Health System Approach to Improve Chronic Obstructive Pulmonary Disease Care after Hospital Discharge: Stepped-Wedge Clinical Trial.

Rationale: Patients discharged from the hospital for chronic obstructive pulmonary disease (COPD) exacerbation have impaired quality of life and frequent readmission and death. Clinical trials to reduce readmission demonstrate inconsistent results, including some demonstrating potential harms. Objectives: We tested whether a pragmatic proactive interdisciplinary and virtual review of patients discharged after hospitalization for COPD exacerbation would improve quality of life, using the Clinical COPD Questionnaire, and reduce all-cause 180-day readmission and/or mortality. Methods: We performed a stepped-wedge clinical trial. We enrolled primary care providers and their patients after hospital discharge for COPD at two Department of Veterans Affairs medical centers and 10 outpatient clinics. A multidisciplinary team reviewed health records and developed treatment recommendations delivered to primary care providers via E-consult. We facilitated uptake by entering recommendations as unsigned orders that could be accepted, modified, or canceled. Providers and patients made all final treatment decisions. Measurements and Main Results: We enrolled 365 primary care providers. Over a 30-month period, 352 patients met eligibility criteria, with 191 (54.3%) patients participating in the control and 161 (45.7%) in the intervention. The intervention led to clinically significant better Clinical COPD Questionnaire scores (-0.47; 95% confidence interval [CI], -0.85 to -0.09; 52.6% missing) but did not reduce 180-day readmission and/or mortality (adjusted odds ratio, 0.83; 95% CI, 0.49 to 1.38), in part because of wide CIs. Among the 161 patients in the intervention group, we entered 519 recommendations as unsigned orders, of which 401 (77.3%) were endorsed. Conclusions: A pragmatic health system-level intervention that delivered proactive specialty supported care improved quality of life but did not reduce 180-day readmission or death. Clinical trial registered with www.clinicaltrials.gov (NCT02021955).

Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work.

Using traces of behaviors to predict outcomes is useful in varied contexts ranging from buyer behaviors to behaviors collected from smart-home devices. Increasingly, higher education systems have been using Learning Management System (LMS) digital data to capture and understand students' learning and well-being. Researchers in the social sciences are increasingly interested in the potential of using digital log data to predict outcomes and design interventions. Using LMS data for predicting the likelihood of students' success in for-credit college courses provides a useful example of how social scientists can use these techniques on a variety of data types. Here, we provide a primer on how LMS data can be feature-mapped and analyzed to accomplish these goals. We begin with a literature review summarizing current approaches to analyzing LMS data, then discuss ethical issues of privacy when using demographic data and equitable model building. In the second part of the paper, we provide an overview of popular machine learning algorithms and review analytic considerations such as feature generation, assessment of model performance, and sampling techniques. Finally, we conclude with an empirical example demonstrating the ability of LMS data to predict student success, summarizing important features and assessing model performance across different model specifications.

Effect of a Remotely Delivered Self-directed Behavioral Intervention on Body Weight and Physical Health Status Among Adults With Obesity: The D-ELITE Randomized Clinical Trial.

Importance: The effectiveness of remotely delivered, self-directed, weight loss programs in routine clinical practice is largely unknown. Objective: To test whether a self-directed, remotely administered behavioral lifestyle intervention improves weight and self-reported general health status compared with usual care. Design, Setting, and Participants: In this randomized clinical trial, 511 adults with a body mass index (BMI) of 30 or more and less than 45 (based on electronic health record [EHR] weight and height), were enrolled from 30 Veterans Health Administration (VHA) sites between February 15, 2018, and December 18, 2018 (final follow-up February 18, 2021). Interventions: Participants were randomly assigned to the intervention group (n = 254) or the control group (n = 257). Both received usual care. Participants randomized to the intervention received Diabetes Prevention Program-based self-directed videos, handouts, and coaching messages via an online platform or US mail for 12 months. Main Outcomes and Measures: Coprimary outcomes were weight measured in primary care and recorded in the EHR and self-reported general health status using the Medical Outcomes Study 12-Item Short Form Health Survey (SF-12) physical component score (PCS; higher scores are better [range, 0-100]) at the 12-month follow-up. The between-group minimal clinically important differences are 3 kg for weight and 5 points for the SF-12 PCS. Linear mixed models used weights and SF-12 PCS measured at either time point, with participants analyzed according to randomization assignment. Statistical significance for each coprimary outcome was based on a 2-sided α level of .025. Results: Among 511 participants randomized (mean age, 57.4 [SD, 13.9] years; 231 female [45%]), 429 (84.0%) had EHR-based weights and 410 (80.2%) had SF-12 PCS data at 12 months. The unadjusted mean weight at 12 months declined from 102.7 kg to 99.8 kg in the intervention group compared with 101.9 kg to 101.0 kg in the control group (adjusted between-group mean difference, -1.93 [97.5% CI, -3.24 to -0.61]; P = .001). At 12 months, the unadjusted mean SF-12 PCS scores declined from 44.8 to 44.3 among intervention participants compared with 44.5 to 43.2 among control participants (adjusted between-group mean difference, intervention minus control, 0.69 [97.5% CI, -1.11 to 2.49]; P = .39). Cardiovascular events represented the highest percentage of serious adverse events, accounting for 25% of events in the intervention group and 35% in the control group. Conclusions and Relevance: Among adults with obesity, a remotely delivered self-directed, behavioral lifestyle intervention, compared with usual care, resulted in statistically significantly greater weight loss at 12 months, although the difference was not clinically important. There was no significant difference in self-reported general physical health status at 12 months. Trial Registration: ClinicalTrials.gov Identifier: NCT03260140.

Inhaler Formulary Change in COPD and the Association with Exacerbations, Health Care Utilization, and Costs.

Rationale: Prescription formularies specify which medications are available to patients. Formularies change frequently, potentially forcing patients to switch medications for nonclinical indications (nonmedical switching). Nonmedical switching is known to impact disease control and adherence. The consequences of nonmedical switching have not been rigorously studied in COPD. Methods: We conducted a cohort study of Veterans with COPD on inhaler therapy in January 2016 when formoterol was removed from the Department of Veterans Affairs (VA) national formulary. A 2-point difference-in-differences analysis using multivariable negative binomial and generalized linear models was performed to estimate the association of the formulary change with patient outcomes in the 6 months before and after the change. Our primary outcome was the number of COPD exacerbations in 6 months, with secondary outcomes of total health care encounters and encounter-related costs in 6 months. Results: We identified 10,606 Veterans who met our inclusion criteria, of which 409 (3.9%) experienced nonmedical switching off formoterol. We did not identify a change in COPD exacerbations (-0.04 exacerbations; 95% confidence interval [CI] -0.12, 0.03) associated with the formulary change. In secondary outcome analysis, we did not observe a change in the number of health care encounters (-0.12 visits; 95% CI -1.00, 0.77) or encounter-related costs ($369; 95% CI -$1141, $1878). Conclusions: Among COPD patients on single inhaler therapy, nonmedical inhaler switches due to formulary discontinuation of formoterol were not associated with changes in COPD exacerbations, encounters, or encounter-related costs. Additional research is needed to confirm our findings in more severe disease and other settings.

Risks of Zolpidem among Patients with Chronic Obstructive Pulmonary Disease.

Rationale: Nonbenzodiazepine benzodiazepine receptor agonists (NBZRA, e.g., zolpidem) are frequently used to treat insomnia among patients with chronic obstructive pulmonary disease (COPD). However, multiple observational studies find that patients with COPD who are prescribed NBZRAs have greater risks for mortality and respiratory complications than patients without such prescriptions. Without an active comparator, these studies are susceptible to confounding by indication. Objectives: Compare the risk of death or inpatient COPD exacerbation among patients receiving zolpidem relative to patients receiving other hypnotics. Methods: Using nationwide Veterans Health Administration (VA) data, we identified patients with clinically diagnosed COPD and new receipt of zolpidem or another hypnotic available on VA formulary without prior authorization (melatonin, trazodone, doxepin). We excluded those receiving traditional benzodiazepines or multiple concurrent hypnotics. We propensity-matched patients receiving zolpidem to other hypnotics on 32 variables, including demographics, comorbidities, and markers of COPD severity. We compared risk of the primary composite outcome of death or inpatient COPD exacerbation over 1 year. In secondary analyses, we propensity-matched patients receiving zolpidem to those without hypnotic receipt. Results: Among 283,740 patients meeting inclusion criteria, 1,126 (0.4%) received zolpidem and 3,057 (1.1%) received other hypnotics. We propensity-matched patients receiving zolpidem 1:1 to peers receiving other hypnotics. We did not find a difference in the primary composite outcome of death or inpatient exacerbation (hazard ratio, 0.97; 95% confidence interval [CI], 0.77-1.23). In secondary analyses comparing patients receiving zolpidem to matched peers without hypnotic receipt, we observed greater risk of death or inpatient exacerbation with zolpidem (hazard ratio, 1.40; 95% CI, 1.09-1.81). Conclusions: Among patients with COPD, we did not observe greater risks after new receipt of zolpidem relative to other hypnotics. However, we did observe greater risks relative to those without hypnotic receipt. This latter finding may reflect: 1) residual, unmeasured confounding related to insomnia; or 2) true adverse effects of hypnotics across classes. Future work is needed to better understand the risks of hypnotics in COPD.

The Impact of Changing Race-Specific Equations for Lung Function Tests among Veterans with COPD.

RATIONALE: The American Thoracic Society recommended a single reference equation for spirometry but the impact to patients is not known. OBJECTIVE: To estimate the effect of changing to a single reference equation among Veterans with chronic obstructive pulmonary disease (COPD). METHODS: Cross-sectional study including Veterans aged ≥40 to ≤89 years with COPD and spirometry results from 21 facilities between 2010 - 2019. We collected race/ethnicity data from the electronic health record. We estimated the percentage change in the number of Veterans with lung function meeting clinical thresholds used to determine eligibility for lung resection for cancer, lung volume reduction surgery (LVRS), and lung transplant referral. We estimated the change for each level of VA service connection and financial impact. RESULTS: We identified 44,892 Veterans; Asian (0.5%), Black (11.8%), White (80.8%), and Hispanic (1.8%). When changing to a single reference equation, Asian and Black Veterans had reduced predicted lung function that could result in less surgical lung resection (4.4% and 11.1% respectively), while increasing LVRS (1.7% and 3.8%), and lung transplant evaluation for Black Veterans (1.2%). White Veterans had increased predicted lung function and could experience increased lung resection (8.1%), with less LVRS (3.3%), and lung transplant evaluation (0.9%). Some Asian and Black Veterans could experience an increase in monthly disability payments (+$540.38 and $398.38), while Hispanic White and White Veterans could see a decrease (-$588.79). When aggregated, Hispanic Veterans experienced changes attributable to their racial identity, and because this sample was predominantly Hispanic White, had similar results to White Veterans. CONCLUSIONS: Changing the reference equation could affect access to treatment and disability benefits, depending on race. If adopted, the use of discrete clinical thresholds needs to be reassessed, considering patient-centered outcomes.

Trends and Rural-Urban Differences in the Initial Prescription of Low-Value Inhaled Corticosteroids among U.S. Veterans with Chronic Obstructive Pulmonary Disease.

Rationale: Guidelines recommend inhaled corticosteroids (ICS) for patients with chronic obstructive pulmonary disease (COPD) and select indications, including asthma history, high exacerbation risk, or high serum eosinophils. ICS are commonly prescribed outside of these indications, despite evidence of harm. We defined a "low-value" ICS prescription as the receipt of an ICS without evidence of a guideline-recommended indication. ICS prescription patterns are not well characterized and could inform health system interventions to reduce low-value practices. Objectives: To evaluate the national trends in initial low-value ICS prescriptions in the U.S. Department of Veterans Affairs and to determine whether rural-urban differences in low-value ICS prescribing exist. Methods: We performed a cross-sectional study between January 4, 2010, and December 31, 2018, identifying veterans with COPD who were new users of inhaler therapy. We defined low-value ICS as prescriptions in patients with 1) no asthma, 2) low risk of future exacerbation (Global Initiative for Chronic Obstructive Lung Disease group A or B), and 3) serum eosinophils <300 cells/µl. We performed multivariable logistic regression to evaluate trends in low-value ICS prescription over time, adjusting for potential confounders. We performed fixed effects logistic regression to assess rural-urban prescribing patterns. Results: We identified a total of 131,009 veterans with COPD starting inhaler therapy, 57,472 (44%) of whom were prescribed low-value ICS as initial therapy. From 2010 to 2018, the probability of receiving low-value ICS as initial therapy increased by 0.42 percentage points per year (95% confidence interval, 0.31-0.53). Compared with urban residence, rural residence was associated with a 2.5-percentage-point (95% confidence interval, 1.9-3.1) higher probability of receiving low-value ICS as initial therapy. Conclusions: The prescription of low-value ICS as initial therapy is common and increasing slightly over time for both rural and urban veterans. Given the widespread and persistent nature of low-value ICS prescribing, health system leaders should consider system-wide approaches to address this low-value prescribing practice.

Sleep Testing and Mortality in a Propensity-matched Cohort of Patients with Chronic Obstructive Pulmonary Disease.

Rationale: Many advocate the application of propensity-matching methods to real-world data to answer key questions around obstructive sleep apnea (OSA) management. One such question is whether identifying undiagnosed OSA impacts mortality in high-risk populations, such as those with chronic obstructive pulmonary disease (COPD). Objectives: Assess the association of sleep testing with mortality among patients with COPD and a high likelihood of undiagnosed OSA. Methods: We identified patients with COPD and a high likelihood of undiagnosed OSA. We then distinguished those receiving sleep testing within 90 days of index COPD encounters. We calculated propensity scores for testing based on 37 variables and compared long-term mortality in matched groups. In sensitivity analyses, we compared mortality using inverse propensity weighting and instrumental variable methods. We also compared the incidence of nonfatal events including adverse outcomes (hospitalizations and COPD exacerbations) and routine services that are regularly indicated in COPD (influenza vaccination and pulmonary function testing). We compared the incidence of each nonfatal event as a composite outcome with death and separately compared the marginal probability of each nonfatal event independently, with death as a competing risk. Results: Among 135,958 patients, 1,957 (1.4%) received sleep testing. We propensity matched all patients with sleep testing to an equal number without testing, achieving excellent balance on observed confounders, with standardized differences < 0.10. We observed lower mortality risk among patients with sleep testing (incidence rate ratio, 0.88; 95% confidence interval [CI], 0.79-0.99) and similar results using inverse propensity weighting and instrumental variable methods. Contrary to mortality, we found that sleep testing was associated with a similar or greater risk for nonfatal adverse events, including inpatient COPD exacerbations (subhazard ratio, 1.29; 95% CI, 1.02-1.62) and routine services like influenza vaccination (subhazard ratio, 1.26; 95% CI, 1.17-1.36). Conclusions: Our disparate findings can be interpreted in multiple ways. Sleep testing may indeed cause both reduced mortality and greater incidence of nonfatal adverse outcomes and routine services. However, it is also possible that our findings stem from residual confounding by patients' likelihood of accessing care. Given the limitations of propensity-based analyses, we cannot confidently distinguish these two possibilities. This uncertainty highlights the limitations of using propensity-based analyses to guide patient care and policy decisions.

Protocol for a pragmatic trial testing a self-directed lifestyle program targeting weight loss among patients with obstructive sleep apnea (POWER Trial).

BACKGROUND: Obesity comprises the single greatest reversible risk factor for obstructive sleep apnea (OSA). Despite the potential of lifestyle-based weight loss services to improve OSA severity and symptoms, these programs have limited reach. POWER is a pragmatic trial of a remote self-directed weight loss care among patients with OSA. METHODS: POWER randomizes 696 patients with obesity (BMI 30-45 kg/m2) and recent diagnosis or re-confirmation of OSA 1:1 to either a self-directed weight loss intervention or usual care. POWER tests whether such an intervention improves co-primary outcomes of weight and sleep-related quality of life at 12 months. Secondary outcomes include sleep symptoms, global ratings of change, and cardiovascular risk scores. Finally, consistent with a hybrid type 1 approach, the trial embeds an implementation process evaluation. We will use quantitative and qualitative methods including budget impact analyses and qualitative interviews to assess barriers to implementation. CONCLUSIONS: The results of POWER will inform population health approaches to the delivery of weight loss care. A remote self-directed program has the potential to be disseminated widely with limited health system resources and likely low-cost.

Lifestyle Intervention and Excess Weight in Chronic Obstructive Pulmonary Disease (COPD): INSIGHT COPD Randomized Clinical Trial.

Rationale: Being overweight or obese is common among patients with chronic obstructive pulmonary disease (COPD), but whether interventions targeted at weight loss improve functional impairments is unknown. Objectives: INSIGHT (Intervention Study in Overweight Patients with COPD) tested whether a pragmatic low-intensity lifestyle intervention would lead to better physical functional status among overweight or obese participants with COPD. Methods: The trial was a 12-month, multicenter, patient-level pragmatic clinical trial. Participants were recruited from April 2017 to August 2019 from 38 sites across the United States and randomized to receive usual care or usual care plus lifestyle intervention. The intervention was a self-directed video program delivering the Diabetes Prevention Program's Group Lifestyle Balance curriculum. Results: The primary outcome was 6-minute-walk test distance at 12 months. Priority secondary outcomes were postwalk modified Borg dyspnea at 12 months and weight at 12 months. Participants (N = 684; mean age, 67.0 ± 8.0 yr [standard deviation]; 41.2% female) on average were obese (body mass index, 33.0 ± 4.6 kg/m2) with moderate COPD (forced expiratory volume in 1 second % predicted, 58.1 ± 15.7%). At 12 months, participants randomized to the intervention arm walked farther (adjusted difference, 42.3 ft [95% confidence interval (CI), 7.9-76.7 ft]; P = 0.02), had less dyspnea at the end of the 6-minute-walk test (adjusted difference, -0.36 [95% CI, -0.63 to -0.09]; P = 0.008), and had greater weight loss (adjusted difference, -1.34 kg [95% CI, -2.33 to -0.34 kg]; P = 0.008) than control participants. The intervention did not improve the odds of achieving clinically meaningful thresholds of walk distance (98.4 ft) or dyspnea (1 unit) but did achieve meaningful thresholds of weight loss (3% and 5%). Conclusions: Among participants with COPD who were overweight or obese, a self-guided low-intensity video-based lifestyle intervention led to modest weight loss but did not lead to clinically important improvements in physical functional status and dyspnea. Clinical trial registered with www.clinicaltrials.gov (NCT02634268).

Testing a self-directed lifestyle intervention among veterans: The D-ELITE pragmatic clinical trial.

Nearly half of Veterans have obesity, fueling chronic diseases. The Department of Veterans Affairs (VA) offers an evidence-based behavioral weight management intervention called MOVE!, mostly delivered through in-person group sessions. Few eligible Veterans participate due to factors like distance and preferences, mirroring barriers in the general population. Practical alternatives to standard in-person programs are needed to improve access and engagement. A self-directed lifestyle intervention called D-ELITE-delivered through pre-recorded videos by DVD or online streaming-previously efficacious in a general primary care population, may provide such an alternative. This pragmatic clinical trial will evaluate whether D-ELITE improves weight and general health status among Veterans with obesity, relative to VA usual care. The yearlong intervention includes one orientation by phone, supplemental lifestyle coaching primarily via technology-based messages, 12 DVD or online streaming sessions over 3 months, and continued self-directed weight management for months 4-12. Participants use MyFitnessPal.com or paper booklets for self-monitoring weight, diet, and physical activity. Follow-up assessments at 12 and 24 months are administered by mail or phone. The study hypothesis is that compared with usual care, D-ELITE will lead to greater improvements in 12-month weight loss, per VA electronic health records, and general physical health status, assessed using the self-reported SF-12 physical composite score. We will also explore D-ELITE's effects on secondary biometric (e.g., HbA1c) and intermediate (e.g., diet) outcomes, reach, and budget impact. If effective, D-ELITE will offer a potentially scalable, low-cost alternative to VA's existing weight loss interventions by mitigating barriers presented by distance and technology.

The Veterans Health Administration's proposal for APRN full-practice authority.

The Veterans Health Administration (VHA) is proposing full-practice authority for advanced practice registered nurses (APRNs) to improve access, care delivery, and patient choice, as well as reduce costs. The authors performed a mixed-methods assessment to obtain the perspectives of administrators and APRNs on the characterization of the APRN workforce and their present practice in the VHA.

Using the CER Hub to ensure data quality in a multi-institution smoking cessation study.

Comparative effectiveness research (CER) studies involving multiple institutions with diverse electronic health records (EHRs) depend on high quality data. To ensure uniformity of data derived from different EHR systems and implementations, the CER Hub informatics platform developed a quality assurance (QA) process using tools and data formats available through the CER Hub. The QA process, implemented here in a study of smoking cessation services in primary care, used the 'emrAdapter' tool programmed with a set of quality checks to query large samples of primary care encounter records extracted in accord with the CER Hub common data framework. The tool, deployed to each study site, generated error reports indicating data problems to be fixed locally and aggregate data sharable with the central site for quality review. Across the CER Hub network of six health systems, data completeness and correctness issues were prevalent in the first iteration and were considerably improved after three iterations of the QA process. A common issue encountered was incomplete mapping of local EHR data values to those defined by the common data framework. A highly automated and distributed QA process helped to ensure the correctness and completeness of patient care data extracted from EHRs for a multi-institution CER study in smoking cessation.