Clinician use of data elements from cardiovascular implantable electronic devices in clinical practice.

Background: Cardiovascular implantable electronic devices (CIEDs) capture an abundance of data for clinicians to review and integrate into the clinical decision-making process. The multitude of data from different device types and vendors presents challenges for viewing and using the data in clinical practice. Efforts are needed to improve CIED reports by focusing on key data elements used by clinicians. Objective: The purpose of this study was to uncover the extent to which clinicians use the specific types of data elements from CIED reports in clinical practice and explore clinicians' perceptions of CIED reports. Methods: A brief, web-based, cross-sectional survey study was deployed using snowball sampling from March 2020 through September 2020 to clinicians who are involved in the care of patients with CIEDs. Results: Among 317 clinicians, the majority specialized in electrophysiology (EP) (80.1%), were from North America (88.6%), and were white (82.2%). Over half (55.3%) were physicians. Arrhythmia episodes and ventricular therapies rated the highest among 15 categories of data presented, and nocturnal or resting heart rate and heart rate variability were rated the lowest. As anticipated, clinicians specializing in EP reported using the data significantly more than other specialties across nearly all categories. A subset of respondents offered general comments describing preferences and challenges related to reviewing reports. Conclusion: CIED reports contain an abundance of information that is important to clinicians; however, some data are used more frequently than others, and reports could be streamlined for users to improve access to key information and facilitate more efficient clinical decision making.

New-onset psychosis following COVID-19 infection in a patient with no psychiatric history: A longitudinal case report.

Background: Viral infection, including COVID-19, has been implicated as a potential cause of various neurobehavioral issues. An increasing number of case reports suggest that current or recent COVID-19 infection may cause new onset of psychotic symptoms in some individuals, potentially related to viral inflammation or infection of the nervous system. Case presentation: A 26-year-old woman with no psychiatric history presented with severe psychotic symptoms days after recovery from a mild COVID-19 infection. No other etiologies for psychosis were identified via diagnostic testing, review of medical history, or interviews with family. Her symptoms persisted for approximately two months, requiring three inpatient admissions, various medication trials, and ongoing outpatient follow-up. With continued use of quetiapine and lithium, she returned to living independently and working full-time, and discontinued all medication approximately nine months after symptom onset. Conclusion: The psychiatric and cognitive effects of COVID-19 infection are not yet fully understood. Given the widespread and ongoing nature of this pandemic, this remains an important focus of further investigation, especially within the context of potential long-term complications.

Engaging Patients in Atrial Fibrillation Management via Digital Health Technology: The Impact of Tailored Messaging.

Patients with atrial fibrillation (AF) demonstrate persistent knowledge gaps regarding their condition and a substandard adherence to oral anticoagulant (OAC) medication, which contribute to thromboembolic stroke and other clot-related complications. Tailored patient education and medication reminders may help reduce these negative health outcomes. We sought to improve disease knowledge and medication adherence among a sample of AF patients using tailored education and nudges. The intervention leveraged three digital health technologies: a patient portal, an electronic-prescribing data feed, and a smart pill bottle. The content of the educational messaging, nudges, and cadence were tailored according to findings from our user-centered design studies and delivered via a patient portal (MyChart®; Epic Systems, Verona, WI, USA), with which participants were familiar. In a six-month randomized controlled trial with parallel groups, we used MyChart® to send educational messages and medication reminders according to a decision tree that emerged from our prior user-centered design studies. The intervention group demonstrated higher AF knowledge at study completion than the control group and more MyChart® logins throughout the trial, suggesting intervention uptake. Women were more adherent than men and patients diagnosed more than one year ago were more adherent than those with more recent diagnoses. The intervention and control group adherence rates were 93.1% and 89.5%, respectively; intervention effect was moderated by age, medication type, and prior MyChart® use. Within the intervention group, younger patients, those taking once-daily rivaroxaban, and those who were less active MyChart® users prior to the study benefited relative to their control group counterparts. Tailored educational and reminder messages contributed to increased adherence and disease knowledge among AF patients, though certain patient characteristics moderated the intervention's effectiveness. Technology-based health interventions can be useful for older adults with effective tailoring and training.

Medication adherence for atrial fibrillation patients: triangulating measures from a smart pill bottle, e-prescribing software, and patient communication through the electronic health record.

OBJECTIVE: Our primary objectives were to examine adherence rates across two technologies (e-prescribing software and smart pill bottle) with cross-validation from alert-triggered messaging within the patient electronic health record (EHR) portal and to explore the benefits and challenges faced by atrial fibrillation (AF) patients in using a smart pill bottle. MATERIALS AND METHODS: We triangulated the rate of oral anticoagulant medication adherence among 160 AF patients over 6 months using an EHR in combination with data from the AdhereTech© Wireless Smart Pill Bottle and Surescripts©. In addition, we collected qualitative feedback on patients' Smart Pill Bottle usage through structured interviews with 153 participants. RESULTS: Patients maintained an average adherence rate of 90.0% according to the smart pill bottle; however, when dose misses were calibrated based on patient or provider feedback, the adjusted adherence was 93.6%. Surescripts adherence rates for refills were 92.2%. Participants generally found the bottle easy to operate but suggested that its size and functionality did not fit seamlessly into their existing routine, as many used weekly pill organizers to manage multiple medications. DISCUSSION: Though each method of tracking adherence has positive and negative attributes, combining them and seeking patient feedback may help capture a more accurate adherence rate than any single technological intervention. Technologies may have different design considerations for research and consumer use. CONCLUSION: Overall, these technologies provide useful but imperfect adherence data for research purposes, and smart pill bottles could be improved with patient-centered design. LAY SUMMARY: Medication adherence is very important for those with chronic health issues. For those with heart disease, medication adherence not only offers opportunities for improving quality of life, but it also can be life-saving. Nonetheless, many patients with heart disease, including those with atrial fibrillation (the target group for this study) do not take their medications regularly. As technologies advance, there is unprecedented opportunity to track patients' medication adherence through various methods, which might provide motivation and information to patients as they make daily choices about medication use. In this study, we cross-referenced the results of two of these measures over 6 months-a smart pill bottle, which we used to track pill bottle openings, and e-prescribing software, which we used to track medication refills. We also supplemented these measures with nurse-patient communication via the EHR messaging portal to record exceptions (eg, travel and medication changes) and interviewed patients about their medication use during the 6-month trial. Overall, the tracking technologies worked relatively well to track patient (n = 160) medication behavior; however, they did not capture exceptions. Hence, triangulating data from different sources, with a patient feedback loop, appears critical for gathering accurate data on medication adherence.

Can nurses help improve self-care of patients living with atrial fibrillation? A focus group study exploring patients' disease knowledge gaps.

Aims: To identify knowledge gaps and preferences for educational material to improve nurse-patient communication and self-care. Design: Using a mixed-methods design, we conducted focus groups and quantitative surveys. Methods: We conducted three focus groups with atrial fibrillation (AF) patients and support persons (N = 17 participants; 66 ± 16 years) at critical treatment junctures (recent diagnosis or medication switch). Patients and support persons were also surveyed on patient activation (self-management skills and knowledge), medication adherence, AF knowledge and health literacy. Iterative thematic analysis was performed using focus group transcripts. Results: Although most participants had adequate health literacy, most reported gaps in AF knowledge. Participants lacked disease-related knowledge and were unsure how to manage health behaviours (e.g. diet and exercise). Few felt they received adequate education from their healthcare provider. Results emphasize the need for consistent information from nursing staff, in lay language, via both electronic and printed means.

Involving patients as key stakeholders in the design of cardiovascular implantable electronic device data dashboards: Implications for patient care.

BACKGROUND: Data from remote monitoring (RM) of cardiovascular implantable electronic devices (CIEDs) currently are not accessible to patients despite demand. The typical RM report contains multiple pages of data for trained technicians to read and interpret and requires a patient-centered approach to be curated to meet individual user needs. OBJECTIVE: The purpose of this study was to understand which RM data elements are important to patients and to gain design insights for displaying meaningful data in a digital dashboard. METHODS: Adults with implantable cardioverter-defibrillators (ICDs) and pacemakers (PMs) participated in this 2-phase, user-centered design study. Phase 1 included a card-sorting activity to prioritize device data elements. Phase 2 included one-on-one design sessions to gather insights and feedback about a visual display (labels and icons). RESULTS: Twenty-nine adults (mean age 71.8 ± 11.6 years; 51.7% female; 89.7% white) participated. Priority data elements for both ICD and PM groups in phase 1 (n = 19) were related to cardiac episodes, device activity, and impedance values. Recommended replacement time for battery was high priority for the PM group but not the ICD group. Phase 2 (n = 10) revealed that patients would like descriptive, nontechnical terms to depict the data and icons that are intuitive and informative. CONCLUSION: This user-centered design study demonstrated that patients with ICDs and PMs were able to prioritize specific data from a comprehensive list of data elements that they had never seen before. This work contributes to the goal of sharing RM data with patients in a way that optimizes the RM feature of CIEDs for improving patient outcomes and clinical care.

Patient responses to daily cardiac resynchronization therapy device data: A pilot trial assessing a novel patient-centered digital dashboard in everyday life.

Background: Heart failure (HF) is a growing public health problem in the United States. Implantable cardiac resynchronization therapy (CRT) devices reduce mortality and morbidity, and remote monitoring (RM) of these devices improves outcomes. However, patient RM adherence is low, due in part to lack of access to their RM data. Providing these data to patients may increase engagement, but they must be appropriately tailored to ensure understanding. Objective: The purpose of this study was to examine patients' experiences interacting with their RM data through a novel digital dashboard as part of daily life. Methods: In this mixed-methods pilot study, 10 patients with implantable CRT defibrillators were given access to a patient-centered RM data dashboard, updated daily for 6-12 months. Pre- and post-health literacy, engagement, electronic portal (MyChart, Epic Systems Corporation) logins, and RM adherence were measured; system usability scores were collected at exit; and dashboard views were tracked. Exit interviews were conducted to elucidate patients' experiences. Results: Participants (100% white; 60% male; age 34-80 years [mean ± SD: 62.0 ± 13.4]) had adequate health literacy, increased MyChart logins (P = .0463), and nonsignificant increase in RM adherence. Participants viewed their dashboards 0-42 times (mean 14.9 ± 12.5). Interviews revealed participants generally appreciated access to their data, understood it, and responded to changes; however, questions and concerns remained regarding data interpretation and visualization. Conclusion: Preliminary findings support potential future integration of a CRT RM data dashboard in the daily care of HF patients. With appropriate informational support and personalization, sharing RM data with patients in a tailored dashboard may improve health engagement.

Visualization of Cardiac Implantable Electronic Device Data for Older Adults Using Participatory Design.

Patients with heart failure (HF) are commonly implanted with cardiac resynchronization therapy (CRT) devices as part of their treatment. Presently, they cannot directly access the remote monitoring (RM) data generated from these devices, representing a missed opportunity for increased knowledge and engagement in care. However, electronic health data sharing can create information overload issues for both clinicians and patients, and some older patients may not be comfortable using the technology (i.e., computers and smartphones) necessary to access this data. To mitigate these problems, patients can be directly involved in the creation of data visualization tailored to their preferences and needs, allowing them to successfully interpret and act upon their health data. We held a participatory design (PD) session with seven adult patients with HF and CRT device implants, who were presently undergoing RM, along with two informal caregivers. Working in three teams, participants used drawing supplies and design cards to design a prototype for a patient-facing dashboard with which they could engage with their device data. Information that patients rated as a high priority for the "Main Dashboard" screen included average percent pacing with alerts for abnormal pacing, other device information such as battery life and recorded events, and information about who to contact with for data-related questions. Preferences for inclusion in an "Additional Information" display included a daily pacing chart, health tips, aborted shocks, a symptom list, and a journal. These results informed the creation of an actual dashboard prototype which was later evaluated by both patients and clinicians. Additionally, important insights were gleaned regarding the involvement of older patients in PD for health technology.

Teens Using Screens for Help: Impact of Suicidal Ideation, Anxiety, and Depression Levels on Youth Preferences for Telemental Health Resources.

BACKGROUND: High rates of mental illness, stress, and suicidality among teens constitute a major public health concern in the United States. However, treatment rates remain low, partially because of barriers that could be mitigated with tech-based telemental health (TMH) resources, separate from or in addition to traditional care. OBJECTIVE: This study aimed to analyze TMH resource usage by high school students to establish current user characteristics and provide a framework for future development. METHODS: A total of 2789 students were surveyed regarding demographics, recent anxiety and depression symptoms, suicidality, and stress; people with whom they could openly and honestly discuss stress or problems, and prior TMH use. Logistic regression models and a general linear model were used to test relationships between variables. RESULTS: Overall, 30.58% (853/2789) and 22.91% (639/2789) of students reported moderate to severe anxiety and depression symptoms, respectively, in the past 2 weeks; 16.24% (414/2550) had seriously considered suicide in the past year, consistent with national averages. Meanwhile, 16.03% (447/2789) of students had previously used at least 1 of 4 types of TMH resources (ie, self-help, anonymous chat, online counselor, or crisis text line). Teens reporting depression symptoms, higher stress, or suicidality were less likely to talk to a parent about stress or problems and more likely to tell no one. Suicidality was related to the use of all 4 types of TMH resources. Depression symptoms were related to the use of anonymous chat and crisis text line, and those with higher stress were more likely to have used an online counselor. Those reporting anxiety symptoms were less likely to have no one to talk to and more likely to have used a self-help resource. CONCLUSIONS: Youth struggling with mental health symptoms, some of whom lack real-life confidants, are using existing TMH support, with resource preferences related to symptoms. Future research should consider these preferences and assist in the creation of specialized, evidence-based TMH resources.

Sexting Coercion as a Component of Intimate Partner Polyvictimization.

We examined the role of sexting coercion as a component of the intimate partner abuse (IPA) construct among young adults to determine whether sexting coercion would emerge alongside other forms of partner aggression as a cumulative risk factor for psychological, sexual, and attachment problems. In a sample of 885 undergraduates (301 men and 584 women), 40% had experienced some type of coercion. Although there was some overlap between sexual coercion and sexting coercion (21% of participants had experienced both), some individuals had experienced only sexting coercion (8%) and some only sexual coercion (11%). Women were more likely than men to be coerced into sexting. Both sexting coercion and sexual coercion were significantly and independently related to negative mental health symptoms, sexual problems, and attachment dysfunction, and, notably, sexting coercion was found to be a cumulative risk factor for nearly all of these negative effects. These data support the idea that digital sexual victimization is a new component of IPA polyvictimization, potentially increasing the negative effects experienced by victims of multiple forms of partner aggression.

Quantitative profiling of CpG island methylation in human stool for colorectal cancer detection.

PURPOSE: The aims of this study were to investigate the use of quantitative CGI methylation data from stool DNA to classify colon cancer patients and to relate stool CGI methylation levels to those found in corresponding tissue samples. METHODS: We applied a quantitative methylation-specific PCR assay to determine CGI methylation levels of six genes, previously shown to be aberrantly methylated during colorectal carcinogenesis. Assays were performed on DNA from biopsies of "normal" mucosa and stool samples from 57 patients classified as disease-free, adenoma, or cancer by endoscopy, and in tumour tissue from cancer patients. Additionally, CGI methylation was analysed in stool DNA from an asymptomatic population of individuals covering a broad age range (mean = 47 ± 24 years) RESULTS: CGI methylation levels in stool DNA were significantly higher than in DNA from macroscopically normal mucosa, and a significant correlation between stool and mucosa was observed for ESR1 only. Multivariate statistical analyses using the methylation levels of each CGI in stool DNA as a continuous variable revealed a highly significant (p = 0.003) classification of cancer vs. non-cancer (adenoma + disease-free) patients (sensitivity = 65 %, specificity = 81 %). CONCLUSION: CGI methylation profiling of stool DNA successfully identified patients with cancer despite the methylation status of CGIs in stool DNA not generally reflecting those in DNA from the colonic mucosa.

Cryptic EWSR1-FLI1 fusions in Ewing sarcoma: potential pitfalls in the diagnostic use of fluorescence in situ hybridization probes.

Detection of EWSR1 translocations - particularly t(11;22)(q24;q12) - is of great value in the differential diagnosis of the Ewing family of tumors. We report two cases that highlight the problems and pitfalls of identifying Ewing tumors using conventional chromosome analysis and a commercial EWSR1 fluorescence in situ hybridization (FISH) probe. In both cases, the tumor karyotype was abnormal, but a visible t(11;22)(q24;q12) was not present. The commercial EWSR1 "break-apart" probe was not split in either case. Reverse-transcriptase polymerase chain reaction (RT-PCR) analysis, however, identified EWSR1-FLI1 fusion transcripts in both tumors, and the gene fusions were corroborated by FISH analysis with "in house" probes and confirmed by sequencing RT-PCR products. The occurrence of cryptic EWSR1-FLI1 fusions mandates that RT-PCR should be performed, particularly in those cases in which the genetic findings are not in agreement with the histologic picture.