Loneliness is a prevalent and global problem for adult populations and has been linked to multiple chronic conditions in quantitative studies. This paper presents a systematic review of quantitative studies that examined the links between loneliness and common chronic conditions including: heart disease, hypertension, stroke, lung disease, and metabolic disorders. A comprehensive literature search process guided by the PRISMA statement led to the inclusion of 33 articles that measure loneliness in chronic illness populations. Loneliness is a significant biopsychosocial stressor that is prevalent in adults with heart disease, hypertension, stroke, and lung disease. The relationships among loneliness, obesity, and metabolic disorders are understudied but current research indicates that loneliness is associated with obesity and with psychological stress in obese persons. Limited interventions have demonstrated long-term effectiveness for reducing loneliness in adults with these same chronic conditions. Future longitudinal randomized trials that enhance knowledge of how diminishing loneliness can lead to improved health outcomes in persons with common chronic conditions would continue to build evidence to support the translation of findings to recommendations for clinical care.
Rationale, aims and objectives Obesity is significantly underdiagnosed and undertreated in primary care settings. The purpose of this clinical practice change project was to increase provider adherence to national clinical practice guidelines for the diagnosis and treatment of obesity in adults. Methods Based upon the National Institutes of Health guidelines for the diagnosis and treatment of obesity, a clinical change project was implemented. Guided by the theory of planned behaviour, the Provider and Healthcare team Adherence to Treatment Guidelines (PHAT-G) intervention includes education sessions, additional provider resources for patient education, a provider reminder system and provider feedback. Results Primary care providers did not significantly increase on documentation of diagnosis and planned management of obesity for patients with body mass index (BMI) greater than or equal to 30. Medical assistants increased recording of height, weight and BMI in the patient record by 13%, which was significant. Conclusions Documentation of accurate BMI should lead to diagnosis of appropriate weight category and subsequent care planning. Future studies will examine barriers to adherence to clinical practice guidelines for obesity. Interventions are needed that include inter-professional team members and may be more successful if delivered separately from routine primary care visits.
The purpose of this paper is to present a systematic review of studies that used Video Conferencing (VC) intervention for common chronic conditions. Chronic conditions account for the majority of poor health, disability, and death, and for a major portion of health-care expenditures in the United States. Innovative methods and interventions are needed to enhance care and management, improve access to care, improve patient outcomes, narrow health disparities and reduce health-care costs. Video Conferencing could be particularly relevant in improving health, care management, access and cost in the care of chronic illnesses. A comprehensive literature search process guided by the PRISMA statement led to the inclusion of 27 articles measuring video conferencing, at least one chronic illness, and patient outcomes for adults living in a community setting. While VC has been found to be feasible and effective, a low number of randomized controlled trials limit evidence. In addition, studies in this review were not designed to address the question of whether access to care in rural areas is improved through VC. Hence, more research is needed.
Background and objective Used as an integrated tool, mHealth may improve the ability of healthcare providers in rural areas to provide care, improve access to care for underserved populations, and improve biophysical outcomes of care for persons with diabetes in rural, underserved populations. Our objective in this paper is to present an integrated review of the impact of mHealth interventions for community dwelling individuals with type two diabetes. Materials and methods A literature search was performed using keywords in PubMed to identify research studies which mHealth technology was used as the intervention Results and discussion Interventions using mHealth have been found to improve outcomes, be cost effective, and culturally relevant. mHealth technology that has been used to improve outcomes include: seeking out health information via the web, access to appointment scheduling and medication refills, secure messaging, computerized interventions to manage a chronic condition, use of a personal health record, use of remote monitoring devices, and seeking support from others with similar health concerns through social networks. Conclusion Using the validated Chronic Care Model to translate what is known about mHealth technology to clinical practice has the potential to improve the ability of healthcare providers in rural areas to provide care, improve access to care for underserved populations, and improve biophysical outcomes of care for persons with diabetes in rural underserved populations. While these approaches were effective in improving some outcomes, they have not resulted in the establishment of the necessary electronic infrastructure for a sustainable mobile healthcare delivery model.
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