The Role of Age, Education, and Digital Health Literacy in the Usability of Internet-Based Cognitive Behavioral Therapy for Chronic Pain: Mixed Methods Study
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Abstract
Background: Internet-based cognitive behavior therapy (iCBT) can be effective in mental and somatic health care. Research on the feasibility of internet interventions in clinical practice is, however, still scarce. Studies with a focus on the patient regarding usability of interventions and digital health literacy skills are especially lacking. Objective: The goal of this study was to assess the usability of an iCBT for chronic pain, Master Your Pain, and the relationship between its usability outcomes and the factors age, educational level, and digital health literacy skills. The aims were to determine what changes were needed in the program for sufficient usability and which individual characteristics were related to the usability of the program. Methods: Patients were recruited from two mental health care practices. A mixed methods approach was used in this study. A qualitative observational study comprising performance tasks in the iCBT program was used to test usability. A quantitative questionnaire was used to measure possible related constructs. Usability was operationalized as the number of tasks that could be completed and the type and number of problems that occurred while doing so. Performance tasks were set up to measure 6 digital skills: (1) operating the computer and internet browser, (2) navigation and orientation, (3) using search strategies, (4) evaluating relevance of content, (5) adding personal content, and (6) protecting and respecting privacy. Participants were asked to think aloud while performing the tasks, and screen activities and webcam recordings were captured. The qualitative observational data was coded using inductive analysis by two independent researchers. Correlational analyses were performed to test how usability relates to sociodemographics and digital health literacy. Results: A total of 32 patients participated, with a mean age of 49.9 years and 84% (27/32) being female. All performance tasks except one (fill in a diary registration) could be completed independently by more than 50% of the participants. On operational, navigation, and search levels, participants struggled most with logging in, logging out, and finding specific parts of the intervention. Half of the sample experienced problems evaluating the relevance and adding content to the program to some extent. Usability correlated moderately negatively with age and moderately positively with digital health literacy skills but not with educational level. Conclusions: The results provide insight into what is essential for proper usability regarding the design of an iCBT program considering variations in age, educational level, and digital health literacy. Furthermore, the results provide insight into what type of support is needed by patients to properly use the intervention. Tailoring support among the needs of certain age groups or skill levels could be beneficial and could range from no extra support (only online feedback, as intended) to practical support (an additional usability introduction session) to blended care (combined face-to-face sessions throughout the therapy).
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Digital health literacy is an important element of technology adoption.
“First and foremost, the study adds to the evidence that digital health literacy is an important element of technology adoption (van der Vaart et al., 2019).”
From Sociodemographics and Digital Health Literacy in Using Wearables for Health Promotion and Disease Prevention: Cross-Sectional Nationwide Survey in Germany (2025) · cites this paper as van der Vaart et al., 2019
The Introduction (page unavailable) describes digital health literacy as skills needed for effective use of internet interventions. The Discussion, Principal Findings (page unavailable), reports that literacy scores correlated with completed tasks in the study’s iCBT platform. This supports its importance for using that intervention, but the paper does not establish its role in technology adoption more generally. (LLM, conf=0.82)
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Cites
A General Inductive Approach for Analyzing Qualitative Evaluation Data
Thomas, D. R. (2006) · American Journal of Evaluation · doi:10.1177/1098214005283748 · Cited by 10,858 · see citing works
Ericsson (1993) · doi:10.1037/0033-295x.87.3.215 · Cited by 4,539 · see citing works
eHealth Literacy: Essential Skills for Consumer Health in a Networked World.
Norman, C. D., & Skinner, H. A. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.2.e9 · Cited by 2,643 · see citing works
A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies
van Gemert-Pijnen, J. E., Nijland, N., van Limburg, M., Ossebaard, H. C., Kelders, S. M., Eysenbach, G., & Seydel, E. R. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1672 · Cited by 1,126 · see citing works
Andersson, G., Cuijpers, P., Carlbring, P., Riper, H., & Hedman, E. (2014) · World Psychiatry · doi:10.1002/wps.20151 · Cited by 1,077 · see citing works
Methods to support human-centred design
MAGUIRE, M. (2001) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.2001.0503 · Cited by 1,057 · see citing works
van der Vaart, R., & Drossaert, C. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6709 · Cited by 687 · see citing works
Jaspers, M. W. M. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.10.002 · Cited by 649 · see citing works
Diviani, N., van den Putte, B., Giani, S., & van Weert, J. C. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4018 · Cited by 638 · see citing works
Mixing Online and Face-to-Face Therapy: How to Benefit From Blended Care in Mental Health Care
Wentzel, J., van der Vaart, R., Bohlmeijer, E. T., & van Gemert-Pijnen, J. E. W. C. (2016) · JMIR Mental Health · doi:10.2196/mental.4534 · Cited by 371 · see citing works
van Beugen, S., Ferwerda, M., Hoeve, D., Rovers, M. M., Spillekom-van Koulil, S., van Middendorp, H., & Evers, A. W. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2777 · Cited by 189 · cited 1× · see citing works
“Internet interventions are effective for treating patients with a broad range of mental health problems and supporting patients in their coping and self-management of chronic somatic conditions [1,2].”
BackgroundSelf-citationvan Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2014) · Information Communication & Society · doi:10.1080/1369118x.2014.994544 · Cited by 168 · see citing works
Effectiveness of Guided Internet-Based Cognitive Behavior Therapy in Regular Clinical Settings
Andersson, G., & Hedman, E. (2013) · Verhaltenstherapie · doi:10.1159/000354779 · Cited by 165 · cited 1× · see citing works
“However, less studied is the extent to which these interventions are feasible to use in clinical practice for a heterogeneous patient population [3].”
Internet Skills Performance Tests: Are People Ready for eHealth?
van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1581 · Cited by 163 · see citing works
van der Vaart, R., Drossaert, C. H. C., de Heus, M., Taal, E., & van de Laar, M. A. F. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2428 · Cited by 128 · see citing works
Folker, A. P., Mathiasen, K., Lauridsen, S. M., Stenderup, E., Dozeman, E., & Folker, M. P. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.02.001 · Cited by 116 · cited 1× · see citing works
“Over the past few years it has become clear that implementing internet interventions into regular health care is challenging [4-6], but the focus on the needs and skills of patients in this matter has been minimal.”
Ferwerda, M., van Beugen, S., van Middendorp, H., Spillekom-van Koulil, S., Donders, A. R. T., Visser, H., Taal, E., Creemers, M. C. W., van Riel, P. C. L. M., & Evers, A. W. M. (2017) · Pain · doi:10.1097/j.pain.0000000000000845 · Cited by 85 · cited 1× · see citing works
“Master Your Pain is derived from an evidence-based iCBT platform for chronic somatic conditions [15,16].”
BackgroundSelf-citationvan Beugen, S., Ferwerda, M., Koulil, S. S., Smit, J. V., Zeeuwen-Franssen, M. E. J., Kroft, E. B. M., de Jong, E. M. G. J., Otero, M. E., Donders, A. R. T., van de Kerkhof, P. C. M., et al. (2016) · Psychotherapy and Psychosomatics · doi:10.1159/000447267 · Cited by 68 · see citing works
Self-citationThe Implementation of Internet Interventions for Depression: A Scoping Review
Drozd, F., Vaskinn, L., Bergsund, H. B., Haga, S. M., Slinning, K., & Bjørkli, C. A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5670 · Cited by 60 · see citing works
Differential Diagnosis in Adult Neuropsychological Assessment
Donders, J. (2005) · Brain Injury · doi:10.1080/02699050500250037 · Cited by 47 · see citing works
van der Vaart, R., Atema, V., & Evers, A. W. M. (2016) · BMC Family Practice · doi:10.1186/s12875-016-0424-0 · Cited by 47 · see citing works
Self-citationWallin, E., Norlund, F., Olsson, E. M. G., Burell, G., Held, C., & Carlsson, T. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9690 · Cited by 36 · see citing works
Becoming an eCoach: Training therapists in online cognitive-behavioral therapy for chronic pain
Terpstra, J. A., van der Vaart, R., Spillekom-van Koulil, S., van Dam, A., Rosmalen, J. G. M., Knoop, H., van Middendorp, H., & Evers, A. W. M. (2018) · Patient Education and Counseling · doi:10.1016/j.pec.2018.03.029 · Cited by 17 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [24]Nielsen J Usability Engineering. 2nd Edition 1993 Burlington Morgan Kaufmann Publishers
Cited by
Sorted by citations
Digital literacy as a new determinant of health: A scoping review
Arias López, M. D. P., Ong, B. A., Borrat Frigola, X., Fernández, A. L., Hicklent, R. S., Obeles, A. J. T., Rocimo, A. M., & Celi, L. A. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000279 · Cited by 422 · see citing works
Digital Health Literacy: Bibliometric Analysis
Yang, K., Hu, Y., & Qi, H. (2022) · Journal of Medical Internet Research · doi:10.2196/35816 · Cited by 188 · see citing works
Liu, S., Zhao, H., Fu, J., Kong, D., Zhong, Z., Hong, Y., Tan, J., & Luo, Y. (2022) · BMC Public Health · doi:10.1186/s12889-022-13378-4 · Cited by 133 · see citing works
Atkins, N., & Mukhida, K. (2022) · Canadian journal of pain = Revue canadienne de la douleur · doi:10.1080/24740527.2022.2104699 · Cited by 62 · see citing works
Addressing health literacy in the digital domain: insights from a literature review
Palumbo, R., Nicola, C., & Adinolfi, P. (2022) · Kybernetes · doi:10.1108/k-07-2021-0547 · Cited by 67 · see citing works
Jiao, W., Chang, A., Ho, M. K. W., Lu, Q., Liu, M. T., & Schulz, P. J. (2023) · Journal of Medical Internet Research · doi:10.2196/47595 · Cited by 87 · see citing works
Ha, S., Ho, S. H., Bae, Y.-H., Lee, M., Kim, J. H., Kim, J. H., & Lee, J. (2023) · Journal of Medical Internet Research · doi:10.2196/50029 · Cited by 57 · see citing works
Hu, E. A., Nguyen, V. L., Langheier, J., & Shurney, D. W. (2020) · Journal of Medical Internet Research · doi:10.2196/19634 · Cited by 35 · see citing works
Effect of Prior Health Knowledge on the Usability of Two Home Medical Devices: Usability Study
Chaniaud, N., Métayer, N., Mégalakaki, O., & Loup‐Escande, É. (2020) · JMIR mhealth and uhealth · doi:10.2196/17983 · Cited by 27 · see citing works
Expanding a Behavioral View on Digital Health Access: Drivers and Strategies to Promote Equity
Kepper, M. M., Fowler, L. A., Kusters, I. S., Davis, J. W., Baqer, M., Henson, S. J. S., Xiao, Y., Tarfa, A., Yi, J. C., Gibson, B., et al. (2024) · Journal of Medical Internet Research · doi:10.2196/51355 · Cited by 30 · see citing works
Pan, C.-C., De Santis, K. K., Muellmann, S., Hoffmann, S., Spallek, J., Barnils, N. P., Ahrens, W., Zeeb, H., & Schüz, B. (2025) · Journal of Prevention · doi:10.1007/s10935-024-00821-y · Cited by 23 · see citing works
Chaniaud, N., Mégalakaki, O., Capo, S., & Loup‐Escande, É. (2021) · JMIR Human Factors · doi:10.2196/24846 · Cited by 23 · see citing works
Zhou, S., Ni, Z., Ogihara, A., & Wang, X. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19138221 · Cited by 23 · see citing works
How smart senior care can achieve value co-creation: Evidence from China
Fu, L., Pei, T., Yang, J., & Han, J. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.973439 · Cited by 20 · see citing works
Health literacy in individuals with knee pain—a mixed methods study
Sylwander, C., Wahl, A. K., Andersson, M. L. E., Haglund, E., & Larsson, I. (2023) · BMC Public Health · doi:10.1186/s12889-023-16585-9 · Cited by 11 · see citing works
An Intelligent Digital Learning Platform to Enhance Digital Health Literacy
Eumbunnapong, K., Wannapiroon, P., & Pornpongtechavanich, P. (2022) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v17i04.27907 · Cited by 11 · see citing works
The effects of a mobile-based multi-domain intervention on cognitive function among older adults
Kim, J., Ko, M., Lee, J., & Kim, Y. (2023) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2023.102165 · Cited by 9 · see citing works
Measures of eHealth Literacy: Options for the Malaysian Population
Malaysia, U. K., & Azlan, A. A. (2019) · Jurnal Komunikasi Malaysian Journal of Communication · doi:10.17576/jkmjc-2019-3504-13 · Cited by 7 · see citing works
Phang, Y. S., Heaukulani, C., Martanto, W., Morris, R., Tong, M. M., & Ho, R. (2023) · JMIR Human Factors · doi:10.2196/42167 · Cited by 7 · see citing works
Hafiz, P., Maxhuni, A., & Bardram, J. E. (2020) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi48887.2020.9374342 · Cited by 6 · see citing works
Wulandari, R., Pangarsa, E. A., Andono, P. N., Rachmani, E., Sidiq, M., Setyowati, M., & Waluyo, D. E. (2022) · Asian Pacific Journal of Cancer Prevention · doi:10.31557/apjcp.2022.23.12.4169 · Cited by 9 · see citing works
Rodrigues, T. C., Breeman, L. D., Kinik, A., Reijnders, T., Dusseldorp, E., Janssen, V. R., Kraaijenhagen, R. A., Atsma, D. E., & Evers, A. W. M. (2023) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001242 · Cited by 7 · see citing works
Self-citationPadalkar, T. V., Hildreth, K., Rocque, G. B., Ingram, S. A., Whitlow, O., Chu, D. I., Shao, C. C., Williams, C., Hardy, C. M., Huang, C.-H. S., et al. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22010041 · Cited by 5 · see citing works
Semonella, M., Marchesi, G., Castelnuovo, G., Andersson, G., & Pietrabissa, G. (2024) · Digital Health · doi:10.1177/20552076241258419 · Cited by 4 · see citing works
Digital Transformation in Healthcare: Are patients ready to adopt eHealth in Primary Health Care
Rachmani, E., Haikal, Mubarokah, K., Anjani, S., Handayani, S. S., Setyowati, M., Nurjanah, N., & Yanuar, A. M. F. (2021) · International Seminar on Application for Technology of Information and Communication (iSemantic) · doi:10.1109/isemantic52711.2021.9573228 · Cited by 3 · see citing works
Managing Older Adults' Chronic Pain: Lower-Risk Interventions
Arnstein, P. M., Shade, M. Y., Herr, K., Young, H. M., & Fishman, S. M. (2023) · AJN American Journal of Nursing · doi:10.1097/01.naj.0000919740.00088.93 · Cited by 3 · see citing works
Rachmani, E., Haikal, Pa, F. D., Setiono, O., Anjani, S., & Wulandari, F. (2023) · International Seminar on Application for Technology of Information and Communication (iSemantic) · doi:10.1109/isemantic59612.2023.10295354 · Cited by 3 · see citing works
Cardon, C., Bernard, C., Chaniaud, N., & Loup‐Escande, É. (2023) · Journal of Medical Systems · doi:10.1007/s10916-023-01922-7 · Cited by 2 · see citing works
Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives
Stara, V., Maranesi, E., Möller, J., Palmier, C., Ogawa, T., Browne, R., Luc, M., Wieching, R., Boudy, J., & Bevilacqua, R. (2024) · Healthcare · doi:10.3390/healthcare12030381 · Cited by 2 · see citing works
Managing Older Adults' Chronic Pain
Arnstein, P. M., Shade, M. Y., Herr, K., Young, H. M., & Fishman, S. M. (2023) · Home Healthcare Now · doi:10.1097/nhh.0000000000001179 · Cited by 1 · see citing works
Butruille, J., Cirnat, N., Alaoui, M., Saracco, J., Cousein, E., & Chaniaud, N. (2024) · JMIR Human Factors · doi:10.2196/65959 · Cited by 1 · see citing works
Adams, A., Miller-Lewis, L. R., & Tieman, J. (2024) · Informatics for Health and Social Care · doi:10.1080/17538157.2024.2433942 · Cited by 1 · see citing works
Chae, M.-O., Jeon, H. O., & Kim, A. (2025) · Journal of Korean Biological Nursing Science · doi:10.7586/jkbns.25.017 · Cited by 1 · see citing works
Gretton, A., Sapkota, R. P., Orobosa, G. O., Dear, B. F., Titov, N., & Hadjistavropoulos, H. D. (2026) · Internet Interventions · doi:10.1016/j.invent.2026.100998 · Cited by 1 · see citing works
Knowledge Map Analysis of Digital Empowerment Theme under the Background of Big Data
Bao, X., Li, Y., & Zhang, S. (2023) · International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) · doi:10.1109/icccbda56900.2023.10154892 · Cited by 1 · see citing works
Chaniaud, N., & Loup‐Escande, É. (2024) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2024.2381452 · Cited by 1 · see citing works
Importance and Usability of University Websites
Çağlar, E. (2021) · Advances in web technologies and engineering book series · doi:10.4018/978-1-7998-7848-3.ch001 · Cited by 1 · see citing works
Chaniaud, N., Mégalakaki, O., Capo, S., & Loup‐Escande, É. (2020) · Preprints.org · doi:10.20944/preprints202009.0305.v1 · Cited by 1 · see citing works
Bertuzzi, V., Semonella, M., Castelnuovo, G., Andersson, G., & Pietrabissa, G. (2023) · doi:10.2196/preprints.46692 · Cited by 1 · see citing works
Liu, S., Zhao, H., Fu, J., Kong, D., Zhong, Z., Hong, Y., Tan, J. Y., & Luo, Y. (2021) · doi:10.2196/preprints.35450
Bohm‐Starke, N., & Johannesson, U. (2022) · doi:10.1002/9781119755173.ch37
Suri, V. R., Gonzales, A. L., & Singh, R. (2022) · Communications in computer and information science · doi:10.1007/978-3-030-99885-1_7
Factors Influencing the Perception and its Impact on Self-rated Health: A Cross-sectional Survey
Singh, L., Sahithi, B., Ahad, H. A., Kumar, B. P., & Madhusudhan, V. (2023) · Global Journal of Medical Pharmaceutical and Biomedical Update · doi:10.25259/gjmpbu_146_2022
Yusuf, A. O., Afolabi, A. O., Akanmu, A. A., Murzi, H., Ofori-Boadu, A. N., & Ball, S. B. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2375689
Butruille, J., Cirnat, N., Alaoui, M., Saracco, J., Cousein, E., & Chaniaud, N. (2024) · doi:10.2196/preprints.65959
Frumer, M., Rask, M. T., Frostholm, L., & Rosendal, M. (2024) · Research Square · doi:10.21203/rs.3.rs-5366931/v1
Adams, A., Miller-Lewis, L. R., & Tieman, J. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-94156-6_2
Prentice, T. R., & Redak, R. A. (2009) · INFM-OAR (INFN Catania) · doi:10.5281/zenodo.190336
Liu, S., Zhao, H., Fu, J., Kong, D., Zhong, Z., Hong, Y., Tan, J., & Luo, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19785772
Meier, Z., Buchtova, M., Sandora, J., Novak, L., Helvich, J., Buchta, O., Fürstová, J., Maliňáková, K., & Tavel, P. (2026) · Journal of Medical Internet Research · doi:10.2196/80059
Effect of Digital Health Literacy and E-health Literacy on Quality of Life: A systematical Review
Köse, A. (2026) · Acta Infologica · doi:10.26650/acin.1702353
From Infodemic to Medical Misinformation: Burden, Challenges and the Way Forward: A Narrative Review
Singhania, M. A., & Aggarwal, P. (2026) · Apollo Medicine · doi:10.1177/09760016261476494
Geßner, J., Strobl, E., Gross, C. H., & Weise, C. (2026) · Research Square · doi:10.21203/rs.3.rs-10801339/v1
- Authors
- van der Vaart, R., van Driel, D., Pronk, K., Paulussen, S., te Boekhorst, S., Rosmalen, J. G. M., & Evers, A. W. M.
- Affiliations
- Leiden University (NL)
- ORCID
- Venue
- JMIR Formative Research
- Publisher
- JMIR Publications Inc.
- Published
- 2019-11-21
- Volume
- 3
- Issue
- 4
- Pages
- e12883
- ISSN
- 2561-326X (ISSN-L)
- PMC
- PMC6914283
- OpenAlex
- W2969797279
- Cited by
- 55
- References
- 23
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 11 · 2023: 14 · 2022: 11 · 2021: 5 · 2020: 5 · 2019: 1
- FWCI
- 6.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Formative Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by)
- Leiden Repository (Leiden University) (submittedVersion, cc-by)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- internet-based cognitive behavioral therapy, chronic pain, digital health literacy, usability, age differences, educational attainment, performance tasks, think-aloud, web navigation, online privacy, digital skills, mental health services, feasibility, intervention design, sociodemographic factors, user-centered design, user satisfaction
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