Treatment-Resistant Late-Life Depression: A Review of Clinical Features, Neuropsychology, Neurobiology, and Treatment.

Major depression is common in older adults (≥ 60 years of age), termed late-life depression (LLD). Up to 30% of these patients will have treatment-resistant late-life depression (TRLLD), defined as depression that persists despite two adequate antidepressant trials. TRLLD is challenging for clinicians, given several etiological factors (eg, neurocognitive conditions, medical comorbidities, anxiety, and sleep disruption). Proper assessment and management is critical, as individuals with TRLLD often present in medical settings and suffer from cognitive decline and other marks of accelerated aging. This article serves as an evidence-based guide for medical practitioners who encounter TRLLD in their practice.

Beyond "Psychotropic": Repurposing Psychiatric Drugs for COVID-19, Alzheimer's Disease, and Cancer.

Importance: "Psychotropic" drugs have widespread reach and impact throughout the brain and body. Thus, many of these drugs could be repurposed for non-psychiatric indications of high public health impact.Observations: The selective serotonin reuptake inhibitor (SSRI) fluvoxamine was shown efficacious as a COVID-19 treatment based on randomized controlled trials (RCTs), and a benefit of other antidepressants has been posited based on observational and preclinical studies. In this review, we illuminate features of SSRIs and other psychiatric drugs that make them candidates to repurpose for non-psychiatric indications. We summarize research that led to fluvoxamine's use in COVID-19 and provide guidance on how to use it safely. We summarize studies suggestive of benefit of other antidepressants versus COVID-19 and long COVID. We also describe putative mechanisms of psychiatric drugs in treating long COVID, Alzheimer's disease, cancer, and other conditions.Conclusion and Relevance: There is a potentially great clinical and public health impact of psychotropic drug repurposing. Challenges exist to such repurposing efforts, but solutions exist for researchers, regulators, and funders that overcome these challenges.

Advances in Mind/Body Therapies: Concept, Data and Delivery

Mind/body therapies, such as yoga, mindfulness, and guided imagery, are often touted in media reports as ways to slow cognitive decline, improve brain health, and ameliorate negative psychological symptoms such as stress and depression. However, the clinical and neurobiological evidence base for these uses in older adults is limited. Moreover, many older adults, particularly during the COVID-19 pandemic, have difficulty accessing these therapies due to the in-person, group formats in which they are often delivered. A major difficulty in understanding the objective benefits of mind/body therapies for subjective cognitive and psychological symptoms is infrequent measurement during clinical trials using retrospective questionnaires. Thus, increased clinical efficacy research, neurobiological research, and methodological research to identify new ways to deliver and measure the effects of mind/body therapies is urgently needed. In this general session, three presenters will discuss recent advances in mind/body therapies, including new evidence from large-scale trials, and methodological innovations enabling remote therapy delivery and the assessment of behavioral outcomes. First, Dr. Felipe Jain will discuss smartphone delivery of mind/body therapies and new technologies that use passive smartphone sensors to enable continuous measurement of behavior. The development of digital phenotypes of psychological symptoms from these fine-grained behavioral assessments will be discussed. Dr. Jain's presentation will describe a smartphone application which delivers mind/body tools, mentalizing imagery therapy (MIT), and caregiver skills, to older adult family caregivers of persons living with dementia. His talk will elucidate simultaneous capture of usage data and passive smartphone sensor data in a subset of participants in a clinical trial using the application. Statistical methods to derive individual behavioral phenotypes for symptom tracking of psychological stress and sleep will be presented. Second, Dr. Eric Lenze will share clinical and neuroimaging results of a large trial of mindfulness-based stress reduction (MBSR) with and without exercise aimed at improving cognitive function and brain health in older adults. His talk will include clinical effects of intervention on episodic memory and executive function, and structural brain markers including hippocampal volume and dorsolateral prefrontal cortex thickness and surface area. Finally, he will focus on sensitive analyses of functional brain connectivity from before to after treatment. Finally, Dr. Helen Lavretsky will discuss the recent trends in the methodology of conducting mind-body efficacy and effectiveness trials. She will also discuss the results of a recently completed trial of Kundalini yoga for prevention of cognitive decline in women with subjective memory complaints and at risk for AD. This will also cover clinical outcomes and the role of neural and peripheral biomarkers of response. The panel discussion will outline future research directions in mind-body therapies for treatment and prevention in older adults, with a focus on diversity and inclusion of underrepresented populations.

Recruiting for a randomized clinical trial for late-life depression during COVID-19: outcomes of provider referrals vs. Facebook self-referrals

Introduction The COVID-19 pandemic caused major impediments to the conduct of clinical research. Online recruitment, a growing area of interest even before COVID-19, may provide a strategy for facilitating access to clinical research during times of public health restriction. However, little is known about the effectiveness of online recruitment in older adults with psychiatric illness. The present study aimed to investigate the effectiveness of online recruitment via self-referrals from a Facebook advertising campaign, compared with traditional recruitment via provider referrals, during the COVID-19 pandemic. Methods The study period lasted from May 2020 through January 2022. During this period, we compared the performance of traditional recruitment from provider referrals versus self-referrals from Facebook during a clinical trial of pharmacotherapy for late-life depression. First, we calculated the rate of enrolment (i.e., randomization) from each referral source (yield). Next, we compared clinical and demographic characteristics of successfully enrolled participants from each source. Finally, we analyzed correlations between public health stringency and referral volume from each source over time, using the monthly average of the Bank of Canada Stringency Index for the province of Ontario. Results Twenty-four participants enrolled during the study period, 10 from provider referrals and 14 from Facebook self-referrals. Provider referrals had a significantly higher yield (30.3%) versus Facebook self-referrals (4.3%) (p<0.00001). Participants self-referred from Facebook had significantly more formal education (16.0 versus 12.6 years, p = 0.04);otherwise, participants from both sources were similar in terms of age, gender, and ethnicity. Public health stringency was negatively correlated with provider referral volume (r=–0.32) and positively correlated with Facebook self-referral volume (r=0.39) (Figure 1), though neither association reached statistical significance. Conclusions Online recruitment is a promising avenue for improving access to clinical research in older adults with psychiatric illness, though the yield of online referrals may be lower than from traditional sources in this specialized population. We found a tendency for online recruitment to outperform traditional recruitment during times of increased public health stringency, and vice-versa, though this relationship did not reach statistical significance, possibly due to small sample sizes. When planning online recruitment campaigns, consideration must be given to the increased cost of this approach per enrolled participant;the need for a higher volume of referrals, relative to traditional methods to achieve recruitment targets;and socioeconomic barriers to computer literacy and access in this population. This research was funded by Parent study: PICORI, NIH.

Recruiting for a randomized clinical trial for late-life depression during COVID-19: outcomes of provider referrals vs. Facebook self-referrals

Objective To evaluate the effectiveness of online recruitment for a clinical trial of pharmacotherapy for late-life depression during COVID-19. Methods We calculated the yield, defined as recruitment leading to randomization (enrollment), from provider referrals versus Facebook self-referrals;compared characteristics and drop-out rates of participants from each source;and analyzed correlations between stringency of public health restrictions and referrals from each source over time. Results Provider referrals had a significantly higher yield (10 of 33 referrals;30.3%) versus Facebook self-referrals (14 of 323;4.3%) (p<0.00001). Participants self-referred from Facebook had significantly more education;otherwise, both groups had similar characteristics and drop-out rates. While public health stringency was negatively correlated with provider referrals (ρ=–0.32) and positively correlated with Facebook self-referrals (ρ=0.39), neither association reached statistical significance. Conclusions Online recruitment may improve access to clinical research for older depressed adults. Future studies should evaluate cost-effectiveness and potential barriers such as computer literacy.

SSRIs differentially modulate the effects of pro-inflammatory stimulation on hippocampal plasticity and memory via sigma 1 receptors and neurosteroids.

Certain selective serotonin reuptake inhibitors (SSRIs) have anti-inflammatory effects in preclinical models, and recent clinical studies suggest that fluvoxamine can prevent deterioration in patients with COVID-19, possibly through activating sigma 1 receptors (S1Rs). Here we examined potential mechanisms contributing to these effects of fluvoxamine and other SSRIs using a well-characterized model of pro-inflammatory stress in rat hippocampal slices. When hippocampal slices are exposed acutely to lipopolysaccharide (LPS), a strong pro-inflammatory stimulus, basal synaptic transmission in the CA1 region remains intact, but induction of long-term potentiation (LTP), a form of synaptic plasticity thought to contribute to learning and memory, is completely disrupted. Administration of low micromolar concentrations of fluvoxamine and fluoxetine prior to and during LPS administration overcame this LTP inhibition. Effects of fluvoxamine required both activation of S1Rs and local synthesis of 5-alpha reduced neurosteroids. In contrast, the effects of fluoxetine did not involve S1Rs but required neurosteroid production. The ability of fluvoxamine to modulate LTP and neurosteroid production was mimicked by a selective S1R agonist. Additionally, fluvoxamine and fluoxetine prevented learning impairments induced by LPS in vivo. Sertraline differed from the other SSRIs in blocking LTP in control slices likely via S1R inverse agonism. These results provide strong support for the hypothesis that S1Rs and neurosteroids play key roles in the anti-inflammatory effects of certain SSRIs and that these SSRIs could be beneficial in disorders involving inflammatory stress including psychiatric and neurodegenerative illnesses.

Recruiting for a Randomized Clinical Trial for Late-Life Depression During COVID-19: Outcomes of Provider Referrals Versus Facebook Self-Referrals.

OBJECTIVE: To evaluate the effectiveness of online recruitment for a clinical trial of pharmacotherapy for late-life depression during COVID-19. METHODS: The authors calculated the yield, defined as recruitment leading to randomization (enrollment), from provider referrals versus Facebook self-referrals; compared characteristics and drop-out rates of participants from each source; and analyzed correlations between stringency of public health restrictions and referrals from each source over time. RESULTS: Provider referrals had a significantly higher yield (10 of 33 referrals; 30.3%) versus Facebook self-referrals (14 of 323; 4.3%) (p <0.00001). Participants self-referred from Facebook had significantly more education; otherwise, both groups had similar characteristics and drop-out rates. While public health stringency was negatively correlated with provider referrals (ρ = -0.32) and positively correlated with Facebook self-referrals (ρ = 0.39), neither association reached statistical significance. CONCLUSION: Online recruitment may improve access to clinical research for older depressed adults. Future studies should evaluate cost-effectiveness and potential barriers such as computer literacy.

Antidepressant Use and Its Association with 28-Day Mortality in Inpatients with SARS-CoV-2: Support for the FIASMA Model against COVID-19.

To reduce Coronavirus Disease 2019 (COVID-19)-related mortality and morbidity, widely available oral COVID-19 treatments are urgently needed. Certain antidepressants, such as fluvoxamine or fluoxetine, may be beneficial against COVID-19. We included 388,945 adult inpatients who tested positive for SARS-CoV-2 at 36 AP-HP (Assistance Publique-Hôpitaux de Paris) hospitals from 2 May 2020 to 2 November 2021. We compared the prevalence of antidepressant use at admission in a 1:1 ratio matched analytic sample with and without COVID-19 (N = 82,586), and assessed its association with 28-day all-cause mortality in a 1:1 ratio matched analytic sample of COVID-19 inpatients with and without antidepressant use at admission (N = 1482). Antidepressant use was significantly less prevalent in inpatients with COVID-19 than in a matched control group of inpatients without COVID-19 (1.9% versus 4.8%; Odds Ratio (OR) = 0.38; 95%CI = 0.35-0.41, p < 0.001). Antidepressant use was significantly associated with reduced 28-day mortality among COVID-19 inpatients (12.8% versus 21.2%; OR = 0.55; 95%CI = 0.41-0.72, p < 0.001), particularly at daily doses of at least 40 mg fluoxetine equivalents. Antidepressants with high FIASMA (Functional Inhibitors of Acid Sphingomyelinase) activity seem to drive both associations. These treatments may reduce SARS-CoV-2 infections and COVID-19-related mortality in inpatients, and may be appropriate for prophylaxis and/or COVID-19 therapy for outpatients or inpatients.

Association between antidepressant use and ED or hospital visits in outpatients with SARS-CoV-2.

Antidepressants have previously been associated with better outcomes in patients hospitalized with COVID-19, but their effect on clinical deterioration among ambulatory patients has not been fully explored. The objective of this study was to assess whether antidepressant exposure was associated with reduced emergency department (ED) or hospital visits among ambulatory patients with SARS-CoV-2 infection. This retrospective cohort study included adult patients (N = 25 034) with a positive SARS-CoV-2 test performed in a non-hospital setting. Logistic regression analyses tested associations between home use of antidepressant medications and a composite outcome of ED visitation or hospital admission within 30 days. Secondary exposures included individual antidepressants and antidepressants with functional inhibition of acid sphingomyelinase (FIASMA) activity. Patients with antidepressant exposure were less likely to experience the primary composite outcome compared to patients without antidepressant exposure (adjusted odds ratio [aOR] 0.89, 95% CI 0.79-0.99, p = 0.04). This association was only observed with daily doses of at least 20 mg fluoxetine-equivalent (aOR 0.87, 95% CI 0.77-0.99, p = 0.04), but not with daily doses lower than 20 mg fluoxetine-equivalent (aOR 0.94, 95% CI 0.80-1.11, p = 0.48). In exploratory secondary analyses, the outcome incidence was also reduced with exposure to selective serotonin reuptake inhibitors (aOR 0.87, 95% CI 0.75-0.99, p = 0.04), bupropion (aOR 0.70, 95% CI 0.55-0.90, p = 0.005), and FIASMA antidepressant drugs (aOR 0.87, 95% CI 0.77-0.99, p = 0.03). Antidepressant exposure was associated with a reduced incidence of emergency department visitation or hospital admission among SARS-CoV-2 positive patients, in a dose-dependent manner. These data support the FIASMA model of antidepressants' effects against COVID-19.

Fluvoxamine for Outpatient Management of COVID-19 to Prevent Hospitalization: A Systematic Review and Meta-analysis.

Importance: Widely available and affordable options for the outpatient management of COVID-19 are needed, particularly for therapies that prevent hospitalization. Objective: To perform a meta-analysis of the available randomized clinical trial evidence for fluvoxamine in the outpatient management of COVID-19. Data Sources: World Health Organization International Clinical Trials Registry Platform and ClinicalTrials.gov. Study Selection: Studies with completed outpatient trials with available results that compared fluvoxamine with placebo were included. Data Extraction and Synthesis: The PRISMA 2020 guidelines were followed and study details in terms of inclusion criteria, trial demographics, and the prespecified outcome of all-cause hospitalization were extracted. Risk of bias was assessed by the Cochrane Risk of Bias 2 tool and a bayesian random effects meta-analysis with different estimates of prior probability was conducted: a weakly neutral prior (50% chance of efficacy with 95% CI for risk ratio [RR] between 0.5 and 2.0) and a moderately optimistic prior (85% chance of efficacy). A frequentist random-effects meta-analysis was conducted as a senstivity analysis, and the results were contextualized by estimating the probability of any association (RR ≤ 1) and moderate association (RR ≤ 0.9) with reduced hospitalization. Main Outcomes and Measures: All-cause hospitalization. Results: This systematic review and meta-analysis of 3 randomized clinical trials and included 2196 participants. The RRs for hospitalization were 0.78 (95% CI, 0.58-1.08) for the bayesian weakly neutral prior, 0.73 (95% CI, 0.53-1.01) for the bayesian moderately optimistic prior, and 0.75 (95% CI, 0.58-0.97) for the frequentist analysis. Depending on the scenario, the probability of any association with reduced hospitalization ranged from 94.1% to 98.6%, and the probability of moderate association ranged from 81.6% to 91.8%. Conclusions and Relevance: In this systematic review and meta-analysis of data from 3 trials, under a variety of assumptions, fluvoxamine showed a high probability of being associated with reduced hospitalization in outpatients with COVID-19. Ongoing randomized trials are important to evaluate alternative doses, explore the effectiveness in vaccinated patients, and provide further refinement to these estimates. Meanwhile, fluvoxamine could be recommended as a management option, particularly in resource-limited settings or for individuals without access to SARS-CoV-2 monoclonal antibody therapy or direct antivirals.

Mental Health Clinical Research Innovations during the COVID-19 Pandemic: The Future Is Now.

The COVID-19 pandemic put an unprecedented strain on clinical research worldwide. As in-person clinical trials came to a screeching halt, we sought new ways to move forward, or as Bob Dylan put it, "start swimmin' or sink like a stone." Telemedicine has long been a part of medicine and clinical research, but fully remote clinical trials were few and far between. In the midst of the pandemic, at the Washington University School of Medicine we successfully conducted a fully remote clinical trial for a potential COVID-19 therapy, demonstrating the feasibility of fully remote or decentralized clinical trials.

Leveraging Disruptions to Create an Equitable, Age-Friendly, Learning Health System

In a learning health system, the system’s own data and the experiences of its workforce are integrated with external evidence to provide better care. In an age-friendly health system, core principles of age-friendly care are integrated into every point in the system. Disruptions caused by the COVID-19 pandemic, and the innovations that addressed them, present an opportunity to discuss how these two frameworks may be combined and leveraged to transform care for older adults. We will present examples of pandemic-related disruptions, including rapid changes in how patients and providers move within and between facilities and the significant toll on healthcare workers’ mental health. We will also highlight innovative solutions to these disruptions that could transform healthcare systems. Critical to these points is a discussion of how these disruptions have disproportionately impacted healthcare workers and patients of color and how the innovations must be implemented using an anti-racist, health equity lens.

Effect of early treatment with fluvoxamine on risk of emergency care and hospitalisation among patients with COVID-19: the TOGETHER randomised, platform clinical trial.

BACKGROUND: Recent evidence indicates a potential therapeutic role of fluvoxamine for COVID-19. In the TOGETHER trial for acutely symptomatic patients with COVID-19, we aimed to assess the efficacy of fluvoxamine versus placebo in preventing hospitalisation defined as either retention in a COVID-19 emergency setting or transfer to a tertiary hospital due to COVID-19. METHODS: This placebo-controlled, randomised, adaptive platform trial done among high-risk symptomatic Brazilian adults confirmed positive for SARS-CoV-2 included eligible patients from 11 clinical sites in Brazil with a known risk factor for progression to severe disease. Patients were randomly assigned (1:1) to either fluvoxamine (100 mg twice daily for 10 days) or placebo (or other treatment groups not reported here). The trial team, site staff, and patients were masked to treatment allocation. Our primary outcome was a composite endpoint of hospitalisation defined as either retention in a COVID-19 emergency setting or transfer to tertiary hospital due to COVID-19 up to 28 days post-random assignment on the basis of intention to treat. Modified intention to treat explored patients receiving at least 24 h of treatment before a primary outcome event and per-protocol analysis explored patients with a high level adherence (>80%). We used a Bayesian analytic framework to establish the effects along with probability of success of intervention compared with placebo. The trial is registered at ClinicalTrials.gov (NCT04727424) and is ongoing. FINDINGS: The study team screened 9803 potential participants for this trial. The trial was initiated on June 2, 2020, with the current protocol reporting randomisation to fluvoxamine from Jan 20 to Aug 5, 2021, when the trial arms were stopped for superiority. 741 patients were allocated to fluvoxamine and 756 to placebo. The average age of participants was 50 years (range 18-102 years); 58% were female. The proportion of patients observed in a COVID-19 emergency setting for more than 6 h or transferred to a teritary hospital due to COVID-19 was lower for the fluvoxamine group compared with placebo (79 [11%] of 741 vs 119 [16%] of 756); relative risk [RR] 0·68; 95% Bayesian credible interval [95% BCI]: 0·52-0·88), with a probability of superiority of 99·8% surpassing the prespecified superiority threshold of 97·6% (risk difference 5·0%). Of the composite primary outcome events, 87% were hospitalisations. Findings for the primary outcome were similar for the modified intention-to-treat analysis (RR 0·69, 95% BCI 0·53-0·90) and larger in the per-protocol analysis (RR 0·34, 95% BCI, 0·21-0·54). There were 17 deaths in the fluvoxamine group and 25 deaths in the placebo group in the primary intention-to-treat analysis (odds ratio [OR] 0·68, 95% CI: 0·36-1·27). There was one death in the fluvoxamine group and 12 in the placebo group for the per-protocol population (OR 0·09; 95% CI 0·01-0·47). We found no significant differences in number of treatment emergent adverse events among patients in the fluvoxamine and placebo groups. INTERPRETATION: Treatment with fluvoxamine (100 mg twice daily for 10 days) among high-risk outpatients with early diagnosed COVID-19 reduced the need for hospitalisation defined as retention in a COVID-19 emergency setting or transfer to a tertiary hospital. FUNDING: FastGrants and The Rainwater Charitable Foundation. TRANSLATION: For the Portuguese translation of the abstract see Supplementary Materials section.

Opportunities for Drug Repurposing of Serotonin Reuptake Inhibitors: Potential Uses in Inflammation, Infection, Cancer, Neuroprotection, and Alzheimer's Disease Prevention.

Serotonin reuptake inhibitors (SRIs) are safe and widely used for a variety of indications including depressive disorders, anxiety, and chronic pain. Besides inhibiting the serotonin transporter, these medications have broad-spectrum properties in many systems. Their roles have been studied in cancer, Alzheimer's disease, and infectious processes. The COVID-19 pandemic highlighted the importance of drug repurposing of medications already in use. We conducted a narrative review of current evidence and ongoing research on drug repurposing of SRIs, with a focus on immunomodulatory, antiproliferative, and neuroprotective activity. SRIs may have clinical use as repurposed agents for a wide variety of conditions including but not limited to COVID-19, Alzheimer's disease, and neoplastic processes. Further research, particularly randomized controlled trials, will be necessary to confirm the utility of SRIs for new indications.

Fluvoxamine for the Early Treatment of SARS-CoV-2 Infection: A Review of Current Evidence.

SARS-CoV-2 infection causes COVID-19, which frequently leads to clinical deterioration and/or long-lasting morbidity. Academic and governmental experts throughout the USA met in 2021 to discuss the potential for use of fluvoxamine as early treatment of SARS-CoV-2 infection. Fluvoxamine is a selective serotonin reuptake inhibitor (SSRI) that is a strong sigma-1 receptor agonist, and this may effectively reduce cytokine production, preventing clinical deterioration. This repurposed psychiatric medication has a well-known safety record, is inexpensive, easy to use, and widely available, all of which are advantages during this global COVID-19 pandemic. At the meeting, experts reviewed the existing published literature on the use of fluvoxamine as experimental COVID-19 treatment, as well as prior research on the potential mechanisms for anti-inflammatory effects of fluvoxamine, including for other conditions including sepsis. Investigators shared current trials underway and existing gaps in knowledge. Two randomized controlled trials and one observational study examining the effect of fluvoxamine in COVID-19 treatment have found high efficacy. Four larger randomized clinical trials are currently underway, including three in the USA and Canada. More data are needed on dosing and mechanisms of effect; however, fluvoxamine appears to have substantial potential as a safe and widely available medication that could be repurposed to ameliorate serious COVID-19-related morbidity and mortality. As of April 2021, fluvoxamine was mentioned in the NIH COVID-19 treatment guidelines, although no recommendation is made for or against use. Available data may warrant clinician discussion of fluvoxamine as a treatment option for COVID-19, using shared decision making. Video Abstract.

Modified Application of Cardiac Rehabilitation in Older Adults (MACRO) Trial: Protocol changes in a pragmatic multi-site randomized controlled trial in response to the COVID-19 pandemic.

BACKGROUND: Older adults are at higher risk for cardiovascular disease and functional decline, often leading to deterioration and dependency. Cardiac rehabilitation (CR) provides opportunity to improve clinical and functional recovery, yet participation in CR decreases with age. Modified Application of CR in Older Adults (MACRO) is a National Institute on Aging (NIA)-funded pragmatic trial that responds to this gap by aiming to increase enrollment of older adults into CR and improving functional outcomes. This article describes the methodology and novel features of the MACRO trial. METHODS: Randomized, controlled trial of a coaching intervention (MACRO-I) vs. usual care for older adults (age ≥ 70 years) eligible for CR after an incident cardiac hospitalization. MACRO-I incorporates innovations including holistic risk assessments, flexible CR format (i.e., helping patients to select a CR design that aligns with their personal risks and preferences), motivational prompts, nutritional emphasis, facilitated deprescription, enhanced education, and home visits. Key modifications were necessitated by the COVID-19 pandemic, including switching from a performance-based primary endpoint (Short Physical Performance Battery) to a patient-reported measure (Activity Measure for Post-Acute Care Computerized Adaptive Testing). Changes prompted by COVID-19 maintain the original intent of the trial and provide key methodologic advantages. CONCLUSIONS: MACRO is exploring a novel individualized coaching intervention to better enable older patients to participate in CR. Due to COVID-19 many aspects of the MACRO protocol required modification, but the primary objective of the trial is maintained and the updated protocol will more effectively achieve the original goals of the study.

Going remote: Implementing digital research methods at an academic medical center during COVID-19.

COVID-19 has forced medical research institutions to conduct clinical research remotely. Here, we describe how a university's mHealth Research Core helped facilitate the shift to remote research during the COVID-19 pandemic. In 2019 (pre-pandemic), we conducted stakeholder interviews and leadership group sessions to identify, create, and implement resources and core functions to support investigator-initiated mHealth research. Between April 2019 and February 2020, we identified four investigator needs: 1) a seminar series on trends in mHealth research, 2) mHealth case consultation services, 3) liaison services with institutional regulatory compliance groups, and 4) online navigation tools for implementation of mHealth methods (e.g., eConsent) and for building partnerships with technology vendors. To date, the mHealth Research Core has held seven seminars, completed 71 case consultations, assisted four COVID-related clinical studies, advised the IRB on shifting to remote research, and widely disseminated eConsent navigation tools. Although pre-pandemic stakeholder and investigator needs led to the creation of the mHealth Research Core, this institutional resource played a critical role in continuing clinical research during the pandemic by assisting investigators in rapidly shifting to remote study methodology.