A Multi-Phase Quality Improvement Initiative for the Treatment of Active Delirium in Older Persons.

BACKGROUND/OBJECTIVES: The Hospital Elder Life Program emerged 20 years ago as the reference model for delirium prevention in hospitalized older patients. However, implementation has been achieved at only 200 hospitals worldwide over the last 20 years. Among the barriers to implementation for some institutions is an unwillingness of hospital administration to assume the costs associated with implementing programs that service all hospitalized older patients at risk for delirium. Facing such a situation, we implemented a unique and self-evolving model of care of older hospitalized patients who had already developed delirium. DESIGN: Hypothesis testing was carried out using a pretest-posttest design on program administrative data. SETTING: Mount Sinai Hospital, New York, NY, a tertiary-care teaching facility. PARTICIPANTS A total of 9,214 consecutively admitted older patients to non-intensive care (ICU) inpatient units over a 5.5-year period, regardless of the suspected presence of delirium or risk status for developing delirium. INTERVENTION: A delirium intervention program targeting patients in whom delirium has already developed, with a modified delirium team supported by extensive workflow automation with custom tools in our electronic medical records system. MEASUREMENTS: Length of stay (LOS) for delirious and non-delirious patients on units where this program was piloted. Benzodiazepine, opiate, and antipsychotic use on the same units. RESULTS: There was a significant drop in LOS by 1.98 days (95% confidence interval = .24-3.71), a decrease in the average morphine dose equivalents administered from .38 mg to .21 mg per patient hospital day, diazepam dose equivalents from .22 mg to .15 mg per patient hospital day, and quetiapine administered from .17 mg to .14 mg per patient hospital day for delirious patients on the program pilot units. CONCLUSION: Elements of our unique active delirium treatment program may provide some direction to other program developers working on improving the care of older hospitalized delirious patients. However, the supporting evidence presented is limited, and a more rigorous prospective study is needed.

Effect of Clinical Decision Support on Appropriateness of Advanced Imaging Use Among Physicians-in-Training.

OBJECTIVE: Clinical decision support (CDS) tools have been shown to reduce inappropriate imaging orders. We hypothesized that CDS may be especially effective for house staff physicians who are prone to overuse of resources. MATERIALS AND METHODS: Our hospital implemented CDS for CT and MRI orders in the emergency department with scores based on the American College of Radiology's Appropriateness Criteria (range, 1-9; higher scores represent more-appropriate orders). Data on CT and MRI orders from April 2013 through June 2016 were categorized as pre-CDS or baseline, post-CDS period 1 (i.e., intervention with active feedback for scores of ≤ 4), and post-CDS period 2 (i.e., intervention with active feedback for scores of ≤ 6). Segmented regression analysis with interrupted time series data estimated changes in scores stratified by house staff and non-house staff. Generalized linear models further estimated the modifying effect of the house staff variable. RESULTS: Mean scores were 6.2, 6.2, and 6.7 in the pre-CDS, post-CDS 1, and post-CDS 2 periods, respectively (p < 0.05). In the segmented regression analysis, mean scores significantly (p < 0.05) increased when comparing pre-CDS versus post-CDS 2 periods for both house staff (baseline increase, 0.41; 95% CI, 0.17-0.64) and non-house staff (baseline increase, 0.58; 95% CI, 0.34-0.81), showing no differences in effect between the cohorts. The generalized linear model showed significantly higher scores, particularly in the post-CDS 2 period compared with the pre-CDS period (0.44 increase in scores; p < 0.05). The house staff variable did not significantly change estimates in the post-CDS 2 period. CONCLUSION: Implementation of active CDS increased overall scores of CT and MRI orders. However, there was no significant difference in effect on scores between house staff and non-house staff.

Challenges optimizing the after visit summary.

BACKGROUND: The after visit summary (AVS) is a paper or electronic document given to patients after a medical appointment, which is intended to summarize patients' health and guide future care, including self-management tasks. OBJECTIVE: To describe experiences of health systems implementing a redesigned outpatient AVS in commercially available electronic health record (EHR) systems to inform future optimization. MATERIALS AND METHODS: We conducted semi-structured interviews with information technology and clinical leaders at 12 hospital and community-based healthcare institutions across the continental United States focusing on the process of AVS redesign and implementation. We also report our experience implementing a redesigned AVS in the Epic EHR at the Mount Sinai Hospital in New York City, NY. RESULTS: Health systems experienced many challenges implementing the redesigned AVS. While many IT leaders noted that the redesigned AVS is easier to understand and the document is better organized, they claim the effort is time-consuming, Epic system upgrades render AVS modifications non-functional, and primary care and specialty practices have different needs in regards to content and formatting. Our team was able to modify the document by changing the order of print groups, modifying the font size, bolding section headers, and inserting page breaks. Similar to other health systems, our team found that it is difficult to achieve some desired features due to limitations in the EHR platform. CONCLUSION: Health IT leaders view the AVS as a valuable source of information for patients. However, limitations to AVS modifications in EHR systems present challenges to optimizing the tool. EHR vendors should incorporate learning from healthcare systems innovation efforts and consider building more flexibility into their product development.

Improving transitions of care for patients on warfarin: The safe transitions anticoagulation report.

Adverse drug events are common during the transition period after hospitalization, and anticoagulants are among the medication classes for which the incidence is highest. We aimed to develop a concise report to improve the timeliness of international normalized ratio (INR) testing and quality of warfarin management posthospitalization. We developed the Safe Transitions Anticoagulation Report (STAR), which contains essential information on anticoagulation and is embedded in the discharge summary, and implemented the report and associated workflow in a tertiary care hospital within an integrated healthcare system. We performed a retrospective administrative database review of 505 patients in the preintervention period and 292 patients in the intervention period who were discharged on warfarin and were established patients at an affiliated ambulatory practice. There was no change in the frequency of obtaining an INR value within 10 days of discharge (41.4% and 47.6%, respectively, P = 0.09), and no increase in attaining a therapeutic INR level within 10 days of discharge (17.0% and 21.2%, respectively, P = 0.14). Ambulatory clinicians reported that the STAR improved "workflow and efficiency" (58%) and "patient safety" (77%), and led to an altered warfarin dose for 34% of survey respondents. Our study found that a concise anticoagulation report embedded in the discharge summary was perceived by ambulatory physicians as improving patient safety, but had no impact on clinical outcomes, suggesting that this electronic medical record tool would need to be a component of a broader multifaceted intervention to be effective.