Fall Prevention Decision Making of Acute Care Registered Nurses.

OBJECTIVE: The aim of this study was to examine acute care registered nurses' (RNs') fall prevention decision-making. BACKGROUND: The RN decision-making process related to fall prevention needs to be investigated to ensure that hospital policies align with nursing workflow and support nursing judgment. METHODS: Qualitative semistructured interviews based on the Critical Decision Method were conducted with RNs about their planning and decision making during their last 12-hour shift worked. RESULTS: Data saturation was achieved with 12 RNs. Nine themes emerged related to the RN decision-making process and included hospital-level (eg, fear of discipline), unit-level (eg, value of bed alarm technology), and nurse-level (eg, professional judgment) factors that could influence fall prevention. CONCLUSIONS: Nursing administrators should consider a multilevel approach to fall prevention policies that includes promoting a practice environment that embraces self-reporting adverse events without fear of shame or being reprimanded, evaluating unit-level practice and technology acceptance and usability, and supporting autonomous nursing practice.

Unit-level variation in bed alarm use in US hospitals.

Bed and chair alarms are widely used in hospitals, despite lack of effectiveness and unintended negative consequences. In this cross-sectional, observational study, we examined alarm prevalence and contributions of patient- and unit-level factors to alarm use on 59 acute care nursing units in 57 US hospitals participating in the National Database of Nursing Quality Indicators®. Nursing unit staff reported data on patient-level fall risk and fall prevention measures for 1,489 patients. Patient-level propensity scores for alarm use were estimated using logistic regression. Expected alarm use on each unit, defined as the mean patient propensity-for-alarm score, was compared with the observed rate of alarm use. Over one-third of patients assessed had an alarm in the "on" position. Patient characteristics associated with higher odds of alarm use included recent fall, need for ambulation assistance, poor mobility judgment, and altered mental status. Observed rates of unit alarm use ranged from 0% to 100% (median 33%, 10th percentile 5%, 90th percentile 67%). Expected alarm use varied less (median 31%, 10th percentile 27%, and 90th percentile 45%). Only 29% of variability in observed alarm use was accounted for by expected alarm use. Unit assignment was a stronger predictor of alarm use than patient-level fall risk variables. Alarm use is common, varies widely across hospitals, and cannot be fully explained by patient fall risk factors; alarm use is driven largely by unit practices. Alarms are used too frequently and too indiscriminately, and guidance is needed for optimizing alarm use to reduce noise and encourage mobility in appropriate patients.

In-Hospital Sequelae of Injurious Falls in 24 Medical/Surgical Units in Four Hospitals in the United States.

BACKGROUND: Up to 50% of patient falls in the hospital result in injury. This study was conducted to determine whether injurious falls were associated with increased hospital length of stay (LOS), discharge to a place other than home, and in-hospital mortality. METHODS: A secondary data analysis from a prospective case-control study was conducted in 24 medical/surgical units in four hospitals in the United States. Patients who fell and sustained an injury were matched with at least one control patient who was on the same unit, at the same time, for a similar number of days on the unit at the time of the fall. Data were collected by viewing patients' electronic health records, as well as the hospitals' incident reporting systems. Logistic regression and Cox regression analyses were conducted. RESULTS: The 1,033 patients (mean age, 63.7 years; 510 males [49.4%]) who sustained an injurious fall were matched with 1,206 controls (mean age, 61.6 years; 486 males [40.3%]). Fallers were significantly more likely than controls to stay longer than 10 days in the hospital (odds ratio [OR], 1.59; 95% confidence interval [CI] = 1.46-1.74) and to be discharged to a place other than home (OR, 1.52; 95% CI = 1.21-1.91). CONCLUSION: Compared to controls, hospital patients who sustained an injurious fall had longer LOS and were more likely discharged to a place other than home. These associations remained when controlling for patient-level confounders, suggesting that the fall altered trajectory was sustained toward these outcomes. Injurious falls were not significantly associated with increased risk of mortality.

Nursing Skill Mix, Nurse Staffing Level, and Physical Restraint Use in US Hospitals: a Longitudinal Study.

BACKGROUND: Although it is plausible that nurse staffing is associated with use of physical restraints in hospitals, this has not been well established. This may be due to limitations in previous cross-sectional analyses lacking adequate control for unmeasured differences in patient-level variables among nursing units. OBJECTIVE: To conduct a longitudinal study, with units serving as their own control, examining whether nurse staffing relative to a unit's long-term average is associated with restraint use. DESIGN: We analyzed 17 quarters of longitudinal data using mixed logistic regression, modeling quarterly odds of unit restraint use as a function of quarterly staffing relative to the unit's average staffing across study quarters. SUBJECTS: 3101 medical, surgical, and medical-surgical units in US hospitals participating in the National Database of Nursing Quality Indicators during 2006-2010. Units had to report at least one quarter with restraint use and one quarter without. MAIN MEASURES: We studied two nurse staffing variables: staffing level (total nursing hours per patient day) and nursing skill mix (proportion of nursing hours provided by RNs). Outcomes were any use of restraint, regardless of reason, and use of restraint for fall prevention. KEY RESULTS: Nursing skill mix was inversely correlated with restraint use for fall prevention and for any reason. Compared to average quarters, odds of fall prevention restraint and of any restraint were respectively 16 % (95 % CI: 3-29 %) and 18 % (95 % CI: 8-29 %) higher for quarters with very low skill mix. CONCLUSIONS: In this longitudinal study there was a strong negative correlation between nursing skill mix and physical restraint use. Ensuring that skill mix is consistently adequate should reduce use of restraint.

Antidepressant Use and Recurrent Falls in Community-Dwelling Older Adults: Findings From the Health ABC Study.

BACKGROUND: Few studies have compared the risk of recurrent falls across various antidepressant agents-using detailed dosage and duration data-among community-dwelling older adults, including those who have a history of a fall/fracture. OBJECTIVE: To examine the association of antidepressant use with recurrent falls, including among those with a history of falls/fractures, in community-dwelling elders. METHODS: This was a longitudinal analysis of 2948 participants with data collected via interview at year 1 from the Health, Aging and Body Composition study and followed through year 7 (1997-2004). Any antidepressant medication use was self-reported at years 1, 2, 3, 5, and 6 and further categorized as (1) selective serotonin reuptake inhibitors (SSRIs), (2) tricyclic antidepressants, and (3) others. Dosage and duration were examined. The outcome was recurrent falls (≥2) in the ensuing 12-month period following each medication data collection. RESULTS: Using multivariable generalized estimating equations models, we observed a 48% greater likelihood of recurrent falls in antidepressant users compared with nonusers (adjusted odds ratio [AOR] = 1.48; 95% CI = 1.12-1.96). Increased likelihood was also found among those taking SSRIs (AOR = 1.62; 95% CI = 1.15-2.28), with short duration of use (AOR = 1.47; 95% CI = 1.04-2.00), and taking moderate dosages (AOR = 1.59; 95% CI = 1.15-2.18), all compared with no antidepressant use. Stratified analysis revealed an increased likelihood among users with a baseline history of falls/fractures compared with nonusers (AOR = 1.83; 95% CI = 1.28-2.63). CONCLUSION: Antidepressant use overall, SSRI use, short duration of use, and moderate dosage were associated with recurrent falls. Those with a history of falls/fractures also had an increased likelihood of recurrent falls.

Intensive vs Standard Blood Pressure Control and Cardiovascular Disease Outcomes in Adults Aged ≥75 Years: A Randomized Clinical Trial.

IMPORTANCE: The appropriate treatment target for systolic blood pressure (SBP) in older patients with hypertension remains uncertain. OBJECTIVE: To evaluate the effects of intensive (<120 mm Hg) compared with standard (<140 mm Hg) SBP targets in persons aged 75 years or older with hypertension but without diabetes. DESIGN, SETTING, AND PARTICIPANTS: A multicenter, randomized clinical trial of patients aged 75 years or older who participated in the Systolic Blood Pressure Intervention Trial (SPRINT). Recruitment began on October 20, 2010, and follow-up ended on August 20, 2015. INTERVENTIONS: Participants were randomized to an SBP target of less than 120 mm Hg (intensive treatment group, n = 1317) or an SBP target of less than 140 mm Hg (standard treatment group, n = 1319). MAIN OUTCOMES AND MEASURES: The primary cardiovascular disease outcome was a composite of nonfatal myocardial infarction, acute coronary syndrome not resulting in a myocardial infarction, nonfatal stroke, nonfatal acute decompensated heart failure, and death from cardiovascular causes. All-cause mortality was a secondary outcome. RESULTS: Among 2636 participants (mean age, 79.9 years; 37.9% women), 2510 (95.2%) provided complete follow-up data. At a median follow-up of 3.14 years, there was a significantly lower rate of the primary composite outcome (102 events in the intensive treatment group vs 148 events in the standard treatment group; hazard ratio [HR], 0.66 [95% CI, 0.51-0.85]) and all-cause mortality (73 deaths vs 107 deaths, respectively; HR, 0.67 [95% CI, 0.49-0.91]). The overall rate of serious adverse events was not different between treatment groups (48.4% in the intensive treatment group vs 48.3% in the standard treatment group; HR, 0.99 [95% CI, 0.89-1.11]). Absolute rates of hypotension were 2.4% in the intensive treatment group vs 1.4% in the standard treatment group (HR, 1.71 [95% CI, 0.97-3.09]), 3.0% vs 2.4%, respectively, for syncope (HR, 1.23 [95% CI, 0.76-2.00]), 4.0% vs 2.7% for electrolyte abnormalities (HR, 1.51 [95% CI, 0.99-2.33]), 5.5% vs 4.0% for acute kidney injury (HR, 1.41 [95% CI, 0.98-2.04]), and 4.9% vs 5.5% for injurious falls (HR, 0.91 [95% CI, 0.65-1.29]). CONCLUSIONS AND RELEVANCE: Among ambulatory adults aged 75 years or older, treating to an SBP target of less than 120 mm Hg compared with an SBP target of less than 140 mm Hg resulted in significantly lower rates of fatal and nonfatal major cardiovascular events and death from any cause. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01206062.

Improving identification of fall-related injuries in ambulatory care using statistical text mining.

OBJECTIVES: We determined whether statistical text mining (STM) can identify fall-related injuries in electronic health record (EHR) documents and the impact on STM models of training on documents from a single or multiple facilities. METHODS: We obtained fiscal year 2007 records for Veterans Health Administration (VHA) ambulatory care clinics in the southeastern United States and Puerto Rico, resulting in a total of 26 010 documents for 1652 veterans treated for fall-related injury and 1341 matched controls. We used the results of an STM model to predict fall-related injuries at the visit and patient levels and compared them with a reference standard based on chart review. RESULTS: STM models based on training data from a single facility resulted in accuracy of 87.5% and 87.1%, F-measure of 87.0% and 90.9%, sensitivity of 92.1% and 94.1%, and specificity of 83.6% and 77.8% at the visit and patient levels, respectively. Results from training data from multiple facilities were almost identical. CONCLUSIONS: STM has the potential to improve identification of fall-related injuries in the VHA, providing a model for wider application in the evolving national EHR system.

Anticholinergic Use and Recurrent Falls in Community-Dwelling Older Adults: Findings From the Health ABC Study.

BACKGROUND: Although it is generally accepted that anticholinergic use may lead to a fall, results from studies assessing the association between anticholinergic use and falls are mixed. In addition, direct evidence of an association between use of anticholinergic medications and recurrent falls among community-dwelling elders is not available. OBJECTIVE: To assess the association between anticholinergic use across multiple anticholinergic subclasses, including over-the-counter medications, and recurrent falls. METHODS: This was a longitudinal analysis of 2948 participants, with data collected via interview at year 1 from the Health, Aging and Body Composition study and followed through year 7 (1997-2004). Self-reported use of anticholinergic medication was identified at years 1, 2, 3, 5, and 6 as defined by the list from the 2015 American Geriatrics Society Beers Criteria. Dosage and duration were also examined. The main outcome was recurrent falls (≥2) in an ensuing 12-month period from each medication data collection. RESULTS: Using multivariable generalized estimating equation models, controlling for demographic, health status/behaviors, and access-to-care factors, a 34% increase in likelihood of recurrent falls in anticholinergic users (adjusted odds ratio = 1.34; 95% CI = 0.93-1.93) was observed, but the results were not statistically significant; similar results were found with higher doses and longer duration of use. CONCLUSION: Increased point estimates suggest an association of anticholinergic use with recurrent falls, but the associations did not reach statistical significance. Future studies are needed for more definitive evidence and to examine other measures of anticholinergic burden and associations with more intermediate adverse effects such as cognitive function.

Assisted and unassisted falls: different events, different outcomes, different implications for quality of hospital care.

BACKGROUND: Many hospitals classify inpatient falls as assisted (if a staff member is present to ease the patient's descent or break the fall) or unassisted for quality measurement purposes. Unassisted falls are more likely to result in injury, but there is limited research quantifying this effect or linking the assisted/unassisted classification to processes of care. A study was conducted to link the assisted/unassisted fall classification to both processes and outcomes of care, thereby demonstrating its suitability for use in quality measurement. This was only the second known published study to quantify the increased risk of injury associated with falling unassisted (versus assisted), and the first to estimate the effects of falling unassisted (versus assisted) on the likelihood of specific levels of injury. METHODS: A cross-sectional analysis of falls from all available 2011 data for 6,539 adult medical, surgical, and medical-surgical units in 1,464 general hospitals participating in the National Database of Nursing Quality Indicators" (NDNQI) was performed. RESULTS: Participating units reported 166,883 falls (3.44 falls per 1,000 patient-days). Excluding repeat falls, 85.5% of falls were unassisted. Assisted and unassisted falls were associated with different processes and outcomes: Fallers for whom a fall prevention protocol was not in place were more likely to fall unassisted than those for whom one was in place (adjusted odds ratio [aOR], 1.39 [95% confidence interval (CI), 1.32, 1.46]), and unassisted falls were more likely to result in injury (aOR, 1.59 [95% CI, 1.52, 1.67]). CONCLUSIONS: The assisted/unassisted fall classification is associated with care processes and patient outcomes, making it suitable for quality measurement. Unassisted falls are more likely than assisted falls to result in injury and should be considered a target for future prevention efforts.

Determinants of hospital fall rate trajectory groups: a longitudinal assessment of nurse staffing and organizational characteristics.

BACKGROUND: Patient falls in acute care hospitals represent a significant patient safety concern. Although cross-sectional studies have shown that fall rates vary widely between acute care hospitals, it is not clear whether hospital fall rates remain consistent over time. PURPOSE: The aim of this study was to determine whether hospitals can be categorized into fall rate trajectory groups over time and to identify nurse staffing and hospital characteristics associated with hospital fall rate trajectory groups. METHODOLOGY/APPROACH: We conducted a 54-month (July 2006-December 2010) longitudinal study of U.S. acute care general hospitals participating in the National Database for Nursing Quality Indicators (2007). We used latent class growth modeling to categorize hospitals into groups based on their long-term fall rates. Nurse staffing and hospital characteristics associated with membership in the highest hospital fall rate group were identified using logistic regression. FINDINGS: A sample of 1,529 hospitals (mean fall rate of 3.65 per 1,000 patient days) contributed data to the analysis. Latent class growth modeling findings classified hospital into three groups based on fall rate trajectories: consistently high (mean fall rate of 4.96 per 1,000 patient days), consistently medium (mean fall rate of 3.63 per 1,000 patient days), and consistently low (mean fall rate of 2.50 per 1,000 patient days). Hospitals with higher total nurse staffing (odds ratio [OR] = 0.92, 95% confidence interval [CI] [0.85, 0.99]), Magnet status (OR = 0.49, 95% CI [0.35, 0.70]), and bed size greater than 300 beds (OR = 0.70, 95% CI [0.51, 0.94]) were significantly less likely to be categorized in the "consistently high" fall rate group. PRACTICE IMPLICATIONS: Over this 54-month period, hospitals were categorized into three groups based on long-term fall rates. Hospital-level factors differed among these three groups. This suggests that there may be hospitals in which "best practices" for fall prevention might be identified. In addition, administrators may be able to reduce fall rates by maintaining greater nurse staffing ratios as well as fostering an environment consistent with that of Magnet hospitals.

Injurious Fall Risk Differences Among Older Adults With First-Line Depression Treatments.

Importance: One-third of older adults in the US have depression, often treated with psychotherapy and antidepressants. Previous studies suggesting an increased risk of falls and related injuries (FRI) associated with antidepressant use may be affected by confounding by indication or immortal time bias. Objective: To evaluate the association between FRI risk and first-line treatments in older adults with depression. Design, Setting, and Participants: This cohort study used a target trial emulation framework with a cloning-censoring-weighting approach with Medicare claims data from 2016 to 2019. Participants included fee-for-service beneficiaries aged 65 years or older with newly diagnosed depression. Data were analyzed from October 1, 2023, to March 31, 2024. Exposures: First-line depression treatments including psychotherapy, sertraline, escitalopram, citalopram, mirtazapine, duloxetine, trazodone, fluoxetine, bupropion, paroxetine, and venlafaxine. Main Outcome and Measure: One-year FRI rate, restricted mean survival time (RMST), and adjusted hazard ratio (aHR) with 95% CI. Results: Among 101 953 eligible beneficiaries (mean [SD] age, 76 [8] years), 63 344 (62.1%) were female, 7404 (7.3%) were Black individuals, and 81 856 (80.3%) were White individuals. Compared with the untreated group, psychotherapy use was not associated with FRI risk (aHR, 0.94 [95% CI, 0.82-1.17]), while other first-line antidepressants were associated with a decreased FRI risk (aHR ranged from 0.74 [95% CI, 0.59-0.89] for bupropion to 0.83 [95% CI, 0.67-0.98] for escitalopram). The FRI incidence ranged from 63 (95% CI, 53-75) per 1000 person-year for those treated with bupropion to 87 (95% CI, 83-90) per 1000 person-year for those who were untreated. The RMST ranged from 349 (95% CI, 346-350) days for those who were untreated to 353 (95% CI, 350-356) days for those treated with bupropion. Conclusions and Relevance: In this cohort study of older Medicare beneficiaries with depression, first-line antidepressants were associated with a decreased FRI risk compared with untreated individuals. These findings provide valuable insights into their safety profiles, aiding clinicians in their consideration for treating depression in older adults.

Association between Opioid-Benzodiazepine Trajectories and Injurious Fall Risk among US Medicare Beneficiaries.

Background/Objectives: Concurrent opioid (OPI) and benzodiazepine (BZD) use may exacerbate injurious fall risk (e.g., falls and fractures) compared to no use or use alone. Yet, patients may need concurrent OPI-BZD use for co-occurring conditions (e.g., pain and anxiety). Therefore, we examined the association between longitudinal OPI-BZD dosing patterns and subsequent injurious fall risk. Methods: We conducted a retrospective cohort study including non-cancer fee-for-service Medicare beneficiaries initiating OPI and/or BZD in 2016-2018. We identified OPI-BZD use patterns during the 3 months following OPI and/or BZD initiation (i.e., trajectory period) using group-based multi-trajectory models. We estimated the time to first injurious falls within the 3-month post-trajectory period using inverse-probability-of-treatment-weighted Cox proportional hazards models. Results: Among 622,588 beneficiaries (age ≥ 65 = 84.6%, female = 58.1%, White = 82.7%; having injurious falls = 0.45%), we identified 13 distinct OPI-BZD trajectories: Group (A): Very-low OPI-only (early discontinuation) (44.9% of the cohort); (B): Low OPI-only (rapid decline) (15.1%); (C): Very-low OPI-only (late discontinuation) (7.7%); (D): Low OPI-only (gradual decline) (4.0%); (E): Moderate OPI-only (rapid decline) (2.3%); (F): Very-low BZD-only (late discontinuation) (11.5%); (G): Low BZD-only (rapid decline) (4.5%); (H): Low BZD-only (stable) (3.1%); (I): Moderate BZD-only (gradual decline) (2.1%); (J): Very-low OPI (rapid decline)/Very-low BZD (late discontinuation) (2.9%); (K): Very-low OPI (rapid decline)/Very-low BZD (increasing) (0.9%); (L): Very-low OPI (stable)/Low BZD (stable) (0.6%); and (M): Low OPI (gradual decline)/Low BZD (gradual decline) (0.6%). Compared with Group (A), six trajectories had an increased 3-month injurious falls risk: (C): HR = 1.78, 95% CI = 1.58-2.01; (D): HR = 2.24, 95% CI = 1.93-2.59; (E): HR = 2.60, 95% CI = 2.18-3.09; (H): HR = 2.02, 95% CI = 1.70-2.40; (L): HR = 2.73, 95% CI = 1.98-3.76; and (M): HR = 1.96, 95% CI = 1.32-2.91. Conclusions: Our findings suggest that 3-month injurious fall risk varied across OPI-BZD trajectories, highlighting the importance of considering both dose and duration when assessing injurious fall risk of OPI-BZD use among older adults.

Racial differences in antilipemic use and lipid control in high-risk older adults: post-Medicare Part D.

BACKGROUND: Older blacks are less likely to receive guideline-recommended antilipemic therapy and achieve lipid control than older whites because, in part, of out-of-pocket costs. We sought to determine whether racial differences in antilipemic use and lipid control narrowed after Medicare Part D's implementation. METHODS: This before-after study included 1,091 black and white adults 70 years or older with coronary heart disease and/or diabetes mellitus from the Health Aging and Body Composition Study. Primary outcomes were antilipemic use and low-density lipoprotein cholesterol control. Key independent variables were race, time (pre-Part D vs post-Part D), and their interaction. RESULTS: Before Part D, fewer blacks than whites reported taking an antilipemic (32.70% vs 49.35%), and this difference was sustained after Part D (blacks 48.30% vs whites 64.57%). Multivariable generalized estimating equations confirmed no post-Part D change in racial differences in antilipemic use (adjusted ratio of the odds ratio 1.07, 95% CI 0.79-1.45). Compared with whites, more blacks had poor lipid control both before Part D (24.30% vs 12.36%, respectively) and after Part D (24.46% vs 13.72%, respectively), with no post-Part D change in racial differences in lipid control (adjusted ratio of the odds ratio 0.82, 95% CI 0.51-1.33). CONCLUSION: Although antilipemic use increased after Medicare Part D for both races, this policy change was associated with a change neither in lipid control for either racial group nor in the racial differences in antilipemic use or lipid control.

Effects of an intervention to increase bed alarm use to prevent falls in hospitalized patients: a cluster randomized trial.

BACKGROUND: Bed alarm systems intended to prevent hospital falls have not been formally evaluated. OBJECTIVE: To investigate whether an intervention aimed at increasing bed alarm use decreases hospital falls and related events. DESIGN: Pair-matched, cluster randomized trial over 18 months. Nursing units were allocated by computer-generated randomization on the basis of baseline fall rates. Patients and outcome assessors were blinded to unit assignment; outcome assessors may have become unblinded. (ClinicalTrials.gov registration number: NCT00183053) SETTING: 16 nursing units in an urban community hospital. PATIENTS: 27 672 inpatients in general medical, surgical, and specialty units. INTERVENTION: Education, training, and technical support to promote use of a standard bed alarm system (intervention units); bed alarms available but not formally promoted or supported (control units). MEASUREMENTS: Pre-post difference in change in falls per 1000 patient-days (primary end point); number of patients who fell, fall-related injuries, and number of patients restrained (secondary end points). RESULTS: Prevalence of alarm use was 64.41 days per 1000 patient-days on intervention units and 1.79 days per 1000 patient-days on control units (P = 0.004). There was no difference in change in fall rates per 1000 patient-days (risk ratio, 1.09 [95% CI, 0.85 to 1.53]; difference, 0.41 [CI, -1.05 to 2.47], which corresponds to a greater difference in falls in control vs. intervention units) or in the number of patients who fell, injurious fall rates, or the number of patients physically restrained on intervention units compared with control units. LIMITATION: The study was conducted at a single site and was slightly underpowered compared with the initial design. CONCLUSION: An intervention designed to increase bed alarm use in an urban hospital increased alarm use but had no statistically or clinically significant effect on fall-related events or physical restraint use. PRIMARY FUNDING SOURCE: National Institute on Aging.

Alarm with care-a de-implementation strategy to reduce fall prevention alarm use in US hospitals: a study protocol for a hybrid 2 effectiveness-implementation trial.

BACKGROUND: Fall prevention alarms are commonly used among US hospitals as a fall prevention strategy despite limited evidence of effectiveness. Further, fall prevention alarms are harmful to healthcare staff (e.g., alarm fatigue) and patients (e.g., sleep disturbance, mobility restriction). There is a need for research to develop and test strategies for reducing use of fall prevention alarms in US hospitals. METHODS: To address this gap, we propose testing the effectiveness and implementation of Alarm with Care, a de-implementation strategy to reduce fall prevention alarm use using a stepped-wedge randomized controlled trial among 30 adult medical or medical surgical units from nonfederal US acute care hospitals. Guided by the Choosing Wisely De-Implementation Framework, we will (1) identify barriers to fall prevention alarm de-implementation and develop tailored de-implementation strategies for each unit and (2) compare the implementation and effectiveness of high- versus low-intensity coaching to support site-specific de-implementation of fall prevention alarms. We will evaluate effectiveness and implementation outcomes and examine the effect of multi-level (e.g., hospital, unit, and patient) factors on effectiveness and implementation. Rate of fall prevention alarm use is the primary outcome. Balancing measures will include fall rates and fall-related injuries. Implementation outcomes will include feasibility, acceptability, appropriateness, and fidelity. DISCUSSION: Findings from this line of research could be used to support scale-up of fall prevention alarm de-implementation in other healthcare settings. Further, research generated from this proposal will advance the field of de-implementation science by determining the extent to which low-intensity coaching is an effective and feasible de-implementation strategy. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT06089239 . Date of registration: October 17, 2023.

Is it possible to identify risks for injurious falls in hospitalized patients?

BACKGROUND: Patient falls are among the most commonly reported adverse hospital events with more than one million occurring annually in the United States; approximately 10% result in serious injury. A retrospective study was conducted to determine predictors and outcomes of fall injuries among a cohort of adult hospitalized patients. METHODS: Data were obtained regarding patients who sustained an initial fall in hospital during a 26-month period from 16 adult general medical and surgical units in an urban university-affiliated community hospital. Data on intrinsic (individual) factors, extrinsic (environmental) factors, and situational activities were collected via nurse and patient interviews, patient examinations, and audits of incident reports and electronic health records. Fall injuries were classified as none/any for analyses. Unadjusted odds ratios [ORs] and 95% confidence intervals [CIs] for each of the variables of interest with fall injury were generated using logistic regressions. RESULTS: The 784 patients had a median age of 63.5 years (range, 20 to > 90 years), 390 (50%) were women, and 526 (67%) were black. Some 228 (29%) fallers sustained injury; patients who were white (OR: 2.23; 95% CI: 1.62, 3.08), or were administered a selective serotonin reuptake inhibitor (OR: 1.04; 95% CI: 1.04, 2.67), two antipsychotic agents (OR: 3.26; 95% CI: 1.20, 8.90), an opiate (OR: 1.59; 95%; CI: 1.14, 2.20), or a diuretic non-antihypertensive agent (OR: 1.53; 95% CI: 1.03, 2.26) were more likely to sustain an injury. Home-based wheelchair use was protective of fall injury (OR: 0.20; 95% CI: 0.05, 0.84). Seventy-nine percent of the patients had been designated as "high" fall risk within 24 hours before the fall. CONCLUSIONS: Few variables were able to distinguish patients who sustained injury after a hospital fall, further challenging clinicians' efforts to minimize hospital-related fall injury.

Is There a Relationship Between Facility Peer Review Findings and Quality in the Veterans Health Administration?

Background: The aim of clinical peer review (PR) is to improve facility health care quality. However, prior authors have shown that PR may be biased, have rater reliability concerns, or be used for punitive reasons. It is important to determine whether facility PR processes are related to objective facility quality of care. Methods: We collected proportion of PR findings that "most experienced and competent clinicians may have managed the case differently" or "most experienced and competent clinicians would have managed the case differently" as an objective measure of facility PR processes and outcomes. We correlated these with facility quality metrics for 2019. Results: PR findings were not associated with facility quality metrics but were strongly associated with previous year findings. Conclusions: This study describes a potentially new source of bias in PR and demonstrates that objective facility outcomes are not related to individual PR findings.

Fall Prevention Practices and Implementation Strategies: Examining Consistency Across Hospital Units.

OBJECTIVE: Our study examines how consistently fall prevention practices and implementation strategies are used by U.S. hospitals. METHODS: We conducted a cross-sectional, descriptive study of 60 general adult hospital units.We administered a survey measuring 5 domains of fall prevention practices: visibility and identification, bed modification, patient monitoring, patient safety, and education. We measured 4 domains of implementation strategies including quality management (e.g., providing data and support for quality improvement), planning (e.g., designating leadership), education (e.g., providing consultation and training), and restructuring (e.g., revising staff roles and modifying equipment). RESULTS: Of 60 units, 43% were medical units and 57% were medical-surgical units. The hospital units varied in fall prevention practices, with practices such as keeping a patient's bed in a locked position (73% strongly agree) being used more consistently than other practices, such as scheduled toileting (15% strongly agree). Our study observed variation in fall prevention implementation strategies. For example, publicly posting fall rates (60% strongly agree) was more consistently used than having a multidisciplinary huddle after a fall event (12% strongly agree). CONCLUSIONS: There is substantial variation in the implementation of fall prevention practices and implementation strategies across inpatient units. Our study found that resource-intensive practices (e.g., scheduled toileting) are less consistently used than less resource-intensive practices and that interdisciplinary approaches to fall prevention are limited. Future studies should examine how units tailor fall prevention practices based on patient risk factors and how units decide, based on their available resources, which implementation strategies should be used.

Dosing profiles of concurrent opioid and benzodiazepine use associated with overdose risk among US Medicare beneficiaries: group-based multi-trajectory models.

BACKGROUND AND AIMS: One-third of opioid (OPI) overdose deaths involve concurrent benzodiazepine (BZD) use. Little is known about concurrent opioid and benzodiazepine use (OPI-BZD) most associated with overdose risk. We aimed to examine associations between OPI-BZD dose and duration trajectories, and subsequent OPI or BZD overdose in US Medicare. DESIGN: Retrospective cohort study. SETTING: US Medicare. PARTICIPANTS: Using a 5% national Medicare data sample (2013-16) of fee-for-service beneficiaries without cancer initiating OPI prescriptions, we identified 37 879 beneficiaries (age ≥ 65 = 59.3%, female = 71.9%, white = 87.6%, having OPI overdose = 0.3%). MEASUREMENTS: During the 6 months following OPI initiation (i.e. trajectory period), we identified OPI-BZD dose and duration patterns using group-based multi-trajectory models, based on average daily morphine milligram equivalents (MME) for OPIs and diazepam milligram equivalents (DME) for BZDs. To label dose levels in each trajectory, we defined OPI use as very low (< 25 MME), low (25-50 MME), moderate (51-90 MME), high (91-150 MME) and very high (>150 MME) dose. Similarly, we defined BZD use as very low (< 10 DME), low (10-20 DME), moderate (21-40 DME), high (41-60 DME) and very high (> 60 DME) dose. Our primary analysis was to estimate the risk of time to first hospital or emergency department visit for OPI overdose within 6 months following the trajectory period using inverse probability of treatment-weighted Cox proportional hazards models. FINDINGS: We identified nine distinct OPI-BZD trajectories: group A: very low OPI (early discontinuation)-very low declining BZD (n = 10 598; 28.0% of the cohort); B: very low OPI (early discontinuation)-very low stable BZD (n = 4923; 13.0%); C: very low OPI (early discontinuation)-medium BZD (n = 4997; 13.2%); D: low OPI-low BZD (n = 5083; 13.4%); E: low OPI-high BZD (n = 3906; 10.3%); F: medium OPI-low BZD (n = 3948; 10.4%); G: very high OPI-high BZD (n = 1371; 3.6%); H: very high OPI-very high BZD (n = 957; 2.5%); and I: very high OPI-low BZD (n = 2096; 5.5%). Compared with group A, five trajectories (32.3% of the study cohort) were associated with increased 6-month OPI overdose risks: E: low OPI-high BZD [hazard ratio (HR) = 3.27, 95% confidence interval (CI) = 1.61-6.63]; F: medium OPI-low BZD (HR = 4.04, 95% CI = 2.06-7.95); G: very high OPI-high BZD (HR = 6.98, 95% CI = 3.11-15.64); H: very high OPI-very high BZD (HR = 4.41, 95% CI = 1.51-12.85); and I: very high OPI-low BZD (HR = 6.50, 95% CI = 3.15-13.42). CONCLUSIONS: Patterns of concurrent opioid and benzodiazepine use most associated with overdose risk among fee-for-service US Medicare beneficiaries initiating opioid prescriptions include very high-dose opioid use (MME > 150), high-dose benzodiazepine use (DME > 40) or medium-dose opioid with low-dose benzodiazepine use.

Self-reported responsiveness to direct-to-consumer drug advertising and medication use: results of a national survey.

ABSTRACT: BACKGROUND: Direct-to-consumer (DTC) marketing of pharmaceuticals is controversial, yet effective. Little is known relating patterns of medication use to patient responsiveness to DTC. METHODS: We conducted a secondary analysis of data collected in national telephone survey on knowledge of and attitudes toward DTC advertisements. The survey of 1081 U.S. adults (response rate = 65%) was conducted by the Food and Drug Administration (FDA). Responsiveness to DTC was defined as an affirmative response to the item: "Has an advertisement for a prescription drug ever caused you to ask a doctor about a medical condition or illness of your own that you had not talked to a doctor about before?" Patients reported number of prescription and over-the-counter (OTC) medicines taken as well as demographic and personal health information. RESULTS: Of 771 respondents who met study criteria, 195 (25%) were responsive to DTC. Only 7% respondents taking no prescription were responsive, whereas 45% of respondents taking 5 or more prescription medications were responsive. This trend remained significant (p trend .0009) even when controlling for age, gender, race, educational attainment, income, self-reported health status, and whether respondents "liked" DTC advertising. There was no relationship between the number of OTC medications taken and the propensity to discuss health-related problems in response to DTC advertisements (p = .4). CONCLUSION: There is a strong cross-sectional relationship between the number of prescription, but not OTC, drugs used and responsiveness to DTC advertising. Although this relationship could be explained by physician compliance with patient requests for medications, it is also plausible that DTC advertisements have a particular appeal to patients prone to taking multiple medications. Outpatients motivated to discuss medical conditions based on their exposure to DTC advertising may require a careful medication history to evaluate for therapeutic duplication or overmedication.