Effects of conformance to type 2 diabetes guidelines on health care resource utilization, clinical outcomes, and cost: A retrospective claims analysis.

OBJECTIVES: To determine if there is a difference in the outcomes of diabetes patients managed with high, intermediate, or low conformance to diabetes guidelines. STUDY DESIGN: Retrospective database analysis. METHODS: This was a retrospective database analysis of adults diagnosed with type 2 diabetes and with glycated hemoglobin (HbA1c) ≥7% (53 mmol/mol) who were commercially insured by, or receiving Medicare benefits through, Aetna. Subjects were classified as having high, intermediate, or low conformance to current guidelines. Six, 12, and 18 months later, health care resource utilization, clinical outcomes, and costs were assessed using multivariable regression analysis to determine whether differences existed between patients with high, intermediate, and low conformance. Regression models were adjusted using pre-index variables, and the results were expressed as incidence rate ratios (IRRs) with 95% confidence intervals (CIs). RESULTS: A total of 21,171 individuals were included in the analysis. In analyses of patients with low versus high conformance, pharmacy costs were significantly lower over 18 months of outcome assessment (P < 0.001), but diabetes-related outpatient costs were significantly higher (P < 0.001). In analyses of patients with intermediate versus high conformance, diabetes-related outpatient costs were significantly greater at 12 and 18 months (P < 0.001 for both). CONCLUSIONS: Reduced conformance to guidelines leads to higher diabetes-related costs.

Digital recruitment and enrollment in a remote nationwide trial of screening for undiagnosed atrial fibrillation: Lessons from the randomized, controlled mSToPS trial.

OBJECTIVES: The advent of large databases, wearable technology, and novel communications methods has the potential to expand the pool of candidate research participants and offer them the flexibility and convenience of participating in remote research. However, reports of their effectiveness are sparse. We assessed the use of various forms of outreach within a nationwide randomized clinical trial being conducted entirely by remote means. METHODS: Candidate participants at possibly higher risk for atrial fibrillation were identified by means of a large insurance claims database and invited to participate in the study by their insurance provider. Enrolled participants were randomly assigned to one of two groups testing a wearable sensor device for detection of the arrhythmia. RESULTS: Over 10 months, the various outreach methods used resulted in enrollment of 2659 participants meeting eligibility criteria. Starting with a baseline enrollment rate of 0.8% in response to an email invitation, the recruitment campaign was iteratively optimized to ultimately include website changes and the use of a five-step outreach process (three short, personalized emails and two direct mailers) that highlighted the appeal of new technology used in the study, resulting in an enrollment rate of 9.4%. Messaging that highlighted access to new technology outperformed both appeals to altruism and appeals that highlighted accessing personal health information. CONCLUSIONS: Targeted outreach, enrollment, and management of large remote clinical trials is feasible and can be improved with an iterative approach, although more work is needed to learn how to best recruit and retain potential research participants. TRIAL REGISTRATION: Clinicaltrials.govNCT02506244. Registered 23 July 2015.

Effect of a Home-Based Wearable Continuous ECG Monitoring Patch on Detection of Undiagnosed Atrial Fibrillation: The mSToPS Randomized Clinical Trial.

Importance: Opportunistic screening for atrial fibrillation (AF) is recommended, and improved methods of early identification could allow for the initiation of appropriate therapies to prevent the adverse health outcomes associated with AF. Objective: To determine the effect of a self-applied wearable electrocardiogram (ECG) patch in detecting AF and the clinical consequences associated with such a detection strategy. Design, Setting, and Participants: A direct-to-participant randomized clinical trial and prospective matched observational cohort study were conducted among members of a large national health plan. Recruitment began November 17, 2015, and was completed on October 4, 2016, and 1-year claims-based follow-up concluded in January 2018. For the clinical trial, 2659 individuals were randomized to active home-based monitoring to start immediately or delayed by 4 months. For the observational study, 2 deidentified age-, sex- and CHA2DS2-VASc-matched controls were selected for each actively monitored individual. Interventions: The actively monitored cohort wore a self-applied continuous ECG monitoring patch at home during routine activities for up to 4 weeks, initiated either immediately after enrolling (n = 1364) or delayed for 4 months after enrollment (n = 1291). Main Outcomes and Measures: The primary end point was the incidence of a new diagnosis of AF at 4 months among those randomized to immediate monitoring vs delayed monitoring. A secondary end point was new AF diagnosis at 1 year in the combined actively monitored groups vs matched observational controls. Other outcomes included new prescriptions for anticoagulants and health care utilization (outpatient cardiology visits, primary care visits, or AF-related emergency department visits and hospitalizations) at 1 year. Results: The randomized groups included 2659 participants (mean [SD] age, 72.4 [7.3] years; 38.6% women), of whom 1738 (65.4%) completed active monitoring. The observational study comprised 5214 (mean [SD] age, 73.7 [7.0] years; 40.5% women; median CHA2DS2-VASc score, 3.0), including 1738 actively monitored individuals from the randomized trial and 3476 matched controls. In the randomized study, new AF was identified by 4 months in 3.9% (53/1366) of the immediate group vs 0.9% (12/1293) in the delayed group (absolute difference, 3.0% [95% CI, 1.8%-4.1%]). At 1 year, AF was newly diagnosed in 109 monitored (6.7 per 100 person-years) and 81 unmonitored (2.6 per 100 person-years; difference, 4.1 [95% CI, 3.9-4.2]) individuals. Active monitoring was associated with increased initiation of anticoagulants (5.7 vs 3.7 per 100 person-years; difference, 2.0 [95% CI, 1.9-2.2]), outpatient cardiology visits (33.5 vs 26.0 per 100 person-years; difference, 7.5 [95% CI, 7.2-7.9), and primary care visits (83.5 vs 82.6 per 100 person-years; difference, 0.9 [95% CI, 0.4-1.5]). There was no difference in AF-related emergency department visits and hospitalizations (1.3 vs 1.4 per 100 person-years; difference, 0.1 [95% CI, -0.1 to 0]). Conclusions and Relevance: Among individuals at high risk for AF, immediate monitoring with a home-based wearable ECG sensor patch, compared with delayed monitoring, resulted in a higher rate of AF diagnosis after 4 months. Monitored individuals, compared with nonmonitored controls, had higher rates of AF diagnosis, greater initiation of anticoagulants, but also increased health care resource utilization at 1 year. Trial Registration: ClinicalTrials.gov Identifier: NCT02506244.

Rationale and design of a home-based trial using wearable sensors to detect asymptomatic atrial fibrillation in a targeted population: The mHealth Screening To Prevent Strokes (mSToPS) trial.

Efficient methods for screening populations for undiagnosed atrial fibrillation (AF) are needed to reduce its associated mortality, morbidity, and costs. The use of digital technologies, including wearable sensors and large health record data sets allowing for targeted outreach toward individuals at increased risk for AF, might allow for unprecedented opportunities for effective, economical screening. The trial's primary objective is to determine, in a real-world setting, whether using wearable sensors in a risk-targeted screening population can diagnose asymptomatic AF more effectively than routine care. Additional key objectives include (1) exploring 2 rhythm-monitoring strategies-electrocardiogram-based and exploratory pulse wave-based-for detection of new AF, and (2) comparing long-term clinical and resource outcomes among groups. In all, 2,100 Aetna members will be randomized 1:1 to either immediate or delayed monitoring, in which a wearable patch will capture a single-lead electrocardiogram during the first and last 2 weeks of a 4-month period beginning immediately or 4 months after enrollment, respectively. An observational, risk factor-matched control group (n = 4,000) will be developed from members who did not receive an invitation to participate. The primary end point is the incidence of new AF in the immediate- vs delayed-monitoring arms at the end of the 4-month monitoring period. Additional efficacy and safety end points will be captured at 1 and 3 years. The results of this digital medicine trial might benefit a substantial proportion of the population by helping identify and refine screening methods for undiagnosed AF.

Early Streptococcus pneumoniae serotype changes in Utah adults after the introduction of PCV13 in children.

INTRODUCTION: Pneumococcal conjugate vaccines (PCV) have indirect effects due to decreased Streptococcus pneumoniae colonization in vaccine recipients. We sought to determine whether the introduction of PCV13 in children led to changes in the epidemiology and clinical manifestations of invasive pneumococcal disease (IPD) in adults. METHODS: We described demographics, comorbidities, clinical manifestations, and serotypes of IPD in Utah adults before (November 2009-February 2010) and after (March 2010-March 2012) the introduction of PCV13 in children. We also compare serotypes causing IPD in Utah adults and children. RESULTS: After the introduction of PCV13 in the childhood vaccine program, the proportion of IPD due to PCV13 exclusive serotypes decreased significantly in Utah adults (64-40%, p=0.009), primarily due to a decline in serotype 7F (36-15%, p=0.008). There were non-significant increases in IPD due to Pneumococcal polysaccharide 23 (PPV23) unique serotypes and non-vaccine serotypes, most notably serotype 22F. Changes in the proportions of vaccine and non-vaccine serotypes were similar in adults and children. Meningitis was more commonly due to non-vaccine serotypes relative to non-meningitis cases (47% vs. 18%, p=0.007). When stratified by sex, decreases in PCV13 serotype IPD were only noted in men (76-33%, p=0.001). CONCLUSIONS: Serotype epidemiology of IPD in adults closely follows that of children in the PCV13 era. Continued surveillance is needed to confirm whether replacement serotypes will lead to increases in pneumococcal meningitis and whether there are sex differences in the indirect effects of PCV vaccination in children.

Streptococcus pneumoniae serotypes in Utah adults at the end of the PCV7 era.

While heptavalent pneumococcal conjugate vaccine (PCV) has decreased vaccine type invasive pneumococcal disease (IPD) nationwide, rapid serotype replacement and increasing parapneumonic empyema, has been reported in Utah children. The effect of pediatric vaccination on adults in this population is unknown. We identified 117 adults with IPD from the Intermountain Healthcare Central Laboratory between November 2009 and October 2010. We serotyped 61 (52%) stored isolates. We compared the serotype distribution of adult IPD isolates with that of pediatric isolates collected in 2009-2010. PCV7 serotypes were rare in adults (3%) and children (3%). Emerging 13-valent PCV serotypes 3, 7F, and 19A caused the majority of IPD in adults (63%) and children (56%). Fifty-one (84%) adult isolates were serotypes included in 23-valent polysaccharide vaccine and 66% in PCV13. Adult and pediatric IPD serotypes are closely associated in Utah. PCV13 vaccination in Utah children is likely to significantly impact IPD in Utah adults.

Trauma patient hospital-associated infections: risks and outcomes.

BACKGROUND: Trauma patients with surgical procedures, acute lung injury (ALI), systemic inflammatory response syndrome (SIRS), and longer exposure to invasive devices may be at increased risk for hospital-associated infection (HAI). HAIs have been shown to affect outcome measures, but the extent is not well studied. METHODS: An infection control team identified HAIs in trauma patients from 1996 through 2001. The authors evaluated the relation of HAI to surgical procedures, ALI, SIRS, and device exposure time by comparing groups with and without HAI using Fisher's exact and Mann-Whitney tests. Using multiple linear and logistic regressions, the authors evaluated associations of HAI, age, and Injury Severity Score (ISS) with length of stay (LOS), cost of care, and mortality. They used Cox proportional hazard regression to further explore the relations of HAI, age, and ISS to LOS. RESULTS: In 501 of 5,537 trauma patients with HAI (9.1%), the percent having surgical procedures, ALI, and SIRS was significantly higher (p < 0.001). Exposure to all devices studied was significantly longer (p < 0.001) in HAI patients. When the population was controlled for age and ISS, HAI patients had longer lengths of stay (LOSs) and higher costs. Age had less effect than ISS on LOS, and the effect of increases in age was greater as ISS increased. ISS had a greater effect than HAIs on LOS. HAIs increased LOS more in patients less severely injured. When comparing patients with and without HAI, no difference in mortality rates was detected. CONCLUSION: In this study of trauma patients, ISS had the greatest effect on LOS, but increased age and presence of HAI did increase LOS and cost of care. HAI increased LOS more in the less severely injured patients.