Case study: providing evidence-based behavioral and nutrition treatment to a toddler with cystic fibrosis and multiple food allergies via telehealth

Barriers to successful outcome for cystic fibrosis (CF) therapies can include distance from a CF care center, co-morbid conditions that require individualized alterations to the prescribed treatment, and patient-provider interactions, among others. We present the case of a 21-month-old female with CF for whom modifications of an efficacious behavioral and nutrition treatment were made due to food allergies and distance from the CF care center. She was classified as at-risk nutritionally. Following treatment a significant increase in energy intake (calories) was observed in addition to her meeting weight and height growth rates for a child of this age and gender who is growing normally at the 50th percentile.     

Home telehealth for diabetes management: a systematic review and meta-analysis

Aim: It is estimated that more than 180 million people worldwide have diabetes. Health-care providers can remotely deliver health services to this patient population using information and communication technology, also known as home telehealth. Home telehealth may be classified into two subtypes: home telemonitoring (HTM) and telephone support (TS). The research objective was to systematically review the literature and perform meta-analyses to assess the potential benefits of home telehealth compared with usual care (UC) for patients with diabetes.
Methods: An electronic literature search was conducted to identify studies on home telehealth and patients with diabetes that were published between 1998 and 2008 using Medline, Medline In-Process & Other Non-Indexed Citations, BIOSIS Previews and EMBASE.
Results: Twenty-six studies (n = 5069 patients) on home telehealth for diabetes were selected. Twenty-one studies evaluated HTM and 5 randomized controlled trials assessed TS. HTM had a positive effect on glycaemic control [as measured by lower glycated haemoglobin level] compared with UC (weighted mean difference =−0.21; 95% confidence interval −0.35 to −0.08), but the results were mixed for TS. Study results indicated that home telehealth helps to reduce the number of patients hospitalized, hospitalizations and bed days of care. Home telehealth was similar or favourable to UC across studies for quality-of-life and patient satisfaction outcomes.
Conclusions: In general, home telehealth had a positive impact on the use of numerous health services and glycaemic control. More studies of higher methodological quality are required to give more precise insights into the potential clinical effectiveness of home telehealth interventions.     

Medical models of teleoncology: Current status and future directions

Teleoncology has been adopted by many centers to provide cancer care closer to home for rural, remote, Indigenous and other disadvantaged people of our communities. A variety of medical models of teleoncology exist to provide various medical oncology services. While most centers use teleoncology to complement their face‐to‐face outreach services, some centers have replaced face‐to‐face with teleoncology models. Selection of patients and scheduling of clinics would depend on various factors including experience of the clinicians, complexity of treatment provided, capabilities and workforce of rural sites, and patient preferences. Many small studies reported high satisfaction rates of these models among patients and health professionals including Indigenous populations. One single center study reports that it is safe to supervise chemotherapy delivery remotely and many studies report cost savings to the health systems. Further studies on safety aspects of teleoncology are needed to further improve the current models. Future teleoncology models would need to include Web‐based models, mobile technologies and remote chemotherapy supervision models so that patients from most rural towns could have at least some of their cancer care closer to home.     

Protocol for Telehealth Evaluation and Follow-up of Patients With Chronic Heart Failure During the COVID-19 Pandemic

Because of the Coronavirus Disease 2019 (COVID-19) pandemic, we were forced to cancel scheduled visits for nearly 150 patients followed in our heart failure (HF) outpatient clinic. Therefore, we structured a telephone follow-up, developing a standardized 23-item questionnaire from which we obtained the Covid-19-HF score. The questionnaire was built to reproduce our usual clinical evaluation investigating a patient's social and functional condition, mood, adherence to pharmacological and nonpharmacological recommendations, clinical and hemodynamic status, pharmacological treatment, and need to contact emergency services. The score was used as a clinical tool to define patients' clinical stability and timing of the following telephone contact on the basis of the assignment to progressively increasing risk score groups: green (0–3), yellow (4–8), and red (≥9).Here we present our experience applying the score in the first 30 patients who completed the 4-week follow-up, describing baseline clinical characteristics and events that occurred in the period of observation.     

Access to evidence-based care for eating disorders during the COVID-19 crisis

The COVID-19 pandemic has forced an abrupt change in the delivery of clinical services, including for individuals with an eating disorder. We present this Virtual Issue as a resource for the eating disorder community to showcase research published in the International Journal of Eating Disorders that provides information on effective strategies to help address the challenges arising from COVID-19-related disruptions. Articles included describe original research or systematic reviews on obstacles to health services use and strategies to improve access to care; technological tools to provide or enhance interventions; patients' and clinicians' attitudes or perspectives on using digital tools for clinical care; factors influencing therapeutic alliance; and ideas for improving reach and uptake of digital interventions. We hope that readers will find ways to observe and record their own experiences during this global crisis; the experiences of people at risk for developing or exhibiting an eating disorder; and the experiences of those who care for people with an eating disorder. These lived experiences will be invaluable in formulating hypotheses for future studies in service of advancing the understanding of eating disorders and improving interventions and policies for reducing the burden of suffering attributable to eating disorders.     

Telehealth transition in a comprehensive care unit for eating disorders: Challenges and long-term benefits

The 2019 novel coronavirus disease (COVID-19) pandemic has forced many eating disorder medical stabilization units to consider adjustments that uphold both the quality of care delivered to patients while also observing social distancing public health directives for patients and staff. To date, inpatient facilities for eating disorders (both medical stabilization units and higher level of care facilities) have not needed to consider how to translate services to electronic platforms, given that most of these programs have in-person staff. We outline our transition to telehealth broadly, emphasizing some unexpected benefits of using telehealth services that we plan on integrating into our work-flow post COVID-19. These may be useful for other higher level of care eating disorder programs, including medical stabilization units, residential, partial hospitalization, and intensive outpatient programs. We also highlight aspects of transition that have been more challenging for this particular patient population, warranting the need for in-person services.     

Rising to the challenges of the pandemic: Telehealth innovations in U.S. emergency departments

ObjectiveDuring the first 9 months of the coronavirus disease 2019 (COVID-19) pandemic, many emergency departments (EDs) experimented with telehealth applications to reduce virus exposure, decrease visit volume, and conserve personal protective equipment. We interviewed ED leaders who implemented telehealth programs to inform responses to the ongoing COVID-19 pandemic and future emergencies.Materials and MethodsFrom September to November 2020, we conducted semi-structured interviews with ED leaders across the United States. We identified EDs with pandemic-related telehealth programs through literature review and snowball sampling. Maximum variation sampling was used to capture a range of experiences. We used standard qualitative analysis techniques, consisting of both inductive and deductive approaches to identify and characterize themes.ResultsWe completed 15 interviews with EDs leaders in 10 states. From March to November 2020, participants experimented with more than a dozen different types of telehealth applications including tele-isolation, tele-triage, tele-consultation, virtual postdischarge assessment, acute care in the home, and tele-palliative care. Prior experience with telehealth was key for implementation of new applications. Most new telehealth applications turned out to be temporary because they were no longer needed to support the response. The leading barriers to telehealth implementation during the pandemic included technology challenges and the need for “hands-on” implementation support in the ED.ConclusionsIn response to the COVID-19 pandemic, EDs rapidly implemented many telehealth innovations. Their experiences can inform future responses.     

An evaluation of telehealth expansion in U.S. nursing homes

ObjectiveThis research brief contains results from a national survey about telehealth use reported in a random sample of U.S. nursing homes.Methods and MaterialsThe sample includes nursing homes (N = 664) that completed surveys about information technology maturity, including telehealth use, beginning January 1, 2019, and ending August 4, 2020. A pre/post design was employed to examine differences in nursing home telehealth use for nursing homes completing surveys prior to and after telehealth expansion, on March 6, 2020. We calculated a cumulative telehealth score using survey data from 6 questions about extent of nursing home telehealth use (score range 0-42). We calculated proportions of nursing homes using telehealth and used logistic regression to look for differences in nursing homes based on organizational characteristics and odds ratios.ResultsSignificant relationships were found between nursing home characteristics and telehealth use, and specifically, larger metropolitan homes reported greater telehealth use. Ownership had little effect on telehealth use. Nursing homes postexpansion used telehealth applications for resident evaluation 11.24 times more (P < .01) than did nursing homes pre-expansion.DiscussionAdministrators completing our survey reported a wide range of telehealth use, including approximately 16% having no telehealth use and 5% having the maximum amount of telehealth use. Mean telehealth use scores reported by the majority of these nursing homes is on the lower end of the range.ConclusionsOne solution for the current pandemic is to encourage the proliferation of telehealth with continued relaxed regulations, which can reduce isolation and preserve limited resources (eg, personal protective equipment) while maintaining proper distancing parameters.     

Integrating family and friend support,information technology,and diabetes education in community-centric diabetes self-management

ObjectiveDiabetes self-management (DSM) education, social support, and information technology interventions can improve patient engagement and health. A major challenge is animating, integrating, and accessing resources in under-resourced, rural communities. Set in an island community in Hawai‘i, this study piloted a program that integrated friend-and-family support, community health services, telehealth-enabled DSM education, and mobile technologies by activating the community’s social capital to support the program.Materials and MethodsAn action research approach informed the design and implementation of a community-based DSM program that included: friends and family support, telehealth classes, personalized consultations, Bluetooth-enabled blood glucose monitors, and text messaging support. Outcomes were evaluated using biometric data, surveys, interviews, and participant observations.ResultsThe study spanned 9 months with 7 dyads, each with 1 individual with type 2 diabetes and a friend or family member. Six of the 7 participants with diabetes experienced reduced hemoglobin A1c percentages, with 3 reducing by more than 1%. The seventh participant maintained a hemoglobin A1c level within American Diabetes Association recommended ranges. DSM knowledge and self-care behaviors improved overall. Interviews and participant observations highlighted program strengths and social challenges associated with the interpersonal relationships between the members of the dyads.ConclusionsA community-centric diabetes program can enhance understanding of diabetes etiology, DSM activities, and communication skills for effective disease management support in under-resourced rural communities. Social capital among community members, leveraged with health information technology, can catalyze and integrate limited health system resources for DSM and social support as a cost-effective strategy to develop community-centric chronic healthcare management initiatives.