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| Name | Class |
|---|---|
| Horizon 2020 - European Commission | OTHER |
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The objective of the project is to analyze the clinical effectiveness of a gamifield mHealth application (iGAME) and developed in the context of lifestyle modification, but with the approach of the Behaviour Change Technique, through a randomized clinical trial that affects secondary prevention in three clinical subtypes of noncommunicable diseases, where lifestyle modification is the center of its best practice.
Despite digital exposure, gamification of health has been widely understood and often applied ad hoc in health products. Attempts to incorporate game concepts into digital health applications have not led to demonstrated success. Recent studies have shown that only 4% of the best rated health apps in Apple stores and Google Play (based on revenue and download) have gamification elements, but less than 5% of these health apps have been included in the application library of National Health Service. In addition, very little of 5% was developed for industry and health professionals.
If the power of digital technologies, such as games for clear clinical benefits, is not released, opportunities for social and economic burial will be lost for all stakeholders in the digital health and digital economy ecosystem.
A number of factors in this barrier:
The initial hypothesis is that after 12 weeks of participation in the original iGAME application, participants will increase the quantity and distribution of energy consumption, through the estimation of results, data based on acceleration and questionnaires. automatic information In addition, it will also improve satisfaction and lifestyle, as well as the consumption of health services.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention: digital intervention Behaviour Change Technique | Experimental | The assigned participants will receive an intervention based on gamification and the use of behavior change techniques to reduce sedentary lifestyle. Thus, a new mobile application will be used for 12 weeks that proposes to the user the realization of activities with the aim of reducing their sedentary behavior. The development of the application is based on previous analyzes that propose 6 clusters that encompass 33 factors that influence sedentary behavior. In this way, the application is designed to act on the two accessible: social support and behavior. On the social support, he proposes to the user to share his achievements in social networks or in an internal network of game users. In terms of habit modification, behavior modification strategies proposed in the Michie et al. (2013) taxonomy are applied, such as the following: establishment of personalized goals, rewards and reminders, awareness of achievements achieved, among others |
|
| Control Group | No Intervention | The control group will receive the usual indications about the harms of sedentary lifestyle and the benefits of physical activity, not receiving specific intervention. In case the use of the intervention applied in the experimental group is beneficial, the participants assigned to the control group will be offered the opportunity to receive the intervention outside the study to allow the benefit to be used. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Digital intervention | Behavioral | The information group will receive through a mobile application tips to reduce sedentary lifestyle and promote healthy living habits. |
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| Measure | Description | Time Frame |
|---|---|---|
| Change in International Physical Activity Questionnaires (IPAQ) | Patient reported outcome: Physical activity related to a person's health | Change from baseline amount of physical activity at 3 months |
| Measure | Description | Time Frame |
|---|---|---|
| International Sedentary Assessment Tool (ISAT) | Patient reported outcome. It is an evaluation of sedentary behavior. An alternative way to the use of accelerometry for the calculation of energy consumption. | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| Measure | Description | Time Frame |
|---|---|---|
| Age | years old | Baseline |
| Gender | Male or female. | Baseline |
IInclusion Criteria for Breast Cancer Survivors subgroup:
Inclusion Criteria for Low Back Pain subgroup:
Inclusion Criteria for Depression subgroup:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Antonio Cuesta Vargas | Málaga | Spain |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27707829 | Background | Edwards EA, Lumsden J, Rivas C, Steed L, Edwards LA, Thiyagarajan A, Sohanpal R, Caton H, Griffiths CJ, Munafo MR, Taylor S, Walton RT. Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps. BMJ Open. 2016 Oct 4;6(10):e012447. doi: 10.1136/bmjopen-2016-012447. | |
| 23512568 | Background |
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The results emerging from this study are positive, negative or inconclusive with respect to the proposed hypothesis, these will be attempted to publish as scientific production in journals of high impact in the area of knowledge and indexed in Journal Citation Reports of ISI-Thompson, preferably of the 1-2th quartile. In addition, we will try to select Open Acess journals to favor the scientific dissemination of the results. In the same way, the results will be exposed in communications, papers, forums and discussion tables of different scientific and cultural days.
Free access since its publication in impact journals (Q1 - Q2).
Open access.
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| ID | Term |
|---|---|
| D017116 | Low Back Pain |
| D009369 | Neoplasms |
| D003863 | Depression |
| D057185 | Sedentary Behavior |
| ID | Term |
|---|---|
| D001416 | Back Pain |
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
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Two groups study. One group with intervention (app mobile program); second group as control. At the end of the intervention, the control group receives advice of demonstrated effectiveness in the intervention to comply with the ethical principles.
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The system of randomization for the participants is through an external computer system.
| European Quality of Life-5 Dimensions (Euroqol-5D, EQ-5D) | Patient reported outcome. Health index that relates quantity and quality of life. It is applied with a short questionnaire and a visual analogue scale. Each dimension is rated in five levels from 1 ("I have no problem with...") to 5 ("I am unable to..."). Each participant indicates the level that best reflects their state for each of the five dimensions, with which their health status is described by five digits that take values from 1 to 5, with health status 11111 being considered a priori the best state of health and 55555 the worst state of health. The visual analogue scale is scored from 0 (without pain) to 100 (worst pain). | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| MedRisk Instrument for Measuring Patient Satisfaction With Physical Therapy Care (MRPS) | Patient reported outcome: tool designed to assess patient satisfaction with physiotherapy care through intrinsic and extrinsic factors. The instrument consists of 10 specific items and 2 global items scored from 1 (strongly disagree) to 5 (strongly agree). The means of items 1 through 3 and 4 through 10 are calculated to determine the mean score for external and internal subscales, respectively. Total score from 0 (worst patient satisfaction) to 5 (best patient satisfaction). | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| Piper Fatigue Scale (PFS). Oncology breast survivors subgroup | Patient reported outcome:Questionnaire designed to evaluate cancer-related fatigue in breast cancer survivors. Composed of 22 numerically scaled, "0" to "10" items that measure four dimensions of subjective fatigue: behavioral/severity, affective meaning, sensory and cognitive/mood. To calculate the total fatigue score, add the 22-item scores together and divide by 22 in order to keep the score on the same numeric "0" to "10" scale. Severity codes: 0 none, 1-3 mild, 4-6 moderate, 7-10 severe. | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| Fear-avoidance Components Scale (FACS). Oncology breast survivors subgroup | Patient reported outcome: quantification of existing fear-avoidance components in patients with medical conditions associated with pain. 20 question related to painful medical condition. 5 = Completely Agree 4 = Mostly Agree 3 = Slightly Agree 2 = Slightly Disagree 1 = Mostly Disagree0 = Completely Disagree. Higher values represent a worse outcome. | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| Rolland-Morris Questionnaire (RMQ). Low back pain subgroup | patient reported outcome. Assessment the degree of physical disability related to non-specific low back pain, understanding physical disability as limitation in the performance of activities of daily life. | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| Spine Functional Index (SFI). Low back pain subgroup | Patient reported outcome.Assessment the functionality of the column as a whole | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| MINI Interview. Depression Subgroup. | Brief structured diagnostic interview to generate diagnoses DSM-IV and ICD-10 | Baseline |
| PHQ-9 | Patient reported outcome. Assessment the presence and severity of depressive symptoms, relating to the last days of the previous week. | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| International Physical Activity Questionnaires (IPAQ) | Patient reported outcome: Physical activity related to a person's health | Five measures will be carried out. 1st the beginning of the study. 2nd measurement after 1.5 months. 3rd measurement 3 months from the beginning. 4th measure 6 months from the beginning. 5th measure: 12 months from the begin. |
| Height |
measure in meters |
| Baseline |
| Weight | measure in kg | Baseline |
| Body mass index (BMI) | kg/m2 | Baseline |
| Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013 Aug;46(1):81-95. doi: 10.1007/s12160-013-9486-6. |
| 26045249 | Background | Hoeppner BB, Hoeppner SS, Seaboyer L, Schick MR, Wu GW, Bergman BG, Kelly JF. How Smart are Smartphone Apps for Smoking Cessation? A Content Analysis. Nicotine Tob Res. 2016 May;18(5):1025-31. doi: 10.1093/ntr/ntv117. Epub 2015 Jun 4. |
| 23325302 | Background | Wolf JA, Moreau JF, Akilov O, Patton T, English JC 3rd, Ho J, Ferris LK. Diagnostic inaccuracy of smartphone applications for melanoma detection. JAMA Dermatol. 2013 Apr;149(4):422-6. doi: 10.1001/jamadermatol.2013.2382. |
| 37316318 | Derived | Cuesta-Vargas AI, Biro A, Escriche-Escuder A, Trinidad-Fernandez M, Garcia-Conejo C, Roldan-Jimenez C, Tang W, Salvatore A, Nikolova B, Muro-Culebras A, Martin-Martin J, Gonzalez-Sanchez M, Ruiz-Munoz M, Mayoral F. Effectiveness of a gamified digital intervention based on lifestyle modification (iGAME) in secondary prevention: a protocol for a randomised controlled trial. BMJ Open. 2023 Jun 14;13(6):e066669. doi: 10.1136/bmjopen-2022-066669. |
| D013568 |
| Pathological Conditions, Signs and Symptoms |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |