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REVIEW
José Côté, Gabrielle Chicoine, Billy Vinette, Patricia Auger, Geneviève Rouleau, Guillaume Fontaine, Didier Jutras-Aswad
BACKGROUND: The high prevalence of cannabis use among young adults poses substantial global health concerns due to the associated acute and long-term health and psychosocial risks. Digital modalities, including websites, digital platforms, and mobile apps, have emerged as promising tools to enhance the accessibility and availability of evidence-based interventions for young adults for cannabis use. However, existing reviews do not consider young adults specifically, combine cannabis-related outcomes with those of many other substances in their meta-analytical results, and do not solely target interventions for cannabis use...
April 17, 2024: Journal of Medical Internet Research
#22
JOURNAL ARTICLE
Vincent Pey, Emmanuel Doumard, Matthieu Komorowski, Antoine Rouget, Clément Delmas, Fanny Vardon-Bounes, Michaël Poette, Valentin Ratineau, Cédric Dray, Isabelle Ader, Vincent Minville
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) represents a major burden for society and health care, with an average incidence in adults of 67 to 170 cases per 100,000 person-years in Europe and in-hospital survival rates of less than 10%. Patients and practitioners would benefit from a prognostication tool for long-term good neurological outcomes. OBJECTIVE: We aim to develop a machine learning (ML) pipeline on a local database to classify patients according to their neurological outcomes and identify prognostic features...
2024: Digital Health
#23
JOURNAL ARTICLE
Yirgalem Abere, Henok Biresaw, Mekides Misganaw, Biniyam Netsere, Ousman Adal
OBJECTIVES: The aim of this study was to investigate the prevalence of missed nursing care and its associated factors among public hospitals in Bahir Dar City, Northwest Ethiopia. DESIGN: An institution-based cross-sectional study was conducted among 369 randomly selected nurses. SETTING: The study was conducted in primary and secondary-level public hospitals in Bahir Dar City. PARTICIPANTS: Nurses who had worked in hospitals in Bahir Dar City were included...
April 16, 2024: BMJ Open
#24
JOURNAL ARTICLE
Ying Wang, Yanling Chen, Yuqing Song, Hong Chen, Xin Guo, Ling Ma, Huan Liu
BACKGROUND: In patients with gout, suboptimal management refers to a lack of disease knowledge, low treatment compliance, and inadequate control of serum uric acid (SUA) levels. Several studies have shown that continuous care is recommended for disease management in patients with gout. However, in China, the continuous care model commonly used for patients with gout requires significant labor and time costs, and its efficiency and coverage remain low. Mobile health (mHealth) may be able to address these issues...
April 11, 2024: JMIR MHealth and UHealth
#25
JOURNAL ARTICLE
Catarina Martins, Bernardo Neves, Andreia Sofia Teixeira, Miguel Froes, Pedro Sarmento, Jaime Machado, Carlos A Magalhães, Nuno A Silva, Mário J Silva, Francisca Leite
This study presents a workflow for identifying and characterizing patients with Heart Failure (HF) and multimorbidity utilizing data from Electronic Health Records. Multimorbidity, the co-occurrence of two or more chronic conditions, poses a significant challenge on healthcare systems. Nonetheless, understanding of patients with multimorbidity, including the most common disease interactions, risk factors, and treatment responses, remains limited, particularly for complex and heterogeneous conditions like HF...
April 15, 2024: BMC Medical Informatics and Decision Making
#26
JOURNAL ARTICLE
Pinar Tokgöz, Stephan Krayter, Jessica Hafner, Christoph Dockweiler
BACKGROUND: Inappropriate antimicrobial use, such as antibiotic intake in viral infections, incorrect dosing and incorrect dosing cycles, has been shown to be an important determinant of the emergence of antimicrobial resistance. Artificial intelligence-based decision support systems represent a potential solution for improving antimicrobial prescribing and containing antimicrobial resistance by supporting clinical decision-making thus optimizing antibiotic use and improving patient outcomes...
April 15, 2024: BMC Medical Informatics and Decision Making
#27
JOURNAL ARTICLE
Khushboo Teotia, Yueran Jia, Naira Link Woite, Leo Anthony Celi, João Matos, Tristan Struja
OBJECTIVE: Health inequities can be influenced by demographic factors such as race and ethnicity, proficiency in English, and biological sex. Disparities may manifest as differential likelihood of testing which correlates directly with the likelihood of an intervention to address an abnormal finding. Our retrospective observational study evaluated the presence of variation in glucose measurements in the Intensive Care Unit (ICU). METHODS: Using the MIMIC-IV database (2008-2019), a single-center, academic referral hospital in Boston (USA), we identified adult patients meeting sepsis-3 criteria...
April 13, 2024: Journal of Biomedical Informatics
#28
JOURNAL ARTICLE
Meghan R Hutch, Jiyeon Son, Trang T Le, Chuan Hong, Xuan Wang, Zahra Shakeri Hossein Abad, Michele Morris, Alba Gutiérrez-Sacristán, Jeffrey G Klann, Anastasia Spiridou, Ashley Batugo, Riccardo Bellazzi, Vincent Benoit, Clara-Lea Bonzel, William A Bryant, Lorenzo Chiudinelli, Kelly Cho, Priyam Das, Tomás González González, David A Hanauer, Darren W Henderson, Yuk-Lam Ho, Ne Hooi Will Loh, Adeline Makoudjou, Simran Makwana, Alberto Malovini, Bertrand Moal, Danielle L Mowery, Antoine Neuraz, Malarkodi Jebathilagam Samayamuthu, Fernando J Sanz Vidorreta, Emily R Schriver, Petra Schubert, Jeffery Talbert, Amelia L M Tan, Byorn W L Tan, Bryce W Q Tan, Valentina Tibollo, Patric Tippman, Guillaume Verdy, William Yuan, Paul Avillach, Nils Gehlenborg, Gilbert S Omenn, Shyam Visweswaran, Tianxi Cai, Yuan Luo, Zongqi Xia
Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) involvement. Using a federated multinational network in which local clinicians and informatics experts curated the electronic health records data, we evaluated the risk of prolonged hospitalization and mortality in hospitalized COVID-19 patients from 21 healthcare systems across 7 countries...
April 2024: PLOS Digit Health
#29
REVIEW
Rui Zhang, Yingying Ge, Lu Xia, Yun Cheng
BACKGROUNDS: With the advent of the big data era, hospital information systems and mobile care systems, among others, generate massive amounts of medical data. Data mining, as a powerful information processing technology, can discover non-obvious information by processing large-scale data and analyzing them in multiple dimensions. How to find the effective information hidden in the database and apply it to nursing clinical practice has received more and more attention from nursing researchers...
2024: Journal of Multidisciplinary Healthcare
#30
JOURNAL ARTICLE
Marco A F Pimentel, Alistair Johnson, Julie Lorraine Darbyshire, Lionel Tarassenko, David A Clifton, Andrew Walden, Ian Rechner, Peter J Watkinson, J Duncan Young
RATIONALE: Intensive care units (ICUs) admit the most severely ill patients. Once these patients are discharged from the ICU to a step-down ward, they continue to have their vital signs monitored by nursing staff, with Early Warning Score (EWS) systems being used to identify those at risk of deterioration. OBJECTIVES: We report the development and validation of an enhanced continuous scoring system for predicting adverse events, which combines vital signs measured routinely on acute care wards (as used by most EWS systems) with a risk score of a future adverse event calculated on discharge from the ICU...
April 12, 2024: BMJ Open
#31
RANDOMIZED CONTROLLED TRIAL
KunJung Kim, Hyunchan Hwang, Sujin Bae, Sun Mi Kim, Doug Hyun Han
BACKGROUND: Panic disorder is a common and important disease in clinical practice that decreases individual productivity and increases health care use. Treatments comprise medication and cognitive behavioral therapy. However, adverse medication effects and poor treatment compliance mean new therapeutic models are needed. OBJECTIVE: We hypothesized that digital therapy for panic disorder may improve panic disorder symptoms and that treatment response would be associated with brain activity changes assessed with functional near-infrared spectroscopy (fNIRS)...
April 12, 2024: Journal of Medical Internet Research
#32
JOURNAL ARTICLE
Christian Gybel Jensen, Frederik Gybel Jensen, Mia Ingerslev Loft
BACKGROUND: The digitalization of public and health sectors worldwide is fundamentally changing health systems. With the implementation of digital health services in health institutions, a focus on digital health literacy and the use of digital health services have become more evident. In Denmark, public institutions use digital tools for different purposes, aiming to create a universal public digital sector for everyone. However, this digitalization risks reducing equity in health and further marginalizing citizens who are disadvantaged...
April 11, 2024: Journal of Medical Internet Research
#33
JOURNAL ARTICLE
Muhammad Rafiq, Pamela Mazzocato, Christian Guttmann, Jonas Spaak, Carl Savage
PURPOSE: The literature suggests predictive technology applications in health care would benefit from physician and manager input during design and development. The aim was to explore the needs and preferences of physician managers regarding the role of predictive analytics in decision support for patients with the highly complex yet common combination of multiple chronic conditions of cardiovascular (Heart) and kidney (Nephrology) diseases and diabetes (HND). METHODS: This qualitative study employed an experience-based co-design model comprised of three data gathering phases: 1...
April 7, 2024: International Journal of Medical Informatics
#34
JOURNAL ARTICLE
William V Padula, David G Armstrong, Peter J Pronovost, Suchi Saria
OBJECTIVE: To predict the risk of hospital-acquired pressure injury using machine learning compared with standard care. DESIGN: We obtained electronic health records (EHRs) to structure a multilevel cohort of hospitalised patients at risk for pressure injury and then calibrate a machine learning model to predict future pressure injury risk. Optimisation methods combined with multilevel logistic regression were used to develop a predictive algorithm of patient-specific shifts in risk over time...
April 9, 2024: BMJ Open
#35
JOURNAL ARTICLE
Christopher S Evans, Barry Bunn, Timothy Reeder, Leigh Patterson, Dustin Gertsch, Richard J Medford
UNLABELLED: Background / Objective: Clinical documentation is essential for conveying medical decision-making, communication between providers and patients, and capturing quality, billing, and regulatory measures during emergency department (ED) visits. Growing evidence suggests the benefits of note template standardization, however, variations in documentation practices are common. The primary objective of this study is to measure the utilization and coding performance of a standardized ED note template implemented across a nine-hospital health system...
April 8, 2024: Applied Clinical Informatics
#36
JOURNAL ARTICLE
Jerzy P Szaflarski, Magdalena Szaflarski
PURPOSE: Basic science data indicate potential neuroprotective effects of cannabinoids in traumatic brain injury (TBI). We aimed to evaluate the effects of pre-TBI recreational cannabis use on TBI outcomes. PATIENTS AND METHODS: We used i2b2 (a scalable informatics framework; www.i2b2.org) to identify all patients presenting with acute TBI between 1/1/2014 and 12/31/2016, then conducted a double-abstraction medical chart review to compile basic demographic, urine drug screen (UDS), Glasgow Coma Scale (GCS), and available outcomes data (mortality, modified Rankin Scale (mRS), duration of stay, disposition (home, skilled nursing facility, inpatient rehabilitation, other)) at discharge and at specific time points thereafter...
2024: Neuropsychiatric Disease and Treatment
#37
JOURNAL ARTICLE
S Jahandideh, A F Hutchinson, T K Bucknall, J Considine, A Driscoll, E Manias, N M Phillips, B Rasmussen, N Vos, A M Hutchinson
BACKGROUND: Identifying patients at high risk of falling is crucial in implementing effective fall prevention programs. While the integration of information systems is becoming more widespread in the healthcare industry, it poses a significant challenge in analysing vast amounts of data to identify factors that could enhance patient safety. OBJECTIVE: To determine fall-associated factors and develop high-performance prediction tools for at-risk patients in acute and sub-acute care services in Australia...
March 23, 2024: International Journal of Medical Informatics
#38
JOURNAL ARTICLE
Yang Xiao, Han Wang, Lina Han, Zhibin Huang, Guorong Lyu, Shilin Li
OBJECTIVES: Triglyceride (TG), triglyceride-glucose index (TyG), body mass index (BMI), TyG-BMI and triglyceride to high-density lipoprotein ratio (TG/HDL) have been reported to be reliable predictors of non-alcoholic fatty liver disease. However, there are few studies on potential predictors of non-alcoholic fatty pancreas disease (NAFPD). Our aim was to evaluate these and other parameters for predicting NAFPD. DESIGN: Cross-sectional study design. SETTING: Physical examination centre of a tertiary hospital in China...
April 5, 2024: BMJ Open
#39
JOURNAL ARTICLE
Nino Fijačko, Ruth Masterson Creber, Špela Metličar, Matej Strnad, Robert Greif, Gregor Štiglic, Pavel Skok
BACKGROUND: Retention of adult basic life support (BLS) knowledge and skills after professional training declines over time. To combat this, the European Resuscitation Council and the American Heart Association recommend shorter, more frequent BLS sessions. Emphasizing technology-enhanced learning, such as mobile learning, aims to increase out-of-hospital cardiac arrest (OHCA) survival and is becoming more integral in nursing education. OBJECTIVE: The aim of this study was to investigate whether playing a serious smartphone game called MOBICPR at home can improve and retain nursing students' theoretical knowledge of and practical skills in adult BLS...
April 5, 2024: JMIR Serious Games
#40
JOURNAL ARTICLE
Dimitra Anastasiadou, Pol Herrero, Paula Garcia-Royo, Julia Vázquez-De Sebastián, Mel Slater, Bernhard Spanlang, Elena Álvarez de la Campa, Andreea Ciudin, Marta Comas, Josep Antoni Ramos-Quiroga, Pilar Lusilla-Palacios
BACKGROUND: Virtual reality (VR) interventions, based on cognitive behavioral therapy principles, have been proven effective as complementary tools in managing obesity and have been associated with promoting healthy behaviors and addressing body image concerns. However, they have not fully addressed certain underlying causes of obesity, such as a lack of motivation to change, low self-efficacy, and the impact of weight stigma interiorization, which often impede treatment adherence and long-term lifestyle habit changes...
April 5, 2024: Journal of Medical Internet Research
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