Telemedicine-Based Risk Program to Prevent Falls Among Older Adults: Protocol for a Randomized Quality Improvement Trial.

BACKGROUND: The Center for Disease Control and Prevention's Stopping Elderly Accidents, Deaths, and Injuries (STEADI) initiative offers health care providers tools and resources to assist with fall risk screening and multifactorial fall risk assessment and interventions. Its effectiveness has never been evaluated in a randomized trial. OBJECTIVE: This study aims to describe the protocol for the STEADI Options Randomized Quality Improvement Trial (RQIT), which was designed to evaluate the impact on falls and all-cause health expenditures of a telemedicine-based form of STEADI implemented among older adults aged 65 years and older, within a primary care setting. METHODS: STEADI Options was a pragmatic RQIT implemented within a health system comparing a telemedicine version of the STEADI fall risk assessment to the standard of care (SOC). Before screening, we randomized all eligible patients in participating clinics into the STEADI arm or SOC arm based on their scheduled provider. All received the Stay Independent screener (SIS) to determine fall risk. Patients were considered at risk for falls if they scored 4 or more on the SIS or answered affirmatively to any 1 of the 3 key questions within the SIS. Patients screened at risk for falls and randomized to the STEADI arm were offered a registered nurse (RN)-led STEADI assessment through telemedicine; the RN provided assessment results and recommendations to the providers, who were advised to discuss fall-prevention strategies with their patients. Patients screened at risk for falls and randomized to the SOC arm were asked to participate in study data collection only. Data on recruitment, STEADI assessments, use of recommended prevention services, medications, and fall occurrences were collected using electronic health records and patient surveys. Using staff time diaries and administrative records, the study prospectively collected data on STEADI implementation costs and all-cause outpatient and inpatient charges incurred over the year following enrollment. RESULTS: The study enrolled 720 patients (n=307, 42.6% STEADI arm; n=353, 49% SOC arm; and n=60, 8.3% discontinued arm) from September 2020 to December 2021. Follow-up data collection was completed in January 2023. As of February 2024, data analysis is complete, and results are expected to be published by the end of 2025. CONCLUSIONS: The STEADI RQIT evaluates the impact of a telemedicine-based, STEADI-based fall risk assessment on falls and all-cause health expenditures and can provide information on the intervention's effectiveness and cost-effectiveness. TRIAL REGISTRATION: ClinicalTrials.gov NCT05390736, http://clinicaltrials.gov/ct2/show/NCT05390736. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/54395.

Hip Fracture-Related Emergency Department Visits, Hospitalizations and Deaths by Mechanism of Injury among Adults Aged 65 and Older, United States 2019.

OBJECTIVE: Describe rates of hip fracture-related emergency department (ED) visits, hospitalizations, and deaths among older adults (aged ≥65 years) in the United States. METHODS: Data from the 2019 Healthcare Cost and Utilization Project and National Vital Statistics System were used to calculate rates of hip fracture-related ED visits, hospitalizations, and deaths among older adults by select characteristics and mechanism of injury. RESULTS: In 2019, there were 318,797 ED visits, 290,130 hospitalizations, and 7731 deaths related to hip fractures among older adults. About 88% of ED visits and hospitalizations and approximately 83% of deaths related to hip fractures were caused by falls. Rates were highest among older adults living in rural areas and among those aged ≥85 years. DISCUSSION: Most hip fractures among older adults are fall-related. Healthcare providers can prevent falls among their older patients by screening for fall risk, assessing modifiable risk factors, and offering evidence-based interventions.

Special Report from the CDC Antidepressant subclass use and fall risk in community-dwelling older Americans.

INTRODUCTION: Falls among older adults are a significant health concern affecting more than a quarter of older adults (age 65+). Certain fall risk factors, such as medication use, increase fall risk among older adults (age 65+). AIM: The aim of this study is to examine the association between antidepressant-medication subclass use and self-reported falls in community-dwelling older adults. METHODS: This analysis used the 2009-2013 Medicare Current Beneficiary Survey, a nationally representative panel survey. A total of 8,742 community-dwelling older adults, representing 40,639,884 older Medicare beneficiaries, were included. We compared self-reported falls and psychoactive medication use, including antidepressant subclasses. These data are controlled for demographic, functional, and health characteristics associated with increased fall risk. Descriptive analyses and multivariate logistic regression analyses were conducted using SAS 9.4 and Stata 15 software. RESULTS: The most commonly used antidepressant subclass were selective serotonin reuptake inhibitors (SSRI) antidepressants (13.1%). After controlling for characteristics associated with increased fall risk (including depression and concurrent psychoactive medication use), the risk of falling among older adults increased by approximately 30% among those who used a SSRI or a serotonin-norepinephrine reuptake inhibitors (SNRI) compared to non-users. The adjusted risk ratio (aRR) for SSRI was 1.29 (95% CI = 1.13, 1.47) and for SNRI was 1.32 (95% CI = 1.07, 1.62). CONCLUSION: SSRI and SNRI are associated with increased risk of falling after adjusting for important confounders. Medication use is a modifiable fall risk factor in older adults and can be targeted to reduce risk of falls. Practical Applications: Use of selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors increased the risk of falling in older adults by approximately 30%, even after controlling for demographic, functional, and health characteristics, including depression. Health care providers can work towards reducing fall risk among their older patients by minimizing the use of certain medications when potential risks outweigh the benefits.

Update: Interim Guidance for Health Care Providers for Managing Patients with Suspected E-cigarette, or Vaping, Product Use-Associated Lung Injury - United States, November 2019.

CDC, the Food and Drug Administration (FDA), state and local health departments, and public health and clinical stakeholders are investigating a nationwide outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) (1). CDC has published recommendations for health care providers regarding EVALI (2-4). Recently, researchers from Utah and New York published proposed diagnosis and treatment algorithms for EVALI (5,6). EVALI remains a diagnosis of exclusion because, at present, no specific test or marker exists for its diagnosis, and evaluation should be guided by clinical judgment. Because patients with EVALI can experience symptoms similar to those associated with influenza or other respiratory infections (e.g., fever, cough, headache, myalgias, or fatigue), it might be difficult to differentiate EVALI from influenza or community-acquired pneumonia on initial assessment; EVALI might also co-occur with respiratory infections. This report summarizes recommendations for health care providers managing patients with suspected or known EVALI when respiratory infections such as influenza are more prevalent in the community than they have been in recent months (7). Recommendations include 1) asking patients with respiratory, gastrointestinal, or constitutional symptoms about the use of e-cigarette, or vaping, products; 2) evaluating those suspected to have EVALI with pulse oximetry and obtaining chest imaging, as clinically indicated; 3) considering outpatient management for clinically stable EVALI patients who meet certain criteria; 4) testing patients for influenza, particularly during influenza season, and administering antimicrobials, including antivirals, in accordance with established guidelines; 5) using caution when considering prescribing corticosteroids for outpatients, because this treatment modality has not been well studied among outpatients, and corticosteroids could worsen respiratory infections; 6) recommending evidence-based treatment strategies, including behavioral counseling, to help patients discontinue using e-cigarette, or vaping, products; and 7) emphasizing the importance of annual influenza vaccination for all persons aged ≥6 months, including patients who use e-cigarette, or vaping products.

Information for action? Analysis of 2005 South Asian earthquake reports posted on Reliefweb.

OBJECTIVE: Following a sudden-onset disaster (SOD), rapid information is needed. We assessed the relevance of information available for relief planning on a main Internet portal following a major SOD. METHODS: We reviewed all information posted on the Reliefweb Web site in the first 7 days following the 2005 South Asian earthquake using a predeveloped registration form focusing on essential indicators. These data were compared with Pakistani government figures posted by the Centre for Research on the Epidemiology of Disasters. RESULTS: A total of 820 reports were reviewed. More reports came from nongovernmental organizations (NGOs; 35%) than any other source. A total of 42% of reports addressed only national level information, while 32% specified information at the provincial level. Fewer than 12% of all reports discussed the earthquake at the more local division and district levels. Only 13 reports provided pre-earthquake estimates of the number of people living in the affected areas. A third of all reports cited a common figure of 2.5 million made homeless. These were lower than official figures of 5 million homeless. A total of 43% reported on the estimated number of deaths. The estimated number peaked on day 4 at 40 000. All of these reports were lower than official data, which reported 73 000 deaths in total. CONCLUSION: Early reports heavily underestimated the number of affected, homeless, injured, and dead. Many reports repeated information provided from previous unnamed sources rather than providing unique contributions from eyewitness reports or from contextual information based on previous work in the area. Better information on predisaster essential indicators should be available and used in combination with post-SOD information to better adapt humanitarian relief and funding according to needs.