Dataset Information

Rehabilitation Services Use of Older Adults According to Fall-Risk Screening Guidelines.

ABSTRACT: OBJECTIVES:To characterize rehabilitation services use of older adults according to fall-risk classification based on screening guidelines. DESIGN:Cross-sectional analysis of 2015 National Health and Aging Trends Study. SETTING:Study participants' homes. PARTICIPANTS:National sample of 7,440 community-dwelling Medicare beneficiaries. MEASUREMENTS:In-person interviews and functional assessments. Based on Centers for Disease Control and Prevention Stopping Elderly Accidents, Deaths and Injuries criteria, participants were classified as low, moderate, or high fall risk. RESULTS:Twenty-three percent of older adults classified as moderate fall-risk (n = 2602) and 40.6% of those at high fall-risk (n = 940) reported rehabilitation services use in the past year. Among older adults who reported rehabilitation services in the past year (n = 1,505), treatment to address falls was reported by 2.8%, 12.6%, and 34.7% of those classified with low, moderate, and high fall-risk, respectively (p < 0.001). Older adults with high fall-risk who did not receive rehabilitation services had significantly better self-reported physical capacity (p = 0.02) but comparable physical performance (all p's > 0.05) relative to those who received rehabilitation. CONCLUSION:Older adults at high risk for falls were significantly more likely to report rehabilitation services use compared to those with low and moderate risk of falling. The findings also indicate that there is low adherence to national clinical recommendations for rehabilitation services use in older adults vulnerable to falls-related injury. Among the high fall-risk group, those who did not receive rehabilitation services had similarly low physical function as compared with those who received rehabilitation, indicating potential unmet need to address physical impairments related to fall-risk. J Am Geriatr Soc 67:100-107, 2019.

SUBMITTER: Gell NM

PROVIDER: S-EPMC6322948 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Rehabilitation Services Use of Older Adults According to Fall-Risk Screening Guidelines.

Gell Nancy M NM Patel Kushang V KV

Journal of the American Geriatrics Society 20181008 1

<h4>Objectives</h4>To characterize rehabilitation services use of older adults according to fall-risk classification based on screening guidelines.<h4>Design</h4>Cross-sectional analysis of 2015 National Health and Aging Trends Study.<h4>Setting</h4>Study participants' homes.<h4>Participants</h4>National sample of 7,440 community-dwelling Medicare beneficiaries.<h4>Measurements</h4>In-person interviews and functional assessments. Based on Centers for Disease Control and Prevention Stopping Elder ...[more]

PMID: 30295320

Similar Datasets

Project description:OBJECTIVES:To examine: (1) prevalence of fall risk-increasing drug (FRID) use among older adults with a fall-related injury, (2) which FRIDs were most frequently prescribed, (3) whether FRID use was reduced following the fall-related healthcare episode, and (4) which interventions have reduced falls or FRID use in older adults with a history of falls. DESIGN:Systematic review. PARTICIPANTS:Observational and intervention studies that assessed (or intervened on) FRID use in participants aged 60?years or older who had experienced a fall. MEASUREMENTS:PubMed and EMBASE were searched through June 30, 2019. Two reviewers independently extracted data and evaluated studies for bias. Discrepancies were resolved by consensus. RESULTS:Fourteen of 638 articles met selection criteria: 10 observational studies and 4 intervention studies. FRID use prevalence at time of fall-related injury ranged from 65% to 93%. Antidepressants and sedatives-hypnotics were the most commonly prescribed FRIDs. Of the 10 observational studies, only 2 used a design adequate to capture changes in FRID use after a fall-related injury, neither finding a reduction in FRID use. Three randomized controlled studies conducted in various settings (hospital, emergency department, and community pharmacy) with 12-month follow-up did not find a reduction in falls with interventions to reduce FRID use, although the study conducted in the community pharmacy setting was effective in reducing FRID use. In a nonrandomized (pre-post) intervention study conducted in an outpatient geriatrics clinic, falls were reduced in the intervention group. CONCLUSIONS:Limited evidence indicates high prevalence of FRID use among older adults who have experienced a fall-related injury and no reduction in overall FRID use following the fall-related healthcare encounter. There is a need for well-designed interventions to reduce FRID use and falls in older adults with a history of falls. Reducing FRID use as a stand-alone intervention may not be effective in reducing recurrent falls. J Am Geriatr Soc 68:1334-1343, 2020.

Project description:Background and Objectives: Falls account for the highest proportion of preventable injury among older adults. Thus, the United States' Centers for Disease Control and Prevention (CDC) developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) algorithm to screen for fall risk. We referred to our STEADI algorithm adaptation as "Quick-STEADI" and compared the predictive abilities of the three-level (low, moderate, and high risk) and two-level (at-risk and not at-risk) Quick-STEADI algorithms. We additionally assessed the qualitative implementation of the Quick-STEADI algorithm in clinical settings. Research Design and Methods: We followed a prospective cohort (N = 200) of adults (65+ years) in the Bassett Healthcare Network (Cooperstown, NY) for 6 months in 2019. We conducted a generalized linear mixed model, adjusting for sociodemographic variables, to determine how baseline fall risk predicted subsequent daily falls. We plotted receiver operating characteristic (ROC) curves and measured the area under the curve (AUC) to determine the predictive ability of the Quick-STEADI algorithm. We identified a participant sample (N = 8) to gauge the experience of the screening process and a screener sample (N = 3) to evaluate the screening implementation. Results: For the three-level Quick-STEADI algorithm, participants at low and moderate risk for falls had a reduced likelihood of daily falls compared to those at high risk (-1.09, p = 0.04; -0.99, p = 0.04). For the two-level Quick-STEADI algorithm, participants not at risk for falls were not associated with a reduced likelihood of daily falls compared to those at risk (-0.89, p = 0.13). The discriminatory ability of the three-level and two-level Quick-STEADI algorithm demonstrated similar predictability of daily falls, based on AUC (0.653; 0.6570). Furthermore, participants and screeners found the Quick-STEADI algorithm to be efficient and viable. Discussion and Implications: The Quick-STEADI is a suitable, alternative fall risk screening algorithm. Qualitative assessments of the Quick-STEADI algorithm demonstrated feasibility in integrating a falls screening program in a clinical setting. Future research should address the validation and the implementation of the Quick-STEADI algorithm in community health settings to determine if falls screening and prevention can be streamlined in these settings. This may increase engagement in fall prevention programs and decrease overall fall risk among older adults.

Dataset Information

Rehabilitation Services Use of Older Adults According to Fall-Risk Screening Guidelines.

Publications

Rehabilitation Services Use of Older Adults According to Fall-Risk Screening Guidelines.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets