Graphical Instructions for Administration and Scoring the Mini-Cog: Results of a Randomized Clinical Trial.

OBJECTIVES: To develop a novel set of graphical Mini-Cog instructions designed to aid clinicians previously untrained on the Mini-Cog in accurate administration and scoring and to determine whether use of these graphical instructions improved the speed and accuracy of deployment of this tool. DESIGN: Randomized clinical trial. SETTING: Testing was conducted in a simulated environment with a mock patient. PARTICIPANTS: Registered nurses working in inpatient or outpatient settings at a large academic medical center who had no prior exposure to or training with the Mini-Cog (N=92). MEASUREMENTS: Our primary outcome was the composite proportion of nurses who made errors in administration or scoring of the Mini-Cog. RESULTS: None of the nurses in the graphical instruction group and 28 (61%) in the standardized instructions group (15 (33%) made administration errors, 22 (48%) made scoring errors) made errors. Nurses randomly assigned to the graphical group were able to read (median 36 vs 54 seconds, P<.001), administer (46 vs 62 seconds, P<.001), and score (15 vs 84 seconds, P<.001) the Mini-Cog more quickly than those in the standardized instructions group. CONCLUSION: Graphical instructions increase the accuracy and speed of test administration in nurses without prior training in Mini-Cog administration. Further research is necessary to confirm these findings and evaluate the use of this method in other healthcare professionals and settings.

Discordance between 'actual' and 'scheduled' check-in times at a heart failure clinic.

INTRODUCTION: A 2015 Institute Of Medicine statement "Transforming Health Care Scheduling and Access: Getting to Now", has increased concerns regarding patient wait times. Although waiting times have been widely studied, little attention has been paid to the role of patient arrival times as a component of this phenomenon. To this end, we investigated patterns of patient arrival at scheduled ambulatory heart failure (HF) clinic appointments and studied its predictors. We hypothesized that patients are more likely to arrive later than scheduled, with progressively later arrivals later in the day. METHODS AND RESULTS: Using a business intelligence database we identified 6,194 unique patients that visited the Cleveland Clinic Main Campus HF clinic between January, 2015 and January, 2017. This clinic served both as a tertiary referral center and a community HF clinic. Transplant and left ventricular assist device (LVAD) visits were excluded. Punctuality was defined as the difference between 'actual' and 'scheduled' check-in times, whereby negative values (i.e., early punctuality) were patients who checked-in early. Contrary to our hypothesis, we found that patients checked-in late only a minority of the time (38% of visits). Additionally, examining punctuality by appointment hour slot we found that patients scheduled after 8AM had progressively earlier check-in times as the day progressed (P < .001 for trend). In both a Random Forest-Regression framework and linear regression models the most important risk-adjusted predictors of early punctuality were: later in the day appointment hour slot, patient having previously been to the hospital, age in the early 70s, and white race. CONCLUSIONS: Patients attending a mixed population ambulatory HF clinic check-in earlier than scheduled times, with progressive discrepant intervals throughout the day. This finding may have significant implications for provider utilization and resource planning in order to maximize clinic efficiency. The impact of elective early arrival on patient's perceived wait times requires further study.