1. UKM Learning and Research Repository
2. Master Thesis / Tesis Master
3. Faculty of Health Sciences / Fakulti Sains Kesihatan

Title:	Development and validation of a mobile applications (FALLSA©) to identify falls risk among Malaysian community dwelling older adults
Authors:	Muhammad Iqbal bin Shaharudin (P83879)
Supervisor:	Devinder Kaur Ajit Singh, Associate Professor Dr.
Keywords:	Fall Older adults Dissertations, Academic -- Malaysia
Issue Date:	27-Aug-2018
Description:	Falls in older adults is a global health concern due to its many negative consequences. This calls for early falls screening and prevention among older adults. The aims of this study were to develop a Falls Screening Mobile Application (FallSA©), determine its acceptance, validity and reliability as a self-screening tool to identify falls risk among Malaysian older adults. FallSA© was developed using data from TUG test, sociodemographic factors and falls related self-rated multifactorial questionnaire from a large population-based longitudinal study on a neuroprotective model for healthy longevity among older adults (LRGS TUA). FallSA© acceptance was tested among 15 participants with mean age of 65.93±7.42 years old; validity and reliability among 91 participants with mean age of 67.34±5.97 years old respectively in community-dwelling older adults. Acceptance of FallSA© was examined using a questionnaire and validated against a comprehensive falls risk assessment tool, Physiological Profile Assessments (PPA). Participants used FallSA© to test their falls risk by repeating the test twice between an hour. Acceptance, validity and test-retest reliability of FallSA© was examined by using descriptive, Spearman correlation, Kappa, sensitivity and specificity, intra correlation coefficient (ICC), Cronbach alpha and Bland-Altman analysis. The findings of our study showed that FallSA© acceptance was high with 80% participants agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (rs=0.518, p<0.001) and agreement (K=0.516, p<0.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA© had good reliability (ICC: 0.948, CI: 0.921-0.966), an internal consistency (α= 0.948, p<0.001) and agreement as indicated by small mean differences and narrow limits of agreement between the first and second trials. In conclusion, FallSA© is well accepted, a valid and reliable tool to identify falls risk among community-dwelling older adults. Further prospective studies are required to determine FallSA©'s predictive and discriminative ability in identifying falls risk among older adults.,Sarjana Sains Kesihatan
Pages:	111
Call Number:	WA288.M952d 2018 9
Publisher:	UKM, Kuala Lumpur
Appears in Collections:	Faculty of Health Sciences / Fakulti Sains Kesihatan

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