Cargando…
Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly
BACKGROUND: Fall risk screening using multiple methods was strongly advised as the initial step for preventing fall. Currently, there is only one such tool which was proposed by the U.S. Centers for Disease Control and Prevention (CDC) for use in its Stopping Elderly Accidents, Death & Injuries...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919544/ https://www.ncbi.nlm.nih.gov/pubmed/35282818 http://dx.doi.org/10.1186/s12916-022-02280-w |
_version_ | 1784668955291418624 |
---|---|
author | Loonlawong, Sriprapa Limroongreungrat, Weerawat Rattananupong, Thanapoom Kittipimpanon, Kamonrat Saisanan Na Ayudhaya, Wanvisa Jiamjarasrangsi, Wiroj |
author_facet | Loonlawong, Sriprapa Limroongreungrat, Weerawat Rattananupong, Thanapoom Kittipimpanon, Kamonrat Saisanan Na Ayudhaya, Wanvisa Jiamjarasrangsi, Wiroj |
author_sort | Loonlawong, Sriprapa |
collection | PubMed |
description | BACKGROUND: Fall risk screening using multiple methods was strongly advised as the initial step for preventing fall. Currently, there is only one such tool which was proposed by the U.S. Centers for Disease Control and Prevention (CDC) for use in its Stopping Elderly Accidents, Death & Injuries (STEADI) program. Its predictive validity outside the US context, however, has never been investigated. The purpose of this study was to determine the predictive validity (area under the receiver operating characteristic curve: AUC), sensitivity, and specificity of the two-step sequential fall-risk screening algorithm of the STEADI program for Thai elderly in the community. METHODS: A 1-year prospective cohort study was conducted during October 2018–December 2019. Study population consisted of 480 individuals aged 65 years or older living in Nakhon Ratchasima Province, Thailand. The fall risk screening algorithm composed of two serial steps. Step 1 is a screening by the clinician’s 3 key questions or the Thai Stay Independent brochure (Thai-SIB) 12 questions. Step 2 is a screening by 3 physical fitness testing tools including Time Up and Go test (TUG), 30-s Chair Stand, and 4-stage balance test. Participants were then followed for their fall incidents. Statistical analyses were conducted by using Cox proportional hazard model. The AUC, sensitivity, specificity, and other relevant predictive validity indices were then estimated. RESULTS: The average age of the participants was 73.3 ± 6.51 years (range 65–95 years), and 52.5% of them were female. The screening based on the clinician’s 3 key questions in Step 1 had a high AUC (0.845), with the sensitivity and specificity of 93.9% (95% CI 88.8, 92.7) and 75.0% (95% CI 70.0, 79.6), respectively. Appropriate risk categorization however differed slightly from the original STEADI program. CONCLUSIONS: With some modification, the fall risk screening algorithm based on the STEADI program was applicable in Thai context. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02280-w. |
format | Online Article Text |
id | pubmed-8919544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89195442022-03-16 Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly Loonlawong, Sriprapa Limroongreungrat, Weerawat Rattananupong, Thanapoom Kittipimpanon, Kamonrat Saisanan Na Ayudhaya, Wanvisa Jiamjarasrangsi, Wiroj BMC Med Research Article BACKGROUND: Fall risk screening using multiple methods was strongly advised as the initial step for preventing fall. Currently, there is only one such tool which was proposed by the U.S. Centers for Disease Control and Prevention (CDC) for use in its Stopping Elderly Accidents, Death & Injuries (STEADI) program. Its predictive validity outside the US context, however, has never been investigated. The purpose of this study was to determine the predictive validity (area under the receiver operating characteristic curve: AUC), sensitivity, and specificity of the two-step sequential fall-risk screening algorithm of the STEADI program for Thai elderly in the community. METHODS: A 1-year prospective cohort study was conducted during October 2018–December 2019. Study population consisted of 480 individuals aged 65 years or older living in Nakhon Ratchasima Province, Thailand. The fall risk screening algorithm composed of two serial steps. Step 1 is a screening by the clinician’s 3 key questions or the Thai Stay Independent brochure (Thai-SIB) 12 questions. Step 2 is a screening by 3 physical fitness testing tools including Time Up and Go test (TUG), 30-s Chair Stand, and 4-stage balance test. Participants were then followed for their fall incidents. Statistical analyses were conducted by using Cox proportional hazard model. The AUC, sensitivity, specificity, and other relevant predictive validity indices were then estimated. RESULTS: The average age of the participants was 73.3 ± 6.51 years (range 65–95 years), and 52.5% of them were female. The screening based on the clinician’s 3 key questions in Step 1 had a high AUC (0.845), with the sensitivity and specificity of 93.9% (95% CI 88.8, 92.7) and 75.0% (95% CI 70.0, 79.6), respectively. Appropriate risk categorization however differed slightly from the original STEADI program. CONCLUSIONS: With some modification, the fall risk screening algorithm based on the STEADI program was applicable in Thai context. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02280-w. BioMed Central 2022-03-14 /pmc/articles/PMC8919544/ /pubmed/35282818 http://dx.doi.org/10.1186/s12916-022-02280-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Loonlawong, Sriprapa Limroongreungrat, Weerawat Rattananupong, Thanapoom Kittipimpanon, Kamonrat Saisanan Na Ayudhaya, Wanvisa Jiamjarasrangsi, Wiroj Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly |
title | Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly |
title_full | Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly |
title_fullStr | Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly |
title_full_unstemmed | Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly |
title_short | Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly |
title_sort | predictive validity of the stopping elderly accidents, deaths & injuries (steadi) program fall risk screening algorithms among community-dwelling thai elderly |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919544/ https://www.ncbi.nlm.nih.gov/pubmed/35282818 http://dx.doi.org/10.1186/s12916-022-02280-w |
work_keys_str_mv | AT loonlawongsriprapa predictivevalidityofthestoppingelderlyaccidentsdeathsinjuriessteadiprogramfallriskscreeningalgorithmsamongcommunitydwellingthaielderly AT limroongreungratweerawat predictivevalidityofthestoppingelderlyaccidentsdeathsinjuriessteadiprogramfallriskscreeningalgorithmsamongcommunitydwellingthaielderly AT rattananupongthanapoom predictivevalidityofthestoppingelderlyaccidentsdeathsinjuriessteadiprogramfallriskscreeningalgorithmsamongcommunitydwellingthaielderly AT kittipimpanonkamonrat predictivevalidityofthestoppingelderlyaccidentsdeathsinjuriessteadiprogramfallriskscreeningalgorithmsamongcommunitydwellingthaielderly AT saisanannaayudhayawanvisa predictivevalidityofthestoppingelderlyaccidentsdeathsinjuriessteadiprogramfallriskscreeningalgorithmsamongcommunitydwellingthaielderly AT jiamjarasrangsiwiroj predictivevalidityofthestoppingelderlyaccidentsdeathsinjuriessteadiprogramfallriskscreeningalgorithmsamongcommunitydwellingthaielderly |