Clinical Alarms Research Articles

Multiple Keratoacanthomas Associated with Genetic Syndromes: Narrative Review and Proposal of a Diagnostic Algorithm.

Keratoacanthoma (KA) is a relatively common, fast-growing epithelial tumour, with characteristic behaviour and clinical variability. Although it appears as a solitary lesion in a majority of cases, multiple KAs do occur, secondary to skin exposure to ultraviolet radiation, chemical carcinogens or certain medications, but may also be associated with various genetic syndromes. Thus, multiple KAs may serve as an early clinical alarm sign. Prompt diagnosis of the underlying cause and identification of the mechanism of development are critical for the secondary prevention of associated organ disorders or neoplasias, the improvement of patient quality of life and familial counselling. Although researchin this field has seen important progress in the last few years, there are still many pathogenic processes that have not been elucidated. Additionally, the literature on this topic is limited to individual case reports and small case series, making it difficult for clinicians to parse available data and select the essential information. Therefore, this work aims to review current knowledge, summarizing existing studies, with focus on multiple KAs associated with genetic syndromes, and proposes a diagnostic algorithm for these rare cases to help guide clinicians in their practice. Lastly, we aim to highlight the main gaps in understanding the underlying mechanisms and suggest further research avenues.

Experiences and Challenges for Critical Care Nurses in Work Related to Medical Device Alarms

Critical care nurses, who are at the frontline of recognizing and answering alarms, face various challenges while undertaking this task. The purpose of this qualitative study is to gain more insight into the experiences of critical care nurses working with medical equipment alarms. A qualitative, descriptive design was used to explore this area. Fifteen critical care nurses, recruited using purposive sampling, participated in semistructured interviews. These were recorded and coded, and data were analyzed using content analysis. Four themes and fifteen related subthemes emerged, including: (1) emotional experience (sub: anxiety/dysphoria, helplessness, worry, ambivalence); (2) physical symptoms (sub: hearing disorder, sleep disturbances, exhaustion, inattention); (3) new challenges (sub: multiple nursing roles, inconsistent practice guidelines, unsatisfactory human-machine interaction, nurse attribute); and (4) coping strategies (sub: positive alarm culture, effective teamwork, development of technology). Healthcare administrators should focus not only on the nurses themselves, but also on objective factors such as organization and technology, which contribute to the empowerment of ICU nurses and can encourage them to participate in clinical alarm management.

Alarm fatigue and sleep quality in healthcare workers

Abstract Background Alarm fatigue, a prevalent issue in medical settings, arises when healthcare professionals are exposed to an overwhelming number of clinical alarms, leading to desensitization and decreased responsiveness. The constant alertness required due to medical device alarms in hospitals can severely disrupt the quality of sleep for medical personnel. This study aims to demonstrate whether there is a relationship between alarm fatigue and sleep quality in medical staff. For the research project, it was decided to carry out the study in three European neighbouring countries: Poland, Slovakia and the Czech Republic Methods The the survey was carried out in three European countries: Poland, Slovakia, and the Czechia from June to July 2023. The study was attended by a total of 756 participants. The study used: a socio-demographic metric; Alarm Fatigue Assessment Questionnaire and The Pittsburgh Sleep Quality Index to evaluates sleep quality. Results Among the 756 survey participants, 603 (79.76%) had poor sleep quality (6-21 PSQI points), 147 (19.44%) had good sleep quality (0-5 PSQI points), and 6 (0.79%) did not answer. The analysis of sleep quality scores for participating countries shows that sleep problems were significantly higher in Slovakia and Poland than in the Czech Republic. Alarm fatigue levels were determined for respondents in every country in this study. The statistical difference between countries is significant. In Slovakia and Poland, the levels of alarm fatigue caused by medical devices were significantly higher than in the Czech Republic. With regards to sleep quality, there is a positive correlation between alarm fatigue and sleep problems. A statistically significant positive correlation was obtained for all three countries. Conclusions The study found that workers in the health system are exposed to alarm fatigue, and that this in turn can reduce sleep quality. The consequences of this may be reflected in patient safety. Key messages • The results of the study clearly indicate that quality of work should be ensured by developing protocols for managing medical device alarms. • Combatting alarm fatigue among medical personnel is vital for public health as it reduces medical errors caused by sleep deprivation.

Crying wolf, alarm safety and management in paediatrics: A scoping review.

To provide a contemporaneous evidentiary overview of neonatal and paediatric studies investigating alarm-related patient safety and alarm system management. Furthermore, to describe how clinical alarm burden is captured and reported, to identify clinical devices that contribute to alarm burden, to explore alarm-related and patient safety measures and terminologies and to review alarm management initiatives. Scoping review. A systematic search of PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Scopus and EBSCOhost was conducted from 2013 to 2023 using predetermined search terms, index terms, medical subject headings and truncation. Observational and qualitative studies with neonatal and paediatric populations reporting monitoring and alarm practices; and interventional studies reporting the success of alarm safety interventions were included. The quality of the included studies was assessed using the mixed methods appraisal tool. The search yielded 37 studies of acceptable quality. The majority explored alarm burden associated with physiological monitoring (n = 35; 95%). Alarm definitions were reported in 46% (n = 17) of studies, and commonly included what constituted actionable and non-actionable alarms. While 32% (n = 12) of studies considered alarms in relation to clinical outcomes surrounding patient safety, clinician response to alarms was only reported in 19% (n = 7) of studies. Alarm and monitoring interventions were assessed in 51% (n = 19) of included studies, with categorization into six domains: changing alarm parameters, clinician education, communication and planning, technology, alarm ordering and standardization or guidelines. This review has demonstrated the enormity of alarms in clinical settings, heterogeneity of alarm definitions and outlined interventions associated with alarm burden and patient safety. Strategies to ensure appropriate alarm limits are set and clinicians are empowered through education to recognize and respond appropriately to alarms can maximize patient safety. This review adheres to the preferred reporting items for systematic reviews and meta-analysis protocols extension for scoping reviews. No patient or public contribution.

Alarm fatigue and sleep quality in medical staff-a Polish-Czech-Slovak study on workplace ergonomics.

Alarms are crucial in informing Healthcare Workers (HCWs) about critical patient needs, but unmanaged frequency and noise of alarms can de-sensitize medical staff and compromise patient safety. Alarm fatigue is identified as the major cause of the clinical alarm management problem. It occurs when the medical staff is overwhelmed by the number of clinical alarms. The survey was conducted online using Google's form-making tools from June to July 2023. There were three parts to the survey used in the study: a socio-demographic metric, the Alarm Fatigue Assessment Questionnaire (AFAQ), and The Pittsburgh Sleep Quality Index (PSQI). A significance level of 0.05 was used in the analysis. The survey included 756 medical professionals from three European countries (Slovakia, the Czech Republic and Poland). The participants in the study were 42 years old on average, and they had 12 years of work experience. 603 out of 756 survey participants had poor sleep quality, 147 had good sleep quality, and 6 did not provide an answer. This study analyzed the alarm fatigue levels of respondents in every country. In the Czech Republic, Poland and Slovakia, a statistically significant association (p = 0.039, p = 0.001, p < 0.001) was found between alarm fatigue and sleep quality in medical staff. Based on our study, alarm fatigue and sleep quality of HCWs are correlated. Therefore, alarm fatigue and sleep hygiene should be monitored.

Appropriateness and outcomes of hospitalized patients telemetry monitored for cardiac arrhythmias in accordance with the American Heart Association Practice Standards–A multicenter study

BackgroundTo the best of our knowledge, no prospective research studies have compared clinical practice to the American Heart Association (AHA) updated practice standards for in-hospital telemetry monitoring. ObjectivesOur aims were therefore (1) to investigate how patients were assigned to telemetry monitoring in accordance with the AHA's updated practice standards, (2) to determine the number and type of arrhythmic events, and (3) to describe subsequent changes in clinical management. MethodsThis prospective multicenter study included 1154 patients at three university hospitals in Norway. Data were collected 24/7 over a four-week period, with follow-up measurements from telemetry admission until hospital discharge. ResultsOf patients assigned to telemetry, 67 % (n = 767) met practice standards, corresponding to AHA Class I or II. Patients were predominantly men (65 %, n = 748), and the mean age was 65 years (SD ±16). The study included both patients with cardiac and non-cardiac diagnoses from various medical and surgical departments throughout the hospitals. Ninety-one percent of the patients in Class III were monitored based on indications that were reclassified from Class II to Class III (not indicated) in the updated practice standards (patients admitted with chest pain or post-percutaneous coronary intervention (PCI) without complications). Overall, arrhythmic events occurred in 37 % (n = 424) of patients, and they occurred in all classes. Eighteen percent (n = 59) of arrhythmic events occurred in Class III. Of all arrhythmias, 3 % (n = 14) were life threatening, and all of them occurring within Class I. Telemetry monitoring led to changes in clinical management in 22 % (n = 257) of patients due to clinical alarms, of which 71 % (n = 182) were related to medication management. ConclusionsMost patients were appropriately monitored according to the AHA practice standards, meeting Class I and II. Arrhythmias occurred in all classes, but life-threatening arrhythmias only occurred in patients in Class I. However, a daily re-assessment of each patient's telemetry indication is warranted.

Variations in Alarm Burden, Source, and Cause Across Inpatient Units at a Children's Hospital.

Alarms at hospitals are frequent and can lead to alarm fatigue posing patient safety risks. We aimed to describe alarm burden over a 1-year period and explored variations in alarm rates stratified by unit type, alarm source, and cause. A retrospective study of inpatient alarm and patient census data at 1 children's hospital from January 1, 2019, to December 31, 2019, including 8 inpatient units: 6 medical/surgical unit (MSU), 1 PICU, and 1 NICU. Rates of alarms per patient day (appd) were calculated overall and by unit type, alarm source, and cause. Poisson regression was used for comparisons. There were 7 934 997 alarms over 84 077 patient days (94.4 appd). Significant differences in alarm rates existed across inpatient unit types (MSU 81.3 appd, PICU 90.7, NICU 117.5). Pulse oximetry (POx) probes were the alarm source with highest rate, followed by cardiorespiratory leads (54.4 appd versus 31). PICU had lowest rate of POx alarms (33.3 appd, MSU 37.6, NICU 92.6), whereas NICU had lowest rate of cardiorespiratory lead alarms (16.2 appd, MSU 40.1, PICU 31.4). Alarms stratified by cause displayed variation across unit types where "low oxygen saturation" had the highest overall rate, followed by "technical" alarms (43.4 appp versus 16.3). ICUs had higher rates of low oxygenation saturation alarms, but lower rates of technical alarms than MSUs. Clinical alarms are frequent and vary across unit types, sources, and causes. Unit-level alarm rates and frequent alarm sources (eg, POx) should be considered when implementing alarm reduction strategies.

Attention Among Health Care Professionals : A Scoping Review.

The concept of attention can provide insight into the needs of clinicians and how health systems design can impact patient care quality and medical errors. To conduct a scoping review to 1) identify and characterize literature relevant to clinician attention; 2) compile metrics used to measure attention; and 3) create a framework of key concepts. Cumulated Index to Nursing and Allied Health Literature (CINAHL), Medline (PubMed), and Embase (Ovid) from 2001 to 26 February 2024. English-language studies addressing health care worker attention in patient care. At least dual review and data abstraction. Article information, health care professional studied, practice environment, study design and intent, factor type related to attention, and metrics of attention used. Of 6448 screened articles, 585 met inclusion criteria. Most studies were descriptive (n = 469) versus investigational (n = 116). More studies focused on barriers to attention (n = 387; 342 descriptive and 45 investigational) versus facilitators to improving attention (n = 198; 112 descriptive and 86 investigational). We developed a framework, grouping studies into 6 categories: 1) definitions of attention, 2) the clinical environment and its effect on attention, 3) personal factors affecting attention, 4) relationships between interventions or factors that affect attention and patient outcomes, 5) the effect of clinical alarms and alarm fatigue on attention, and 6) health information technology's effect on attention. Eighty-two metrics were used to measure attention. Does not synthesize answers to specific questions. Quality of studies was not assessed. This overview may be a resource for researchers, quality improvement experts, and health system leaders to improve clinical environments. Future systematic reviews may synthesize evidence on metrics to measure attention and on the effectiveness of barriers or facilitators related to attention. None.

Alarm Configuration in Intensive Care Units of a Corporate Hospital

In intensive care units (ICUs), inappropriate alarm configuration practices pose significant challenges to patient safety and healthcare providers. The current practices lack standardized guidelines, resulting in excessive alarms and alarm fatigue, where healthcare providers become desensitized and may miss critical events. The absence of standardized protocols and ineffective alarm prioritization exacerbate the problem. The present study aims to understand the various alarm configuration practices in the Intensive Care Unit and to proactively evaluate the limitations of clinical alarm systems management. It focused on identifying reasons for the occurrence of nuisance and false alarms, factoring in the proportion of these unnecessary alarms, and chalking out measures to reduce these false and nuisance alarms. After months of ICU observation, Alarm desensitization, and Alarm fatigue came out to be eminent issues in the functioning of an Intensive Care Unit. The clamor of alarms has been demonstrated to hinder patient recovery, lengthen stays, have a poor impact on patient satisfaction, and cause patient anxiety, sleep difficulties, delirium, elevated blood pressure and heart rates, and immune system deterioration. Therefore, fewer alerts and a simpler alarm configuration procedure can aid in better patient outcomes. The response to all alarms is imperative but false and nuisance alarms make it challenging for the nurses to differentiate and respond to genuine alarms. The study focused on identifying reasons for the occurrence of nuisance and false alarms, factoring in the proportion of these unnecessary alarms, and chalking out measures to reduce these false and nuisance alarms. This included a checklist to monitor the alarms in ICUs on a daily basis for various equipment including cardiac monitors, ventilators, dialysis machines, syringe pumps, and infusion pumps. These were monitored for around 5 hours a day and the analysis revealed most of the equipment especially cardiac monitors giving out false and nuisance alarms. A pre-assessment questionnaire was made to assess the knowledge and perception regarding clinical alarms for nurses. The analysis revealed that 40% of nurses could not differentiate between false and nuisance alarms.

Pro-Con Debate: Universal Versus Selective Continuous Monitoring of Postoperative Patients.

In this Pro-Con commentary article, we discuss use of continuous physiologic monitoring for clinical deterioration, specifically respiratory depression in the postoperative population. The Pro position advocates for 24/7 continuous surveillance monitoring of all patients starting in the postanesthesia care unit until discharge from the hospital. The strongest arguments for universal monitoring relate to inadequate assessment and algorithms for patient risk. We argue that the need for hospitalization in and of itself is a sufficient predictor of an individual's risk for unexpected respiratory deterioration. In addition, general care units carry the added risk that even the most severe respiratory events will not be recognized in a timely fashion, largely due to higher patient to nurse staffing ratios and limited intermittent vital signs assessments (e.g., every 4 hours). Continuous monitoring configured properly using a "surveillance model" can adequately detect patients' respiratory deterioration while minimizing alarm fatigue and the costs of the surveillance systems. The Con position advocates for a mixed approach of time-limited continuous pulse oximetry monitoring for all patients receiving opioids, with additional remote pulse oximetry monitoring for patients identified as having a high risk of respiratory depression. Alarm fatigue, clinical resource limitations, and cost are the strongest arguments for selective monitoring, which is a more targeted approach. The proponents of the con position acknowledge that postoperative respiratory monitoring is certainly indicated for all patients, but not all patients need the same level of monitoring. The analysis and discussion of each point of view describes who, when, where, and how continuous monitoring should be implemented. Consideration of various system-level factors are addressed, including clinical resource availability, alarm design, system costs, patient and staff acceptance, risk-assessment algorithms, and respiratory event detection. Literature is reviewed, findings are described, and recommendations for design of monitoring systems and implementation of monitoring are described for the pro and con positions.

Correction: Capturing the attentional response to clinical auditory alarms: An ERP study on priority pulses

Correction: Capturing the attentional response to clinical auditory alarms: An ERP study on priority pulses

Standardization of Outpatient Care after CAR-T Therapy across a Large Cell Therapy Network- through Technology and Decentralized Virtual Nurses: Preliminary Results

Introduction: Shifting Chimeric Antigen Receptor T-cell (CAR-T) therapy to the outpatient setting may increase patient satisfaction and inpatient capacity, and reduce infection risk. Outpatient protocols require resources for patient management outside of clinic hours to be safe and effective. Our Transplant and Cellular Therapy Network (TCTN) leveraged wearable technology and decentralized nurses in four outpatient CAR-T programs. We sought to characterize patient adherence, time spent on patient monitoring, and clinical outcomes. Methods: Patients were deemed eligible for outpatient therapy if they were adults (18+ years), lived within 30-60 minutes of the treating hospital, had a 24/7 caregiver, and received CAR-T with known risks of developing cytokine release syndrome (CRS). The outpatient CAR-T program included enrollment into an FDA-cleared virtual care platform, daily engagement with virtual nurses for the duration of the program, and in-person clinic visits during the highest risk period (Days 1-14). The remote monitoring kit included a wearable device that continuously transmitted vital signs (pulse, respiratory rate, O 2 saturation and skin temperature), a tablet, axillary temperature patch and blood pressure (BP) cuff. Patients were asked to always wear the device outside of clinic visits, take a BP reading 3x/day, and complete surveys via the tablet. A multidisciplinary taskforce established clinical pathways for remote monitoring across sites and developed parameters for alarms, virtual nurse check-ins, and escalation of care to ER/clinic. Virtual nurses contacted patients based on vital sign trends, responded to patient concerns, and triaged in accordance with clinical pathways, escalating as appropriate. The virtual care platform, video and phone call logs with the virtual nurses, and clinical data were extracted for 40 patients between 2/20/23 and 6/15/2023. Inpatient admission, patient adherence, alarms, calls, and clinical metrics were summarized. Non-parametric measures were reported as median (IQR). Metrics for specific windows of time were reported for a subset of variables: wearable adherence (day vs. night) and alarms/calls during clinic hours (weekdays 8 am - 5 pm) vs. non- clinic hours. Adherence was derived from tasks/wear time completed vs. prescribed. Results: Forty patients (66 ± 12 years, 24 male) with diagnoses of Non-Hodgkin Lymphoma (75%), Plasma Cell Disorder (20%), or Acute Lymphoblastic Leukemia (5%) received CAR-T therapy [axi-cel (40%), liso-cel (25%), cilta-cel (20%), brexu-cel (12.5%), tisa-cel (2.5%)] and completed the outpatient CAR-T program. The median length of monitoring on the platform was 14.7 (10.4 - 27.6) days. Overall wearable adherence was 79 (67.7 - 87.9) %; 67 (48.7 - 83.4) % in the day and 89.1 (79.8 - 92.8) % at night. Median survey completion was 50 (7.7 - 80) % and BP compliance was 95 (69.8-100) %. Out of 717 patient days, 68.4% had 100% BP compliance (3 readings/day). There was a total of 780 alarms; 67% operational and 86% clinical alarms occurred during non-clinic hours (Table 1). The operational alarm rate was 0.5 and the clinical alarm rate was 0.6 per patient-day. 75% of patients triggered at least one operational and clinical alarm during their program. The virtual nurses engaged in 1102 calls through the tablet or phone (3.5 ± 3.4 mins). More than half of the calls were during non-clinic hours (63%) and 70% of calls were with a patient/care giver. Calls about a clinical alarm or clinical concern were 3x and 6.8x higher, respectively, during non-clinic hours. Twenty-seven patients required some level of hospital observation service and/or admission to the hospital; 25 patients developed CRS. Median duration from infusion to admission/observation was 5 (1-11) days. Median days to discharge was 5 (1-26). Of those admitted,10 patients were admitted to the ICU with a median stay of 5.5 (1-21) days. Conclusion: Our TCTN established a successful, integrated outpatient management process to ensure patient safety within the first 30 days post CAR T-Cell therapy. The virtual care platform and decentralized virtual nurses have enabled patients to recover safely with more time at home rather than in hospital. Future research will address patient and provider experiences and continue to expand on the safety and resource utilization of this integrated program.

Cellulose-reinforced poly(Ionic Liquids) composite hydrogel for infected wounds therapy and real-time reliable bioelectronic

With the increasing utilization of therapeutic materials in wound care and skin bioelectronics, there is growing requirements for multifunctional hydrogels for personal therapy and health management. However, the limited functionality, mechanical incompatibility, and impracticality of traditional dressings and skin bioelectronics greatly restrict their widespread use in clinical settings. Herein, we fabricate a cellulose nanofibers (CNFs)-reinforced poly(Ionic Liquids) (PILs) composite hydrogel (PACxVy) which can be used as infected wound therapy and real-time reliable bioelectronic. The hydrogel showed an orderly interconnected cellular architecture with excellent stretchability, outstanding elasticity and low hysteresis. As a wound dressing, the hydrogel could provide the adhesion to seal wounds, biocompatibility and outstanding antibacterial activity, enabling the wound dressing to effectively inhibit bacterial growth and accelerate infected wound healing. ILs enables the hydrogel to have high conductivity, outstanding sensing performance and impressive temperature response. Therefore, the hydrogel may also work as novel flexible bioelectronics, which could accurately capture motion signals ranging from large strain to minute physiological signal, such as body movement, heart rate, pulse, and body temperature. Notably, a dual-channel remote clinical alarm system was fabricated by combining the hydrogel with tailor-made single-chip to wireless real-time monitoring of finger joint movement and temperature changes, which could establish a communication channel between patient and wounded and provide effective medical intervention timely. This line of research work sheds light on the hydrogel has significant implications for improving personal therapy and health management.

A Spatiotemporal and Multisensory Approach to Designing Wearable Clinical ICU Alarms.

In health care, auditory alarms are an important aspect of an informatics system that monitors patients and alerts clinicians attending to multiple concurrent tasks. However, the volume, design, and pervasiveness of existing Intensive Care Unit (ICU) alarms can make it difficult to quickly distinguish their meaning and importance. In this study, we evaluated the effectiveness of two design approaches not yet explored in a smartwatch-based alarm system designed for ICU use: (1) using audiovisual spatial colocalization and (2) adding haptic (i.e., touch) information. We compared the performance of 30 study participants using ICU smartwatch alarms containing auditory icons in two implementations of the audio modality: colocalized with the visual cue on the smartwatch's low-quality speaker versus delivered from a higher quality speaker located two feet away from participants (like a stationary alarm bay situated near patients in the ICU). Additionally, we compared participant performance using alarms with two sensory modalities (visual and audio) against alarms with three sensory modalities (adding haptic cues). Participants were 10.1% (0.24s) faster at responding to alarms when auditory information was delivered from the smartwatch instead of the higher quality external speaker. Meanwhile, adding haptic information to alarms improved response times to alarms by 12.2% (0.23s) and response times on their primary task by 10.3% (0.08s). Participants rated learnability and ease of use higher for alarms with haptic information. These small but statistically significant improvements demonstrate that audiovisual colocalization and multisensory alarm design can improve user response times.

Pediatric Characteristics Associated With Higher Rates of Monitor Alarms.

Background: Continuous physiologic monitoring commonly is used in pediatric medical-surgical (med-surg) units and is associated with high alarm burden for clinicians. Characteristics of pediatric patients generating high rates of alarms on med-surg units are not known. Objective: To describe the demographic and clinical characteristics of pediatric med-surg patients associated with high rates of clinical alarms. Methods: We conducted a cross-sectional, single-site, retrospective study using existing clinical and alarm data from a children's hospital. Continuously monitored patients from med-surg units who had available alarm data were included. Negative binomial regression models were used to test the association between patient characteristics and the rate of clinical alarms per continuously monitored hour. Results: Our final sample consisted of 1,569 patients with a total of 38,501 continuously monitored hours generating 265,432 clinical alarms. Peripheral oxygen saturation (SpO2) low alarms accounted for 57.5% of alarms. Patients with medical complexity averaged 11% fewer alarms per hour than those without medical complexity (P < 0.01). Patients older than 5 years had up to 30% fewer alarms per hour than those who were younger than 5 years (P < 0.01). Patients using supplemental oxygen averaged 39% more alarms per hour compared with patients who had no supplemental oxygen use (P < 0.01). Patients at high risk for deterioration averaged 19% more alarms per hour than patients who were not high risk (P = 0.01). Conclusion: SpO2 alarms were the most common type of alarm in this study. The results highlight patient populations in pediatric medical-surgical units that may be high yield for interventions to reduce alarms. Most physiologic monitor alarms in pediatric medical-surgical (med-surg) units are not informative and likely could be safely eliminated to reduce noise and alarm fatigue.1-3 However, identifying and sustaining successful alarm-reduction strategies is a challenge. Research shows that 25% of patients in pediatric med-surg units produce almost three-quarters of all alarms.4 These patients are a potential high-yield target for alarm-reduction strategies; however, we are not aware of studies describing characteristics of pediatric patients generating high rates of alarms. The patient populations seen on pediatric med-surg units are diverse. Children of all ages are cared for on these units, with diagnoses ranging from acute respiratory infections, to management of chronic conditions, and to psychiatric conditions. Not all patients on pediatric med-surg units have physiologic parameters continuously monitored,4 but among those who do, understanding patient characteristics associated with high rates of alarms may help clinicians, healthcare technology management (HTM) professionals, and others working on alarm management strategies to develop targeted interventions. We conducted an exploratory retrospective study to describe patient characteristics associated with high rates of alarms in pediatric med-surg units.

PERCEIVED STRESS AND ALARM FATIGUE AMONG NURSES DEALING WITH CRITICALLY ILL PATIENTS: A CROSS SECTIONAL STUDY

Nurses are exposed to many clinical monitoring alarms in managing critically ill patients, gradually leading to emotional exhaustion and burnout. This situation is called alarm fatigue, where nurses tend to do inappropriate actions to silence the alarms or adjust them outside the appropriate limits. Thus, this study aims to explore stress and alarm fatigue among staff nurses dealing with critically ill patients. A cross-sectional study was conducted among 114 nurses dealing with critically ill patients (ICU/CCU/HDU/NICU, and A&amp;E) in a private hospital in Kuala Lumpur. Using purposive sampling, participants who met inclusion and exclusion criteria were asked to fill up a questionnaire consisting of sociodemographic data, a nursing stress scale, and an alarm fatigue questionnaire. After 30 minutes, the questionnaire was collected. Most nurses dealing with critically ill patients reported a low level of stress (65.8%) and alarm fatigue (69.3%). Based on study findings, subscale workload was identified as the primary source of stress (Mean = 2.516, SD = 0.484). Meanwhile, education level and working shift are the only sociodemographic characteristics associated with stress and alarm fatigue (p &lt; 0.05). However, no significant correlation was seen between stress and alarm fatigue, and this revealed a weak correlation between these two variables (r = 0.078, p = 0.411). Stress and alarm fatigue was found statistically not significant towards each other. Future studies should explore different risk factors associated with alarm fatigue among nurses dealing with critically ill patients.

Remote patient monitoring to facilitate same-day discharge after laparoscopic sleeve gastrectomy: a pilot evaluation.

Limited hospital inpatient capacity, exacerbated by SARS-CoV-2 (COVID-19) and associated staffing shortages, has driven interest in converting surgeries historically done as inpatient procedures to same-day surgeries (SDS). Remote patient monitoring (RPM) has the potential to increase safety and confidence in SDS but has had mixed success in a bariatric population. Assess the feasibility of and adherence to a protocol offering patients same-day laparoscopic sleeve gastrectomy (SG) supported by RPM with an updated wearable device. Secondary outcomes were readmissions, costs, adherence, and clinical alarm rates. Academic, military tertiary referral center (United States). A single-center, retrospective case control study of patients undergoing SG, comparing SDS with RPM to patients admitted to the hospital for SG during this time. Patients for SDS were selected by set inclusion/exclusion criteria and patient/surgeon preference, and perioperative management was standardized. Twenty patients were enrolled in the SDS group, then compared with 53 inpatients. Inpatients were older (46 versus 39, P = .006), but with no significant differences in sex, preoperative body mass index, or co-morbidities. RPM wearable and blood pressure adherence was found to be 97% and 80%, respectively. Readmission rates were similar (10% versus 7.5%, P > .05). RPM alarm rates were .5 (0-1.3) per patient for each 24-hour home monitoring period. SDS patients also demonstrated the potential for cost savings over inpatient SG, depending on the number of patients monitored per day as well as the healthcare setting. SG as SDS with RPM was a feasible approach. It should be evaluated in other surgical procedures and higher-risk patient populations.

A brief questionnaire for measuring alarm fatigue in nurses and physicians in intensive care units

When exposed to hundreds of medical device alarms per day, intensive care unit (ICU) staff can develop “alarm fatigue” (i.e., desensitisation to alarms). However, no standardised way of quantifying alarm fatigue exists. We aimed to develop a brief questionnaire for measuring alarm fatigue in nurses and physicians. After developing a list of initial items based on a literature review, we conducted 15 cognitive interviews with the target group (13 nurses and two physicians) to ensure that the items are face valid and comprehensible. We then asked 32 experts on alarm fatigue to judge whether the items are suited for measuring alarm fatigue. The resulting 27 items were sent to nurses and physicians from 15 ICUs of a large German hospital. We used exploratory factor analysis to further reduce the number of items and to identify scales. A total of 585 submissions from 707 participants could be analysed (of which 14% were physicians and 64% were nurses). The simple structure of a two-factor model was achieved within three rounds. The final questionnaire (called Charité Alarm Fatigue Questionnaire; CAFQa) consists of nine items along two scales (i.e., the “alarm stress scale” and the “alarm coping scale”). The CAFQa is a brief questionnaire that allows clinical alarm researchers to quantify the alarm fatigue of nurses and physicians. It should not take more than five minutes to administer.

Decreasing inconsistent alarms notifications: a pragmatic clinical trial in a post-anesthesia care unit

BackgroundAlarms alert healthcare professionals of deviations from normal/physiologic status. However, alarm fatigue may occur when their high pitch and diversity overwhelm clinicians, possibly leading to alarms being disabled, paused, and/or ignored. We aimed to determine whether a staff educational program on customizing alarm settings of bedside monitors may decrease inconsistent alarms in the Post-Anesthesia Care Unit (PACU). MethodsThis is a prospective, analytic, quantitative, pragmatic, open-label, single-arm study. The outcome was evaluated on PACU admission before (P1) and after (P2) the implementation of the educational program. The heart rate, blood pressure, and oxygen saturation alarms were selected for clinical consistency. ResultsA total of 260 patients were included and 344 clinical alarms collected, with 270 (78.4%) before (P1), and 74 (21.6%) after (P2) the intervention. Among the 270 alarms in P1, 45.2% were inconsistent (i.e., false alarms), compared to 9.4% of the 74 in P2. Patients with consistent alarms occurred in 30% in the P1 and 27% in the P2 (p = 0.08). Patients with inconsistent alarms occurred in 25.4% in the P1 and in 3.8% in the P2. Ignored consistent alarms were reduced from 21.5% to 2.6% (p = 0.004) in the P2 group. The educational program was a protective factor for the inconsistent clinical alarm (OR = 0.11 [95% CI 0.04–0.3]; p < 0.001) after adjustments for age, gender, and ASA physical status. ConclusionCustomizing alarm settings on PACU admission proved to be a protective factor against inconsistent alarm notifications of multiparametric monitors.

Surveillance and patient safety in nursing research: A bibliometric analysis from 1993 to 2023.

To identify and characterize the thematic foci, structure and evolution of nursing research on surveillance and patient safety. Bibliometric analysis. Bibliometric methods were employed to analyse 1145 articles, using Bibliometrix and VOSviewer software. The Scopus bibliographic database was searched on April 7, 2023. A keyword co-occurrence analysis found the most frequently occurring keywords to be: patient safety, nursing, nurses, adverse events, monitoring, critical care, quality improvement, vital signs, safety, alarm fatigue, education, nursing care, surveillance, clinical alarms, failure to rescue, evidence-based practice, acute care, clinical deterioration, communication, intensive care. Network mapping, clustering and time-tracking of the keywords revealed the focal themes, structure and evolution of the research field. By assessing critical areas of the nursing research field, this study extends and enriches the current discourse on surveillance and patient safety for nursing researchers and practitioners. Critical challenges still have to be met by nurses, however, including the failure to rescue deteriorating patients. Further knowledge and understanding of surveillance and patient safety must be successfully translated from research to practice. This study highlights the gaps in nursing knowledge with regard to surveillance and patient safety and encourages nursing professionals to turn to evidence-based surveillance practices. In addressing the problem of surveillance and its effect on patient safety, this study found that, in most clinical care settings, preventing failures to rescue and adverse patient outcomes still remains a challenge for the nursing profession. This study should have an impact on nursing academics' future research themes and on nursing professionals' future clinical practices. Relevant EQUATOR guidelines have been adhered to by employing recognized bibliometric reporting methods.