Sidekick Health has developed a digital behavioral change program (SK-241) specifically designed for people with metabolic derangements and non-alcoholic fatty liver disease (NAFLD). The SK-241 is delivered through a mobile application and aims at improving lifestyle and health outcomes by focusing on improving diet, increasing activity levels and reducing stress. In this study, the feasibility of the newly developed digital behavioral change program (SK-241) will be evaluated in a minimum of 30 individuals with a NAFLD diagnosis. The primary aim is to explore the acceptability of the SK-241 program by its users, in addition to exploring changes in clinical outcomes and medication adherence after a 12-week intervention with 6 months follow up.
Non-alcoholic fatty liver disease (NAFLD) is an umbrella term used to describe a spectrum of liver pathology, characterized by \>5% fat accumulation in the liver (steatosis), among people who drink little or no alcohol. Both genetic and lifestyle-related factors contribute to the pathogenesis of NAFLD. It is strongly associated with metabolic derangements, obesity, insulin resistance and type 2 diabetes mellitus. NAFLD is considered the liver manifestation of metabolic syndrome. NAFLD can progress from a simple steatosis to a more severe and progressive condition, referred to as non-alcoholic steatohepatitis (NASH), which is characterized by additional liver inflammation and hepatocyte injury with or without fibrosis. In general, 20% of NAFLD patients are believed to progress to NASH. Finding convenient and effective ways to incorporate lifestyle changes into daily lives of people with NAFLD and NASH is important. Sidekick Health has developed a digital behavioral change program (SK-241) for NAFLD and NASH patients consisting of an interactive mobile application. The aim of this study is primarily to assess the acceptability and feasibility of adding a digital lifestyle intervention (SK-241) to the standard of care (SoC) for NAFLD patients, by assessing participants engagement, retention and satisfaction with the SK-241 program in a minimum of 30 individuals with a NAFLD diagnosis. In addition, the clinical effectiveness of the program will be explored. A minimum of 30 individuals with a NAFLD diagnosis will be included for a 12-week intervention with 6 months follow-up.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
38
A digital solution that provides remote symptom monitoring and support of healthy lifestyle choices through tasks that are made more attractive with gamification and rewards.
Hjartamiðstöðin
Kopavogur, Iceland
Hjartavernd
Kopavogur, Iceland
Acceptability and feasibility of the digital program (SK-241) - retention.
Assess retention by percentage of users that complete the SK-241 program at week 12. 'Complete the program' is defined as finishing 75% of the program.
Time frame: 12 weeks
Acceptability and feasibility of the digital program (SK-241) - engagement.
Assess engagement by percentage of users that are active in the SK-241 program during the 12 weeks. 'Active' is defined as visiting the application at least once per week.
Time frame: 12 weeks
Acceptability and feasibility of the digital program (SK-241) - satisfaction.
Assess satisfaction based on the scores in the 18-item mobile health (mHealth) App Usability Questionnaire at week 12. Answers are scored on a 7-point Likert scale (ranging from 1 for "strongly disagree"to 7 "strongly agree") and total scores range from 18 to 126. The higher the score, the better the usability.
Time frame: 12 weeks
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on weightloss.
Change in weight, from baseline to week 12 and month 9
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on HbA1c.
Changes, from baseline to week 12 and month 9 in: Hemoglobin A1c (HbA1c), expressed in millimol per mol (mmol/mol).
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on fasting glucose.
Changes, from baseline to week 12 and month 9 in: fasting glucose, measured in millimol per liter (mmol/L)
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on fasting insulin.
Changes, from baseline to week 12 and month 9 in: fasting insulin, measured in picomol per liter (pmol//L)
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on liver function.
Changes, from baseline to week 12 and month 9, in liver enzymes in the serum: Aspartate Aminotransferase (AST), Alanine Aminotransferase (ALT), Gamma- Glutamyl Transferase (GGT), all measured in international units per liter (IU/L)
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on cholesterol.
Changes, from baseline to week 12 and month 9 in: Total cholesterol, Low Density Lipoprotein - Cholesterol (LDL-C), High Density Lipoprotein - Cholesterol (HDL-C), and triglycerides. These are all measured in millimol per liter (mmol/L)
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on hs-CRP.
Changes, from baseline to week 12 and month 9, in: high-sensitivity C-reactive protein (hs-CRP), measured in milligram per liter (mg/L)
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on the cardiovascular risk factor blood pressure
Changes, from baseline to week 12 and month 9, in: Blood pressure in millimeters of mercury (mmHg)
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on the cardiovascular risk factor waist circumference.
Changes, from baseline to week 12 and month 9, in: Waist circumference in centimeters (cm)
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on the cardiovascular risk factor activity level.
Changes, from baseline to week 12 and month 9, in: Activity level, as assessed with an in-app step counter, and measured in number of steps
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on body composition.
Changes in body composition (fat mass and lean mass), measured by dual-energy X-ray absorptiometry (DXA) at baseline, week 12 and 9 months. Fat mass and lean mass are both expressed as percentage (%).
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by exploring its effects on liver fat content.
Changes in liver fat fraction (%) assessed by magnetic resonance imaging-proton density fat fraction (MRI-PDFF) at baseline, week 12 and 9 months.
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by assessing health related quality of life (HRQoL)
Changes in self-reported scores on the EuroQuol Five Dimension - Five Level (EQ-5D-5L) health questionnaire from baseline to week 12 and month 9. EQ-E5-5L scores range from -0.530 to 1, with higher scores indicating a better health status. A score of 1 indicates full health.
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by assessing mental health.
Changes in self-reported scores of the Depression, Anxiety and Stress Scale - 21 Items (DASS-21) questionnaire from baseline to week 12 and month 9. Each question has a Likert scale of 4 options where 0 represents "did not apply to me" to 3 "applied to me very much". The scores on the subscales range from 0 to 42, and low scores indicate a better mental health status.
Time frame: 9 months
The feasibility of adding a digital program (SK-241) to standard of care, by assessing medication adherence.
Changes in self-reported scores on the Morisky Medication adherence Scale (MMAS-8) questionnaire from baseline to week 12 and month 9. The MMAS-8 is an 8-item structured, self-reported medication adherenece measure. Scores on the MMAS-8 range from 0-8, with 0 reflecting high adherence, 1-2 medium adherence and 3-8 low adherence.
Time frame: 9 months
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