Electronic health records (EHRs) have been promoted as a key driver of improved patient care and outcomes and as an essential component of learning health systems. However, to date, many EHRs are not optimized to support delivery of quality and safety initiatives, particularly in Intensive Care Units (ICUs). Delirium is a common and severe problem for ICU patients that may be prevented or mitigated through the use of evidence-based care processes (daily awakening and breathing trials, formal delirium screening, and early mobility-collectively known as the "ABCDE bundle"). This case study describes how an integrated health care delivery system modified its inpatient EHR to accelerate the implementation and evaluation of ABCDE bundle deployment as a safety and quality initiative.In order to facilitate uptake of the ABCDE bundle and measure delivery of the care processes within the bundle, we worked with clinical and technical experts to create structured data fields for documentation of bundle elements and to identify where these fields should be placed within the EHR to streamline staff workflow. We created an "ABCDE" tab in the existing patient viewer that allowed providers to easily identify which components of the bundle the patient had and had not received. We examined the percentage of ABCDE bundle elements captured in these structured data fields over time to track compliance with data entry procedures and to improve documentation of care processes.Modifying the EHR to support ABCDE bundle deployment was a complex and time-consuming process. We found that it was critical to gain buy-in from senior leadership on the importance of the ABCDE bundle to secure information technology (IT) resources, understand the different workflows of members of multidisciplinary care teams, and obtain continuous feedback from staff on the EHR revisions during the development cycle. We also observed that it was essential to provide ongoing training to staff on proper use of the new EHR documentation fields. Lastly, timely reporting on ABCDE bundle performance may be essential to improved practice adoption and documentation of care processes.The creation of learning health systems is contingent on an ability to modify EHRs to meet emerging care delivery and quality improvement needs. Although this study focuses on the prevention and mitigation of delirium in ICUs, our process for identifying key data elements and making modifications to the EHR, as well as the lessons learned from the IT components of this program, are generalizable to other health care settings and conditions.
Health services research is “a multidisciplinary field of scientific investigation that studies how social factors, financing systems, organizational structures and processes, health technologies, and personal behaviors affect access to healthcare, the quality and cost of healthcare, and
Nonalcoholic steatohepatitis (NASH) is characterized by ectopic fat deposition in the liver and is associated with hepatic in.ammation, hepatocyte dysfunction, and with Nonalcoholic steatohepatitis (NASH) is characterized by ectopic fat deposition in the liver and is associated with hepatic inflammation, hepatocyte dysfunction, and with cirrhosis in 20% of afficted individuals. The underlying causes of NASH are largely unknown, however, increases in population levels of obesity and physical inactivity may be links in the etiological chain. PURPOSE To determine the prevalence of NASH across levels of cardiorespiratory fitness and body mass index (BMI) in men. METHODS Participants were 154 nonsmoking men from the Aerobics Center Longitudinal Study who were free of known CHD, cancer, and metabolic disease; and were not on statin therapy. We measured liver and spleen fat by computed tomography and defined NASH as having plasma alanine aminotransferase (ALT)>35 U/L with a liver/spleen (L/S) attenuation ratio ≤1.0. Fitness was defined as thirds of maximal METs achieved during a graded treadmill exercise test. BMI was categorized as normal weight (NW;18.5–24.9 kg/m2), overweight (OW;25 −29.9 kg/m2) & obese (OB:=30 kg/m2). RESULTS The prevalence of NASH was higher across categories of BMI:NW (0%), OW (4.8%), & OB (15.8%, Trend χ2df=2 =8.045, p < 0.018); and declined across the lowest (12%), middle (8%) and highest (0%) third of fitness (Trend χ2df=2 =6.47, P=0.039). Using multivariable logistic regression, age (p=0.03), alcohol use (p=0.06) and BMI (p=0.02) were directly associated with higher risk of having NASH while higher levels of fitness (p=0.05) were inversely associated with lower risk of having NASH. CONCLUSION Higher levels of fitness and lower levels of BMI are associated with a lower prevalence of NASH.TableSupported by NIH grant HL62508- 04 & AG06945
Real-world evaluations have demonstrated high effectiveness of vaccines against COVID-19-associated hospitalizations (1-4) measured shortly after vaccination; longer follow-up is needed to assess durability of protection. In an evaluation at 21 hospitals in 18 states, the duration of mRNA vaccine (Pfizer-BioNTech or Moderna) effectiveness (VE) against COVID-19-associated hospitalizations was assessed among adults aged ≥18 years. Among 3,089 hospitalized adults (including 1,194 COVID-19 case-patients and 1,895 non-COVID-19 control-patients), the median age was 59 years, 48.7% were female, and 21.1% had an immunocompromising condition. Overall, 141 (11.8%) case-patients and 988 (52.1%) controls were fully vaccinated (defined as receipt of the second dose of Pfizer-BioNTech or Moderna mRNA COVID-19 vaccines ≥14 days before illness onset), with a median interval of 65 days (range = 14-166 days) after receipt of second dose. VE against COVID-19-associated hospitalization during the full surveillance period was 86% (95% confidence interval [CI] = 82%-88%) overall and 90% (95% CI = 87%-92%) among adults without immunocompromising conditions. VE against COVID-19- associated hospitalization was 86% (95% CI = 82%-90%) 2-12 weeks and 84% (95% CI = 77%-90%) 13-24 weeks from receipt of the second vaccine dose, with no significant change between these periods (p = 0.854). Whole genome sequencing of 454 case-patient specimens found that 242 (53.3%) belonged to the B.1.1.7 (Alpha) lineage and 74 (16.3%) to the B.1.617.2 (Delta) lineage. Effectiveness of mRNA vaccines against COVID-19-associated hospitalization was sustained over a 24-week period, including among groups at higher risk for severe COVID-19; ongoing monitoring is needed as new SARS-CoV-2 variants emerge. To reduce their risk for hospitalization, all eligible persons should be offered COVID-19 vaccination.
The third paper in a series on how learning health systems can use routinely collected electronic health data (EHD) to advance knowledge and support continuous learning, this review describes how analytical methods for individual-level electronic health data EHD, including regression approaches, interrupted time series (ITS) analyses, instrumental variables, and propensity score methods, can also be used to address the question of whether the intervention “works.”The two major potential sources of bias in non-experimental studies of health care interventions are that the treatment groups compared do not have the same probability of treatment or exposure and the potential for confounding by unmeasured covariates. Although very different, the approaches presented in this chapter are all based on assumptions about data, causal relationships, and biases. For instance, regression approaches assume that the relationship between the treatment, outcome, and other variables is properly specified, all of the variables are available for analysis (i.e., no unobserved confounders) and measured without error, and that the error term is independent and identically distributed. The instrumental variables approach requires identifying an instrument that is related to the assignment of treatment but otherwise has no direct on the outcome. Propensity score methods approaches, on the other hand, assume that there are no unobserved confounders. The epidemiological designs discussed also make assumptions, for instance that individuals can serve as their own control.To properly address these assumptions, analysts should conduct sensitivity analyses within the assumptions of each method to assess the potential impact of what cannot be observed. Researchers also should analyze the same data with different analytical approaches that make alternative assumptions, and to apply the same methods to different data sets. Finally, different analytical methods, each subject to different biases, should be used in combination and together with different designs, to limit the potential for bias in the final results.
Background: Nationally, many ASCVD patients fail to achieve an LDL-C <70 mg/dL, and uptake of both statin and non-statin therapies is low. The degree to which this varies across health systems is less clear. Methods: A cross sectional analysis was performed where lipid levels and lipid lowering therapies (LLT) were assessed using electronic health record data in patients with a previous diagnosis of ASCVD. The data was obtained across 14 US healthcare systems between 1/1/2021-12/31/2022. Proportions of patients with an active prescription of any statin, high intensity statin, ezetimibe, PCSK9i, and combination therapy (two or more agents) within 395 days of the most recent LDL-C value (index date) was evaluated overall and by participating site. Additionally, the proportion of patients with an LDL-C <70 mg/dL at the index date was also assessed. Results: Across 14 health systems, 1,118,623 patients with ASCVD were identified (median 61,840 per health system, range 8,161-182,315). Overall, 675,776 (60.4%) had an LDL-C level in the past year (range 39.1% - 70.8%). Of those with a lipid level, achievement of LDL-C <70 mg/dL ranged from 34.6-47.2%. In total, 42.6% were on any statin, 20.1% were on a high intensity statin, 4.3% on ezetimibe, and 1.2% on a PCSK9i. Only 2.9% were on combination therapy of a statin with ezetimibe or a PCSK9i. Variability was seen across health systems in utilization of each of these therapies, however even in the highest performing health systems, LLT uptake and achievement of LDL-C < 70mg/dL remained low ( Figure). Conclusion: Variability in utilization of LLT in ASCVD patients between health systems suggests that system-level factors may impact achieving guideline-based LDL-C goals. Despite the variability, the highest proportion of patients achieving an LDL-C <70mg/dL remained under 50% indicating the need for aggressive implementation efforts.
Abstract Background: Most treatments deemed effective for Helicobacter pylori eradication in developed countries are less effective in developing countries. Regimens containing clarithromycin, metronidazole, and amoxicillin seem efficacious despite antibiotic resistance, and may be a viable option in developing countries. Materials and Methods: We evaluated the efficacy of a 14‐day regimen with 500 mg clarithromycin b.i.d., 500 mg metronidazole t.i.d., and 500 mg amoxicillin t.i.d. (with and without a proton pump inhibitor), and a 10‐day regimen containing 500 mg clarithromycin b.i.d., 1 g amoxicillin b.i.d., and 20 mg omeprazole b.i.d. in Pasto, Colombia, using a randomized, single‐blind design stratified by presence of atrophic gastritis. Results: H. pylori was eradicated in 86.8% and 85.3% of the participants randomized to a clarithromycin‐metronidazole‐amoxicillin and clarithromycin‐amoxicillin‐omeprazole regimens, respectively ( p = .79). Per‐protocol analyses indicated greater efficacy for the clarithromycin‐metronidazole‐amoxicillin regimen (97%) versus the clarithromycin‐amoxicillin‐omeprazole regimen (86%) ( p = .04), particularly for participants with atrophic gastritis (clarithromycin‐metronidazole‐amoxicillin = 100%, clarithromycin‐amoxicillin‐omeprazole = 81%; p = .02). Adverse events were mild, but adverse event‐related non‐compliance was reported more often for regimens containing clarithromycin, metronidazole, and amoxicillin. Conclusions: Our results suggest that an eradication rate of > 85% can be achieved with 14‐day clarithromycin, metronidazole, and amoxicillin and 10‐day clarithromycin, amoxicillin, and omeprazole regimens in Pasto, Colombia. The regimens containing clarithromycin, metronidazole, and amoxicillin appear to be superior to the clarithromycin, amoxicillin, and omeprazole regimen for compliant participants and those with atrophic gastritis. Our findings provide treatment options for a population in a developing country with a high prevalence of H. pylori infections and antibiotic resistance.
Victor Stevens1, Steffani Bailey2, Brian Hazlehurst1, Stephen Kurtz1, Andrew Masica3, MaryAnn McBurnie1, Elisa Priest3, Jon Puro2, Nancy Rigotti4, Leif Solberg5 and Andrew Williams6 1Kaiser Permanente Northwest 2OCHIN, Inc. 3Baylor Health Care System 4Massachusetts General Hospital 5HealthPartners 6Kaiser Permanente Hawaii
