Providing Person-Centered Care via Telemedicine in the Era of COVID-19 in Multiple Sclerosis.

The coronavirus disease 2019 (COVID-19) pandemic has catalyzed the rapid adoption of telemedicine which encompasses synchronous and asynchronous interactions between patients and providers. In order to facilitate this rapid deployment, there has been numerous regulatory changes to ensure caregivers can effectively communicate with patients during this time. We illustrate a model where people, processes, and technology work together to address the comprehensive needs of multiple sclerosis (MS) patients. We provide a template for how multidisciplinary, academic practices can implement a rapid shift to virtual management during the pandemic using existing infrastructure that can be widely adopted to care for patients with chronic diseases. Telemedicine was incorporated into our entire practice, which encompasses neurology, rehabilitation, advanced practice providers, fellows, social work, and behavioral medicine. Our patient satisfaction results remained stable across almost all domains when compared to survey results from our typical, in-office visits. Our experience demonstrates telemedicine's transformative potential in successfully managing a multidisciplinary MS clinic during the time of a pandemic and outlines a potential path for other practices to follow.

Categorizing and Rating Patient Complaints: An Innovative Approach to Improve Patient Experience.

The Ombudsman Office at a large academic medical center created a standardized approach to manage and measure unsolicited patient complaints, including methods to identify longitudinal improvements, accounting for volume variances, as well as incident severity to prioritize response needs. Data on patient complaints and grievances are collected and categorized by type of issue, unit location, severity, and individual employee involved. In addition to granular data, results are collated into meaningful monthly leadership reports to identify opportunities for improvement. An overall benchmark for improvement is also applied based on the number of complaints and grievances received for every 1000 patient encounters. Results are utilized in conjunction with satisfaction survey results to drive patient experience strategies. By applying benchmarks to patient grievances, targets can be created based on historical performance. The utilization of grievance and complaint benchmarking helps prioritize resources to improve patient experiences.

Patient Experience in Virtual Visits Hinges on Technology and the Patient-Clinician Relationship: A Large Survey Study With Open-ended Questions.

BACKGROUND: Patient satisfaction with in-person medical visits includes patient-clinician engagement. However, communication, empathy, and other relationship-centered care measures in virtual visits have not been adequately investigated. OBJECTIVE: This study aims to comprehensively consider patient experience, including relationship-centered care measures, to assess patient satisfaction during virtual visits. METHODS: We conducted a large survey study with open-ended questions to comprehensively assess patients' experiences with virtual visits in a diverse patient population. Adults with a virtual visit between June 21, 2017, and July 12, 2017, were invited to complete a survey of 21 Likert-scale items and textboxes for comments following their visit. Factor analysis of the survey items revealed three factors: experience with technology, patient-clinician engagement, and overall satisfaction. Multivariable logistic regression was used to test the associations among the three factors and patient demographics, clinician type, and prior relationship with the clinician. Using qualitative framework analysis, we identified recurrent themes in survey comments, quantitatively coded comments, and computed descriptive statistics of the coded comments. RESULTS: A total of 65.7% (426/648) of the patients completed the survey; 64.1% (273/426) of the respondents were women, and the average age was 46 (range 18-86) years. The sample was geographically diverse: 70.2% (299/426) from Ohio, 6.8% (29/426) from Florida, 4.2% (18/426) from Pennsylvania, and 18.7% (80/426) from other states. With regard to insurance coverage, 57.5% (245/426) were undetermined, 23.7% (101/426) had the hospital's employee health insurance, and 18.7% (80/426) had other private insurance. Types of virtual visits and clinicians varied. Overall, 58.4% (249/426) of patients had an on-demand visit, whereas 41.5% (177/426) had a scheduled visit. A total of 41.8% (178/426) of patients had a virtual visit with a family physician, 20.9% (89/426) with an advanced practice provider, and the rest had a visit with a specialist. Most patients (393/423, 92.9%) agreed that their virtual visit clinician was interested in them as a person, and their virtual visit made it easy to get the care they needed (383/421, 90.9%). A total of 81.9% (344/420) of respondents agreed or strongly agreed that their virtual visit was as good as an in-person visit by a clinician. Having a prior relationship with their virtual visit clinician was associated with less comfort and ease with virtual technology among patients (odds ratio 0.58, 95% CI 0.35-0.98). In terms of technology, patients found the interface easy to use (392/423, 92.7%) and felt comfortable using it (401/423, 94.8%). Technical difficulties were associated with lower odds of overall satisfaction (odds ratio 0.46, 95% CI 0.28-0.76). CONCLUSIONS: Patient-clinician engagement in virtual visits was comparable with in-person visits. This study supports the value and acceptance of virtual visits. Evaluations of virtual visits should include assessments of technology and patient-clinician engagement, as both are likely to influence patient satisfaction.

Obtaining Patient Priorities in a Multiple Sclerosis Comprehensive Care Center: Beyond Patient-Reported Outcomes.

BACKGROUND: In order to provide patient center care, our multiple sclerosis (MS) clinic assesses patient concerns before clinical encounters, first by asking the optional qualitative question "What is the most important thing you what your health-care provider to know today" (most important concern of the patient [MIPC]) and then completing quantitative patient-reported outcome measures (PROMs) including Quality of Life in Neurological Disorders (Neuro-QoL). Both sets of questions are designed to facilitate encounters that address patients' values and preferences. OBJECTIVE: Determine whether the qualitative MIPC responses provided unique information not included in PROMs or clinical assessments. METHODS: We randomly selected 400 first-time MIPC responders and 400 first-time MIPC nonresponders from 2788 participants in our database. We categorized MIPC responses by content and number of unique concerns and appended them to the Neuro-QoL framework. Nonresponders were compared to those who provided 1 and 2 or more responses. RESULTS: Several MIPCs MS symptoms categories were added to the Neuro-QoL Physical domain. Most important concern of the patients work and cost-of-care categories were added to the Social Domain. Domains regarding treatment satisfaction and disease management were added. Two hundred thirty (58%) MIPC respondents reported 1 concern, 140 (35%) expressed 2 to 6 concerns, and 30 (7%) reported MS-unrelated concerns and not analyzed. Physical symptoms were the most common MIPC (69.9%). Respondents with more concerns were more likely African American, lacked private insurance, and worse disability. CONCLUSIONS: Importantly, MIPC responders described idiosyncratic symptoms, disease management, and social concerns not included in the PROMS, suggesting the MIPC question offered patients a unique opportunity to share specific concerns with their providers.

Digital Health and the Care of the Patient With Arrhythmia: What Every Electrophysiologist Needs to Know.

The field of cardiac electrophysiology has been on the cutting edge of advanced digital technologies for many years. More recently, medical device development through traditional clinical trials has been supplemented by direct to consumer products with advancement of wearables and health care apps. The rapid growth of innovation along with the mega-data generated has created challenges and opportunities. This review summarizes the regulatory landscape, applications to clinical practice, opportunities for virtual clinical trials, the use of artificial intelligence to streamline and interpret data, and integration into the electronic medical records and medical practice. Preparation of the new generation of physicians, guidance and promotion by professional societies, and advancement of research in the interpretation and application of big data and the impact of digital technologies on health outcomes will help to advance the adoption and the future of digital health care.

Technology-enabled assessments to enhance multiple sclerosis clinical care and research.

BACKGROUND: Comprehensive and efficient assessments are necessary for clinical care and research in chronic diseases. Our objective was to assess the implementation of a technology-enabled tool in MS practice. METHOD: We analyzed prospectively collected longitudinal data from routine multiple sclerosis (MS) visits between September 2015 and May 2018. The MS Performance Test, comprising patient-reported outcome measures (PROMs) and neuroperformance tests (NPTs) self-administered using a tablet, was integrated into routine care. Descriptive statistics, Spearman correlations, and linear mixed-effect models were used to examine the implementation process and relationship between patient characteristics and completion of assessments. RESULTS: A total of 8022 follow-up visits from 4199 patients (median age 49.9 [40.2-58.8] years, 32.1% progressive course, and median disease duration 13.6 [5.9-22.3] years) were analyzed. By the end of integration, the tablet version of the Timed 25-Foot Walk was obtained in 89.0% of patients and the 9-Hole Peg Test in 94.8% compared with 74.2% and 64.3%, respectively before implementation. The greatest increase in data capture occurred in processing speed and low-contrast acuity assessments (0% prior vs 78.4% and 36.7%, respectively, following implementation). Four PROMs were administered in 41%-98% of patients compared with a single depression questionnaire with a previous capture rate of 70.6%. Completion rates and time required to complete each NPT improved with subsequent visits. Younger age and lower disability scores were associated with shorter completion time and higher completion rates. CONCLUSIONS: Integration of technology-enabled data capture in routine clinical practice allows acquisition of comprehensive standardized data for use in patient care and clinical research.

Home monitoring for COVID-19.

Cleveland Clinic recognized the importance of mitigating community transmission of COVID-19 by keeping people at home. Patient-care activities quickly pivoted to remote touches, preserving continuity through a variety of digital and telephonic modalities. As the number of confirmed cases grew, standardizing home-based care became critical to managing high-risk patients, moderating the risk of exposure for healthcare workers, and reducing the amount of community spread through appropriate education on home-based care for exposed or infected individuals. This novel, team-based approach to caring for patients with COVID-19 incorporates a self-monitoring app for patient engagement, monitors symptoms for early intervention, and promotes a holistic view of care.

Patterns of Use and Correlates of Patient Satisfaction with a Large Nationwide Direct to Consumer Telemedicine Service.

BACKGROUND: Despite its rapid expansion, little is known about use of direct to consumer (DTC) telemedicine. OBJECTIVE: To characterize telemedicine patients and physicians and correlates of patient satisfaction DESIGN: Cross-sectional study PARTICIPANTS: Patients and physicians of a large nationwide DTC telemedicine service MAIN MEASURES: Patient characteristics included demographics and whether or not they reported insurance information. Physician characteristics included specialty, board certification, and domestic versus international medical training. Encounter characteristics included time of day, wait time, length, coupon use for free or reduced-cost care, diagnostic outcome, prescription receipt, and patient/physician geographic concordance. Patients rated satisfaction with physicians on scales of 0 to 5 stars and reported where they would have sought care had they not used telemedicine. Logistic regression was used to assess factors associated with 5-star physician ratings. KEY RESULTS: The analysis included 28,222 encounters between 24,040 patients and 277 physicians completed between January 2013 and August 2016. Sixty-five percent of patients were under 40 years and 32% did not report insurance information. Family medicine was the most common physician specialty (47%) and 16% trained at a non-US medical school. Coupons were used in 24% of encounters. Respiratory infections were diagnosed in 35% of encounters and 69% resulted in a prescription. Had they not used telemedicine, 43% of patients reported they would have used urgent care/retail clinic, 29% would have gone to the doctor's office, 15% would have done nothing, and 6% would have gone to the emergency department. Eighty-five percent of patients rated their physician 5 stars. High satisfaction was positively correlated with prescription receipt (OR 2.98; 95%CI 2.74-3.23) and coupon use (OR 1.47; 95%CI 1.33-1.62). CONCLUSIONS: Patients were largely satisfied with DTC telemedicine, yet satisfaction varied by coupon use and prescription receipt. The impact of telemedicine on primary care and emergency department use is likely to be small under present usage patterns.