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.

Scalability of an IT Intervention to Prevent Pressure Ulcers in Nursing Homes.

BACKGROUND: Pressure ulcers pose an important quality-of-care challenge in nursing homes, with serious consequences for residents' health. We assessed the scalability of the On-Time Pressure Ulcer Prevention (On-Time) intervention strategy, developed by the Agency for Healthcare Research & Quality, in nursing homes nationwide. INTERVENTION: On-Time uses electronic health record reports to identify changes in resident pressure ulcer risk and facilitate multidisciplinary input into clinical decision making. OBJECTIVE: To assess the scalability and impact of On-Time on pressure ulcer incidence in nursing homes. DESIGN: We used quasi-experimental methods, employing a difference-in-differences design, to compare the pre-post trends in pressure ulcer incidence in the treatment and comparison homes. SETTING AND PARTICIPANTS: The study population included long-stay residents at high risk for developing pressure ulcers in 47 nursing homes and matched comparison homes in 17 states. MEASURES: Stage 2 to 4 pressure ulcer incidence among long-stay residents who met the criteria for high risk, identified using an algorithm adapted from the Minimum Data Set 3.0 Percent of High-Risk Residents with Pressure Ulcers (Long Stay) measure. RESULTS: The overall decline in pressure ulcer rates for treatment relative to matched comparison homes was statistically insignificant (P > .05). A subgroup of heterogeneous homes experienced a statistically significant decline of 3.24 percentage points (61.0% relative decrease) in pressure ulcer rates relative to matched comparison homes, but no uniting characteristic common across homes readily explained their success. CONCLUSIONS/IMPLICATIONS: Scalability of future health information technology-based quality improvement interventions in nursing home settings requires nuanced implementation support, particularly around electronic health record report accessibility and accuracy.

Continuity and innovation in the data collection protocols of the second Wave of the National Social Life, Health, and Aging Project.

BACKGROUND: The second Wave (W2) of the National Social Life, Health, and Aging Project (NSHAP), a nationally representative, longitudinal survey of older adults now between the ages of 62 and 90, conducted approximately 3,400 interviews. Selected coresidential romantic partners as well as W1 panel nonrespondents were selected for W2. Data collection included in-person questionnaires, up to 15 biomeasures, and a post-interview questionnaire. METHODS: A proxy questionnaire also collected data on respondents that were deceased or in too poor health to participate in W2. Biomeasure collection included height, weight, hip and waist circumference, blood pressure, heart rate, and preventricular contraction, timed walk and chair stands, smell, saliva collection using a Salivette (cortisol), saliva passive drool in a tube (dehydroepiandrosterone, estradiol, progesterone, testosterone), dried blood spots (Epstein-Barr virus antibody titers, C-reactive protein, glycosylated hemoglobin, hemoglobin, cholesterol, high-density lipoprotein), whole blood in a microtainer (cytokines), urine (creatinine, vasopressin, oxytocin), Oragene (genotype), respondent-administered vaginal swabs (bacterial vaginosis,yeast, and vaginal cell cytology), and Actiwatch (sleep patterns and activity). RESULTS: Measures, such as response and cooperation rates, are also provided to evaluate design and implementation. DISCUSSION: This article describes both innovation in the development and implementation of W2 as well as fidelity to W1 study design and data collection procedures.