Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research.

Over the past quarter-century, mobile health (mHealth) technologies have experienced significant changes in adoption rates, adaptation strategies, and instances of abandonment. Understanding the underlying factors driving these trends is essential for optimizing the design, implementation, and sustainability of interventions using these technologies. The evolution of mHealth adoption has followed a progressive trajectory, starting with cautious exploration and later accelerating due to technological advancements, increased smartphone penetration, and growing acceptance of digital health solutions by both health care providers and patients. However, alongside widespread adoption, challenges related to usability, interoperability, privacy concerns, and socioeconomic disparities have emerged, necessitating ongoing adaptation efforts. While many mHealth initiatives have successfully adapted to address these challenges, technology abandonment remains common, often due to unsustainable business models, inadequate user engagement, and insufficient evidence of effectiveness. This paper utilizes the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) framework to examine the interplay between the academic and industry sectors in patterns of adoption, adaptation, and abandonment, using 3 major mHealth innovations as examples: health-related SMS text messaging, mobile apps and wearables, and social media for health communication. Health SMS text messaging has demonstrated significant potential as a tool for health promotion, disease management, and patient engagement. The proliferation of mobile apps and devices has facilitated a shift from in-person and in-clinic practices to mobile- and wearable-centric solutions, encompassing everything from simple activity trackers to advanced health monitoring devices. Social media, initially characterized by basic text-based interactions in chat rooms and online forums, underwent a paradigm shift with the emergence of platforms such as MySpace and Facebook. This transition ushered in an era of mass communication through social media. The rise of microblogging and visually focused platforms such as Twitter(now X), Instagram, Snapchat, and TikTok, along with the integration of live streaming and augmented reality features, exemplifies the ongoing innovation within the social media landscape. Over the past 25 years, there have been remarkable strides in the adoption and adaptation of mHealth technologies, driven by technological innovation and a growing recognition of their potential to revolutionize health care delivery. Each mobile technology uniquely enhances public health and health care by catering to different user needs. SMS text messaging offers wide accessibility and proven effectiveness, while mobile apps and wearables provide comprehensive functionalities for more in-depth health management. Social media platforms amplify these efforts with their vast reach and community-building potential, making it essential to select the right tool for specific health interventions to maximize impact and engagement. Nevertheless, continued efforts are needed to address persistent challenges and mitigate instances of abandonment, ensuring that mHealth interventions reach their full potential in improving health outcomes and advancing equitable access to care.

Intersections of Climate Change with Food Systems, Nutrition, and Health: An Overview and Evidence Map.

Scientific research linking climate change to food systems, nutrition, and nutrition-related health (FSNH) has proliferated, showing bidirectional and compounding dependencies that create cascading risks for human and planetary health. Within this proliferation, it is unclear which evidence to prioritize for action and which research gaps, if filled, would catalyze the most impact. We systematically searched for synthesis literature (i.e., reviews) related to FSNH published after 1 January, 2018. We screened and extracted characteristics of these reviews and mapped them in an interactive Evidence and Gap Map (EGM) supplemented by expert consultation. Eight hundred forty-four synthesis reports met inclusion criteria (from 2739 records) and were included in the EGM. The largest clusters of reports were those describing climate impacts on crop and animal-source food production and emissions from such (86%). Comparatively few reports assessed climate change impacts on nutrition-related health or food manufacture, processing, storage, and transportation. Reports focused on strategies of climate adaptation (40%), mitigation (29%), both (19%), or none (12%). Only 1 quarter of reports critically evaluated equity (25%), and fewer reports suggested that changes to equity and equitable practices would alter climate-FSNH dynamics (6%). The expert consultation mirrored the results of the EGM and contextualized findings further. This novel map describes a wide research landscape linking climate change to FSNH. We identified 4 key research gaps: 1) research on whole food systems or postharvest elements; 2) research evaluating relationships between climate change and nutrition-related health outcomes, especially among vulnerable populations; 3) promising methods (and additional data required) that can i) identify inflection points or levers for intervention, ii) incorporate complex dynamics and characterize trade-offs, iii) be understood and applied in context-specific, localized ways for decision making; and 4) research undertaken through interdisciplinary collaborations that enables producing and translating evidence to action, especially those that inherently consider coproduction and fairness.

Harnessing technology to improve sleep in frontline healthcare workers: A pilot study of electronic noise-masking earbuds on subjective and objective sleep measures.

Objective: This pilot study assessed the effects of electronic noise-masking earbuds on subjective sleep perception and objective sleep parameters among healthcare workers (HCWs) reporting sleep difficulties during the COVID-19 pandemic. Methods: Using a pre-post design, 77 HCWs underwent 3 nights of baseline assessment followed by a 7-night intervention period. Participants wore an at-home sleep monitoring headband to assess objective sleep measures and completed subjective self-report assessments. The difference in mean sleep measures from baseline to intervention was estimated in linear mixed models. Results: Compared to baseline assessments, HCWs reported significant improvements in sleep quality as measured by the Insomnia Severity Index (ISI) (Cohen's d = 1.74, p < 0.001) and a significant reduction in perceived sleep onset latency (SOL) during the intervention (M = 17.2 minutes, SD = 7.7) compared to baseline (M = 24.7 minutes, SD = 16.1), (Cohen's d = -0.42, p = 0.001). There were no significant changes in objective SOL (p = 0.703). However, there was a significant interaction between baseline objective SOL (<20 minutes vs >20 minutes) and condition (baseline vs intervention) (p = 0.002), such that individuals with objective SOL >20 minutes experienced a significant decrease in objective SOL during the intervention period compared to baseline (p = 0.015). Conclusions: HCWs experienced a significant improvement in perceived SOL and ISI scores after using the electronic noise-masking earbuds. Our data provide preliminary evidence for a nonpharmacological intervention to improve the sleep quality of HCWs which should be confirmed by future controlled studies.

"This is real", "this is hard" and "I'm not making it up": Experience of diagnosis and living with non-epileptic attack disorder.

PURPOSE: To use a qualitative research approach to explore adults' experience of living with non-epileptic attack disorder. OBJECTIVE: The objective was to explore the experience of adults (18 years+) with a confirmed diagnosis of non-epileptic attack disorder (NEAD) across the trajectory of the disorder. The topics investigated included the onset of symptoms, the experience of non-epileptic attacks, the diagnostic process and living with NEAD. METHOD: Twelve people diagnosed with NEAD who attended a tertiary hospital neurology department took part in semi-structured interviews. The data generated were analysed using reflexive thematic analysis. RESULTS: Eleven women and one man with median age of 25 years took part. Three themes were developed: mind-body (dis)connect, a stigmatised diagnosis and a role for containment. Adults spoke about their experience of nonepileptic attacks, the diagnostic and management process and the impact of both nonepileptic attacks and the NEAD diagnosis on their lives. CONCLUSIONS: Adults' experience's within the healthcare system across the trajectory of NEAD influenced their own understanding and trust in their NEAD experience, how they shared this with others in their social and work lives and how they managed their NEAD symptoms on a daily basis. The research suggests the need for a consistent, timely implementation of a rule-in diagnostic approach and multi-disciplinary management of NEAD. It is recommended that lessons be taken from theoretical models including the common-sense model and a modified version of the reattribution model to support the de-stigmatisation of this diagnosis to inform psychoeducation and professionally facilitated peer-support groups.

Communicating Patient Discharge Readiness: An Implementation Evaluation in an Inpatient Hospital Medicine Setting.

BACKGROUND: The progression of patients through a hospital from admission to discharge can be slowed by delays in patient discharge, increasing pressure on health care staff. We designed and piloted the Discharge Today tool, with the goal of improving the efficiency of patient discharge; however, adoption remained low. PURPOSE: To close this implementation gap, we deployed and evaluated a 4-part implementation strategy bundle. METHODS: We measured the success of implementation by evaluating validated implementation outcomes using both quantitative and qualitative methods, grounded in Normalization Process Theory. RESULTS: The implementation strategies used were effective for increasing use of the Discharge Today tool by hospital medicine physicians and advanced practice providers during both the active and passive implementation periods. CONCLUSIONS: While the implementation strategies used were effective, qualitative findings indicate that limitations in the functionality of the tool, alongside inconsistent use of the tool across clinical staff, continued to inhibit adoption.

Reduction of Environmental Pollutants and Travel Burden Through an Academic Medical Center-based Electronic Consultation Program.

Background: We evaluated the impact of electronic consultation (eConsult) in reducing the environmental pollutants associated with health care delivery. Methods: A retrospective analysis of the eConsult data between July 2018 and December 2022 was extracted from the electronic health record (Epic). Travel time and mileage from the patient home to the academic medical center (AMC) were calculated along with fuel expenditure and greenhouses gas savings. Projected savings through the end of the decade were forecast using a random walk model. Results: A total of 15,499 eConsults were submitted to AMC specialist providers from community primary care providers. Completed eConsults (n = 11,590) eliminated the need for a face-to-face visit with a specialist provider, eliminating mileage, fuel, time, and pollutants associated with face to face visits. In-state travel distance saved was 310,858 miles, travel time saved was 5,491 h, with an associated fuel reduction of 13,575 gallons and $56,893 savings. This reduced greenhouse gas emissions by 128 metric tons of carbon dioxide, 0.022 tons of nitrogen oxide, 0.005 tons of methane, and 0.001 tons of nitrous oxide. Out of state travel distance saved was 188,346 miles with 2,842 h reduced travel time, and associated fuel reduction of 8,225 gallons and of $34,118. Reduced greenhouse gas emissions were equivalent to 77 metric tons of carbon dioxide, 0.0132 tons of nitrogen oxide, 0.0033 tons of methane, and 0.0007 tons of nitrous oxide. Conclusion: This study indicates that medical care provided through telehealth modalities reduces the environmental impact of pollutants associated with face to face visits.

Longitudinal mental health trends in cystic fibrosis.

BACKGROUND: Mental health screening in accordance with consensus guidelines became routine clinical practice in our cystic fibrosis (CF) Center in 2015. We hypothesized improvement in anxiety and depression symptoms over time and associations between elevated screening scores and disease severity. We aimed to observe the impact of the COVID-19 pandemic and modulator use on mental health symptoms. METHODS: Retrospective chart reviews were conducted for people 12 years and older with at least one Generalized Anxiety Disorder-7 (GAD-7) or Patient Health Questionnaire-9 (PHQ-9) screening for six years. Descriptive statistics were used to summarize demographic variables and logistic regression and linear mixed models were used to evaluate the relationship between screening scores and clinical variables. RESULTS: Analyses included 150 participants (ages 12-22 years). The percentage of minimal to no symptom scores increased over time for anxiety and depression. Increased mental health visits and CFRD were associated with higher PHQ-9 and GAD-7 scores. Higher FEV1pp was associated with lower GAD-7 and PHQ-9 scores. More effective modulator use was associated with lower PHQ-9 scores. Mean PHQ-9 and GAD-7 scores were not significantly different when comparing pre-pandemic and pandemic scores. CONCLUSION: Disruptions in screening during the pandemic were minimal and symptom scores remained stable. Individuals with higher mental health screening scores were more likely to have CFRD and utilization of mental health services. Consistent mental health monitoring and support is needed so individuals with CF can endure anticipated and unanticipated stressors including changes in physical health, healthcare, and societal stressors such as COVID-19 pandemic.

Development and Evaluation of an Enzyme-Linked Immunosorbent Assay Targeting Rabies-Specific IgM and IgG in Human Sera.

Immunity from rabies depends on rabies virus neutralizing antibodies (RVNA) induced after immunization; however, the influence of antibody isotype switching has not been extensively investigated. This has become particularly relevant with changes in World Health Organization (WHO) recommended rabies vaccine regimens that may influence RVNA isotype kinetics, potentially affecting the peak, and longevity, of RVNA immunoglobulin (IgG) levels. We developed rapid and reliable assays for quantifying the anti-rabies IgM/IgG class switch in human serum based on an indirect ELISA technique. The immune response was tracked in ten individuals naïve to the rabies vaccine by quantifying serum titers weekly, from day seven to day 42 post-immunization, using a serum neutralization assay and the ELISA IgM/IgG assays. The average RVNA IU/mL levels were at D0 ≤ 0.1, D7 0.24, D14 8.36, D21 12.84, D28 25.74 and D42 28.68. Levels of specific IgM antibodies to rabies glycoprotein (EU/mL) were higher, on average, at D7, 1.37, and from D14, 5.49, to D21, 6.59. In contrast, average IgG antibodies (EU/mL) predominated from D28, 10.03, to D42, 14.45. We conclude that levels of anti-rabies IgM/IgG at D28 characterize the isotype class switch. These assays, combined with serum neutralization assays, distinguished the RVNA levels in terms of the IgM/IgG responses and are expected to add to the diagnostic repertoire, provide additional information in establishing rabies vaccine regimens, both post- and pre-exposure prophylaxis, and contribute to research efforts.

Isolation and characterization of mammalian orthoreovirus from bats in the United States.

Mammalian orthoreovirus (MRV) infects many mammalian species including humans, bats, and domestic animals. To determine the prevalence of MRV in bats in the United States, we screened more than 900 bats of different species collected during 2015-2019 by a real-time reverse-transcription polymerase chain reaction assay; 4.4% bats tested MRV-positive and 13 MRVs were isolated. Sequence and phylogenetic analysis revealed that these isolates belonged to four different strains/genotypes of viruses in Serotypes 1 or 2, which contain genes similar to those of MRVs detected in humans, bats, bovine, and deer. Further characterization showed that these four MRV strains replicated efficiently on human, canine, monkey, ferret, and swine cell lines. The 40/Bat/USA/2018 strain belonging to the Serotype 1 demonstrated the ability to infect and transmit in pigs without prior adaptation. Taken together, this is evidence for different genotypes and serotypes of MRVs circulating in US bats, which can be a mixing vessel of MRVs that may spread to other species, including humans, resulting in cross-species infections.