The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
e-Health and chronic pain management: Current status and developments
Abstract
Centre for Pain Research, University of Bath, UK *Corresponding author. Address: Department of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY, UK. Tel.: +44 (0)1225 383671; fax: +44 (0)1225 386752. E-mail address:[email protected] Submitted March 19, 2010; revised June 15, 2010; accepted July 15, 2010.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Many patients fail to receive treatment or encounter long waiting times (Hogg et al., 2012;Keogh et al., 2010).”
From Internet-delivered acceptance and commitment therapy as microlearning for chronic pain: A randomized controlled trial with 1-year follow-up (2021) · cites this paper as Keogh et al., 2010
In the citing paper
“Unfortunately, access to ACT and other CBT programs for chronic pain treatment continues to be restricted due to health care system constraints such as long waiting lists and a shortage of trained health care professionals coupled with patient-derived challenges, such as physical and mobility limitations and patients residing far from a clinic.”
From ACTsmart: Guided Smartphone-Delivered Acceptance and Commitment Therapy for Chronic Pain—A Pilot Trial. (2021) · cites this paper as [17]
In the citing paper
“eHealth interventions have the potential to offer patients easier access to illness management when convenient and most needed and at the patients’ own pace [26,27].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“Several studies have pointed to great potential for the use of eHealth in chronic pain management [21,23,24,27,30,31].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“This has resulted in a gap between the commercial and scientific sides of eHealth, with products often being developed in response to technological innovations rather than evidence-based knowledge and/or user needs [27,33,38].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“Addressing these issues will likely contribute to development of more user friendly, meaningful interventions for patients and can potentially improve treatment outcomes for patients living with chronic pain [27,39,44,46].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“Researchers have made recommendations for utilization of a more user-centered design approach, ideally involving all stakeholders (eg, patients, health care providers and caregivers, pain and eHealth researchers, and designers and information technology [IT] developers) in the eHealth intervention development process from the early idea initiation to the final intervention evaluation [5,27,39].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“There is a need for more attention on how to develop and translate or transform existing face-to-face interventions into electronic formats at the same time focusing on the actual needs of patients with pain [27].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“One significant challenge is the lack of guidance and involvement of health care providers and intended users in the development process [21,27,32-37].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“The lack of user involvement (ie, patients and health care providers) and human centeredness in development of eHealth interventions have been criticized repeatedly [5,21,27,32,34,36,39], and this lack of user involvement in the development process can potentially also explain the high attrition rates and low adherence associated with such interventions [32,40-42].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“The process combining evidence-based and user-centered approaches is a previously recommended but underutilized approach to eHealth intervention development [27,33,34].”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
In the citing paper
“As recommended by existing research [5,27,39] and to ensure trustworthiness [78], the study included a broad range of stakeholders (ie, patients, spouses, health care providers, and eHealth experts as well as researchers, editors, software developers, and user representatives) from the project planning stage and throughout the development process.”
From A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO (2020) · cites this paper as [27]
Citations
Cites
The Delivery of Public Health Interventions via the Internet: Actualizing Their Potential
Bennett, G. G., & Glasgow, R. E. (2009) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.031308.100235 · Cited by 800
Smart homes — Current features and future perspectives
Chan, M., Campo, É., Esteve, D., & Fourniols, J.-Y. (2009) · Maturitas · doi:10.1016/j.maturitas.2009.07.014 · Cited by 584
Internet-administered cognitive behavior therapy for health problems: a systematic review
Cuijpers, P., van Straten, A., & Andersson, G. (2008) · Journal of Behavioral Medicine · doi:10.1007/s10865-007-9144-1 · Cited by 555
Palermo, T. M., Wilson, A. C., Peters, M., Lewandowski, A., & Somhegyi, H. (2009) · Pain · doi:10.1016/j.pain.2009.07.034 · Cited by 368
Palermo, T. M., Valenzuela, D., & Stork, P. P. (2003) · Pain · doi:10.1016/j.pain.2003.10.005 · Cited by 346
Advanced Medical Displays: A Literature Review of Augmented Reality
Sielhorst, T., Marco Feuerstein, A., & Navab, N. (2008) · Journal of Display Technology · doi:10.1109/jdt.2008.2001575 · Cited by 309
Socially assistive robotics for post-stroke rehabilitation
Matarić, M. J., Eriksson, J., Feil-Seifer, D., & Winstein, C. J. (2007) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-4-5 · Cited by 276
Manipulating presence influences the magnitude of virtual reality analgesia
Hoffman, H. G., Sharar, S. R., Coda, B. A., Everett, J. J., Ciol, M. A., Richards, T. L., & Patterson, D. R. (2004) · Pain · doi:10.1016/j.pain.2004.06.013 · Cited by 267
Controlled trial of Internet-based treatment with telephone support for chronic back pain
Buhrman, M., Fältenhag, S., Ström, L., & Andersson, G. (2004) · Pain · doi:10.1016/j.pain.2004.07.021 · Cited by 232
Diabetes Self-Management Care via Cell Phone: A Systematic Review
Krishna, S., & Boren, S. A. (2008) · Journal of Diabetes Science and Technology · doi:10.1177/193229680800200324 · Cited by 225 · cited 1×
“A 2008 systematic review identified 20 RCTs and five controlled investigations, returning a generally positive conclusion on their utility in healthcare [17].”
Background
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–132 of 132
Hosseinian, Z., Lehan, A., Powers, J. M., Melendez, A., Fisher, H. M., Shelby, R. A., Somers, T. J., Keefe, F. J., Paice, J. A., Kimmick, G. G., et al. (2024) · Contemporary Clinical Trials · doi:10.1016/j.cct.2024.107780 · Cited by 1
Ristau, J., Okobi, A., Miller, M. J., Cheng, J., Deviren, S., Schwarz, E. B., Fairchild, T., Tsoh, J. Y., Aguilera, A., Zheng-Huang, C. J., et al. (2026) · Trials · doi:10.1186/s13063-025-09402-8 · Cited by 1
Development of an APP Helpful to Manage Patients with Low Back Pain
Miceli, L., Bednarova, R., Scarbolo, M., Marzi, R., Storelli, E., Colonna, U., Cominotto, F., Kussini, K., Paduano, R., Regeni, O., et al. (2014) · Pain Practice · doi:10.1111/papr.12235 · Cited by 1
Traynor, A., Morrissey, E. C., Egan, J., & McGuire, B. E. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0350-1 · Cited by 1
“As pointed out by Keogh, Rosser and Eccleston (2010), there is little guidance on how to translate therapy from traditional, humanmediated delivery to technology-based platforms [22].”
Background13. Kongress der Deutschen Gesellschaft für Verhaltensmedizin und Verhaltensmodifikation – DGVM
(2011) · Verhaltenstherapie · doi:10.1159/000332942 · Cited by 1
Kelly, M., Fullen, B. M., Martin, D., Bradley, C., O’Mahony, B., & McVeigh, J. G. (2022) · HRB Open Research · doi:10.12688/hrbopenres.13611.1 · Cited by 3
Herron, K., Bradshaw, A., Liptrot, M., Wieringa, G., Mathews, K., Wiles, J. R., & Johnson, S. (2024) · Frontiers in Pain Research · doi:10.3389/fpain.2024.1337734 · Cited by 1
Elphinston, R. A., Pager, S., Fatehi, F., Sterling, M. M., Brown, K., Gray, P. D., Hipper, L., Cahill, L., Ziadni, M. S., Worthy, P., et al. (2024) · JMIR Formative Research · doi:10.2196/57212 · Cited by 2
“Patients and health professionals have rarely been involved in the co-design of DHIs for CNCP since it was recommended more than a decade ago [23].”
Elphinston, R. A., Pager, S., Brown, K., Sterling, M. M., Fatehi, F., Gray, P. D., Hipper, L., Cahill, L., & Connor, J. P. (2025) · JMIR Formative Research · doi:10.2196/57208 · Cited by 1
“Co-design of DHIs for CNCP has not made significant progress over the past decade [40].”
Bromberg, M. H. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/qfqg-sd57
Giannopoulou, C. (2015) · Queen Margaret University eTheses Repository
de Carranza, R. D. L. V. (2014) · TDX (Tesis Doctorals en Xarxa)
Evaluating the impact of Inpatient Pain Management Interactive Systems
Aldekhyyel, R. N. (2019) · University of Minnesota Digital Conservancy (University of Minnesota)
Nonpharmacologic pain management
McBain, H. B., Mulligan, K., & Newman, S. P. (2015) · Elsevier eBooks · doi:10.1016/b978-0-323-09138-1.00050-4
New coping strategies and self-education for chronic pain management: E-health
Pardo, V. M., San‐Antolín, M., López‐López, D., Vallejo, R., Losa‐Iglesias, M. E., Morales, C. R., Rodríguez‐Sanz, D., Martínez‐Jiménez, E. M., & Calvo‐Lobo, C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820237-1.00052-1
On maintaining successful treatment outcomes in interdisciplinary multimodal pain treatment
Elbers, S. (2021) · Research Publications (Maastricht University) · doi:10.26481/dis.20211117se
Tham, S. W., Koh, J. L., & Palermo, T. M. (2022) · doi:10.1002/9781119701170.ch41
The effect of tailored Web-based interventions on pain in adults: a systematic review protocol
Martorella, G., Gélinas, C., Berube, M., Boitor, M., Fredericks, S., & May, S. L. (2021) · doi:10.32920/14668797.v1
The effect of tailored Web-based interventions on pain in adults: a systematic review protocol
Martorella, G., Gélinas, C., Berube, M., Boitor, M., Fredericks, S., & May, S. L. (2021) · doi:10.32920/14668797
Simmich, J., Ross, M. H., Andrews, N. E., Vaezipour, A., & Russell, T. G. (2023) · doi:10.2196/preprints.46881
John, B., Jose, S., Thomas, J., & Kurian, J. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.409 · Cited by 1
“…and well-being through e-Health solutions has been increasingly a top health-care priority both nationally and globally. eHealth solutions are defined as the use of digital interaction technologies to deliver medical services and enable self-management of health conditions (Keogh et al., 2010).”
Djurtoft, C., Sørensen, K., Odgaard, C., Hoegh, M., Rathleff, M. S., & Johansen, S. K. (2024) · medRxiv · doi:10.1101/2024.05.17.24307464
“This includes delivering health information, supporting self-management, monitoring symptoms, providing access to social/peer support, and facilitating on-demand contact with health resources 30,34,39,52 .”
BackgroundImproving Smart Healthcare based on the Self-management Concept
Lotfi, F. H., Taghavi, M., & Bagheri, A. (2024) · International Journal of Computer and Information Technology(2279-0764) · doi:10.24203/a1fwa983
Zbikowski, S. M., Masterson, J., Burrola-Mendez, Y., Hsu, C. Y., Ma, K. P. K., Zhang, Y., Waters, D., & Stephens, K. A. (2025) · doi:10.2196/preprints.88122
Varsi, C., Ledel Solem, I. K., Eide, H., Børøsund, E., Kristjánsdóttir, Ó. B., Heldal, K., Waxenberg, L. B., Weiss, K. E., Schreurs, K. M. G., Morrison, E. J. P., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14313472
Djurtoft, C., Sørensen, K. S., Odgaard, C., Hoegh, M., Rathleff, M. S., & Johansen, S. K. (2026) · Disability and Rehabilitation · doi:10.1080/09638288.2025.2611577
“This includes delivering health information, supporting self-management, monitoring symptoms, providing access to social/peer support, and facilitating on-demand contact with health resources [14–17].”
Zbikowski, S. M., Masterson, J., Burrola-Mendez, Y., Hsu, C. Y., Ma, K. P. K., Zhang, Y., Waters, D., & Stephens, K. A. (2026) · JMIR Human Factors · doi:10.2196/88122
“These findings add to a growing body of research showing that digital platforms can deliver behavioral pain self-management strategies in ways that are usable, acceptable, and aligned with evidence-based approaches [10,16,23,29].”
Navin, C., Dear, B. F., Bisby, M. A., Slattery, B. W., Pilch, M., Haugh, S., Connor, L. O., Malone, B., Perez, C., Egan, J., et al. (2026) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000001409 · Cited by 1
Griefahn, A., Avermann, F., Zalpour, C., Marshall, R. P., & Luedtke, K. (2026) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2026.09.030
Metadata
- Authors
- Keogh, E., Rosser, B. A., & Eccleston, C.
- Affiliations
- University of Bath (GB)
- Corresponding author
- Keogh, Edmund
- Venue
- Pain
- Published
- 2010-10
- Volume
- 151
- Issue
- 1
- Pages
- 18-21
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W2028421109
- Cited by
- 132
- References
- 39
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 8 · 2023: 8 · 2022: 9 · 2021: 10 · 2020: 8 · 2019: 9 · 2018: 2 · 2017: 9 · 2016: 11 · 2015: 6 · 2014: 11 · 2013: 7 · 2012: 10
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pain (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/F002815/1)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- e-health, chronic pain, pain management, digital health technologies, telemedicine
- MeSH terms
- Chronic Disease, Education, Medical, Health Services, Humans, Pain, Pain Measurement, Telecommunications, Pain Management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review