Background: Elderly population in India is increasing fast which indicates a growing share of population with more special needs for health and support. Understanding the morbidities and health-seeking behavior of elderly is essential for strengthening geriatric health-care services delivery.
Objectives: The objective of this study was to study the morbidity profile of elderly in urban slum areas and assess their health-seeking behavior.
Methodology: A cross-sectional study was conducted in urban slums of Jorhat district of Assam, among 125 elderly selected by simple random sampling.
Statistical Analysis Used: The statistical analysis was performed by Chi-square and proportions.
Results: The most common morbidity found was arthritis (70.4%) followed by visual impairment (58%). Majority (83.7%) were seeking treatment for their health problems. Among those elderly who did not seek treatment, the most common reasons given were "lack of money" (81.2%) and "not feeling necessary to go to doctor as conditions were age related" (62.5%).
Conclusions: More than two-third of slum-dwelling elderly in the present study were suffering from chronic morbidities; a few could not afford proper health care due to lack of money and self-medication practices were prevalent among some. This stresses the need to provide suitable health facilities and affordable health care to the elderly in slum areas to ensure their active aging. Living arrangement of the elderly was found to have significantly influenced their health-seeking behavior. Strategic implementation of policies focusing on the problems and beliefs of slum-dwelling elderly which prevent them from seeking healthcare is the need of the hour.
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http://dx.doi.org/10.4103/2249-4863.220030 | DOI Listing |
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
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Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
Interact J Med Res
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View Article and Find Full Text PDFJMIR Form Res
January 2025
Division of Psychology, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.
Background: Having a great amount of sedentary time is common among older adults and increases with age. There is a strong need for tools to reduce sedentary time and promote adherence to reduced sedentary time, for which eHealth interventions have the potential to be useful. Interventions for reducing sedentary time in older adults have been found to be more effective when elements of self-management are included.
View Article and Find Full Text PDFJ Particip Med
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Division of Allergy & Pulmonary Medicine, Washington University School of Medicine, St Louis, MO, United States.
Background: Adolescents and young adults (AYA) with cystic fibrosis (CF) are at risk for deviating from their daily treatment regimen due to significant time burden, complicated daily therapies, and life stressors. Developing patient-centric, effective, engaging, and practical behavioral interventions is vital to help sustain therapeutically meaningful self-management.
Objective: This study aimed to devise and refine a patient-centered telecoaching intervention to foster self-management in AYA with CF using a combination of intervention development approaches, including an evidence- and theory-based approach (ie, applying existing theories and research evidence for behavior change) and a target population-centered approach (ie, intervention refinement based on the perspectives and actions of those individuals who will use it).
JMIR Form Res
January 2025
Department of Computer Science, Purdue University, West Lafayett, IN, United States.
Background: Patient engagement is a critical but challenging public health priority in behavioral health care. During telehealth sessions, health care providers need to rely predominantly on verbal strategies rather than typical nonverbal cues to effectively engage patients. Hence, the typical patient engagement behaviors are now different, and health care provider training on telehealth patient engagement is unavailable or quite limited.
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