Context: The Veterans Health Administration (VA) provides comprehensive health care services to veterans across the United States. Recently, the VA established an Office of Rural Health to address the health care needs of rural veterans.
Purpose: To review the literature on rural veterans' health care needs in order to identify areas for future research.
Methods: We conducted a literature review of articles listed in the Medline, CINAHL, and BIOSIS datasets since 1950. We reviewed and summarized the findings of 50 articles that specifically examined rural veterans.
Findings: The literature on rural veterans included 4 articles examining access to care, 7 evaluating distance technology, 4 examining new models of care delivery, 11 studying rural veterans' patient characteristics, 10 evaluating programs provided in a rural setting, 6 examining rural health care settings, and 8 exploring rural veterans' health services utilization patterns. Most studies were small, based on data obtained before 2000, and consisted of uncontrolled, retrospective, descriptive studies of health care provided in rural VA settings. Definitions of rural were inconsistent, and in 20% of the articles examined the rural aspect of the setting was incidental to the study.
Conclusions: The literature on rural veterans' health care needs warrants expansion and investment so that policy makers can make informed decisions in an environment of limited resources and competing interests.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/j.1748-0361.2008.00179.x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
RetinaRegNet: A zero-shot approach for retinal image registration.
Comput Biol Med
January 2025
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32610, United States; Department of Medicine, University of Florida, Gainesville, FL, 32610, United States; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, 32610, United States; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, 32610, United States. Electronic address:
Retinal image registration is essential for monitoring eye diseases and planning treatments, yet it remains challenging due to large deformations, minimal overlap, and varying image quality. To address these challenges, we propose RetinaRegNet, a multi-stage image registration model with zero-shot generalizability across multiple retinal imaging modalities. RetinaRegNet begins by extracting image features using a pretrained latent diffusion model.
View Article and Find Full Text PDFInterventions to Maintain HIV/AIDS, Tuberculosis, and Malaria Service Delivery During Public Health Emergencies in Low- and Middle-Income Countries: Protocol for a Systematic Review.
JMIR Res Protoc
January 2025
Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Background: Although existing disease preparedness and response frameworks provide guidance about strengthening emergency response capacity, little attention is paid to health service continuity during emergency responses. During the 2014 Ebola outbreak, there were 11,325 reported deaths due to the Ebola virus and yet disruption in access to care caused more than 10,000 additional deaths due to measles, HIV/AIDS, tuberculosis, and malaria. Low- and middle-income countries account for the largest disease burden due to HIV, tuberculosis, and malaria and yet previous responses to health emergencies showed that HIV, tuberculosis, and malaria service delivery can be significantly disrupted.
View Article and Find Full Text PDFEffectiveness of Remote Patient Monitoring Equipped With an Early Warning System in Tertiary Care Hospital Wards: Retrospective Cohort Study.
J Med Internet Res
January 2025
Hospital Administration, Ramaiah Memorial Hospital, Bengaluru, Karnataka, India.
Background: Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified early warning score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify early deterioration. Leveraging technologies that provide continuous monitoring of vital signs, combined with an early warning system, has the potential to identify clinical deterioration sooner.
View Article and Find Full Text PDFTeaching in the Digital Age-Developing a Support Program for Nursing Education Providers: Design-Based Research.
JMIR Form Res
January 2025
Institute of Nursing Science, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Background: Health care systems and the nursing profession worldwide are being transformed by technology and digitalization. Nurses acquire digital competence through their own experience in daily practice, but also from education and training; nursing education providers thus play an important role. While nursing education providers have some level of digital competence, there is a need for ongoing training and support for them to develop more advanced skills and effectively integrate technology into their teaching.
View Article and Find Full Text PDFBuilding a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study.
J Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!