Tracking activities and adaptations in a multi-site stepped wedge pragmatic trial of a cancer symptom management intervention.

Background: Pragmatic trials may need to adapt interventions to enhance local fit, and adaptation tracking is critical to evaluation. This study describes the tracking approach for a multisite, stepped-wedge hybrid pragmatic trial testing implementation and effectiveness of a cancer symptom management intervention. Methods: Study activities were documented in a spreadsheet by date and category. Intervention adaptations were tracked across multiple workgroups in a database structured around the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) domains, e.g., reasons for change. Implementation strategies were tracked longitudinally and by cluster in a database using the Longitudinal Implementation Strategy Tracking System (LISTS) method. A logic model was created at the end of the study to describe core intervention components and implementation strategies with dates of adaptations. Results: Between January 2019 and January 2023, 187 study activities were documented. Most intervention activities took place early, but there were important intervention refinements during the course of the trial, including the expansion of interventionist roles to add two new disciplines. Eleven intervention adaptations were documented. Most were unplanned and aimed at improving fit or increasing engagement. Thirty-three implementation strategies were documented, the largest number of which were related to educating stakeholders. Most (but not all) component and strategy additions were consistent with the mechanisms of change as hypothesized at trial launch. Conclusions: A multifaceted approach to adaptation tracking, combined with a logic model, supported identification of meaningful changes for use in evaluation, but further work is needed to minimize burden and ensure robust and practical systems that inform both evaluation and timely decision-making. Trial: Registration: ClinicalTrials.gov, NCT03892967. Registered on March 25, 2019. https://www.clinicaltrials.gov/.

Research Bronchoscopies in Critically Ill Research Participants: An Official American Thoracic Society Workshop Report.

Bronchoscopy for research purposes is a valuable tool to understand lung-specific biology in human participants. Despite published reports and active research protocols using this procedure in critically ill patients, no recent document encapsulates the important safety considerations and downstream applications of this procedure in this setting. The objectives were to identify safe practices for patient selection and protection of hospital staff, provide recommendations for sample procurement to standardize studies, and give guidance on sample preparation for novel research technologies. Seventeen international experts in the management of critically ill patients, bronchoscopy in clinical and research settings, and experience in patient-oriented clinical or translational research convened for a workshop. Review of relevant literature, expert presentations, and discussion generated the findings presented herein. The committee concludes that research bronchoscopy with bronchoalveolar lavage in critically ill patients on mechanical ventilation is valuable and safe in appropriately selected patients. This report includes recommendations on standardization of this procedure and prioritizes the reporting of sample management to produce more reproducible results between laboratories. This document serves as a resource to the community of researchers who endeavor to include bronchoscopy as part of their research protocols and highlights key considerations for the inclusion and safety of research participants.

Developing & integrating a mobile application tool into a survivorship clinic for esophageal cancer patients.

Esophageal cancer (EC) patients are living longer due to enhanced screening and novel therapeutics, however, the post-esophagectomy long-term management remains challenging for patients, caregivers, and providers. Patients experience significant morbidity and have difficulty managing symptoms. Providers struggle to manage symptoms, affecting patients' quality of life and complicating care coordination between surgical teams and primary care providers. To address these patient unique needs and create a standardized method for evaluating patient reported long-term outcomes after esophagectomy for EC, our team developed the Upper Digestive Disease Assessment tool, which evolved to become a mobile application. This mobile application is designed to monitor symptom burden, direct assessment, and quantify data for patient outcome analysis after foregut (upper digestive) surgery, including esophagectomy. It is available to the public and enables virtual and remote access to survivorship care. Patients using the Upper Digestive Disease Application (UDD App) must consent to enroll, agree to terms of use, and acknowledge use of health-related information prior to gaining access to the UDD App. The results of patients scores can be utilized for triage and assessment. Care pathways can guide management of severe symptoms in a scalable and standardized method. Here we describe the history, process, and methodology for developing a patient-centric remote monitoring program to improve survivorship after EC. Programs like this that facilitate patient-centered survivorship should be an integral part of comprehensive cancer patient care.

Agreement Between Upper Digestive Disease App and Provider Evaluation of Esophagectomy Symptoms in a Mobile App Tool.

BACKGROUND: The objective of this study was to assess the criterion validity of score thresholds for the Upper Digestive Disease (UDD) App. METHODS: From December 15, 2017, to December 15, 2020, patients presenting after esophagectomy were offered the UDD App concurrent with a provider visit. This tool consists of 67 questions including 5 novel domains. Score thresholds were used to assign patients to a good, moderate, or poor category on the basis of domain scores. Providers were given performance descriptions for each domain and asked to assign patients to a category on the basis of their clinical evaluation. The weighted κ statistic was used to determine the magnitude of agreement between classifications based on the patients' UDD App scores and the providers' clinical evaluation. RESULTS: Fifty-nine patients in the study (76% male; median age, 63 years [interquartile range, 57-72 years]) reported outcomes using the UDD App. Providers reviewed between 1 and 10 patients at a median time of 296.5 days (interquartile range, 50-975 days) after esophagectomy. The magnitude of agreement between patients and providers was moderate for dysphagia (κ = 0.52; P < .001) and reflux (κ = 0.42; P < .001). Dumping-related hypoglycemia (κ = 0.03; P = .148), gastrointestinal complaints (κ = 0.02; P = .256), and pain (κ = 0.05; P < .184) showed minimal agreement, with providers underestimating the symptoms and problems reported by patients in these domains. CONCLUSIONS: Although there was agreement between UDD App assessment and provider evaluation of dysphagia and reflux after esophagectomy, there was discordance of scoring for dumping-related symptoms and pain. Future research is needed to determine whether thresholds for pain and dumping domains need to be revised or whether additional provider education on performance descriptions is needed.

Upper Digestive Disease App for Electronic Patient-Reported Outcomes: A Mixed Methods Pilot Study.

BACKGROUND: Patient-reported outcomes (PROs) can enable communication of symptoms, function, and quality of life. Mobile devices capture PROs electronically (ePRO). The purpose of this study was to determine the feasibility and acceptability of collecting ePROs in esophagectomy patients using the upper digestive disease application (UDD App). METHODS: A single-group, mixed methods design was used to address the study purposes. A convenience sample of esophagectomy patients was recruited after resumption of an oral diet from January 2020 to December 2020. Demographic characteristics (age, sex) and clinical data (surgical procedure) were obtained after informed consent. Participants used the UDD App for 1 year, followed by scripted telephone interviews. Descriptive statistics and thematic analyses of the interviews were the primary data analyses. RESULTS: Sixty-four patients were enrolled (80% male; 62.9 ± 12 years old). Of these, 50 patients initiated 108 evaluations through the UDD app, with 98% completing the questionnaire on the first attempt, indicating feasibility. A subset of 32 patients participated in the scripted telephone interview. Participants (74%) reported high computer literacy; all reported that using the UDD App was easier than or equivalent to a paper form. Interview themes revealed value of the app for identifying problems and enhanced communication with providers and caregivers, with an overall appreciation for the convenience of remote monitoring but concerns about data privacy. CONCLUSIONS: The UDD App is feasible and acceptable for collecting ePROs in esophagectomy patients. Future work will determine whether the UDD App improves symptoms, function, and quality of life.

Receptivity to a Nurse-Led Symptom Management Intervention Among Highly Symptomatic Patients With Cancer.

BACKGROUND: The symptom burden associated with cancer and its treatment can negatively affect patients' quality of life and survival. Symptom-focused collaborative care model (CCM) interventions can improve outcomes, but only if patients engage with them. We assessed the receptivity of severely symptomatic oncology patients to a remote nurse-led CCM intervention. METHODS: In a pragmatic, cluster-randomized, stepped-wedge trial conducted as part of the National Cancer Institute IMPACT Consortium (E2C2, NCT03892967), patients receiving cancer care were asked to rate their sleep disturbance, pain, anxiety, emotional distress, fatigue, and limitations in physical function. Patients reporting at least 1 severe symptom (≥7/10) were offered phone consultation with a nurse symptom care manager (RN SCM). Initially, patients had to "opt-in" to receive a call, but the protocol was later modified so they had to "opt-out" if they did not want a call. We assessed the impact of opt-in vs opt-out framing and patient characteristics on receptiveness to RN SCM calls. All statistical tests were 2-sided. RESULTS: Of the 1204 symptom assessments (from 864 patients) on which at least 1 severe symptom was documented, 469 (39.0%) indicated receptivity to an RN SCM phone call. The opt-out period (odds ratio [OR] = 1.61, 95% confidence interval [CI] = 1.12 to 2.32, P = .01), receiving care at a tertiary care center (OR = 3.59, 95% CI = 2.18 to 5.91, P < .001), and having severe pain (OR = 1.80, 95% CI = 1.24 to 2.62, P = .002) were associated with statistically significantly greater willingness to receive a call. CONCLUSIONS: Many severely symptomatic patients were not receptive to an RN SCM phone call. Better understanding of reasons for refusal and strategies for improving patient receptivity are needed.

Iterative development and pilot testing of an intervention fidelity monitoring plan for the enhanced, electronic health record-facilitated pragmatic clinical trial: Implications for training and protocol integrity.

Fidelity monitoring is the degree to which a clinical trial intervention is implemented as intended by a research protocol. Consistent implementation of research protocols supported with extant fidelity monitoring plans contribute rigor and validity of study results. Fidelity monitoring plans should be comprehensive yet practical to accommodate the realities of conducting research, particularly a pragmatic clinical trial, in dynamic settings with heterogeneous patient populations. The purposes of this paper are to describe the (1) iterative development and implementation of protocols for intervention fidelity monitoring, (2) pilot testing of the fidelity monitoring plan, (3) the identification of interventionist training deficiencies, and (4) opportunities to enhance protocol rigor for a cancer symptom management intervention delivered through the electronic health record patient portal and telephone as part of a complex, multi-component pragmatic clinical trial to uncover training deficits and bolster protocol integrity. The intervention focuses on prominent symptoms reported among medical oncology patients including sleep disturbance, pain, anxiety, depression, low energy (fatigue) and physical function. In this pragmatic trial, the role of interventionist is a registered nurse symptom care manager (RN SCM). A three-part fidelity monitoring plan with checklists audit: Part-1 RN SCM role training activities in research components, clinical training components, and protocol simulation training; Part-2 RN SCM adherence to the intervention core components delivered over the telephone; and Part-3 maintenance of adherence to core intervention components. The goal is ≥ 80% adherence to components of each of the three checklists. An initial pilot test of the fidelity monitoring plan was conducted to evaluate the checklists and the RN SCM adherence to core protocol components. RN SCM skills and training deficits were identified during the pilot phase, as were opportunities to improve protocol integrity. Overall, approximately 50% of the audited RN SCM telephone calls had ≥80% fidelity to the core components. There remains on-going need for RN SCM training and skill building in action planning. The content presented in this paper is intended to begin to fill the gap of fidelity monitoring plans for complex interventions tested in pragmatic clinical trials and delivered remotely in an effort to strengthen protocol integrity.

Description of Pharmacogenomic Testing Among Patients Admitted to the Intensive Care Unit After Cardiovascular Surgery.

BACKGROUND: Pharmacogenomic (PGx) testing has the potential to provide information on specific drug-metabolizing enzymes that may lead to an absence, reduction, or increase in medication effect in patients. There is a paucity of prospective studies examining PGx testing in the intensive care unit (ICU) setting. RESEARCH AIMS: To (1) obtain a PGx panel in a sample of cardiovascular (CV) surgical patients with a planned ICU stay and identify phenotypes, and (2) identify PGx variants that may inform treatment regimens and may warrant prescribing adjustments. DESIGN AND METHODS: Descriptive, single cohort cross-sectional design. Adult (≥18 years) CV patients with an anticipated postoperative ICU stay were enrolled from a large Midwestern tertiary academic medical center. Eligible patients provided informed consent at the time of their CV clinic appointment; PGx testing was then ordered. Pharmacogenomic testing consisted of the Focused Pharmacogenomics panel which included 10 genes and 55 medications. RESULTS: Of the 272 patients screened, 100 (68% male) patients completed PGx testing (mean age 66.2 ± 9.6 years, mean Acute Physiology, Age and Chronic Health Evaluation III score 76.1 ± standard deviation). Pharmacogenomic results were available in the medical record within a median of 52.4 hours (interquartile range: 33.4-80.3). Pharmacogenomic testing results identified 5 CYP2C19 poor metabolizers, 26 CYP2C19 rapid metabolizers, 5 CYP2C19 ultrarapid metabolizers, 6 CYP2D6 poor metabolizers, 5 CYP2D6 poor to intermediate metabolizers, and 2 CYP2D6 rapid metabolizers identified. Overall, 98% of patients had actionable or potentially actionable PGx results, including 82% for warfarin, 65% for propafenone, 65% for tramadol, 46% for oxycodone, 45% for metoprolol, 33% for clopidogrel, 32% for proton pump inhibitors, 25% for statins, and 12% for haloperidol. CONCLUSIONS: A significant portion of patients had identified genetic variants that may warrant changes in medication management during and after CV-ICU stay. It remains to be seen if PGx testing leads to improvements in ICU patient outcomes.

Pragmatic cluster randomized trial to evaluate effectiveness and implementation of enhanced EHR-facilitated cancer symptom control (E2C2).

BACKGROUND: The prevalence of inadequate symptom control among cancer patients is quite high despite the availability of definitive care guidelines and accurate and efficient assessment tools. METHODS: We will conduct a hybrid type 2 stepped wedge pragmatic cluster randomized clinical trial to evaluate a guideline-informed enhanced, electronic health record (EHR)-facilitated cancer symptom control (E2C2) care model. Teams of clinicians at five hospitals that care for patients with various cancers will be randomly assigned in steps to the E2C2 intervention. The E2C2 intervention will have two levels of care: level 1 will offer low-touch, automated self-management support for patients reporting moderate sleep disturbance, pain, anxiety, depression, and energy deficit symptoms or limitations in physical function (or both). Level 2 will offer nurse-managed collaborative care for patients reporting more intense (severe) symptoms or functional limitations (or both). By surveying and interviewing clinical staff, we will also evaluate whether the use of a multifaceted, evidence-based implementation strategy to support adoption and use of the E2C2 technologies improves patient and clinical outcomes. Finally, we will conduct a mixed methods evaluation to identify disparities in the adoption and implementation of the E2C2 intervention among elderly and rural-dwelling patients with cancer. DISCUSSION: The E2C2 intervention offers a pragmatic, scalable approach to delivering guideline-based symptom and function management for cancer patients. Since discrete EHR-imbedded algorithms drive defining aspects of the intervention, the approach can be efficiently disseminated and updated by specifying and modifying these centralized EHR algorithms. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03892967. Registered on 25 March 2019.

Patient Activation Among Community-Dwelling Persons Living With Chronic Obstructive Pulmonary Disease.

BACKGROUND: Vigilant self-management is associated with positive health outcomes in people living with chronic obstructive pulmonary disease (COPD), yet the predictors of activated self-managers are not well understood. OBJECTIVES: The aims of the study were to identify and describe the predictors of patient activation among a sample of community-dwelling adults with COPD in the United States. METHODS: A postal survey of demographic, mood, symptom, function, health perception, life quality measures, and the patient activation measure was completed by 64 participants. Descriptive and inferential statistics were used to examine and describe associations between personal characteristics, health outcomes, and patient activation measure scores (0-100). Multivariate, linear regression analysis was conducted to identify predictors of patient activation score. RESULTS: Patient activation was high among the sample. Multivariate analysis revealed positive affect, smoking pack-years, overall quality of life, and female gender collectively explained 45.4% of the variance in patient activation. DISCUSSION: Positive life view, gender, and lifestyle factors present novel predictors of high activation in self-managers of COPD that warrant explication through future research.