Medication Safety Amid Technological Change: Usability Evaluation to Inform Inpatient Nurses' Electronic Health Record System Transition.

BACKGROUND: Electronic health record (EHR) system transitions are challenging for healthcare organizations. High-volume, safety-critical tasks like barcode medication administration (BCMA) should be evaluated, yet standards for ensuring safety during transition have not been established. OBJECTIVE: Identify risks in common and problem-prone medication tasks to inform safe transition between BCMA systems and establish benchmarks for future system changes. DESIGN: Staff nurses completed simulation-based usability testing in the legacy system (R1) and new system pre- (R2) and post-go-live (R3). Tasks included (1) Hold/Administer, (2) IV Fluids, (3) PRN Pain, (4) Insulin, (5) Downtime/PRN, and (6) Messaging. Audiovisual recordings of task performance were systematically analyzed for time, navigation, and errors. The System Usability Scale measured perceived usability and satisfaction. Post-simulation interviews captured nurses' qualitative comments and perceptions of the systems. PARTICIPANTS: Fifteen staff nurses completed 2-3-h simulation sessions. Eleven completed both R1 and R2, and seven completed all three rounds. Clinical experience ranged from novice (< 1 year) to experienced (> 10 years). Practice settings included adult and pediatric patient populations in ICU, stepdown, and acute care departments. MAIN MEASURES: Task completion rates/times, safety and non-safety-related use errors (interaction difficulties), and user satisfaction. KEY RESULTS: Overall success rates remained relatively stable in all tasks except two: IV Fluids task success increased substantially (R1: 17%, R2: 54%, R3: 100%) and Downtime/PRN task success decreased (R1: 92%, R2: 64%, R3: 22%). Among the seven nurses who completed all rounds, overall safety-related errors decreased 53% from R1 to R3 and 50% from R2 to R3, and average task times for successfully completed tasks decreased 22% from R1 to R3 and 38% from R2 to R3. CONCLUSIONS: Usability testing is a reasonable approach to compare different BCMA tasks to anticipate transition problems and establish benchmarks with which to monitor and evaluate system changes going forward.

Promoting patient and nurse safety: testing a behavioural health intervention in a learning healthcare system: results of the DEMEANOR pragmatic, cluster, cross-over trial.

BACKGROUND: Based on clinical staff safety within a learning healthcare system, the purpose of this study was to test an innovative model of care for addressing disruptive behaviour in hospitalised patients to determine whether it should be scaled up at the system level. METHODS: The Disruptive bEhaviour manageMEnt ANd prevention in hospitalised patients using a behaviOuRal (DEMEANOR) intervention team was a pragmatic, cluster, cross-over trial. A behavioural intervention team (BIT) with a psychiatric mental health advanced practice nurse and a social worker, with psychiatrist consultation, switched between units each month and occurrences of disruptive behaviours (eg, documented violence control measures, violence risk) compared. Nursing surveys assessed self-perceived efficacy and comfort managing disruptive patient behaviour. RESULTS: A total of 3800 patients hospitalised on the two units met the criteria for inclusion. Of those, 1841 (48.4%) were exposed to the BIT intervention and 1959 (51.6%) were in the control group. A total of 11 132 individual behavioural issues associated with 203 patient encounters were documented. There were no differences in the use of behavioural interventions, violence risk or injurious behaviour or sitter use between patients exposed to BIT and those in the control group. Tracking these data did rely on nursing documentation of such events. Nurses (82 pre and 48 post) rated BIT as the most beneficial support they received to manage patients exhibiting disruptive, threatening or acting out behaviour. CONCLUSIONS: The BIT intervention was perceived as beneficial by nurses in preparing them to provide care for patients exhibiting disruptive, threatening or acting out behaviour, but documented patient behaviour was not observed to change. TRIAL REGISTRATION NUMBER: NCT03777241.

The Disruptive bEhavior manageMEnt ANd prevention in hospitalized patients using a behaviORal intervention team (DEMEANOR) study protocol: a pragmatic, cluster, crossover trial.

BACKGROUND: Disruptive behavior in hospitalized patients has become a priority area of safety concern for clinical staff, and also has consequences for patient management and hospital course. Proactive screening and intervention of patients with behavioral comorbidities has been reported to reduce disruptive behavior in some settings, but it has not been studied in a rigorous way. METHODS: The Disruptive bEhavior manageMEnt ANd prevention in hospitalized patients using a behaviORal intervention team (DEMEANOR) study is a pragmatic, cluster, crossover trial that is being conducted. Each month, the behavioral intervention team, comprising a psychiatric-mental health advanced practice nurse and a clinical social worker, with psychiatrist consultation as needed, rotates between an adult medicine unit and a mixed cardiac unit at Vanderbilt University Medical Center in Nashville, TN, USA. The team proactively screens patients upon admission, utilizing a protocol which includes a comprehensive chart review and, if indicated, a brief interview, seeking to identify those patients who possess risk factors indicative of either a potential psychological barrier to their own clinical progress or a potential risk for exhibiting disruptive, aggressive, or self-injurious behavior during their hospitalization. Once identified, the team provides interventions aimed at mitigating these risks, educates and supports the patient care teams (nurses, physicians, and others), and assists non-psychiatric staff in the management of patients who require behavioral healthcare. Patients who are both admitted to and discharged from either unit are included in the study. Anticipated enrollment is approximately 1790 patients. The two primary outcomes are (1) a composite of objective measures related to the patients' disruptive, threatening, or acting out behaviors, and (2) staff self-reported comfort with and confidence in their ability to manage patients exhibiting disruptive, threatening, or acting out behavior. Secondary outcomes include patient length of stay, patient attendant (sitter) use, and the unit nursing staff retention. DISCUSSION: This ongoing trial will provide evidence on the real-world effectiveness of a proactive behavioral intervention to prevent disruptive, threatening, or acting out events in adult hospitalized patients. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03777241. Registered on 14 December 2018.

A Multi-hospital Before-After Observational Study Using a Point-Prevalence Approach with an Infusion Safety Intervention Bundle to Reduce Intravenous Medication Administration Errors.

INTRODUCTION: We previously found a high rate of errors in the administration of intravenous medications using smart infusion pumps. OBJECTIVES/DESIGN: An infusion safety intervention bundle was developed in response to the high rate of identified errors. A before-after observational study with a prospective point-prevalence approach was conducted in nine hospitals to measure the preliminary effects of the intervention. MAIN OUTCOME MEASURES: Primary outcome measures were overall errors and medication errors, with the secondary outcome defined as potentially harmful error rates. RESULTS: We assessed a total of 418 patients with 972 medication administrations in the pre-intervention period and 422 patients with 1059 medication administrations in the post-intervention period. The overall error rate fell from 146 to 123 per 100 medication administrations (p < 0.0001), and the medication error rate also decreased from 39 to 29 per 100 medication administrations (p = 0.001). However, there was no significant change in the potentially harmful error rate (from 0.5 to 0.8 per 100 medication administrations, p = 0.37). An intervention component aiming to reduce labeling-not-completed errors was effective in reducing targeted error rates, but other components of the intervention bundle did not show significant improvement in the targeted errors. CONCLUSION: Development and implementation of the intervention bundle was successful at reducing overall and medication error rates, but some errors remained and the potentially harmful error rate did not change. The error-rate reductions were not always correlated with the specific individual interventions. Further investigation is needed to identify the best strategies to reduce the remaining errors. CLINICAL TRIALS REGISTRATION: Registered at ClinicalTrials.gov, identifier: NCT02359734.

Population health: a nursing action plan.

The passage of the Affordable Care Act shifted the focus of health care from individual, patient specific, episodic care, towards health management of groups of people with an emphasis on primary and preventive care. Population health management assists to attain and maintain health while improving quality and lowering costs. The recent Catalyst for Change report creates an urgent call for harnessing the power of nurses-in our communities, schools, businesses, homes and hospitals-to build capacity for population health. Informatics Nurse Specialists are prepared to bridge roles across practice, research, education, and policy to support this call. Each year, the AMIA Nursing Informatics Working Group convenes an expert panel to reflect on the "hot topics" of interest to nursing. Not surprisingly, the 2017 topic was on the current state and challenges of population health. The following summary reflects the panel's perspectives and recommendations for action.

The frequency of intravenous medication administration errors related to smart infusion pumps: a multihospital observational study.

INTRODUCTION: Intravenous medication errors persist despite the use of smart pumps. This suggests the need for a standardised methodology for measuring errors and highlights the importance of identifying issues around smart pump medication administration in order to improve patient safety. OBJECTIVES: We conducted a multisite study to investigate the types and frequency of intravenous medication errors associated with smart pumps in the USA. METHODS: 10 hospitals of various sizes using smart pumps from a range of vendors participated. Data were collected using a prospective point prevalence approach to capture errors associated with medications administered via smart pumps and evaluate their potential for harm. RESULTS: A total of 478 patients and 1164 medication administrations were assessed. Of the observed infusions, 699 (60%) had one or more errors associated with their administration. Identified errors such as labelling errors and bypassing the smart pump and the drug library were predominantly associated with violations of hospital policy. These types of errors can result in medication errors. Errors were classified according to the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP). 1 error of category E (0.1%), 4 of category D (0.3%) and 492 of category C (excluding deviations of hospital policy) (42%) were identified. Of these, unauthorised medication, bypassing the smart pump and wrong rate were the most frequent errors. CONCLUSION: We identified a high rate of error in the administration of intravenous medications despite the use of smart pumps. However, relatively few errors were potentially harmful. The results of this study will be useful in developing interventions to eliminate errors in the intravenous medication administration process.

Factors Contributing to CPOE Opiate Allergy Alert Overrides.

CONTEXT: Increasing regulatory incentives to computerize provider order entry (CPOE) and connect stores of unvalidated allergy information with the electronic health record (EHR) has created a perfect storm to overwhelm clinicians with high volumes of low or no value drug allergy alerts. Data sources include the patient and family, non-clinical staff, nurses, physicians and medical record sources. There has been little written on how to collect hypersensitivity information suited for drug allergy alerting. Opiates in particular are a frequently ordered class of drugs that have one of the highest rates of allergy alert override and are often a component of pre-populated Computerized Provider Order Entry (CPOE) order sets. Targeted research is needed to reduce alert volume, increase clinician acceptance, and improve patient safety and comfort. DESIGN SETTING AND PATIENTS: An FY10 retrospective, quantitative analysis of 30321 unique adults with opiate allergies triggering CPOE alerts at a large academic medical center. MEASUREMENTS: The prevalence of opiates ordered with opiate allergy alerts triggered and overridden is described. The effect of age, race, gender, visit type (medical, procedural), provider type (physician, advance practice nurse), and reaction/severity (e.g. nausea/mild) on the likelihood of provider override of the patient's first opiate alert was analyzed using Generalized Estimating Equations (GEE). RESULTS: Analysis of a patient's first opiate allergy alert (n=2767) showed that only prescriber role had a significant effect on alert override compared with all other variables in the model. Advanced practice nurses (APNs) were generally less likely to override the patient's first opiate alert as compared to physicians (GEE, ß=-.793, ß=.001). However, override rates remained high, with 80% for APN's and 90% for physicians. Over half of all discharges had opiates ordered during their stay. Of those, 9.1% of the patients had recorded opiate allergies triggering 25461 CPOE opiate allergy alerts. The largest sub-group of alerts was triggered by gastrointestinal (GI) "allergies" such as nausea and constipation. Removing these types of non-allergic, low severity GI reactions from the alert pool reduced the first alert volume by 15% and the overall alert volume by 22%. Of note is that a history of codeine allergy triggered a significant volume of opiate alerts, yet was rarely ordered. CONCLUSION: With an increasingly complex, information dependent healthcare culture, clinicians do not have unlimited time and cognitive capacity to interpret and effectively act on high volumes of low value alerts. Drug allergy alerting was one of the earliest and supposedly simplest forms of CPOE clinical decision support (CDS), yet still has unacceptably high override rates. Targeted strategies to exclude GI non-allergic type hypersensitivities, mild overdose, or adverse effects could yield large reductions in overall drug overrides rates. Explicit allergy and severity definitions, staff training, and improved clinical decision support at the point of allergy data input are needed to inform how we process new and re-process historical allergy data.