Telemonitoring of motor skills using the Alberta Infant Motor Scale for at-risk infants in the first year of life.

INTRODUCTION: Remote assessment creates opportunities for monitoring child development at home. Determining the possible barriers to and facilitators of the quality of telemonitoring motor skills allows for safe and effective practices. We aimed to: (1) determine the quality, barriers and facilitators of Alberta Infant Motor Scale (AIMS) home videos made by mothers; (2) verify interrater reliability; (3) determine the association between contextual factors and the quality of assessments. METHODS: Thirty infants at biological risk aged between three and ten months, of both sexes, and their mothers were included. Assessments were based on asynchronous home videos, where motor skills were evaluated by mothers at home according to AIMS guidelines. The following were analyzed: video quality; stimulus quality; camera position; and physical environment. The video characteristics were analyzed descriptively. The intraclass correlation coefficient was used to calculate interrater reliability and the regression model to determine the influence of contextual factors on the outcome variables. Significance was set at 5%. RESULTS: Remote assessment of AIMS exhibited high image and stimulus quality, and a suitable physical environment. Interrater reliability was high for all domains: prone (r = 0.976); supine (r = 0.965); sitting (r = 0.987); standing (r = 0.945) and total score (r = 0.980). The contextual factors had no relation with assessment quality. DISCUSSION: Assessments conducted remotely by the mothers showed high video quality and interrater reliability, and represent a promising assessment tool for telemedicine in at-risk infants in the first year of life.

Telephone calls and glycemic control in type 2 diabetes: A PRISMA-compliant systematic review and meta-analysis of randomized clinical trials.

AIMS: In-depth and updated systematic reviews evaluating telephone calls in type 2 diabetes (T2DM) management are missing. This study aimed to assess the effect of this intervention on glycemic control in T2DM patients when compared with usual care. METHODS: We systematically searched for randomized controlled trials (RCT) on T2DM using Medline, Embase, Cochrane Central Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and LILACS, up to March 2021. The Risk of Bias 2.0 (Rob 2.0) tool and GRADE were used for the quality evaluation. The intervention effect was estimated by the change in glycated hemoglobin (HbA1c). PROSPERO registry CRD42020204519. RESULTS: 3545 references were reviewed and 32 were included (8598 patients). Telephone calls, all approaching education, improved HbA1c by 0.33% [95% CI, -0.48% to -0.18%; I2 = 78%; p < 0.0001] compared to usual care. A greater improvement was found when the intervention included pharmacologic modification (-0.82%, 95% CI, -1.42% to -0.22%; I2 = 92%) and when it was applied by nurses (-0.53%, 95% CI, -0.86% to -0.2%; I2 = 87%). Meta-regression showed no relationship between DM duration and HbA1c changes. CONCLUSION: The telephone call intervention provided a benefit regarding T2DM glycemic control, especially if provided by nurses, or if associated with patient education and pharmacological treatment modification.

Technique failure in remote patient monitoring program in patients undergoing automated peritoneal dialysis: A retrospective cohort study.

BACKGROUND: Remote patient monitoring (RPM) programs in automated peritoneal dialysis (APD) allow clinical teams to be aware of many aspects and events of the therapy that occur in the home. The present study evaluated the association between RPM use and APD technique failure. METHODS: A retrospective, multicentre, observational cohort study of 558 prevalent adult APD patients included between 1 October 2016 and 30 June 2017 with follow-up until 30 June 2018 at Renal Therapy Services network in Colombia. Patients were divided into two cohorts based on the RPM use: APD-RPM (n = 148) and APD-without RPM (n = 410). Sociodemographic and clinical characteristics of all patients were summarized descriptively. A propensity score was used to create a pseudo-population in which the baseline covariates were well balanced. The association of RPM with technique failure was estimated adjusting for the competing events death and kidney transplant. RESULTS: Five hundred fifty-eight patients were analyzed. 26.5% had APD-RPM. In the matched sample comprising 148 APD-RPM and 148 APD-without RPM patients, we observed a lower technique failure rate of 0.08 [0.05-0.15] episodes per patient-year in APD-RPM versus 0.18 [0.12-0.26] in APD-without RPM cohort; incidence rate ratio = 0.45 95% confidence interval: [0.22-0.91], p-value = 0.03. CONCLUSIONS: The use of an RPM program in APD patients may be associated with a lower technique failure rate. More extensive and interventional studies are needed to confirm its potential benefits and to measure other patient-centered outcomes.

Detecting False Alarms by Analyzing Alarm-Context Information: Algorithm Development and Validation.

BACKGROUND: Although alarm safety is a critical issue that needs to be addressed to improve patient care, hospitals have not given serious consideration about how their staff should be using, setting, and responding to clinical alarms. Studies have indicated that 80%-99% of alarms in hospital units are false or clinically insignificant and do not represent real danger for patients, leading caregivers to miss relevant alarms that might indicate significant harmful events. The lack of use of any intelligent filter to detect recurrent, irrelevant, and/or false alarms before alerting health providers can culminate in a complex and overwhelming scenario of sensory overload for the medical team, known as alarm fatigue. OBJECTIVE: This paper's main goal is to propose a solution to mitigate alarm fatigue by using an automatic reasoning mechanism to decide how to calculate false alarm probability (FAP) for alarms and whether to include an indication of the FAP (ie, FAP_LABEL) with a notification to be visualized by health care team members designed to help them prioritize which alerts they should respond to next. METHODS: We present a new approach to cope with the alarm fatigue problem that uses an automatic reasoner to decide how to notify caregivers with an indication of FAP. Our reasoning algorithm calculates FAP for alerts triggered by sensors and multiparametric monitors based on statistical analysis of false alarm indicators (FAIs) in a simulated environment of an intensive care unit (ICU), where a large number of warnings can lead to alarm fatigue. RESULTS: The main contributions described are as follows: (1) a list of FAIs we defined that can be utilized and possibly extended by other researchers, (2) a novel approach to assess the probability of a false alarm using statistical analysis of multiple inputs representing alarm-context information, and (3) a reasoning algorithm that uses alarm-context information to detect false alarms in order to decide whether to notify caregivers with an indication of FAP (ie, FAP_LABEL) to avoid alarm fatigue. CONCLUSIONS: Experiments were conducted to demonstrate that by providing an intelligent notification system, we could decide how to identify false alarms by analyzing alarm-context information. The reasoner entity we described in this paper was able to attribute FAP values to alarms based on FAIs and to notify caregivers with a FAP_LABEL indication without compromising patient safety.

A Software Framework for Remote Patient Monitoring by Using Multi-Agent Systems Support.

BACKGROUND: Although there have been significant advances in network, hardware, and software technologies, the health care environment has not taken advantage of these developments to solve many of its inherent problems. Research activities in these 3 areas make it possible to apply advanced technologies to address many of these issues such as real-time monitoring of a large number of patients, particularly where a timely response is critical. OBJECTIVE: The objective of this research was to design and develop innovative technological solutions to offer a more proactive and reliable medical care environment. The short-term and primary goal was to construct IoT4Health, a flexible software framework to generate a range of Internet of things (IoT) applications, containing components such as multi-agent systems that are designed to perform Remote Patient Monitoring (RPM) activities autonomously. An investigation into its full potential to conduct such patient monitoring activities in a more proactive way is an expected future step. METHODS: A framework methodology was selected to evaluate whether the RPM domain had the potential to generate customized applications that could achieve the stated goal of being responsive and flexible within the RPM domain. As a proof of concept of the software framework's flexibility, 3 applications were developed with different implementations for each framework hot spot to demonstrate potential. Agents4Health was selected to illustrate the instantiation process and IoT4Health's operation. To develop more concrete indicators of the responsiveness of the simulated care environment, an experiment was conducted while Agents4Health was operating, to measure the number of delays incurred in monitoring the tasks performed by agents. RESULTS: IoT4Health's construction can be highlighted as our contribution to the development of eHealth solutions. As a software framework, IoT4Health offers extensibility points for the generation of applications. Applications can extend the framework in the following ways: identification, collection, storage, recovery, visualization, monitoring, anomalies detection, resource notification, and dynamic reconfiguration. Based on other outcomes involving observation of the resulting applications, it was noted that its design contributed toward more proactive patient monitoring. Through these experimental systems, anomalies were detected in real time, with agents sending notifications instantly to the health providers. CONCLUSIONS: We conclude that the cost-benefit of the construction of a more generic and complex system instead of a custom-made software system demonstrated the worth of the approach, making it possible to generate applications in this domain in a more timely fashion.

Prototype of a computer system for managing data and video colonoscopy exams

OBJECTIVE: Develop a prototype using computer resources to optimize the management process of clinical information and video colonoscopy exams. MATERIALS AND METHODS: Through meetings with medical and computer experts, the following requirements were defined: management of information about medical professionals, patients and exams; video and image captured by video colonoscopes during the exam, and the availability of these videos and images on the Web for further analysis. The technologies used were Java, Flex, JBoss, Red5, JBoss SEAM, MySQL and Flamingo. RESULTS AND DISCUSSION: The prototype contributed to the area of colonocospy by providing resources to maintain the patients' history, tests and images from video colonoscopies. The web-based application allows greater flexibility to physicians and specialists. The resources for remote analysis of data and tests can help doctors and patients in the examination and diagnosis. CONCLUSION: The implemented prototype has contributed to improve colonoscopy-related processes. Future activities include the prototype deployment in the Service of Coloproctology and the utilization of this model to allow real-time monitoring of these exams and knowledge extraction from such structured database using artificial intelligence. (AU)

OBJETIVO: Desenvolver um protótipo por meio de recursos computacionais para a otimização de processos de gerenciamento de informações clínicas e de exames de videocolonoscopia. MATERIAIS E MÉTODOS: Por meio de reuniões com especialistas médicos e computacionais, definiram-se os seguintes requisitos: gestão de informações sobre profissionais médicos, pacientes e exames complementares; aquisição dos vídeos e captura de imagens a partir do videocolonoscópio durante a realização desse exame, e a disponibilidade por meio da Web para análise posterior dessas imagens. As tecnologias aplicadas foram: Java, Flex, JBOSS, Red5, JBOSS SEAM, MySQL e Flamingo. RESULTADOS E DISCUSSÃO: O protótipo contribuiu para a área de colonocospia disponibilizando recursos para manutenção de histórico de pacientes, exames e imagens. O acesso à aplicação, por meio de browser, permite maior flexibilidade aos médicos e especialistas. Os recursos para análise remota de dados e exames podem auxiliar médicos e pacientes na realização de exames e diagnósticos. CONCLUSÃO: O protótipo implementado contribuiu para melhoria de processos relacionados a exames de videocolonoscopia. Trabalhos futuros incluem implantação do protótipo no serviço de coloproctologia, bem como a extensão do modelo para o acompanhamento dos exames em tempo real e extração de conhecimento dessa base de dados estruturada por meio de inteligência artificial. (AU)