Development and Validation of a Self-assessment System Based on a Mobile App to Manage Adult Growth Hormone Deficiency (GrASS)
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|ClinicalTrials.gov Identifier: NCT03525587|
Recruitment Status : Recruiting
First Posted : May 15, 2018
Last Update Posted : May 18, 2018
|First Submitted Date ICMJE||April 17, 2018|
|First Posted Date ICMJE||May 15, 2018|
|Last Update Posted Date||May 18, 2018|
|Actual Study Start Date ICMJE||January 17, 2018|
|Estimated Primary Completion Date||June 30, 2020 (Final data collection date for primary outcome measure)|
|Current Primary Outcome Measures ICMJE
||Changes of quality of life (QoL) from baseline [ Time Frame: 24 months ]
Comparison of changes of QoL score from baseline for each patient within the three different groups. QoL score will be evaluated and compared before and after the use of the integrated system MAGHD App/MAGHD Framework.
|Original Primary Outcome Measures ICMJE
||Changes of outcomes from baseline [ Time Frame: 24 months ]
Comparison of changes of outcomes from baseline for each patient within the three different groups. The following outcomes will be evaluated and compared before and after the use of the integrated system MAGHD App/MAGHD Framework: 1) QoL scores, 2) Well-being scores, 3) Physical activity scores, 4) Sleep quality scores, 5) Sexual function scores, 6) Average levels of insulin-like growth factor 1 (IGF-1), 7) Lipid profile (total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides), 8) Body composition, in terms of % of lean mass and fat mass, 9) Bone mineral density at lumbar site and at femoral site.
|Current Secondary Outcome Measures ICMJE
|Original Secondary Outcome Measures ICMJE
|Current Other Pre-specified Outcome Measures||Not Provided|
|Original Other Pre-specified Outcome Measures||Not Provided|
|Brief Title ICMJE||Development and Validation of a Self-assessment System Based on a Mobile App to Manage Adult Growth Hormone Deficiency|
|Official Title ICMJE||Development and Validation of a Novel Self-assessment System Based on a Mobile App to Manage Adult Growth Hormone Deficiency (MAGHD App): a Single-Centre Model. GrASS (Growth Hormone Deficiency in Adults Self-assessment System)|
Adult Growth Hormone Deficiency (AGHD) is a recognized clinical entity but several barriers concerning patient-clinician communication, inadequate patients' awareness of the disease, low perceived benefit of replacement therapy and poor compliance still remains.
The overall goal of the study is to improve AGHD management through a Smartphone app (MAGHD App: Manage Adult Growth Hormone Deficiency) integrated with a software framework able to merge patients daily data on physical activity, quality of life (QoL), and well-being with clinical data collected in institutional databases. The target population consists of 100 patients with a previous diagnosis of AGHD, whether in treatment with growth hormone or not.
In a prospective 24 months study, MAGHD App will be developed and connected to MAGHD Framework. This system will allow to integrate: 1) Physical Activity Data collected by wearable devices, 2) Patient Related Outcomes Data, periodically inserted by the patients through MAGHD App in response to questions extrapolated from validated questionnaires, 3) HCP Data registered in clinical databases and including medical history, biochemical and radiological examination. Data will converge in MAGHD Framework where they will be analyzed and used to create reports visible to patients (in MAGHD App) and clinicians (by a monitoring dashboard).
The results are expected to positively influence AGHD management by involving patients in care process and giving clinicians a useful tool for clinical practice.
AGHD is widely recognized as a specific clinical entity and recombinant human growth hormone (r-hGH) therapy has become a standard practice since 90s thanks to its beneficial effects on body composition, muscle strength, bone mass, cardiovascular risk and patients' exercise capacity and QoL. All the beneficial effects of r-hGH in AGHD patients have been established mainly on selected populations by both few randomized controlled trials (RCTs) and several clinical trials. Real life studies are also available, but they are mainly based on data collected through multicenter sponsored studies such as the Pharmacia & Upjohn International Metabolic Database (KIMS) and the Hypopituitary Control and Complications Study International Advisory Board (HYPOCCS). All these observational studies suffer from missing data in the original databases and/or lack adequate control group (i.e. untreated GHD patients). Well-conducted real life studies have the advantage to provide information on long-term effects of therapies, as well as on safety, adherence and persistence to therapy. Accordingly, in clinical practice it is common to find a disparity between hormonal levels and patients' subjective well-being: some individuals with a full-blown AGHD do not report any symptom and turn out reluctant to start a treatment, while others with slight GHD experience a deterioration in their QoL that deeply improves after GH replacement. This is mainly due to the fact that clinical presentation of AGHD is frequently based on nonspecific symptoms. Similarly, individual differences in responsiveness to r-hGH are common findings in the real life. Moreover, when other hormonal deficits coexist and patients have to face with a polytherapy, it can be difficult both for clinicians and patients to relate symptoms to the sole AGHD and to verify benefits after treatment. Finally, there is a lack of tools assessing patients' physical activity, which is an important factor to consider when evaluating energy levels, exercise performance, and well-being. Thus, a gap still remains in the real life setting concerning how to measure the improvements occurring in r-hGH treated patients and how to make patients and clinicians more aware of these changes. Nowadays, considering the shortage of established predictive factors for the overall therapeutic response, the decision to whether or not continue treatment depends often on the ratio of perceived and expected beneﬁts over cost and risks of treatment, as well as on the persistent motivation of the patient. These aspects involve also physician's attitude and patient's propensity to start r-hGH replacement therapy. Vice versa the lack of information useful to predict patients' individual response to treatment poses some clinical troubles about how to select patients who may beneficiate from r-hGH therapy. Considering that r-hGH treatment is a chronic therapy requiring a daily self-injection, long-term compliance is still a considerable problem in this setting and is influenced by all the above mentioned issues. It is estimated that about 20 to 30% of patients discontinue the treatment, permanently or for extended periods, making therefore an objective evaluation of the therapeutic effects difficult. All these aspects are enhanced by the paucity of tools available to improve patients' education and awareness of AGHD.
The widespread use of Smartphone applications and wearable devices presents an opportunity to overcome these difficulties in the AGHD management. Although several apps exist to monitor chronic endocrinological diseases, no specific app has been tested in AGHD till now.
In a prospective, 24 months, open-label, monocentric study, an interactive smartphone app (MAGHD App) will be developed, connected to an Integrated Framework (MAGHD Framework) and tested by automatic software testing procedures before the real validation on patients. Subsequently it will be validated on an estimated number of 100 AGHD patients; this system will allow to combine patients' information and HCPs clinical outcomes in a single virtual platform and to return easily accessible data to both AGHD patients and clinicians.
The MAGHD App and the integrated MAGHD Framework will be provided by DataRiver, the research and technological Partner of the study, which is a Contract Research Organization certified by AIFA (Italian drug agency) and accredited as a Research Innovation Institution by the Emilia Romagna Region. The MAGHD software framework will allow integrating patient's Physical Activity data (PA-D), constantly collected by wearable devices (which will be rented and given to patients in the second part of the study), with patient related outcomes data (ePRO-D) and HCP data (HCP-D):
The App will record the number of the user answers as well as the missing ones and will periodically provide a visual satisfaction analogue scale on the use of MAGHD App usability. Patients will be notified by the MAGHD App to promptly answer the periodic surveys. The daily surveys could expire after a predefined time interval to prevent the participants to complete them retrospectively, reducing the risk for recall bias.
The hormonal-biochemical data will be collected at each visit, while the DEXA scan will be performed at baseline, at 12 months and at the end of the study.
PA-D, ePRO-D and HCP-D will converge in the MAGHD Framework where they will be integrated, analyzed and used to create graphs and tables visible both to patients (in MAGHD App) and clinicians (by a monitoring dashboard).
Patients will receive periodically a feedback concerning: i) %change of their QoL, well-being, sleep quality, sexual function and ii) changes in daily physical activities. This kind of report will enhance patient's awareness on day-by-day changes related to their clinical condition. In particular frequent feedback on QoL and well-being will provide a more objective evaluation of these parameters, thus minimizing possible interference due to life events occurred close to the day in which the questionnaires are filled. Moreover, a summary of the patient's clinical outcomes will be provided through the MAGHD App in a simple graphical way in order to communicate changes in serum IGF-1 and lipid profile.
The project will be carried out in 24 months. Months 1-6 will focus on: 1) App development, 2) Integrated Framework development, 3) App testing.
Patient enrollment and baseline visits will occur between months 1 and 6, then six-month visits (visit 1, visit 2, visit 3 and visit 4) will occur in the next 2 years. In the first phase (12 months) the recruited patients, after having signed the informed consent, will be followed every six months according to our normal clinical practice without using the App and the wearable device (baseline, visit 1 and visit 2). Then they will be trained to use the MAGHD App prior to enter the second phase (following 12 months), in which they will be evaluated every six months during the use of the App and the wearable device (visit 3 and visit 4).
HCP data will be collected both in phase 1 (usual follow-up without the use of MAGHD App) and phase 2 (during the use of MAGHD App). Anamnestic, clinical and biochemical data will be collected at each visit (baseline, visit 2, visit 3, visit 4), while DEXA scan (radiological data) will be performed only twice (at baseline and at the end of the protocol).
All the other data will be collected differently in the two consecutive phases:
|Study Type ICMJE||Interventional|
|Study Phase ICMJE||Not Applicable|
|Study Design ICMJE||Allocation: Non-Randomized
Intervention Model: Sequential Assignment
Intervention Model Description:
Masking: None (Open Label)
Patients with a previous documented AGHD fitting the inclusion/exclusion criteria will be enrolled and grouped as follows:
The whole cohort of AGHD patients (n=100) will undergo 2 consecutive phases: in the first phase (12 months) patients will be evaluated as usual every six months according to our standard clinical practice without using the App and the wearable device (baseline visit, visit 1 and visit 2), while in the second phase (following 12 months) they will be evaluated every six months during the use of the App (visit 3 and visit 4).
Primary Purpose: Supportive Care
|Condition ICMJE||Growth Hormone Deficiency|
|Intervention ICMJE||Other: Use of "MAGHD App/MAGHD Framework"
Patients daily related outcomes will be recorded thanks to the development, implementation and validation of a Smartphone app (MAGHD App) integrated with a software framework able to merge patient's daily activities data on well-being status, QoL, physical activities and sexual function with clinical data collected in their record chart (extrapolated from already available Institutional Databases).
|Study Arms ICMJE||
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
|Recruitment Status ICMJE||Recruiting|
|Estimated Enrollment ICMJE
|Original Estimated Enrollment ICMJE||Same as current|
|Estimated Study Completion Date ICMJE||November 30, 2020|
|Estimated Primary Completion Date||June 30, 2020 (Final data collection date for primary outcome measure)|
|Eligibility Criteria ICMJE||
1) Patients who do not plan to continue follow-up at the Endocrinology Unit of Modena 2) Patients with a diagnosis of biochemical GHD outside the appropriate clinical context of pituitary disease 3) Patients with major psychiatric diseases, chronic highly invalidating diseases (these patients will be considered not eligible for being enrolled in the study due to the impact of the underlying disease on well-being and daily activities).
|Ages ICMJE||18 Years and older (Adult, Older Adult)|
|Accepts Healthy Volunteers ICMJE||No|
|Listed Location Countries ICMJE||Italy|
|Removed Location Countries|
|NCT Number ICMJE||NCT03525587|
|Other Study ID Numbers ICMJE||346/17|
|Has Data Monitoring Committee||No|
|U.S. FDA-regulated Product||
|IPD Sharing Statement ICMJE||
|Responsible Party||Vincenzo Rochira, Azienda Ospedaliero-Universitaria di Modena|
|Study Sponsor ICMJE||Azienda Ospedaliero-Universitaria di Modena|
|PRS Account||Azienda Ospedaliero-Universitaria di Modena|
|Verification Date||May 2018|
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