Neil S. Fleming

Effectiveness and Cost of a Transitional Care Program for Heart Failure: A Prospective Study With Concurrent Controls

BACKGROUNDnRandomized controlled trials have demonstrated the efficacy of nurse-led transitional care programs to reduce readmission rates for patients with heart failure; the effectiveness of these programs in real-world health care systems is less well understood.nnnMETHODSnWe performed a prospective study with concurrent controls to test an advanced practice nurse-led transitional care program for patients with heart failure who were 65 years or older and were discharged from Baylor Medical Center Garland (BMCG) from August 24, 2009, through April 30, 2010. We compared the effect of the program on 30-day (from discharge) all-cause readmission rate, length of stay, and 60-day (from admission) direct cost for BMCG with that of other hospitals within the Baylor Health Care System. We also performed a budget impact analysis using costs and reimbursement experience from the intervention.nnnRESULTSnThe intervention significantly reduced adjusted 30-day readmission rates to BMCG by 48% during the postintervention period, which was better than the secular reductions seen at all other facilities in the system. The intervention had little effect on length of stay or total 60-day direct costs for BMCG. Under the current payment system, the intervention reduced the hospital financial contribution margin on average

The incident user design in comparative effectiveness research

227 for each Medicare patient with heart failure.nnnCONCLUSIONSnPreliminary results suggest that transitional care programs reduce 30-day readmission rates for patients with heart failure. This underscores the potential of the intervention to be effective in a real-world setting, but payment reform may be required for the intervention to be financially sustainable by hospitals.

The impact of the Texas 1989 motorcycle helmet law on total and head-related fatalities, severe injuries, and overall injuries.

Comparative effectiveness research includes cohort studies and registries of interventions. When investigators design such studies, how important is it to follow patients from the day they initiated treatment with the study interventions? Our article considers this question and related issues to start a dialogue on the value of the incident user design in comparative effectiveness research. By incident user design, we mean a study that sets the cohorts inception date according to patients new use of an intervention. In contrast, most epidemiologic studies enroll patients who were currently or recently using an intervention when follow‐up began. We take the incident user design as a reasonable default strategy because it reduces biases that can impact non‐randomized studies, especially when investigators use healthcare databases. We review case studies where investigators have explored the consequences of designing a cohort study by restricting to incident users, but most of the discussion has been informed by expert opinion, not by systematic evidence. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.

Challenges in using electronic health record data for CER: experience of 4 learning organizations and solutions applied.

The State of Texas implemented a mandatory total motorcycle helmet law for all operators and passengers, effective September 1,1989. In this study the impact of this intervention on frequency of both total and head-related fatalities, severe injuries, and overall injuries for operators during the subsequent year was quantified. This quantification is important because 26 states in the United States fail to have strict, mandatory helmet laws. The Box-Tiao time-series intervention methodology is used to estimate secular trends before and changes after the implementation of the law, analyzing Department of Public Safety monthly injury accident data for a period of 6 years collected from traffic accident reports filed for each motorcycle injury accident. Trends in fatalities and injuries (except for head-related deaths) estimated before implementation of the law approximated the 9.4% average annual decline in motorcycle registrations. Additional declines of 12.6% and 57.0%, respectively, were estimated for total and head-related fatalities during the year after the law was implemented. Declines of 13.1% and 54.6% were estimated for severe injuries for total and head-related accidents. Declines of 12.3% and 52.9% were found for total and head-related injuries overall.

The impact of outpatient department and emergency room use on costs in the Texas Medicaid Program.

Objective: To document the strengths and challenges of using electronic health records (EHRs) for comparative effectiveness research (CER). Methods: A replicated case study of comparative effectiveness in hypertension treatment was conducted across 4 health systems, with instructions to extract data and document problems encountered using a specified list of required data elements. Researchers at each health system documented successes and challenges, and suggested solutions for addressing challenges. Results: Data challenges fell into 5 categories: missing data, erroneous data, uninterpretable data, inconsistencies among providers and over time, and data stored in noncoded text notes. Suggested strategies to address these issues include data validation steps, use of surrogate markers, natural language processing, and statistical techniques. Discussion: A number of EHR issues can hamper the extraction of valid data for cross-health system comparative effectiveness studies. Our case example cautions against a blind reliance on EHR data as a single definitive data source. Nevertheless, EHR data are superior to administrative or claims data alone, and are cheaper and timelier than clinical trials or manual chart reviews. All 4 participating health systems are pursuing pathways to more effectively use EHR data for CER. A partnership between clinicians, researchers, and information technology specialists is encouraged as a way to capitalize on the wealth of information contained in the EHR. Future developments in both technology and care delivery hold promise for improvement in the ability to use EHR data for CER.

Moving from "optimal resources" to "optimal care" at trauma centers.

Medicaid claims data for a 35% random sample (n = 146,167) of persons receiving benefits from Aid to Families with Dependent Children, and who were eligible for Medicaid in Texas in 1980 are used to examine the impact of outpatient department (OPD)/emergency room (ER) care. Average cost is estimated for OPD/ER and private physician (MD) visits. Persons are also classified by primary source of care. Data on age, race, sex, residence, and months eligible in 1980 permitted prediction of statistically adjusted differences between OPD- and MD-oriented persons for number of ambulatory visits, probability of hospitalization, 1980 total costs, and both hospital episode institutional amount paid and length of stay. OPD/ER visits were found to be

Electronic Health Record Use to Classify Patients with Newly Diagnosed versus Preexisting Type 2 Diabetes: Infrastructure for Comparative Effectiveness Research and Population Health Management

23 more expensive than MD visits. OPD-oriented persons had fewer ambulatory visits, slightly more hospitalizations, greater total and episode costs, and longer lengths of stay than did MD-oriented persons. Potential cost savings are projected.

Barriers to compliance with evidence-based care in trauma.

BACKGROUND: The Trauma Quality Improvement Program has shown that risk-adjusted mortality rates at some centers are nearly 50% higher than at others. This “quality gap” may be due to different clinical practices or processes of care. We have previously shown that adoption of processes called core measures by the Joint Commission and Centers for Medicare and Medicaid Services does not improve outcomes of trauma patients. We hypothesized that improved compliance with trauma-specific clinical processes of care (POC) is associated with reduced in-hospital mortality. METHODS: Records of a random sample of 1,000 patients admitted to a Level I trauma center who met Trauma Quality Improvement Program criteria (age ≥16 years and Abbreviated Injury Scale score ≥3) were retrospectively reviewed for compliance with 25 trauma-specific POC (T-POC) that were evidence-based or expert consensus panel recommendations. Multivariate regression was used to determine the relationship between T-POC compliance and in-hospital mortality, adjusted for age, gender, injury type, and severity. RESULTS: Median age was 41 years, 65% were men, 88% sustained a blunt injury, and mortality was 12%. Of these, 77% were eligible for at least one T-POC and 58% were eligible for two or more. There was wide variation in T-POC compliance. Every 10% increase in compliance was associated with a 14% reduction in risk-adjusted in-hospital mortality. CONCLUSION: Unlike adoption of core measures, compliance with T-POC is associated with reduced mortality in trauma patients. Trauma centers with excess in-hospital mortality may improve patient outcomes by consistently applying T-POC. These processes should be explored for potential use as Core Trauma Center Performance Measures. LEVEL OF EVIDENCE: II.

Sudden infant death syndrome rates subsequent to the American Academy of Pediatrics supine sleep position.

Use of electronic health record (EHR) content for comparative effectiveness research (CER) and population health management requires significant data configuration. A retrospective cohort study was conducted using patients with diabetes followed longitudinally (N=36,353) in the EHR deployed at outpatient practice networks of 2 health care systems. A data extraction and classification algorithm targeting identification of patients with a new diagnosis of type 2 diabetes mellitus (T2DM) was applied, with the main criterion being a minimum 30-day window between the first visit documented in the EHR and the entry of T2DM on the EHR problem list. Chart reviews (N=144) validated the performance of refining this EHR classification algorithm with external administrative data. Extraction using EHR data alone designated 3205 patients as newly diagnosed with T2DM with classification accuracy of 70.1%. Use of external administrative data on that preselected population improved classification accuracy of cases identified as new T2DM diagnosis (positive predictive value was 91.9% with that step). Laboratory and medication data did not help case classification. The final cohort using this 2-stage classification process comprised 1972 patients with a new diagnosis of T2DM. Data use from current EHR systems for CER and disease management mandates substantial tailoring. Quality between EHR clinical data generated in daily care and that required for population health research varies. As evidenced by this process for classification of newly diagnosed T2DM cases, validation of EHR data with external sources can be a valuable step.

Insuring the uninsured: potential impact of Health Care Reform Act of 2010 on trauma centers.

BACKGROUND: We have preciously demonstrated that trauma patients receive less than two-thirds of the care recommended by evidence-based medicine. The purpose of this study was to identify patients least likely to receive optimal care. METHODS: Records of a random sample of 774 patients admitted to a Level I trauma center (2006–2008) with moderate to severe injuries (Abbreviated Injury Scale score ≥3) were reviewed for compliance with 25 trauma-specific processes of care (T-POC) endorsed by Advanced Trauma Life Support, Eastern Association for the Surgery of Trauma, the Brain Trauma Foundation, Surgical Care Improvement Project, and the Glue Grant Consortium based on evidence or consensus. These encompassed all aspects of trauma care, including initial evaluation, resuscitation, operative care, critical care, rehabilitation, and injury prevention. Multivariate logistic regression was used to identify patients likely to receive recommended care. RESULTS: Study patients were eligible for a total of 2,603 T-POC, of which only 1,515 (58%) were provided to the patient. Compliance was highest for T-POC involving resuscitation (83%) and was lowest for neurosurgical interventions (17%). Increasing severity of head injuries was associated with lower compliance, while intensive care unit stay was associated with higher compliance. There was no relationship between compliance and patient demographics, socioeconomic status, overall injury severity, or daily volume of trauma admissions. CONCLUSION: Little over half of recommended care was delivered to trauma patients with moderate to severe injuries. Patients with increasing severity of traumatic brain injuries were least likely to receive optimal care. However, differences among patient subgroups are small in relation to the overall gap between observed and recommended care. LEVEL OF EVIDENCE: II.