Using Behavioral Economics to Reduce Low-Value Care Among Older Adults: A Cluster Randomized Clinical Trial.

Importance: Use of low-value care is common among older adults. It is unclear how to best engage clinicians and older patients to decrease use of low-value services. Objective: To test whether the Committing to Choose Wisely behavioral economic intervention could engage primary care clinicians and older patients to reduce low-value care. Design, Setting, and Participants: Stepped-wedge cluster randomized clinical trial conducted at 8 primary care clinics of an academic health system and a private group practice between December 12, 2017, and September 4, 2019. Participants were primary care clinicians and older adult patients who had diabetes, insomnia, or anxiety or were eligible for prostate cancer screening. Data analysis was performed from October 2019 to November 2023. Intervention: Clinicians were invited to commit in writing to Choosing Wisely recommendations for older patients to avoid use of hypoglycemic medications to achieve tight glycemic control, sedative-hypnotic medications for insomnia or anxiety, and prostate-specific antigen tests to screen for prostate cancer. Committed clinicians had their photographs displayed on clinic posters and received weekly emails with alternatives to these low-value services. Educational handouts were mailed to applicable patients before scheduled visits and available at the point of care. Main Outcomes and Measures: Patient-months with a low-value service across conditions (primary outcome) and separately for each condition (secondary outcomes). For patients with diabetes, or insomnia or anxiety, secondary outcomes were patient-months in which targeted medications were decreased or stopped (ie, deintensified). Results: The study included 81 primary care clinicians and 8030 older adult patients (mean [SD] age, 75.1 [7.2] years; 4076 men [50.8%] and 3954 women [49.2%]). Across conditions, a low-value service was used in 7627 of the 37 116 control patient-months (20.5%) and 7416 of the 46 381 intervention patient-months (16.0%) (adjusted odds ratio, 0.79; 95% CI, 0.65-0.97). For each individual condition, there were no significant differences between the control and intervention periods in the odds of patient-months with a low-value service. The intervention increased the odds of deintensification of hypoglycemic medications for diabetes (adjusted odds ratio, 1.85; 95% CI, 1.06-3.24) but not sedative-hypnotic medications for insomnia or anxiety. Conclusions and Relevance: In this stepped-wedge cluster randomized clinical trial, the Committing to Choose Wisely behavioral economic intervention reduced low-value care across 3 common clinical situations and increased deintensification of hypoglycemic medications for diabetes. Use of scalable interventions that nudge patients and clinicians to achieve greater value while preserving autonomy in decision-making should be explored more broadly. Trial Registration: ClinicalTrials.gov Identifier: NCT03411525.

The National Cardiovascular Data Registry (NCDR) Data Quality Brief: the NCDR Data Quality Program in 2012.

OBJECTIVES: The National Cardiovascular Data Registry (NCDR) developed the Data Quality Program to meet the objectives of ensuring the completeness, consistency, and accuracy of data submitted to the observational clinical registries. The Data Quality Program consists of 3 main components: 1) a data quality report; 2) a set of internal quality assurance protocols; and 3) a yearly data audit program. BACKGROUND: Since its inception in 1997, the NCDR has been the basis for the development of performance and quality metrics, site-level quality improvement programs, and peer-reviewed health outcomes research. METHODS: Before inclusion in the registry, data are filtered through the registry-specific algorithms that require predetermined levels of completeness and consistency for submitted data fields as part of the data quality report. Internal quality assurance protocols enforce data standards before reporting. Within each registry, 300 to 625 records are audited annually in 25 randomly identified sites (i.e., 12 to 25 records per audited site). RESULTS: In the 2010 audits, the participant average raw accuracy of data abstraction for the CathPCI Registry, ICD Registry, and ACTION Registry-GWTG were, respectively, 93.1% (range, 89.4% minimum, 97.4% maximum), 91.2% (range, 83.7% minimum, 95.7% maximum), and 89.7.% (range, 85% minimum, 95% maximum). CONCLUSIONS: The 2010 audits provided evidence that many fields in the NCDR accurately represent the data from the medical charts. The American College of Cardiology Foundation is undertaking a series of initiatives aimed at creating a quality assurance rapid learning system, which, when complete, will monitor, evaluate, and improve data quality.

Complication rates associated with pacemaker or implantable cardioverter-defibrillator generator replacements and upgrade procedures: results from the REPLACE registry.

BACKGROUND: Prospective studies defining the risk associated with pacemaker or implantable cardioverter-defibrillator replacement surgeries do not exist. These procedures are generally considered low risk despite results from recent retrospective series reporting higher rates. METHODS AND RESULTS: We prospectively assessed predefined procedure-related complication rates associated with elective pacemaker or implantable cardioverter-defibrillator generator replacements over 6 months of follow-up. Two groups were studied: those without (cohort 1) and those with (cohort 2) a planned transvenous lead addition for replacement or upgrade to a device capable of additional therapies. Complications were adjudicated by an independent events committee. Seventy-two US academic and private practice centers participated. Major complications occurred in 4.0% (95% confidence interval, 2.9 to 5.4) of 1031 cohort 1 patients and 15.3% (95% confidence interval, 12.7 to 18.1) of 713 cohort 2 patients. In both cohorts, major complications were higher with implantable cardioverter-defibrillator compared with pacemaker generator replacements. Complications were highest in patients who had an upgrade to or a revised cardiac resynchronization therapy device (18.7%; 95% confidence interval, 15.1 to 22.6). No periprocedural deaths occurred in either cohort, although 8 later procedure-related deaths occurred in cohort 2. The 6-month infection rates were 1.4% (95% confidence interval, 0.7 to 2.3) and 1.1% (95% confidence interval, 0.5 to 2.2) for cohorts 1 and 2, respectively. CONCLUSIONS: Pacemaker and implantable cardioverter-defibrillator generator replacements are associated with a notable complication risk, particularly those with lead additions. These data support careful decision making before device replacement, when managing device advisories, and when considering upgrades to more complex systems.