Abstract
Background: Physical activity is recognized as a supportive care in cancer management. Mobile apps have become a common and effective method of promoting physical activity in cancer. The results presented in this paper come from the mobile app design process at the National Institute of Oncology in Morocco. Objectives: This study aimed to describe the short-term changes in physical activity and quality of life in post-cancer treatment, after participating in this mobile app design process. Methods: Twenty-four post-treatment cancer patients participated in a user-centered design process to create a mobile physical activity application. The data collected was based on self-monitoring and self-assessment. The assessment was requested at the beginning and the end of the participation using the International Physical Activity Questionnaire and the SF-12 questionnaire. Results: The physical activity volume rose from 323 MET-min/week (160–410) in the first evaluation to 540 MET-min/week (460–730) after the mobile app participation. Eight of 11 participants have been moved from a low physical activity level to a moderate level. The physical health score rose from 57 (63-37) to 65 (72-54). The mental health score rose from 57 (63-37) to 65 (72-54). Conclusions: A short-term improvement in physical activity and quality of life was observed in post-treatment cancer patients. However, stronger studies are needed to confirm these results.
Downloads
Introduction
Cancer is a public health problem and a major burden for the individual and the community. The cancer functional impact needs a global care approach. Physical activity (PA) is recognized as supportive care and seems safe with scientifically proven benefits on physical capacities and patients' quality of life (QoL) [1].
The PA advice should be aligned with international guidelines in the field. However, there is so much diversity in patients' functional and clinical conditions that it is impossible to give stereotyped PA advice. It requires constant adaptation to patient conditions by healthcare professionals [2]. Maintaining adequate PA levels is a priority for cancer patients in all care pathways [2-4]. However, a lack of healthcare professionals’ knowledge would be one of the barriers to PA advice for patients [2].
Mobile apps have become a common and effective method of promoting PA in cancer patients. “NachateBadani” is a mobile app integrating PA into cancer care designed at the National Institute of Oncology in Morocco. The design methodology for this app was based on the user-centered process. Cancer patients and healthcare professionals participated as users in this process. A multidisciplinary group directed the design procedure. The objective was to provide patients with precise PA advice or initiate self-directed physical exercise programs (PEP). We adhered to behavior modification strategies and international guidelines about PA advice in cancer care. The mobile app assessment of users and two experts has shown positive results. The assessment criteria were usability, quality, and potential for behavior change [5].
This study aimed to describe the short-term changes in PA and QoL in post-cancer treatment, after participating in this mobile app design process.
Materials and Method
Study design
After participating in the mobile app design process, this observational study focused on short-term changes in patients’ PA and QoL in post-cancer treatment.
Setting
Participation in the app begins with completing a form. The questionnaire included sociodemographic, functional, and clinical information. The PA assessment was requested at the beginning and the end of mobile app participation. Self-monitoring was done after each PA session for three months. After each participant check-in, the mobile app automatically counts the individual cumulative PEP compliance averages and the individual cumulative self-satisfaction averages about PA advice compliance. Graphs are available in the personal space and represent the data provided daily by the participant. In Figure 1, some mobile app screenshots show the application home page, the participation form, self-monitoring graphs, and the self-assessment grid.
Participants
A total of 24 post-treatment cancer patients participated in this study. The Sample size was estimated based on previous mobile app design studies in the same area [6-8]. The data collection was carried out between May 2022, and March 2023. Participants met the following criteria: Be a cancer patient or cancer survivor; Be at least 18 years old; Own and use a smartphone; Be able to read at least Arabic; Be willing to participate in maintaining or enhancing the PA level. Participants were recruited during the mobile app design process for PA advice in cancer care at the National Institute of Oncology in Morocco.
Study instrument
The instrument consists of a semi-structured interview, and the data supplied by the form of the "NacheteBadani" mobile app. The wireframes were created using "Bootstrap 5.3 in Front-end, and Bootstrap smart admin in Back-end". The mobile app form includes the International Physical Activity Questionnaire (IPAQ) and the Short form-12 Health Survey Questionnaire (SF-12). The IPAQ was administered before and after mobile app participation. An Arabic IPAQ version was used, which correlates well with the French version, with Spearman's correlation coefficient ranging from 0.91 to 1.00 (p < 0.05) [9]. The IPAQ is a validated generic instrument for subjects aged 15 to 69. It calculates two scores the categorical score and the continuous score. The first classifies individuals into three categories according to their PA level: low, moderate, and high. The second reflects the PA volume expressed in MET-min/week. The MET is the abbreviation of the word “Metabolic Equivalent of Task”, it designates the body’s energy expenditure under optimal conditions at rest [10]. The SF-12 questionnaire was used to assess participants' QoL. It gives two scores: Mental Component Summary (MCS) and Physical Component Summary (PCS). We have used a valid Arabic version of the SF-12 [11].
Statistical analysis
Descriptive statistics were used to describe all of the data. Results were reported as median (Md), interquartile range (IQR), mean (M), first (Q1), and third quartile (Q3). Graphs representing cumulative averages are also available.
Ethical considerations
The study has been approved by the Joint Ethics Committee of the Faculty of Medicine and the Faculty of Pharmacy of the Mohammed V University of Rabat, Morocco (November 2019; CRTN: 104/19). Participants signed a pre-participation consent form that informed them of the intention to publish data from the study.
Results
Twenty-four participants were the first to participate in the mobile app design process. The number of people who completed the participation was reduced from 24 to 18 due to lack of response and loss of sight. The participant's median age was 49 (57-39). PA content given by the mobile app for beneficiaries varied according to their clinical and functional conditions. Among the 24 participants, half received specific PA advice; seven received specific and general PA advice; and five received specific PA advice with PEP (Table 1).
The cumulative averages of participants' self-satisfaction (n=18) with their adherence to PA advice were variable and generally good (MD=72%, IQR=55%-87%). The cumulative averages of self-reported compliance with programs recommended for PEP participants (n=5). The average compliance with the PEP programs was good to excellent, except for the balance and stretching programs. Patient “5” seems to adhere less than other patients to PEP programs.
We found a notable improvement in participants' PA volume and level before and after the mobile app participation. Indeed, the PA volume rose from 323 MET-min/week (160–410) in the first evaluation to 540 MET-min/week (460–730) after the mobile app participation. Thus, Eight of 11 participants have been moved from a low PA level to a moderate PA level. We also found a notable improvement in participants' mental and physical health. The physical health score rose from 57 (63-37) to 65 (72-54). The mental health score rose from 57 (63-37) to 65 (72-54) (Table 2).
Characteristics | Statistics | |
n | Md (IQR) | |
Age (years) | 49 (57-39) | |
Gender | ||
Women | 15 | |
Men | 9 | |
Marital status | ||
Single | 6 | |
Married | 15 | |
Divorced | 2 | |
Widowed | 1 | |
Educational Level | ||
Less than high school | 10 | |
High school degree | 6 | |
University degree | 8 | |
Types of cancer | ||
Breast | 6 | |
Gynecological | 2 | |
Prostate | 3 | |
Gastrointestinal | 2 | |
Pulmonary | 4 | |
Others | 9 | |
BMI | ||
Score (kg/cm2) | 27.12 (29.55-26.17) | |
Underweight | 2 | |
Healthy weight | 9 | |
Overweight | 7 | |
Obesity | 4 | |
PA advice given by the mobile app | ||
PEP + General PA advice | 5 | |
Specific PA advice | 12 | |
Specific and general PA advice | 9 | |
BMI: Body Mass Index; IQR: Interquartile range; Md: Median; n: number; PA: Physical activity; PEP: Physical exercise program; SD: Standard deviation |
Measurements | Before | After | |
IPAQ SCORES | |||
Continuous score (MET-min/week); Md (IQR) | 323 (410-160) | 540 (730-460) | |
Categorical score (n) | Low | 11 | 3 |
Moderate | 7 | 15 | |
High | 0 | 0 | |
SF-12 SCORES | |||
PCS (0-100 ); Md (IQR) | 57 (63-37) | 65 (72-54) | |
MCS (0-100 ); Md (IQR) | 51 (56-40) | 62 (75-49) | |
IQR: Interquartile Range; IPAQ: International Physical Activity Questionnaire; MCS: Mental Component Summary; MET: Metabolic Equivalent of Task; PCS: Physical Component Summary; SF-12: Short form-12 Health Survey Questionnaire |
Discussion
To our Knowledge, “NachateBadani” is the first mobile app designed in this area and adapted to the Moroccan sociocultural and linguistic context. The users' testing has shown positive results about quality, usability, and potential for behavioral change. Compared to previous apps, ours appears to be more global and comprehensive, as it is designed to assist patients and healthcare professionals in the PA advice process and is intended for all cancers and stages of care [5]. However, user testing and clinical efficacy have been weakly correlated. [12].
Although the participants were in the post-treatment phase, they were heterogeneous regarding socio-demographic and clinical variables. To meet this requirement, we designed this mobile app, with all the parameters related to PA advice in cancer care. Several international guidelines in the field were mobilized [13-19]. Only a few PA apps in this area comply with these international guidelines [20].
The short-term improvement in PA and QoL of this mobile app looks promising. These results corroborate the conclusions of Yerrakalva's meta-analysis, which found short-term improvements in sedentary behavior and PA levels after using mobile apps [21]. In Brickwood’s meta-analysis, although mobile apps can increase the number of steps, they seem less effective in reducing sedentary behavior [22]. In addition, a randomized controlled trial showed a positive and promising effect of mobile apps at least in the short term on PA, QoL, intrinsic motivation, and sedentary behavior [23].
However, an educational action aims for long-term behavior change. Consequently, the short-term assessment adopted in this study does not appear to be the best approach.
Limitations
The fact that the patient's PA and QoL have improved in this observational study does not mean that it will not improve if no intervention was done. It is impossible to draw any clinical conclusions. Also, due to the limited sample size, these results should be interpreted cautiously, and cannot be generalized. The aim was not to prove the clinical efficacy of this mobile app. That will be done in a robust trial.
Self-monitoring and self-assessment were the main tools to ensure participants adhered to mobile app PA advice. The IPAQ is not the best instrument to assess PA because participants only remember the last week. In addition, the concordance between the IPAQ and the pedometer is insufficient in overweight or obese patients [24]. Therefore, incorporating a PA tracker such as a pedometer could be useful for objective PA monitoring [22].
Conclusion
The results showed that patients' PA and QoL improved in the short term after participating in the process of designing a mobile app. Although the results were promising, no conclusions regarding clinical effectiveness can be drawn from this study, as it is only an observational study with a small sample size. Clinical trials with more reliable instruments are needed to assess the real effectiveness of this mobile app.
Declarations
Data Availability
The anonymized data used and analyzed during the current study are available from the corresponding author upon reasonable request.
Conflicts of Interest
The authors declare no competing interest.
Funding Statement
No Funding.
Authors’ contributions
YA, SB, and HE participated in the design of the study. The original manuscript was drafted by YA and reviewed by all authors. All authors read and approved the final manuscript.
Acknowledgments
We gratefully thank all study participants. We gratefully thank the Translational Oncology Research Team and the Moroccan Association of Manual Therapy for their technical and administrative support.
References
- Segal R, Zwaal C, Green E, Tomasone JR, Loblaw A, Petrella T. Exercise for people with cancer: a clinical practice guideline. Curr Oncol 2017; 24:40–6. https://doi.org/https://doi.org/10.3747/co.24.3376.
- Azemmour Y, Boutayeb S, Beddaa H, Errihani H. Physical activity in cancer care: barriers and interventions. Pan Afr Med J 2022;43. https://doi.org/10.11604/pamj.2022.43.131.31743.
- Azemmour Y, Beddaa H. Pourquoi recommander l’exercice physique au patient atteint de cancer avancé. Kinésithérapie, La Rev 2021:2021. https://doi.org/10.1016/j.kine.2021.06.002.
- Azemmour Y, Boutayeb S. Apology of physical activity in the prevention of cancer. Kinesitherapie 2019;19:1–2. https://doi.org/10.1016/j.kine.2018.12.009.
- Azemmour Y, Boutayeb S, Elkhalloufi F, Chamlal H, Beddaa H. User ‑ centered design of a mobile app for physical activity advice in cancer care: preliminary study in Morocco at the National Institute of Oncology. BMC Digit Heal 2024. https://doi.org/10.1186/s44247-024-00093-w.
- Marcu G, Plank M, Leader A, Caro K, Barsevick A. Bounce: Designing a Physical Activity Intervention for Breast Cancer Survivors. PervasiveHealth 2018. https://doi.org/https://doi.org/10.1145/3240925.3240927.
- Monteiro-guerra F, Signorelli GR, Tadas S, Zubiete ED. A Personalized Physical Activity Coaching App for Breast Cancer Survivors: Design Process and Early Prototype Testing Corresponding Author: JMIR MHEALTH UHEALTH 2020;8. https://doi.org/10.2196/17552.
- Fuemmeler BF, Holzwarth E, Sheng Y, Do EK, Miller CA, Blatt J, et al. Mila Blooms: A Mobile Phone Application and Behavioral Intervention for Promoting Physical Activity and a Healthy Diet Among Adolescent Survivors of Childhood Cancer. Games Health J 2020;9:279–89. https://doi.org/10.1089/g4h.2019.0060.
- Helou K, El Helou N, Mahfouz M, Mahfouz Y, Salameh P, Harmouche-Karaki M. Validity and reliability of an adapted Arabic version of the long international physical activity questionnaire. BMC Public Health 2017;18:1–8. https://doi.org/10.1186/s12889-017-4599-7.
- International Physical Activity Questionnaire. Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ) - Short and Long Forms. 2005.
- Haddad C, Sacre H, Obeid S, Salameh P, Hallit S. Validation of the Arabic version of the “12-item short-form health survey” (SF-12) in a sample of Lebanese adults. Arch Public Heal 2021;79:1–8. https://doi.org/10.1186/s13690-021-00579-3.
- Singh K, Drouin K, Newmark LP, Lee J, Faxvaag A, Rozenblum R, et al. Many Mobile Health Apps Target High-Need, High-Cost Populations, But Gaps Remain. Health Aff 2016. https://doi.org/10.1377/hlthaff.2016.0578.
- Brown JK, Byers T, Doyle C, Courneya KS, Demark-Wahnefried W, Kushi LH, et al. Nutrition and Physical Activity During and After Cancer Treatment: An American Cancer Society Guide for Informed Choices. CA Cancer J Clin 2003;53:268–91. https://doi.org/10.3322/canjclin.53.5.268.
- Buffart LM, Galvão DA, Brug J, Chinapaw MJM, Newton RU. Evidence-based physical activity guidelines for cancer survivors: Current guidelines, knowledge gaps and future research directions. Cancer Treat Rev 2014;40:327–40. https://doi.org/10.1016/j.ctrv.2013.06.007.
- Hayes SC, Spence RR, Galvão DA, Newton RU. Australian Association for Exercise and Sport Science position stand: Optimising cancer outcomes through exercise. J Sci Med Sport 2009;12:428–34. https://doi.org/10.1016/j.jsams.2009.03.002.
- Schmitz KH, Courneya KS, Matthews C, Galva DA, Pinto BM, Irwin ML et al. I. American College of Sports Medicine Roundtable on Exercise Guidelines for Cancer Survivors. Med Sci Sport Exerc Copyr 2010 by Am Coll Sport Med 2010;0195-9131/.
- Rock CL, Doyle; Colleen, Demark-Wahnefried; Wendy, Meyerhardt; Jeffrey, Courneya KS, Schwartz; Anna L., et al. Nutrition and Physical Activity Guidelines for Cancer Survivors. CA CANCER J CLIN 2012;62:242-274. https://doi.org/10.3322/caac.21142.
- Campbell A, Stevinson C, Crank H. The BASES Expert Statement on Exercise and Cancer Survivorship The BASES Expert Statement on Exercise and Cancer Survivorship. J Sports Sci 2012;30:949–52. https://doi.org/10.1080/02640414.2012.671953.
- Patel A V, Friedenreich CM, Moore SC, Hayes SC, Silver JK, Campbell KL, et al. American College of Sports Medicine Roundtable Report on Physical Activity, Sedentary Behavior, and Cancer Prevention and Control 2019;2018:2391–402. https://doi.org/10.1249/MSS.0000000000002117.
- Knight E, Stuckey MI, Prapavessis H, Petrella RJ. Public Health Guidelines for Physical Activity: Is There an App for That ? A Review of Android and Apple App Stores Corresponding Author: JMIR MHEALTH UHEALTH 2015;3:1–9. https://doi.org/10.2196/mhealth.4003.
- Yerrakalva D, Yerrakalva D, Hajna S, Griffin S. Effects of Mobile Health App Interventions on Sedentary Time, Physical Activity, and Fitness in Older Adults: Systematic Review Corresponding Author: J Med INTERNET Res 2019;21:1–13. https://doi.org/10.2196/14343.
- Brickwood K, Hons B, Watson G, Brien JO, Williams AD. Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis Corresponding Author: 2019;7. https://doi.org/10.2196/11819.
- Gür F, Gür GC, Ayan V. The Effect of the ERVE Smartphone App on Physical Activity, Quality of Life, Self-Efficacy, and Exercise Motivation for Inactive People: A Randomized Controlled Trial. Eur J Integr Med 2020;39:101198. https://doi.org/10.1016/j.eujim.2020.101198.
- Ahmad MH, Salleh R, Safiza N, Nor M, Baharuddin A, Shakira W, et al. Comparison between self-reported physical activity (IPAQ-SF) and pedometer among overweight and obese women in the MyBFF @ home study. BMC Womens Health 2018;18. https://doi.org/10.1186/s12905-018-0599-8.
Copyrights & License
This work is licensed under a Creative Commons Attribution 4.0 International License.