A hospital-randomized controlled trial of a formal quality improvement educational program in rural and small community Texas hospitals: one year results.

OBJECTIVE: To investigate the effectiveness of a quality improvement educational program in rural hospitals. DESIGN: Hospital-randomized controlled trial. PARTICIPANTS: A total of 47 rural and small community hospitals in Texas that had previously received a web-based benchmarking and case-review tool. INTERVENTION: The 47 hospitals were randomized either to receive formal quality improvement educational program or to a control group. The educational program consisted of two 2-day didactic sessions on continuous quality improvement techniques, followed by the design, implementation and reporting of a local quality improvement project, with monthly coaching conference calls and annual follow-up conclaves. MAIN OUTCOME MEASURES: Performance on core measures for community-acquired pneumonia and congestive heart failure were compared between study groups to evaluate the impact of the educational program. RESULTS: No significant differences were observed between the study groups on any measures. Of the 23 hospitals in the intervention group, only 16 completed the didactic program and 6 the full training program. Similar results were obtained when these groups were compared with the control group. CONCLUSIONS: While the observed results suggest no incremental benefit of the quality improvement educational program following implementation of a web-based benchmarking and case-review tool in rural hospitals, given the small number of hospitals that completed the program, it is not conclusive that such programs are ineffective. Further research incorporating supporting infrastructure, such as physician champions, financial incentives and greater involvement of senior leadership, is needed to assess the value of quality improvement educational programs in rural hospitals.

The case for a population standardized infection ratio (SIR): A metric that marries the device SIR to the standardized utilization ratio (SUR).

BACKGROUND: The device standardized infection ratio (SIR) is used to compare unit and hospital performance for different publicly reported infections. Interventions to reduce unnecessary device use may select a higher-risk population, leading to a paradoxical increase in SIR for some high-performing facilities. The standardized utilization ratio (SUR) adjusts for device use for different units and facilities. METHODS: We calculated the device SIR (calculated based on actual device days) and population SIR (defined as Σ observed events divided by Σ predicted events based on predicted device days), adjusting for the facility SUR for both central-line-associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs) in 84 hospitals from a single system for calendar years 2016 and 2017. RESULTS: The central-line SUR was 1.02 for 801,172 central-line days, with a device SIR of 0.76 and a population SIR of 0.78, a 1.6% relative increase. On the other hand, the urinary catheter SUR was 0.90 for 757,504 urinary catheter days, with a device SIR of 0.84 and a population SIR of 0.76, a 10.0% relative decrease. The cumulative attributable difference for CAUTI to a target SIR of 1 was -135.4 for the device SIR compared to -203.66 for the population SIR, a 50.8% increase in prevented events. CONCLUSION: Population SIR accounts for predicted device utilization; thus, it is an attractive metric with which to address overall risk of infection or harm to a patient population. It also reduces the risk of selection bias that may impact the device SIR with interventions to reduce device use.

Accelerating Best Care in Pennsylvania: adapting a large academic system's quality improvement process to rural community hospitals.

Industrial quality improvement (QI) methods such as continuous quality improvement (CQI) may help bridge the gap between evidence-based "best care" and the quality of care provided. In 2006, Baylor Health Care System collaborated with Jefferson Medical College of Thomas Jefferson University to conduct a QI demonstration project in select Pennsylvania hospitals using CQI techniques developed by Baylor. The training was provided over a 6-month period and focused on methods for rapid-cycle improvement; data system design; data management; tools to improve patient outcomes, processes of care, and cost-effectiveness; use of clinical guidelines and protocols; leadership skills; and customer service skills. Participants successfully implemented a variety of QI projects. QI education programs developed and pioneered within large health care systems can be adapted and applied successfully to other settings, providing needed tools to smaller rural and community hospitals that lack the necessary resources to establish such programs independently.

Challenges in conducting a hospital-randomized trial of an educational quality improvement intervention in rural and small community hospitals.

The study design for this hospital-randomized controlled trial of an educational quality improvement intervention in rural and small community hospitals, following the implementation of a Web-based quality benchmarking and case review tool, specified a control group and a rapid-cycle quality improvement education group of >or= 30 hospitals each. Of the 64 hospitals initially interested in participating, 7 could not produce the required quality data and 10 refused consent to randomization. Of the 23 hospitals randomized to the educational intervention, 16 completed the educational program, 1 attended the didactic sessions but did not complete the required quality improvement project, 3 enrolled in "make-up" sessions, and 3 were unable to attend. Of the 42 individuals who attended educational sessions, 5 (12%) have left their positions. Quality improvement interventions require several different approaches to engage participating organizations and should include plans to train new staff given the high turnover of health care quality improvement personnel.

A hospital-randomized controlled trial of an educational quality improvement intervention in rural and small community hospitals in Texas following implementation of information technology.

Rural and small community hospitals typically have few resources and little experience with quality improvement (QI) and, on average, demonstrate poorer quality of care than larger facilities. Formalized QI education shows promise in improving quality, but little is known about its effect in rural and small community hospitals. The authors describe a randomized controlled trial assigning 47 rural and small community Texas hospitals to such a program (n = 23) or to the control group (n = 24), following provision of a Web-based quality benchmarking and case review tool. Centers for Medicare and Medicaid Services Core Measures composite scores for congestive heart failure (CHF) and community-acquired pneumonia (CAP), using Texas Medical Foundation data collected via the QualityNet Exchange system, are compared for the groups, for 2 years postintervention. Given the estimated baseline rates for the CHF (68%) and CAP (66%) composites, the cohort enables the detection of 14% and 11% differences (alpha = .05; power = 0.8), respectively.

Taking advantage of public reporting: An infection composite score to assist evaluating hospital performance for infection prevention efforts.

BACKGROUND: The standardized infection ratio (SIR) evaluates individual publicly reported health care-associated infections, but it may not assess overall performance. METHODS: We piloted an infection composite score (ICS) in 82 hospitals of a single health system. The ICS is a combined score for central line-associated bloodstream infections, catheter-associated urinary tract infections, colon and abdominal hysterectomy surgical site infections, and hospital-onset methicillin-resistant Staphylococcus aureus bacteremia and Clostridium difficile infections. Individual facility ICSs were calculated by normalizing each of the 6 SIR events to the system SIR for baseline and performance periods (ICSib and ICSip, respectively). A hospital ICSib reflected its baseline performance compared with system baseline, whereas a ICSip provided information of its outcome changes compared with system baseline. RESULTS: Both the ICSib (baseline 2013) and ICSip (performance 2014) were calculated for 63 hospitals (reporting at least 4 of the 6 event types). The ICSip improved in 36 of 63 (57.1%) hospitals in 2014 when compared with the ICSib in 2013. The ICSib 2013 median was 0.96 (range, 0.13-2.94) versus the 2014 ICSip median of 0.92 (range, 0-6.55). Variation was more evident in hospitals with ≤100 beds. The system performance score (ICSsp) in 2014 was 0.95, a 5% improvement compared with 2013. CONCLUSIONS: The proposed ICS may help large health systems and state hospital associations better evaluate key infectious outcomes, comparing them with historic and concurrent performance of peers.

Quality of care of Medicare patients with diabetes in a metropolitan fee-for-service primary care integrated delivery system.

Diabetes care in the United States is suboptimal. Although closed-panel health maintenance organizations (HMOs) and the Department of Veterans Affairs (VA) report performance superior to national norms, fee-for-service performance is uncertain. To address this issue, 3 outcome and 5 process indicators were measured for 2010 Medicare diabetes patients across 22 sites in a large, fee-for-service primary care group practice. American Diabetes Association standards for glycemic control, low-density lipoprotein cholesterol, and blood pressure were met by 53%, 46%, and 19% of patients, respectively. Diabetes Quality Improvement Project/Alliance poor control markers for the same measures were exceeded by 9%, 20%, and 54% of patients. Chart abstraction demonstrated annual eye examination, foot examination, and nephropathy screening rates of 16%, 49%, and 38%, while Medicare claims showed an annual eye examination rate of 63%. Observed processes and outcomes in this fee-for-service setting were superior to reported national performance and similar to the best performance in staff-model HMOs and the VA.

Differences in end-of-life preferences between congestive heart failure and dementia in a medical house calls program.

OBJECTIVES: To compare end-of-life preferences in elderly individuals with dementia and congestive heart failure (CHF). DESIGN: Retrospective case-control study. SETTING: Geriatrician-led interdisciplinary house-call program using an electronic medical record. PARTICIPANTS: Homebound individuals who died while under the care of the house-call program from October 1996 to April 2001. MEASUREMENTS: Medical records review for demographics, functional status, advance medical planning, hospice use, and place of death. RESULTS: Of 172 patients who died in the program, 29 had CHF, 79 had dementia, 34 had both, and 30 had neither. Patients with CHF were younger (82.6 vs 87.0, P=.011) and less functionally dependent (activities of daily living score 9.1 vs 11.5, P=.001). Time from enrollment to death was not significantly different (mean+/-standard deviation=444+/-375 days for CHF vs 325+/-330 days for dementia, P=.113). A do-not-resuscitate (DNR) directive was given in 62% of patients with CHF and 91% with dementia (P<.001). Advance medical planning discussions were not significantly different (2.10 in CHF vs 1.65 in dementia, P=.100). More patients with CHF participated in their advance medical planning than those with dementia (86% vs 17%, P<.001). Hospice was used in 24% of CHF and 61% of dementia cases (P<.001). Finally, 45% of patients with CHF and 18% of patients with dementia died in the acute hospital (P=.006). Multivariate analysis showed that the fact that more patients with CHF were involved in their medical planning was not significant in predicting end-of-life preferences. Alternatively, Caucasian ethnicity was an independent predictor of having a documented DNR and death outside of the acute hospital. CONCLUSION: In the months before death, patients with CHF were more likely to have care plans directed at disease modification and treatment, whereas dementia patients were more likely to have care plans that focused on symptom relief and anticipation of dying. Several factors may contribute to this difference.

Compounding pharmacy conundrum: "we cannot live without them but we cannot live with them" according to the present paradigm.

Compounding pharmacies serve a critical role in modern health care to meet special patient care needs. Although the US Food and Drug Administration (FDA) has clearly delineated jurisdiction over drug companies and products manufactured under Good Manufacturing Practice (GMP) regulations to ensure quality, potency, and purity, compounding pharmacies are regulated by the State Boards and are not registered by the FDA. In recent years, some compounding pharmacies acted like a manufacturer, preparing large amounts of injectable drugs with interstate activities. Multiple outbreaks have been linked to compounding pharmacies, including a recent outbreak of fungal meningitis related to contaminated methylprednisolone, exposing > 14,000 patients in multiple states. This tragedy underscores the urgency of addressing safety related to compounding pharmacies. There is a call for action at the federal and state levels to set minimum production standards, impose new labeling conditions on compounded drugs, and require large-scale compounders be regulated by the FDA. "Industrial" compounding must come under FDA oversight, require those pharmacies to meet GMP standards, and ensure quality and safe products for patient use. Moreover, compliance with the Institute for Safe Medication Practices 2011 recommendations that any type of sterile compounding must be in compliance with the United States Pharmacopoeia chapter 797 guidelines will reduce the risk of patient harm from microbial contamination. Finally, other critical factors that require close attention include addressing injectable products compounded in hospitals and other outpatient health-care centers. The FDA and State Boards of Pharmacy must be adequately funded to exercise the oversight effectively.

Clinical quality is independently associated with favorable bond ratings.

The relation between clinical quality and bond rating for nonprofit hospitals has been proposed but never fully studied. We analyzed the relation between bond rating, clinical quality measures (The Joint Commission/Centers for Medicare and Medicaid Services [CMS] core measures), and balance sheet and income statement financial measures of 236 hospitals across the United States that are rated by Moody's Investors Service and that reported clinical quality measures to CMS during the study period. We found a statistically significant relation between higher quality measures and more favorable bond ratings. This association remained significant after controlling for traditional financial parameters.

Linking joint commission inpatient core measures and national patient safety goals with evidence.

As an initiative of Baylor Health Care System's Best Care Committee, we summarized the association between the Joint Commission's hospital core measures/safety goals and patient outcomes. This summary (which will be formatted as a small, laminated card) can be used by change leaders to communicate the relevance of clinical quality goals. By disseminating this evidence broadly, we aim to further invest clinical staff in delivery of specific care processes, maximize care efforts related to core measures, and extend quality improvement efforts within our organization.

Accelerating best care at baylor dallas.

A culture of quality improvement (QI) is needed to bridge the gap between possible STEEEP (safe, timely, effective, efficient, equitable, and patient-centered) care and actual usual care. Baylor Health Care System (BHCS) developed Accelerating Best Care at Baylor (ABC Baylor), an innovative educational program that teaches health care leaders the theory and techniques of rapid-cycle QI. Course participants learn general principles of continuous QI, as well as health care-specific QI techniques, and finish the course by designing and implementing their own QI project. ABC Baylor has been employed in a variety of settings and has spread its success to other organizations, especially small and rural hospitals. These hospitals, like BHCS, have demonstrated sustained improvements that are due in part to the use of ABC Baylor and its reliance on specific modules that focus on health care safety, service, equity, and chronic disease management. The role of ABC Baylor training and consulting is part of the overall culture and infrastructure that have allowed BHCS to achieve success in its improvement journey, including the receipt of several national awards and the achievement of high reliability in compliance with Centers for Medicare and Medicaid Services core measures of processes of care related to heart failure, acute myocardial infarction, community-acquired pneumonia, and surgical care. The culture of rapid-cycle QI facilitated by ABC Baylor serves to link BHCS's vision and goals to practical execution.

Risk factors for 30-day hospital readmission in patients ≥65 years of age.

The objective of the study was to develop and validate predictors of 30-day hospital readmission using readily available administrative data and to compare prediction models that use alternate comorbidity classifications. A retrospective cohort study was designed; the models were developed in a two-thirds random sample and validated in the remaining one-third sample. The study cohort consisted of 29,292 adults aged 65 or older who were admitted from July 2002 to June 2004 to any of seven acute care hospitals in the Dallas-Fort Worth metropolitan area affiliated with the Baylor Health Care System. Demographic variables (age, sex, race), health system variables (insurance, discharge location, medical vs surgical service), comorbidity (classified by the Elixhauser classification or the High-Risk Diagnoses in the Elderly Scale), and geographic variables (distance from patient's residence to hospital and median income) were assessed by estimating relative risk and risk difference for 30-day readmission. Population-attributable risk was calculated. Results showed that age 75 or older, male sex, African American race, medical vs surgical service, Medicare with no other insurance, discharge to a skilled nursing facility, and specific comorbidities predicted 30-day readmission. Models with demographic, health system, and either comorbidity classification covariates performed similarly, with modest discrimination (C statistic, 0.65) and acceptable calibration (Hosmer-Lemeshow χ² = 6.08; P > 0.24). Models with demographic variables, health system variables, and number of comorbid conditions also performed adequately. Discharge to long-term care (relative risk, 1.94; 95% confidence interval, 1.80- 2.09) had the highest population-attributable risk of 30-day readmission (12.86%). A 25% threshold of predicted probability of 30-day readmission identified 4.1 % of patients ≥65 years old as priority patients for improved discharge planning. We conclude that elders with a high risk of 30-day hospital readmission can be identified early in their hospital course.

The effects of interdisciplinary outpatient geriatrics on the use, costs and quality of health services in the fee-for-service environment.

BACKGROUND AND AIMS: To evaluate the effect of interdisciplinary outpatient geriatrics on the use, cost, and quality of health services in a fee-for-service (FFS) environment of two networks of primary care clinics operated by a not-for-profit provider organization in Dallas County, Texas. METHODS: The Senior Health Network (SHN) provides interdisciplinary primary care to patients aged 55 years or older; the Health Texas Provider Network (HTPN) provides "usual" primary care to patients of all ages. We conducted a two-year retrospective cohort study of 13,098 fee-for-service Medicare beneficiaries who had 2+ visits to one of the networks in 2000. In the SHN, interdisciplinary teams supplemented primary care with social services, specialized clinics, and health education. We compared the use, cost and quality of health services, as reflected by paid Medicare claims, provided to eligible patients in the SHN vs the HTPN. RESULTS: Medicare payments for hospital, skilled nursing facility, and home health care services were lower for SHN patients than HTPN patients (-32.7%, -19.8%, and -23.8%, respectively, p

Effectiveness of diabetes resource nurse case management and physician profiling in a fee-for-service setting: a cluster randomized trial.

Nurses with advanced training-diabetes resource nurses (DRNs)-can improve care for people with diabetes in capitated payment settings. Their effectiveness in fee-for-service settings has not been investigated. We conducted a 12-month practice-randomized trial involving 22 practices in a fee-for-service metropolitan network with 92 primary care physicians caring for 1891 Medicare patients ≥65 years with diabetes mellitus. Each practice was randomized to one of three intervention groups: physician feedback on process measures using Medicare claims data; Medicare claims feedback plus feedback on clinical measures from medical record (MR) abstraction; or both types of feedback plus a practice-based DRN. The primary endpoint investigated was hemoglobin A(1c) level. Other measures were low-density lipoprotein (LDL) cholesterol level, blood pressure, annual hemoglobin A(1c) testing, annual LDL screening, annual eye exam, annual foot exam, and annual renal assessment. Data were collected from medical chart abstraction and Medicare claims. The number of patients with hemoglobin A(1c) <9% increased by 4 (0.9%) in the Claims group; 9 (2.1%) in the Claims + MR group (comparison with Claims: P = 0.97); and 16 (3.8%) in the DRN group (comparison with Claims: P = 0.31). Results were similar for the other clinical outcomes, with no differences significant at P = 0.10. For process of care measures, decreases were seen in all groups, with no significant differences in change scores. Quality improvement strategies must be evaluated in the appropriate setting. Initiatives that have been effective in capitated systems may not be effective in fee-for-service environments.