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Diabetes and Related Disorder Care Management Research

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Behavior, Chronic Disease and Health Promotion".

Deadline for manuscript submissions: closed (1 October 2023) | Viewed by 1788

Special Issue Editors


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Guest Editor
Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 35053, Taiwan
Interests: geriatric research; epidemiology and care of diabetes mellitus; epidemiology and prevention of chronic kidney diseases; program evaluation; tobacco control

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Guest Editor
School of Global Health Management and Informatics, University of Central Florida, Orlando, FL 32816, USA
Interests: health informatics; decision analysis and modeling; health service outcomes and evaluation; artificial intelligence in healthcare; population health management; patient-centric care management for chronic conditions; shared decision making in healthcare; aging and health; evidence-based healthcare management
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Special Issue Information

Dear Colleagues, 

The objective of this Special Issue is to assemble research and scholarly works that contribute to the theoretical and empirical knowledge base for identifying population health management research on diabetes and other related chronic conditions that will improve the performance of service organizations and enhance the well-being of communities. The specific aims of this issue are to:

  • Explicate an interdisciplinary focus in care management and improvement research.
  • Establish a close collaboration and partnership with the service sector that will enhance the development of innovative research.
  • Transform knowledge developed from interdisciplinary research, pertaining to Information Technology and Artificial Intelligence (AI), to evidence-based care management and practice. 

The integration of the principles and methodological approaches of diverse disciplines in conducting scientific studies may lead to the creation of evidence-based knowledge for improving diabetes care and to enhancing the effectiveness and efficiency of health service organizations. This Special Issue will bring together leading managerial epidemiologists and practitioners to share their scholarship and strategic agenda for resolving the most urgent care management issues of our time.  The call for papers invites scholars and researchers to address best-practice solutions for perfecting community and national proactive responses for health service and population health management issues.

Dr. Thomas T. H. Wan
Dr. Chih-Cheng Hsu
Guest Editors

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • chronic disease management
  • AI research in diabetes care
  • clinical decision support systems for diabetes
  • outcomes evaluation
  • intervention design and experimental studies in diabetes
  • predictors of diabetes care outcomes
  • growth trajectories of diabetes and related complications
  • polychronic conditions
  • behavioral and lifestyle changes
  • ecology of diabetes care
  • predictive analytics for clinical improvement
  • transdisciplinary research and collaboration in diabetes care
  • efficiency analysis

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Published Papers (1 paper)

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Research

11 pages, 352 KiB  
Article
Risk Factors Associated with Diabetes among Mexican-Origin Adults in Southern Arizona
by Mario Morales, Maia Ingram, Ramses Sepulveda, Thomas Nuño, Ada M. Wilkinson-Lee, Jill E. Guernsey De Zapien and Scott Carvajal
Int. J. Environ. Res. Public Health 2023, 20(12), 6126; https://doi.org/10.3390/ijerph20126126 - 14 Jun 2023
Viewed by 1475
Abstract
Diabetes is the seventh leading cause of death in the United States, and it is particularly problematic among the Latine population. This study employed multivariable logistic regression models to examine how hypertension, depression, and sociodemographics were associated with diabetes in a cross-sectional sample [...] Read more.
Diabetes is the seventh leading cause of death in the United States, and it is particularly problematic among the Latine population. This study employed multivariable logistic regression models to examine how hypertension, depression, and sociodemographics were associated with diabetes in a cross-sectional sample of Mexican-origin adults living in three counties of Southern Arizona. The overall prevalence of diabetes from this primary care sample was 39.4%. Holding covariates at fixed values, individuals having hypertension were 2.36 (95% CI: 1.15, 4.83) times more likely to have diabetes, when compared to individuals not having hypertension. The odds of having diabetes for individuals with ≥12 years of educational attainment were 0.29 (95% CI: 0.14, 0.61) times the corresponding odds of individuals with <12 years of educational attainment. For individuals with depression, the odds of having diabetes for those who were born in Mexico and had <30 years living in the US were 0.04 (95% CI: 0, 0.42) times the corresponding odds of individuals without depression and who were born in the US. Findings suggest clinical and public health systems should be aware of the potential increased risk of diabetes among Mexican-origin adults with hypertension and lower educational attainment. Full article
(This article belongs to the Special Issue Diabetes and Related Disorder Care Management Research)
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