Bacterial Contamination of Environmental Surfaces of Veterinary Rehabilitation Clinics.

The presence of potentially pathogenic bacteria on veterinary clinic surfaces may be problematic. In this study, we collected swab samples (Fisherbrand, double transport swabs with Stuart's liquid medium) and water samples from five veterinary rehabilitation clinics. Swabs and water samples were transported to a microbiology lab for processing. At the lab, swabs were used to inoculate Hardy's Cdiff Banana Broth (for Clostridium difficile [Cdiff]) and five different types of bacterial growth media, including Hardy CHROM MRSA agar (methicillin-resistant Staphylococcus aureus [MRSA] and S. pseudintermedius [SIM]), mannitol salt agar (S. aureus [SA]), eosin methylene blue agar (enterics [ENT]), Pseudomonas isolation agar (Pseudomonas spp. [PS]), and tryptic soy agar [TSA] (non-specific). The most prominent presumptive species cultured was Cdiff (on nearly 55% of swabs). Bacillus spp. and enteric bacteria were encountered on nearly 35% of swabs, with MRSA and SIM on just over 10% of swabs. The most contaminated sample site was harnesses/life jackets used with the underwater treadmill (33% of swabs). The underwater treadmill water had total bacterial counts from 1,600 to 2,800 cfu/mL. Of all presumptive bacterial species detected, SIM tends to be more pathogenic for dogs. Targeted cleaning/disinfecting in these clinics could help reduce risks for both animals and caregivers utilizing these clinics.

Outcomes from an Early Adopters Home Hospital Accelerator for Acute Care at Home.

BACKGROUND: Following the Centers for Medicare and Medicaid Services' approval of the Acute Hospital Care at Home waiver, an increasing number of health care organizations launched Home Hospital (HH) programs in the USA. Ongoing barriers include access to HH expertise and a standard, comprehensive set of implementation tools. We created the HH Early Adopters Accelerator to bring together a network of health care organizations to develop tools ("knowledge products") necessary for HH implementation. OBJECTIVE: To demonstrate the feasibility of the Accelerator approach for generating and implementing relevant, high-quality knowledge products. DESIGN: Mixed methods evaluation of the Accelerator. Surveys and qualitative interviews of Accelerator participants were conducted. Surveys elicited feedback on the knowledge products, including time spent on development, perceived utility and quality, and implementation success. The qualitative interviews gathered more in-depth information on topics covered in the surveys. PARTICIPANTS: Eighteen healthcare organizations and 105 individuals participated in the Accelerator. KEY RESULTS: The Accelerator reached its goal and developed 20 knowledge products in 32 working weeks (more efficient than expected). Participants agreed that the knowledge products were useful (developers: 98.1%; stakeholders: 93.8%), of high quality (developers: 96.8%), and would improve patient care if implemented in their HH program (developers: 91.7%; stakeholders: 91.2%). Two thirds (66.7%) of the participating organizations who had implemented knowledge products at 3 months continued utilizing knowledge products in their HH program at 1 year. Agreement that knowledge products improve patient care persisted (92% strongly agreed or agreed) at 1 year. Several programs created new tools, policies, and workflows as a result of implementing the knowledge products. CONCLUSIONS: The Accelerator created high-quality, comprehensive knowledge products that healthcare organizations found useful for safe HH implementation 1 year later. The Accelerator approach can feasibly help healthcare organizations safely bridge the gap between innovation and standard practice.

Evaluating the effects of two different kinesiology taping techniques on shoulder range of motion and proprioception in patients with hypermobile Ehlers-Danlos syndrome: a randomized controlled trial.

Background: Ehlers-Danlos syndrome (EDS) is a common group of inherited connective tissue disorders with a prevalence as high as 0.75%-2% of the population. Physical manifestations include pain and decreased proprioception, especially in more mobile joints, such as the shoulder. The kinesiology tape (K-Tape) is often used to treat patients with shoulder dysfunction. The effectiveness of the K-Tape is uncertain, and there is a lack of studies specifically studying the K-Tape in an EDS population. Purpose: The purpose of this study was to compare the short-term effects of two different K-Tape procedures on shoulder active joint reposition (AJR) and active range of motion (AROM) in patients with hypermobile EDS (hEDS) and shoulder pain. Methods: All participants were recruited from the EDS support groups and presented with shoulder pain. Baseline demographic information was obtained for each participant, after which AROM and AJR were assessed. The participants were randomized to receive one of two K-Tape procedures. Testing was repeated immediately post-taping and 48 h post-taping. Results: Significant improvements in shoulder external (F = 10.917, p < 0.001) and internal (F = 11.736, p < 0.001) rotations were seen from baseline to immediately post-taping and baseline to 48 h post-taping in the experimental K-Tape group. There were no significant differences in the shoulder rotation in the control K-Tape group and no significant differences in either group for shoulder flexion or AJR at any time point (p > 0.05). Conclusion: K-Tape may offer short-term improvements in shoulder rotation AROM in patients with hEDS and shoulder pain.

The Safety of Outpatient Health Care : Review of Electronic Health Records.

BACKGROUND: Despite considerable emphasis on delivering safe care, substantial patient harm occurs. Although most care occurs in the outpatient setting, knowledge of outpatient adverse events (AEs) remains limited. OBJECTIVE: To measure AEs in the outpatient setting. DESIGN: Retrospective review of the electronic health record (EHR). SETTING: 11 outpatient sites in Massachusetts in 2018. PATIENTS: 3103 patients who received outpatient care. MEASUREMENTS: Using a trigger method, nurse reviewers identified possible AEs and physicians adjudicated them, ranked severity, and assessed preventability. Generalized estimating equations were used to assess the association of having at least 1 AE with age, sex, race, and primary insurance. Variation in AE rates was analyzed across sites. RESULTS: The 3103 patients (mean age, 52 years) were more often female (59.8%), White (75.1%), English speakers (90.8%), and privately insured (70.4%) and had a mean of 4 outpatient encounters in 2018. Overall, 7.0% (95% CI, 4.6% to 9.3%) of patients had at least 1 AE (8.6 events per 100 patients annually). Adverse drug events were the most common AE (63.8%), followed by health care-associated infections (14.8%) and surgical or procedural events (14.2%). Severity was serious in 17.4% of AEs, life-threatening in 2.1%, and never fatal. Overall, 23.2% of AEs were preventable. Having at least 1 AE was less often associated with ages 18 to 44 years than with ages 65 to 84 years (standardized risk difference, -0.05 [CI, -0.09 to -0.02]) and more often associated with Black race than with Asian race (standardized risk difference, 0.09 [CI, 0.01 to 0.17]). Across study sites, 1.8% to 23.6% of patients had at least 1 AE and clinical category of AEs varied substantially. LIMITATION: Retrospective EHR review may miss AEs. CONCLUSION: Outpatient harm was relatively common and often serious. Adverse drug events were most frequent. Rates were higher among older adults. Interventions to curtail outpatient harm are urgently needed. PRIMARY FUNDING SOURCE: Controlled Risk Insurance Company and the Risk Management Foundation of the Harvard Medical Institutions.

Implementation of Agile in healthcare: methodology for a multisite home hospital accelerator.

BACKGROUND: The diffusion of innovation in healthcare is sluggish. Evidence-based care models and interventions take years to reach patients. We believe the healthcare community could deliver innovation to the bedside faster if it followed other sectors by employing an organisational framework for efficiently accomplishing work. Home hospital is an example of sluggish diffusion. This model provides hospital-level care in a patient's home instead of in a traditional hospital with equal or better outcomes. Home hospital uptake has steadily grown during the COVID-19 pandemic, yet barriers to launch remain for healthcare organisations, including access to expertise and implementation tools. The Home Hospital Early Adopters Accelerator was created to bring together a network of healthcare organisations to develop tools necessary for programme implementation. METHODS: The accelerator used the Agile framework known as Scrum to rapidly coordinate work across many different specialised skill sets and blend individuals who had no experience with one another into efficient teams. Its goal was to take 40 weeks to develop 20 'knowledge products',or tools critical to the development of a home hospital programme such as workflows, inclusion criteria and protocols. We conducted a mixed-methods evaluation of the accelerator's implementation, measuring teams' productivity and experience. RESULTS: 18 healthcare organisations participated in the accelerator to produce the expected 20 knowledge products in only 32 working weeks, a 20% reduction in time. Nearly all (97.4%) participants agreed or strongly agreed the Scrum teams worked well together, and 96.8% felt the teams produced a high-quality product. Participants consistently remarked that the Scrum team developed products much faster than their respective organisational teams. The accelerator was not a panacea: it was challenging for some participants to become familiar with the Scrum framework and some participants struggled with balancing participation in the Accelerator with their job duties. CONCLUSIONS: Implementation of an Agile-based accelerator that joined disparate healthcare organisations into teams equipped to create knowledge products for home hospitals proved both efficient and effective. We demonstrate that implementing an organisational framework to accomplish work is a valuable approach that may be transformative for the sector.

Hospital-Level Care at Home for Patients with Cirrhosis.

BACKGROUND: Patients with cirrhosis have a 30-day readmission rate of over 30%. Novel care delivery models are needed to reduce healthcare costs and utilization associated with cirrhosis care. One such model is Home Hospital (HH), which provides inpatient-level care at home. Limited evidence currently exists supporting HH for cirrhosis patients. AIMS: The aims of this study were to characterize patients with cirrhosis who received hospital-level care at home in a two-site clinical trial and to describe the care they received. Secondary aims included describing their outcomes, including adverse events, readmissions and mortality. METHODS: We identified all patients with cirrhosis who enrolled in HH as part of a two-site clinical trial between 2017 and 2022. HH services include daily clinician visits, intravenous and oral medications, continuous vital sign monitoring, and telehealth specialist consultation. We collected sociodemographic data and analyzed HH stays, including interventions, outcomes, adverse events, and follow-up. RESULTS: 22 patients with cirrhosis (45% Hispanic; 50% limited English proficiency, median MELD-Na 12) enrolled in HH during the study period. Interventions included lab chemistries (82%), intravenous medications (77%), specialist consultation (23%), and advanced diagnostics/procedures (23%). The median length of stay was 7 days (IQR 4-12); 186 bed-days were saved. Two patients (9%) experienced adverse events (AKI). No patients required escalation of care; 9% were readmitted within 30 days. CONCLUSIONS: In this two-site study, HH was feasible for patients with cirrhosis, holding promise as a hepatology delivery model. Future randomized trials are needed to further evaluate the efficacy of HH for patients with cirrhosis.

Patient Safety Indicators During the Initial COVID-19 Pandemic Surge in the United States.

OBJECTIVE: The COVID-19 pandemic presented a challenge to inpatient safety. It is unknown whether there were spillover effects due to COVID-19 into non-COVID-19 care and safety. We sought to evaluate the changes in inpatient Agency for Healthcare Research and Quality patient safety indicators (PSIs) in the United States before and during the first surge of the pandemic among patients admitted without COVID-19. METHODS: We analyzed trends in PSIs from January 2019 to June 2020 in patients without COVID-19 using data from IBM MarketScan Commercial Database. We included members of employer-sponsored or Medicare supplemental health plans with inpatient, non-COVID-19 admissions. The primary outcomes were risk-adjusted composite and individual PSIs. RESULTS: We analyzed 1,869,430 patients admitted without COVID-19. Among patients without COVID-19, the composite PSI score was not significantly different when comparing the first surge (Q2 2020) to the prepandemic period (e.g., Q2 2020 score of 2.46 [95% confidence interval {CI}, 2.34-2.58] versus Q1 2020 score of 2.37 [95% CI, 2.27-2.46]; P = 0.22). Individual PSIs for these patients during Q2 2020 were also not significantly different, except in-hospital fall with hip fracture (e.g., Q2 2020 was 3.42 [95% CI, 3.34-3.49] versus Q4 2019 was 2.45 [95% CI, 2.40-2.50]; P = 0.01). CONCLUSIONS: The first surge of COVID-19 was not associated with worse inpatient safety for patients without COVID-19, highlighting the ability of the healthcare system to respond to the initial surge of the pandemic.

Dorsal-to-palmar branch neuroanastomosis in horses undergoing palmar digital neurectomy does not reduce neuroma formation or improve outcome.

OBJECTIVE: Chronic foot pain, a common cause of forelimb lameness, can be treated by palmar digital neurectomy (PDN). Complications include neuroma formation and lameness recurrence. In humans, neuroanastomoses are performed to prevent neuroma formation. The aim of the study was to evaluate the outcome of horses undergoing dorsal-to-palmar branch neuroanastomosis following PDN. STUDY DESIGN: Retrospective case series. ANIMALS: Eighty-five horses with PDN and dorsal-to-palmar branch neuroanastomosis. METHODS: Medical records for horses undergoing this procedure at two hospitals between 2015 and 2020 were reviewed. Palmar and dorsal nerve branches of the PDN were transected and end-to-end neuroanastomosis was performed by apposition of the perineurium. Follow-up was obtained from medical records and telephone interviews. Success was defined as resolution of lameness for at least one year. RESULTS: Lameness resolved following surgery in 81/85 (95%) horses with 57/84 (68%) sound at one year. Postoperative complications occurred in 19/85 (22%) cases. The main limitations of the study were an incomplete data set, inaccurate owner recall, and variations in procedure. CONCLUSION: Compared to previous studies, this technique resulted in similar numbers of horses sound immediately after surgery, a comparable rate of postoperative neuroma formation but a higher recurrence of lameness rate at 1 year postoperatively. CLINICAL SIGNIFICANCE: End-to-end neuroanastomosis of the dorsal and palmar branches of the PDN does not reduce the rate of neuroma formation in horses. Long-term outcome was less favorable compared to previously reported PDN techniques.

Hospital-Level Care at Home for Acutely Ill Adults in Rural Settings: Proof of Concept.

Residents in rural areas face barriers to accessing acute care. Rural home hospital (RHH) or delivery of acute care at home could represent an important clinical care model. This study assessed the feasibility and acceptability of RHH as a substitute to traditional hospital care. Patients were cared for by a remote RHH attending physician and an RHH registered nurse deployed to the home. The study team conducted daily check-ins with RHH clinicians to assess workflows for completion. Surveys assessed patient experience and qualitative interviews assessed perceived acceptability, safety, and quality of care. We completed qualitative analysis of the interviews and coded qualitative data into domains and subdomains through an iterative process. RHH was successfully deployed to three acutely ill patients in rural Utah. RHH admission, daily care, and discharge processes were accomplished for each patient. From qualitative analysis, we identified four domains: (1) Perceived comfort level during RHH admission, (2) Perceived safety during RHH admission, (3) Perceived quality of care during RHH admission, and (4) Perception of RHH workflows. We found acute care was delivered to rural homes with satisfactory patient and clinician experience. Team dynamics, technology build, robust clinical and operational workflows, and care coordination were important to a successful admission. Learnings from this study can inform program design and training for RHH teams and startup for larger RHH evaluation. Home hospital care is expanding rapidly in the United States and RHH could represent an important clinical care model.

Characteristics of Vitamin A Deficiency Retinopathy at a Tertiary Referral Center in the United States.

PURPOSE: To explore the risk factors and fundus imaging features of vitamin A deficiency retinopathy (VADR) in an academic tertiary referral center in Atlanta, GA, United States, and to propose guidance regarding diagnostic workup and management of affected patients. DESIGN: Single-center retrospective case series. SUBJECTS: Nine patients seen between 2015 and 2021 at the Emory Eye Center diagnosed with VADR. METHODS: Retrospective chart review. MAIN OUTCOME MEASURES: Baseline serum retinol level, Snellen visual acuity, multimodal fundus imaging findings, and electroretinography findings. RESULTS: Nine patients, 4 (44.4%) female, with a median (range) age of 68 (50-75) years were identified. The most common underlying etiologies for vitamin A deficiency included history of gastrointestinal surgery (55.6%), liver disease (44.4%), and nutritional depletion due to low-quality diet (44.4%). Only 1 (11.1%) patient had a history of bariatric surgery. Four (44.4%) patients were on some form of vitamin A supplementation before the diagnosis of VADR. Median (range) serum retinol level was 0.06 (< 0.06-0.19) mg/L. All patients had macular subretinal hyperreflective deposits resembling subretinal drusenoid deposits, although in some cases, these were scant and sparsely distributed. Six eyes of 3 patients with longstanding deficiency had defects in the external limiting membrane (ELM). Three of these eyes additionally had macular areas of complete retinal pigment epithelium and outer retinal atrophy (cRORA). Full-field electroretinography demonstrated severe rod dysfunction and mild to moderate cone system dysfunction. Many findings of VADR were reversible with vitamin A repletion. However, all eyes with ELM defects or cRORA had persistence or continued growth of these lesions. CONCLUSION: Vitamin A deficiency retinopathy is uncommon in the developed world. However, given that early intervention can lead to dramatic visual improvement and avoid potentially permanent retinal damage, retina specialists should be familiar with its clinical presentation. The presence of nyctalopia and subretinal hyperreflective deposits in a patient with a history of gastrointestinal surgery, liver disease, and/or poor diet can be suggestive of this diagnosis, even in the presence of ongoing vitamin A supplementation. Vitamin A supplementation can vary in route and dosage and can be tailored to the individual with serial testing of serum retinol. FINANCIAL DISCLOSURE(S): The authors have no proprietary or commercial interest in any materials discussed in this article.

Home Hospital Outcomes for Acute Decompensated Heart Failure and Factors Associated With Escalation of Care.

BACKGROUND: Overall outcomes and the escalation rate for home hospital admissions for heart failure (HF) are not known. We report overall outcomes, predict escalation, and describe care provided after escalation among patients admitted to home hospital for HF. METHODS: Our retrospective analysis included all patients admitted for HF to 2 home hospital programs in Massachusetts between February 2020 and October 2022. Escalation of care was defined as transfer to an inpatient hospital setting (emergency department, inpatient medical unit) for at least 1 overnight stay. Unexpected mortality was defined as mortality excluding those who desired to pass away at home on admission or transitioned to hospice. We performed the least absolute shrinkage and selection operator logistic regression to predict escalation. RESULTS: We included 437 hospitalizations; patients had a median age of 80 (interquartile range, 69-89) years, 58.1% were women, and 64.8% were White. Of the cohort, 29.2% had reduced ejection fraction, 50.9% had chronic kidney disease, and 60.6% had atrial fibrillation. Median admission Get With The Guidelines HF score was 39 (interquartile range, 35-45; 1%-5% predicted inpatient mortality). Escalation occurred in 10.3% of hospitalizations. Thirty-day readmission occurred in 15.1%, 90-day readmission occurred in 33.8%, and 6-month mortality occurred in 11.5%. There was no unexpected mortality during home hospitalization. Patients who experienced escalation had significantly longer median length of stays (19 versus 7.5 days, P<0.001). The most common reason for escalation was progressive renal dysfunction (36.2%). A low mean arterial pressure at the time of admission to home hospital was the most significant predictor of escalation in the least absolute shrinkage and selection operator regression. CONCLUSIONS: About 1 in 10 home hospital patients with HF required escalation; none had unexpected mortality. Patients requiring escalation had longer length of stays. A low mean arterial pressure at the time of admission to home hospital was the most important predictor of escalation of care in the least absolute shrinkage and selection operator logistic regression model.

Automation of Functional Mobility Assessments at Home Using a Multimodal Sensor System Integrating Inertial Measurement Units and Computer Vision (IMU-Vision).

OBJECTIVE: Functional movement assessments are routinely used to evaluate and track changes in mobility. The objective of this study was to evaluate a multimodal movement monitoring system developed for autonomous, home-based, functional movement assessment. METHODS: Fifty frail and prefrail adults were recruited from the Brigham and Women's Hospital at Home program to evaluate the feasibility and accuracy of applying the multimodal movement monitoring system to autonomously recognize and score functional activities collected in the home. Study subjects completed sit-to-stand, standing balance (Romberg, semitandem, and tandem), and walking test activities in likeness to the Short Physical Performance Battery. Test activities were identified and scored manually and by the multimodal movement monitoring system's activity recognition and scoring algorithms, which were previously trained on lab-based biomechanical data to integrate wearable inertial measurement unit (IMU) and external red-blue-green-depth vision data. Feasibility was quantified as the proportion of completed tests that were analyzable. Accuracy was quantified as the degree of agreement between the actual and system-identified activities. In an exploratory analysis of a subset of functional activity data, the accuracy of a preliminary activity-scoring algorithm was also evaluated. RESULTS: Activity recognition by the IMU-vision system had good feasibility and high accuracy. Of 271 test activities collected in the home, 217 (80%) were analyzable by the activity-recognition algorithm, which overall correctly identified 206 (95%) of the analyzable activities: 100% of walking, 97% of balance, and 82% of sit-to-stand activities (χ2(2) = 19.9). In the subset of 152 tests suitable for activity scoring, automatic and manual scores showed substantial agreement (Kw = 0.76 [0.69, 0.83]). CONCLUSIONS: Autonomous recognition and scoring of home-based functional activities is enabled by a multimodal movement monitoring system that integrates inertial measurement unit and vision data. Further algorithm training with ecologically valid data and a kitted system that is independently usable by patients are needed before fully autonomous, functional movement assessment is realizable. IMPACT: Functional movement assessments that can be administered in the home without a clinician present have the potential to democratize these evaluations and improve care access.

Therapeutic Photobiomodulation Before Strenuous Exercise Attenuates Shoulder Muscle Fatigue.

CONTEXT: Photobiomodulation therapy (PBMT) applied as a preconditioning treatment before exercise has been shown to attenuate fatigue and improve skeletal muscle contractile function during high-intensity resistance exercise. Practical implications for preconditioning muscle with PBMT prior to fatiguing exercise include a safe and non-invasive means to enhance performance and reduce the risk of musculoskeletal injury. OBJECTIVE: To examine the muscle fatigue attenuating effects of PBMT on performance of the shoulder external rotator muscle group when applied as a preconditioning treatment before high-intensity, high-volume resistance exercise. DESIGN: Sham-controlled, cross-over design. SETTING: Laboratory. PARTICIPANTS: Twenty healthy men (n=8) and women (n=12) between the age of 18 and 30. INTERVENTION: PBMT was administered using a near-infrared laser (λ=810/980nm, 1.8 W/cm2, treatment area = 80cm2-120 cm2) to the shoulder external rotator muscles at a radiant exposure of 10 J/cm2. Subjects performed 12 sets of isokinetic shoulder exercise. Each set consisted of 21 concentric contractions of internal and external rotation at 60°/s. The sets were subdivided into 3 blocks of exercise [Block 1: sets 1-4; Block 2: sets 5-8; Block 3: sets 9-12]. MAIN OUTCOME MEASURES: normalized peak torque [Nm/kg], average peak torque [Nm], total work [Nm], and average power [W]. RESULTS: During the last block of exercise (sets 9-12), all performance measures for the active PBMT condition were 6.2% to 10% greater than the sham PBMT values (p < 0.02 to 0.001). CONCLUSIONS: PBMT attenuated fatigue and improved muscular performance of the shoulder external rotators in the latter stages of strenuous resistance exercise.

A Systematic Review of the Hill-Bone Compliance to Blood Pressure Therapy Scale.

Background: Poor medication adherence hampers hypertension control and increases the risk of adverse health outcomes. Medication adherence can be measured with direct and indirect methods. The Hill-Bone Compliance to High Blood Pressure Therapy (HBCHBPT) Scale, one of the most popular adherence measures, indirectly assesses adherence to hypertension therapy in three behavioral domains: appointment keeping, diet and medication adherence. Aim: To synthesize evidence on the use of the HBCHBPT Scale, including psychometric properties, utility in diverse patient populations, and directions for future clinical use and research. Methods: We searched electronic databases, specifically CINAHL, PubMed, PsychInfo, Embase, and Web of Science. We included original studies that used the HBCHBPT Scale or its subscales to measure a health outcome, or methodological studies involving translations and validations of the scale. We extracted and synthesized data following the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Results: Fifty studies were included in this review, 44 on hypertension, two on diabetes, and others on other chronic conditions. The scale was successfully translated into numerous languages and used in descriptive and intervention studies. The scale demonstrated sound psychometric properties (Cronbach's α coefficient 0.75) and sensitivity to capture intervention effects when used to evaluate the effectiveness of high blood pressure adherence interventions. The medication-taking subscale of HBCHBPT performs best and is widely used in diverse contexts to assess medication adherence for chronic conditions. Conclusion: The HBCHBPT Scale has high versatility globally and has been used in various settings by various healthcare worker cadres and researchers. The scale has several strengths, including high adherence phenotyping capabilities, contributing to the paradigm shift toward personalized health care.

Single-lead arrhythmia detection through machine learning: cross-sectional evaluation of a novel algorithm using real-world data.

BACKGROUND: Computer-assisted interpretation of single-lead ECG is the preliminary method for clinicians to flag and further evaluate an arrhythmia of clinical importance for acutely ill patients. Critical scrutiny of novel detection algorithms is lacking, particularly in external real-world data sets. This study's objective was to evaluate a hybrid machine learning model's ability to classify eight arrhythmias from a single-lead ECG signal from acutely ill patients. METHODS: This cross-sectional external retrospective evaluation of a previously trained hybrid machine learning model against an ECG reading team in the setting of home hospital care (acute care delivered at home substituting for traditional hospital care) draws from patients admitted at two hospitals in Boston, Massachusetts, USA between 12 June 2017 and 23 November 2019. We calculated classifier statistics for each arrhythmia, all arrhythmias and strips where the model identified normal sinus rhythm. RESULTS: The model analysed 2 680 162 min of single-lead ECG data from 423 patients and identified 691 478 arrhythmias. Patients had a mean age of 70 years (SD, 18), 60% were female and 45% were white. For any arrhythmia, the model had a sensitivity of 98%, a specificity of 100%, an accuracy of 98%, a positive predictive value of 100%, a negative predictive value of 93% and an F1 Score of 99%. Performance was best for pause (F1 Score, 99%) and worst for paroxysmal supraventricular tachycardia (F1 Score, 92%). The model's false positive rate for any arrhythmia was 0.2%, ranging from 0.4% for pause to 7.2% for paroxysmal supraventricular tachycardia. The false negative rate for any arrhythmia was 1.9%. CONCLUSIONS: A hybrid machine learning model was effective at classifying common cardiac arrhythmias from a single-lead ECG in real-world data.