Integrated Digital Health Solutions in the Management of Growth Disorders in Pediatric Patients Receiving Growth Hormone Therapy: A Retrospective Analysis

The TUITEK® patient support program improved caregiver-related behaviors on growth hormone treatment adherence

Background

Recombinant human growth hormone (r-hGH) can improve or normalize growth outcomes in pediatric patients with growth hormone deficiency, but poor adherence to the treatment regimen limits treatment effectiveness. TUITEK® is a multicomponent patient support program (PSP) designed to deliver support aimed at behavior change that is personalized to the needs of individual caregivers and patients throughout the treatment care pathway. The aim was to assess the impact of the TUITEK® PSP on knowledge, beliefs and perceptions of adherence to r-hGH treatment in high-risk caregivers.

Patients and methods

A prospective pre-post research was conducted across the combined population of caregivers of patients with short stature receiving r-hGH treatment in the TUITEK® PSP in Argentina, South Korea, and Taiwan. Caregivers who were categorized as high-risk based on suboptimal knowledge, beliefs and perceptions of factors influencing adherence to r-hGH treatment (disease and treatment coherence, emotional burden, self-administration, and treatment-related anxiety) were included in the analysis.

Results

In total, data from 409 caregivers were available. Involvement in the TUITEK® PSP resulted in a statistically significant (p<0.0001) positive change for all factors. Improvements were reflected in the number of caregivers who moved from high- to low-risk at the end of the TUITEK® PSP. The overall changes were reflected in the changes observed when data were analyzed for individual countries separately.

Conclusions

The TUITEK® PSP successfully improved key caregiver-related behaviors that may negatively impact adherence to r-hGH treatment and might improve adherence and therefore clinical outcomes.

Telemedicine Integrated Care Versus In-Person Care Mode for Patients With Short Stature: Comprehensive Comparison of a Retrospective Cohort Study

BACKGROUND

Telemedicine has demonstrated efficacy as a supplement to traditional in-person care when treating certain diseases. Nevertheless, more investigation is needed to comprehensively assess its potential as an alternative to in-person care and its influence on access to care. The successful treatment of short stature relies on timely and regular intervention, particularly in rural and economically disadvantaged regions where the disease is more prevalent.

OBJECTIVE

This study evaluated the clinical outcomes, health-seeking behaviors, and cost of telemedicine integrated into care for children with short stature in China.

METHODS

Our study involved 1241 individuals diagnosed with short stature at the pediatric outpatient clinic of Peking University Third Hospital between 2012 and 2023. Patients were divided into in-person care (IPC; 1183 patients receiving only in-person care) and telemedicine integrated care (TIC; 58 patients receiving both in-person and virtual care) groups. For both groups, the initial 71.43% (average of 58 percentages, with each percentage representing the ratio of patients in the treatment group) of visits were categorized into the pretelemedicine phase. We used propensity score matching to select individuals with similar baseline conditions. We used 7 variables such as age, gender, and medical insurance for the 1:5 closest neighbor match. Eventually, 115 patients in the IPC group and 54 patients in the TIC group were selected. The primary clinical outcome was the change in the standard height percentage. Health-seeking behavior was described by visit intervals in the pre- and post-telemedicine phases. The cost analysis compared costs both between different groups and between different visit modalities of the TIC group in the post-telemedicine phase.

RESULTS

In terms of clinical effectiveness, we demonstrated that the increase in height among the TIC group (ΔzTIC=0.74) was more substantial than that for the IPC group (ΔzIPC=0.51, P=.01; paired t test), while no unfavorable changes in other endpoints such as BMI or insulin-like growth factor 1 (IGF-1) levels were observed. As for health-seeking behaviors, the results showed that, during the post-telemedicine phase, the IPC group had a visit interval of 71.08 (IQR 50.75-90.73) days, significantly longer than the prior period (51.25 [IQR 34.75-82.00] days, P<.001; U test), whereas the TIC group's visit interval remained unchanged. As for the cost per visit, there was no difference in the average cost per visit between the 2 groups nor between the pre- and post-telemedicine phases. During the post-telemedicine phase, within the TIC group, in-person visits had a higher average total cost, elevated medical and labor expenses, and greater medical cost compared with virtual visits.

CONCLUSIONS

We contend that the rise in medical visits facilitated by integrating telemedicine into care effectively restored the previously constrained number of medical visits to their usual levels, without increasing costs. Our research underscores that administering prompt treatment may enable physicians to seize a crucial treatment opportunity for children with short stature, thus attaining superior results.

Use of connected injection device has a positive effect on catch-up growth in patients with growth disorders treated with growth hormone therapy

Introduction

Human growth hormone (hGH) therapy in children can be administered by subcutaneous injection using either a manual non-connected device, which is a portable injection pen loaded with a pre-filled cartridge, or an electronic connected device. The electronic device is connected to a platform where adherence data is recorded and available for health care professionals (HCPs) and patient support programs. Real-world data used in the clinic, includes regular monitoring of adherence data which are shared with families during patients' visits and aim to determine the root causes of poor adherence. This study aimed to identify whether there are differences in growth during the first four years of treatment depending on the device, i.e. non-connected versus connected devices.

Methods

This retrospective study reports treatment of either GH deficiency or short stature secondary to birth size small for gestational age (SGA) in 174 pediatric patients attending Miguel Servet Hospital, Zaragoza, Spain. hGH treatment was administered with manual non-connected devices in 87 patients and 87 patients used connected devices. Height was followed for 4 years after start of hGH therapy.

Results

In total, 57% of subjects had GHD and 43% were SGA. Height standard deviation score (HSDS) at treatment start was higher (p<0.001) in the non-connected device group compared to the connected device group. Change of HSDS in the connected device group was significantly higher in the second (+0.13), third (+0.20) and fourth (+0.23) year of treatment compared to the non-connected group after adjustment for age and HSDS at treatment start, sex, indication, dose and Tanner stages during treatment, and timing of measurements.

Discussion

These results support the use of the connected device for hGH treatment of pediatric growth disorders.

Healthcare professionals' perspectives towards the digitalisation of paediatric growth hormone therapies: expert panels in Italy and Korea

Introduction

To analyse the perspectives of healthcare professionals (HCPs) regarding the acceptance of digital health solutions for growth hormone (GH) deficiency care. This study identified factors impacting HCPs' intent to use and recommend digital solutions supporting recombinant-human growth hormone (r-hGH) therapy in Italy and Korea with a use case of connected drug delivery system (Aluetta® with Smartdot™) integrated in a platform for GH treatment support (the Growzen™ digital health ecosystem).

Methods

Participatory workshops were conducted in Rome, Italy, and Seoul, Korea, to collect the perspectives of 22 HCPs on various predefined topics. HCPs were divided into two teams, each moderated by a facilitator. The workshops progressed in five phases: introduction of the project and experts, capturing views on the current context of digitalisation, perceived usefulness and ease of use of Aluetta® with Smartdot™, exploration of the perception of health technology evolution, and combined team recommendations. Data shared by HCPs on technology acceptance were independently analysed using thematic analysis, and relevant findings were shared and validated with experts.

Results

HCPs from both Italy and Korea perceived Aluetta® with Smartdot™ and the Growzen™ based digital health ecosystem as user-friendly, intuitive, and easy-to-use solutions. These solutions can result in increased adherence, a cost-effective healthcare system, and medication self-management. Although technology adoption and readiness may vary across countries, it was agreed that using digital solutions tailored to the needs of users may help in data-driven clinical decisions and strengthen HCP-patient relationships.

Conclusion

HCPs' perspectives on the digitalisation in paediatric GH therapies suggested that digital solutions enable automatic, real-time injection data transmission to support adherence monitoring and evidence-based therapy, strengthen HCP-patient relationships, and empower patients throughout the GH treatment process.

The growzen™ buddy smartphone app to improve adherence in patients receiving recombinant human growth hormone therapy: a retrospective observational study in Argentina

Introduction

This study in Argentina evaluated the impact of the growzen™ buddy smartphone app on adherence to recombinant human growth hormone (r-hGH) treatment.

Methods

The adherence data, invitation dates with a link to the app, app activation dates, and height measurements entered were extracted from the growzen™ digital health ecosystem. Patients with 12 months of adherence data, aged ≥2 years at treatment start, and aged <19 years were selected both before and after app implementation. Mean adherence was classified as optimal (≥85%) versus suboptimal (<85%). Adherence before and after implementation and the pre-post effect on adherence were assessed.

Results

Data for 830 patients were available. Prior to app implementation, the proportion of patients with optimal adherence was 68% (n = 348/515). Following the app implementation, out of 315 patients, 302 (96%) received an invitation with a link to the app, 225 (71%) activated their account, and 127 (40%) entered height data in the first year. There was a significant early increase in the proportion of patients with optimal adherence following implementation: 82% (n = 258/315), p < 0.001. After implementation, the proportion of patients with optimal adherence included 80% (n = 78/98) of those with an active account who did not enter height measurements and 89% (n = 113/127) of those who did. There was a significant and positive pre-post app effect on adherence (p < 0.01) in patients with an active account.

Discussion

Our results show that using the growzen™ buddy app has a rapid and positive impact on adherence to r-hGH treatment, and patients who were more engaged with the app demonstrated better adherence.

Risks and benefits associated with the primary functions of artificial intelligence powered autoinjectors

Objectives

This research aims to present and assess the Primary Functions of autoinjectors introduced in ISO 11608-1:2022. Investigate the risks in current autoinjector technology, identify and assess risks and benefits associated with Artificial Intelligence (AI) powered autoinjectors, and propose a framework for mitigating these risks. ISO 11608-1:2022 is a standard that specifies requirements and test methods for needle-based injection systems intended to deliver drugs, focusing on design and function to ensure patient safety and product effectiveness. 'KZH' is an FDA product code used to classify autoinjectors, for regulatory purposes, ensuring they meet defined safety and efficacy standards before being marketed.

Method

A comprehensive analysis of autoinjectors problems is conducted using data from the United States Food and Drug Administration (FDA) database. This database records medical device reporting events, including those related to autoinjectors, reported by various sources. The analysis focuses on events associated with the product code KZH, covering data from January 1, 2008, to September 30, 2023. This research employs statistical frequency analysis and incorporates pertinent the FDA, United Kingdom, European Commission regulations, and ISO standards.

Results

500 medical device reporting events are assessed for autoinjectors under the KZH code. Ultimately, 188 of these events are confirmed to be associated with autoinjectors, all 500 medical devices were seen to lack AI capabilities. An analysis of these events for traditional mechanical autoinjectors revealed a predominant occurrence of malfunctions (72%) and injuries (26%) among event types. Device problems, such as breakage, defects, jams, and others, accounted for 45% of incidents, while 10% are attributed to patient problems, particularly missed and underdoses.

Conclusion

Traditional autoinjectors are designed to assist patients in medication administration, underscoring the need for quality control, reliability, and design enhancements. AI autoinjectors, sharing this goal, bring additional cybersecurity and software risks, requiring a comprehensive risk management framework that includes standards, tools, training, and ongoing monitoring. The integration of AI promises to improve functionality, enable real-time monitoring, and facilitate remote clinical trials, timely interventions, and tailored medical treatments.

Growth Hormone Injection Log Analysis with Electronic Injection Device for Qualifying Adherence to Low-Irritant Formulation and Exploring Influential Factors on Adherence

Introduction

Although the treatment success of long-term growth hormone therapy (GHT) is dependent on maintaining patients' adherence to treatment, marked variations in adherence levels among children with GHT (eg, 7-71% nonadherence) have been reported. Barriers to or promoters of GHT adherence have been discussed and investigated, and digital health technologies, such as electronic GH injection devices, may have the potential to assess adherence to GHT more accurately. Thus, we conducted a multicenter, retrospective cohort study using GH injection log analysis of an electronic GH device, GROWJECTOR®L, to qualify adherence and explore the factors influencing adherence.

Methods

This study enrolled 41 patients (median[range] age, 5.8[3.0 ~ 17.0] years) with short stature from nine Japanese medical institutions. The injection log data (12-48 weeks) were read by smartphones and collected into the data center through a cloud server.

Results

Although cumulative adherence rates remained higher than 95% throughout the observation period, five (12.2%) patients had low adherence (<85%). Subsequently, subgroup and logistic regression analyses for exploring factors affecting adherence revealed that self-selection of GH device and irregular injection schedule (ie, frequent injections after midnight) significantly affected adherence rate (p=0.034 and 0.048, respectively). In addition, higher rates of irregular injections significantly affected low adherence (median[range], 11.26[0.79 ~ 30.50]% vs 0.26[0.00 ~ 33.33]%, p = 0.029).

Discussion

Our study indicated that injection log analysis using an electronic GH device could detect irregular injection schedules due to a night owl or disturbance in lifetime rhythm affecting low adherence and had significant potential to encourage collaborative monitoring of adherence with healthcare providers and patients themselves/caregivers, along with growing autonomy and shared decision-making. Our study suggests the significance of narrative and personal approaches to adherence of patients with GHT and the usefulness of digital devices for such an approach and for removing various barriers to patient autonomy, leading to improvement and maintenance of adherence.

Integration of nurse-led virtual reviews with growth hormone device-linked patient adherence information: a mixed methods feasibility study

Introduction

Easypod-connect™ for childhood growth disorders is a unique connected system that enables transmission of injection adherence information for recombinant human growth hormone (r-hGH). Although this system has the potential to facilitate greater adherence, observational studies have shown declining adherence over prolonged periods when used without additional support. Supplemental nurse practitioner support has been envisaged but not investigated; in this study, we have undertaken feasibility analysis of nurse-led virtual reviews (NVR) in combination with easypod-connect™ in a single centre using quantitative and qualitative analyses.

Aims

We aimed to test feasibility by assessing compliance with NVR, height standard deviation score (SDS) gain, adherence improvement and patient opinions.

Methods

Patients using easypod™ r-hGH were recruited prospectively to a 12-month study with two telephone NVR appointments in addition to standard of care in-person hospital outpatient visits. A subset was recruited for a semi-structured interview for qualitative thematic analysis.

Results

Forty-three patients of median (range) age 10.7 (6.7, 15.2) were recruited for a period of 1.1 (0.7, 1.8) years. Thirty-three (76.7%) patients were fully compliant with NVR integration with easypod-connect™, establishing feasibility. Median (inter-quartile range, IQR) height SDS improved from -1.85 (-2.44, -1.37) to -1.48 (-2.14, -1.07) (p<0.001) while adherence remained similar in the majority from study start [96.5 (88.8, 100.0)] to end [99.0 (94.0, 100.0)]. Qualitative analysis identified themes supporting patient benefit: practicalities of appointments, perceived purpose and significance of virtual reviews, and the importance of optimising growth. Four patients complained of injection pain, of whom two switched to an alternative r-hGH device.

Conclusion

Our study has demonstrated the feasibility of nurse-led virtual review integration with easypod-connect™ in a mixed methods study, laying the foundation for research in larger groups over longer periods. Nurse practitioner supported application of easypod-connect™ offers the potential for improved growth outcomes in all r-hGH devices providing adherence information.

Accelerating digital health literacy for the treatment of growth disorders: The impact of a massive open online course

Background

Growth hormone deficiency (GHD) is a rare disorder characterized by inadequate secretion of growth hormone (GH) from the anterior pituitary gland. One of the challenges in optimizing GH therapy is improving adherence. Using digital interventions may overcome barriers to optimum treatment delivery. Massive open online courses (MOOCs), first introduced in 2008, are courses made available over the internet without charge to a large number of people. Here, we describe a MOOC aiming to improve digital health literacy among healthcare professionals managing patients with GHD. Based on pre- and post-course assessments, we evaluate the improvement in participants' knowledge upon completion of the MOOC.

Methods

The MOOC entitled 'Telemedicine: Tools to Support Growth Disorders in a Post-COVID Era' was launched in 2021. It was designed to cover 4 weeks of online learning with an expected commitment of 2 h per week, and with two courses running per year. Learners' knowledge was assessed using pre- and post-course surveys via the FutureLearn platform.

Results

Out of 219 learners enrolled in the MOOC, 31 completed both the pre- and post-course assessments. Of the evaluated learners, 74% showed improved scores in the post-course assessment, resulting in a mean score increase of 21.3%. No learner achieved 100% in the pre-course assessment, compared with 12 learners (40%) who achieved 100% in the post-course assessment. The highest score increase comparing the pre- and the post-course assessments was 40%, observed in 16% of learners. There was a statistically significant improvement in post-course assessment scores from 58.1 ± 18.9% to 72.6 ± 22.4% reflecting an improvement of 14.5% (p < 0.0005) compared to the pre-course assessment.

Conclusion

This "first-of-its-kind" MOOC can improve digital health literacy in the management of growth disorders. This is a crucial step toward improving the digital capability and confidence of healthcare providers and users, and to prepare them for the technological innovations in the field of growth disorders and growth hormone therapy, with the aim of improving patient care and experience. MOOCs provide an innovative, scalable and ubiquitous solution to train large numbers of healthcare professionals in limited resource settings.

Adherence to r-hGH Therapy in Pediatric Growth Hormone Deficiency: Current Perspectives on How Patient-Generated Data Will Transform r-hGH Treatment Towards Integrated Care

Pediatric growth hormone (GH) deficiency is a licensed indication for replacement therapy with recombinant human growth hormone (r-hGH). Treatment, consisting of daily subcutaneous injections, extends from the time of diagnosis until cessation of linear growth at completion of puberty. Suboptimal adherence to r-hGH therapy is common and has been well documented to substantially impair the growth response and achievement of the optimal goal which is attainment of adult height within the genetic target range. The causes of poor adherence are complex and include disease-, patient-, doctor-, and treatment-related factors. Interventions for suboptimal adherence are important for a long-term successful outcome and can include both face-to-face and digital strategies. Face-to-face interventions include behavioral change approaches such as motivational interviewing and non-judgmental assessment. Medical and nursing staff require training in these techniques. Digital solutions are rapidly advancing as evidenced by the electronic digital auto-injector device, easypod® (Merck Healthcare KGaA, Darmstadt, Germany), which uses the web-based easypod® connect platform allowing adherence data to be transmitted electronically to healthcare professionals (HCPs), who can then access GH treatment history, enhancing clinical decisions. Over the past 10 years, the multi-national Easypod® Connect Observational Study has reported high levels of adherence (>85%) from up to 40 countries. The easypod® connect system can be supported by a smartphone app, growlink™, which facilitates the interactions between the patients, their care team, and patient support services. HCPs are empowered by new digital techniques, however, the human-digital partnership remains essential for optimal growth management. The pediatric patient on r-hGH therapy will benefit from these innovations to enhance adherence and optimize long-term response.