Digital technologies and adherence in respiratory diseases: the road ahead

Improving Care for People with Chronic Respiratory Diseases: Taking a Policy Lens

Chronic respiratory diseases (CRDs) affect almost 470 million people worldwide, and this number is growing. CRDs take a significant toll on the capacity of health systems and economies, and their effect on people's lives can be devastating. Despite high rates of prevalence and mortality, CRDs are underprioritised by policymakers and governments. Tackling these conditions will require a holistic, multisectoral approach, including government-led strategies for prevention, diagnosis, management and investment in research. In this article, we provide a clear rationale for prioritising CRDs to advance population health. Proactive steps in countries of all income levels must be taken promptly to limit the growing prevalence and impact of CRDs both now and in the future.

A survey and analysis of inhalation medication adherence among 977 COPD patients in a region of northern China

OBJECTIVE

Inhalation therapy is recommended by the World Health Organization as the first-line treatment for chronic obstructive pulmonary disease (COPD) due to its rapid onset of action, good safety profile, ease of use, and portability. High medication adherence in COPD patients is crucial for enhancing disease management. The aim of this study was to assess the level of disease control, adherence to inhaled medication therapy, and potential factors influencing treatment adherence among COPD patients.

METHODS

A paper-based questionnaire was used to survey COPD patients who were outpatients or inpatients at the First Affiliated Hospital of Harbin Medical University between January 2019 and October 2023. Patients were included if they had been diagnosed with stable COPD for more than 12 months, were prescribed inhaled medications for post-consultation or post-discharge management, and had used these medications for at least 8 weeks with follow-up review. Questionnaires were administered at the time of consultation and at the 8-week follow-up to comprehensively evaluate patients' adherence to inhaled medications based on their medication administration methods, frequency, and other relevant factors. Categorical data were described using frequencies and percentages, and comparisons between groups were conducted using the chi-square test. For the analysis of risk factors, binary logistic regression analysis was employed. To avoid collinearity among variables, a stepwise regression method was utilized for variable selection. A P-value < 0.05 was considered statistically significant.

RESULTS

A total of 977 patients were included, with an average age of 63 ± 9 years. Among them, 40.9% of the patients demonstrated high adherence to inhaled medication therapy. Patients who were under 70 years old (P = 0.03), had a higher annual household income (P = 0.04), had family supervision (P = 0.01), and had medical insurance (P = 0.02) exhibited higher adherence to inhaled medication therapy.

CONCLUSION

Among the surveyed patients, those who were under 70 years old (OR = 5.1, CI = 1.13-23.11) and had family supervision (OR = 3.26, CI = 1.3-8.21) demonstrated better medication adherence. This suggests that physicians could potentially improve patient medication adherence, optimize disease control, and enhance the overall quality of life for these patients by considering targeted interventions, such as identifying and educating elderly patients, intensifying tailored promotional activities, and encouraging family members to supervise medication use.

Televisit with TytoHome™ device in medically complex child in long-term mechanical ventilation: a pilot study

BACKGROUND

During the pandemic, the pneumology team at Bambino Gesù Children's Hospital highlighted that telemedicine was a valuable tool for remotely managing the medical needs of children with medical complexity (CMC). Following the telemedicine experience during the emergency phase, a telemedicine service was established, and new tools were tested to optimize televisits and the overall eHealth approach for patients. In this context, the TytoHome™ device was tested for performing objective examinations remotely. This pilot study, conducted at our hospital, explored the management of CMC patients on long-term mechanical ventilation via the telemedicine platform and the TytoHome™ device.

METHODS

This study involved the treatment of 10 pediatric patients over one year using this approach. The patients were already receiving care at our hospital and were undergoing long-term mechanical ventilation (LTV) at home-4 on invasive mechanical ventilation (IMV) and 6 on non-invasive ventilation (NIV). A database was developed to collect patient data, including personal details, vital parameters, objective examinations, audio quality, and patient satisfaction. A descriptive analysis was subsequently performed using the data collected during the earlier stages of the study.

RESULTS

The utility of the TytoCare device for medically complex children was evaluated. The families were "satisfied" with the remote follow-up visits, and healthcare personnel rated the audio quality of the visits as "good."

CONCLUSIONS

In conclusion, the remote management of these patients using the Tyto device offered several advantages. In our experience, Tyto proved to be a useful tool for the remote medical management of complex patients.

Beliefs of patients who visited community pharmacies about medicines and supplements, the need for drug therapy and medication adherence - a cross-sectional study

BACKGROUND

Beliefs about medicines, the need for drug therapy and patient willingness can influence medication adherence. The community pharmacist, through his skills as an expert in drug therapy, has the opportunity to promote medication adherence in everyday pharmaceutical practice. This study aims to assess beliefs about medicines and supplements and the need for drug therapy and medication adherence of the patients who visited community pharmacies.

METHODS

809 patient volunteers answered a 14-item online questionnaire using a 5-point Likert scale. Statistical analysis was done in SPSS 27.0.

RESULTS

The validity indices of the questionnaire were acceptable; internal consistency was good; and the factor analysis indicated 3 factors (Eigen values > 1.0). The median scores were 3.33 regarding the beliefs about medicines and supplements; 2.75 regarding the beliefs about the need for therapy; and 2.71 on medication adherence. Beliefs about medicines and supplements, the need for drug therapy, and medication adherence varied according to patients' socio-demographic status, health status, and access to pharmacy services (p ≤ 0.05).

CONCLUSION

Patients' beliefs about medicines and supplements were moderate, patients' beliefs about the need for drug therapy were negative and patients' medication adherence was good.

Study protocol for a single-arm pilot trial investigating the feasibility of a multimodal digital technology for managing metabolic syndrome in patients with chronic obstructive pulmonary disease

Individuals diagnosed with Chronic Obstructive Pulmonary Disease (COPD) are exposed to an increased risk of metabolic syndrome (MetS), which negatively affects their health outcomes and quality of life. Lifestyle interventions have shown promise in managing MetS. This study outlines the protocol for a web-based multimodal self-care program, Digital Metabolic Rehabilitation, for managing MetS in patients with COPD. The Digital Metabolic Rehabilitation is a single-arm pilot trial that integrates the Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) Program and a web-based wellness platform. The web-based wellness platform employed in this study is My Viva Plan (MVP)®, which integrates a holistic, multicomponent approach to promote wellness. The intervention will primarily focus on lifestyle changes for patients with COPD. Over 6 months, participants will use the web-based wellness platform and engage in weekly online support group sessions. Fifty patients diagnosed with stage I-II COPD and MetS will participate. Blood tests, anthropometrics, body composition, physical function, muscle strength, physical activity, energy metabolism, quality of life and mental health will be assessed at baseline, 3, and 6 months. The Digital Metabolic Rehabilitation program aims to explore whether a multimodal integrative intervention delivered through a web-based wellness platform can be implemented by patients with COPD with MetS. By combining the expertise of the CHANGE Program with the digital delivery format, the intervention seeks to enhance self-monitoring and foster better self-management practices. The protocol outlines a novel and potentially impactful intervention for managing MetS in patients with COPD.

Does inhaler adherence really matter in severe asthma?

Inhaled therapies, primarily the inhaled corticosteroid (ICS), have been the cornerstone of asthma treatment since the 1960s. They have been shown to reduce symptom burden, morbidity and mortality, and potentially avoid unnecessary and unscheduled healthcare. However, some people have severe asthma, defined by an inability to gain or maintain consistent disease control despite appropriate use of high dose ICS-containing inhalers. In this review, we discuss whether it is appropriate to demand adherence to a treatment this cohort are demonstrably resistant to.

Engagement of medication users in the development and implementation of digital medication adherence technologies: a multi-stakeholder study

BACKGROUND

This study aims to create a comprehensive framework for the development and implementation of digital medication adherence technologies (DMATech), focusing on critical stages where engagement of medication users (MU) is considered meaningful, i.e. adds significant value, as agreed upon by participating stakeholders.

METHODS

Through a literature review and expert consensus, a framework was outlined covering key DMATech development and implementation phases and steps. An in-person workshop with MU representatives and adherence experts, using the Nominal Group Technique, further refined these stages for MU engagement.

RESULTS

The DMATech framework included three phases: 'Innovation,' 'Research and Development,' and 'Launch and Implementation,' each encompassing multiple steps. The workshop, attended by five MU representatives and nine adherence experts, identified critical stages for MU input including context analysis, ideation, proof of concept, prototype creation, DMATech's iteration, critical evaluation, healthcare implementation, real-world assessment, and improvement. Nevertheless, there was a divergence of consensus regarding the importance of MUs engagement in regulatory, financial, and marketing aspects.

CONCLUSIONS

This study provides a holistic framework for DMATech development and implementation and underscores the necessity of MU engagement at various stages. Modes of MU engagement cannot be generalized; a case-by-case evaluation of engagement strategies is essential.

Current technological advancement in asthma care

INTRODUCTION

Asthma is a common chronic respiratory disease affecting 262 million people globally, causing half a million deaths each year. Poor asthma outcomes are frequently due to non-adherence to medication, poor engagement with asthma services, and a lack of objective diagnostic tests. In recent years, technologies have been developed to improve diagnosis, monitoring, and care.

AREAS COVERED

Technology has impacted asthma care with the potential to improve patient outcomes, reduce healthcare costs, and provide personalized management. We focus on current evidence on home diagnostics and monitoring, remote asthma reviews, and digital smart inhalers. PubMed, Ovid/Embase, Cochrane Library, Scopus and Google Scholar were searched in November 2023 with no limit by year of publication.

EXPERT OPINION

Advanced diagnostic technologies have enabled early asthma detection and personalized treatment plans. Mobile applications and digital therapeutics empower patients to manage their condition and improve adherence to treatments. Telemedicine platforms and remote monitoring devices have the potential to streamline asthma care. AI algorithms can analyze patient data and predict exacerbations in proof-of-concept studies. Technology can potentially provide precision medicine to a wider patient group in the future, but further development is essential for implementation into routine care which in itself will be a major challenge.

Digital health delivery in respiratory medicine: adjunct, replacement or cause for division?

Digital medicine is already well established in respiratory medicine through remote monitoring digital devices which are used in the day-to-day care of patients with asthma, COPD and sleep disorders. Image recognition software, deployed in thoracic radiology for many applications including lung cancer screening, is another application of digital medicine. Used as clinical decision support, this software will soon become part of day-to-day practice once concerns regarding generalisability have been addressed. Embodied in the electronic health record, digital medicine also plays a substantial role in the day-to-day clinical practice of respiratory medicine. Given the considerable work the electronic health record demands from clinicians, the next tangible impact of digital medicine may be artificial intelligence that aids administration, makes record keeping easier and facilitates better digital communication with patients. Future promises of digital medicine are based on their potential to analyse and characterise the large amounts of digital clinical data that are collected in routine care. Offering the potential to predict outcomes and personalise therapy, there is much to be excited by in this new epoch of innovation. However, these digital tools are by no means a silver bullet. It remains uncertain whether, let alone when, the promises of better models of personalisation and prediction will translate into clinically meaningful and cost-effective products for clinicians.

Impact of mobile application and outpatient follow-up on renal endpoints and physiological indices in patients with chronic kidney disease: a retrospective cohort study in Southwest China

BACKGROUND

Chronic kidney disease (CKD) is a significant public health concern, and patient self-management is an effective approach to manage the condition. Mobile applications have been used as tools to assist in improving patient self-management, but their effectiveness in long-term outpatient follow-up management of patients with CKD remains to be validated. This study aimed to investigate whether using a mobile application combined with traditional outpatient follow-up can improve health outcomes of patients with CKD .

METHODS

This retrospective cohort study recruited CKD patients with stage 1-5 who were not receiving renal replacement therapy from a CKD management center. Two groups were established: the APP + outpatient follow-up group and the traditional outpatient follow-up group. Baseline data was collected from January 2015 to December 2019, followed by a three-year long-term follow-up until December 2022. Laboratory data, all-cause mortality, and renal replacement treatment were then collected and compared between the two groups.

RESULTS

5326 patients were included in the study, including 2492 in the APP + outpatient group and 2834 in the traditional outpatient group. After IPTW virtualization matching, the final matched the APP + outpatient group consisted of 2489 cases (IQR, 33-55) and 2850 (IQR, 33-55) in the traditional outpatient group. By the end of the study, it was observed that the laboratory data of Phosphorus, Sodium, Triglyceride, Hemoglobin showed significant improvements, Furthermore the APP + outpatient group demonstrated superior results compared to the traditional outpatient group (P < .05). And it was observed that there were 34 deaths (1.4%) in the APP + outpatient group and 46 deaths (1.6%) in the traditional outpatient group(P = .49). After matching for renal replacement therapy outcomes, the two groups were found to be comparable (95% CI [0.72-1.08], P = .23), with no significant difference. However, it was noted that the traditional outpatient group had a lower incidence of using temporary catheters during initial hemodialysis (95% CI [8.4-29.8%], P < .001).

CONCLUSION

The development and application of an app combined with outpatient follow-up management can improve patient health outcomes. However, to ensure optimal preparation for kidney replacement therapy, patients in CKD stages 4-5 may require more frequent traditional outpatient follow-ups, and further develop an information-based decision-making support tool for renal replacement therapy.

Modelling Drug Delivery to the Small Airways: Optimization Using Response Surface Methodology

AIM

The aim of this in silico study was to investigate the effect of particle size, flow rate, and tidal volume on drug targeting to small airways in patients with mild COPD.

METHOD

Design of Experiments (DoE) was used with an in silico whole lung particle deposition model for bolus administration to investigate whether controlling inhalation can improve drug delivery to the small conducting airways. The range of particle aerodynamic diameters studied was 0.4 - 10 µm for flow rates between 100 - 2000 mL/s (i.e., low to very high), and tidal volumes between 40 - 1500 mL.

RESULTS

The model accurately predicted the relationship between independent variables and lung deposition, as confirmed by comparison with published experimental data. It was found that large particles (~ 5 µm) require very low flow rate (~ 100 mL/s) and very small tidal volume (~ 110 mL) to target small conducting airways, whereas fine particles (~ 2 µm) achieve drug targeting in the region at a relatively higher flow rate (~ 500 mL/s) and similar tidal volume (~ 110 mL).

CONCLUSION

The simulation results indicated that controlling tidal volume and flow rate can achieve targeted delivery to the small airways (i.e., > 50% of emitted dose was predicted to deposit in the small airways), and the optimal parameters depend on the particle size. It is hoped that this finding could provide a means of improving drug targeting to the small conducting airways and improve prognosis in COPD management.

Digital technologies in bronchiectasis physiotherapy services: a survey of patients and physiotherapists in a UK centre

Introduction

We aimed to explore how digital technology is currently used, could be used and how services could be improved in order to optimise bronchiectasis physiotherapy care.

Methods

Online surveys were designed and distributed amongst people with bronchiectasis and physiotherapists in Northern Ireland. Responses to closed and open question formats were collected and analysed.

Results

The survey was completed by 48 out of 100 physiotherapists (48%) between January 2020 and January 2021 and by 205 out of 398 people with bronchiectasis (52%) between October 2020 and October 2021. 56% of physiotherapists (27 out of 48) reporting using some type of digital technology to facilitate services, whereas 44% (21 out of 48) reported that they had never used a digital technology in this patient group. When physiotherapists were asked whether they would be likely to use certain remote and/or digital options to deliver follow-up care for airway clearance techniques, most (31-38 out of 48; 65-79%) indicated that they would. Regarding patient responses, most reported that they would use telephone consultation (145 out of 199, 73%) and a smaller proportion were likely to use video consultation (64 out of 199, 32%). The most commonly mentioned theme for improvement amongst patients was follow-ups, while improved access, quality of services and treatments were the most commonly mentioned amongst physiotherapists.

Conclusion

Despite a large proportion of physiotherapists in this survey reporting no current use of digital technology in bronchiectasis physiotherapy care, there was significant interest and willingness to do so, amongst both physiotherapists and patients. This survey highlighted a range of care areas, specifically follow-up visits, where digital methods could be further explored.

Internet of things-based management versus standard management of home noninvasive ventilation in COPD patients with hypercapnic chronic respiratory failure: a multicentre randomized controlled non-inferiority trial

Background

Effective monitoring and management are crucial during long-term home noninvasive positive pressure ventilation (NPPV) in patients with hypercapnic chronic obstructive pulmonary disease (COPD). This study investigated the benefit of Internet of Things (IOT)-based management of home NPPV.

Methods

This multicenter, prospective, parallel-group, randomized controlled non-inferiority trial enrolled patients requiring long-term home NPPV for hypercapnic COPD. Patients were randomly assigned (1:1), via a computer-generated randomization sequence, to standard home management or IOT management based on telemonitoring of clinical and ventilator parameters over 12 months. The intervention was unblinded, but outcome assessment was blinded to management assignment. The primary outcome was the between-group comparison of the change in health-related quality of life, based on severe respiratory insufficiency questionnaire scores with a non-inferiority margin of -5. This study is registered with Chinese Clinical Trials Registry (No. ChiCTR1800019536).

Findings

Overall, 148 patients (age: 72.7 ± 6.8 years; male: 85.8%; forced expiratory volume in 1 s: 0.7 ± 0.3 L; PaCO2: 66.4 ± 12.0 mmHg), recruited from 11 Chinese hospitals between January 24, 2019, and June 28, 2021, were randomly allocated to the intervention group (n = 73) or the control group (n = 75). At 12 months, the mean severe respiratory insufficiency questionnaire score was 56.5 in the intervention group and 50.0 in the control group (adjusted between-group difference: 6.26 [95% CI, 3.71-8.80]; P < 0.001), satisfying the hypothesis of non-inferiority. The 12-month risk of readmission was 34.3% in intervention group compared with 56.0% in the control group, adjusted hazard ratio of 0.56 (95% CI, 0.34-0.92; P = 0.023). No severe adverse events were reported.

Interpretation

Among stable patients with hypercapnic COPD, using IOT-based management for home NPPV improved health-related quality of life and prolonged the time to readmission.

Funding

Air Liquide Healthcare (Beijing) Co., Ltd.

Cost-related medication nonadherence in adults with COPD in the United States 2013-2020

BACKGROUND

Cost-related medication nonadherence (CRN) is associated with poor prognosis among patients with chronic obstructive pulmonary disease (COPD), a population that requires long-term treatment for secondary prevention. In this study, we aimed to estimate the prevalence and sociodemographic characteristics of CRN in individuals with COPD in the US.

METHODS

In a nationally representative survey of US adults in the National Health Interview Survey (2013-2020), we identified individuals aged ≥18 years with a self-reported history of COPD. Cross-sectional study.

RESULTS

Of the 15,928 surveyed individuals, a weighted 18.56% (2.39 million) reported experiencing CRN, including 12.50% (1.61 million) missing doses, 13.30% (1.72 million) taking lower than prescribed doses, and 15.74% (2.03 million) delaying filling prescriptions to save costs. Factors including age < 65 years, female sex, low family income, lack of health insurance, and multimorbidity were associated with CRN.

CONCLUSIONS

In the US, one in six adults with COPD reported CRN. The influencing factors of CRN are multifaceted and necessitating more rigorous research. Targeted interventions based on the identified influencing factors in this study are recommended to enhance medication adherence among COPD patients.

Assessing the clinical benefit, safety, and patient-reported outcomes with the use of the PAHcare™ digital platform in pulmonary arterial hypertension: a pilot study

Introduction

Digital health interventions, particularly mobile health platforms, have shown promise in supporting patients with respiratory conditions, but their application in pulmonary arterial hypertension (PAH) remains limited. We aimed to assess the feasibility, acceptability, and potential clinical benefit of the novel PAHcare™ digital platform as a patient-centred intervention for PAH management through a prospective, single-arm, multicenter pilot study conducted on 53 patients diagnosed with PAH who used the platform for 6 months.

Methods

The primary objective was to assess the impact on Health-Related Quality of Life (HRQoL) through questionnaires. Secondary objectives included evaluating clinical outcomes, including disease progression, PAH signs and symptoms, the 6-min walking test, and the patient's symptom perception. Additionally, we assessed patient satisfaction and engagement with the PAHcare™ platform, interaction with health coaches, retention, costs and healthcare resource utilisation (HCRU), and safety through monitoring device incidents.

Results

Minimal changes in HRQoL and clinical outcomes were observed over 6 months. A noteworthy 92.4% of patients actively used the platform in the first month, maintaining high usage throughout the study. Patient satisfaction was substantial, with more than half of the patients expressing excellence in service quality, willingness to reuse the platform, and fulfilment of their needs. Health coach interaction was high, with 76% of patients initiating contact within the first week. User retention rates were 70%, with prevalent ongoing usage and interaction with healthcare professionals even after the study. In terms of HCRU and costs, the study showed no significant changes in PAH-related hospital admissions, clinical visits, or tests. Finally, the low number of device-related incidents indicated platform safety.

Conclusion

This pilot study provides compelling evidence supporting the feasibility and acceptability of the PAHcare™ digital platform to empower patients to manage their disease and significantly enhance their overall experience with PAH.

Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness using a Personalized Second-generation Digital System

INTRODUCTION

Low adherence to chronic treatment regimens is a significant barrier to improving clinical outcomes in patients with chronic diseases. Low adherence is a result of multiple factors.

METHODS

We review the relevant studies on the prevalence of low adherence and present some potential solutions.

RESULTS

This review presents studies on the current measures taken to overcome low adherence, indicating a need for better methods to deal with this problem. The use of first-generation digital systems to improve adherence is mainly based on reminding patients to take their medications, which is one of the reasons they fail to provide a solution for many patients. The establishment of a second-generation artificial intelligence system, which aims to improve the effectiveness of chronic drugs, is described.

CONCLUSION

Improving clinically meaningful outcome measures and disease parameters may increase adherence and improve patients' response to therapy.

The Design of a Persuasive Game to Motivate People with Asthma in Adherence to Their Maintenance Medication

Objective

This study aimed to design a persuasive game, using objective adherence data, to motivate people with asthma to adhere to their medication regimen.

Methods

A participatory user-centered design approach was employed, involving end-users and other stakeholders throughout the study. The approach consisted of four phases. Semi-structured interviews and a survey were conducted to understand user needs and reasons for poor adherence (Phase 1: define). Key themes were identified, leading to the formulation of behavior change strategies and design and game requirements. Several design directions were ideated, resulting in a concept for a serious game (Phase 2: ideate). Two rounds of user-tests were performed to evaluate a prototype of the serious game in terms of usability, perceived impact on medication adherence and motivation (Phase 3: prototype and Phase 4: evaluate).

Results

Findings from semi-structured interviews (n = 6) and the online survey (n = 20) revealed that people's non-adherence was often attributed to the perception of asthma as an episodic condition, the delayed experienced effect of maintenance inhalers, and lack of knowledge regarding difference of effect between maintenance and reliever inhalers. The study used behavior change strategies to translate these insights into design requirements for the development of the narrative-based persuasive game Ademgenoot. This six-week challenge-based game combines various behavior change strategies, including personal goal setting and continuous visual feedback, as well as persuasive game design elements, such as a narrative and rewards, with the aim of enhancing motivation to adhere to their medication regimen. User-testing (n = 8; round 1 and 2) showed that Ademgenoot is feasible in clinical practice and has the potential to support people with mild asthma in adherence to their maintenance medication.

Discussion

Future efforts should be directed towards a larger evaluation to assess the impact on motivation and inhaler use behaviour.

Artificial intelligence in diabetes management: Advancements, opportunities, and challenges

The increasing prevalence of diabetes, high avoidable morbidity and mortality due to diabetes and diabetic complications, and related substantial economic burden make diabetes a significant health challenge worldwide. A shortage of diabetes specialists, uneven distribution of medical resources, low adherence to medications, and improper self-management contribute to poor glycemic control in patients with diabetes. Recent advancements in digital health technologies, especially artificial intelligence (AI), provide a significant opportunity to achieve better efficiency in diabetes care, which may diminish the increase in diabetes-related health-care expenditures. Here, we review the recent progress in the application of AI in the management of diabetes and then discuss the opportunities and challenges of AI application in clinical practice. Furthermore, we explore the possibility of combining and expanding upon existing digital health technologies to develop an AI-assisted digital health-care ecosystem that includes the prevention and management of diabetes.

Long-Term Cost-Effectiveness of Digital Inhaler Adherence Technologies in Difficult-to-Treat Asthma

BACKGROUND

Digital inhalers can monitor inhaler usage, support difficult-to-treat asthma management, and inform step-up treatment decisions yet their economic value is unknown, hampering wide-scale implementation.

OBJECTIVE

We aimed to assess the long-term cost-effectiveness of digital inhaler-based medication adherence management in difficult-to-treat asthma.

METHODS

A model-based cost-utility analysis was performed. The Markov model structure was determined by biological and clinical understanding of asthma and was further informed by guideline-based assessment of model development. Internal and external validation was performed using the Assessment of the Validation Status of Health-Economic (AdViSHE) tool. The INCA (Inhaler Compliance Assessment) Sun randomized clinical trial data were incorporated into the model to evaluate the cost-effectiveness of digital inhalers. Several long-term clinical case scenarios were assessed (reduced number of exacerbations, increased asthma control, introduction of biosimilars [25% price-cut on biologics]).

RESULTS

The long-term modelled cost-effectiveness based on a societal perspective indicated 1-year per-patient costs for digital inhalers and usual care (ie, regular inhalers) of €7,546 ($7,946) and €10,752 ($11,322), respectively, reflecting cost savings of €3,207 ($3,377) for digital inhalers. Using a 10-year intervention duration and time horizon resulted in cost savings of €26,309 ($27,703) for digital inhalers. In the first year, add-on biologic therapies accounted for 69% of the total costs in the usual care group and for 49% in the digital inhaler group. Scenario analyses indicated consistent cost savings ranging from €2,287 ($2,408) (introduction biosimilars) to €4,581 ($4,824) (increased control, decreased exacerbations).

CONCLUSIONS

In patients with difficult-to-treat asthma, digital inhaler-based interventions can be cost-saving in the long-term by optimizing medication adherence and inhaler technique and reducing add-on biologic prescriptions.

Clinical Implications of Peak Inspiratory Flow in COPD: Post Hoc Analyses of the TRONARTO Study

Background

In patients with COPD, inhalation ability should be assessed when considering inhaler choice. To evaluate whether the soft mist inhaler (SMI) is suitable for COPD patients irrespective of inhalation ability, the TRONARTO study investigated the efficacy of dual long-acting bronchodilator therapy delivered via the Respimat® SMI on lung function in patients with COPD stratified by inhalation ability. Tiotropium/olodaterol delivered via the SMI was effective both in patients with peak inspiratory flow (PIF) <60 L/min and PIF ≥60 L/min, measured against medium-low resistance.

Methods

This congress compilation summarizes post hoc analyses from the TRONARTO study presented at the annual American Thoracic Society 2022 and European Respiratory Society 2022 meetings. These analyses evaluated PIF in over 200 patients, with PIF measurements taken daily at home for 4 weeks, and in the clinic at baseline, Weeks 2 and 4.

Results

Overall, 57.9% of patients had a PIF range (difference between lowest and highest PIF measurements) <20 L/min (12.4% of patients had PIF range <10 L/min). At-home PIF range decreased over the study period, suggesting that inhaler training/repeated PIF measurements may help to make patients' inspiratory effort more consistent. Some patient characteristics correlated with lower PIF (female gender, shorter stature, more severe disease, worse airflow obstruction) and lower PIF range (more severe disease). PIF measurements differed between medium-low and high-resistance settings, highlighting the importance of measuring PIF at the resistance of a patient's inhaler. PIF correlated poorly with spirometry measurements.

Conclusion

As indicated in COPD management guidelines, choice of inhaler is essential to optimize pharmacologic therapies for COPD. Poor inspiratory ability should be viewed as a treatable trait that can help to inform inhaler choice. Inhaler training and consideration of PIF (if patients use a dry powder inhaler) can reduce patient-to-inhaler mismatch, with potential consequences for health status and exacerbation risk.

A Systematic Review of Patient-Reported Adherence Measures in Asthma: Which Questionnaire Is Most Useful in Clinical Practice?

BACKGROUND

Suboptimal adherence to inhaled corticosteroid in asthma is a worryingly prevalent yet modifiable factor in uncontrolled disease. Several objective measures of adherence exist, but they are time-consuming. The use of patient-reported adherence measures (PRAMs) could therefore offer a time-efficient pragmatic approach to assessing adherence in clinical practice and potentially the appropriate interventions to improve it.

OBJECTIVES

To identify the PRAMs available for asthma and assess their psychometric quality, accessibility, and usefulness in clinical practice, as well as to provide recommendations for clinicians based on these findings.

METHODS

We conducted a systematic review of six databases. Articles included in this study were English language, full-text, original, asthma-specific PRAMs or development/validation studies of a generic PRAM that had been administered to adults with asthma, investigated inhaled corticosteroid adherence in adults (aged 18 years and older), and assessed at least one COnsensus-based Standards for the selection of health Measurement INstruments measurement property.

RESULTS

We included 15 PRAM developmental and/or validation studies in this systematic review. Studies evaluated a range of COnsensus-based Standards for the selection of health Measurement INstruments measurement properties, but none evaluated all of them.

CONCLUSIONS

Based on this review, we recommend that when a PRAM is used, it should be the Test of the Adherence to Inhalers. However, the Adherence Starts with Knowledge-20 and Adherence Starts with Knowledge-12 may also be useful. Our results highlight the need for PRAM developers to assess questionnaires robustly and provide guidance for clinicians regarding how to act on PRAM answers by developing materials such as decision support tool kits.

Digital technology for delivering and monitoring exercise programs for people with cystic fibrosis

BACKGROUND

Although exercise is recommended as part of the cystic fibrosis (CF) therapeutic routine, adherence to exercise is still limited. Digital health technologies can provide easy-to-access health information and may help improve healthcare and outcomes in individuals with long-term conditions. However, its effects for delivering and monitoring exercise programs in CF have not yet been synthesized.

OBJECTIVES

To evaluate the benefits and harms of digital health technologies for delivering and monitoring exercise programs, increasing adherence to exercise regimens, and improving key clinical outcomes in people with CF.

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was 21 November 2022.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) or quasi-RCTs of digital health technologies for delivering or monitoring exercise programs in CF.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our primary outcomes were 1. physical activity, 2. self-management behavior, and 3. pulmonary exacerbations. Our secondary outcomes were 4. usability of technologies, 5. quality of life, 6. lung function, 7. muscle strength, 8. exercise capacity, 9. physiologic parameters, and 10.

ADVERSE EVENTS

We used GRADE to assess certainty of evidence.

MAIN RESULTS

We identified four parallel RCTs (three single-center and one multicenter with 231 participants aged six years or older). The RCTs evaluated different modes of digital health technologies with distinct purposes, combined with diverse interventions. We identified important methodologic concerns in the RCTs, including insufficient information on the randomization process, blinding of outcome assessors, balance of non-protocol interventions across groups, and whether the analyses performed corrected for bias due to missing outcome data. Non-reporting of results may also be a concern, especially because some planned outcome results were reported incompletely. Furthermore, each trial had a small number of participants, resulting in imprecise effects. These limitations on the risk of bias, and on the precision of effect estimates resulted in overall low- to very low-certainty evidence. We undertook four comparisons and present the findings for our primary outcomes below. There is no information on the effectiveness of other modes of digital health technologies for monitoring physical activity or delivering exercise programs in people with CF, on adverse events related to the use of digital health technologies either for delivering or monitoring exercise programs in CF, and on their long-term effects (more than one year). Digital health technologies for monitoring physical activity Wearable fitness tracker plus personalized exercise prescription compared to personalized exercise prescription alone One trial (40 adults with CF) evaluated this outcome, but did not report data for any of our primary outcomes. Wearable fitness tracker plus text message for personalized feedback and goal setting compared to wearable fitness tracker alone The evidence is very uncertain about the effects of a wearable fitness tracker plus text message for personalized feedback and goal setting, compared to wearable technology alone on physical activity measured by step count at six-month follow-up (mean difference [MD] 675.00 steps, 95% confidence interval [CI] -2406.37 to 3756.37; 1 trial, 32 participants). The same study measured pulmonary exacerbation rates and reported finding no difference between groups. Web-based application to record, monitor, and set goals on physical activity plus usual care compared to usual care alone Using a web-based application to record, monitor, and set goals on physical activity plus usual care may result in little to no difference on time spent in moderate-to-vigorous physical activity measured via accelerometry compared to usual care alone at six-month follow-up (MD -4 minutes/day, 95% CI -37 to 29; 1 trial, 63 participants). Low certainty-evidence from the same trial suggests that the intervention may result in little to no difference on pulmonary exacerbations during 12 months of follow-up (median 1 respiratory hospitalization, interquartile range [IQR] 0 to 3) versus control (median 1 respiratory hospitalization, IQR 0 to 2; P = 0.6). Digital health technologies for delivering exercise programs Web-based versus face-to-face exercise delivery The evidence is very uncertain about the effects of web-based compared to face-to-face exercise delivery on adherence to physical activity as assessed by the number of participants who completed all exercise sessions after three months of intervention (risk ratio 0.92, 95% CI 0.69 to 1.23; 1 trial, 51 participants).

AUTHORS' CONCLUSIONS

The evidence is very uncertain about the effects of an exercise program plus the use of a wearable fitness tracker integrated with a social media platform compared with exercise prescription alone and on the effects of receiving a wearable fitness tracker plus text message for personalized feedback and goal setting, compared to a wearable fitness tracker alone. Low-certainty evidence suggests that using a web-based application to record, monitor, and set goals on physical activity plus usual care may result in little to no difference in time spent in moderate-to-vigorous physical activity, total time spent in activity, pulmonary exacerbations, quality of life, lung function, and exercise capacity compared to usual care alone. Regarding the use of digital health technologies for delivering exercise programs in CF, the evidence is very uncertain about the effects of using a wearable fitness tracker plus personalized exercise prescription compared to personalized exercise prescription alone. Further high-quality RCTs, with blinded outcome assessors, reporting the effects of digital health technologies on clinically important outcome measures, such as physical activity participation and intensity, self-management behavior, and the occurrence of pulmonary exacerbations in the long term are needed. The results of six ongoing RCTs identified through our searches may help clarify the effects of different modes of digital health technologies for delivering and monitoring exercise programs in people with CF.

Mobile heath applications for self-management in chronic lung disease: a systematic review

Integration of mobile health (mHealth) applications (apps) into chronic lung disease management is becoming increasingly popular. MHealth apps may support adoption of self-management behaviors to assist people in symptoms control and quality of life enhancement. However, mHealth apps' designs, features, and content are inconsistently reported, making it difficult to determine which were the effective components. Therefore, this review aims to summarize the characteristics and features of published mHealth apps for chronic lung diseases. A structured search strategy across five databases (CINAHL, Medline, Embase, Scopus and Cochrane) was performed. Randomized controlled trials investigating interactive mHealth apps in adults with chronic lung disease were included. Screening and full-text reviews were completed by three reviewers using Research Screener and Covidence. Data extraction followed the mHealth Index and Navigation Database (MIND) Evaluation Framework (https://mindapps.org/), a tool designed to help clinicians determine the best mHealth apps to address patients' needs. Over 90,000 articles were screened, with 16 papers included. Fifteen distinct apps were identified, 8 for chronic obstructive pulmonary disease (53%) and 7 for asthma (46%) self-management. Different resources informed app design approaches, accompanied with varying qualities and features across studies. Common reported features included symptom tracking, medication reminders, education, and clinical support. There was insufficient information to answer MIND questions regarding security and privacy, and only five apps had additional publications to support their clinical foundation. Current studies reported designs and features of self-management apps differently. These app design variations create challenges in determining their effectiveness and suitability for chronic lung disease self-management. Registration: PROSPERO (CRD42021260205).

Supplementary Information

The online version contains supplementary material available at 10.1007/s13721-023-00419-0.

Objective Assessment of Adherence and Inhaler Technique among Asthma and COPD Patients in London: A Study in Community Pharmacies Using an Electronic Monitoring Device

BACKGROUND

The INhaler Compliance Assessment (INCA^TM) device is an electronic monitoring device (EMD) that assesses both patient's adherence and inhaler technique (IT). This study aimed, first, to assess the value of using the INCA^TM device as an objective measure during medicine use review (MUR) consultations provided by community pharmacists (CPs) on patients' adherence and IT. Second, we aimed to explore patients' perceptions about the INCA^TM device.

METHODS

A mixed methods approach was used, involving two phases. Phase one was a service evaluation in independent community pharmacies in London with a before-and-after study design. The service included provision of an MUR consultation to asthma and COPD patients using objective feedback about adherence and IT generated with the INCA^TM device. Descriptive and inferential statistics were performed using SPSS. Phase two involved semi-structured interviews with respiratory patients. Thematic analysis was performed to generate key findings.

MAIN FINDINGS

Eighteen patients participated in the study (12 COPD and 6 asthma). The results showed significant improvement in the INCA^TM actual adherence from 30% to 68% (p = 0.001) and significant reduction in IT error rate from 51% to 12% (p = 0.002) after conducting the service. Analysis of the interviews revealed patients' positive attitudes in terms of the perceived benefits of the technology and a desire for future use and recommendation for others. Patients had also positive attitudes towards the consultations provided.

CONCLUSION

Embedding an objective measure about adherence and IT during CPs' consultations showed a significant improvement in patients' adherence and IT and was accepted by patients as well.

Telehealth and telemedicine in the management of adult patients after hospitalization for COPD exacerbation: a scoping review

OBJECTIVE

A substantial number of people with COPD suffer from exacerbations, which are defined as an acute worsening of respiratory symptoms. To minimize exacerbations, telehealth has emerged as an alternative to improve clinical management, access to health care, and support for self-management. Our objective was to map the evidence of telehealth/telemedicine for the monitoring of adult COPD patients after hospitalization due to an exacerbation.

METHODS

Bibliographic search was carried in PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, Scopus, Biblioteca Virtual de Saúde/LILACS and Cochrane Library databases to identify articles describing telehealth and telemonitoring strategies in Portuguese, English, or Spanish published by December of 2021.

RESULTS

Thirty-nine articles, using the following concepts (number of articles), were included in this review: telehealth (21); telemonitoring (20); telemedicine (17); teleconsultation (5); teleassistance (4); telehomecare and telerehabilitation (3 each); telecommunication and mobile health (2 each); and e-health management, e-coach, telehome, telehealth care and televideo consultation (1 each). All these concepts describe strategies which use telephone and/or video calls for coaching, data monitoring, and health education leading to self-management or self-care, focusing on providing remote integrated home care with or without telemetry devices.

CONCLUSIONS

This review demonstrated that telehealth/telemedicine in combination with telemonitoring can be an interesting strategy to benefit COPD patients after discharge from hospitalization for an exacerbation, by improving their quality of life and reducing re-hospitalizations, admissions to emergency services, hospital length of stay, and health care costs.

Digital technology for early identification of exacerbations in people with cystic fibrosis

BACKGROUND

Cystic fibrosis (CF) is a life-limiting genetic condition affecting various organ systems including the gastrointestinal tract, endocrine system and especially the respiratory tract. Pulmonary exacerbations in CF result in increased symptoms, an acceleration in the rate of lung decline and an increased need for treatment. Early detection of infections or clinical worsening provides an opportunity for proactive treatment that may affect clinical outcomes.

OBJECTIVES

To evaluate whether digital technology can effectively predict pulmonary exacerbations to allow earlier intervention and improved health outcomes without increasing the burden of treatment in people with CF.

SEARCH METHODS

We used standard, extensive Cochrane search methods. We searched the Cochrane Cystic Fibrosis Trials Register and the reference lists of relevant articles and reviews on 13 October 2022. We searched Embase and the clinical trial registries on 3 January 2023.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) or quasi-RCTs in people with CF looking at whether digital technology can effectively predict pulmonary exacerbations to allow earlier intervention and improved health outcomes without increasing the burden of treatment.  DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were 1. pulmonary exacerbations and 2. quality of life (QoL). Our secondary outcomes were 3. lung function, 4. hospitalisations, 5. intravenous (IV) antibiotics, 6. microbiology, 7. cost-effectiveness and 8.

ADVERSE EVENTS

We used GRADE to assess certainty of evidence.

MAIN RESULTS

We included three studies (415 participants) in people with CF aged 15 to 41 years over a 12-month period. One was a multicentre RCT, whilst two were single-centre RCTs.  The three studies were mostly similar in their risk of bias, having low or unclear risk of selection bias but a high risk of detection bias, due to the unblinded design of these studies. The studies used a variety of digital technologies to monitor symptoms such as a digital symptom diary either with or without home spirometry monitoring. As the trials only included adults and older children, we are not certain that the results would apply to younger children. One of our primary outcomes was to assess time to detection of pulmonary exacerbation and number of pulmonary exacerbations identified between the intervention and routine care groups. We were largely unable to pool results in a meta-analysis due to the variety of methodologies and ways of reporting data. Two studies noted a shorter time to detection of exacerbations in the intervention group and one of these also reported that the intervention group had a shorter time to first exacerbation (hazard ratio for time to first exacerbation 1.45, 95% confidence interval (CI) 1.09 to 1.93), whilst a further study reported a shorter time to detection of exacerbations in the intervention group requiring oral or IV antibiotics compared to the control group (median: 70 (interquartile range (IQR) 123) days with intervention versus 141 (IQR 140) days with control; P = 0.02). However, all three studies were concordant in finding no probable effect on spirometry in the intervention groups when compared with their routine care groups over a 12-month period.  We found that there is probably no difference between groups with regard to QoL scores across most domains except for Weight and Body Image, which favoured the usual care group. There is also probably no difference in the number of days of additional IV antibiotics needed or newly detected pathogens. No studies reported serious adverse events directly linked to the intervention and one study reported their smartphone application was generally well received.

AUTHORS' CONCLUSIONS

Pulmonary exacerbations are universally accepted to be detrimental to progression of CF-related lung disease, therefore, it is intuitive that early detection and intervention would help to improve outcomes. Digital technology provides an opportunity to detect physiological and symptomatic changes to identify exacerbations early.  Our review found that digital technologies based on recording physiological change (spirometry) and symptoms probably allow earlier identification of exacerbations as a group. However, this may not reduce the number of exacerbations warranting IV antibiotics and there is probably no effect on lung function. This may be partly due to inconsistent definitions of pulmonary exacerbations and discrepancy in the management strategies for pulmonary exacerbations. Overall, the intervention may make little or no difference to QoL scores.  The adherence to and uptake of digital technologies, especially those which include physiological measurements, are not well sustained and the costs of these need to be balanced against the clinical efficacy.

Future therapies for cystic fibrosis

We are currently witnessing transformative change for people with cystic fibrosis with the introduction of small molecule, mutation-specific drugs capable of restoring function of the defective protein, cystic fibrosis transmembrane conductance regulator (CFTR). However, despite being a single gene disorder, there are multiple cystic fibrosis-causing genetic variants; mutation-specific drugs are not suitable for all genetic variants and also do not correct all the multisystem clinical manifestations of the disease. For many, there will remain a need for improved treatments. Those patients with gene variants responsive to CFTR modulators may have found these therapies to be transformational; research is now focusing on safely reducing the burden of symptom-directed treatment. However, modulators are not available in all parts of the globe, an issue which is further widening existing health inequalities. For patients who are not suitable for- or do not have access to- modulator drugs, alternative approaches are progressing through the trials pipeline. There will be challenges encountered in design and implementation of these trials, for which the established global CF infrastructure is a major advantage. Here, the Cystic Fibrosis National Research Strategy Group of the UK NIHR Respiratory Translational Research Collaboration looks to the future of cystic fibrosis therapies and consider priorities for future research and development.

Digital technology for monitoring adherence to inhaled therapies in people with cystic fibrosis

BACKGROUND

Improved understanding and treatment of cystic fibrosis (CF) has led to longer life expectancy, which is accompanied by an increasingly complex regimen of treatments. Suboptimal adherence to the treatment plan, in the context of respiratory disease, has been found to be associated with poorer health outcomes. With digital technology being more accessible, it can be used to monitor adherence to inhaled therapies via chipped nebulisers, mobile phone apps and web-based platforms. This technology can allow monitoring of adherence as well as clinical outcomes, and allow feedback to both the person with CF and their healthcare team.

OBJECTIVES

To assess the effects of using digital technology to monitor adherence to inhaled therapies and health status in adults and children with CF.

SEARCH METHODS

We searched the Cochrane Cystic Fibrosis Trials Register, compiled from electronic database searches and handsearching of journals and conference abstract books.  Date of last search: 28 October 2021. We also searched Embase and three clinical trial registries and checked references of included studies. Date of last search: 9 November 2021.

SELECTION CRITERIA

We searched for randomised controlled trials (RCTs) looking at the effects of a digital technology for monitoring adherence of children and adults with CF to inhaled therapies.

DATA COLLECTION AND ANALYSIS

Two review authors screened the search results for studies eligible for inclusion in the review and extracted their data. We used Risk of Bias 2 for assessing study quality. We assessed the overall certainty of the evidence using GRADE.

MAIN RESULTS

We included two studies in our review, with 628 participants aged five to 41 years. There was one study each for two different comparisons.  Nebuliser target inhalation mode versus standard inhalation mode The included parallel study was carried out over 10 weeks after a run-in period of four to six weeks. The study compared the effects of a digitally enhanced inhalation mode (target inhalation mode) for nebulised antibiotics compared to standard mode in children attending a regional CF clinic in the United Kingdom. The study's primary outcome was the time taken to complete the inhaled treatment, but investigators also reported on adherence to therapy. The results showed that there may be an improvement in adherence with the target inhalation mode when this intervention is used (mean difference (MD) 24.0%, 95% confidence interval (CI) 2.95 to 45.05; low-certainty evidence). The target inhalation mode may make little or no difference to forced expiratory volume in one second (FEV1) % predicted (MD 1.00 % predicted, 95% CI -9.37 to 11.37; low-certainty evidence). The study did not report on treatment burden, quality of life (QoL) or pulmonary exacerbations. eNebuliser with digital support versus eNebuliser without support One large multicentre RCT monitored adherence via data-tracking nebulisers. The intervention group also receiving access to an online web-based platform, CFHealthHub, which offered tailored, flexible support from the study interventionist as well as access to their adherence data, educational and problem-solving information throughout the 12-month trial period. We graded all evidence as moderate certainty. Compared to usual care, the digital intervention probably improves adherence to inhaled therapy (MD 18%, 95% CI 12.90 to 23.10); probably leads to slightly reduced treatment burden (MD 5.1, 95% CI 1.79 to 8.41); and may lead to slightly improved FEV1 % predicted (MD 3.70, 95% CI -0.23 to 7.63). There is probably little or no difference in the incidence of pulmonary exacerbations or QoL between the two groups.

AUTHORS' CONCLUSIONS

Digital monitoring plus tailored support via an online platform probably improves adherence to inhaled therapies and reduces treatment burden (but without a corresponding change in QoL) in the medium term (low- and moderate-certainty evidence). In a shorter time frame, technological enhancement of inhaling antibiotics may improve adherence to treatment (low-certainty evidence). There may be little or no effect on lung function with either intervention, and online monitoring probably makes no difference to pulmonary exacerbations.  Future research should assess the effect of digital technology on adherence in both children and adults. Consideration of adherence to the total treatment regimen is also important, as an improvement in adherence to inhaled therapies could come at the cost of adherence to other parts of the treatment regimen.

Correlation of digital flow peak with spirometry in children with and without asthma

INTRODUCTION

Spirometry and peak expiratory flow measurement (PEF) are combined during functional respiratory assessments. The new digital peak flow meter (DPM) evaluates the forced expiratory volume in the first second (FEV₁) and PEF.

OBJECTIVE

To compare lung function measurements using spirometry and DPM.

METHODS

This cross-sectional analytical study assessed FEV₁ and PEF in children with and without asthma. Statistical analysis was performed to assess the agreement between the measures using the intraclass correlation coefficient (ICC), Bland-Altman, and survival agreement plot.

RESULTS

125 (3-12 y) and 196 (6-18 y) children without and with asthma, respectively, were studied. In children without asthma, the ICC for FEV₁ and PEF were 0.89 and 0.86, respectively, while the corresponding values were 0.87 and 0.79, respectively, in patients with asthma. The Bland-Altman method showed a difference of -0.4 to 0.5 for FEV₁ in patients without asthma, with a tendency to increase as the FEV₁ increased to a certain extent. In patients with asthma, the pattern was similar for FEV₁, and the PEF had a greater dispersion than among those without asthma; however, a good agreement pattern was maintained. In the survival agreement plot, when accepting a tolerance of 0.150 mL for FEV₁, there was an agreement of close to 55% in both groups. Likewise, when accepting a tolerance of 0.5 L/s for PEF, an agreement of close to 60% and 50% was observed in patients without and with asthma, respectively.

CONCLUSION

DPM was effective as a measure of lung function in pediatric patients with and without asthma.

Chronic disease self-efficacy and factors influencing this in patients with ischemic stroke

BACKGROUND

Patients' self-efficacy levels are significantly associated with the process of recovery and creating social support in the inpatient recovery setting can help prevent post-stroke depression and anxiety.

OBJECTIVE

To explore the current status of factors influencing chronic disease self-efficacy in patients with ischemic stroke, to provide theoretical basis and clinical data for implementing corresponding nursing interventions.

METHODS

The study included 277 patients with ischemic stroke who were hospitalized in the neurology department of a tertiary hospital in Fuyang, Anhui Province, China from January to May 2021. Participants for the study were selected by convenience sampling method. A questionnaire for general information developed by the researcher and the Chronic Disease Self-Efficacy Scale were used for collecting data.

RESULTS

The patients' total self-efficacy score was (36.79 ± 10.89), which was in the middle to the upper level. Results of our multifactorial analysis showed that history of falls in the previous 12 months, presence of physical dysfunction, and cognitive impairment were all independent risk factors for chronic disease self-efficacy in patients with ischemic stroke (P< 0.05).

CONCLUSION

Chronic disease self-efficacy in patients with ischemic stroke was at an intermediate to high level. History of falls in the previous year, physical dysfunction, and cognitive impairment were factors influencing patients' chronic disease self-efficacy.

Advancing Digital Solutions to Overcome Longstanding Barriers in Asthma and COPD Management

Maintenance therapy delivered via inhaler is central to asthma and chronic obstructive pulmonary disease (COPD) management. Poor adherence to inhaled medication and errors in inhalation technique have long represented major barriers to the optimal management of these chronic conditions. Technological innovations may provide a means of overcoming these barriers. This narrative review examines ongoing advances in digital technologies relevant to asthma and COPD with the potential to inform clinical decision-making and improve patient care. Digital inhaler devices linked to mobile apps can help bring about changes in patients' behaviors and attitudes towards disease management, particularly when they build in elements of interactivity and gamification. They can also support ongoing technique education, empowering patients and helping providers maximize the value of consultations and develop effective action plans informed by insights into the patient's inhaler use patterns and their respiratory health. When combined with innovative techniques such as machine learning, digital devices have the potential to predict exacerbations and prompt pre-emptive intervention. Finally, digital devices may support an advanced precision medicine approach to respiratory disease management and help support shared decision-making. Further work is needed to increase uptake of digital devices and integrate their use into care pathways before their full potential in personalized asthma and COPD management can be realized.

Developments in respiratory self-management interventions over the last two decades

This paper describes developments in the fields of asthma and COPD self-management interventions (SMIs) over the last two decades and discusses future directions. Evidence around SMIs has exponentially grown. Efficacy on group level is convincing and both asthma and COPD SMIs are currently recommended by respiratory guidelines. Core components of asthma SMIs are defined as education, action plans, and regular review, with some discussion about self-monitoring. Exacerbation action plans are defined as an integral part of COPD management. Patient's adherence to SMI's is however inadequate and significantly reducing the intervention's impact. Adherence could be improved by tailoring of SMIs to patients' needs, health beliefs, and capabilities; the use of shared decision making; and optimising the communication between patients and health care providers. Due to the COVID-19 pandemic, digital health innovations have rapidly been introduced and expanded. Digital technology use may increase efficiency, flexibility, and efficacy of SMIs. Furthermore, artificial intelligence can be used to e.g., predict exacerbations in action plans. Research around digital health innovations to ensure evidence-based practice is of utmost importance. Current implementation of respiratory SMIs is not satisfactory. Implementation research should be used to generate further insights, with cost-effectiveness, policy (makers), and funding being significant determinants.

Smart dry powder inhalers and intelligent adherence management

Adherence to inhaled treatments is a complex challenge for patients with chronic obstructive pulmonary disease (COPD) and asthma, it not only involves following the prescribed treatment plans but also administering the medications correctly. When using a dry powder inhaler (DPI), the inhalation flow is particularly critical. Patients frequently fail to use a rapid enough onset and fast enough inhalation when using DPIs. At the same time, there is increasing pressure on physicians to switch patients to DPIs, to minimise the environmental impact of pMDI propellants. This makes it critical to understand whether a patient will maintain or improve disease control by using their new inhaler correctly. However, it is challenging for health care professionals to understand how a patient behaves away from the clinic. Therefore, it would be beneficial to obtain real-world data through the use of monitoring tools, i.e., "smart inhalers". This paper reviews the technologies used to monitor DPIs, how effective they have been in a clinical setting, and how well these have been adopted by patients and health care providers.

Integrating digital inhalers into clinical care of patients with asthma and chronic obstructive pulmonary disease

Modernizing inhaled medications through digital technology can help address persistent problems of non-adherence and poor inhaler technique in patients with obstructive lung diseases. With a growing body of supportive clinical studies, advances in digital inhaler sensors and platforms, greater support from payers and healthcare organizations, significant growth with these technologies is expected. While all digital (smart) inhalers record adherence, these are distinguished by their compatibility with commercial inhalers, capabilities to guide inhaler technique, use of patient-reported outcomes, and user-friendliness for both the healthcare professional (HCP) and patient. Due to the complexity and novelty of employing digital inhalers, collaboration with multiple entities within health systems is necessary and a well-planned integration is needed. For HCPs and patients, cybersecurity and privacy are critical, it will require review by each healthcare organization. In the US, some payers reimburse for remote monitoring using digital inhalers, but reimbursement is currently unavailable in other countries. There are several models for remote patient care, as employing an active, ongoing digital interface between the HCP and patient or they may choose to only review data at clinical encounters. Personalization of therapies and feedback are key to success. While digital inhaler malfunction uncommonly occurs, patient attrition over a year is significant. Some patients will be challenged to use digital platforms or have the necessary technology. Additional research is needed to address cost-effectiveness, in vivo accuracy of inspiratory measurement capable devices, ability to teach inhaler technique, their application for monitoring lung function, and lastly real-world adoption and implementation in routine clinical practice.

Gulf Asthma Diagnosis and Management in Adults: Expert Review and Recommendations

The prevalence and incidence of asthma are increasing globally because of genetic and environmental influences. Prevalence of asthma in the Gulf has been reported to range from 4.7% to 32.0% and has a substantial economic burden. In this paper, we summarize current asthma management guidance for adults, present insights, and recommendations by key opinion leaders (KOLs) in the Gulf region, and key performance indicators for guiding clinical practice for asthma diagnosis, management, and treatment in the Gulf. While it is recommended that the Global Initiative for Asthma (GINA) guidelines should be followed wherever possible for the management of asthma, KOLs in the Gulf region have presented additional recommendations based on regional challenges and insights. There is a need for better diagnosis using objective testing, increased efforts in tackling the burden of comorbidities in the region, and greater provision of the necessary tools for phenotyping severe asthma. Furthermore, there is a need for greater education for physicians regarding asthma treatment, including the importance of inhaled-corticosteroid-containing controller medication. Regionally, there is also a need for specialist asthma clinics and asthma educators, which would serve to educate physicians and their patients as well as to improve the management of patients. Finally, the use of asthma registries, digital devices, and electronic templates would be of benefit in the management of asthma patients in the region.

Considerations for Conducting Bring Your Own “Device” (BYOD) Clinical Studies

Background

Digital health technologies are attracting attention as novel tools for data collection in clinical research. They present alternative methods compared to in-clinic data collection, which often yields snapshots of the participants' physiology, behavior, and function that may be prone to biases and artifacts, e.g., white coat hypertension, and not representative of the data in free-living conditions. Modern digital health technologies equipped with multi-modal sensors combine different data streams to derive comprehensive endpoints that are important to study participants and are clinically meaningful. Used for data collection in clinical trials, they can be deployed as provisioned products where technology is given at study start or in a bring your own “device” (BYOD) manner where participants use their technologies to generate study data.

Summary

The BYOD option has the potential to be more user-friendly, allowing participants to use technologies that they are familiar with, ensuring better participant compliance, and potentially reducing the bias that comes with introducing new technologies. However, this approach presents different technical, operational, regulatory, and ethical challenges to study teams. For example, BYOD data can be more heterogeneous, and recruiting historically underrepresented populations with limited access to technology and the internet can be challenging. Despite the rapid increase in digital health technologies for clinical and healthcare research, BYOD use in clinical trials is limited, and regulatory guidance is still evolving.

Key Messages

We offer considerations for academic researchers, drug developers, and patient advocacy organizations on the design and deployment of BYOD models in clinical research. These considerations address: (1) early identification and engagement with internal and external stakeholders; (2) study design including informed consent and recruitment strategies; (3) outcome, endpoint, and technology selection; (4) data management including compliance and data monitoring; (5) statistical considerations to meet regulatory requirements. We believe that this article acts as a primer, providing insights into study design and operational requirements to ensure the successful implementation of BYOD clinical studies.

Reimbursed Medication Adherence Enhancing Interventions in European Countries: Results of the EUREcA Study

Introduction: Current literature lacks detailed understanding of the reimbursement framework of medication adherence enhancing interventions (MAEIs). As part of the ENABLE COST Action, the EUREcA (“EUropen REimbursement strategies for interventions targeting medication Adherence”) study aimed to provide an in-depth overview of reimbursed MAEIs currently available in European countries at national and regional levels and to pave the way for further MAEIs to be implemented in the future.

Methods: A web-based, cross-sectional survey was performed across 38 European countries and Israel. The survey questionnaire was developed as a result of an iterative process of discussion informed by a desk review. The survey was performed among invited ENABLE collaborators from June to July 2021. Besides descriptive analysis, association between country income and health care expenditure, and the availability of reimbursed MAEIs were also assessed.

Results: The survey identified 13 reimbursed MAEIs in nine countries: multi-dose drug dispensing (n = 5), medication review (n = 4), smart device (n = 2), mobile application (n = 1), and patient education (n = 1). The median GDP per capita of countries having ≥1 reimbursed MAEI was significantly higher compared to countries having no reimbursed adherence intervention (33,888 EUR vs 16,620 EUR, respectively; p = 0.05).

Conclusions: Our findings highlight that to date only a small number of MAEIs have been reimbursed in European countries. Comprehensive health technology assessment recommendations and multi-stakeholder collaboration could help removing barriers related to the implementation and reimbursement of MAEIs.

Digital interventions to improve adherence to maintenance medication in asthma

BACKGROUND

Asthma is the most common chronic lung condition worldwide, affecting 334 million adults and children globally. Despite the availability of effective treatment, such as inhaled corticosteroids (ICS), adherence to maintenance medication remains suboptimal. Poor ICS adherence leads to increased asthma symptoms, exacerbations, hospitalisations, and healthcare utilisation. Importantly, suboptimal use of asthma medication is a key contributor to asthma deaths. The impact of digital interventions on adherence and asthma outcomes is unknown.

OBJECTIVES

To determine the effectiveness of digital interventions for improving adherence to maintenance treatments in asthma.

SEARCH METHODS

We identified trials from the Cochrane Airways Trials Register, which contains studies identified through multiple electronic searches and handsearches of other sources. We also searched trial registries and reference lists of primary studies. We conducted the most recent searches on 1 June 2020, with no restrictions on language of publication. A further search was run in October 2021, but studies were not fully incorporated.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) including cluster- and quasi-randomised trials of any duration in any setting, comparing a digital adherence intervention with a non-digital adherence intervention or usual care. We included adults and children with a clinical diagnosis of asthma, receiving maintenance treatment.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures for data collection. We used GRADE to assess quantitative outcomes where data were available.

MAIN RESULTS

We included 40 parallel randomised controlled trials (RCTs) involving adults and children with asthma (n = 15,207), of which eight are ongoing studies. Of the included studies, 30 contributed data to at least one meta-analysis. The total number of participants ranged from 18 to 8517 (median 339). Intervention length ranged from two to 104 weeks. Most studies (n = 29) reported adherence to maintenance medication as their primary outcome; other outcomes such as asthma control and quality of life were also commonly reported. Studies had low or unclear risk of selection bias but high risk of performance and detection biases due to inability to blind the participants, personnel, or outcome assessors. A quarter of the studies had high risk of attrition bias and selective outcome reporting. We examined the effect of digital interventions using meta-analysis for the following outcomes: adherence (16 studies); asthma control (16 studies); asthma exacerbations (six studies); unscheduled healthcare utilisation (four studies); lung function (seven studies); and quality of life (10 studies). Pooled results showed that patients receiving digital interventions may have increased adherence (mean difference of 14.66 percentage points, 95% confidence interval (CI) 7.74 to 21.57; low-certainty evidence); this is likely to be clinically significant in those with poor baseline medication adherence. Subgroup analysis by type of intervention was significant (P = 0.001), with better adherence shown with electronic monitoring devices (EMDs) (23 percentage points over control, 95% CI 10.84 to 34.16; seven studies), and with short message services (SMS) (12 percentage points over control, 95% CI 6.22 to 18.03; four studies). No significant subgroup differences were seen for interventions having an in-person component versus fully digital interventions, adherence feedback, one or multiple digital components to the intervention, or participant age. Digital interventions were likely to improve asthma control (standardised mean difference (SMD) 0.31 higher, 95% CI 0.17 to 0.44; moderate-certainty evidence) - a small but likely clinically significant effect. They may reduce asthma exacerbations (risk ratio 0.53, 95% CI 0.32 to 0.91; low-certainty evidence). Digital interventions may result in a slight change in unscheduled healthcare utilisation, although some studies reported no or a worsened effect. School or work absence data could not be included for meta-analysis due to the heterogeneity in reporting and the low number of studies. They may result in little or no difference in lung function (forced expiratory volume in one second (FEV1)): there was an improvement of 3.58% predicted FEV1, 95% CI 1.00% to 6.17%; moderate-certainty evidence); however, this is unlikely to be clinically significant as the FEV1 change is below 12%. Digital interventions likely increase quality of life (SMD 0.26 higher, 95% CI 0.07 to 0.45; moderate-certainty evidence); however, this is a small effect that may not be clinically significant. Acceptability data showed positive attitudes towards digital interventions. There were no data on cost-effectiveness or adverse events. Our confidence in the evidence was reduced by risk of bias and inconsistency.

AUTHORS' CONCLUSIONS

Overall, digital interventions may result in a large increase in adherence (low-certainty evidence). There is moderate-certainty evidence that digital adherence interventions likely improve asthma control to a degree that is clinically significant, and likely increase quality of life, but there is little or no improvement in lung function. The review found low-certainty evidence that digital interventions may reduce asthma exacerbations. Subgroup analyses show that EMDs may improve adherence by 23% and SMS interventions by 12%, and interventions with an in-person element and adherence feedback may have greater benefits for asthma control and adherence, respectively. Future studies should include percentage adherence as a routine outcome measure to enable comparison between studies and meta-analysis, and use validated questionnaires to assess adherence and outcomes.

Investigating the Accuracy of the Digihaler, a New Electronic Multidose Dry-Powder Inhaler, in Measuring Inhalation Parameters

Background: The Digihaler^® is a Food and Drug Administration-approved, digital multidose dry powder inhaler with an integrated electronic module that provides patients and health care professionals with feedback on inhalation parameters, including usage, adherence, and technique. This study compared inhalation parameters measured using the Digihaler with readings made simultaneously using an inhalation profile recorder (IPR). Methods: This single-visit, open-label study enrolled children (4-17 years) and adults (18-55 years) with asthma, and adults (≥55 years) with chronic obstructive pulmonary disease (COPD). Participants made three separate inhalations using an empty Digihaler device, each measured simultaneously by the Digihaler and IPR. Inhalation profiles were downloaded from the devices at the end of the study. Inhalation parameters measured included peak inspiratory flow (PIF) and inhaled volume (inhV). The profile with the highest PIF and corresponding IPR profile were analyzed. Results: Overall, 150 participants were enrolled; inhalation data were available for 148 (50 children and 49 adults with asthma, and 49 with COPD). Mean (standard deviation [SD]) age was 39.1 (24.5) years; 51% of participants were male. Overall mean (SD) PIFs as measured by the Digihaler and IPR were 70.62 (17.73) L/min and 72.55 (19.42) L/min, respectively, with a mean percentage difference of -1.75% (95% confidence interval [CI]: -3.64 to 0.15). Mean percentage differences between the Digihaler and IPR measurements of PIF ranged from -2.97% among adults with COPD to 0.16% among children with asthma. Overall mean (SD) inhV for the Digihaler and IPR were 1.57 (0.69) L and 1.67 (0.73) L, respectively, with a mean percentage difference of -6.11 (95% CI: -8.08 to -4.13). There was a strong correlation between PIF and inhV measurements taken by the Digihaler and those taken by the IPR (Spearman's correlation coefficient = 0.96). Conclusions: Our findings confirm the ability of the Digihaler to provide accurate measurement of inhalation parameters when used by patients.

Using a smartphone application maintains physical activity following pulmonary rehabilitation in patients with COPD: a randomised controlled trial

BACKGROUND

Evidence suggests that patients with COPD struggle to maintain improved physical activity (PA) after completing pulmonary rehabilitation (PR). Smartphone applications (apps) providing a comprehensive training programme have conferred healthy benefits. This study was conducted to determine whether regular usage of an app maintains PA following PR.

METHODS

Patients with stage II-IV COPD were enrolled in a 6-month trial following PR. After the screening period, participants were randomised into the Kaia COPD app group (intervention group (IG)) or the control group (CG). The primary outcome was PA (daily steps), measured using an activity tracker. Secondary outcomes included the COPD Assessment Test (CAT), the Chronic Respiratory Disease Questionnaire (CRQ) and the 1 min Sit-to-Stand Test (STST).

RESULTS

Sixty participants completed the study. The median steps from baseline to 6 months were significantly different between the groups, in favour of the IG (-105.3, IQR -1970.1 to 2105.8, vs CG -1173.0, IQR -3813.1 to -93.8; p=0.007). CAT was significantly decreased in the IG (15.1±8.6 vs 19.7±6.4, p=0.02), whereas the CRQ subdomains for dyspnoea (4.5±1.7 vs 3.7±1.3, p=0.033) and fatigue (4.5±1.4 vs 3.5±1.3, p=0.028) improved significantly in the IG. The STST at 6 months was not significant. Sleep duration and sleep efficiency showed no significant differences between the two groups at any time.

CONCLUSIONS

A comprehensive program by using the Kaia app following PR maintained PA and improved symptoms in patients with COPD at 6 months. The app might be an important accessory tool for enhanced COPD care.

TRIAL REGISTRATION NUMBER

DRKS00017275.

Telemedicine as a Means to an End, Not an End in Itself

Telemedicine (TM)—the management of disease at a distance—has potential usefulness for patients with advanced respiratory disease. Underscoring this potential is the dramatic expansion of its applications in clinical medicine. However, since clinical studies testing this intervention often provide heterogeneous results, its role in the medical management of respiratory disorders remains inconclusive. A major problem in establishing TM’s effectiveness is that it is not a single intervention; rather, it includes a number of divergent diagnostic and therapeutic modalities—and each must be tested separately. Reflecting the discord between the need for further documentation of its approaches and effectiveness and its rapid utilization without this needed information, a major challenge is the lack of international guidelines for its integration, regulation, operational plans, and guidance for professionals. Tailored TM, with increased flexibility to address differing healthcare contexts, has the potential to improve access to and quality of services while reducing costs and direct input by health professionals. We should view TM as a tool to aid healthcare professionals in managing their patients with respiratory diseases rather than as a stand-alone substitute to traditional medical care. As such, TM is a means rather than an end.

The future of dry powder inhaled therapy: Promising or Discouraging for systemic disorders?

Dry powder inhalation therapy has been shown to be an effective method for treating respiratory diseases like asthma, Chronic Obstructive Pulmonary Diseases and Cystic Fibrosis. It has also been widely accepted and used in clinical practices. Such success has led to great interest in inhaled therapy on treating systemic diseases in the past two decades. The current coronavirus (COVID-19) pandemic also has increased such interest and is triggering more potential applications of dry powder inhalation therapy in vaccines and antivirus drugs. Would the inhaled dry powder therapy on systemic disorders be as encouraging as expected? This paper reviews the marketed and in-development dry powder inhaler (DPI) products on the treatment of systemic diseases, their status in clinical trials, as well as the potential for COVID-19 treatment. The advancements and unmet problems on DPI systems are also summarized. With countless attempts behind and more challenges ahead, it is believed that the dry powder inhaled therapy for the treatment of systemic disorders still holds great potential and promise.

Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research

Chronic obstructive pulmonary disease (COPD) remains a leading cause of morbidity and mortality despite current treatment strategies which focus on smoking cessation, pulmonary rehabilitation, and symptomatic relief. A focus of COPD care is to encourage self-management, particularly during COVID-19, where much face-to-face care has been reduced or ceased. Digital health solutions may offer affordable and scalable solutions to support COPD patient education and self-management, such solutions could improve clinical outcomes and expand service reach for limited additional cost. However, optimal ways to deliver digital medicine are still in development, and there are a number of important considerations for clinicians, commissioners, and patients to ensure successful implementation of digitally augmented care. In this narrative review, we discuss advantages, pitfalls, and future prospects of digital healthcare, which offer a variety of tools including self-management plans, education videos, inhaler training videos, feedback to patients and healthcare professionals (HCPs), exacerbation monitoring, and pulmonary rehabilitation. We discuss the key issues with sustaining patient and HCP engagement and limiting attrition of use, interoperability with devices, integration into healthcare systems, and ensuring inclusivity and accessibility. We explore the essential areas of research beyond determining safety and efficacy to understand the acceptability of digital healthcare solutions to patients, clinicians, and healthcare systems, and hence ways to improve this and sustain engagement. Finally, we explore the regulatory challenges to ensure quality and engagement and effective integration into current healthcare systems and care pathways, while maintaining patients' autonomy and privacy. Understanding and addressing these issues and successful incorporation of an acceptable, simple, scalable, affordable, and future-proof digital solution into healthcare systems could help remodel global chronic disease management and fractured healthcare systems to provide best patient care and optimisation of healthcare resources to meet the global burden and unmet clinical need of COPD.

Understanding nurses' perceptions of barriers and enablers to use of a new electronic medical record system in Australia: A qualitative study

BACKGROUND

Electronic medical record system implementations impact nurses, their work and workflows. The aim of this study was to understand nurses' perceptions of barriers and enablers to using a new electronic medical record in an acute hospital environment.

METHODS

Data were collected just prior to an organisation-wide new electronic medical record implementation at a large tertiary healthcare organization in Victoria, Australia. Sixty-three nurses from five hospital sites participated in 12 focus group interviews. Transcripts were transcribed and deductive content analysis used the 14-domain Theoretical Domains Framework to identify barriers and enablers.

RESULTS

Coded data mapped to 13 of the 14 domains. Nurse motivation emerged as a dominant theme among both barriers and enablers. Nurses' most common perceived barriers related to emotions (24.1%) and environmental context and resources (21.3%). Conversely, the most common enablers related to social influences (21%) and reinforcement (20.8%).

DISCUSSION

In addition to effecting changes in their work and workflows, the dominance of nurses' emotional responses reveals the potential for implementation of a new electronic medical record to negatively affect nurses' psychological well-being. Using data aligned to the Theoretical Domains Framework assisted identification of behavior change strategies to target the barriers and enablers perceived by nurses. Strategies aligned with nine behavioral intervention categories are recommended for successful implementation and optimization of an electronic medical record by nurses.

CONCLUSIONS

Multifaceted strategies targeting multiple behaviors are required to support adoption of the electronic medical record by nurses, and reduce the risk for nurse attrition in the workforce.

Telemedicine and Remote Monitoring as an Adjunct to Medical Management of Bronchiectasis

The limited resources and the practice of social distancing during the COVID pandemic create a paradigm shift in the utilization of telemedicine in healthcare. However, the implementation of best practices is hampered in part by a lack of literature devoted to telehealth in bronchiectasis. In this commentary, we examine multiple approaches to structuring of telemedicine care for patients with bronchiectasis, highlight current evidence-based interventions that can be incorporated into the management of bronchiectasis, and describe our experience with telemedicine at the University of Connecticut Center for Bronchiectasis Care during the COVID-19 pandemic. The structural model must be adapted to different local dynamics and available technologies with careful attention to patient characteristics and access to technology to avoid the potential paradoxical effects of increasing patients’ burden and healthcare disparities in underserved populations.

European Network to Advance Best Practices and Technology on Medication Adherence: Mission Statement

Medication non-adherence is associated with almost 200,000 deaths annually and €80-125 billion in the European Union. Novel technological advances (smart pill bottles, digital inhalers and spacers, electronic pill blisters, e-injection pens, e-Health applications, big data) could help managing non-adherence. Healthcare professionals seem however inadequately informed about non-adherence, availability of technological solutions in daily practice is limited, and collaborative efforts to push forward their implementation are scarce. The European Network to Advance Best practices and technoLogy on medication adherencE (ENABLE, COST Action 19132) aims to 1) raise awareness of adherence enhancing solutions, 2) foster knowledge on medication adherence, 3) accelerate clinical application of novel technologies and 4) work collaboratively towards economically viable policy, and implementation of adherence enhancing technology across healthcare systems.

Lack of Acceptance of Digital Healthcare in the Medical Market: Addressing Old Problems Raised by Various Clinical Professionals and Developing Possible Solutions

Various digital healthcare devices and apps, such as blood glucose meters, blood pressure monitors, and step-trackers are commonly used by patients; however, digital healthcare devices have not been widely accepted in the medical market as of yet. Despite the various legal and privacy issues involved in their use, the main reason for its poor acceptance is that users do not use such devices voluntarily and continuously. Digital healthcare devices generally do not provide valuable information to users except for tracking self-checked glucose or walking. To increase the use of these devices, users must first understand the health data produced in the context of their personal health, and the devices must be easy to use and integrated into everyday life. Thus, users need to know how to manage their own data. Medical staff must teach and encourage users to analyze and manage their patient-generated healthcare data, and users should be able to find medical values from these digital devices. Eventually, a single customized service that can comprehensively analyze various medical data to provide valuable customized services to users, and which can be linked to various heterogeneous digital healthcare devices based on the integration of various health data should be developed. Digital healthcare professionals should have detailed knowledge about a variety of digital healthcare devices and fully understand the advantages and disadvantages of digital healthcare to help patients understand and embrace the use of such devices.