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All Journal The Indonesian Journal of Occupational Safety and Health Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Bonardo Prayogo Hasiholan
Faculty of Public Health, Universitas Indonesia, Depok, Indonesia
Health Professions Medicine & Pharmacology Public Health

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Comparison of Fall Risk Assessment Tools for Older Indonesian Adults in the Elderly Home and the Community Indri Hapsari Susilowati; Susiana Nugraha; Sabarinah Sabarinah; Bonardo Prayogo Hasiholan; Supa Pengpid; Karl Peltzer
The Indonesian Journal of Occupational Safety and Health Vol. 8 No. 3 (2019): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1264.697 KB) | DOI: 10.20473/ijosh.v8i3.2019.241-248

Abstract

Introduction: One of the causes of disability among elderly is falling. The ability to predict the risk of falls among this group is important so that the appropriate treatment can be provided to reduce the risk. The objective of this study was to compare the Stopping Elderly Accidents, Deaths, & Injuries (STEADI) Initiative from the Centers for Disease Control and Prevention (CDC) and The Johns Hopkins Fall Risk Assessment Tool (JHFRAT) from the Johns Hopkins University. Methods: This study used the STEADI tool, JHFRAT, Activities-Specific Balance Confidence Scale (ABC), and The Geriatric Depression Scale (GDS). The study areas were in community and elderly home in both public and private sectors and the samples were 427 after cleaning. Results: The results for the STEADI and JHFRAT tools were similar where the respondents at highest risk of falling among women (STEADI: 49%; JHFRAT: 3.4%), in Bandung area (63.5%; 5.4%), in private homes (63.3%; 4.4%), non-schools (54.6%; 6.2%), aged 80 or older (64.8%; 6.7%) and not working (48.9%;3.3%). The regression analysis indicated that there was a significant relationship between the risk factors for falls in the elderly determined by the JHFRAT and STEADI tools: namely, region, type of home, age, disease history, total GDS and ABC averages. Conclusion: Despite the similarity in the risk factors obtained through these assessments, there was a significant difference between the results for the STEADI tool and the JHFRAT. The test strength was 43%. However, STEADI is more sensitive to detect fall risk smong elderly than JHFRATKeywords: Activities-Specific Balance Confidence scale, elderly, fall risk,The Johns Hopkins Fall Risk Assessment Tool, the Stopping Elderly Accidents, Deaths, & Injuries
Factors of Anxiety Symptoms Due to Large-Scale Social Restriction Policy During the COVID-19 Pandemic in Indonesia Susilowati, Indri Hapsari; Alimoeso, Sudibyo; Nugraha, Susiana; Hasiholan, Bonardo Prayogo; Simanjuntak, Magda Sabrina Theofany; Satria, Nur Rachmat
Kesmas Vol. 20, No. 5
Publisher : UI Scholars Hub

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Abstract

The Indonesian Government took some preventive measures to slow the spread of the COVID-19 virus, including social restrictions and encouraging individuals to stay at home and avoid needless gatherings. This study aimed to identify factors related to anxiety symptoms during large-scale social restrictions. This study employed a cross-sectional design using the snowball technique in an online survey. A total of 788 respondents comprised the target population to detect the smallest effect size (Cohen's dz = .2), with the level of power of 0.8 using G*Power 3.1, specifically targeting adults aged over 18 years. Out of 1,194 people who took part in the survey, 847 completed all the answers. The findings revealed that 42% of participants experienced feelings of nervousness, anxiety, or agitation, and 42.5% became easily agitated during the COVID-19 pandemic. Nonetheless, 81.7% of those surveyed reported being able to manage their concerns, and 80.7% had good time management during the COVID-19 pandemic. Descriptive analysis showed that sex, residence, marital status, number of children, occupational status, being infected by COVID-19, health concern, and time management had a relationship with anxiety symptoms.
Co-Authors Abdul Rohim Tulaeka Alimoeso, Sudibyo Indri Hapsari Susilowati Karl Peltzer Marzuki Isahak Nugraha, Susiana Orawan Kaewboonchoo Paul Ratanasiripong Sabarinah Prasetyo Simanjuntak, Magda Sabrina Theofany Supa Pengpid Susiana Nugraha Toai Nguyen Phuong Wah Yun Low