scholarly journals Introduction to Special Issue: Journal of Pediatric Psychology Statement of Purpose—Special Section on Diversity and Health Care Disparities

2007 ◽  
Vol 33 (1) ◽  
pp. 22-25 ◽  
Author(s):  
Elizabeth L. McQuaid
Keyword(s):  
Health Care ◽  
Health Care Disparities ◽  
Special Section ◽  
Pediatric Psychology ◽  
Special Issue

scholarly journals Foreword: Big Data and its Application in Health Disparities Research

2017 ◽  
Vol 27 (2) ◽  
pp. 69 ◽  
Author(s):  
Eberechukwu Onukwugha ◽  
O. Kenrik Duru ◽  
Emmanuel Peprah
Keyword(s):  
Health Care ◽  
Big Data ◽  
Health Disparities ◽  
Health Care Disparities ◽  
Special Issue

<p>The articles presented in this special issue advance the conversation by describing the current efforts, findings and concerns related to Big Data and health disparities. They offer important recommendations and perspectives to consider when designing systems that can usefully leverage Big Data to reduce health disparities. We hope that ongoing Big Data efforts can build on these contributions to advance the conversation, address our embedded assumptions, and identify levers for action to reduce health care disparities.</p><p><em>Ethn Dis. </em>2017;27(2):69-72; doi:10.18865/ed.27.2.69.</p>

Children and Stress: Pediatric Psychology in Health-Care Settings

1993 ◽  
Vol 38 (1) ◽  
pp. 95-96
Author(s):  
Candida R. Maurer
Keyword(s):  
Health Care ◽  
Pediatric Psychology ◽  
Health Care Settings

Health and Medical Informatics Education

1994 ◽  
Vol 33 (03) ◽  
pp. 246-249 ◽  
Author(s):  
R. Haux ◽  
F. J. Leven ◽  
J. R. Moehr ◽  
D. J. Protti
Keyword(s):  
Health Care ◽  
Health Information ◽  
Medical Informatics ◽  
Health Informatics ◽  
Information Science ◽  
Management Program ◽  
Science Program ◽  
Special Issue ◽  
Academic Degree ◽  
The University

Abstract:Health and medical informatics education has meanwhile gained considerable importance for medicine and for health care. Specialized programs in health/medical informatics have therefore been established within the last decades.This special issue of Methods of Information in Medicine contains papers on health and medical informatics education. It is mainly based on selected papers from the 5th Working Conference on Health/Medical Informatics Education of the International Medical Informatics Association (IMIA), which was held in September 1992 at the University of Heidelberg/Technical School Heilbronn, Germany, as part of the 20 years’ celebration of medical informatics education at Heidelberg/Heilbronn. Some papers were presented on the occasion of the 10th anniversary of the health information science program of the School of Health Information Science at the University of Victoria, British Columbia, Canada. Within this issue, programs in health/medical informatics are presented and analyzed: the medical informatics program at the University of Utah, the medical informatics program of the University of Heidelberg/School of Technology Heilbronn, the health information science program at the University of Victoria, the health informatics program at the University of Minnesota, the health informatics management program at the University of Manchester, and the health information management program at the University of Alabama. They all have in common that they are dedicated curricula in health/medical informatics which are university-based, leading to an academic degree in this field. In addition, views and recommendations for health/medical informatics education are presented. Finally, the question is discussed, whether health and medical informatics can be regarded as a separate discipline with the necessity for specialized curricula in this field.In accordance with the aims of IMIA, the intention of this special issue is to promote the further development of health and medical informatics education in order to contribute to high quality health care and medical research.

scholarly journals Author Correction: Deep transfer learning for reducing health care disparities arising from biomedical data inequality

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Yan Gao ◽  
Yan Cui
Keyword(s):  
Health Care ◽  
Transfer Learning ◽  
Health Care Disparities ◽  
Biomedical Data

A Correction to this paper has been published: https://doi.org/10.1038/s41467-020-20480-x

A Scoping Review of Behavior Change Interventions to Decrease Health Care Disparities for Patients With Disabilities in a Primary Care Setting: Can Social Marketing Play a Role?

2021 ◽  
Vol 27 (1) ◽  
pp. 48-63
Author(s):  
Angela Makris ◽  
Mahmooda Khaliq ◽  
Elizabeth Perkins
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Behavior Change ◽  
Social Marketing ◽  
Health Care Disparities ◽  
Social Model ◽  
Care Providers ◽  
Social Model Of Disability ◽  
Behavior Change Interventions ◽  
The Social

Background: One in four Americans have a disability but remain an overlooked minority population at risk for health care disparities. Adults with disabilities can be high users of primary care but often face unmet needs and poor-quality care. Providers lack training, knowledge and have biased practices and behaviors toward people with disabilities (PWD); which ultimately undermines their quality of care. Focus of the Article: The aim is to identify behavior change interventions for decreasing health care disparities for people with disabilities in a healthcare setting, determine whether those interventions used key features of social marketing and identify gaps in research and practice. Research Question: To what extent has the social marketing framework been used to improve health care for PWD by influencing the behavior of health care providers in a primary health care setting? Program Design/Approach: Scoping Review. Importance to the Social Marketing Field: Social marketing has a long and robust history in health education and public health promotion, yet limited work has been done in the disabilities sector. The social marketing framework encompasses the appropriate features to aligned with the core principles of the social model of disability, which espouses that the barriers for PWD lie within society and not within the individual. Incorporating elements of the social model of disability into the social marketing framework could foster a better understanding of the separation of impairment and disability in the healthcare sector and open a new area of research for the field. Results: Four articles were found that target primary care providers. Overall, the studies aimed to increase knowledge, mostly for clinically practices and processes, not clinical behavior change. None were designed to capture if initial knowledge gains led to changes in behavior toward PWD. Recommendations: The lack of published research provides an opportunity to investigate both the applicability and efficacy of social marketing in reducing health care disparities for PWD in a primary care setting. Integrating the social model of disability into the social marketing framework may be an avenue to inform future interventions aimed to increase health equity and inclusiveness through behavior change interventions at a systems level.

scholarly journals An Overview of Cancer Health Disparities: New Approaches and Insights and Why They Matter

2020 ◽  
Author(s):  
Tsion Zewdu Minas ◽  
Maeve Kiely ◽  
Anuoluwapo Ajao ◽  
Stefan Ambs
Keyword(s):  
Health Care ◽  
Health Disparities ◽  
Social Stress ◽  
Access To Health Care ◽  
Health Care Disparities ◽  
Underserved Populations ◽  
Tumor Biology ◽  
Cultural Barriers ◽  
Cancer Therapies ◽  
Cancer Health Disparities

Abstract Cancer health disparities remain stubbornly entrenched in the US health care system. The Affordable Care Act was legislation to target these disparities in health outcomes. Expanded access to health care, reduction in tobacco use, uptake of other preventive measures and cancer screening, and improved cancer therapies greatly reduced cancer mortality among women and men and underserved communities in this country. Yet, disparities in cancer outcomes remain. Underserved populations continue to experience an excessive cancer burden. This burden is largely explained by health care disparities, lifestyle factors, cultural barriers, and disparate exposures to carcinogens and pathogens, as exemplified by the COVID-19 epidemic. However, research also shows that comorbidities, social stress, ancestral and immunobiological factors, and the microbiome, may contribute to health disparities in cancer risk and survival. Recent studies revealed that comorbid conditions can induce an adverse tumor biology, leading to a more aggressive disease and decreased patient survival. In this review, we will discuss unanswered questions and new opportunities in cancer health disparity research related to comorbid chronic diseases, stress signaling, the immune response, and the microbiome, and what contribution these factors may have as causes of cancer health disparities.

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