Background: Compassion in healthcare provides measurable benefits to patients, physicians, and healthcare systems. However, data regarding the factors that predict care (and a lack of care) are scattered. This study systematically reviews biomedical literature within the Transactional Model of Physician Compassion and synthesizes evidence regarding the predictors of physician empathy, compassion, and related constructs (ECRC).
Methods: A systematic literature search was conducted in CENTRAL, MEDLINE, PsycINFO, EMBASE, CINAHL, AMED, OvidJournals, ProQuest, Web of Science, and Scopus using search terms relating to ECRC and its predictors. Eligible studies included physicians as participants. Methodological quality was assessed based on the Cochrane Handbook, using ROBINS-I risk of bias tool for quantitative and CASP for qualitative studies. Confidence in findings was evaluated according to GRADE-CERQual approach.
Results: One hundred fifty-two included studies (74,866 physicians) highlighted the diversity of influences on compassion in healthcare (54 unique predictors). Physician-related predictors (88%) were gender, experience, values, emotions and coping strategies, quality of life, and burnout. Environmental predictors (38%) were organizational structure, resources, culture, and clinical environment and processes. Patient-related predictors (24%) were communication ease, and physicians' perceptions of patients' motives; compassion was also less forthcoming with lower SES and minority patients. Evidence related to clinical predictors (15%) was scarce; high acuity presentations predicted greater ECRC.
Discussion: The growth of evidence in the recent years reflects ECRC's ongoing importance. However, evidence remains scattered, concentrates on physicians' factors that may not be amenable to interventions, lacks designs permitting causal commentary, and is limited by self-reported outcomes. Inconsistent findings in the direction of the predictors' effects indicate the need to study the relationships among predictors to better understand the mechanisms of ECRCs. The current review can guide future research and interventions.
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http://dx.doi.org/10.1007/s11606-021-07055-2 | DOI Listing |
Curr Med Imaging
January 2025
Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objective: The aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.
Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) in a 7:3 ratio. Optimal radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
Cogn Neuropsychiatry
January 2025
Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Introduction: Apathy is one of the common neuropsychiatric symptoms in people with dementia (PwD). The aim of this study is to determine the impact of apathy on the patient's quality of life (QoL) and caregiver's burden among PwD.
Methods: Sample of this cross-sectional descriptive study consisted of 88 PwD attending the outpatient clinic of a university hospital in Istanbul and their family caregivers.
OTJR (Thorofare N J)
January 2025
Colorado State University, Fort Collins, USA.
Despite documented benefits for development, children are engaging in considerably fewer risky play activities. Research on parent gender and children's risky play is inconsistent. Gender and cultural context shape how individuals perceive and tolerate children's risky play.
View Article and Find Full Text PDFJ Educ Health Promot
November 2024
Education Development Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Background: Learning and studying approaches are among the topics of great importance in medical sciences universities. Different approaches to learning can explain why some students learn better than others. This study aims to assess the relationship between learning or thinking styles and academic performance among nursing and medical students.
View Article and Find Full Text PDFJ Educ Health Promot
November 2024
Department of Primary Care, Kansas City University College of Medicine, Department of Primary Care, Kansas City, MO, USA.
Background: It is unclear how accurately students can reproduce specific forces that are often required for physical examination maneuvers. This study aimed to determine the baseline accuracy of force application for preclinical medical students, evaluate the effectiveness of a quantitative visual feedback intervention, and investigate whether certain demographics influence accuracy.
Materials And Methods: First- and second-year medical students were enrolled and demographic data were collected.
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