Individual-Level Digital Determinants of Health and Technology Acceptance of Patient Portals: Cross-Sectional Assessment.

BACKGROUND: Digital determinants of health (DDoH), including access to technological tools and digital health literacy, function independently as barriers to health. Assessment for DDoH is not routine within most health care systems, although addressing DDoH could help mitigate differential health outcomes and the digital divide. OBJECTIVE: This study aims to assess the role of individual-level DDoH factors on patient enrollment in and use of the patient portal. METHODS: We developed a multimodal, cross-sectional survey and deployed it to 11,424 individuals based on their preferred mode and language documented within the electronic medical record. Based on the Technology Acceptance Model, enrollment in and intent to use the patient portal were the outcomes of interest. Perceived usefulness and ease of use were assessed to determine construct validity, and exploratory investigations included individual-level DDoH, including internet and device access, availability of technological support, medical complexity, individual relationship with the health care system, and digital health literacy. Counts (n) and proportions (%) were used to describe response categories, and adjusted and unadjusted odds ratios are reported. RESULTS: This study included 1850 respondents (11,424 invited, 16.2% response rate), who were mostly female (1048/1850, 56.6%) and White (1240/1850, 67%), with an average age of 63 years. In the validation of the Technology Acceptance Model, measures of perceived ease of use (ie, using the patient portal will require a lot of mental effort; the patient portal will be very easy to use) and perceived usefulness (ie, the usefulness of the patient portal to send and receive messages with providers, schedule appointments, and refill medications) were positively associated with both enrollment in and intent to use the patient portal. Within adjusted models, perceived ease of use and perceived usefulness constructs, in addition to constructs of digital health literacy, knowing what health resources are available on the internet (adjusted odds ratio [aOR] 3.5, 95% CI 1.8-6.6), portal ease of use (aOR 2.8, 95% CI 1.6-5), and portal usefulness (aOR 2.4, 95% CI 1.4-4.2) were significantly associated with patient portal enrollment. Other factors associated with patient portal enrollment and intent to use included being comfortable reading and speaking English, reported use of the internet to surf the web or to send or receive emails, home internet access, and access to technology devices (computer, tablet, smartphone, etc). CONCLUSIONS: Assessing for and addressing individual-level DDoH, including digital health literacy, access to digital tools and technologies, and support of the relational aspects between patients, social support systems, and health care providers, could help mitigate disparities in health. By focusing efforts to assess for and address individual-level DDoH, an opportunity exists to improve digitally driven health care delivery outcomes like access and structural outcomes like bias built within algorithms created with incomplete representation across communities.

A Cross-Sectional Survey Study of Cannabis Use for Fibromyalgia Symptom Management.

OBJECTIVE: To assess the use of cannabis as a symptom management strategy for patients with fibromyalgia. PATIENTS AND METHODS: An electronic, cross-sectional survey was conducted among patients diagnosed with fibromyalgia and treated in Integrative Medicine & Health at Mayo Clinic, Rochester, Minnesota. The survey was constructed with the Symptom Management Theory tool and was sent anonymously via web-based software to patients with a diagnosis of fibromyalgia. RESULTS: Of 5234 patients with fibromyalgia sent the online survey, 1336 (25.5%) responded and met the inclusion criteria. Survey respondents had a median age of 48 (Q1-Q3: 37.5-58.0) years, and most identified as female. Nearly half of respondents (49.5%, n=661) reported cannabis use since their fibromyalgia diagnosis. The most common symptoms for which respondents reported using cannabis were pain (98.9%, n=654); fatigue (96.2%; n=636); stress, anxiety, or depression (93.9%; n=621); and insomnia (93.6%; n=619). Improvement in pain symptoms with cannabis use was reported by 82.0% (n=536). Most cannabis-using respondents reported that cannabis also improved symptoms of stress, anxiety, and depression and of insomnia. CONCLUSION: Considering that cannabis is a popular choice among patients for managing fibromyalgia symptoms, clinicians should have adequate knowledge of cannabis when discussing therapeutic options for fibromyalgia with their patients.

Impact of Program Changes Including Telemedicine and Telephonic Care During the COVID-19 Pandemic in Preventing 30-Day Hospital Readmission for Patients in a Care Transitions Program.

INTRODUCTION/OBJECTIVES: To describe health outcomes of older adults enrolled in the Mayo Clinic Care Transitions (MCCT) program before and during the COVID-19 pandemic compared to unenrolled patients. METHODS: We conducted a retrospective cohort study of adults (age >60 years) in the MCCT program compared to a usual care control group from January 1, 2019, to September 20, 2022. The MCCT program involved a home, telephonic, or telemedicine visit by an advanced care provider. Outcomes were 30- and 180-day hospital readmissions, emergency department (ED) visit, and mortality. We performed a subgroup analysis after March 1, 2020 (during the pandemic). We analyzed data with Cox proportional hazards regression models and hazard ratios (HRs) with 95% CIs. RESULTS: Of the 1,012 patients total, 354 were in the MCCT program and 658 were in the usual care group with a mean (SD) age of 81.1 (9.1) years overall. Thirty-day readmission was 16.9% (60 of 354) for MCCT patients and 14.7% (97 of 658) for usual care patients (HR, 1.24; 95% CI, 0.88-1.75). During the pandemic, the 30-day readmission rate was 15.1% (28 of 186) for MCCT patients and 14.9% (68 of 455) for usual care patients (HR, 1.20; 95% CI, 0.75-1.91). There was no difference between groups for 180-day hospitalization, 30- or 180-day ED visit, and 30- or 180-day mortality. CONCLUSIONS: Numerous factors involving patients, providers, and health care delivery systems during the pandemic most likely contributed to these findings.

Implementation of eLearning solutions for patients with chronic pain conditions.

Background: Digital and mobile (mHealth) solutions are online or application-based services intended to support individuals with health needs. Despite evidence supporting the use of mHealth for patients with chronic pain, and the increasing desire of these types of solutions by both patients and providers, adoption of mHealth solutions remains limited. Implementation mapping can serve as a practical method to facilitate implementation and adoption of mHealth solutions within healthcare settings. Methods: Implementation mapping was used to develop implementation strategies based on contextual determinants organized within the Consolidated Framework for Implementation Research (CFIR) for mHealth eLearning solutions across an integrated, multi-site healthcare system. We describe our experience identifying stakeholders, delineating implementation facilitators and barriers, defining implementation outcomes using RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework, outlining initial implementation strategies, and iterating on implementation strategies. Results: A total of 30 implementation strategies were identified and implemented. Over the first year, primary and specialty care providers across all the clinical sites (n = 70) placed 2559 orders for the mHealth solution. Most patients reported receiving the mHealth eLearning module (74%), and most patients felt that the tool improved their knowledge regarding their condition (82%) and their ability to provide self-care related to the condition (73%). Conclusion: Practical applications of implementation science methods can help enable change within healthcare settings. Implementation mapping is an exercise that can engage stakeholders to facilitate the incorporation of new methods of care delivery, including mHealth solutions.

Feasibility and Usability of a Mobile App-Based Interactive Care Plan for Migraine in a Community Neurology Practice: Development and Pilot Implementation Study.

BACKGROUND: Migraine is a common and major cause of disability, poor quality of life, and high health care use. Access to evidence-based migraine care is limited and projected to worsen. Novel mobile health app-based tools may effectively deliver migraine patient education to support self-management, facilitate remote monitoring and treatment, and improve access to care. The risk that such an intervention may increase the care team workload is a potential implementation barrier. OBJECTIVE: This study aims to describe a novel electronic health record-integrated mobile app-based Migraine Interactive Care Plan (MICP) and evaluate its feasibility, usability, and impact on care teams in a community neurology practice. METHODS: Consecutive enrollees between September 1, 2020, and February 16, 2022, were assessed in a single-arm observational study of usability, defined by 74.3% (127/171) completing ≥1 assigned task. Task response rates, rate and type of care team escalations, and patient-reported outcomes were summarized. Patients were prospectively recruited and randomly assigned to routine care with or without the MICP from September 1, 2020, to September 1, 2021. Feasibility was defined by equal to or fewer downstream face-to-face visits, telephone contacts, and electronic messages in the MICP cohort. The Wilcoxon rank-sum test was used to compare continuous variables, and the chi-square test was used for categorical variables for those with at least 3 months of follow-up. RESULTS: A total of 171 patients were enrolled, and of these, 127 (74.3%) patients completed ≥1 MICP-assigned task. Mean escalations per patient per month was 0.9 (SD 0.37; range 0-1.7). Patient-confirmed understanding of the educational materials ranged from 26.6% (45/169) to 56.2% (95/169). Initial mean headache days per week was 4.54 (SD 2.06) days and declined to 2.86 (SD 1.87) days at week 26. The percentage of patients reporting favorable satisfaction increased from a baseline of 35% (20/57) to 83% (15/18; response rate of 42/136, 30.9% to 28/68, 41%) over the first 6 months. A total of 121 patients with MICP were compared with 62 patients in the control group. No differences were observed in the rate of telephone contacts or electronic messages. Fewer face-to-face visits were observed in the MICP cohort (13/121, 10.7%) compared with controls (26/62, 42%; P<.001). CONCLUSIONS: We describe the successful implementation of an electronic health record-integrated mobile app-based care plan for migraine in a community neurology practice. We observed fewer downstream face-to-face visits without increasing telephone calls, medication refills, or electronic messages. Our findings suggest that the MICP has the potential to improve patient access without increasing care team workload and the need for patient input from diverse populations to improve and sustain patient engagement. Additional studies are needed to assess its impact in primary care.

Digital Care Horizon: A Framework for Extending Health Care Through Digital Transformation.

The population needing health care services grows faster than the management capabilities of our current health care delivery models. Patients journeying through our current health care systems receive a spectrum of services, often imperfectly matched to medical needs. We describe a framework of the Digital Care Horizon to accelerate digital transformation from the perspective of a health care delivery system. We describe service delivery models across the horizon, discuss potential challenges and partnerships to facilitate the digital extension of health care, and mention concepts beyond the current horizon.

Development and Implementation of an Acute Kidney Injury Remote Patient Monitoring Program: Research Letter.

Acute kidney injury (AKI) survivors have a dynamic posthospital course which warrants close monitoring. Remote patient monitoring (RPM) could be used to improve quality and efficiency of AKI survivor care. Objective: The objective of this report was to describe the development and preliminary feasibility of an AKI RPM program launched in October 2021. Setting: Academic medical center. Patients: Patients enrolled in the AKI RPM program were those who experienced AKI during a hospitalization and underwent nephrology consultation. Measurements/Methods: At enrollment, patients were provided with home monitoring technology and underwent weekly laboratory assessments. Nurses evaluated the data daily and adhered to prespecified protocols for management and escalation of care if needed. Results: Twenty patients were enrolled in AKI RPM in the first 5 months. Median duration of program participation was 36 (31, 40) days. Eight patients (40%) experienced an unplanned readmission, or an emergency department visit, half (N = 4) of which were attributed to AKI and related circumstances. Of the 9 postgraduation survey respondents, all were satisfied with the RPM program and 89% would recommend RPM to other patients with similar health conditions. Limitations: Acute kidney injury RPM was made possible by the existing infrastructure in our integrated health system and the robust resources available in the Mayo Clinic Center for Digital Health. Such infrastructure may not be universally available which could limit scale and generalizability of such a program. Conclusions: Remote patient monitoring can offer a unique opportunity to bridge the care transition from hospital to home and increase access to quality care for the AKI survivors.

Les survivants d'un épisode d'insuffisance rénale aiguë (IRA) ont un parcours post-hospitalier dynamique qui justifie une surveillance étroite. La télésurveillance des patients (TSP) pourrait être employée pour améliorer la qualité et l'efficacité des soins pour les survivants de l'IRA. Objectif: L'objectif de ce rapport était de décrire le développement et la faisabilité préliminaire d'un programme de TSP-IRA (télésurveillance des patients atteints d'IRA) en octobre 2021. Cadre: Centre médical universitaire. Sujets: Les patients inscrits au programme de TSP-IRA étaient des patients qui avaient vécu un épisode d'IRA lors d'une hospitalisation et obtenu une consultation en néphrologie. Mesures et méthodologie: Au moment de l'inclusion, les patients ont reçu un dispositif de surveillance à domicile et se sont soumis à des évaluations de laboratoire hebdomadaires. Les infirmières ont évalué les données quotidiennement et ont respecté des protocoles prédéfinis pour la gestion et l'escalade des soins si nécessaire. Résultats: Vingt patients ont été inclus dans le programme de TSP-IRA au cours des cinq premiers mois. La durée médiane de participation au programme était de 36 (31, 40) jours. Huit patients (40%) ont dû être réadmis de façon non planifiée ou ont dû faire une visite aux urgences; pour la moitié d'entre eux (N = 4) en raison de l'IRA et de circonstances connexes. Parmi les neuf répondants qui ont répondu au sondage à la complétion du programme, tous se sont dits satisfaits du programme de TSP et 89% le recommanderaient à d'autres patients ayant des problèmes de santé similaires. Limites: Le programme de TSP-IRA a été rendu possible grâce à l'infrastructure existante dans notre système de santé intégré et aux ressources robustes disponibles au Mayo Clinic Center for Digital Health. Une telle infrastructure n'est peut-être pas universellement disponible, ce qui pourrait limiter l'ampleur et la généralisabilité d'un tel programme. Conclusion: La TSP peut offrir une occasion unique de faciliter la transition des soins entre l'hôpital et le domicile et d'accroître l'accès à des soins de qualité pour les survivants d'un épisode d'IRA.

Pharmacists' perspectives on opioid stewardship challenges.

OBJECTIVE: Pharmacists are in a distinctive position to champion opioid stewardship principles in communications with prescribers and patients. This effort is focused on elucidating perceived barriers to uphold these principles observed in pharmacy practice. DESIGN: Qualitative research study. SETTING: A healthcare system, consisting of inpatient and outpatient settings across several United States (US) states in both rural and academic settings. PARTICIPANTS: Twenty-six pharmacists who represented the study setting in the sole healthcare system. INTERVENTIONS: Five virtual focus groups were conducted with the 26 pharmacists from inpatient and outpatient settings across four states in both rural and academic settings. Trained moderators conducted 1-hour focus group meetings that consisted of a mix of poll and discussion questions. MAIN OUTCOME MEASURE: Participant questions were related to awareness, knowledge, and system issues affecting opioid stewardship. RESULTS: All pharmacists reported their routine follow-up with prescribers when questions or concerns arise but noted workload as a barrier to meticulous review of opioid prescriptions. Participants highlighted best practices, including transparency on the rationale for guideline exceptions to improve the management of after-hours concerns. Suggestions were integration of guidelines into prescriber and pharmacist order review workflows and a more visible prescriber review of prescription drug monitoring programs. CONCLUSIONS: Improvements in communication and transparency of information related to opioid prescribing between pharmacists and prescribers would enhance opioid stewardship. Integration of opioid guidelines into opioid ordering and review would improve efficiency, guideline adherence, and, most importantly, patient care.

Development of a Visit Facilitator Role to Assist Physicians in an Ambulatory Consultative Medical Practice.

Objective: To decrease the electronic health record (EHR) clerical burden and improve patient/clinician satisfaction, allied health staff were trained as visit facilitators (VFs) to assist the physician in clinical and administrative tasks. Patients and Methods: From December 7, 2020, to October 11, 2021, patients with complex medical conditions were evaluated by an internal medicine physician in an outpatient general internal medicine (GIM) consultative practice at a tertiary care institution. A VF assisted with specific tasks before, during, and after the clinical visit. Presurvey and postsurvey assessments were performed to understand the effect of the VF on clinical tasks as perceived by the physician. Results: A total of 57 GIM physicians used a VF, and 41 (82%) physicians and 39 (79%) physicians completed the pre-VF and post-VF surveys, respectively. Physicians reported a significant reduction in time reviewing outside materials, updating pertinent information, and creating/modifying EHR orders (P<.05). Clinicians reported improved interactions with patients and on-time completion of clinical documentation. In the pre-VF survey, "too much time spent" was the most common response for reviewing outside material, placing/modifying orders, completing documentation/clinical notes, resolving in-baskets, completing dismissal letters, and completing tasks outside of work hours. In the post-VF survey, "too much time spent" was not the most common answer to any question. Satisfaction improved in all areas (P<.05). Conclusion: VFs significantly reduced the EHR clinical burden and improved GIM physician practice satisfaction. This model can potentially be used in a wide range of medical practices.

Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical Trial.

CONTEXT: Palliative care services are commonly provided to hospitalized patients, but accurately predicting who needs them remains a challenge. OBJECTIVES: To assess the effectiveness on clinical outcomes of an artificial intelligence (AI)/machine learning (ML) decision support tool for predicting patient need for palliative care services in the hospital. METHODS: The study design was a pragmatic, cluster-randomized, stepped-wedge clinical trial in 12 nursing units at two hospitals over a 15-month period between August 19, 2019, and November 17, 2020. Eligible patients were randomly assigned to either a medical service consultation recommendation triggered by an AI/ML tool predicting the need for palliative care services or usual care. The primary outcome was palliative care consultation note. Secondary outcomes included: hospital readmissions, length of stay, transfer to intensive care and palliative care consultation note by unit. RESULTS: A total of 3183 patient hospitalizations were enrolled. Of eligible patients, A total of 2544 patients were randomized to the decision support tool (1212; 48%) and usual care (1332; 52%). Of these, 1717 patients (67%) were retained for analyses. Patients randomized to the intervention had a statistically significant higher incidence rate of palliative care consultation compared to the control group (IRR, 1.44 [95% CI, 1.11-1.92]). Exploratory evidence suggested that the decision support tool group reduced 60-day and 90-day hospital readmissions (OR, 0.75 [95% CI, 0.57, 0.97]) and (OR, 0.72 [95% CI, 0.55-0.93]) respectively. CONCLUSION: A decision support tool integrated into palliative care practice and leveraging AI/ML demonstrated an increased palliative care consultation rate among hospitalized patients and reductions in hospitalizations.

Comorbid extra-intestinal central sensitization conditions worsen irritable bowel syndrome in primary care patients.

BACKGROUND: Irritable bowel syndrome (IBS) is characterized as a central sensitization syndrome (CSS), a group of conditions including fibromyalgia, chronic fatigue, and restless leg syndrome (RLS) among others with frequent comorbidities of anxiety, depression, and chemical sensitivity. The prevalence of comorbid conditions and their impact on IBS symptom severity and quality of life in rural community populations has not been described. METHODS: We administered a cross-sectional survey to patients with a documented CSS diagnosis in rural primary care practices to evaluate the relationship between CSS diagnoses, quality of life, symptom severity, and interactions with healthcare providers utilizing validated questionnaires. Subgroup analysis was performed on the IBS cohort. Mayo Clinic IRB approved the study. KEY RESULTS: Seven hundred seventy-five individuals out of 5000 completed the survey (15.5% response rate) with 264 (34%) reporting IBS. Only 3% (n = 8) of IBS patients reported IBS alone without comorbid CSS condition. Most respondents reported overlapping migraine (196, 74%), depression (183, 69%), anxiety (171, 64%), and fibromyalgia (139, 52%). IBS patients with more than two comorbid CS condition showed significantly higher symptom severity with linear increase. Quality of life was lower in IBS with comorbid conditions, particularly in patients with IBS and RLS (mean EQ5-D 0.36 vs. 0.8 in IBS only, p < 0.01). Quality of life declined as number of comorbid conditions increased. CONCLUSIONS & INFERENCES: Patients with IBS often have multiple CS disorders which increases symptom severity and lowers quality of life. Understanding the impact of multiple CSS diagnoses and treating these as a global condition may improve patient experience.

Patient preferences for telehealth services in a large multispecialty practice.

INTRODUCTION: Telehealth service provision has accelerated during the Coronavirus disease 2019 (COVID-19) pandemic. As the pandemic continues, clinical practices have discovered ways to resume operations. Opportunities exist to understand patient preferences for telehealth clinical services and to tailor offerings to different demographic groups. METHODS: We conducted a survey of patients receiving telehealth services through our outpatient practice to understand the types of healthcare services for which patients report preferences for telehealth. RESULTS: We received 551 survey responses (response rate = 20.8%; 551/2650). More than half of patients indicated being 'very likely' to use telehealth services to refill medication(s) (67.3%), prepare for an upcoming visit (66.1%), review test results (60.3%), or receive education (54.2%). Males had lower odds of preferring telehealth services for reviewing test results (odds ratio (OR) = 0.57; 95% confidence interval (CI): 0.34-0.94) or mental health issues (OR = 0.54; 95% CI: 0.38-0.77). Respondents who received a video visit were significantly more likely than those who received a telephone visit to report preferences for using telehealth for education, care plan discussions, long-term health issues, and mental health. DISCUSSION: Patient preferences for telehealth services vary by services provided and respondent demographics. Experience with telehealth increases the likelihood for future use of these services.

Cannabis in Cancer Survivors Who Report High Impact Chronic Pain: Findings from a 1500+ Patient Survey.

BACKGROUND: Chronic pain in cancer survivors negatively impacts quality of life. This study sought to investigate the relationship between high-impact chronic pain (HICP) -- defined as chronic pain that limits life or work activities on most days or every day in the past 3 months -- and cannabis in cancer survivors. METHODS: An electronic survey was developed in conjunction with the National Cancer Institute Comprehensive Cancer Centers in the United States. This survey was distributed to cancer survivors within a multi-site, single institution setting. RESULTS: The survey response rate was 23.0% (2304/10,000); 72.7% of these patients (1676/2304) did in fact have a confirmed cancer diagnosis. Among these cancer survivors, 16.5% (unweighted 278/1676) had HICP, and 12.4% (208/1676) reported cannabis use since their cancer diagnosis. The prevalence of past 30-day cannabis use was 12.3% (206/1676). Compared to cancer survivors without pain, those with HICP were more likely to believe in the benefits of cannabis (unweighted 92.1% vs. 74.7%; age-adjusted odds ratio [OR] = 3.1; 95% CI: 1.9-5.1) and less likely to believe in its risks (unweighted 48.2% vs. 58.4%; age-adjusted OR = 0.6; 95% CI: 0.4-0.7). CONCLUSIONS: Cancer survivors with HICP have a higher prevalence of cannabis use compared to those patients without pain. More research is needed to advance pain and symptom management among cancer survivors and to identify clinical scenarios in which benefit is greater than potential harm.

Patient Perspectives on Anti-spike Monoclonal Antibody Therapy for Mild to Moderate Coronavirus Disease-2019.

Anti-spike monoclonal antibodies emerged as effective early treatment of high-risk individuals with mild-to-moderate COVID-19. Although their clinical and safety outcomes have been reported, patient perspectives of these experimental therapies have not been evaluated. In this survey participated by 644/2412 (26.7% response) individuals evaluated for anti-spike monoclonal antibody therapies, the majority of 523 patients who received the antibody infusion were very satisfied with their overall patient experience, the quality of care provided, and various aspects of medical care. They voiced satisfaction with the communication with providers before and during treatment, including education provided about monoclonal antibody treatment, the potential benefits and adverse effects, detailed instructions on the process of infusion, and safety protocols employed at the infusion facilities. Nearly a quarter (23.6%) of 121 patients who declined therapy indicated they would accept treatment should it be offered again. These patient perspectives may be used to guide healthcare facilities and providers in optimizing the care provided to high-risk outpatients with COVID-19.

Provider Perspectives and Clinical Outcomes with Inpatient Telenephrology.

BACKGROUND AND OBJECTIVES: Despite the dramatic increase in the provision of virtual nephrology care, only anecdotal reports of outcomes without comparators to usual care exist in the literature. This study aimed to provide objective determination of clinical noninferiority of hybrid (telenephrology plus face-to-face) versus standard (face-to-face) inpatient nephrology care. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This retrospective study compares objective outcomes in patients who received inpatient hybrid care versus standard nephrology care at two Mayo Clinic Health System community hospitals. Outcomes were then additionally compared with those patients receiving care at another Mayo Clinic Health System site where only standard care is available. Hospitalized adults who had nephrology consults from March 1, 2020 to February 28, 2021 were considered. Regression was used to assess 30-day mortality, length of hospitalization, readmissions, odds of being prescribed dialysis, and hospital transfers. Sensitivity analysis was performed using patients who had ≥50% of their care encounters via telenephrology. Structured surveys were used to understand the perspectives of non-nephrology hospital providers and telenephrologists. RESULTS: In total, 850 patients were included. Measured outcomes that included the number of hospital transfers (odds ratio, 1.19; 95% confidence interval, 0.37 to 3.82) and 30-day readmissions (odds ratio, 0.97; 95% confidence interval, 0.84 to 1.06), among others, did not differ significantly between controls and patients in the general cohort. Telenephrologists (n=11) preferred video consults (82%) to phone for communication. More than half (64%) of telenephrologists spent less time on telenephrology compared with standard care. Non-nephrology hospital providers (n=21) were very satisfied (48%) and satisfied (29%) with telenephrology response time and felt telenephrology was as safe as standard care (67%), while providing them enough information to make patient care decisions (76%). CONCLUSIONS: Outcomes for in-hospital nephrology consults were not significantly different comparing hybrid care versus standard care. Non-nephrology hospital providers and telenephrologists had favorable opinions of telenephrology and most perceived it is as safe and effective as standard care. PODCAST: This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_04_11_CJN13441021.mp3.

Creation of a Multispecialty Clinic for Patients with Central Sensitization-Based Chronic Pain Conditions.

OBJECTIVE: To design and evaluate, through a human-centered design approach, a multispeciality clinic for patients with central sensitization syndromes that combined virtual previsit consultations, traditional face-to-face appointments, and technology-enabled educational programming. PATIENTS AND METHODS: Patients with suspected fibromyalgia and chronic abdominal pain were seen in a multispecialty practice, and the performance of the clinic was evaluated against a contemporary cohort. Quantitative and qualitative evaluation measures included team estimates of time spent on care-related tasks, physician rank of alignment of patient need with clinic design, major appointment changes, and nonvisit care tasks. Members of the care team also evaluated strengths, weaknesses, opportunities, and threats to the success of the clinic. RESULTS: The pilot clinic was operated from April 1, 2020, to April 30, 2021, and included 34 patients with suspected fibromyalgia/chronic abdominal pain. During the pilot period, physicians ranked the value of the virtual previsit consultations in providing care as 7.5 on a scale of 0 to 10 and reported an average of 50 minutes in preparation for the appointment, execution of the appointment, and postvisit documentation. We did not observe substantial differences in the number of added appointments or messages received within the patient portal when compared with a comparison cohort. Patients who participated in the combination nurse educator-led and digital education program provided positive feedback about their experience. CONCLUSION: Our clinic model provides a framework for the treatment of patients with debilitating centrally sensitized conditions and future expansion of virtual care delivery models to better meet patient care and educational needs.

Improving time to palliative care review with predictive modeling in an inpatient adult population: study protocol for a stepped-wedge, pragmatic randomized controlled trial.

BACKGROUND: Palliative care is a medical specialty centered on improving the quality of life (QOL) of patients with complex or life-threatening illnesses. The need for palliative care is increasing and with that the rigorous testing of triage tools that can be used quickly and reliably to identify patients that may benefit from palliative care. METHODS: To that aim, we will conduct a two-armed stepped-wedge cluster randomized trial rolled out to two inpatient hospitals to evaluate whether a machine learning algorithm accurately identifies patients who may benefit from a comprehensive review by a palliative care specialist and decreases time to receiving a palliative care consult in hospital. This is a single-center study which will be conducted from August 2019 to November 2020 at Saint Mary's Hospital & Methodist Hospital both within Mayo Clinic Rochester in Minnesota. Clusters will be nursing units which will be chosen to be a mix of complex patients from Cardiology, Critical Care, and Oncology and had previously established relationships with palliative medicine. The stepped wedge design will have 12 units allocated to a design matrix of 5 treatment wedges. Each wedge will last 75 days resulting in a study period of 12 months of recruitment unless otherwise specified. Data will be analyzed with Bayesian hierarchical models with credible intervals denoting statistical significance. DISCUSSION: This intervention offers a pragmatic approach to delivering specialty palliative care to hospital patients in need using machine learning, thereby leading to high value care and improved outcomes. It is not enough for AI to be utilized by simply publishing research showing predictive performance; clinical trials demonstrating better outcomes are critically needed. Furthermore, the deployment of an AI algorithm is a complex process that requires multiple teams with varying skill sets. To evaluate a deployed AI, a pragmatic clinical trial can accommodate the difficulties of clinical practice while retaining scientific rigor. TRIAL REGISTRATION: ClinicalTrials.gov NCT03976297 . Registered on 6 June 2019, prior to trial start.

Central Sensitization Symptom Severity and Patient-Provider Relationships in a Community Setting.

INTRODUCTION: Central sensitization syndromes (CSS) comprise an overlapping group of clinical conditions with the core feature of "pain arising as a direct consequence of a lesion or disease affecting the somatosensory system." Patients with CSS are known to have challenging interactions with healthcare providers contributing to psychological distress and increased healthcare utilization. CSS symptom severity has been associated with psychologic comorbidities, but little is known about how symptom severity relates to provider interactions. METHODS: We performed a cross-sectional survey among patients with CSS in our primary care practices to examine the relationship between CSS symptom severity and experiences with doctors. RESULTS: A total of 775 respondents completed the survey (775/5000; 15.5%) with 72% reporting high CSS symptom severity. About 44% of respondents had a prior diagnosis of fibromyalgia, 72% had migraines, and 28% had IBS. Patients with high CSS symptom severity were more likely to report that doctor(s) had often/always told them that they don't need treatment when they feel like they do (OR = 3.6, 95% CI 1.9-7.5), that doctor(s) often/always don't understand them (OR = 3.1, 95% CI 1.9-5.4), and that doctor(s) often/always seem annoyed with them when compared with respondents with low-moderate CSS symptom severity (OR = 4.8, 95% CI 2.2-12.5). Patients with high CSS symptom severity were at greater than 5 times odds of reporting being told that their symptoms were "all in their head" when compared to patients with low-moderate symptom severity (OR = 5.4, 95% CI 3.3-9.0). CONCLUSION: Patients with CSS spectrum disorders experience frequent pain and decreased quality of life. A high degree of CSS symptom severity is associated with negative experiences with healthcare providers, which deters the establishment of a positive provider-patient relationship. Further research is needed to help understand symptom severity in CSS and harness the power of the therapeutic alliance as a treatment modality.