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Background: Multimodal analgesia regimens are recommended for the postoperative period after hip and knee replacement surgeries. However, there are no data on practice patterns for analgesic use in the immediate postoperative period after hip and knee replacements in Australia. Objectives: To describe analgesic prescribing patterns in the inpatient postoperative phase for patients undergoing hip and knee replacement. Methods: Retrospective study of electronic medical record data from two major hospitals in Sydney, Australia. We identified analgesic medication prescriptions for all patients aged 18 years and older who underwent hip or knee replacement surgery in 2019. We extracted data on pain medications prescribed while in the ward up until discharge. These were grouped into distinct categories based on the Anatomical Therapeutic Chemical classification. We described the frequency (%) of pain medications used by category and computed the average oral morphine equivalent daily dose (OMEDD) during hospitalisation. Results: We identified 1282 surgeries in 1225 patients. Patients had a mean (SD) age of 69 (11.8) years; most (57.1%) were female. Over 99% of patients were prescribed opioid analgesics and paracetamol during their hospital stay. Most patients (61.4%) were managed with paracetamol and opioids only. The most common prescribed opioid was oxycodone (87.3% of patients). Only 19% of patients were prescribed nonsteroidal anti-inflammatories (NSAIDs). The median (IQR) average daily OMEDD was 50.2 mg (30.3–77.9). Conclusion: We identified high use of opioids analgesics as the main strategies for pain control after hip and knee replacement in hospital. Other analgesics were much less frequently used, such as NSAIDs, and always in combination with opioids and paracetamol. [ABSTRACT FROM AUTHOR]

Background: Few Australian studies have examined the incidence of prescribed opioid use prior to primary total knee or total hip arthroplasty (TKA, THA) and whether it predicts post-surgery outcomes. A recent Australian study demonstrated that the prevalence of pre-arthroplasty opioid use was approximately 16%. In the United States, approximately 24% of people undergoing TKA or THA are chronic opioid users preoperatively. Purpose: This study aimed to determine (i) the proportion of TKA and THA patients who use prescribed opioids regularly (daily) before surgery (i.e., opioid use reported between the time of waitlisting and any time up to 3 months before surgery), (ii) if opioid use before surgery predicts (a) complication/readmission rates to 6-months post-surgery, and (b) patient-reported outcomes to 6-months post-surgery. Methods: A retrospective cohort study of patients who underwent TKA or THA between January 2013 and June 2018 from two Australian public hospitals was undertaken utilizing linked individual patient-level data from two prospectively collected independent databases comprising approximately 3,500 and 9,500 people (database contained known opioid usage data within the 5-year time frame). Inclusion criteria included (i) primary diagnosis of osteoarthritis of the index joint, (ii) primary elective THA or TKA, and (iii) age ≥ 18 years. Exclusion criteria included (i) revision arthroplasty, (ii) non-elective arthroplasty, (iii) hip hemiarthroplasty, (iv) uni-compartmental knee arthroplasty, and (v) previous unilateral high tibial osteotomy. Results: Analysis was completed on 1,187 study participants (64% female, 69% TKA, mean (SD) age 67 [9.9]). 30% were using regular opioids preoperatively. Adjusted regression analyses controlling for multiple co-variates indicated no significant association between preoperative opioid use and complications/readmission rates or patient-reported outcomes to 6 months post-surgery. Model diagnostics produced poor discrimination for area under the curves and non-significant goodness of fit tests. Pre-arthroplasty opioid use was associated with lower health-related quality of life (EuroQol-Visual Analogue Scale) compared to non-opioid users undergoing primary THA (mean difference -5.04 [-9.87, -0.22], P = 0.04, Adjusted R2 = 0.06) Conclusion: In this study, 30% of patients were using prescribed opioids daily prior to primary TKA or THA. Pre-arthroplasty opioid use was not associated with postoperative adverse events or patient-reported pain, function, or global perceived improvement up to six months post-surgery. [ABSTRACT FROM AUTHOR]

OBJECTIVES: The objective of this study was to compare pain control and opioid consumption in critically ill patients who were treated with buprenorphine sublingual or oxycodone oral/enteral during ICU admission. DESIGN: This was a retrospective, parallel, cohort study. SETTING: General medical or surgical ICUs of a quaternary, urban hospital in Sydney, NSW, Australia. PATIENTS: Data were obtained for all patients admitted to two general medical or surgical ICU from January 2019 to January 2023. Patients were grouped as those who received buprenorphine sublingual versus oxycodone oral/enteral. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Pain control was compared between a propensity score matched cohort of patients who received buprenorphine versus oxycodone. The primary outcome was the probability of significant pain. A significant pain score was defined as greater than or equal to 4 on the 0–10 Numeric Rating Scale or greater than or equal to 6 on the Behavioral Pain Scale. The study cohort included 1,070 patients (288 buprenorphine and 782 oxycodone). After propensity score matching, there were 288 patients in each group. The mean age of the matched cohort was 64±16 years, 295 (51%) were male, and 359 (62%) had a surgical admission. The median probability of significant pain was 0.16 with buprenorphine and 0.17 with oxycodone (median difference, 0.01; 95% CI, –0.02 to 0.04; p = 0.50). Median opioid consumption in oral morphine milligram equivalents (MMEs) was 65 with buprenorphine and 70 with oxycodone (median difference, –1mg; 95% CI, –10 to 10mg; p = 0.73). Median MME per ICU day was 22 with buprenorphine and 22 with oxycodone (median difference, 1mg; 95% CI, –2 to 5mg; p = 0.38). CONCLUSIONS: Buprenorphine sublingual is as effective as oxycodone oral/enteral with regard to pain control and opioid consumption in the ICU. Buprenorphine sublingual is an appropriate option for patients in the ICU who are unable to take oral/enteral medications. [ABSTRACT FROM AUTHOR]

Background: Hospital‐acquired venous thromboembolism (VTE) is a major cause of morbidity and mortality. Aims: To determine the proportion of patients with hospital‐acquired VTE that are preventable. Methods: This was a retrospective study of patients in two tertiary care hospitals in Sydney, Australia. Data were collected for patients with hospital‐acquired VTE based on International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification (ICD‐10‐AM) coding from January 2018 to May 2020. Patients were classified as low, moderate or high risk of developing a VTE during hospitalisation based on demographic and clinical factors. A hospital‐acquired VTE was considered to be potentially preventable if there was suboptimal prophylaxis in the absence of contraindications. Suboptimal therapy included at least one of the following related to VTE prophylaxis: low dose, missed dose (prior to developing a VTE), suboptimal drug and delayed start (>24 h from admission). Results: There were 229 patients identified with VTE based on ICD‐10‐AM coding. A subset of 135 patients were determined to have actual hospital‐acquired VTE. Of these, there were no patients at low risk, 64% (87/135) at moderate risk and 44% (48/135) at high risk of developing a VTE. Most (65%; n = 88/135) patients had one or more contraindications to receive recommended prophylaxis. Overall, the proportion of patients who received suboptimal prophylaxis was 11% (15/135). Conclusion: Approximately one out of 10 hospital‐acquired VTE are preventable. Hospitals should focus on measuring and reporting VTE that are preventable to provide a more accurate measure of the burden of VTE that can be reduced by improving care. [ABSTRACT FROM AUTHOR]

Aim: To benchmark annual research output from hospital pharmacy departments in Australian principal referral hospitals. Data sources: Embase, Medline, and Scopus. Study selection: All 29 principal referral hospitals listed by the Australian Institute of Health and Welfare were searched using the institution field from 2018–2020. Articles were included if an author was affiliated with a hospital pharmacy department. Conference abstracts, letters, narrative reviews, opinions, commentaries, or editorials were excluded. Results: A total of 261 research articles were identified from 27 principal referral hospital pharmacy departments from 2018–2020. Median research output over 3 years was five (interquartile range, 3–9) articles. In terms of annual research, hospital pharmacy departments in the 50th and 90th percentile for total publication output published two and ten original research articles every year, respectively. Overall, 56% (n = 145) of the published studies were observational, 35% (n = 90) had a first author with a pharmacy department affiliation, 97% (n = 252) had at least one author with a university affiliation, and in 5% (n = 12) of the articles there was more than one hospital pharmacy department affiliation. Conclusion: On average, hospital pharmacy departments in Australian principal referral hospitals publish two original research articles every year. Nearly all of these articles are published in collaborations with universities. [ABSTRACT FROM AUTHOR]

Background: Despite healthcare professionals (HCP) endorsing the clinical utility of pharmacogenomics testing, use in clinical practice is limited. Aims: To assess HCP' perceptions of pharmacogenomic testing and identify barriers to implementation. Methods: HCP involved in prescribing decisions at three hospitals in Sydney, Australia, were invited to participate. The online survey assessed perceptions of pharmacogenomic testing, including: (i) demographic and practice variables; (ii) use, knowledge and confidence; (iii) perceived benefits; (iv) barriers to implementation; and (v) operational and/or system changes and personnel required to implement on site. Results: HCP were predominantly medical practitioners (75/107) and pharmacists (25/107). HCP perceived pharmacogenomic testing was beneficial to identify reasons for drug intolerance (85/95) and risk of side‐effects (86/95). Although testing was considered relevant to their practice (79/100), few HCP (23/100) reported past or intended future use (26/100). Few HCP reported confidence in their ability to identify indications for pharmacogenomic testing (14/107), order tests (19/106) and communicate results with patients (16/107). Lack of clinical practice guidelines (62/79) and knowledge (54/77) were identified as major barriers to implementation of pharmacogenomics. Comprehensive reimbursement for testing and clinical practice guidelines, alongside models‐of‐care involving multidisciplinary teams and local clinical champions were suggested as strategies to facilitate implementation of pharmacogenomic testing into practice. Conclusions: Pharmacogenomic testing was considered important to guide drug selection and dosing decisions. However, limited knowledge, low confidence and an absence of guidelines impede the use of pharmacogenomic testing. Establishment of local resources including multidisciplinary models‐of‐care was suggested to facilitate implementation of pharmacogenomics. [ABSTRACT FROM AUTHOR]

Objective. This systematic review identified studies that provided an estimate of persistent opioid use following patient discharge from hospital settings in Australia. Methods. A literature search was performed on 5 December 2020, with no date restrictions to identify studies that reported a rate of persistent opioid use following patient discharge from Australian Hospitals. The search strategy combined all terms relating to the themes 'hospital patients', 'prescribing', 'opioids' and 'Australia'. Studies that dealt solely with cancer, palliative care or addiction medicine were excluded. The databases searched in this review were Embase, PubMed, Scopus, CINAHL, and International Pharmaceutical Abstracts. Studies were assessed for bias using the Newcastle-- Ottawa Scale and considered against international literature. Results. In total, 13 publications are included for final analysis in this review. Of these, 11 articles relate to post-surgical opioid use. With one exception, studies were of a 'good' quality. Methods of data collection in included studies were a mixture of those conducting follow up of patients directly over time and those utilising dispensing databases. Persistent opioid use among surgical patients generally ranged from 3.9 to 10.5% at between 2 and 4 months after discharge. Conclusions. How rates of persistent opioid use following hospital encounters in Australia are established, and how long after discharge rates are reported, is heterogeneous. Literature primarily relates to post-surgical patients, with very few studies investigating other settings such as encounters with the emergency department. [ABSTRACT FROM AUTHOR]

Background The changing of opioids during the transition of care from hospital to home may be associated with harm. Objective To compare patients receiving tapentadol IR versus oxycodone IR following orthopaedic surgery during hospitalisation with regard to the changing of opioids at hospital discharge. Setting A major metropolitan tertiary referral hospital in Australia. Methods This is a retrospective cohort study. Participants included adult orthopaedic surgery patients receiving postoperative tapentadol IR or oxycodone IR during hospitalisation between 1 January 2018 and 30 June 2019. Main outcome measure The proportion of patients for whom the opioid prescribed was changed at hospital discharge. Results The study cohort included 199 patients. Of these, 100 patients received oxycodone and 99 patients received tapentadol post-operatively during hospitalisation. The mean age was 66 years (SD, 12 years) and 111 (56%) were female. The most common surgeries were total knee arthroplasty (91, 46%), total hip arthroplasty (63, 32%) and shoulder surgery (26, 13%). Patients in the tapentadol group were more likely to be changed to a different opioid upon hospital discharge than the oxycodone group (57% versus 9%, difference 48% [95% CI 36–59%, p < 0.01). After adjusting for confounders, post-operative tapentadol use was more likely to be associated with opioid changing upon discharge (OR 16.5, 95% CI 6.7 to 40.8, p < 0.01). Conclusions The post-operative use of tapentadol IR during hospitalisation was associated with an increased likelihood of opioid changing at hospital discharge. This practice could have patient safety implications. [ABSTRACT FROM AUTHOR]

A self-administered patient medication history form may improve efficiency of workflow in the emergency department. The objective of this study was to evaluate the patient perspective of completing a self-administered medication history form in the emergency department. This was a cross-sectional survey of patients who presented to an urban emergency department in Australia. Face and content validity of the survey was established via an iterative process that included pharmacists and patients. After completing a self-administered medication history form, patients were surveyed regard their perspective of this approach. The results of each survey question were evaluated descriptively. A total of 113 completed the survey. The mean age was 59 ± 19 years, and 52% were male. Most patients (87%, n = 98) did not think there were any problems completing a self-administered list while waiting to be seen by a physician or pharmacist in the emergency department. Some patients preferred other modalities for clinicians to obtain the list due to their lack of recollection or confusion (4%, n = 4), preferred that clinicians utilised existing lists or evaluated medications brought with them (2%, n = 2), preferred the convenience of answering questions rather than writing (1%, n = 1), or did not list a reason (1%, n = 1). Most patients who present to the emergency department view a self-administered medication history form positively. [ABSTRACT FROM AUTHOR]

Purpose This study aimed to document the ways by which missing data were handled in clinical pharmacy research to provide an insight into the amount of attention paid to the importance of missing data in this field of research. Methods Our cross-sectional descriptive report evaluated 10 journals affiliated with pharmacy organizations in the United States, Canada, the United Kingdom, and Australia. Randomized controlled trials, cohort studies, case-control studies, and cross-sectional studies published in 2018 were included. The primary outcome measure was the proportion of studies that reported the handling of missing data in their methods or results. Results A total of 178 studies were included in the analysis. Of these, 19.7% (n = 35) mentioned missing data either in their methods (3.4%, n = 6), results (15.2%, n = 27), or in both sections (1.1%, n = 2). Only 4.5% (n = 8) of the studies mentioned how they handled missing data, the most common method being multiple imputation (n = 3), followed by indicator (n = 2), complete case analysis (n = 2), and simple imputation (n = 1). One study using multiple imputation and both studies using an indicator method also combined other strategies to account for missing data. One study only used complete case analysis for subgroup analysis, and the other study only used this method if a specific baseline variable was missing. Conclusions Very few studies in clinical pharmacy literature report any handling of missing data. This has the potential to lead to biased results. We advocate that researchers should report how missing data were handled to increase the transparency of findings and minimize bias. [ABSTRACT FROM AUTHOR]

Objective: To identify the types of adverse drug events (ADEs) that drug-drug interaction (DDI) alerts are trying to prevent in hospitalized patients.Methods: This was a retrospective cross-sectional study conducted in a tertiary referral hospital in Australia. All DDI alerts encountered by prescribers during a 1-month period were evaluated for potential ADEs targeted for prevention. If the same DDI alert occurred for the same patient multiple times during hospitalization, it was counted only once (i.e. first alert). This was termed a 'unique DDI alert' for a given patient. The primary outcome was the type of ADE the alerts were trying to prevent.Results: There were 715 patients who had 1599 unique DDI alerts. The two most common potential ADEs (not mutually exclusive) that the alerts attempted to prevent were QTc prolongation or torsades de pointes (n = 1028/1599, 64 %), followed by extrapyramidal symptoms or neuroleptic malignant syndrome (n = 463/1599, 29 %). Either of these two potential ADEs were present in 83 % (n = 1329/1599) of unique DDI alerts.Conclusion: Alerting systems are primarily trying to prevent two types of potential ADEs, which were included in more than 80 % of DDI alerts. This has important implications for patient monitoring in hospitals. [ABSTRACT FROM AUTHOR]

Background: Surgical site infection (SSI) after liver transplant (LT) is common, but no studies have been conducted in Australia. The purpose of this study was to determine the proportion of patients who developed an SSI post-LT in Australia's largest LT unit., Methods: This was a single-center retrospective cohort study. We included all LT recipients who were aged 18 years or more and received their transplant between March 1, 2018 and April 1, 2023. The primary outcome was to determine the proportion of LT recipients who developed an SSI within 30 days of transplantation., Results: There were 404 LTs performed during the study period, and 375 met inclusion criteria. Of these, 8% (n = 31/375) developed an SSI and were classified as superficial (3%, n = 12/375) or deep/organ space (5%, n = 19/375). The most common antibiotics used for prophylaxis were amoxicillin/clavulanate (75%, n = 281/375), followed by piperacillin/tazobactam (17%, n = 62/375). Independent risk factors associated with the development of SSI were Roux-en-Y hepaticojejunostomy (aOR 3.16, 95% CI 1.17-8.28, p = .02), operative time (per 60-min increment) (aOR 1.23, 95% CI 1.02-1.48), and re-operation (aOR 4.16, 95% CI 1.81-9.58, p < .01). Type of antibiotic received perioperatively was not significantly associated with SSI., Conclusion: SSI occurred in 8% of LT recipients and was predominantly related to operation-related factors rather than patient- or antibiotic-related factors., (© 2024 The Authors. Transplant Infectious Disease published by Wiley Periodicals LLC.)

Background: Medication-related hospitalisations present an opportunity for de-prescribing and simplification of medication regimens. The Medication Regimen Complexity Index (MRCI) is a tool for measuring the complexity of medication regimens., Objectives: To evaluate whether MRCI changes following medication-related hospitalisations, and to evaluate the relationship between MRCI, length of stay (LOS) in hospital, and patient characteristics., Methods: A retrospective medical record review of patients admitted to a tertiary referral hospital in Australia for medication-related problems, January 2019 to August 2020. MRCI was calculated using pre-admission medication lists and discharge medication lists., Results: There were 125 patients who met inclusion criteria. The median (IQR) age was 64.0 years (45.0-75.0) and 46.4% were female. Median MRCI decreased by 2.0 following hospitalisation: from median (IQR) 17.0 (7.0-34.5) on admission vs 15.0 (3.0-29.0) on discharge (p < 0.001). Admission MRCI predicted LOS ≥2 days (OR 1.03, 95%CI 1.00-1.05, p = 0.022). Allergic reaction-related hospitalisations were associated with lower admission MRCI., Conclusions: There was a decrease in MRCI following medication-related hospitalisation. Targeted medication reviews for high-risk patients (e.g., those with medication-related hospitalisations) could further reduce the burden of medication complexity following discharge from hospital and possibly prevent readmissions., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective This study provides an overview of opioid dispensing in Queensland from 2008 to 2018 by recipient age, drug, oral morphine equivalent and remoteness. Methods Data were obtained from the Queensland Monitoring of Drugs of Dependence System database for 2008-18 and analysed using data from the Australian Bureau of Statistics to account for population growth. Opioid dispensing by age, drug, oral morphine equivalent and remoteness were assessed. Results The number of prescriptions for Schedule 8 opioid medicines dispensed in Queensland increased from 190 to 430 per 1000 population over the study period (2.3-fold increase). Oxycodone had the largest increase in dispensing over the study period of 3.1-fold, with tapentadol increasing rapidly since initial Pharmaceutical Benefits Scheme listing in 2013 to the third most dispensed opioid by 2018. By 2018, opioid dispensing among the oldest Queenslanders, those aged 85+ years, occurred at triple the rate for those aged 65-84 years. When adjusted to report oral morphine equivalents (OME) in milligrams (mg), there has been an increase of approximately 1.9-fold over the study period. Results were also presented by geographical area, including a heatmap and analysis by remoteness. Prescriptions dispensed per 1000 population were 416 for major cities, 551 for inner regional and 445 for outer regional, and highlight that inner and outer regional areas have higher rates of prescriptions when compared to major cities (32 and 7% higher, respectively). Conclusion This study highlights changes in opioid prescription dispensing by drug and OME, as well as the variation in dispensing rates when accounting for remoteness. Further studies to link statewide databases, and to better understand drivers for differences in dispensing by location, will provide valuable insights to further inform policy and service provision.

Background: Opioid analgesics are commonly used to treat acute post-operative pain. The primary objective of this study was to identify the risk factors for opioid-related adverse drug events (ORADEs) in surgical patients and the association between ORADEs and clinical outcomes., Research Design and Methods: A retrospective cohort study was conducted using data from July 2016 to April 2020. ORADEs were defined using the International Classification of Diseases 10 th Revision Australian Modification codes. Multivariate logistic regression was performed to identify ORADE risk factors. To investigate the association between ORADEs and clinical outcomes, propensity score matching was performed., Results: Among 17,886 surgical patients who received opioid analgesics during hospital stay, 1,814 patients (10.2%) experienced ORADEs. Risk factors for general ORADEs included advanced age, comorbidities, concurrent use of benzodiazepines or gabapentinoids and a higher opioid daily dose. Patients who experienced ORADEs were associated with longer length of stay (Rate Ratio 3.00, 95% CI 2.97-3.04) but similar 28-day readmission rate (Odds Ratio 0.89, 95% CI 0.71-1.11)., Conclusions: Risk factors for general ORADEs were advanced age, specific comorbidities, use of benzodiazepines or gabapentinoids and higher opioid dose. Routine use of opioids with gabapentinoids should be avoided and only used after careful consideration.

Background: Adverse drug events (ADEs) remain a key contributor to hospitalisations, resulting in long hospital stays and readmissions. Information pertaining to the specific medications and clinical factors associated with these outcomes is limited. Hence, a better understanding of these factors and their relationship to ADEs is required., Objectives: To investigate medications involved, clinical manifestations of ADE-related hospitalisations, and their association with length of stay and readmission., Methods: A retrospective medical record review of patients admitted to a major, tertiary referral hospital in NSW, Australia, from January 2019 to August 2020 was conducted. ADEs were identified using Australian Refined Diagnosis Related Group (AR-DRG) codes: X40, X61, X62 and X64. Medications were classified per the Anatomical Therapeutic Chemical (ATC) classification system and clinical symptoms were classified per the International Classification of Disease (ICD) 9-CM. Logistic regression was performed to assess the relationship between medication and presentation classes with length of stay (≥2 days vs <2 days) and readmission., Results: There were 125 patients who met inclusion criteria (median age = 64 [interquartile range, 45-75] years; 53.6% male). Anti-thrombotic agents, opioids, antidepressants, antipsychotics, insulins and NSAIDs were the most implicated pharmacological classes. Neurological medications and falls were associated with a length of stay ≥2 days (adjusted odds ratio [aOR] 3.92, 95% confidence interval [CI] 1.48-10.33 and aOR 3.24, 95% CI 1.05-10.06, respectively). Neurological medications and neurological and cognitive disorders were associated with an increased likelihood of 90-day readmission (aOR 2.63, 95% CI 1.05-6.57 and aOR 3.20, 95% CI 1.17-8.75, respectively)., Conclusion: This study identified neurological medications as high-risk for increased length of stay and readmission in those hospitalised due to ADEs. This highlights the need for judicious prescribing and monitoring of these medications., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objective: To evaluate the cost-effectiveness of tapentadol immediate-release (IR) versus oxycodone IR for post-operative pain after a major hip surgery., Methods: This study has been conducted using an Australian societal perspective, focusing on adult patients after a major hip surgery. A cost-effectiveness analysis was conducted using a decision-analytic model. The model incorporated drug and other resource costs, the probability of opioid-related adverse events, and quality-adjusted life months (QALM) in each treatment arm. A willingness to pay (WTP) threshold of AU$2500 was used per QALM gained. A probabilistic sensitivity analysis was conducted to examine the uncertainty of the assumptions. The primary outcome was the incremental cost-effectiveness ratio (ICER) of tapentadol IR versus oxycodone IR, expressed as Australian dollars (AU$) per QALM gained., Results: Tapentadol IR dominated oxycodone IR, with a cost savings of AU$201 and an increase in QALM by 0.014. The ICER was -13,946 AU$/QALM (negative value attributed to numerator). In the probabilistic sensitivity analysis, 84.2% of the simulations were in favour of tapentadol IR at the WTP threshold., Conclusions: Tapentadol IR may be more cost-effective than oxycodone IR for the treatment of acute postoperative pain after major hip surgeries.

Context: Constipation occurs in up to 71.7% (33/46) of hospital inpatients taking opioid analgesics. Co-prescribing laxatives with opioid analgesics is recommended to prevent opioid-induced constipation., Objectives: This study aimed to examine the effect of an electronic medical record (EMR) design modification to increase laxative co-prescribing among hospitalised inpatients taking opioid analgesics., Methods: In this retrospective 3-month before-and-after study, an EMR modification to improve docusate with sennosides order sentence visibility was implemented on 21 February 2018, at a teaching hospital in Sydney, Australia. The primary outcome was the co-prescription rate of docusate with sennosides within 24-h of the first opioid analgesic administered. International Classification of Diseases 10th Revision Australian Modification diagnosis codes were collected from the EMR. Multivariable logistic regression was performed to determine the impact of the EMR modification on co-prescribing of laxatives with opioid analgesics., Results: Of the 1832 adult inpatients included in the study (51.0% male), 50.5% were admitted before the EMR modification implementation and 49.5% were admitted afterwards. Docusate with sennosides was co-prescribed in 12.5% of patients before and 14.9% of patients after the EMR modification. Although the EMR modification did not change laxative co-prescribing among surgical patients (odds ratio [OR] = 1.1, 95% confidence interval [CI] 0.8-1.6, p = 0.54), a significant increase in co-prescription of docusate with sennosides among aged care patients (OR = 1.8, 95% CI 1.0-3.0, p = 0.03) was observed., Conclusions: An EMR design modification did not change laxative co-prescribing in hospital inpatients overall. However, the EMR modification was associated with a significant increase in laxative co-prescribing among aged care patients prescribed opioid analgesics., Competing Interests: Declaration of Competing Interest None declared., (Crown Copyright © 2020. Published by Elsevier B.V. All rights reserved.)

Objectives: The primary objective of this study was to determine the proportion of patients with medication discrepancies when using a self-administered medication history form in the emergency department (ED). The secondary objectives were to identify predictors of medication discrepancies and determine the proportion of patients with a high-risk medication discrepancy., Methods: This was a cross-sectional study conducted in an urban ED in Australia. Patients completed a self-administered medication history form while waiting to be seen by a physician. Subsequently, a best possible medication history was taken by a pharmacist to determine accuracy of the self-reported medication lists for patients with planned admissions. Discrepancies between the two medication lists were reported descriptively. A Poisson regression analysis was conducted to identify predictors of the rate of discrepancies. Associations were reported as incident rate ratios (IRR)., Results: A total of 138 patients were included in the study. The total number of discrepancies was as follows: 0 (25%, n = 34), 1 (34%, n = 47), 2 (11%, n = 15), and ≥3 (30%, n = 42). The number of medications (IRR 1.11, 95% CI 1.09 to 1.14, p < 0.001), female (IRR 1.51, 95% CI 1.18 to 1.92, p = 0.001), and missing community pharmacy information (IRR 2.10, 95% CI 1.64 to 2.68, p < 0.001) were significantly associated with rate of discrepancies. Overall, 20% (n = 28) of patients had one or more high-risk medication discrepancies., Conclusion: Patient self-administered medication history forms have a high rate of discrepancies and should be verified by a best possible medication history., (Copyright © 2019 Elsevier Inc. All rights reserved.)