Children and adolescents with chronic illness such as asthma, diabetes, and cancer are at the intersection of the health and education systems. At school, their health needs may be attended to by a school nurse, while their educational needs may be overlooked. This article helps school personnel become more proactive in identifying the educational implications of chronic illness in school children. The confusing array of terms used to refer to this population by health professionals and educators are clarified, and estimates of the size of the population are provided. The potential impact of some common disease processes, treatments, and medications are reviewed, as are the risks of chronic absenteeism. Suggestions for how school and health professionals can identify and work with this group of children are offered.

BackgroundThousands of mobile health (mHealth) apps have been developed to support patients’ management of their health, but the effectiveness of many of the apps remains unclear. While mHealth apps appear to hold promise for improving the self-management of chronic conditions across populations, failure to balance the system demands of the app with the needs, interests, or resources of the end users can undermine consumers’ adoption of these technologies.ObjectiveThe original aim of this study was to evaluate the effectiveness of a commercial mHealth app in improving clinical outcomes for adult patients in a Federally Qualified Health Center (FQHC) with uncontrolled diabetes and/or hypertension. Patients entered clinical data into the app, which also supported messaging between patients and providers. After a 4-month period of vigorous recruitment, the trial was suspended due to low enrollment and inconsistent use of the app by enrolled patients. The project aim was changed to understanding why the trial was unsuccessful.MethodsWe used the user-task-context (eUTC) usability framework to develop a set of interview questions for patients and staff who were involved in the trial. All interviews were done by phone and lasted 20 to 30 minutes. Interviews were not recorded.ResultsThere was a poor fit between the app, end users, and recruitment and treatment approaches in our setting. Usability testing might have revealed this prior to launch but was not an option. There was not sufficient time during routine care for clinical staff to familiarize patients with the app or to check clinical data and messages, which are unreimbursed activities. Some patients did not use the app appropriately. The lack of integration with the electronic health record (EHR) was cited as a problem for both patients and staff who also said the app was just one more thing to attend to.ConclusionsThis brief trial underscores the pitfalls in the utilization of mHealth apps. Effective use of mHealth tools requires a good fit between the app, the users’ electronic health (eHealth) literacy, the treatment approach, staff time, and reimbursement for services. The last 3 are contextual factors of the setting that affected the adoption of the app and context is an important factor in implementation science. We recommend that researchers address contextual factors in the trial and adoption of mHealth technologies.

An estimated 40% of children and adolescents with chronic health conditions such as cancer, diabetes, and hemophilia, experience school-related problems. Many children living with a chronic illness do not need or may not qualify for traditional special education programs, yet they may have unmet learning needs associated with chronic absenteeism, disease symptoms, or side effects of medical treatments. Using principles of family-centered schools, a coalition of schools, families, pediatricians, and nurses can work cooperatively to help students with chronic conditions succeed. This article describes the second phase of an ongoing initiative designed to support public schools in their efforts to meet the health and education needs of students with chronic health conditions.

Introduction/Objectives Project ECHO COVID-19 was launched nationwide on March 4, 2020 to disseminate guidance about COVID-19 in a timely and scalable manner to meet the urgent needs of primary care settings, the first line of defense in a pandemic. Methods Data from post-session surveys were analyzed to assess participant satisfaction, knowledge gaps, change in knowledge, and anticipated changes in practice as a result of Project ECHO COVID-19. A content analysis was conducted of the 243 questions and concerns posted by over 2000 participants in the Question and Answer function of Zoom during the first 8 sessions (March 4-April 29, 2020). Results Of 5243 registrants, 49% attended at least one session. Respondents agreed or strongly agreed that didactic sessions (97%) and case presentations (96%) met their learning needs; 93% reported gaining new knowledge, and 88% would implement that knowledge. Only 32% and 53% of respondents anticipated changing workflows and adapting to telehealth, respectively, despite the need for both as the pandemic continued. The content analysis identified 3 categories: clinical operations (eg, testing, triage, telehealth, billing); patient care (diagnosis and treatment of COVID-19, management of high-risk vulnerable populations); and epidemiology (viral spread, implications for public health). Conclusions Care of vulnerable populations and clinical operations should be addressed when planning education and clinical interventions for public health crises. Adapting the Project ECHO model to be more scalable was an effective means of creating a community of practice among health professionals when evidence-based guidance was not available to manage the implications of a pandemic.

Introduction: Previous studies of the same Project ECHO Chronic Pain cohort demonstrated that recommendations to primary care providers (PCPs) by expert faculty follow CDC Guidelines for Prescribing Opioids and that participating PCPs change their practice accordingly. The purpose of this study was to identify how expert faculty translates knowledge, so that PCPs can act on it. Methods: One hundred ninety-seven PCPs from 82 practices in 14 states attended at least one Project ECHO Chronic Pain session over 10 months, hosted by a large federally qualified health center. Expert faculty was a multidisciplinary panel of six clinicians. Recommendations for 25 randomly selected case presentations were transcribed, yielding 406 discrete units of data. A thematic analysis contributed to a concept map for knowledge translation. Results: Expert faculty addressed psychosocial issues in 40% of recommendations. Three themes represented a familiar clinical decision-making process: recommendations for treatment accounted for risk factors and patient engagement and behavior. A concept map placed the recommendations for selected cases in the first phase of the action cycle in the Knowledge-to-Action framework, where knowledge is shared but not yet acted on. Discussion: Project ECHO Chronic Pain is an example of iterative guided practice, wherein expert faculty use published guidelines and professional experience to make recommendations for patient care to PCPs. This occurs using shared social–cultural–historical language and context consistent with social constructivist theories of learning.