Comparison of Fall Risk Assessment Tools for Older Indonesian Adults in the Elderly Home and the Community
Downloads
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 JHFRAT
Keywords: Activities-Specific Balance Confidence scale, elderly, fall risk,
The Johns Hopkins Fall Risk Assessment Tool, the Stopping Elderly Accidents, Deaths, & InjuriesCenter of Diseas Control (2019) STEADI Older Fall Prevention, United States of America: Department of Health & Human Services.
Data and Information Center (2017) Analisis Situasi Lansia di Indonesia. Jakarta: Ministry of Health of the Republik of Indonesia.
De Mettelinge, T. R. et al. (2013) ‘Understanding the Relationship between Type 2 Diabetes Mellitus and Falls in Older Adults: A Prospective Cohort Study', PLoS One, 8(6), pp. 1–5.
Deniro, A. J. N., Sulistiawati, N. N. and Widajanti, N. (2017) ‘Hubungan antara Usia dan Aktivitas Sehari-Hari dengan Risiko Jatuh Pasien Instalasi Rawat Jalan Geriatri', Jurnal Penyakit Dalam Indonesia, 4(4), pp. 199–203.
Fristantia, D. A., Zulfitri, R. and Hasneli, Y. (2018) ‘Analisis Faktor-Faktor Yang Berhubungan Dengan Risiko Jatuh Pada Lansia Yang Tinggal Dirumah', Jurnal Online Mahasiswa Perpustakaan Fakultas Keperawatan, 5(1), pp. 161–170.
Gillespie, L. D. et al. (2009) Interventions for Preventing Falls in Older People Living in the Community. New Jersey: John Wiley & Sons, Ltd.
Gupta, S., Yadav, R. and Malhotra, A. K. (2017) ‘Assessment of physical disability using Barthel index among elderly of rural areas of district Jhansi (U.P), India', Journal of Family Medicine and Primary Care, 5(4), pp. 853–857.
Harkitasari, S. (2018) ‘Relationship between Activities Specific Balance Confidence (ABC) Scale with Age and Falls on Elderly in Wanasraya Nursing Home Denpasar', in IOP Conference Series: Materials Science and Engineering, pp. 1–4.
Health Research and Development Agency (2007) Riset Kesehatan Dasar 2007. Jakarta: Ministry of Health of the Republik of Indonesia.
Health Research and Development Agency (2013) Riset Kesehatan Dasar 2013. Jakarta: Ministry of Health of the Republik of Indonesia.
Hnizdo, S. et al. (2013) ‘Validity and reliability of the modified John Hopkins Fall Risk Assessment Tool for elderly patients in home health care', Geriatric Nursing, 34(5), pp. 423–427.
Hojati, H., Dadgari, A. and Mirrezaie, S. M. (2018) ‘Validity and Reliability of Persian Version of Johns Hopkins Fall Risk Assessment Tool among Aged People', Qom University of Medical Sciences, 12(2), pp. 45–53.
Joe, W., Rudra, S. and Subramanian, S. V. (2015) ‘Horizontal inequity in elderly health care utilization: Evidence from India', Journal of Korean Medical Science, 30(Supplementary 2), pp. S155–S166.
Johnston, Y. A. et al. (2019) ‘Implementation of the Stopping Elderly Accidents, Deaths, and Injuries Initiative in Primary Care: An Outcome Evaluation', The Gerontologist, 59(6), pp. 1182–1191.
Kaminska, M. S., Brodowski, J. and Karakiewicz, B. (2015) ‘Fall Risk Factors in Community-Dwelling Elderly Depending on Their Physical Function, Cognitive Status and Symptoms of Depression', International Journal of Environmental Research and Public Health, 12(4), pp. 3406–3416.
Kartika, A. D., Nurmasitoh, T. and Pramaningtyas, M. D. (2017) Perbedaan Hasil Tes Timed Up And Go Lansia yang Tinggal di Balai Pelayanan Sosial Tresna Werdha dibandingkan dengan Lansia yang Tinggal di Komunitas. A Scientific Paper. Yogyakarta: Faculty of Medicine, Universitas Islam Indonesia: Universitas Islam Indonesia.
KEMENKES (2017) ‘Analisis Situasi Lansia Di Indonesia'.
Kwan, E. and Straus, S. E. (2014) ‘Assessment and Management of Falls in Older People', Canadian Medical Association Journal, 186(16), pp. E610–E621.
Lawlor, D. A., Patel, R. and Ebrahim, S. (2003) ‘Association between Falls in Elderly Women and Chronic Diseases and Drug Use: Cross Sectional Study', BMJ, 327(7417), pp. 712–717.
Lohman, M. C. et al. (2017) ‘Operationalisation and Validation of the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) Fall Risk Algorithm in a Nationally Representative Sample', Journal of Epidemiology and Community Health, 71(12), pp. 1191–1197.
Moiz, J. A. et al. (2017) ‘Activities-Specific Balance Confidence Scale for Predicting Future Falls in Indian Older Adults', Clinical Interventions in Aging, 12, pp. 645–651.
Phelan, E. A. et al. (2015) ‘Assessment and Management of Fall Risk in Primary Care Settings', Medical Clinics of North America, 99(2), pp. 281–293.
Poe, S. S. et al. (2007) ‘The Johns Hopkins Fall Risk Assessment Tool: Post Implementation Evaluation', Journal of Nursing Care Quality, 22(4), pp. 293–298.
Rohaedi, S., Putri, S. T. and Karimah, A. D. (2016) ‘Tingkat Kemandirian Lansia dalam Activities Daily Living di Panti Sosial Tresna Werdha Senja Rawi', Jurnal Pendidikan Keperawatan Indonesia, 2(1), pp. 16–21.
Rubenstein, L. Z. (2006) ‘Clinical Risk Assessment, Interventions and Services Falls in Older People: Epidemiology, Risk Factors and Strategies for Prevention', Age and Ageing, 35(Supplementary 2), pp. 37–41.
Rudy, A. and Setyanto, R. B. (2019) ‘Analisis Faktor yang Mempengaruhi Risiko Jatuh pada Lansia', Jurnal Ilmiah Ilmu Kesehatan: Wawasan Kesehatan, 5(2), pp. 162–166.
Sabatini, S. N., Tambunan, L. and Kusuma, H. E. (2015) ‘Elderly House Environmental Fall Risk Factors in Yogyakarta', in The International Symposium on Architectural Interchanges in Asia, pp. 485–488.
Statistics Indonesia (2017a) Proyeksi Penduduk Indonesia 2010-2035. Jakarta: Statistics Indonesia.
Statistics Indonesia (2017b) Statistik Indonesia 2017 (Statistical Yearbook of Indonesia 2017). Jakarta: Statistics Indonesia.
Suhartati, C. (2014) Perbedaan Risiko Jatuh pada Lanjut Usia yang Mengikuti Senam dengan yang Tidak Mengikuti Senam di PSTW Yogyakarta Unit Budi Luhur. Undergraduate Thesis. Yogyakarta: Nursing Science Study Program, Sekolah Tinggi Ilmu Kesehatan 'Aisyiyah.
Supriyono, E. (2015) ‘Aktifitas Fisik Keseimbangan Guna Mengurangi Resiko Jatuh Pada Lansia', Jorpres (Jurnal Olahraga Berprestasi), 11(2), pp. 91–101.
Thiamwong, L. et al. (2008) ‘Thai Falls Risk Assessment Test (Thai-FRAT) Developed for Community-Dwelling Thai Elderly', Journal of the Medical Association of Thailand, 91(12), pp. 1823–1832.
Turcu, A. et al. (2004) ‘Falls and Depression in Older People', Gerontology, 50(5), pp. 303–308.
Utami, N. and Suratini, S. (2017) Hubungan Dukungan Keluarga dengan Risiko Jatuh pada Lansia di Desa Krasakan Lumbungrejo Tempel Sleman Yogyakarta. Undergraduate Thesis. Yogyakarta: Faculty of Health Sciences,Universitas 'Aisyiyah.
Van Voorhis, C. R. W. and Morgan, B. L. (2007) ‘Understanding Power and Rules of Thumb for Determining Sample Sizes', Tutorials in Quantitative Methods for Psychology, 3(2), pp. 43–50.
World Health Organization (2007) WHO Global Report on Fall Prevention in Older Age. Geneva: World Health Organization.
Yokoya, T., Demura, S. and Sato, S. (2007) ‘Relationships between Physical Activity, ADL Capability and Fall Risk in Community-Dwelling Japanese Elderly Population', Environmental Health and Preventive Medicine, 12(1), pp. 25–32.
In order to be accepted and published by The Indonesian Journal of Occupational Safety and Health, Author(s) who submit an article should complete all the review process. The copyright of received articles assigned to the The Indonesian Journal of Occupational Safety and Health and Department of Safety and Health, Universitas Airlangga as publishers of the journal. The intended copyright includes the rights to publish articles in various forms (including reprints).
The Editorial Team of The Indonesian Journal Of Occupational Safety and Health and Department of Safety and Health strive to ensure that no errors occur in the articles that have been published, both data errors and statements in the article.
Users of this website will be licensed to use materials from this website following the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. No fees charged. Please use the materials accordingly.
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Attribution ” You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial ” You may not use the material for commercial purposes.
ShareAlike ” If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
How to Submit Articles in OJS
