Evaluation of Smart Pump Interoperability with an Electronic Medical Record System to Improve Infusion Safety.

Medications administered via intravenous (IV) infusions have high potential for patient harm. Evaluation of the rate of variances between the medication order on the Electronic Medical Record (EMR) and IV infusion details in the smart pump was performed pre and post- implementation of smart pump and EMR interoperability. Introduction of smart pumps with EMR interoperability resulted in a statistically significant reduction in frequency of variances.

Medication-related Medical Emergency Team activations: a case review study of frequency and preventability.

OBJECTIVES: Despite recognition of clinical deterioration and medication-related harm as patient safety risks, the frequency of medication-related Rapid Response System activations is undefined. We aimed to estimate the incidence and preventability of medication-related Medical Emergency Team (MET) activations and describe the associated adverse medication events. METHODS: A case review study of consecutive MET activations at two acute, academic teaching hospitals in Melbourne, Australia with mature Rapid Response Systems was conducted. All MET activations during a 3-week study period were assessed for a medication cause including identification of the contributing adverse medication event and its preventability, using validated tools and recognised classification systems. RESULTS: There were 9439 admissions and 628 MET activations during the study period. Of these, 146 (23.2%) MET activations were medication related: an incidence of 15.5 medication-related MET activation per 1000 admissions. Medication-related MET activations occurred a median of 46.6 hours earlier (IQR 22-165) in an admission than non-medication-related activations (p=0.001). Furthermore, this group also had more repeat MET activations during their admission (p=0.021, OR=1.68, 95% CI 1.09 to 2.59). A total of 92 of 146 (63%) medication-related MET activations were potentially preventable. Tachycardia due to omission of beta-blocking agents (10.9%, n=10 of 92) and hypotension due to cumulative toxicity (9.8%, n=9 of 92) or inappropriate use (10.9%, n=10 of 92) of antihypertensives were the most common adverse medication events leading to potentially preventable medication-related MET activations. CONCLUSIONS: Medications contributed to almost a quarter of MET activations, often early in a patient's admission. One in seven MET activations were due to potentially preventable adverse medication events. The most common of these were omission of beta-blockers and clinically inappropriate antihypertensive use. Strategies to prevent these events would increase patient safety and reduce burden on the MET.

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.

Feasibility of Bluetooth Low Energy wearable tags to quantify healthcare worker proximity networks and patient close contact: A pilot study.

BACKGROUND: The hospital environment is characterised by a dense network of interactions between healthcare workers (HCWs) and patients. As highlighted by the coronavirus pandemic, this represents a risk for disease transmission and a challenge for contact tracing. We aimed to develop and pilot an automated system to address this challenge and describe contacts between HCWs and patients. METHODS: We developed a bespoke Bluetooth Low Energy (BLE) system for the hospital environment with anonymous tags worn by HCWs and fixed receivers at patient room doors. Proximity between wearable tags inferred contact between HCWs. Tag-receiver interactions inferred patient room entry and exit by HCWs. We performed a pilot study in four negative pressure isolation rooms from 13 April to 18 April 2021. Nursing and medical staff who consented to participate were able to collect one of ten wearable BLE tags during their shift. RESULTS: Over the four days, when divided by shift times, 27 nursing tags and 3 medical tags were monitored. We recorded 332 nurse-nurse interactions, for a median duration of 58 s [interquartile range (IQR): 39-101]. We recorded 45 nursing patient room entries, for a median 7 min [IQR: 3-21] of patient close contact. Patient close contact was shorter in rooms on airborne precautions, compared to those not o transmission-based precautions. CONCLUSION: This pilot study supported the functionality of this approach to quantify HCW proximity networks and patient close contact. With further refinements, the system could be scaled-up to support contact tracing in high-risk environments.

Bringing the Nurse Back to the Bedside.

As digitisation continues to increase across Australian health services, the nursing profession has focused on analysing and measuring the way care is provided to the patients. Focus on optimising nursing workflows and improved care delivery has presented challenges but this is now demonstrating improvements in patient care outcomes and time for care.

Redundancy within hospital-related harm prediction tools.

The predictive ability and efficiency of inpatient harm screening tools is unclear. We performed a retrospective analysis of approximately 25 000 people admitted to our hospital in 2019. We found that the discriminatory ability of the harm screening tools was at best moderate and could be attributed to one or two questions that overlapped with each other in the harm they predicted.

A longitudinal time and motion study quantifying how implementation of an electronic medical record influences hospital nurses' care delivery.

AIM BACKGROUND: Many health care services are implementing or planning to undergo digital transformation to keep pace with increasing Electronic Medical Record (EMR) functionality. The aim of this study was to objectively measure nursing care delivery before and following introduction of an EMR. DESIGN AND METHODS: An extensive program of work to expand an EMR across our health service using a 'big bang' methodology was undertaken. The program incorporated digital care delivery workflows including physiological observations, clinical notes and closed loop medication management. The validated Work Observation Method by Activity Timing (WOMBAT) method was applied to undertake a direct observational time and motion study of nurses' work in a major Australian hospital immediately prior to and six months following the introduction of a full clinical EMR. RESULTS: Time and motion results were from observing approximately one week of nursing time pre (paper) to six months post (EMR) implementation. A non-significant 6.4% increase in the proportion of time spent on direct care was observed when using the EMR with a statistically significant increase in mean time per direct care task (2.5 min vs 3.9 min, p = 0.001). The proportion of time spent on medication-related activities did not significantly change although the average time per task rose from 2.0 to 2.9 min (p = 0.008). A significant reduction in proportion of time spent in transit and indirect care tasks when using the electronic workflows was reported. No statistically significant changes to the proportions of time spent on professional communication, direct care or documentation were observed. CONCLUSIONS: Successful EMR implementation is possible without adversely affecting allocation of nursing time. Our findings from deploying a large scale EMR across all healthcare craft groups and workflows have described for nurses that an EMR enables them to spend longer with patients per direct care episode and use their time on other activities more effectively.

The pre-Medical Emergency Team response: Nurses' decision-making escalating deterioration to treating teams using urgent review criteria.

AIM: To describe nurses' decision-making, experiences and perceptions of escalating deteriorating patients to the treating medical team using urgent clinical review criteria. DESIGN: A qualitative design comprising individual in-depth interviews with nurses from a major Australian metropolitan tertiary teaching hospital. METHOD: A purposive sample of 30 Registered Nurses from nine surgical and medical wards were interviewed in April 2018 using semi-structured interviews. An inductive thematic analysis was conducted. RESULTS: Identified themes included: detecting the deterioration; countering the problem; getting a response; and challenges faced in the process of escalation. Nurses reported an important awareness, sense of responsibility, and critical thinking to ensure the safe management and escalation of deteriorating patients. However, barriers to escalation necessitated individual workarounds and organizational structures to mitigate patient risk. CONCLUSION: This study supports the importance of communication between clinical teams and recognizes that it is crucial to enable a fail-safe experience for patients and families. Recognition of disciplinary contributions to patients' goals of care is required to better understand and address the prevalence of deteriorating patients. Our study is among the first to explore the actual experience of nurses who articulate balancing uncertainty and managing complex team dynamics on wards for patients experiencing deteriorating health status. The information may assist in determining team training strategies and structures to facilitate patient management during deterioration. IMPACT: This is among the first study to investigate barriers influencing decision-making of RNs prior to escalation using qualitative methods. This study provides a foundation to inform and develop policies and strategies aimed at ensuring escalation occurs for deteriorating patients.

Improving sepsis care for hospital inpatients using existing medical emergency response systems.

BACKGROUND: Sepsis is a medical emergency; timely management has been shown to reduce mortality. We aimed to improve the care of inpatients who developed sepsis after hospital admission by integrating a sepsis bundle with an existing medical emergency team (MET). METHODS: We performed a before-and-after study at an Australian institution. A multimodal intervention was implemented including formation of a working group, development of a guideline, standard documentation, education, audit and feedback. The primary outcome was the proportion of MET calls where there was compliance with the sepsis resuscitation bundle within one hour of MET call. RESULTS: There was an improvement in completion of the entire resuscitation bundle (OR 2.33, 95%, CI: 1.23 - 4.41) and lactate measurement (OR 2.72, CI: 1.53, 4.84) within one hour of MET call. There was a non-significant reduction in the median time to antibiotic administration in patients where antibiotics were initiated or changed at the MET call (60 mins vs. 44 mins, p = 0.8). In hospital mortality was observed to fall from 22.1% to 11.4%, but after adjusting for age and baseline illness severity this differences was not statistically significant (OR 0.52, CI: 0.23, 1.19, p = 0.12). CONCLUSION: The implementation of a multimodal sepsis bundle and the utilisation of an existing MET call system demonstrated an increase in the overall uptake of a sepsis bundle. This was associated with an observed reduction in all-cause in-hospital mortality, although this difference was not statistically significant after adjustment for confounders. Further interventions with a focus on nursing education and engagement may improve timely antibiotic administration.

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.

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.

Avoiding adult in-hospital cardiac arrest: A retrospective cohort study to determine preventability.

INTRODUCTION: This study had three main aims. Develop a methodology for reviewing in-hospital cardiac arrests (IHCA). Assess appropriateness and potential preventability of IHCAs. Identify areas for improvement within the rapid response system (RRS). DESIGN: A retrospective cohort study of IHCA identified from an existing organisational electronic database of medical emergency (MET) and Code Blue team activation. Potential preventability of IHCA and Code Blue team activation were established by an expert panel based on a standardised case review process with descriptive and content analyses for each IHCA event. SETTING: A university affiliated tertiary referral hospital with an established two-tier RRS in Melbourne, Australia. PARTICIPANTS: Same day and multi-day stay patients identified from an existing database as having an IHCA defined as attempted resuscitation with chest compressions, defibrillation, or both from January 2014 to December 2015. MAIN OUTCOME MEASURES: Outcome measures were: number of Code Blue activations; potential preventability of Code Blue activations and potential preventability of the IHCA event. RESULTS: A total of 120 IHCA events equating to 0.58 per 1000 total admissions occurred. 11 (9%) of IHCA were determined to be potentially preventable due to a failure to escalate, medication errors and inappropriate management. 39 (33%) of 120 Code Blue team activations were determined to be potentially preventable. These were typically due to lack of identification and documentation for end of life (EOL) care in 16 (62%) cases and inappropriate resuscitation when limitations of care were already in place in 10 (38%) cases. CONCLUSIONS: The study centre has a comparably low rate of preventable IHCA which could be reduced further through improvements in documentation and handover process. A focus on improved communication, recognition and earlier instigation of appropriate EOL care will reduce this rate further.

Clinical review criteria and medical emergency teams: evaluating a two-tier rapid response system.

OBJECTIVES: To assess the prevalence of patients fulfilling clinical review criteria (CRC), to determine activation rates for CRC assessments, to compare baseline characteristics and outcomes of patients who fulfilled CRC with patients who did not, and to identify the documented nursing actions in response to CRC values. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional study using a retrospective medical record audit, in a universityaffiliated, tertiary referral hospital with a two-tier rapid response system in Melbourne, Australia. We used a convenience sample of hospital inpatients on general medical, surgical and specialist service wards admitted during a 24-hour period in 2013. MAIN OUTCOME MEASURES: Medical emergency team (MET) or code blue activation, unplanned intensive care unit admissions, hospital length of stay and inhospital mortality. For patients who fulfilled CRC or MET criteria during the 24- hour period, the specific criteria fulfilled, escalation treatments and outcomes were collected. RESULTS: Of the sample (N = 422), 81 patients (19%) fulfilled CRC on 109 occasions. From 109 CRC events, 66 patients (81%) had at least one observation fulfilling CRC, and 15 patients (18%) met CRC on multiple occasions. The documented escalation rate was 58 of 109 events (53%). The number of patients who fulfilled CRC and subsequent MET call activation criteria within 24 hours was significantly greater than the number who did not meet CRC (P < 0.001). CONCLUSIONS: About one in five patients reached CRC during the study period; these patients were about four times more likely to also fulfil MET call criteria. Contrary to hospital policy, escalation was not documented for about half the patients meeting CRC values. Despite the clarity of escalation procedures on the graphic observation chart, escalation remains an ongoing problem. Further research is needed on the impact on patient outcomes over time and to understand factors influencing staff response.

Changes in oxygenation in mechanically ventilated critically ill patients following hyperbaric treatment.

BACKGROUND: Some ventilated intensive care unit (ICU) patients may experience reduced oxygenation following hyperbaric oxygen treatment (HBOT). METHODS: In a prospective, single-centre, observational study, we documented changes in oxygenation and the need for associated changes in ventilator settings in 25 consecutive, mechanically ventilated ICU patients immediately post-treatment and 1, 2, 3 and 6 hours following 61 HBOT sessions. The primary outcome measure of oxygenation was the ratio of arterial partial pressure of oxygen (P(a)O2) against the level of inspired oxygen (F(i)O2), P(a)O2/F(i)O2. RESULTS: Following HBOT, the P(a)O2/F(i)O2 ratio decreased by 27% on return to ICU (P < 0.001, 95% confidence intervals (CI) 20.6 to 34.2); 22% at 1 hour post-HBOT (P < 0.001, 95% CI 15.1 to 28.6); and 8% at 2 hours post (P = 0.03, 95% CI 0.8 to 14.4). The ratio showed no significant differences from pre-HBOT at 3 and 6 hours post-HBOT. P(a)O2/F(i)O2 ratio changes necessitated adjustments to ventilation parameters upon return to ICU following 30 of 61 HBOT sessions in 17 out of the 25 patients. The most common ventilation parameter altered was F(i)O2 (n = 20), increased by a mean of +0.17 (95% CI 0.11 to 0.23) above baseline for two hours following HBOT. CONCLUSIONS: Following HBOT, oxygenation is reduced in a majority of mechanically ventilated ICU patients and requires temporary alterations to mechanical ventilation settings. Further study to identify predictive characteristics and to determine causation for those at risk of needing ventilation alterations is required.