Engagement With mHealth COVID-19 Digital Biomarker Measurements in a Longitudinal Cohort Study: Mixed Methods Evaluation.

BACKGROUND: The COVID-19 pandemic accelerated the interest in implementing mobile health (mHealth) in population-based health studies, but evidence is lacking on engagement and adherence in studies. We conducted a fully remote study for ≥6 months tracking COVID-19 digital biomarkers and symptoms using a smartphone app nested within an existing cohort of adults. OBJECTIVE: We aimed to investigate participant characteristics associated with initial and sustained engagement in digital biomarker collection from a bespoke smartphone app and if engagement changed over time or because of COVID-19 factors and explore participants' reasons for consenting to the smartphone substudy and experiences related to initial and continued engagement. METHODS: Participants in the Fenland COVID-19 study were invited to the app substudy from August 2020 to October 2020 until study closure (April 30, 2021). Participants were asked to complete digital biomarker modules (oxygen saturation, body temperature, and resting heart rate [RHR]) and possible COVID-19 symptoms in the app 3 times per week. Participants manually entered the measurements, except RHR that was measured using the smartphone camera. Engagement was categorized by median weekly frequency of completing the 3 digital biomarker modules (categories: 0, 1-2, and ≥3 times per week). Sociodemographic and health characteristics of those who did or did not consent to the substudy and by engagement category were explored. Semistructured interviews were conducted with 35 participants who were purposively sampled by sex, age, educational attainment, and engagement category, and data were analyzed thematically; 63% (22/35) of the participants consented to the app substudy, and 37% (13/35) of the participants did not consent. RESULTS: A total of 62.61% (2524/4031) of Fenland COVID-19 study participants consented to the app substudy. Of those, 90.21% (2277/2524) completed the app onboarding process. Median time in the app substudy was 34.5 weeks (IQR 34-37) with no change in engagement from 0 to 3 months or 3 to 6 months. Completion rates (≥1 per week) across the study between digital biomarkers were similar (RHR: 56,517/77,664, 72.77%; temperature: 56,742/77,664, 73.06%; oxygen saturation: 57,088/77,664, 73.51%). Older age groups and lower managerial and intermediate occupations were associated with higher engagement, whereas working, being a current smoker, being overweight or obese, and high perceived stress were associated with lower engagement. Continued engagement was facilitated through routine and personal motivation, and poor engagement was caused by user error and app or equipment malfunctions preventing data input. From these results, we developed key recommendations to improve engagement in population-based mHealth studies. CONCLUSIONS: This mixed methods study demonstrated both high initial and sustained engagement in a large mHealth COVID-19 study over a ≥6-month period. Being nested in a known cohort study enabled the identification of participant characteristics and factors associated with engagement to inform future applications in population-based health research.

Use of Telemedicine in Pediatric Services for 4 Representative Clinical Conditions: Scoping Review.

BACKGROUND: Telemedicine is becoming routine in health care. Postpandemic, a universal return to face-to-face consultations may risk a loss of some of the advantages of telemedicine. However, rapid implementation and adoption without robust evaluation of usability, efficacy, and effectiveness could potentially lead to suboptimal health outcomes and downstream challenges to providers. OBJECTIVE: This review assesses telemedicine interventions against international guidance and sufficiency of evidence to support postpandemic utilization in pediatric settings. METHODS: This scoping review was performed following searches on PubMed, Embase, and CINAHL databases on April 15, 2021, and May 31, 2022, and examined studies focused on telemedicine, remote consultation, video call, or remote patient monitoring in children (0-18 years) receiving outpatient care for diabetes, asthma, epilepsy, or renal disease. Exclusion criteria included studies published before 2011 as the technologies used have likely been improved or replaced, studies in adult populations or where it was not possible to disaggregate data for participants younger than 18 years as the focus of the review was on pediatric care, and studies not published in English. Data were extracted by 4 authors, and the data were corroborated by a second reviewer. Studies were examined for feasibility and usability, clinical and process outcomes, and cost-effectiveness. RESULTS: Of the 3158 studies identified, 56 were suitable for final inclusion and analysis. Data on feasibility or usability of interventions (48 studies) were overwhelmingly positive in support of telemedicine interventions, with common themes including convenience, perceived cost savings, and ease of use. However, use in preference to usual care was rarely explored. Clinical and process outcome data (31 studies) were mostly positive. Across all studies, there was limited measurement of standardized clinical outcomes, although these were more commonly reported in asthma (peak flow) and diabetes (glycated hemoglobin [HbA1c]). Implementation science data generally supported cost-effectiveness of telemedicine with a reduction of health care costs. CONCLUSIONS: There is promising evidence supporting telemedicine in pediatric settings. However, there is a lack of evaluation of telemedicine in comparison with usual outpatient care for noninferiority of clinical outcomes, and this review highlights the need for a more standardized approach to evaluation of digital interventions.

Fifteen-minute consultation: public health for paediatricians-adolescent public health.

Paediatricians have a key role to play in ensuring a holistic, integrated approach is taken to meeting adolescent health needs. There is increasing evidence that failure to do so can lead to poor healthcare experience, avoidable ill health and increased need for healthcare services, both in the short term and in adult life. This article aims to guide paediatricians in answering the questions 'How well are the public health and clinical needs of the adolescent population in my area being met? And how can we improve?'

Patient monitoring and education over a tailored digital application platform for congenital heart disease: A feasibility pilot study.

BACKGROUND: Patients with adult congenital heart disease (ACHD) are a rapidly growing cardiovascular population with increasing health needs and co-morbidities. Furthermore, their management requires frequent and ongoing hospital visits which can be burdensome. Digital health and remote monitoring have been shown to have a vast potential to enhance delivery of healthcare for patients, reducing their need for travel to clinic appointments therefore reducing costs to the patient and the healthcare service. METHODS: Patients over the age of 16 with a diagnosis of ACHD were invited to use the tailored digital application too. They were monitored for a period of 6 months. Information on patient demographics, time using the application, flagged events that prompted clinical reviews and their feedback through patient surveys were collected. RESULTS: A total of 103 patients were enrolled and registered to use the digital application tool. There were 57 (56%) males, median age at the time of enrolment was 39 (16-73) years. The majority (96%) had a moderate or complex ACHD according to the ACC/AHA classification. There was a total of 7 modules that were completed on a weekly basis. The median length of a participant session was 2.2 min and the mean time to complete a module was 21 s. In total, 35 (67%) felt that the application helped them better manage their cardiac condition. Almost all (94%) of patients expressed that they would like to continue using the application beyond the pilot. There were 18 flagged events during the 6 month observation period, and 50% of received early clinical intervention. CONCLUSION: Application based remote monitoring in this select group was well received and potentially holds large benefit to patients both clinically and economically. There were no safety concerns in our pilot feasibility study. Our data may inform much needed and timely investment in digital health.

Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis.

AIM: COVID-19 clinical presentation is heterogeneous, ranging from asymptomatic to severe cases. While there are a number of early publications relating to risk factors for COVID-19 infection, low sample size and heterogeneity in study design impacted consolidation of early findings. There is a pressing need to identify the factors which predispose patients to severe cases of COVID-19. For rapid and widespread risk stratification, these factors should be easily obtainable, inexpensive, and avoid invasive clinical procedures. The aim of our study is to fill this knowledge gap by systematically mapping all the available evidence on the association of various clinical, demographic, and lifestyle variables with the risk of specific adverse outcomes in patients with COVID-19. METHODS: The systematic review was conducted using standardized methodology, searching two electronic databases (PubMed and SCOPUS) for relevant literature published between 1st January 2020 and 9th July 2020. Included studies reported characteristics of patients with COVID-19 while reporting outcomes relating to disease severity. In the case of sufficient comparable data, meta-analyses were conducted to estimate risk of each variable. RESULTS: Seventy-six studies were identified, with a total of 17,860,001 patients across 14 countries. The studies were highly heterogeneous in terms of the sample under study, outcomes, and risk measures reported. A large number of risk factors were presented for COVID-19. Commonly reported variables for adverse outcome from COVID-19 comprised patient characteristics, including age >75 (OR: 2.65, 95% CI: 1.81-3.90), male sex (OR: 2.05, 95% CI: 1.39-3.04) and severe obesity (OR: 2.57, 95% CI: 1.31-5.05). Active cancer (OR: 1.46, 95% CI: 1.04-2.04) was associated with increased risk of severe outcome. A number of common symptoms and vital measures (respiratory rate and SpO2) also suggested elevated risk profiles. CONCLUSIONS: Based on the findings of this study, a range of easily assessed parameters are valuable to predict elevated risk of severe illness and mortality as a result of COVID-19, including patient characteristics and detailed comorbidities, alongside the novel inclusion of real-time symptoms and vital measurements.

Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study.

The COVID-19 pandemic has created an urgent need for robust, scalable monitoring tools supporting stratification of high-risk patients. This research aims to develop and validate prediction models, using the UK Biobank, to estimate COVID-19 mortality risk in confirmed cases. From the 11,245 participants testing positive for COVID-19, we develop a data-driven random forest classification model with excellent performance (AUC: 0.91), using baseline characteristics, pre-existing conditions, symptoms, and vital signs, such that the score could dynamically assess mortality risk with disease deterioration. We also identify several significant novel predictors of COVID-19 mortality with equivalent or greater predictive value than established high-risk comorbidities, such as detailed anthropometrics and prior acute kidney failure, urinary tract infection, and pneumonias. The model design and feature selection enables utility in outpatient settings. Possible applications include supporting individual-level risk profiling and monitoring disease progression across patients with COVID-19 at-scale, especially in hospital-at-home settings.

The Impact of Age of Transfer on Outcomes in the Transition From Pediatric to Adult Health Systems: A Systematic Review of Reviews.

PURPOSE: International guidance on health-care transition has existed for over a decade; however, many unanswered questions remain. This systematic review of reviews aimed to answer the question: is a later age of transfer from pediatric to adult health care associated with improved health and health service outcomes? METHODS: We included systematic reviews which considered at least one long-term condition and provided outcome data from adult services. Methodology of primary studies was not an exclusion criterion. We searched multiple databases and conducted an initial search in May 2015 which was repeated in May 2017. All reviews were assessed for quality using the Revised Assessment of Multiple Systematic Reviews (R-AMSTAR) tool. Reviews that scored less than 22 were excluded. RESULTS: Initial searches identified 6,149 papers. Forty-three reviews met exclusion and inclusion criteria, and 15 reviews also met quality criteria. With one exception, primary studies from reviews which only considered quantitative evidence found that a delayed age of transfer resulted in improved outcomes. Qualitative and mixed-methods evidence supported the view that age 18 was an appropriate time of transfer. CONCLUSION: We found moderate evidence that models of transition which transfer young people in late adolescence or early adulthood can improve transition outcomes and patient satisfaction.

Surveying, shoring, strengthening: rebuilding medical morale from its foundations .

Significant uncertainty surrounds the sustainability of healthcare services in which junior doctors work. It is essential that student and foundation doctors (SFDs) are actively engaged if workforce morale is rebuilt. This narrative review explores the evidence driving the individual work-streams of the Royal College of Physicians' newly formed Student and Foundation Doctor Network. Undergraduate and postgraduate training reform has coincided with concerning feedback from newly qualified doctors. System-level efforts to address this include a focus on extra-contractual matters, where small, sustainable changes could address training and work issues.Fewer foundation year-2 doctors are entering specialty training immediately after the foundation programme. Providing dedicated careers guidance and highlighting opportunities within traditional placements and other career paths can support doctors who undertake non-traditional career routes, including those who take time out of programme.Disseminating these resources through an effective peer-to-peer framework and a well-established mentoring scheme could be the most appropriate way to spread good practice.

Experience of Primary Care Services Among Early Adolescents in England and Association With Health Outcomes.

PURPOSE: The aim of this study was to investigate adolescents' (11-15 years) experience of their general practitioner (GP), whether poor reported GP experience was associated with worse physical and mental health measures and whether poor previous GP experience was linked to lower utilization of these services. METHODS: We used logistic regression to analyze data from the 2014 Health Behaviour in School-aged Children study. Four aspects of recent care experience were studied: feeling at ease, feeling treated with respect, satisfaction with doctor's explanation, and feeling able to discuss personal matters. Five dichotomized measures of health status were used: ever self-harmed; fair or poor self-reported health; frequent (at least weekly) low mood; sleeping problems; or headaches. RESULTS: Of 5,335 students, 4,149 reported having visiting their GP within the past year. Of these, 91.8% felt treated with respect, 78.7% felt at ease, 85.7% were satisfied with explanation, and 53.9% felt able to discuss personal matters. After adjusting for ethnicity, age, gender, and family affluence score, poor experience on any indicator was strongly associated with increased risk of self-harm (adjusted odds ratio range, 2.01-2.70; all p < .001); feeling low (AOR range, 1.53-2.11; all p < .001); and sleeping problems (AOR range, 1.49-1.91; all p ≤ .001). Poor experience on all indicators, except discussing personal matters, was associated with worse self-reported health. CONCLUSIONS: Nearly half of this large, national study of adolescents did not feel able to discuss personal matters with their doctor. There was a consistent, strong association between reported lack of good GP experience and poor health measures.