Impact of Quality Improvement (QI) Program on 5-Year Risk of Diabetes-Related Complications: A Simulation Study.

OBJECTIVE: We successfully implemented the American Diabetes Association's (ADA) Diabetes INSIDE (INspiring System Improvement with Data-Driven Excellence) quality improvement (QI) program at a university hospital and safety-net health system (Tulane and Parkland), focused on system-wide improvement in poorly controlled type 2 diabetes (HbA1c >8.0% [64 mmol/mol]). In this study, we estimated the 5-year risk reduction in complications and mortality associated with the QI program. RESEARCH DESIGN AND METHODS: The QI implementation period was 1 year, followed by the postintervention period of 6 months to evaluate the impact of QI on clinical measures. We measured the differences between the baseline and postintervention clinical outcomes in 2,429 individuals with HbA1c >8% (64 mmol/mol) at baseline and used the Building, Relating, Assessing, and Validating Outcomes (BRAVO) diabetes model to project the 5-year risk reduction of diabetes-related complications under the assumption that intervention benefits persist over time. An alternative assumption that intervention benefits diminish by 30% every year was also tested. RESULTS: The QI program was associated with reductions in HbA1c (-0.84%) and LDL cholesterol (LDL-C) (-5.94 mg/dL) among individuals with HbA1c level >8.0% (64 mmol/mol), with greater reduction in HbA1c (-1.67%) and LDL-C (-6.81 mg/dL) among those with HbA1c level >9.5% at baseline (all P < 0.05). The implementation of the Diabetes INSIDE QI program was associated with 5-year risk reductions in major adverse cardiovascular events (MACE) (relative risk [RR] 0.78 [95% CI 0.75-0.81]) and all-cause mortality (RR 0.83 [95% CI 0.82-0.85]) among individuals with baseline HbA1c level >8.0% (64 mmol/mol), and MACE (RR 0.60 [95% CI 0.56-0.65]) and all-cause mortality (RR 0.61 [95% CI 0.59-0.64]) among individuals with baseline HbA1c level >9.5% (80 mmol/mol). Sensitivity analysis also identified a substantially lower risk of diabetes-related complications and mortality associated with the QI program. CONCLUSIONS: Our modeling results suggest that the ADA's Diabetes INSIDE QI program would benefit the patients and population by substantially reducing the 5-year risk of complications and mortality in individuals with diabetes.

Quality Improvement at an Academic Cancer Center: Venous Thromboembolism Prophylaxis in Patients With Multiple Myeloma.

Patients with multiple myeloma are at elevated risk of venous thromboembolism (VTE), the second leading cause of death in patients with cancer, but physician adherence to VTE prevention guidelines is low. Several organizations partnered in designing and implementing a 2-year quality improvement (QI) program in a tertiary care/academic cancer center, to increase awareness of VTE prophylaxis for patients with multiple myeloma and thus improve adherence to prophylaxis guidelines and protocols. The QI arm included 2 chart audits, conducted 2 years apart, of unmatched cohorts of 100 patients with multiple myeloma. An Education arm included 2 grand rounds presentations, 3 web-based case discussions, and a patient education module. Twenty providers took part in the continuous QI arm. More than 1100 learners participated in the online cases; the patient education curriculum reached 112 multiple myeloma patients. The initiative proved helpful in defining barriers to guideline adherence and identifying data-driven practice improvement strategies for VTE prophylaxis. It also increased learner awareness of VTE guidelines, patient risk stratification, and optimal thromboprophylaxis strategies. There was a reduction in VTE events (primary clinical outcome) from 10% at baseline to 4% in the follow-up cohort, although this was not statistically significant. Higher rates of guideline-based prophylaxis were observed in low-risk patients, and a lower incidence of VTE was observed in multiple myeloma patients with a prior history of VTE. Additional research is needed to refine prophylaxis guidelines. With appropriate institutional support, this type of QI program can be readily adopted by other organizations to address practice improvement needs.

Diabetes INSIDE: Improving Population HbA1c Testing and Targets in Primary Care With a Quality Initiative.

OBJECTIVE: To improve outcomes of patients with adult type 2 diabetes by decreasing HbA1c undertesting, reducing the proportion of patients with poor glycemic control, and lowering mean HbA1c levels using a quality improvement (QI) program. RESEARCH DESIGN AND METHODS: Six years of outpatient electronic health record (EHR) data were analyzed for care gaps before and 2 years after implementing a QI initiative in an urban academic medical center. QI strategies included 1) individual provider and departmental outcome reports, 2) patient outreach programs to address timely follow-up care, 3) a patient awareness campaign to improve understanding of achieving clinical goals, 4) improving EHR data capture to improve population monitoring, and 5) professional education. RESULTS: Analysis (January 2010 to May 2018) of 7,798 patients from Tulane Medical Center (mean age 61 years, 57% female, 62% black, 97% insured) with 136,004 visits showed target improvements. A Cox proportional hazards model controlling for age, sex, race, and HbA1c level showed a statistically significant reduction in HbA1c undertesting >6 months (hazard ratio 1.20 ± 0.07). Statistical process control charts showed 15.5% relative improvement in the patient proportion with HbA1c >9% (75 mmol/mol) from 13% to 11% (P < 10-6) following QI interventions and a 2.1% improvement of population mean HbA1c from 7.4% (57 mmol/mol) to 7.2% (55 mmol/mol) (P < 10-6). CONCLUSIONS: Multidisciplinary QI teams using EHR data to design interventions for providers and patients produced statistically significant improvements in both care process and clinical outcome goals.

Effect of health information technology interventions on lipid management in clinical practice: a systematic review of randomized controlled trials.

BACKGROUND: Large gaps in lipid treatment and medication adherence persist in high-risk outpatients in the United States. Health information technology (HIT) is being applied to close quality gaps in chronic illness care, but its utility for lipid management has not been widely studied. OBJECTIVE: To perform a qualitative review of the impact of HIT interventions on lipid management processes of care (screening or testing; drug initiation, titration or adherence; or referrals) or clinical outcomes (percent at low density lipoprotein cholesterol goal; absolute lipid levels; absolute risk scores; or cardiac hospitalizations) in outpatients with coronary heart disease or at increased risk. METHODS: PubMed and Google Scholar databases were searched using Medical Subject Headings related to clinical informatics and cholesterol or lipid management. English language articles that described a randomized controlled design, tested at least one HIT tool in high risk outpatients, and reported at least 1 lipid management process measure or clinical outcome, were included. RESULTS: Thirty-four studies that enrolled 87,874 persons were identified. Study ratings, outcomes, and magnitude of effects varied widely. Twenty-three trials reported a significant positive effect from a HIT tool on lipid management, but only 14 showed evidence that HIT interventions improve clinical outcomes. There was mixed evidence that provider-level computerized decision support improves outcomes. There was more evidence in support of patient-level tools that provide connectivity to the healthcare system, as well as system-level interventions that involve database monitoring and outreach by centralized care teams. CONCLUSION: Randomized controlled trials show wide variability in the effects of HIT on lipid management outcomes. Evidence suggests that multilevel HIT approaches that target not only providers but include patients and systems approaches will be needed to improve lipid treatment, adherence and quality.

Use of health information technology (HIT) to improve statin adherence and low-density lipoprotein cholesterol goal attainment in high-risk patients: proceedings from a workshop.

The workshop discussions focused on how low-density lipoprotein cholesterol (LDL-C) goal attainment can be enhanced with the use of health information technology (HIT) in different clinical settings. A gap is acknowledged in LDL-C goal attainment, but because of the passage of the American Recovery & Reinvestment Act and the Health Information Technology for Economic and Clinical Health Acts there is now reason for optimism that this gap can be narrowed. For HIT to be effectively used to achieve treatment goals, it must be implemented in a setting in which the health care team is fully committed to achieving these goals. Implementation of HIT alone has not resulted in reducing the gap. It is critical to build an effective management strategy into the HIT platform without increasing the overall work/time burden on staff. By enhancing communication between the health care team and the patient, more timely adjustments to treatment plans can be made with greater opportunity for LDL-C goal attainment and improved efficiency in the long run. Patients would be encouraged to take a more active role. Support tools are available. The National Lipid Association has developed a toolkit designed to improve patient compliance and could be modified for use in an HIT system. The importance of a collaborative approach between nongovernmental organizations such as the National Lipid Association, National Quality Forum, HIT partners, and other members of the health care industry offers the best opportunity for long-term success and the real possibility that such efforts could be applied to other chronic conditions, for example, diabetes and hypertension.