Dataset Information

Evaluation of Tailored Falls Education on Older Adults' Behavior Following Hospitalization.

ABSTRACT: BACKGROUND:Older adults recently discharged from the hospital are known to be at risk of functional decline and falls. This study evaluated the effect of a tailored education program provided in the hospital on older adult engagement in fall prevention strategies within 6 months after hospital discharge. METHODS:A process evaluation of a randomized controlled trial that aimed to improve older adult fall prevention behaviors after hospital discharge. Participants (n = 390) were aged 60?years and older with good cognitive function (greater than 7 of 10 Abbreviated Mental Test Score), discharged home from three hospital rehabilitation wards in Perth, Australia. The primary outcomes were engagement in fall prevention strategies, including assistance with daily activities, home modifications, and exercise. Data were analyzed using generalized linear modeling. RESULTS:There were 76.4% (n = 292) of participants who completed the final interview (n = 149 intervention, n = 143 control). There were no significant differences between groups in engagement in fall prevention strategies, including receiving instrumental activity of daily living (IADL) assistance (adjusted odds ratio [AOR] = 1.3 [95% confidence interval {CI} = 0.7-2.1]; P = .3), completion of home modifications (AOR = 1.2 [95% CI = 0.7-1.9]; P = .4), and exercise (AOR = 1.3 [95% CI = 0.7-2.2]; P = .3). There was a high proportion of unmet ADL needs within both groups, and levels of participant dependency remained higher at 6 months compared to baseline levels at admission. The proportion of all participants who engaged in exercise following hospital discharge increased by 30%; however, the mean duration of exercise reduced from 3 hours per week at baseline to 1 hour per week at 6-month follow-up (SD = 1.12 hours per week). CONCLUSION:Tailored education did not increase older adult engagement in fall prevention strategies after hospital discharge compared to usual care. Further research is required to evaluate older adults' capacity to change their behaviors once they return home from hospital, which may enable a safer recovery of their independence. J Am Geriatr Soc 67:2274-2281, 2019.

SUBMITTER: Naseri C

PROVIDER: S-EPMC7539485 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Evaluation of Tailored Falls Education on Older Adults' Behavior Following Hospitalization.

Naseri Chiara C McPhail Steven M SM Haines Terrence P TP Morris Meg E ME Etherton-Beer Christopher C Shorr Ronald R Flicker Leon L Bulsara Max M Netto Julie J Lee Den-Ching A DA Francis-Coad Jacqueline J Waldron Nicholas N Boudville Amanda A Hill Anne-Marie AM

Journal of the American Geriatrics Society 20190702 11

<h4>Background</h4>Older adults recently discharged from the hospital are known to be at risk of functional decline and falls. This study evaluated the effect of a tailored education program provided in the hospital on older adult engagement in fall prevention strategies within 6 months after hospital discharge.<h4>Methods</h4>A process evaluation of a randomized controlled trial that aimed to improve older adult fall prevention behaviors after hospital discharge. Participants (n = 390) were age ...[more]

PMID: 31265139

Similar Datasets

Project description:INTRODUCTION:Older adults recently discharged from hospital have greater incidence of adverse events, functional decline, falls and subsequent readmission. Providing education to hospitalised patients on how to prevent falls at home could reduce postdischarge falls. There has been limited research investigating how older adults respond to tailored falls prevention education provided at hospital discharge. The aim of this study is to evaluate how providing tailored falls prevention education to older patients at the point of, and immediately after hospital discharge in addition to usual care, affects engagement in falls prevention strategies in the 6-months postdischarge period, including their capability and motivation to engage in falls prevention strategies. METHODS AND ANALYSES:This prospective observational cohort study is a process evaluation of a randomised controlled trial, using an embedded mixed-method design. Participants (n=390) who have been enrolled in the trial are over the age of 60 years, scoring greater than 7/10 on the Abbreviated Mental Test Score. Participants are being discharged from hospital rehabilitation wards in Perth, Western Australia, and followed up for 6?months postdischarge. Primary outcome measures for the process evaluation are engagement in falls prevention strategies, including exercise, home modifications and receiving assistance with activities of daily living. Secondary outcomes will measure capability, motivation and opportunity to engage in falls prevention strategies, based on the constructs of the Capability Opportunity Motivation Behaviour system. Quantitative data are collected at baseline, then at 6?months postdischarge using structured phone interviews. Qualitative data are collected from a purposive sample of the cohort, using semistructured in-depth phone interviews. Quantitative data will be analysed using regression modelling and qualitative data will be analysed using interpretive phenomenological analysis. ETHICS AND DISSEMINATION:Results will be presented in peer-reviewed journals and at conferences worldwide. This study is approved by hospital and university Human Research Ethics Committees.

Project description:BackgroundThe aims of the study were to evaluate the effect of providing tailored falls prevention education in hospital on: i) engagement in targeted falls prevention behaviors in the month after discharge: ii) patients' self-perceived risk and knowledge about falls and falls prevention strategies after receiving the education.MethodsA pilot randomized controlled trial (n = 50): baseline and outcome assessments conducted by blinded researchers.Participantshospital inpatients 60 years or older, discharged to the community. Participants were randomized into two groups. The intervention was a tailored education package consisting of multimedia falls prevention information with trained health professional follow-up, delivered in addition to usual care. Outcome measures were engagement in falls prevention behaviors in the month after discharge measured at one month after discharge with a structured survey, and participants' knowledge, confidence and motivation levels before and after receiving the education. The feasibility of providing the intervention was examined and falls outcomes (falls, fall-related injuries) were also collected.ResultsForty-eight patients (98%) provided follow-up data. The complete package was provided to 21 (84%) intervention group participants. Participants in the intervention group were significantly more likely to plan how to safely restart functional activities [Adjusted odds ratio 3.80, 95% CI (1.07, 13.52), p = 0.04] and more likely to complete other targeted behaviors such as completing their own home exercise program [Adjusted odds ratio 2.76, 95% CI (0.72, 10.50), p = 0.14] than the control group. The intervention group was significantly more knowledgeable, confident and motivated to engage in falls prevention strategies after receiving the education than the control group. There were 23 falls (n = 5 intervention; n = 18 control) and falls rates were 5.4/1000 patient days (intervention); 18.7/1000 patient days (control).ConclusionThis tailored education was received positively by older people, resulted in increased engagement in falls prevention strategies after discharge and is feasible to deliver to older hospital patients.Trial registrationThe study was registered with the Australian New Zealand Clinical Trials Registry; ACTRN12611000963921 on 8th November 2011.

Dataset Information

Evaluation of Tailored Falls Education on Older Adults' Behavior Following Hospitalization.

Publications

Evaluation of Tailored Falls Education on Older Adults' Behavior Following Hospitalization.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets