Lina Safarina, Achmad Setya Roswendi

BIBLIOMETRIC ANALYSIS: E-COUNSELING FOR FAMILIES OF ELDERLY INDIVIDUALS AT RISK OF FALLING

Introduction

Bibliometric analysis: e-counseling for families of elderly individuals at risk of falling. Bibliometric analysis explores e-counseling for elderly fall prevention. Discover research trends, technology's role, and family support strategies to enhance safety and care for at-risk seniors.

Abstract

This study employs a descriptive quantitative method with a bibliometric approach to analyze research trends related to fall prevention in the elderly. E-counseling, as an innovative approach to fall prevention, has not been widely explored in previous studies. Data indicate that approximately 30–40% of older adults experience falls each year, and 50% of them suffer recurrent falls, which may lead to serious injuries or even death. The bibliometric analysis was conducted to identify key keywords, research trends, and inter-topic relationships within the existing literature. The network visualization results show that topics such as “Prevention Program,” “Knowledge,” “Nurse,” and “Technology” are major focuses in this field of research. The role of technology and family support was also identified as a crucial factor in fall prevention strategies. The proximity of nodes in the network indicates that these keywords frequently co-occur in publications, reflecting strong interconnections among these topics in the context of fall prevention in the elderly. The importance of research on e-counseling for families of elderly individuals at risk of falling lies in its potential to provide emotional support and relevant information to help families manage fall risks. Through e-counseling, families can be better prepared to provide necessary care, enhance the safety of the home environment, and understand the specific risk factors faced by older adults. This study is expected to serve as a foundation for the development of more effective and targeted e-counseling programs, ultimately improving the quality of life and safety of the vulnerable elderly population.

Review

This paper presents a timely and relevant bibliometric analysis focusing on e-counseling as an innovative approach to fall prevention for families of elderly individuals. The abstract effectively highlights the critical public health issue of falls in older adults, underscoring the high incidence and recurrent nature that necessitates effective interventions. By employing a descriptive quantitative method, the study aims to systematically map the existing literature, identify research trends, and uncover inter-topic relationships, particularly recognizing the underexplored potential of e-counseling in this domain. This foundational work promises valuable insights into a crucial area of geriatric care. The analysis reveals several key research foci within the field of fall prevention, with network visualization identifying "Prevention Program," "Knowledge," "Nurse," and "Technology" as major themes. The abstract effectively emphasizes the crucial roles of technology and family support, indicating their strong interconnections with other topics, as evidenced by keyword co-occurrence. Crucially, the study identifies the significant potential of e-counseling to empower families by offering emotional support and pertinent information. This approach is positioned to enhance families' preparedness in providing care, improving home safety, and deepening their understanding of specific fall risk factors, thereby laying a solid groundwork for the development of targeted interventions. Overall, this bibliometric analysis is positioned as a foundational study, aiming to inform the creation of more effective and bespoke e-counseling programs. Its contribution lies in systematically characterizing the current research landscape and identifying a significant gap that e-counseling can address. While the abstract effectively outlines the study's scope and anticipated impact on improving the quality of life and safety for the vulnerable elderly population, the full paper would benefit from a detailed exposition of the bibliometric search strategy, database scope, and specific metrics used for network visualization to fully contextualize the identified trends. Nevertheless, this work offers a valuable strategic overview for researchers, clinicians, and policymakers interested in leveraging digital health solutions for geriatric fall prevention.

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