Supporting the Pursuit of Quality Improvement Publication: What Your Organization Can Do Now.

Many health care organizations encourage frontline staff to pursue quality improvement (QI), local spread of those improvements, and publication of their work. Although much has been written about building and sustaining a culture of continuous QI, less is known about how to support success in QI rigor, credibility, spread, and publication. In this perspective article, we offer QI leaders practical suggestions to identify challenges in publishing QI and strategies to overcome these challenges. Health care organizations can assist QI teams with publication by intentionally formalizing scholarship early in their QI project work, providing accountability, and connecting the QI team to necessary resources. A carefully designed program supporting QI publication can both improve the rigor of QI work and enhance the professional development of QI professionals.

Predicting Delirium Risk Using an Automated Mayo Delirium Prediction Tool: Development and Validation of a Risk-Stratification Model.

OBJECTIVE: To develop a delirium risk-prediction tool that is applicable across different clinical patient populations and can predict the risk of delirium at admission to hospital. METHODS: This retrospective study included 120,764 patients admitted to Mayo Clinic between January 1, 2012, and December 31, 2017, with age 50 and greater. The study group was randomized into a derivation cohort (n=80,000) and a validation cohort (n=40,764). Different risk factors were extracted and analyzed using least absolute shrinkage and selection operator (LASSO) penalized logistic regression. RESULTS: The area under the receiver operating characteristic curve (AUROC) for Mayo Delirium Prediction (MDP) tool using derivation cohort was 0.85 (95% confidence interval [CI], .846 to .855). Using the regression coefficients obtained from the derivation cohort, predicted probability of delirium was calculated for each patient in the validation cohort. For the validation cohort, AUROC was 0.84 (95% CI, .834 to .847). Patients were classified into 1 of the 3 risk groups, based on their predicted probability of delirium: low (≤5%), moderate (6% to 29%), and high (≥30%). In the derivation cohort, observed incidence of delirium was 1.7%, 12.8%, and 44.8% (low, moderate, and high risk, respectively), which is similar to the incidence rates in the validation cohort of 1.9%, 12.7%, and 46.3%. CONCLUSION: The Mayo Delirium Prediction tool was developed from a large heterogeneous patient population with good validation results and appears to be a reliable automated tool for delirium risk prediction with hospitalization. Further prospective validation studies are required.

Information Transfer at Hospital Discharge: A Systematic Review.

BACKGROUND: Prompt, complete, and accurate information transfer at the time of discharge between hospital-based and primary care providers (PCPs) is needed for the provision of safe and effective care. PURPOSE OF THE STUDY: To evaluate timeliness, quality, and interventions to improve timeliness and quality of hospital discharge summaries. DATA SOURCES: PubMed, MEDLINE, EMBASE, CINAHL, Web of Science, and Scopus database published in English between January 2007 and February 2014 were searched. We also hand-searched bibliographies of relevant articles. STUDY SELECTION: Observational studies investigating transfer of information at hospital discharge (n = 7) and controlled studies evaluating interventions to improve timeliness and quality of discharge information (n = 12) were included. DATA EXTRACTION: We extracted data on availability, timeliness, and content of hospital discharge summaries and on the effectiveness of interventions targeting discharge summaries. Results of studies are presented narratively and using descriptive statistics. DATA SYNTHESIS: Across the studies, discharge summaries were completed within 48 hours in a median of 67% and were available to PCPs within 48 hours only 55% of the time. Most of the time, discharge summaries included demographics, primary diagnosis, hospital course, and discharge instructions. However, information was limited to pending test results (25%), diagnostic tests performed (60%), and postdischarge medications (78%). In 6 interventional studies, implementation of electronic discharge summaries was associated with improvement in timeliness but not quality. CONCLUSIONS: Delayed or insufficient transfer of discharge information between hospital-based providers and PCPs remains common. Creation of electronic discharge summaries seems to improve timeliness and availability but does not consistently improve quality.

Improving inpatient warfarin therapy safety using a pharmacist-managed protocol.

INTRODUCTION: Safe management of warfarin in the inpatient setting can be challenging. At the Mayo Clinic hospitals in Rochester, Minnesota, we set out to improve the safety of warfarin management among surgical and non-surgical inpatients. METHODS: A multidisciplinary team designed a pharmacist-managed warfarin protocol (PMWP) which designated warfarin dosing to inpatient pharmacists with guidance from computerised dosing algorithms. Ordering this protocol was ultimately designed as an 'opt out' practice. The primary improvement measure was frequency of international normalised ratio (INR) greater than 5; secondary measures included adoption rate of the protocol, a counterbalance INR metric (INR <1.7 three days after first inpatient warfarin dose), and complication rates, including bleeding and thrombosis events. An interrupted time series analysis was conducted to compare outcomes. RESULTS: Among over 50 000 inpatient warfarin recipients, the PMWP was adopted for the majority of both surgical and non-surgical inpatients during the study period (1 January 2005 to 31 December 2011). The primary improvement measure decreased from 5.6% to 3.4% for medical patients and from 5.2% to 2.4% for surgical patients during the preimplementation and postimplementation periods, respectively. The INR counterbalance measure did not change. Postoperative bleeding decreased from 13.5% to 11.1% among surgical patients, but bleeding was unchanged among medical patients. CONCLUSION: Our PMWP led to achievement of improved INR control for inpatient warfarin recipients and to less near-term bleeding among higher risk, surgical patients.

Identifying patients at risk of inhospital death or hospice transfer for early goals of care discussions in a US referral center: the HELPS model derived from retrospective data.

OBJECTIVE: Create a score to identify patients at risk of death or hospice placement who may benefit from goals of care discussion earlier in the hospitalisation. DESIGN: Retrospective cohort study to develop a risk index using multivariable logistic regression. SETTING: Two tertiary care hospitals in Southeastern Minnesota. PARTICIPANTS: 92 879 adult general care admissions (50% male, average age 60 years). PRIMARY AND SECONDARY OUTCOME MEASURES: Our outcome measure was an aggregate of inhospital death or discharge to hospice. Predictor variables for the model encompassed comorbidities, nutrition status, functional status, demographics, fall risk, mental status, Charlson Comorbidity Index and acuity of illness on admission. Resuscitation status, race, geographic area of residence and marital status were added as covariates to account for confounding. RESULTS: Inhospital mortality and discharge to hospice were rare, with incidences of 1.2% and 0.8%, respectively. The Hospital End-of-Life Prognostic Score (HELPS) demonstrated good discrimination (C-statistic=0.866 in derivation set and 0.834 in validation set). The patients with the highest 5% of scores had an 8% risk of the outcome measure, relative risk 12.9 (10.9-15.4) when compared to the bottom 95%. CONCLUSIONS: HELPS is able to identify patients with a high risk of inhospital death or need for hospice at discharge. These patients may benefit from early goals of care discussions.

Going Beyond Administrative Data: Retrospective Evaluation of an Algorithm Using the Electronic Health Record to Help Identify Bleeding Events Among Hospitalized Medical Patients on Warfarin.

To reliably assess quality, a standardized electronic approach is needed to identify bleeding events. The study aims were the following: (1) clinically validate an electronic health record-based algorithm for bleeding and (2) assess interrater results to determine validity and reliability. Data were analyzed before and after implementation of a pharmacist-managed warfarin protocol. Bleeding was based on ≥2 of 3 criteria: (1) diagnosis indicating bleeding, (2) lab value decrease suggesting bleeding, and (3) blood product use. All suspected bleeds (234) and a sample (58) not meeting criteria were compared with clinical review. There were 234 bleeding cases identified electronically. Reviewer agreement was 78.2% (κ = 0.565). Algorithm sensitivity was 93.9% and positive predictive value 46.2%. Algorithm identification was least accurate for those with only 2 criteria but good for those with all criteria. This study supports using multiple electronic criteria to identify bleeding events. However, cases having exactly 2 criteria may require manual review for validation.

Reflective Practice: A Tool for Readmission Reduction.

Factors intrinsic to local practice, but not captured by the medical record, contribute to readmissions. Frontline providers familiar with their practice systems can identify these. The objective was to decrease 30-day hospital readmissions. The intervention involved retrospective review by hospitalists of their own patients' readmissions, using reflective practice guided by a chart review tool. Subjects were patients discharged by hospitalists and readmitted to a tertiary care academic medical center. Hospitalists reviewed 193 readmissions of 170 patients. Factors contributing to readmission were grouped under patient characteristics, operational factors, and care transition. After reflection, physicians scheduled earlier follow-up appointments while nurse practitioners and physician assistants improved discharge instructions. Readmissions decreased during the review period, and the decrease sustained for one year after the review period. Hospitalists reflected on and identified local practice factors that contributed to their own patients' 30-day readmissions. Reflective practice may be an effective strategy to decrease hospital readmissions.

Decline in ACEI/ARB Prescribing as Heart Failure Core Metrics Improve During Computer-Based Clinical Decision Support.

Computer-based clinical decision-support systems are effective interventions to improve compliance with guidelines and quality measures. However, understanding of their long-term impact, including unintended consequences, is limited. The authors assessed the clinical impact of the sequential implementation of 2 such systems to improve the use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEIs/ARBs) in inpatients with heart failure. Compliance with the core measure improved from 91.0% at baseline to 93.6% with the Pharmacy Care (P-Care) Rule and to 96.4% with the Centricity-Blaze (CE-Blaze) Rule. At the same time, prescriptions for ACEIs/ARBs documented in the hospital discharge summary decreased from 83.2% at baseline to 75.8% with the P-Care rule and to 64.1% with the CE-Blaze Rule. The inpatient mortality rate and the 30-day readmission rate did not change significantly. Better documentation of contraindications in the electronic medical record seems to account for the core measure improvement, even as ACEI/ARB therapy has unexpectedly declined.

Patient engagement and reported outcomes in surgical recovery: effectiveness of an e-health platform.

BACKGROUND: Electronic health information platforms have the potential to support standardized care delivery models, engage patients, and deliver patient self-assessment tools. STUDY DESIGN: We tested whether an e-health platform could support the delivery and acquisition of patient-reported outcomes (PROs) during hospitalization after cardiac surgery. Secondarily, we tested if patient reported data were predictive of resource use (length of stay) or outcomes (discharge disposition). Subjects were 149 cardiac surgical patients, over age 50 years, undergoing routine surgery, with an expected length of stay of 5 to 7 days. While hospitalized, patients were provided with iPads (Apple), which delivered a personalized care plan. That plan included daily patient "To Do" lists with self-assessment modules that included recovery-related patient reported outcomes. Those included an early screen for discharge planning (ESDP) as well as daily pain and mobility self-assessments using the visual analog pain scale and the I-MOVE mobility scale. We measured completion rates for the self assessments, determined length of stay (short, intermediate, or long) and discharge disposition (home independently or other), and evaluated whether patient self-assessments were predictive of these outcomes. RESULTS: Patients completed 98% of the 1,418 self-assessments that were delivered. The ESDP and mobility self-assessments were predictive of length of hospital stay (p = 0.004 and p = 0.012, respectively) and of discharge disposition (p < 0.0001 and p < 0.007, respectively). Lower ESDP scores and higher I-MOVE scores were predictive of shorter lengths of stay and a higher likelihood of discharge to home independently. CONCLUSIONS: Our trial demonstrated that an e-health platform, combined with mobile computing, can effectively deliver customized care plans with which patients can interact. Furthermore, patient self-reported data are predictive of length of stay and discharge disposition.

Risk factors for excessive anticoagulation among hospitalized adults receiving warfarin therapy using a pharmacist-managed dosing protocol.

STUDY OBJECTIVE: To identify specific risk factors for excessive anticoagulation, defined as an international normalized ratio (INR) higher than 5, in hospitalized adults receiving warfarin therapy using a pharmacist-managed dosing protocol. DESIGN: Retrospective nested case-control study. SETTING: Large academic tertiary care medical center. PATIENTS: Hospitalized nonsurgical patients 18 years or older who received at least one dose of warfarin according to the pharmacist-managed protocol from January 1, 2009, to January 31, 2012, were included. Patients who experienced an INR higher than 5 were designated as case patients; those who received warfarin for at least as many days as the case patients but who did not experience an INR more than 5 were deemed control patients. Controls were matched to cases in a 2:1 ratio by age, sex, INR goal, and type of warfarin therapy (new start or continuation). MEASUREMENTS AND MAIN RESULTS: A total of 87 case patients were matched to 174 controls. Ten different hypothesized risk factors were examined. Two variables, severity of illness score (odds ratio [OR] 4.89, p<0.001) and poor nutritional status (OR 4.27, p<0.001), demonstrated strong independent associations with risk of excessive anticoagulation. Administration of interacting drugs that highly potentiate warfarin's effect (OR 2.26, p=0.011) and concurrent diarrheal illness (OR 4.75, p<0.001) also displayed a statistically significant risk for excessive anticoagulation. CONCLUSION: Even in a highly standardized system for warfarin dosing by a pharmacist-managed protocol, higher disease severity and poor nutritional status placed hospitalized patients at greater risk of experiencing excessive anticoagulation. In addition, administration of interacting drugs that highly potentiate warfarin's effect or the occurrence of diarrheal illness may predict increased risk.

ACEi/ARB for systolic heart failure: closing the quality gap with a sustainable intervention at an academic medical center.

BACKGROUND: National guidelines recommend angiotensin converting enzyme inhibitor (ACEi) or angiotensinogen receptor blocker (ARB) therapy for patients with left ventricular systolic dysfunction (LVSD), including those with symptomatic heart failure (HF). However, guideline adherence has not been optimal. The goal of this quality improvement project is to devise and implement a sustainable care-delivery model in a 920-bed academic hospital center that would improve ACEi/ARB adherence before hospital discharge. METHODS: The Model of intervention is: (1) a computer-based daily screening program; (2) inpatient pharmacist e-flag message; and (3) alerts for inpatient care teams. Its operating algorithm: If eligible adult HF/LVSD inpatients are not on ACEi or ARB nor documentation of contraindications, a flag alert is generated; deficiency is confirmed by a pharmacist and conveyed to the patient-care teams; if alert is acted on and care brought into adherence, the screening program would not re-flag the same patients the succeeding day; if not, the patients would be re-flagged daily until reaching adherence. We compared ACEi/ARB adherence before, during, and after the intervention. RESULTS: Baseline performance (percentage of eligible HF/LVSD patients receiving ACEi/ARB) was 87.5%. After implementation of the Model the ACEi/ARB adherence rate at the time of hospital discharge rose to 96.7% (P < 0.002) and was sustained for 21 months without needing additional personnel. CONCLUSIONS: A carefully designed, computer-based care-delivery model is highly efficient and sustainable for enhancing ACEi/ARB adherence.

Home alone: assessing mobility independence before discharge.

Hospitalists are often confronted with discharge planning responsibility and decisions for elderly patients who live alone. The absence of an in-home helper (spouse, partner, or care-giver) reduces the margin of safety and resilience to any new debility. Research has documented that during hospital stays elderly patients tend to become deconditioned, even if there is no new specific neurologic or motor deficit. In the patient whose pre-hospital mobility independence is not robust, and perhaps marginally compensated, inpatient stays for any diagnosis may result in critical decrements in mobility independence. The present study is an effort to design a bedside tool for the hospitalist by which to discern, or screen, for such debility. The tool is a hierarchical performance test we named I-MOVE (Independent Mobility Validation Examination). It is a quick series of bedside mobility requests to demonstrate capability of fundamental movements critical to independent living. We describe manner in which I-MOVE can be performed. Moreover, we describe the face validity and the high interrater reliability (> 0.90 intra-class correlation coefficient) of two RNs who independently administered and scored I-MOVE for 41 patients on a General Medical Care Unit. Although not yet studied in correlation with outcomes, nor with validated mobility assessment tools, we believe I-MOVE can serve as a useful extension of the nurse's assessment, or the Hospitalist's physical examination. Discerning the continued capability of mobility independence is a desirable, on-going insight for discharge planning of the elderly patient who resides alone.

In-room display of day and time patient is anticipated to leave hospital: a "discharge appointment".

BACKGROUND: We learned from a focus group that many patients find discharge to be one of the least satisfying elements of the hospital experience. Patients cited insufficient communication about the day and time of the impending discharge as a cause of dissatisfaction. OBJECTIVE: In partnership with the Institute for Healthcare Improvement, Improvement Action Network collaborative, we tested the practicality of an in-room "discharge appointment" (DA) display. SETTING AND PATIENTS: Eight inpatient care units in 2 hospitals at an academic medical center (Mayo Clinic, Rochester, MN). INTERVENTION: DA displayed on a specially designed bedside dry-erase board. MEASUREMENTS: The primary outcome was the proportion of discharged patients who had been given a DA, including same-day DAs. Secondary outcomes were (1) the proportion of DAs scheduled before the actual dismissal day and (2) the timeliness of the actual departure compared with the DA. RESULTS: During the 4-month period, 2046 patients were discharged. Of those, 1256 patients (61%) were given a posted DA, of which 576 (46%) were scheduled at least a day in advance and 752 (60%) departed from the care unit within 30 minutes of the appointed time. CONCLUSIONS: With a program for in-room display of a DA in various hospital units, more than half the patients had a DA set, and most of the DA patients departed on time. Further investigation is needed to determine the effect of DAs on patient and provider satisfaction.

3D: a tool for medication discharge education.

BACKGROUND: At the time of transition from hospital to home, many patients are challenged by multi-drug regimens. The authors' standard patient education tool is a personalised Medication Discharge Worksheet (MDW) that includes a list of medications and administration times. Nonetheless, patient understanding, satisfaction, and safety remain suboptimal. Therefore, the authors designed a new tool: Durable Display at Discharge (3D). Unlike MDW, 3D features (1) space in which a tablet or pill is to be affixed and displayed, (2) trade name (if apt), (3) unit strength, (4) number (and/or fraction) of units to be taken, (5) purpose (indication), (6) comment/caution, (7) larger font, (8) card stock durability and (9) a reconciliation feature. METHODS: The authors conducted an exploratory, randomised trial (n = 138) to determine whether 3D, relative to MDW, improves patient satisfaction, improves patient understanding and reduces self-reported medication errors. Trained survey research personnel, blinded to hypotheses, interviewed patients by telephone 7-14 days after discharge. RESULTS: Both tools were similarly associated with high satisfaction and few self-reported errors. However, 3D subjects demonstrated greater understanding of their medications. CONCLUSIONS: Although both tools are associated with similarly high levels of patient satisfaction and low rates of self-reported medication error, 3D appears to promote patient understanding of the medications, and warrants further study.

Increased faculty presence on inpatient teaching services.

OBJECTIVES: To determine whether the level of presence of faculty in the afternoon or evening influences residents' perception of learning, "autonomy," or satisfaction, and if so whether the effect is positive or negative. SUBJECTS AND METHODS: A survey of internal medicine residents was conducted from January 1 through June 30, 1999. Primary outcome was residents' satisfaction and its relationship to the degree of (resident-observed) faculty presence. RESULTS: A total of 156 (86.7%) of the 180 surveys distributed were returned. Residents rated the individual faculty members' frequency of afternoon or evening presence as "most/all of the time" (47%), "occasionally" (32%), or "never/rarely" (21%). Increased faculty presence was positively associated with higher resident "satisfaction with faculty" (P < .001), "educational value of time spent with the faculty member" (P = .001), "team dynamics" (P = .002), "(quality of) overall medical care provided" (P = .03), and "sufficient autonomy" (P = .04). Residents were less likely to report concerns (difficulties) with teaching (P < .001) and efficiency (P = .008) of faculty whose level of presence was increased. CONCLUSION: Contrary to some concerns expressed, increased faculty presence is associated with higher resident satisfaction and a more favorable learning experience.