Faculty Bibliography

OBJECTIVES/SPECIFIC AIMS: Determine timing of risk of readmissions within 30 days among patients first discharged to a skilled nursing facilities (SNF) after heart failure hospitalization and subsequently discharged home. METHODS/STUDY POPULATION: This was a retrospective cohort study of patients with SNF stays of 30 days or less following discharge from a heart failure hospitalization. Patients were followed for 30 days following discharge from SNF. We categorized patients based on SNF length of stay (LOS): 1-6 days, 7-13 days, 14-30 days. We then fit a piecewise exponential Bayesian model with the outcome as time to readmission after discharge from SNF for each group. Our event of interest was unplanned readmission; death and planned readmissions were considered as competing risks. Our model examined 2 different time intervals following discharge from SNF: 0-3 days post SNF discharge and 4-30 days post SNF discharge. We reported the hazard rate (credible interval) of readmission for each time interval. We examined all Medicare fee-for-service (FFS) patients 65 and older admitted from July 2012 to June 2015 with a principal discharge diagnosis of HF, based on methods adopted by the Centers for Medicare and Medicaid Services (CMS) for hospital quality measurement. RESULTS/ANTICIPATED RESULTS: Our study included 67,585 HF hospitalizations discharged to SNF and subsequently discharged home [median age, 84 years (IQR; 78-89); female, 61.0%]; 13,257 (19.2%) were discharged with home care, 54,328 (80.4%) without. Median length of SNF admission was 17 days (IQR; 11-22). In total, 16,333 (24.2%) SNF discharges to home were readmitted within 30 days of SNF discharge; median time to readmission was 9 days (IQR; 3-18). The hazard rate of readmission for each group was significantly increased on days 0-3 after discharge from SNF compared with days 4-30 after discharge from SNF. In addition, the hazard rate of readmission during the first 0-3 days after discharge from SNF decreased as the LOS in SNF increased. DISCUSSION/SIGNIFICANCE OF IMPACT: The hazard rate of readmission after SNF discharge following heart failure hospitalization is highest during the first 6 days home. Length of stay at SNF also has an effect on risk of readmission immediately after discharge from SNF; patients with a longer length of stay in SNF were less likely to be readmitted in the first 3 days after discharge from SNF.

This paper explores the role of incentives in the English National Health Service. Until financial year 2009/2010, elective procedures that were cancelled after admission received a fixed reimbursement associated with a specific healthcare resource group code. We investigate whether this induced trusts to admit and then cancel, rather than cancel before admission and/or to cancel low fee over high fee work. As the tariff was ended in April 2010, we conduct an interrupted time series analysis to examine if their behaviour was affected after the tariff removal. The results indicate a small, yet statistically significant, decline in the probability of a last minute cancellation in the post-tariff period, especially for certain types of patients and diagnoses

OBJECTIVE: This study was conducted to describe the incidence of diabetes following pancreatic disease, assess how these patients are classified by clinicians, and compare clinical characteristics with type 1 and type 2 diabetes. RESEARCH DESIGN AND METHODS: Primary care records in England (n = 2,360,631) were searched for incident cases of adult-onset diabetes between 1 January 2005 and 31 March 2016. We examined demographics, diabetes classification, glycemic control, and insulin use in those with and without pancreatic disease (subcategorized into acute pancreatitis or chronic pancreatic disease) before diabetes diagnosis. Regression analysis was used to control for baseline potential risk factors for poor glycemic control (HbA1c >/=7% [53 mmol/mol]) and insulin requirement. RESULTS: We identified 31,789 new diagnoses of adult-onset diabetes. Diabetes following pancreatic disease (2.59 [95% CI 2.38-2.81] per 100,000 person-years) was more common than type 1 diabetes (1.64 [1.47-1.82]; P < 0.001). The 559 cases of diabetes following pancreatic disease were mostly classified by clinicians as type 2 diabetes (87.8%) and uncommonly as diabetes of the exocrine pancreas (2.7%). Diabetes following pancreatic disease was diagnosed at a median age of 59 years and BMI of 29.2 kg/m2. Diabetes following pancreatic disease was associated with poor glycemic control (adjusted odds ratio, 1.7 [1.3-2.2]; P < 0.001) compared with type 2 diabetes. Insulin use within 5 years was 4.1% (3.8-4.4) with type 2 diabetes, 20.9% (14.6-28.9) with diabetes following acute pancreatitis, and 45.8% (34.2-57.9) with diabetes following chronic pancreatic disease. CONCLUSIONS: Diabetes of the exocrine pancreas is frequently labeled type 2 diabetes but has worse glycemic control and a markedly greater requirement for insulin.

Background/UNASSIGNED:How health care professionals address health literacy as part of the provider-client relationship is important for prevention and promoting self-management and symptom management. Research usually focuses on patients' health literacy and fails to examine provider practices, thus leaving a gap in the literature and patient outcomes analyses. Objective/UNASSIGNED:The study tested the reliability and validity of a series of questions developed to evaluate health care provider health literacy promotion practices on an interprofessional sample. Methods/UNASSIGNED:This exploratory cross-sectional study took place between 2013 and 2015. Participants included graduate level health professions students from nursing, midwifery, medicine, pharmacy, and social work. Exploratory factor analyses with varimax rotation examined the reliability and validity of the instrument as a measure of health literacy promotion practices. Key Results/UNASSIGNED:Of the participants in the programs, 198 completed the health literacy questions in the online survey. Exploratory factor analysis showed that questions loaded on two factors connected with either individual or organizational characteristics that facilitated health literacy promotion practices. The Cronbach's alpha for the instrument was 0.95. Conclusions/UNASSIGNED:. Plain Language Summary/UNASSIGNED:We sought to develop a survey instrument people could use to assess how health care providers help patients understand their health better. After getting responses from 198 health care providers, we ran statistical tests to check the quality of the questions for measuring provider practices. We found the questions were good at evaluating provider practices around promoting patient understanding of health issues.

Background: Heart failure is among the most common reasons for admission to hospital and is associated with high rates of readmission. Studies have shown that the frequency of heart failure hospitalisation in temperate climates increases in winter months. While such findings suggest that the risk of hospitalisation is higher in winter as compared to summer months, there has been little evaluation of whether there is seasonal variation in the readmission risk of patients who are hospitalised for heart failure. Purpose: To examine seasonal variations in: 1) readmission risk for patients hospitalised with heart failure; and 2) frequency of heart failure hospitalisation for patients at different risk of readmission. Methods: We performed a retrospective study of United States Medicare beneficiaries age >=65 who were hospitalised for heart failure between January 1, 2009 and June 30, 2015. We used a predictive model for 30-day unplanned hospital readmission to assign each hospitalisation a predicted risk of readmission; this model adds demographic and prior utilization data to the hospital-wide readmission model used by the Centres for Medicare and Medicaid Services (CMS). Each hospitalisation was categorized as lowest 20%, middle 60%, and highest 20% of predicted readmission risk. We calculated rate of hospitalisations per calendar month, predicted readmission risk, and monthly rate of hospitalisations for each risk stratum in the study period; monthly hospitalisations were standardized to 30 days. When comparing risk strata, we divided the totals for the middle 60% stratum by three. Results: Among 2,661,837 heart failure hospitalisations, we observed the highest rates of hospitalisation in January through March (range 37,185-37,949 per month) and the lowest rates in July through September (range 29,901-30,603 per month). Conversely, predicted readmission rates were lowest in January and highest in August, with rates of 23.1% and 24.0%, respectively. The number of hospitalisations increased in winter months for patients in all three risk strata, with greatest variation in seasonal differences observed for patients in the lowest 20% of predicted risk (Figure). For example, hospitalisation rates for highest risk patients were 7058 per 30 days in January versus 6473 per 30 days in August; for lowest risk patients, these values were 7852 versus 5595, respectively. (Figure Presented) Conclusion: Readmission risk decreased in winter versus summer months for patients hospitalised for heart failure. Much of the seasonal variation in heart failure hospitalisations appears to be due to a large excess of hospitalisations of these low risk patients in winter months. Our results suggest that preventative measures, such as vaccinations or dietary education, that target lower risk patients in colder months may reduce overall utilisation

BACKGROUND: Educational and computerized interventions have been shown to reduce red blood cell (RBC) transfusion rates, yet controversy remains surrounding the optimal strategy needed to achieve sustained reductions in liberal transfusions. STUDY DESIGN AND METHODS: The purpose of this study was to assess the impact of clinician decision support (CDS) along with targeted education on liberal RBC utilization to four high-utilizing service lines compared with no education to control service lines across an academic medical center. Clinical data along with associated hemoglobin levels at the time of all transfusion orders between April 2014 and December 2015 were obtained via retrospective chart review. The primary outcome was the change in the rate of liberal RBC transfusion orders (defined as any RBC transfusion when the hemoglobin level is >7.0 g/dL). Secondary outcomes included the annual projected reduction in the number of transfusions and the associated decrease in cost due to these changes as well as length of stay (LOS) and death index. These measures were compared between the 12 months prior to the initiative and the 9-month postintervention period. RESULTS: Liberal RBC utilization decreased from 13.4 to 10.0 units per 100 patient discharges (p = 0.002) across the institution, resulting in a projected 12-month savings of $720,360. The mean LOS and the death index did not differ significantly in the postintervention period. CONCLUSION: Targeted education combined with the incorporation of CDS at the time of order entry resulted in significant reductions in the incidence of liberal RBC utilization without adversely impacting inpatient care, whereas control service lines exposed only to CDS had no change in transfusion habits.

AIM: To investigate the impact of glycaemic control on infection incidence in people with Type 2 diabetes. METHODS: We compared infection rates during 2014 in people with Type 2 diabetes and people without diabetes in a large primary care cohort in the UK (the Royal College of General Practitioners Research and Surveillance Centre database). We performed multilevel logistic regression to investigate the impact of Type 2 diabetes on presentation with infection, and the effect of glycaemic control on presentation with upper respiratory tract infections, bronchitis, influenza-like illness, pneumonia, intestinal infectious diseases, herpes simplex, skin and soft tissue infections, urinary tract infections, and genital and perineal infections. People with Type 2 diabetes were stratified by good [HbA1c <53 mmol/mol (<7%)], moderate [HbA1c 53-69 mmol/mol (7-8.5%)] and poor [HbA1c >69 mmol/mol (>8.5%)] glycaemic control using their most recent HbA1c concentration. Infection incidence was adjusted for important sociodemographic factors and patient comorbidities. RESULTS: We identified 34 278 people with Type 2 diabetes and 613 052 people without diabetes for comparison. The incidence of infections was higher in people with Type 2 diabetes for all infections except herpes simplex. Worsening glycaemic control was associated with increased incidence of bronchitis, pneumonia, skin and soft tissue infections, urinary tract infections, and genital and perineal infections, but not with upper respiratory tract infections, influenza-like illness, intestinal infectious diseases or herpes simplex. CONCLUSIONS: Almost all infections analysed were more common in people with Type 2 diabetes. Infections that are most commonly of bacterial, fungal or yeast origin were more frequent in people with worse glycaemic control

AIMS: To describe the proportion of glucose tests with unrecorded provenance in routine primary care data and identify the impact on clinical practice. METHODS: A cross-sectional analysis was conducted of blood glucose measurements from the Royal College of General Practitioner Research and Surveillance Centre database, which includes primary care records from >100 practices across England and Wales. All blood glucose results recorded during 2013 were identified. Tests were grouped by provenance (fasting, oral glucose tolerance test, random, none specified and other). A clinical audit in a single primary care practice was also performed to identify the impact of failing to record glucose provenance on diabetes diagnosis. RESULTS: A total of 2 137 098 people were included in the cross-sectional analysis. Of 203 350 recorded glucose measurements the majority (117 893; 58%) did not have any provenance information. The most commonly reported provenance was fasting glucose (75 044; 37%). The distribution of glucose values where provenance was not recorded was most similar to that of fasting samples. The glucose measurements of 256 people with diabetes in the audit practice (size 11 514 people) were analysed. The initial glucose measurement had no provenance information in 164 cases (64.1%). A clinician questioned the provenance of a result in 41 cases (16.0%); of these, 14 (34.1%) required repeating. Lack of provenance led to delays in the diagnosis of diabetes [median (range) 30 (3-614) days]. CONCLUSIONS: The recording of glucose provenance in UK primary care could be improved. Failure to record provenance causes unnecessary repeated testing, delayed diagnosis and wasted clinician time

BACKGROUND: The Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) comprises over 100 general practices in England, with a population of around 1 million, providing a public health surveillance system for England and data for research. AIM: To demonstrate the scope of data with the RCGP Annual Report 2014-2015 (May 2014 to April 2015) by describing disparities in the presentation of six common conditions included in the report. DESIGN AND SETTING: This is a report of respiratory and communicable disease incidence from a primary care sentinel network in England. METHOD: Incidence rates and demographic profiles are described for common cold, acute otitis media, pneumonia, influenza-like illness, herpes zoster, and scarlet fever. The impact of age, sex, ethnicity, and deprivation on the diagnosis of each condition is explored using a multivariate logistic regression. RESULTS: With the exception of herpes zoster, all conditions followed a seasonal pattern. Apart from pneumonia and scarlet fever, the odds of presenting with any of the selected conditions were greater for females (P<0.001). Older people had a greater probability of a pneumonia diagnosis (>/=75 years, odds ratio [OR] 6.37; P<0.001). Common cold and influenza-like illness were more likely in people from ethnic minorities than white people, while the converse was true for acute otitis media and herpes zoster. There were higher odds of acute otitis media and herpes zoster diagnosis among the less deprived (least deprived quintile, OR 1.32 and 1.48, respectively; P<0.001). CONCLUSION: The RCGP RSC database provides insight into the content and range of GP workload and provides insight into current public health concerns. Further research is needed to explore these disparities in presentation to primary care.