Finding a constrained number of predictor phenotypes for multiple outcome prediction.

Background: Prognostic models help aid medical decision-making. Various prognostic models are available via websites such as MDCalc, but these models typically predict one outcome, for example, stroke risk. Each model requires individual predictors, for example, age, lab results and comorbidities.

Kinematic signature of high risk labored breathing revealed by novel signal analysis.

Breathing patterns (respiratory kinematics) contain vital prognostic information. This dimension of physiology is not captured by conventional vital signs. We sought to determine the feasibility and utility of quantifying respiratory kinematics.

LGBTQIA+ Individuals' Experiences With Intimate Partner Violence and Perceptions of Victim Services.

This study explored lived experiences of LGBTQIA+ survivors of intimate partner violence (IPV). Seven participants completed a one-on-one, in-depth interview to share their experiences of IPV and any internal or external factors that influenced whether they sought support services or reported victimization. Thematic analysis revealed four overarching themes: (a) health complications, (b) coping mechanisms, (c) barriers to seeking professional help, and (d) suggestions for professionals.

Model-based trajectory tracking of a compliant continuum robot.

Compliant mechanisms, especially continuum robots, are becoming integral to advancements in minimally invasive surgery due to their ability to autonomously navigate natural pathways, significantly reducing collision severity. A major challenge lies in developing an effective control strategy to accurately reflect their behavior for enhanced operational precision. This study examines the trajectory tracking capabilities of a tendon-driven continuum robot at its tip.

Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research.

The Health-Analytics Data to Evidence Suite (HADES) is an open-source software collection developed by Observational Health Data Sciences and Informatics (OHDSI). It executes directly against healthcare data such as electronic health records and administrative claims, that have been converted to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Using advanced analytics, HADES performs characterization, population-level causal effect estimation, and patient-level prediction, potentially across a federated data network, allowing patient-level data to remain locally while only aggregated statistics are shared.

Payment and Coverage Parity for Virtual Care and In-Person Care: How Do We Get There?

Background: A steep increase in the use of delivery of virtual care occurred during the COVID-19 public health emergency (PHE) because of easing up of payment and coverage restrictions. With the end of PHE, there is uncertainty regarding continued coverage and payment parity for the virtual care services.

Methods: On November 8, 2022, The Mass General Brigham held the Third Annual Virtual Care Symposium: Demystifying Clinical Appropriateness in Virtual Care and What's Ahead for Pay Parity.

The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models.

The Deposit, Evaluate and Lookup Predictive Healthcare Information (DELPHI) library provides a centralised location for the depositing, exploring and analysing of patient-level prediction models that are compatible with data mapped to the observational medical outcomes partnership common data model.

Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?

We investigated a stacking ensemble method that combines multiple base learners within a database. The results on external validation across four large databases suggest a stacking ensemble could improve model transportability.

Determination of in vitro stability of routine haematinics tests using EFLM standards and the CRESS checklist.

Background: Laboratories should be aware of the stability of the analytes they are testing in order to avoid incorrect reporting and patient management. Stability studies are difficult to interpret and reproduce, with little guidance on how to determine appropriate clinical cut off values. Here we describe a standardised approach to determining stability for routine haematinics tests using published EFLM guidelines.

National-scale geodatabase of catchment characteristics in the Philippines for river management applications.

Quantitative descriptions of stream network and river catchment characteristics provide valuable context for enabling geomorphologically-informed sustainable river management. For countries where high-quality topographic data are available, there are opportunities to enable open access availability of baseline products from systematic assessment of morphometric and topographic characteristics. In this study, we present a national-scale assessment of fundamental topographic characteristics of Philippine river systems.

Development and implementation of a nurse-based remote patient monitoring program for ambulatory disease management.

Introduction: Numerous factors are intersecting in healthcare resulting in an increased focus on new tools and methods for managing care in patients' homes. Remote patient monitoring (RPM) is an option to provide care at home and maintain a connection between patients and providers to address ongoing medical issues.

Methods: Mayo Clinic developed a nurse-led RPM program for disease and post-procedural management to improve patient experience, clinical outcomes, and reduce health care utilization by more directly engaging patients in their health care.

To sell or not to sell: considerations when evaluating private equity acquisitions.

Purpose Of Review: Many private practice ophthalmology groups are considering a partnership with private equity. When evaluating whether to remain independent or to engage an equity partner, practice leaders must analyze their existing practice, address issues of equity transitions, management, and governance, and determine strategic goals. This paper discusses the factors that need to be considered when evaluating the possibility of an acquisition model.

Impact of COVID-19 stress on food insecurity and fruit and vegetable consumption among college students.

This cross-sectional study utilized structural equation modeling to examine effects of COVID-19 stress on food insecurity and fruit and vegetable consumption mediated through personal agency and behavioral intention. Students (n = 749) enrolled at one federally designated Hispanic-serving public university during the fall 2020 semester. A 34-item survey was developed and administered.

Use of unstructured text in prognostic clinical prediction models: a systematic review.

Objective: This systematic review aims to assess how information from unstructured text is used to develop and validate clinical prognostic prediction models. We summarize the prediction problems and methodological landscape and determine whether using text data in addition to more commonly used structured data improves the prediction performance.

Materials And Methods: We searched Embase, MEDLINE, Web of Science, and Google Scholar to identify studies that developed prognostic prediction models using information extracted from unstructured text in a data-driven manner, published in the period from January 2005 to March 2021.

The influence of warm-up duration on simulated rugby league interchange match performance.

The study was conducted to understand the effects of a short (10 min) and a long (30 min) duration warm-up on subsequent readiness to exercise and movement during simulated rugby league match play. Using a randomised cross-over design, 13 male rugby players (age: 23.6 ± 4.