Abstract
This paper aims to promote technology usage among older Saudi people by addressing the common problems they encounter around adhering to medication schedules and using mobile health applications. An interactive mobile user interface has been designed based on requirements determined using three inputs: (1) relevant existing research work, (2) interviews with medicine specialists, and (3) a survey of 602 older Saudis. The output from the first input is a set of updated guidelines adapted to the older Saudi population and reconstructed based on cognitive process attributes. The interview output identifies medication adherence issues and proposed solutions. The survey output produced a mobile technology model for older Saudis. The guidelines have been applied to a prototype and then tested in two phases: (1) pilot testing and (2) usability testing. In the testing phase, 50 older Saudi users provided insights into the effectiveness, error safety, and productivity factors of the solution developed, with the results confirming that designing mobile applications based on the model of older users and cognitive attributes improved effectiveness and reduced errors when performing mobile tasks, specifically around adherence to medications. For the productivity factor, the results align with the physical characteristics of the targeted older individuals, who typically require more time than younger people to perform certain tasks.
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References
Durán-Vega, L.A., Santana-Mancilla, P.C., Buenrostro-Mariscal, R., Contreras-Castillo, J., Anido-Rifón, L.E., García-Ruiz, M.A., Montesinos-López, O.A., Estrada-González, F.: An iot system for remote health monitoring in elderly adults through a wearable device and mobile application. Geriatrics 4(2), 34 (2019). https://doi.org/10.3390/geriatrics4020034
Shin, K.O., Yeom, N.-G., Park, H.-S.: Customer happiness and open innovation in the esthetics education for the elderly generation. J. Open Innov. Technol. Mark. Complex. 5(4), 86 (2019). https://doi.org/10.3390/joitmc5040086
Gomes, C. A., Ferreira, S., Sousa, B.: Older Adults’ participation in VIAS’ mobile app design. In: International Conference on Human-Computer Interaction, Cham. (2020). https://doi.org/10.1007/978-3-030-50252-2_1
Concepción-Sánchez, J. Á., Caballero-Gil, P., Suárez-Armas, J., Álvarez-Díaz, N.: Mobile application for elderly assistance in public transport. In: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, (2017). https://doi.org/10.1145/3109761.3158387
Alnanih, R.: Usability issues and design guidelines for user interfaces for elderly users. Int. J. Adv. Sci. Technol. 28(13), 138–148 (2019)
Alsolami, F., Hou, X.Y., Ignacio, C.-V.: Factors affecting antihypertensive medications adherence among hypertensive patients in Saudi Arabia. Hypertension 34, 34–52 (2016)
Kurdi, S., Albannay, R., Alsinan, Z., Islam, A.: Evaluation of medication adherence among patients with chronic diseases in Saudi Arabia. Int. J. Clin. Pract. 75(7), e14253 (2021). https://doi.org/10.1111/ijcp.14253
Kini, V., Ho, P.M.: Interventions to improve medication adherence: a review. Am. Med. Assoc. 320(23), 2461–2473 (2018). https://doi.org/10.1001/jama.2018.19271
Diemert, S., Weber, J., Price, M.: Computable adherence. In: International Conference on Healthcare Informatics (ICHI), (2017). https://doi.org/10.1109/ICHI.2017.96
Huang, S. C., Chang, H.-Y., Jhu, Y.-C., Chen, G.-Y.: The intelligent pill box — design and implementation. In: International Conference on Consumer Electronics, Taiwan, (2014). https://doi.org/10.1109/ICCE-TW.2014.6904076
Bhavya, K., Ragini, B., Anandhapadmanaban, S., Ashifa, A., Kumar, S.S., Suryalakshmi, R.: A smart medicine box for medication Management using IoT. J. Xi’an Univ. Archit. Technol. 12(5), 1169–1174 (2020)
Shinde, S., Kadaskar, T., Patil, P., Barathe, R.: A smart pill box with remind and consumption using IOT. Int. Res. J. Eng. Technol. 4(12), 152–154 (2017)
Jia, J., Yu, J., Hanumesh, R.S., Xia, S., Wei, P., Choi, H., Jiang, X.: Intelligent and privacy-preserving medication adherence system. Smart Health 9–10, 250–264 (2018). https://doi.org/10.1016/j.smhl.2018.07.012
Wu, Q., Zeng, Z., Lin, J., Chen, Y.: AI empowered context-aware smart system for medication adherence. Int. J. Crowd Sci. 1(2), 102–109 (2017). https://doi.org/10.1108/IJCS-07-2017-0006
Minaam, D.S.A., Abd-ELfattah, M.: Smart drugs: improving healthcare using smart pill box for medicine reminder and monitoring system. Future Comput. Inform. J. 3(2), 443–456 (2018). https://doi.org/10.1016/j.fcij.2018.11.008
Bhati, S., Soni, H., Zala, V., Vyas, P., Sharma, Y.: Smart medicine reminder box. IJSTE Int. J. Sci. Technol. Eng. 3(10), 172–177 (2017)
Debevc, M., Kosec, P., Holzinger, A.: Improving multimodal web accessibility for deaf people: sign language interpreter module. Multimed. Tools Appl. 54, 181–199 (2011)
Aldeer, M., Alaziz, M., Ortiz, J., Howard, R. E., Martin, R. P.: A sensing-based framework for medication compliance monitoring. In: Proceedings of the 1st ACM International Workshop on Device-free Human Sensing, New York, NY, USA, (2019). https://doi.org/10.1145/3360773.3360886
Abdullah, A., Lim, T.: Smartmates for medication adherence using non-intrusive wearable sensors. In International Conference on Wireless Mobile Communication and Healthcare, Cham, (2017). https://doi.org/10.1007/978-3-319-58877-3_8
Kalantarian, H., Alshurafa, N., Sarrafzadeh, M.: A survey of diet monitoring technology. IEEE Pervasive Comput. 16(1), 57–65 (2017). https://doi.org/10.1109/MPRV.2017.1
Holzinger, A., Schaupp, K., Eder-Halbedl, W.: An investigation on acceptance of ubiquitous devices for the elderly in a geriatric hospital environment: using the example of person tracking. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) Computers Helping People with Special Needs. ICCHP 2008. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg (2008)
Gashu, K.D., Nurhussien, F., Mamuye, A., Gelaye, K.A., Tilahun, B.: Developing and piloting TB medication and refilling reminder system in Ethiopia. Stud. Health Technol. Inform. 270, 1251–1252 (2020). https://doi.org/10.3233/SHTI200387
Sherif, S., Tan, W.H., Ooi, C.P., Sherif, A., Mansor, S.: LoRa driven medical adherence system. Bull. Electr. Eng. Inform. 9(6), 2294–2301 (2020). https://doi.org/10.11591/eei.v9i6.2195
Alsswey, A., Al-Samarraie, H.: Elderly users’ acceptance of mHealth user interface (UI) design-based culture: the moderator role of age. J. Multimodal User Interfaces 14(1), 49–59 (2020). https://doi.org/10.1007/s12193-019-00307-w
Heldenbrand, S., Martin, B.C., Gubbins, P.O., Hadden, K., Renna, C., Shilling, R., Dayer, L.: Assessment of medication adherence app features, functionality, and health literacy level and the creation of a searchable Web-based adherence app resource for health care professionals and patients. J. Am. Pharm. Assoc. 56(3), 293–302 (2016). https://doi.org/10.1016/j.japh.2015.12.014
Nor, R. M., Mohamadali, N. A., Azmi, K., Marzuki, A., Nor, L. M., Yusof, M.: ScanMed: a mobile medicine adherence application with intake validation using QR code. In: 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M), Jakarta, Indonesia, (2016). https://doi.org/10.1109/ICT4M.2016.033
LeRouge, C., Ma, J., Sneha, S., Tolle, K.: User profiles and personas in the design and development of consumer health technologies. Int. J. Med. Inform. 82(11), e251–e268 (2013). https://doi.org/10.1016/j.ijmedinf.2011.03.006
Lee, C., Coughlin, J.F.: PERSPECTIVE: older adults’ adoption of technology: an integrated approach to identifying determinants and barriers. J. Prod. Innov. Manag. 32(5), 747–759 (2015). https://doi.org/10.1111/jpim.12176
Reddy, G.R., Blackler, A., Popovic, V.: Adaptable interface framework for intuitively learnable product interfaces for people with diverse capabilities. In: Intuitive Interaction, pp. 113–127. CRC Press, Boca Raton (2018)
Sharma, R., Nah, F. F.-H., Sharma, K., Katta, T. S. S. S., Pang, N., Yong, A.: Smart living for elderly: design and human-computer interaction considerations. In: International conference on human aspects of IT for the aged population, (2016). https://doi.org/10.1007/978-3-319-39949-2_11
Zhang, H., Shen, Z., Lin, J., Chen, Y., Miao, Y.: Familiarity design in exercise games for elderly. Int. J. Inf. Technol. 22(2), 1–19 (2016)
Chirayus, K., Nanthaamornphong, A.: Cognitive mobile design guidelines for the elderly: a preliminary study. In: 2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Phuket, Thailand, (2020). https://doi.org/10.1109/ecti-con49241.2020.9157905
Chang, J. J., Binti Zahari, N. S. H., Chew, Y. H.: The design of social media mobile application interface for the elderly. In: 2018 IEEE Conference on Open Systems (ICOS), Langkawi, Malaysia, (2018). https://doi.org/10.1109/ICOS.2018.8632701
Alnanih, R.: Cognitive process-based design implications for mobile user interfaces. Int. J. Emerg. Trends Eng. Res. 7, 523–529 (2019)
Sharp, H., Preece, J., Rogers, Y.: Interaction Design: Beyond Human-Computer Interaction, pp. 65–85. Wiley, New York (2015)
Darvishy, A., Hutter, H.-P.: Recommendations for age-appropriate mobile application design. In: International Conference on Applied Human Factors and Ergonomics, (2017). https://doi.org/10.1007/978-3-319-60597-5_22
Li, Q., Luximon, Y.: Older adults’ use of mobile device: usability challenges while navigating various interfaces. Behav. Inf. Technol. 39(8), 837–861 (2020). https://doi.org/10.1080/0144929X.2019.1622786
Ghorbel, F., Metais, E., Ellouze, N., Hamdi, F., Gargouri, F.: Towards accessibility guidelines of interaction and user interface design for alzheimer’s disease patients. In: ACHI 2017. The Tenth International Conference on Advances in Computer-Human Interactions, Nice, France, (2017). https://hal.archives-ouvertes.fr/hal-03238198
Yin, T., Ali, N.M., Noah, S.A.M.: Interface design guidelines of nutritional information application for the elderly. J. Teknol Mklm dan Multimed Asia Pasifik 5(1), 1–13 (2016)
Muskens, L., van Lent, R., Vijfvinkel, A., van Cann, P., Shahid, S.: Never too old to use a tablet: designing tablet applications for the cognitively and physically impaired elderly. In: International Conference on Computers for Handicapped Persons, (2014). https://doi.org/10.1007/978-3-319-08596-8_60
Hollinworth N., Hwang, F.: Investigating familiar interactions to help older adults learn computer applications more easily. In: Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction 25, (2011). https://doi.org/10.14236/ewic/HCI2011.79
Mi, N., Cavuoto, L.A., Benson, K., Smith-Jackson, T., Nussbaum, M.A.: A heuristic checklist for an accessible smartphone interface design. Univ. Access Inf. Soc. 13(4), 351–365 (2014). https://doi.org/10.1007/s10209-013-0321-4
Salman, H.M., Ahmad, W.F.W., Sulaiman, S.: Usability evaluation of the smartphone user interface in supporting elderly users from experts’ perspective. IEEE Access 6, 22578–22591 (2018). https://doi.org/10.1109/ACCESS.2018.2827358
Naumann, A.B., Wechsung, I., Hurtienne, J.: Multimodal interaction: A suitable strategy for including older users? Interact. Comput. 22(6), 465–474 (2010). https://doi.org/10.1016/j.intcom.2010.08.005
Al-Razgan, M., Al-Khalifa, H.S.: Sahl: a touchscreen mobile launcher for arab elderly. J. Mobile Multimed. 13(1–2), 75–99 (2017)
Reddy, G.R., Blackler, A., Popovic, V., Thompson, M.H., Mahar, D.: The effects of redundancy in user-interface design on older users. Int. J. Human Comput. Stud. 137, 102385 (2020). https://doi.org/10.1016/j.ijhcs.2019.102385
Restyandito, E.K., Widagdo, T.: Mobile application menu design for elderly in indonesia with cognitive consideration. J. Phys. Conf. Ser. 1196(1), 012058 (2019). https://doi.org/10.1088/1742-6596/1196/1/012058
Baharum, A., Zain, N.M., Taharudin, A., Hanapi, R., Saudi, A., Alfred, R.: Guidelines of user interface design for elderly mobile applications: a preliminary study. Asian J. Inf. Technol. 16(1), 38–44 (2017). https://doi.org/10.3923/ajit.2017.38.44
Sookhanaphibarn, K., Ketchaikosoal, V., Kanjanayothin, C.: Optimum button size and reading character size on mobile user interface for Thai elderly people. In: IEEE 6th Global Conference on Consumer Electronics (GCCE), (2017). https://doi.org/10.1109/GCCE.2017.8229479
Po-Chan, Y.: The influence of the interface button design of touch screens on operation and interpretation by elderly and middle-aged adults. Designs 3(3), 35 (2019). https://doi.org/10.3390/designs3030035
World Population Review: Saudi Arabia population. (2020). Available: https://worldpopulationreview.com/countries/saudi-arabia-population
Select Statistical Services: Population proportion - sample size. Available: https://select-statistics.co.uk/calculators/sample-size-calculator-population-proportion/
Morisky, D.E., Ang, A., Krousel-Wood, M., Ward, H.J.: Predictive validity of a medication adherence measure in an outpatient setting. J. Clin. Hypertens. 10(5), 348–354 (2008). https://doi.org/10.1111/j.1751-7176.2008.07572.x
Ministry of Health Saudi Arabia: What is aging? Elderly health. (2020). Available: https://www.moh.gov.sa/en/HealthAwareness/EducationalContent/Health-of-Older-Persons/Pages/What-Is-Aging.aspx
United Nations Population Fund (UNFPA): Ageing. (2020). Available: https://www.unfpa.org/ageing
Salary Explorer: Average salary in Saudi Arabia, (2021). Available: http://www.salaryexplorer.com/salary-survey.php?loc=191&loctype=1
Nielsen, J.: How many test users in a usability study. Nielsen Norman Group 4(6), 1–10 (2012)
Alnanih, R., Ormandjieva, O., Radhakrishnan, T.: A new quality-in-use model for mobile user interfaces. In: 2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement, Ankara, Turkey, (2013)
Sauro, J.: A practical guide to measuring usability. Meas. Usabil. LLC Denver 12, 10–20 (2010)
Kirkpatrick, A., Connor, J. O., Campbell, A., Cooper, M.: Web content accessibility guidelines (WCAG) 2.1. World Wide Web Consortium (W3C) Recommendation, (2018). Available: https://www.w3.org/TR/WCAG/#contrast-minimum
Verou, L.: Web content accessibility guidelines (WCAG) 2.1 on contrast ratio. W3C Recommendation, (2018). Available: https://contrast-ratio.com/
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Appendices
Appendix A: Description of applied guidelines
Guideline | Cognitive attribute guidelines |
---|---|
Attention | |
G1.1 | Content-oriented navigation is used in the form of a grid menu (based on preference P3.1) for the medication screen. However, a navigation bar (which supports G1.3) is implemented for the caregiver and independent screens, because these users are expected to have more advanced technical expertise |
G1.2 | All the options on the “add medication” screen are visible to the user |
G1.6 | The use of scrolling was avoided on all screens to the extent possible. For example, on the “add medication” screen, the entries are divided into two screens and separated by the “Next” button to avoid scrolling. Scrolling is only used if the number of medications increases |
G1.7 | On the “medication follow-up” screen, a back-to-top button has been added to enable the user to instantly jump to the screen’s home position |
G1.9 | Consistency was considered for all of the application’s visual elements: |
- Font (Proxima Nova and Arial) | |
- Color (three colors were used) | |
- Size (standardized) | |
- Style of icons and menus | |
G1.10 | The application does not contain ads and uses a plain background to avoid distractions |
G1.11 | Pop-up windows are never used, with designers replacing them with other design items |
G1.12 | The movement of opening the pillbox is not simulated to avoid animation |
G1.13 | Different information is categorized using different colors on the medication screen: |
- Red for expired medications | |
- Green for full medications | |
- Gray for medications that are nearly empty | |
Perception and recognition | |
G2.1 | Simple and descriptive language has been used to make it easier for older people to understand. For example, “Identify medication” instead of “Identify,” “Edit profile” instead of “Edit,” and “Add medication” instead of “Add.” |
G2.2, G5.4, G6.1 | There are options on user screens to control volume and vibration |
G2.3 | Arabic numerals were used for all application screens |
G2.4 | Mandatory fields are marked with a red asterisk, and the entire entry header is marked with red in case the user has not filled it in |
G2.5 | Continuous and consistent feedback is provided in all application screens: |
- Confirmation operations messages, such as confirming the addition of an older person (readable feedback); | |
- Changing the color of a button to green after users confirm that they have taken a medication (visual feedback); | |
- Reading the name of a medication when pressed (audio feedback) | |
G2.6 | When entering information, the cursor that appears inside the field in green |
G2.8 | Confirmation messages are shown to the user after completing any task, such as registering or adding medication, and before critical operations, such as deleting medications |
G2.9 | Entries are minimized to the extent possible. An SFDA database has been employed to support the entry process |
G2.11 | The color contrast has been considered in developing the application’s screens, leading to difference ratios between the backgrounds and text ranging from 4.95 to 13.74, achieving AAA or AA level, according to WCAG 2.0 [60] [61] |
G2.16 | Inside the pillbox, the user can hear the name of any medicine by pressing it |
G2.17 | The essential buttons are provided at the top of the screen. These include the “Identify Medication” and “Add Medication” buttons |
G2.19 | According to this guideline and the questionnaire results, which emphasize older people’s abilities to distinguish between active and disabled buttons, user options (inside the pillbox) are restricted as follows: |
- The week’s days are disabled except for the current day | |
- The process of confirming having taken the medication is disabled if it is the wrong time | |
- The current day appears in a different color | |
Memory | |
G3.1 | The bar at the bottom of the screen allows the user to know their current location, because the current screen icon appears in a different color |
G3.2 | All screens have titles (e.g., Medication, Notifications, and Daily Report) |
G3.3 | Navigation and steps have been reduced in all screens. For example, on the pillbox screen, the user can perform many tasks (such as confirming taking the medication, checking the medication, and hearing the name of the medication) on one screen |
G3.4 | The amount of information required to complete the registration process has been reduced. It is limited to name, age, mobile phone number, and caregiver’s password and name |
G3.5 | Medications are divided and grouped according to time of day |
G3.6 | The automatic entry feature has been implemented in the form of using the QR code on the “Add Medication” screen and using the QR code to link the older person’s account with the caregiver’s account without needing to enter the user ID |
G3.7 and G4.3 | The pillbox has been used as a metaphor to generate an idea about how to interact with the application screens, because older people are familiar with pillboxes |
G4.1 | A medication confirmation feature has been added that uses the camera. This is an existing feature of the WhatsApp application, and WhatsApp is a familiar application for older people |
G4.4 | The undo feature is provided for some operations. For example, if users accidentally confirm that they have taken a medication, they can undo it |
G4.5 and G4.6 | The registration process for older users is facilitated by enabling the process’s completion by solely scanning the caregiver’s QR code. Additionally, tutorials have been added to support and facilitate the use of the application |
Reading, speaking, and listening | |
G5.3 | The actions used to operate the application have been minimized, with all application screens depending on two types of actions (click and drag) |
G5.6 | Proxima Nova (a sans-serif font) is used for all English- and French-language screens, with Arial used for all Arabic-language screens |
Problem-solving, planning, reasoning, and decision-making | |
G6.2 | Hierarchical levels have been minimized, with less information required at lower levels. However, note the following: |
- On the “Add Medication” and login screens, three hierarchical levels are used | |
- On the pillbox screen, two hierarchical levels are used |
Appendix B: Description of applied preferences
Preference | Cognitive attribute preferences | Notes |
---|---|---|
Attention | ||
P1.1 | Application views are based on the user’s color preferences (blue, turquoise, or pink), and the choice of these three color tones is based on the need for high contrast, fulfilling G2.11 | Older people prefer blue and pink for fonts and blue and turquoise for backgrounds |
Perception | ||
P2.1 | The days of the week are designed inside the pillbox, starting with Sunday | 60.5% of older people consider the start of the week to be on Sunday |
P2.2 | Redundant (i.e., text with icon) interfaces have been used | |
*Solves the contradiction between G2.12 and G2.13 | 95.3% of older people prefer redundant interfaces, with 4.7% preferring word-based interfaces | |
Memory | ||
P3.1 | Grid menus have been used instead of vertical menus | |
*Resolves the contradiction between G3.8 and G3.9 | 85.9% of older people prefer a grid menu over a vertical menu | |
Learning | ||
P4.1 | A rectangular rather than a circular shape has been adopted for the pillbox | 80.9% of older people prefer the rectangular shape |
Reading, speaking, and listening | ||
P5.1 | An 18-point font size has been adopted as the smallest font used in the application | Font sizes suggested in previous studies varied from 12 to 18 pt. According to the data collected, 90.7% of older users prefer a font size of 18 pt. Therefore, this font size has been adopted as the smallest font |
P5.2 | A family member’s voice is used to deliver reminder messages *Resolves the contradiction between G5.8 and G5.9 | One study suggested using male voices [38], and another study suggested using a voice of the same sex as the user [32]. However, following this paper’s suggestion of using a family member’s voice, as expected, 55.8% of older people preferred this approach |
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Alnanih, R., Balabid, A. & Bahmdean, L. Senior-centered design for mobile medication adherence applications based on cognitive and technology attributes. Univ Access Inf Soc (2023). https://doi.org/10.1007/s10209-023-00979-y
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DOI: https://doi.org/10.1007/s10209-023-00979-y