BiomedicalPublications

What health professions is citing right now

The 40 most-cited open-access health professions papers published since 2023. Every one is free to read, and each links to the journal that published it — so you can see what that venue costs to publish in while you are there.

Ranked by citations recorded in OpenAlex. The leading paper here has 1,546. Citation counts favour older papers, so treat this as what the field is building on, not what is newest.

Analysis of Selected Physical Fitness, Physiological, and Psychological Variables among Government, Government-Aided, and Private School Boys in Chennai District

A Uma Parvathi, Sanjith. TK · 2024

Purpose: This study aims to analyze and compare selected physical fitness, physiological, and psychological variables among boys from government, government- aided, and private schools in the Chennai district. The purpose is to understand how different school environments impact these variables and to provide insights that can inform policy and practice in physical education and health promotion.  Methodology: A sample of 300 boys aged 12-15 years was selected through stratified random sampling, with 100 boys from each school type (government, government-aided, and private schools). Physical…

International Journal of Innovative Science and Research Technology (IJISRT)1,546 citationsDOI

Mobile apps in trauma education

Research, Nature · 2023

Health care professionals' use of mobile devices is transforming clinical practice. Numerous medical software applications can now help with tasks ranging from information and time management to clinical decision-making at the point of care.…

PubMed852 citationsDOI

Supporting best practice in reflexive thematic analysis reporting in <i>Palliative Medicine</i> : A review of published research and introduction to the <i>Reflexive Thematic Analysis Reporting Guidelines</i> (RTARG)

Virginia Braun, Victoria Clarke · 2024

Background: Reflexive thematic analysis is widely used in qualitative research published in Palliative Medicine, and in the broader field of health research. However, this approach is often not used well. Common problems in published reflexive thematic analysis in general include assuming thematic analysis is a singular approach, rather than a family of methods, confusing themes and topics, and treating and reporting reflexive thematic analysis as if it is atheoretical. Purpose: We reviewed 20 papers published in Palliative Medicine between 2014 and 2022 that cited Braun and Clarke, identified…

Palliative Medicine787 citationsDOI

A global federated real-world data and analytics platform for research

Matvey B. Palchuk, Jack London, David Pérez-Rey, Zuzanna Drebert and 4 more · 2023

Objective: This article describes a scalable, performant, sustainable global network of electronic health record data for biomedical and clinical research. Materials and Methods: TriNetX has created a technology platform characterized by a conservative security and governance model that facilitates collaboration and cooperation between industry participants, such as pharmaceutical companies and contract research organizations, and academic and community-based healthcare organizations (HCOs). HCOs participate on the network in return for access to a suite of analytics capabilities, large networ…

JAMIA Open772 citationsDOI

Experimental Study on Effectiveness of Square Stepping Exercise for Fall Risk Mitigation Among Senior Citizens

Surya C.K, Shilpa Chandran.K, D Praveena · 2024

Background General fitness establishes the quality of life, but it often decreases with age. Therefore, it becomes vital to find out a method of evaluation of individual fitness level and to design a targeted exercise programme,ie SSE.. Fallsin the elderly are common and associated with major morbidity and mortality. Fall in the elderly is considered as a geriatric syndrome ,decreased physical functioning and autonomy and is associated with other geriatric syndromes.  Objective To find the effectiveness of square stepping exercise and strength and balance to reduce the risk of falls among eld…

International Journal of Innovative Science and Research Technology (IJISRT)733 citationsDOI

Effective Heart Disease Prediction Using Machine Learning Techniques

Chintan Bhatt, P. V. Patel, Tarang Ghetia, Pier Luigi Mazzeo · 2023

The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure correct classification, which helps cardiologists provide proper treatment to the patient. Machine learning applications in the medical niche have increased as they can recognize patterns from data. Using machine learning to classify cardiovascular disease occurrence can help diagnosticians reduce misdiagnosis. This research develops a model that can correctly predict cardiovascular diseases to reduce the fatality caused by cardiovascular diseases. This paper proposes a method of k-modes clustering with H…

Algorithms563 citationsDOI

Modified GAPI (MoGAPI) Tool and Software for the Assessment of Method Greenness: Case Studies and Applications

Fotouh R. Mansour, Justyna Płotka‐Wasylka, Marcello Locatelli · 2024

Abstract: The green analytical procedure index (GAPI) has been widely used to assess the greenness of different steps in analytical methodology. In the GAPI index, the different stages of the chemical analysis process are depicted using five pentagrams divided in subsections, labeled green, yellow, or red according to the degree of greenness. This GAPI tool provides a quick overview of the environmental impact and safety of the procedure. However, there is no total score that can be calculated from the GAPI metric to enable comparison between methods. In this work, a modified GAPI tool (MoGAPI…

Analytica—A Journal of Analytical Chemistry and Chemical Analysis432 citationsDOI

Ten years of implementation outcomes research: a scoping review

Enola K. Proctor, Alicia C. Bunger, Rebecca Lengnick‐Hall, Donald R. Gerke and 3 more · 2023

BACKGROUND: Proctor and colleagues' 2011 paper proposed a taxonomy of eight implementation outcomes and challenged the field to address a research agenda focused on conceptualization, measurement, and theory building. Ten years later, this paper maps the field's progress in implementation outcomes research. This scoping review describes how each implementation outcome has been studied, research designs and methods used, and the contexts and settings represented in the current literature. We also describe the role of implementation outcomes in relation to implementation strategies and other out…

Implementation Science399 citationsDOI

The Safety of Inpatient Health Care

David W. Bates, David M. Levine, Hojjat Salmasian, Ania Syrowatka and 17 more · 2023

BACKGROUND: Adverse events during hospitalization are a major cause of patient harm, as documented in the 1991 Harvard Medical Practice Study. Patient safety has changed substantially in the decades since that study was conducted, and a more current assessment of harm during hospitalization is warranted. METHODS: We conducted a retrospective cohort study to assess the frequency, preventability, and severity of patient harm in a random sample of admissions from 11 Massachusetts hospitals during the 2018 calendar year. The occurrence of adverse events was assessed with the use of a trigger metho…

New England Journal of Medicine394 citationsDOI

Comparing Kaiser Permanente Members to the General Population: Implications for Generalizability of Research

A. Davis, J. Voelkel, Carol Remmers, John Adams and 1 more · 2023

Introduction Insight into the characteristics of populations from which research samples are drawn is essential to understanding the generalizability of research findings. This study characterizes the membership of Kaiser Permanente and compares members to the population of the communities in which they live. Methods This study is a descriptive comparison of population distributions for Kaiser Permanente members vs the general population within counties in which Kaiser Permanente operates. Kaiser Permanente data on demographics, membership, geographically linked census data, and chronic condit…

The Permanente Journal391 citationsDOI

Quality communication can improve patient-centred health outcomes among older patients: a rapid review

Samer H. Sharkiya · 2023

BACKGROUND: Effective communication is a cornerstone of quality healthcare. Communication helps providers bond with patients, forming therapeutic relationships that benefit patient-centred outcomes. The information exchanged between the provider and patient can help in medical decision-making, such as better self-management. This rapid review investigated the effects of quality and effective communication on patient-centred outcomes among older patients. METHODS: Google Scholar, PubMed, Scopus, CINAHL, and PsycINFO were searched using keywords like "effective communication," "elderly," and "we…

BMC Health Services Research389 citationsDOI

Digital literacy as a new determinant of health: A scoping review

M.D.P. Arias Lopez, Bradley Ong, X. Borrat, Ariel Leonardo Fernandez and 4 more · 2023

INTRODUCTION: Harnessing new digital technologies can improve access to health care but can also widen the health divide for those with poor digital literacy. This scoping review aims to assess the current situation of low digital health literacy in terms of its definition, reach, impact on health and interventions for its mitigation. METHODS: A comprehensive literature search strategy was composed by a qualified medical librarian. Literature databases [Medline (Ovid), Embase (Ovid), Scopus, and Google Scholar] were queried using appropriate natural language and controlled vocabulary terms alo…

PLOS Digital Health388 citationsDOI

Nurse Burnout and Patient Safety, Satisfaction, and Quality of Care

Lambert Zixin Li, Peilin Yang, Sara J. Singer, Jeffrey Pfeffer and 2 more · 2024

Importance: Occupational burnout syndrome is characterized by emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment and is prevalent among nurses. Although previous meta-analyses have explored the correlates of nurse burnout, none have estimated their association with health care quality and safety and patient morbidity and mortality. Objective: To evaluate the magnitude and moderators of the association between nurse burnout and patient safety, patient satisfaction, and quality of care. Data Source: The Web of Science, Scopus, MEDLINE, Embase, PsycINFO, CI…

JAMA Network Open388 citationsDOI

Ensemble Learning for Disease Prediction: A Review

Palak Mahajan, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni · 2023

Machine learning models are used to create and enhance various disease prediction frameworks. Ensemble learning is a machine learning technique that combines multiple classifiers to improve performance by making more accurate predictions than a single classifier. Although numerous studies have employed ensemble approaches for disease prediction, there is a lack of thorough assessment of commonly used ensemble approaches against highly researched diseases. Consequently, this study aims to identify significant trends in the performance accuracies of ensemble techniques (i.e., bagging, boosting,…

Healthcare385 citationsDOI

Evidence‐based practice improves patient outcomes and healthcare system return on investment: Findings from a scoping review

Linda Connor, Jennifer Dean, Molly McNett, Donna M. Tydings and 7 more · 2023

BACKGROUND: Evidence-based practice and decision-making have been consistently linked to improved quality of care, patient safety, and many positive clinical outcomes in isolated reports throughout the literature. However, a comprehensive summary and review of the extent and type of evidence-based practices (EBPs) and their associated outcomes across clinical settings are lacking. AIMS: The purpose of this scoping review was to provide a thorough summary of published literature on the implementation of EBPs on patient outcomes in healthcare settings. METHODS: A comprehensive librarian-assisted…

Worldviews on Evidence-Based Nursing378 citationsDOI

Improving health literacy using the power of digital communications to achieve better health outcomes for patients and practitioners

Patrick Fitzpatrick · 2023

Digital communication tools have demonstrated significant potential to improve health literacy which ultimately leads to better health outcomes. In this article, we examine the power of digital communication tools such as mobile health apps, telemedicine and online health information resources to promote health and digital literacy. We outline evidence that digital tools facilitate patient education, self-management and empowerment possibilities. In addition, digital technology is optimising the potential for improved clinical decision-making, treatment options and communication among provider…

Frontiers in Digital Health374 citationsDOI

Regulation of short-chain fatty acids in the immune system

Xiaofeng Liu, Jia-Hao Shao, Yi-Tao Liao, Lining Wang and 6 more · 2023

A growing body of research suggests that short-chain fatty acids (SCFAs), metabolites produced by intestinal symbiotic bacteria that ferment dietary fibers (DFs), play a crucial role in the health status of symbiotes. SCFAs act on a variety of cell types to regulate important biological processes, including host metabolism, intestinal function, and immune function. SCFAs also affect the function and fate of immune cells. This finding provides a new concept in immune metabolism and a better understanding of the regulatory role of SCFAs in the immune system, which impacts the prevention and trea…

Frontiers in Immunology372 citationsDOI

Decision aids for people facing health treatment or screening decisions

Dawn Stacey, Krystina B. Lewis, Maureen Smith, Meg Carley and 17 more · 2024

BACKGROUND: Patient decision aids are interventions designed to support people making health decisions. At a minimum, patient decision aids make the decision explicit, provide evidence-based information about the options and associated benefits/harms, and help clarify personal values for features of options. This is an update of a Cochrane review that was first published in 2003 and last updated in 2017. OBJECTIVES: To assess the effects of patient decision aids in adults considering treatment or screening decisions using an integrated knowledge translation approach. SEARCH METHODS: We conduct…

Cochrane Database of Systematic Reviews351 citationsDOI

An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review

Rosita Guido, Stefania Ferrisi, Danilo Lofaro, Domenico Conforti · 2024

Support vector machines (SVMs) are well-known machine learning algorithms for classification and regression applications. In the healthcare domain, they have been used for a variety of tasks including diagnosis, prognosis, and prediction of disease outcomes. This review is an extensive survey on the current state-of-the-art of SVMs developed and applied in the medical field over the years. Many variants of SVM-based approaches have been developed to enhance their generalisation capabilities. We illustrate the most interesting SVM-based models that have been developed and applied in healthcare…

Information345 citationsDOI

Physician and Nurse Well-Being and Preferred Interventions to Address Burnout in Hospital Practice

Linda H. Aiken, Karen B. Lasater, Douglas M. Sloane, Colleen A. Pogue and 63 more · 2023

Importance: Disruptions in the hospital clinical workforce threaten quality and safety of care and retention of health professionals. It is important to understand which interventions would be well received by clinicians to address the factors associated with turnover. Objectives: To determine well-being and turnover rates of physicians and nurses in hospital practice, and to identify actionable factors associated with adverse clinician outcomes, patient safety, and clinicians' preferences for interventions. Design, Setting, and Participants: This was a cross-sectional multicenter survey study…

JAMA Health Forum340 citationsDOI

Practical thematic analysis: a guide for multidisciplinary health services research teams engaging in qualitative analysis

Catherine Saunders, Ailyn Sierpe, Christian von Plessen, Alice Kennedy and 11 more · 2023

Qualitative research methods explore and provide deep contextual understanding of real world issues, including people’s beliefs, perspectives, and experiences. Whether through analysis of interviews, focus groups, structured observation, or multimedia data, qualitative methods offer unique insights in applied health services research that other approaches cannot deliver. However, many clinicians and researchers hesitate to use these methods, or might not use them effectively, which can leave relevant areas of inquiry inadequately explored. Thematic analysis is one of the most common and flexib…

BMJ326 citationsDOI

A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges

Qi An, Saifur Rahman, Jingwen Zhou, James Jin Kang · 2023

Recently, various sophisticated methods, including machine learning and artificial intelligence, have been employed to examine health-related data. Medical professionals are acquiring enhanced diagnostic and treatment abilities by utilizing machine learning applications in the healthcare domain. Medical data have been used by many researchers to detect diseases and identify patterns. In the current literature, there are very few studies that address machine learning algorithms to improve healthcare data accuracy and efficiency. We examined the effectiveness of machine learning algorithms in im…

Sensors325 citationsDOI

Chronic kidney disease prediction based on machine learning algorithms

Md. Ariful Islam, Md. Ziaul Hasan Majumder, Md. Alomgeer Hussein · 2023

Chronic kidney disease (CKD) is a dangerous ailment that can last a person's entire life and is caused by either kidney malignancy or decreased kidney functioning. It is feasible to halt or slow the progression of this chronic disease to an end-stage wherein dialysis or surgical intervention is the only method to preserve a patient's life. Earlier detection and appropriate therapy can increase the likelihood of this happening. Throughout this research, the potential of several different machine learning approaches for providing an early diagnosis of CKD has been investigated. There has been a…

Journal of Pathology Informatics299 citationsDOI

Obesity Stigma: Causes, Consequences, and Potential Solutions

Susannah Westbury, Oyinlola Oyebode, Thijs van Rens, Thomas M. Barber · 2023

PURPOSE OF REVIEW: This review aims to examine (i) the aetiology of obesity; (ii) how and why a perception of personal responsibility for obesity so dominantly frames this condition and how this mindset leads to stigma; (iii) the consequences of obesity stigma for people living with obesity, and for the public support for interventions to prevent and manage this condition; and (iv) potential strategies to diminish our focus on personal responsibility for the development of obesity, to enable a reduction of obesity stigma, and to move towards effective interventions to prevent and manage obesit…

Current Obesity Reports297 citationsDOI

Principles of Biomedical Ethics

Silvia Ginghină · 2023

The text presents the principles of biomedical ethics (the principle of respect for autonomy, the principle of beneficence, the principle of non-harm, the principle of justice) and shows how principlism has influenced perceptions of what is right (good) in medical practice – both in everyday medicine, as well as in clinical research – and to what extent bioethics has provided answers to the moral dilemmas of medicine of the 20th and 21st centuries, a medicine supported by advances in science and research. It is shown that although the principlist approach is not perfect, it represents a succes…

Logos Universality Mentality Education Novelty SOCIAL SCIENCES296 citationsDOI

Formulating research questions for evidence-based studies

Mohammad‐Salar Hosseini, Farid Jahanshahlou, Mohammad Amin Akbarzadeh, Mahdi Zarei and 1 more · 2023

Formulating a research question is a crucial step in directing any scientific study. The classical evidence-based approach to formulating a question uses the PICO framework, consisting of population, intervention, comparison, and outcome. However, the PICO framework is not suitable for formulating research questions in some types of evidence and studies. This paper reviews and summarizes different frameworks introduced for formulating research questions over time. For this purpose, we explore the complete application of the PICO framework, clarifying its flexibility and subtleties for various…

Journal of Medicine Surgery and Public Health286 citationsDOI

Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases

Adedayo Ogunpola, Faisal Saeed, Shadi Basurra, Abdullah M. Albarrak and 1 more · 2024

Cardiovascular diseases present a significant global health challenge that emphasizes the critical need for developing accurate and more effective detection methods. Several studies have contributed valuable insights in this field, but it is still necessary to advance the predictive models and address the gaps in the existing detection approaches. For instance, some of the previous studies have not considered the challenge of imbalanced datasets, which can lead to biased predictions, especially when the datasets include minority classes. This study's primary focus is the early detection of hea…

Diagnostics285 citationsDOI

eXtreme Gradient Boosting Algorithm with Machine Learning: a Review

Zeravan Arif Ali, Ziyad H. Abduljabbar, Hanan A. Tahir, Amira Bibo Sallow and 1 more · 2023

The primary task of machine learning is to extract valuable information from the data that is generated every day, process it to learn from it, and take useful actions. Original language process, pattern detection, search engines, medical diagnostics, bioinformatics, and chemical informatics are all examples of application areas for machine learning. XGBoost is a recently released machine learning algorithm that has shown exceptional capability for modeling complex systems and is the most superior machine learning algorithm in terms of prediction accuracy and interpretability and classificatio…

Academic Journal of Nawroz University283 citationsDOI

Artificial intelligence in diabetes management: Advancements, opportunities, and challenges

Zhouyu Guan, Huating Li, Ruhan Liu, Chun Cai and 13 more · 2023

The increasing prevalence of diabetes, high avoidable morbidity and mortality due to diabetes and diabetic complications, and related substantial economic burden make diabetes a significant health challenge worldwide. A shortage of diabetes specialists, uneven distribution of medical resources, low adherence to medications, and improper self-management contribute to poor glycemic control in patients with diabetes. Recent advancements in digital health technologies, especially artificial intelligence (AI), provide a significant opportunity to achieve better efficiency in diabetes care, which ma…

Cell Reports Medicine280 citationsDOI

An Unsupervised Machine Learning Algorithms: Comprehensive Review

Samreen Naeem, Aqib Ali, Sania Anam, Muhammad Munawar Ahmed · 2023

Machine learning (ML) is a data-driven strategy in which computers learn from data without human intervention. The outstanding ML applications are used in a variety of areas. In ML, there are three types of learning problems: Supervised, Unsupervised, and Semi-Supervised Learning. Examples of unsupervised learning techniques and algorithms include Apriori algorithm, ECLAT algorithm, frequent pattern growth algorithm, clustering using k-means, principal components analysis. Objects are grouped based on their same properties. The clustering algorithms are divided into two categories: hierarchica…

International Journal of Computing and Digital Systems278 citationsDOI

5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes:<i>Standards of Care in Diabetes—2024</i>

Nuha A. ElSayed, Grazia Aleppo, Raveendhara R. Bannuru, Elizabeth A. Beverly and 20 more · 2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recomm…

Diabetes Care274 citationsDOI

Wearable Devices in Cardiovascular Medicine

Andrew Hughes, Md Mobashir Hasan Shandhi, Hiral Master, Jessilyn Dunn and 1 more · 2023

Wearable devices, such as smartwatches and activity trackers, are commonly used by patients in their everyday lives to manage their health and well-being. These devices collect and analyze long-term continuous data on measures of behavioral or physiologic function, which may provide clinicians with a more comprehensive view of a patients' health compared with the traditional sporadic measures captured by office visits and hospitalizations. Wearable devices have a wide range of potential clinical applications ranging from arrhythmia screening of high-risk individuals to remote management of chr…

Circulation Research272 citationsDOI