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Pragmatic clinical trials (PCTs) are well-suited to address unmet healthcare needs, such as those arising from the dual public health crises of chronic pain and opioid misuse, recently exacerbated by the COVID-19 pandemic. These overlapping epidemics have complex, multifactorial etiologies, and PCTs can be used to investigate the effectiveness of integrated therapies that are currently available but underused. Yet individual pragmatic studies can be limited in their reach because of existing structural and cultural barriers to dissemination and implementation. The National Institutes of Health, Department of Defense, and Department of Veterans Affairs formed an interagency research partnership, the Pain Management Collaboratory. The partnership combines pragmatic trial design with collaborative tools and relationship building within a large network to advance the science and impact of nonpharmacological approaches and integrated models of care for the management of pain and common co-occurring conditions. The Pain Management Collaboratory team supports 11 large-scale, multisite PCTs in veteran and military health systems with a focus on team science with the shared aim that the "whole is greater than the sum of the parts." Herein, we describe this integrated approach and lessons learned, including incentivizing all parties; proactively offering frequent opportunities for problem-solving; engaging stakeholders during all stages of research; and navigating competing research priorities. We also articulate several specific strategies and their practical implications for advancing pain management in active clinical, "real-world," settings.

Characterizing the impacts of disruption attributable to the COVID-19 pandemic on clinical research is important, especially in pain research where psychological, social, and economic stressors attributable to the COVID-19 pandemic may greatly impact treatment effects. The National Institutes of Health - Department of Defense - Department of Veterans Affairs Pain Management Collaboratory (PMC) is a collective effort supporting 11 pragmatic clinical trials studying nonpharmacological approaches and innovative integrated care models for pain management in veteran and military health systems. The PMC rapidly developed a brief pandemic impacts measure for use across its pragmatic trials studying pain while remaining broadly applicable to other areas of clinical research. Through open discussion and consensus building by the PMC's Phenotypes and Outcomes Work Group, the PMC Coronavirus Pandemic (COVID-19) Measure was iteratively developed. The measure assesses the following domains (one item/domain): access to healthcare, social support, finances, ability to meet basic needs, and mental or emotional health. Two additional items assess infection status (personal and household) and hospitalization. The measure uses structured responses with a three-point scale for COVID-19 infection status and four-point ordinal rank response for all other domains. We recommend individualized adaptation as appropriate by clinical research teams using this measure to survey the effects of the COVID-19 pandemic on study participants. This can also help maintain utility of the measure beyond the COVID-19 pandemic to characterize impacts during future public health emergencies that may require mitigation strategies such as periods of quarantine and isolation.

Background: Most older adults hospitalized with COVID-19 survive their acute illness. The impact of COVID-19 hospitalization on patient-centered outcomes, including physical function, cognition, and symptoms, is not well understood. To address this knowledge gap, we collected longitudinal data about these issues from a cohort of older survivors of COVID-19 hospitalization. Methods: We undertook a prospective study of community-living persons age ≥ 60 years who were hospitalized with COVID-19 from June 2020–June 2021. A baseline interview was conducted during or up to 2 weeks after hospitalization. Follow-up interviews occurred at one, three, and six months postdischarge. Participants completed comprehensive assessments of physical and cognitive function, symptoms, and psychosocial factors. An abbreviated assessment could be performed with a proxy. Additional information was collected from the electronic health record. Results: Among 341 participants, the mean age was 71.4 (SD 8.4) years, 51% were women, and 37% were of Black race or Hispanic ethnicity. Median length of hospitalization was 8 (IQR 6–12) days. All but 4% of participants required supplemental oxygen, and 20% required care in an intensive care unit or stepdown unit. At enrollment, nearly half (47%) reported at least one preexisting disability in physical function, 45% demonstrated cognitive impairment, and 67% were pre-frail or frail. Participants reported a mean of 9 of 14 (SD 3) COVID-19-related symptoms. At the six-month follow-up interview, more than a third of participants experienced a decline from their pre-hospitalization function, nearly 20% had cognitive impairment, and burdensome symptoms remained highly prevalent. Conclusions: We enrolled a diverse cohort of older adults hospitalized with COVID-19 and followed them after discharge. Functional decline was common, and there were high rates of persistent cognitive impairment and symptoms. Future analyses of these data will advance our understanding of patient-centered outcomes among older COVID-19 survivors. [ABSTRACT FROM AUTHOR]

Background: After hospitalization for acute myocardial infarction (AMI), older adults may be at increased risk for falls due to deconditioning, new medications, and worsening health status. Our primary objective was to identify risk factors for falls after AMI hospitalization among adults over age 75. Methods: We used data from the Comprehensive Evaluation of Risk Factors in Older Patients with AMI (SILVER‐AMI) study, a prospective cohort study of 3041 adults age 75 and older hospitalized with AMI at 94 community and academic medical centers across the United States. In‐person interviews and physical assessments, as well as medical record review, were performed to collect demographic, clinical, functional, and psychosocial data. Falls were self‐reported in telephone interviews and medically serious falls (those associated with emergency department use or hospitalization) were determined by medical record adjudication. Backward selection was used to identify predictors of fall risk in logistic regression analysis. Results: A total of 554 (21.6%) participants reported a fall and 191 (6.4%) had a medically serious fall within 6 months of discharge. Factors independently associated with self‐reported falls included impaired mobility, prior fall history, longer hospital stay, visual impairment, and weak grip. Factors independently associated with medically serious falls included older age, polypharmacy, impaired functional mobility, prior fall history, and living alone. Conclusions: Among older patients hospitalized for AMI, falls are common in the 6 months following discharge and associated with demographic, functional, and clinical factors that are readily identifiable. Fall risk should be considered in post‐AMI clinical decision‐making and interventions to prevent falls should be evaluated. [ABSTRACT FROM AUTHOR]