charts with at least one error was the primary outcome measure. RESULTS: Seven health services across Victoria were included in the study. The majority of health services were using paper-based prescribing systems for oncology. Of the 547 patients who received standard medical medication charting, 331 (60.5%) had at least one medication error identified compared to 18 out of 416 patients (4.3%) using the PPMC model (p < 0.001). The median (interquartile range) inpatient length of stay was 5 (2.9-10.6) days in pre-intervention and 4.9 (2.9-11) days in intervention (p = 0.88). In the intervention arm, 42 patients had cancer therapy charted by a pharmacist with no errors. CONCLUSIONS: PPMC was successfully scaled into cancer units as a collaborative medication safety strategy. The model was associated with significantly lower rates of medication errors, including cancer therapies. PPMC should be adopted more widely in cancer units in Australia.

Therapeutics for Vancomycin-Resistant Enterococcal Bloodstream Infections.

Vancomycin-resistant enterococci (VRE) are common causes of bloodstream infections (BSIs) with high morbidity and mortality rates. They are pathogens of global concern with a limited treatment pipeline. Significant challenges exist in the management of VRE BSI, including drug dosing, the emergence of resistance, and the optimal treatment for persistent bacteremia and infective endocarditis. Therapeutic drug monitoring (TDM) for antimicrobial therapy is evolving for VRE-active agents; however, there are significant gaps in the literature for predicting antimicrobial efficacy for VRE BSIs. To date, TDM has the greatest evidence for predicting drug toxicity for the three main VRE-active antimicrobial agents daptomycin, linezolid, and teicoplanin. This article presents an overview of the treatment options for VRE BSIs, the role of antimicrobial dose optimization through TDM in supporting clinical infection management, and challenges and perspectives for the future.

The impact of daptomycin therapeutic drug monitoring on clinical outcomes: a systematic review.

AIM: Daptomycin therapeutic drug monitoring (TDM) is a potentially valuable intervention for a relatively new drug. The aim of this study was to determine whether daptomycin TDM, including dose adjustment where necessary, improves the clinical outcomes of adult patients with Gram-positive infections. METHODS: A systematic review of English-language studies in MEDLINE (Ovid MEDLINE and Epub Ahead of Print, In-process, In-Data-Review & Other Non-Indexed Citations, Daily and Versions), EMBASE via OVID, Cochrane Central Register of Controlled Trials via the OVID platform, Scopus and Web of Science online databases was performed and conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. There was no discrimination on study type or time of publication. STUDY SELECTION: Adults (age ≥18 years) with a Gram-positive infection requiring treatment with daptomycin who received TDM, with subsequent reporting of serum concentrations and dose adjustment where necessary, were included. RESULTS: In total, 2869 studies were identified, of which nine met the inclusion criteria. No studies of daptomycin TDM including a relevant control arm have been published to date. All of the included studies were single-arm observational cohort studies. Broad heterogeneity was observed between the studies in terms of included pathogens, infection types, daptomycin TDM practices, reported clinical outcomes, and reporting of potential confounders. CONCLUSIONS: No studies exploring the efficacy of routine daptomycin TDM on patient-centred outcomes in comparison with fixed dosing regimens have been published to date. This represents a key knowledge gap as opposed to an inherent lack of efficacy. Further well-designed, comparative studies are required to determine the role of daptomycin TDM in patients with Gram-positive infections.

Partnered pharmacist medication charting (PPMC) in regional and rural general medical patients.

OBJECTIVE: Errors in hospital medication charts are commonly encountered and have been associated with morbidity and mortality. This study evaluates the impact of the Partnered Pharmacist Medication Charting (PPMC) model on medication errors in general medical patients admitted to rural and regional hospitals. DESIGN/METHOD: A prospective cohort study, comparing before and after the introduction of PPMC was conducted in 13 rural and regional health services. This included a 1-month pre-intervention phase and 3-month intervention phase. In the intervention phase, PPMC was implemented as a new model of care in general medical units. SETTING: Victoria, Australia. PARTICIPANTS: Patients admitted to General Medical Units. OUTCOME MEASURE: The proportion of medication charts with at least one error was the primary outcome measure. Secondary outcome measures included inpatient length of stay (LOS), risk stratification of medication errors, Medical Emergency Team (MET) calls, transfers to ICU and hospital readmission. RESULTS: Of the 669 patients who received standard medical charting during the pre-intervention period, 446 (66.7%) had at least one medication error identified compared to 64 patients (9.5%) using PPMC model (p < 0.001). There were 1361 medication charting errors identified during pre-intervention and 80 in the post-intervention. The median (interquartile range) inpatient length of stay was 4.8 (2.7-10.8) in the pre-intervention and 3.7 days (2.0-7.0) among patients that received PPMC (p < 0.001). CONCLUSION: The PPMC model was successfully scaled across rural and regional Victoria as a medication safety strategy. The model was associated with significantly lower rates of medication errors, lower severity of errors and shorter inpatient length of stay.

Evaluation of medical emergency team medication management practices in acute hospitals: A multicentre study.

BACKGROUND: Medical emergency teams use medications to rescue deteriorating patients. Medication management is the system of steps and processes, including prescribing, distribution, administration, and monitoring, to achieve the best outcomes from medication use. Systems or standards for medication management by medical emergency teams have not been defined. OBJECTIVES: The aim of the study was to propose potential solutions to improve medical emergency team medication management by evaluating medication supply and related medication management practices during medical emergency team activations and understanding clinicians' perceptions about medical emergency team medication management in acute hospitals. METHODS: A prospective multicentre audit of intensive care unit-equipped hospitals in Victoria, Australia, was conducted. After advertisement and invitation via scheduled email newsletters to hospitals, a representative of the medical emergency team from each hospital self-administered an online audit tool during December 2019 and January 2020. Audit data were analysed descriptively, and perceptions were analysed using content analysis. RESULTS: Responses were received from 32 of the 44 (72.7%) eligible hospitals. At 17 of the 32 (53.1%) hospitals, arrest trolleys provided medications for medical emergency team activations, in addition to arrest calls. At 15 of the 32 (46.9%) hospitals, separate, dedicated medical emergency team medication supplies were used to care for deteriorating patients. Dedicated medical emergency team supplies contained a median of 20 (range = 8-37) medications, predominantly cardiovascular (median = 8, mode = 7, range = 4-16) and neurological medications (median and mode = 6, range = 0-11). Variation was observed in all storage and other supply-related medication management practices studied. The four most frequent categories of clinicians' perceptions described systematic challenges with availability of the right medication in the right place at the right time. CONCLUSIONS: Current supply and related medication management practices and clinicians' perceptions demonstrated further development is necessary for medication management to meet the needs of medical emergency team clinicians and their patients.

Early antimicrobial stewardship team intervention on appropriateness of antimicrobial therapy in suspected sepsis: a randomized controlled trial.

OBJECTIVES: There has been concern that the imperative to administer rapid antimicrobials in septic patients may result in inappropriate antimicrobial use. We aimed to determine the impact of early antimicrobial stewardship (AMS) team intervention in patients with Medical Emergency Team (MET) calls for suspected sepsis. METHODS: We performed a randomized controlled trial of non-ICU inpatients who had a MET call for suspected sepsis. Patients were randomized to standard care (management of antimicrobial therapy by the treating team) or early targeted intervention (AMS review 48 h post-MET call). The primary outcome was appropriateness of antimicrobial therapy 72 h post-MET call, as determined by a panel of blinded infectious diseases physicians. RESULTS: In total, 90 patients were enrolled; 45 were randomly allocated to the intervention group, and 45 to the control group. More patients in the AMS intervention group were receiving appropriate antimicrobials 72 h following the MET call (67% versus 44%, P = 0.03). In the intervention group, 27 recommendations were made by the AMS team; 74% of recommendations were accepted, including 30% of cases where antimicrobials were discontinued or de-escalated. There were non-significant differences in total duration of antimicrobial therapy (8.7 versus 10.7 days, P = 0.39), sepsis-related ICU-admission rates (13% versus 18%, P = 0.56) and sepsis-related in-hospital mortality (7% versus 9%, P = 0.71) between intervention and control groups, respectively. CONCLUSIONS: AMS team intervention resulted in significant improvement in appropriateness of antimicrobial therapy following MET calls due to suspected sepsis. Targeted AMS review should be implemented to support early antimicrobial de-escalation and optimization in patients with suspected sepsis.

Introduction of a modified analgesic ladder in the emergency depart-ment: Effect on oxycodone use for back pain.

OBJECTIVE: The aim of this study was to assess the introduction of an analgesic ladder and targeted education on oxycodone use for patients presenting to the emergency department (ED). DESIGN: A retrospective pre-post implementation study was conducted. Data were extracted for patients presenting from June to July 2016 (preintervention) and June to July 2017 (post-intervention). SETTING: The EDs of a major metropolitan health service and an affiliated community-based hospital. PARTICIPANTS: Patients with back pain where nonpharmacological interventions such as mobilization and physiotherapy are recommended as the mainstay of treatment. INTERVENTIONS: A modified analgesic ladder introduced in May 2017. The ladder promoted the use of simple analgesics such as paracetamol and nonsteroidal anti-inflammatory drug (NSAIDs) prior to opioids and tramadol in preference to oxycodone in selected patients. MAIN OUTCOME MEASURE(S): The proportion of patients prescribed oxycodone and total doses administered. RESULTS: There were 107 patients pre and 107 post-intervention included in this study. After implementation of the analgesic ladder, 78 (72.9 percent) preintervention patients and 55 (51.4 percent) post-intervention patients received oxycodone in ED (p = 0.001). The median oxycodone doses administered in the ED was 14 mg (interquartile range: 5-20 mg) and 5 mg (interquartile range: 5-10 mg; p < 0.001), respectively. On discharge from hospital, a prescription for oxycodone was issued for 36 (33.6 percent) patients preintervention and 26 (24.3 percent) patients post-intervention (p = 0.13). CONCLUSIONS: Among patients with back pain, implementation of a modified analgesic ladder was associated with a statistically significant but modest reduction in oxycodone prescription. Consideration of multifaceted interventions to produce major and sustained changes in opioid prescribing is required.

Educating junior doctors and pharmacists to reduce discharge prescribing of opioids for surgical patients: a cluster randomised controlled trial.

OBJECTIVES: To evaluate whether educating junior doctors and hospital pharmacists about analgesic prescribing improved discharge prescribing of opioids for opioid-naïve patients after surgical admissions. DESIGN: Cluster randomised controlled trial, undertaken during the first half of 2019. SETTING: The Alfred Hospital, a major Melbourne teaching hospital with 13 surgical units. PARTICIPANTS: Opioid-naïve patients discharged from surgical units after a stay of at least 24 hours. INTERVENTION: Surgical units were randomised to the intervention or control arms. Interns, residents, and clinical pharmacists assigned to intervention arm units attended education sessions, presented by the hospital analgesic stewardship pharmacist, about appropriate analgesic prescribing for patients in hospital surgical units. MAIN OUTCOME MEASURES: The patients prescribed slow release opioids on discharge from hospital during the baseline (1 February - 30 April 2018) and post-intervention periods (17 February - 30 April 2019). RESULTS: During the baseline period, 1369 intervention unit and 1014 control unit admissions were included in our analysis; during the evaluation period, 973 intervention unit and 706 control unit episodes were included. After adjusting for age, length of stay, pain score, acute pain service involvement, and use of immediate release opioids prior to admission, patients in the intervention group were prescribed slow release opioids at discharge less frequently than patients in the control group (adjusted odds ratio [aOR], 0.52; 95% CI, 0.35-0.77) and were more frequently discharged without any prescribed opioids following the intervention (aOR, 1.69; 95% CI, 1.24-2.30). Providing de-escalation plans was more frequent for intervention than control group patients prescribed slow release opioids on discharge post-intervention (OR, 2.36; 95% CI, 1.25-4.45). CONCLUSIONS: Specific education for clinicians and pharmacists about appropriate analgesic prescribing for surgical patients is effective in reducing prescribing of opioids at discharge. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12618000876291 (prospective).

The efficacy and safety of varenicline alone versus in combination with nicotine lozenges for smoking cessation among hospitalised smokers (VANISH): study protocol for a randomised, placebo-controlled trial.

INTRODUCTION: Smoking is a leading cause of premature deaths globally. The health benefits of smoking cessation are many. However, majority of quit attempts are unsuccessful. One way to potentially improve success rates is to evaluate new combinations of existing smoking cessation therapies that may work synergistically to decrease the intensity of withdrawal symptoms and cravings. AIMS: To evaluate the feasibility, efficacy and safety of the combination of varenicline and nicotine replacement therapy (NRT) lozenges versus varenicline alone in assisting hospitalised smokers to quit. METHODS AND ANALYSIS: This is a multicentre, randomised, placebo-controlled trial. Adults with a history of smoking ≥10 cigarettes per day on average in the 4 weeks prior to their hospitalisation will be recruited. Participants will be randomly assigned to either the intervention group and will receive varenicline and NRT lozenges, or the control group and will receive varenicline and placebo lozenges. All participants will be actively referred to behavioural support from telephone Quitline. Participants are followed up at 1 and 3 weeks and 3, 6 and 12 months from the start of treatment. The primary outcome is carbon monoxide validated prolonged abstinence from 2 weeks to 6 months after treatment initiation. Secondary outcomes include self-reported and biochemically validated prolonged and point prevalence abstinence at 3, 6 and 12 months, self-reported adverse events, withdrawal symptoms and cravings, adherence to treatment, Quitline sessions attended and others. According to the Russell Standard, all randomised participants will be accounted for in the primary intention-to-treat analysis. ETHICS AND DISSEMINATION: The trial will be conducted in compliance with the protocol, the principles of Good Clinical Practice, the National Health and Medical Research Council National Statement on Ethical Conduct in Human Research (updated 2015) and the Australian Code for the Responsible Conduct of Research (2018). Approval will be sought from the Human Ethics Committees of all the participating hospitals and the university. Written informed consent will be obtained from each participant at the time of recruitment. TRIAL REGISTRATION NUMBER: Australia New Zealand Clinical Trials Registry (ACTRN12618001792213).

Statin use and fall-related hospitalizations among residents of long-term care facilities: A case-control study.

BACKGROUND: Statins are associated with muscle-related adverse events, but few studies have investigated the association with fall-related hospitalizations among residents of long-term care facilities (LTCFs). OBJECTIVE: The objective of the study is to investigate whether statin use is associated with fall-related hospitalizations from LTCFs. METHODS: A case-control study was conducted among residents aged ≥65 years admitted to hospital from 2013 to 2015. Cases (n = 332) were residents admitted for falls and fall-related injuries. Controls (n = 332) were selected from patients admitted for reasons other than cardiovascular and diabetes. Cases and controls were matched 1:1 by age (±2 years), index date of admission (±6 months), and sex. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression, after considering for history of falls, hypertension, dementia, functional comorbidity index, polypharmacy (≥9 regular preadmission medications), and fall-risk medications. Subanalyses were performed for individual statins, dementia, and statin intensity. RESULTS: Overall, 43.1% of cases and 27.1% of controls used statins. Statins were associated with fall-related hospitalizations (aOR = 2.24, 95% CI 1.56-3.23), in particular simvastatin (aOR = 2.26, 95% CI 1.22-4.20) and atorvastatin (aOR = 2.08, 95% CI 1.33-3.24). Statins were associated with fall-related hospitalizations in residents with (aOR = 2.34, 95% CI 1.33-4.11) and without dementia (aOR = 2.30, 95% CI 1.46-3.63). There was no association between statin intensity and fall-related hospitalizations (aOR = 0.78, 95% CI 0.43-1.40). CONCLUSION: This study suggests a possible association between statin use and fall-related hospitalizations among residents living in LTCFs. However, there was minimal evidence for a relationship between statin intensity and fall-related hospitalizations. Further research is required to substantiate these hypothesis-generating findings.

The role of medication advisory committees in residential aged care services.

BACKGROUND: There is increasing international interest in initiatives to reduce medication-related harm and preventable hospitalizations in residential aged care services (RACS). The Australian Government recommends that RACS establish multidisciplinary Medication Advisory Committees (MACs). No previous research has specifically investigated the structures and functioning of MACs. OBJECTIVES: To explore the current structures and functioning of MACs, and identify opportunities for MACs to better promote safe and effective medication use. METHODS: Semi-structured interviews and focus groups were conducted with a maximum variation sample of health professionals (n = 44) across four health services operating across 27 RACS in rural and regional Victoria, Australia. Qualitative data were analyzed using deductive and inductive content analyses. Results were presented to a multidisciplinary expert panel (n = 13) to identify opportunities for improvement. RESULTS: Deductively coded themes included composition and functioning of the MAC, education and information needs and support to better manage polypharmacy. Emergent inductively coded themes included general medical practitioner (GP) and pharmacist engagement, collaboration and effectiveness. Participation by GPs and pharmacists was variable, while no MACs involved residents or family carers. Aged care specific and multidisciplinary MACs were generally more proactive in addressing potential medication-related harm. Education to identify and report adverse drug events with high risk medications was identified as a priority. The multidisciplinary panel made 12 recommendations to promote safe and effective medication use. CONCLUSION: Despite all MACs having a strong commitment to medication safety, opportunities exist to improve the composition and structure, proactive identification and response to emerging issues, and systems for staff, resident and family carer training.

Multi-site evaluation of partnered pharmacist medication charting and in-hospital length of stay.

AIMS: To undertake a multicentre evaluation of translation of a partnered pharmacist medication charting (PPMC) model in patients admitted to general medical units in public hospitals in the state of Victoria, Australia. METHODS: Unblinded, prospective cohort study comparing patients before and after the intervention. Conducted in seven public hospitals in Victoria, Australia from 20 June 2016 to 30 June 2017. Patients admitted to general medical units were included in the study. Medication charting by pharmacists using a partnered pharmacist model was compared to traditional medication charting. The primary outcome variable was the length of inpatient hospital stay. Secondary outcome measures were medication errors detected within 24 h of the patients' admission, identified by an independent pharmacist assessor. RESULTS: A total of 8648 patients were included in the study. Patients who had PPMC had reduced median length of inpatient hospital stay from 4.7 (interquartile range 2.8-8.2) days to 4.2 (interquartile range 2.3-7.5) days (P < 0.001). PPMC was associated with a reduction in the proportion of patients with at least 1 medication error from 66% to 3.6% with a number needed to treat to prevent 1 error of 1.6 (95% confidence interval: 1.57-1.64). CONCLUSION: Expansion of the partnered pharmacist charting model across multiple organisations was effective and feasible and is recommended for adoption by health services.

The frequency and nature of clinician identified medication-related rapid response system calls.

AIM: The contribution of adverse medication events to clinical deterioration is unknown. This study aimed to determine the frequency and nature of rapid response system (RRS) calls that clinicians perceived were medication-related using RRS quality arm data. METHODS: Analysis of routine data prospectively collected by clinicians responding to RRS calls in an Australian acute tertiary academic hospital. RESULTS: Between January 2013 and June 2017, 12,221 adult patients triggered the RRS for 25,906 medical emergency team (MET) and 512 code blue calls. Clinicians identified 433 medication-related RRS calls (1.6%) involving 406 patients (3.3%). These included 418 MET calls (1.3 medication-related MET calls per 1000 admissions) and 15 code blue calls (0.045 medication-related code blue calls per 1000 admissions). Medication-related calls occurred earlier in the admission (p = 0.002) and were more common for patients triggering multiple calls during the same admission (p < 0.001), compared to non-medication-related calls. Medication-related calls most commonly were triggered by low blood pressure (38.3%) and involved cardiovascular (43.0%) and nervous system medications (36.0%). Dose-related toxicity (n = 178) was the most frequent adverse medication event contributing to medication-related calls. CONCLUSION: One in 30 patients triggering a RRS call experienced medication-related clinical deterioration, most often due to dose related toxicity of cardiovascular system medications. The perceived frequency and potential preventability of this medication-related harm suggest further research is required to increase recognition of medication-related RRS calls by responding clinicians and to reduce the incidence.

Proton Pump Inhibitors and Infection-Related Hospitalizations Among Residents of Long-Term Care Facilities: A Case-Control Study.

OBJECTIVE: Our objective was to investigate associations between proton pump inhibitor (PPIs) use and infection-related hospitalizations among residents of long-term care facilities (LTCFs). METHODS: This was a case-control study of residents aged ≥ 65 years admitted to hospital between July 2013 and June 2015. Residents admitted for infections (cases) and falls or fall-related injuries (controls) were matched for age (± 2 years), sex, and index date of admission (± 6 months). Conditional logistic regression was used to estimate crude and adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for associations between PPI use and infection-related hospitalizations. Analyses were adjusted for age, sex, polypharmacy, diabetes, heart failure, chronic obstructive pulmonary disease, myocardial infarction, cerebrovascular accident, and concomitant use of cancer and immunosuppressant medications. Subgroup analyses were performed for high- and low/moderate-intensity PPIs and for respiratory and non-respiratory infections. Logistic regression was used to compare the odds of infection-related hospitalizations among users of high- and low/moderate-intensity PPIs. RESULTS: Overall, 181 cases were matched to 354 controls. Preadmission PPI use was associated with infection-related hospitalizations (aOR 1.66; 95% CI 1.11-2.48). In subgroup analyses, the association was apparent only for respiratory infections (aOR 2.26; 95% CI 1.37-3.73) and high-intensity PPIs (aOR 1.93; 95% CI 1.23-3.04). However, the risk of infection-related hospitalization was not significantly higher among users of high- versus low/moderate-intensity PPIs (aOR 1.25; 95% CI 0.74-2.13). CONCLUSION: Residents who use PPIs may be at increased risk of infection-related hospitalizations, particularly respiratory infections. Study findings provide further support for initiatives to minimize unnecessary PPI use in the LTCF setting.

An Observational Analysis of Medication Use During 5,727 Medical Emergency Team Activations at a Tertiary Referral Hospital.

BACKGROUND: Medical emergency teams (METs) rescue deteriorating patients as the response arm of hospital rapid response systems. This study aimed to (1) investigate medication use during MET activations by describing the type, frequency and access sources of medications; and (2) assess associations between patient characteristics, MET activation criteria, and outcomes and MET medication use. METHODS: A single-center, retrospective study from a prospective database of MET activations in an Australian tertiary referral hospital was undertaken. Consecutive adult MET activations over a 12-month period were included. RESULTS: Across the study period, there were 5,727 MET activations with medications used at 33.5% (n = 1,920). Of 2,648 medications used, cardiac system agents (n = 944; 35.6%) were the most common category used, while intravenous electrolytes (n = 341; 12.9%) and opioid analgesics (n = 248; 9.4%).were the most frequently used medications. Most commonly, medications were sourced from ward stocks. High blood pressure, heart or respiratory rate, pain, and multiple activation criteria were associated with MET medication use (p < 0.001). Patients who required medications were less likely to remain on the ward, and immediate admission to the ICU was approximately doubled (odds ratio = 1.90; 95% confidence interval = 1.47-2.45). CONCLUSION: Medication use by the MET was common and associated with escalation to intensive care. A wide variety of medications, principally from ward stocks, were used with some predictability based on activation criteria. Local system improvements have demonstrated that by focusing on common MET syndromes and medications, further investigation can refine and improve medication use and management systems for deteriorating patients.

Understanding how medications contribute to clinical deterioration and are used in rapid response systems: A comprehensive scoping review.

BACKGROUND: In hospitals, rapid response systems (RRSs) identify patients who deteriorate and provide critical care at their bedsides to stabilise and escalate care. Medications, including oral and parenteral pharmaceutical preparations, are the most common intervention for hospitalised patients and the most common cause of harm. This connection between clinical deterioration and medication safety is poorly understood. OBJECTIVES: To inform improvements in prevention and management of clinical deterioration, this review aimed to examine how medications contributed to clinical deterioration and how medications were used in RRSs. REVIEW METHODS: A scoping review was undertaken of medication data reported in studies of clinical deterioration or RRSs in diverse hospital settings between 2005 and 2017. Bibliographic database searches used permutations of "rapid response system," "medical emergency team," and keyword searching with medication-related terms. Independent selection, quality assessment, and data extraction informed mapping against four medication themes: causes of deterioration, predictors of deterioration, RRS use, and management. RESULTS: Thirty articles were reviewed. Quality was low: limited by small samples, observational, single-centre designs and few primary medication-related outcomes. Adverse drug reactions and potentially preventable medication errors, involving sedatives, analgesics, and cardiovascular agents, contributed to clinical deterioration. While sparsely reported, outcomes included death and escalation of care. In children, administration of antibiotics or nebulised medications appeared to predict subsequent deterioration. Cardiovascular medications, sedatives, and analgesics commonly were used to manage deterioration but further detail was lacking. Despite reported potential for patient harm, evaluation of medication management systems was limited. CONCLUSIONS: Medications contributed to potentially preventable clinical deterioration, with considerable harm, and were common interventions for its management. When assessing deteriorating patients or caring for patients who require escalation to critical care, clinicians should consider medication errors and adverse reactions. Studies with more specific medication-related, patient-centred end points could reduce medication-related deterioration and refine RRS medication use and management.

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.

Prevalence and Variability in Medications Contributing to Polypharmacy in Long-Term Care Facilities.

BACKGROUND: Research into which medications contribute to polypharmacy and the variability in these medications across long-term care facilities (LTCFs) has been minimal. OBJECTIVE: Our objective was to investigate which medications were more prevalent among residents with polypharmacy and to determine the variability in prescribing of these medications across LTCFs. METHODS: This was a cross-sectional study of 27 LTCFs in regional and rural Victoria, Australia. An audit of the medication charts and medical records of 754 residents was performed in May 2015. Polypharmacy was defined as nine or more regular medications. Logistic regression was performed to determine the association between medications and resident characteristics with polypharmacy. Analyses were adjusted for age, sex and Charlson's comorbidity index. Variability in the use of the ten most prevalent medication classes was explored using funnel plots. Characteristics of LTCFs with low (< 30%), moderate (30-49%) and high (≥ 50%) polypharmacy prevalence were compared. RESULTS: Polypharmacy was observed in 272 (36%) residents. In adjusted analyses, each of the top ten most prevalent medication classes, with the exception of antipsychotics, were associated with polypharmacy. Between 7 and 23% of LTCFs fell outside the 95% control limits for each of the ten most prevalent medications. LTCFs with ≥ 50% polypharmacy prevalence were predominately smaller. CONCLUSION: Polypharmacy was associated with nine of the ten most prevalent medication classes. There was greater than fourfold variability in nine of the ten most prevalent medications across LTCFs. Further studies are needed to investigate the clinical appropriateness of the variability in polypharmacy.