Perceptions of patients with chronic obstructive pulmonary disease and their health care providers towards using mHealth for self-management of exacerbations: a qualitative study
Open accessAbstract
BACKGROUND: Self-management of exacerbations in COPD patients is important to reduce exacerbation impact. There is a need for more comprehensive and individualized interventions to improve exacerbation-related self-management behavior. The use of mobile health (mHealth) could help to achieve a wide variety of behavioral goals. Understanding of patients and health care providers perspectives towards using mHealth in promoting self-management will greatly enhance the development of solutions with optimal usability and feasibility. Therefore, the aim of this study was to explore perceptions of COPD patients and their health care providers towards using mHealth for self-management of exacerbations. METHODS: A qualitative study using focus group interviews with COPD patients (n = 13) and health care providers (HCPs) (n = 6) was performed to explore perceptions towards using mHealth to support exacerbation-related self-management. Data were analyzed by a thematic analysis. RESULTS: COPD patients and HCPs perceived mostly similar benefits and barriers of using mHealth for exacerbation-related self-management. These perceived benefits and barriers seem to be important drivers in the willingness to use mHealth. Both patients and HCPs strengthen the need for a multi-component and tailored mHealth intervention that improves patients' exacerbation-related self-management by determining their health status and providing adequate information, decision support and feedback on self-management behavior. Most importantly, patients and HCPs considered an mHealth intervention as support to improve self-management and emphasized that it should never replace patients' own feelings nor undermine their own decisions. In addition, the intervention should be complementary to regular contact with HCPs, as personal contact with a HCP was considered to be very important. To optimize engagement with mHealth, patients should have a positive attitude toward using mHealth and an mHealth intervention should be attractive, rewarding and safe. CONCLUSIONS: This study provided insight into perceptions of COPD patients and their HCPs towards using mHealth for self-management of exacerbations. This study points out that future mHealth interventions should focus on developing self-management skills over time by providing adequate information, decision support and feedback on self-management behavior and that mHealth should complement regular care. To optimize engagement, mHealth interventions should be attractive, rewarding, safe and tailored to the patient needs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Numerous studies have highlighted the benefits of remote patient monitoring between clinic visits in detecting health deterioration earlier and enabling prompt intervention, particularly for individuals with chronic conditions.
“Numerous studies have highlighted the benefits of remote patient monitoring between clinic visits in detecting health deterioration earlier and enabling prompt intervention, particularly for individuals with chronic conditions [44–50].”
From Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: Findings from a pilot clinical trial (2025) · cites this paper as [47]
The Results describe earlier recognition of COPD exacerbations as a potential benefit of mHealth symptom monitoring, and the Discussion says participants thought mHealth could encourage prompt health care contact. This qualitative study does not establish that remote patient monitoring achieves earlier detection or prompt intervention across chronic conditions; it also reports clinicians’ concerns about missing signals when monitoring patients at home. Page numbers were not available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredStudies on remote patient monitoring confirm the importance of HCP involvement with digital tools.
“Studies on remote patient monitoring confirm the importance of HCP involvement with digital tools [44–48].”
From Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: Findings from a pilot clinical trial (2025) · cites this paper as [47]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · cited 2× · see citing works
“Finally, potential themes were further defined and clear definitions were generated [28].”
BackgroundMethodPerceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · cited 3× · see citing works
“Finally, the attitude towards using technology is considered to be import for actual system use according to the TAM, which is in line with our finding that a positive attitude of patients was considered to be important for engagement with mHealth.”
MethodInfluentialLincoln, Y. S., Guba, E. G., & Pilotta, J. J. (1985) · International Journal of Intercultural Relations · doi:10.1016/0147-1767(85)90062-8 · Cited by 45,787 · see citing works
Vestbo, J., Hurd, S. S., Agustí, A. G., Jones, P. W., Vogelmeier, C., Anzueto, A., Barnes, P. J., Fabbri, L. M., Martinez, F. J., Nishimura, M., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201204-0596pp · Cited by 15,983 · see citing works
Zhang, Q., Wang, C., Zheng, M., Li, Y., Li, J., Zhang, L., Shang, X., & Yan, C. (2014) · Cerebrovascular Diseases · doi:10.1159/000369778 · Cited by 11,609 · see citing works
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386 · see citing works
Focus Groups: A Practical Guide for Applied Research
Billson, J. M. (1989) · Human Biology · Cited by 8,560 · see citing works
Global Initiative for Chronic Obstructive Lung Disease (GOLD)
Rahman, M. M., & Siddiqui, M. M. R. (2017) · Anwer Khan Modern Medical College Journal · doi:10.3329/akmmcj.v7i1.31596 · Cited by 3,105 · see citing works
Effect of Exacerbation on Quality of Life in Patients with Chronic Obstructive Pulmonary Disease
SEEMUNGAL, T. A. R., Donaldson, G. C., Paul, E. A., Bestall, J., Jeffries, D. J., & Wedzicha, J. A. (1998) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.157.5.9709032 · Cited by 2,291 · see citing works
(2014) · Cited by 2,276 · see citing works
Donaldson, G. C. (2002) · Thorax · doi:10.1136/thorax.57.10.847 · Cited by 2,249 · see citing works
Severe acute exacerbations and mortality in patients with chronic obstructive pulmonary disease
Soler‐Cataluña, J. J. (2005) · Thorax · doi:10.1136/thx.2005.040527 · Cited by 1,931 · see citing works
Perski, O., Blandford, A., West, R., & Michie, S. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-016-0453-1 · Cited by 1,193 · see citing works
Toward a Consensus Definition for COPD Exacerbations
Rodríguez-Roisin, R. (2000) · CHEST Journal · doi:10.1378/chest.117.5_suppl_2.398s · Cited by 973 · see citing works
Self management for patients with chronic obstructive pulmonary disease
Zwerink, M., Brusse-Keizer, M., van der Valk, P. D., Zielhuis, G. A., Monninkhof, E. M., van der Palen, J., Frith, P. A., & Effing, T. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002990.pub3 · Cited by 572 · cited 1× · see citing works
“The absence of an adequate imminent exacerbation marker requires to focus on supporting COPD patients in developing self-management skills to be able to adequately detect exacerbations and to take prompt actions and thereby reduce the impact of exacerbations [9, 10].”
BackgroundMiravitlles, M. (2004) · Thorax · doi:10.1136/thx.2003.008730 · Cited by 557 · see citing works
Lenferink, A., Brusse-Keizer, M., van der Valk, P. D., Frith, P. A., Zwerink, M., Monninkhof, E. M., van der Palen, J., & Effing, T. W. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011682.pub2 · Cited by 328 · cited 3× · see citing works
“outcomes [11, 12], some participants in our study suggested that there might be a chance that an mHealth intervention results in the opposite.”
BackgroundResultSmartphone and tablet self management apps for asthma
Marcano Belisario, J. S., Huckvale, K., Greenfield, G., Car, J., & Gunn, L. H. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010013.pub2 · Cited by 288 · cited 1× · see citing works
“In the past decade, research has increasingly focused on using mobile technology for self-management purposes in chronic lung diseases [20, 21].”
BackgroundPatient Understanding, Detection, and Experience of COPD Exacerbations
Kessler, R., Ståhl, E., Vogelmeier, C. F., Haughney, J., Trudeau, E., Löfdahl, C., & Partridge, M. R. (2006) · CHEST Journal · doi:10.1378/chest.130.1.133 · Cited by 255 · see citing works
Toy, E. L., Gallagher, K. F., Stanley, E. L., Swensen, A. R., & Duh, M. S. (2010) · COPD Journal of Chronic Obstructive Pulmonary Disease · doi:10.3109/15412555.2010.481697 · Cited by 247 · see citing works
Shah, S. G. S., Robinson, I., & AlShawi, S. (2009) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462309990328 · Cited by 237 · see citing works
Bucknall, C. E., Miller, G., Lloyd, S. M., Cleland, J., McCluskey, S., Cotton, M., Stevenson, R. D., Cotton, P., & McConnachie, A. (2012) · BMJ · doi:10.1136/bmj.e1060 · Cited by 226 · see citing works
Definition of a COPD self-management intervention: International Expert Group consensus
Effing, T., Vercoulen, J., Bourbeau, J., Trappenburg, J., Lenferink, A., Cafarella, P. A., Coultas, D., Meek, P., van der Valk, P., Bischoff, E., et al. (2016) · European Respiratory Journal · doi:10.1183/13993003.00025-2016 · Cited by 224 · see citing works
Self-citationMccabe, C., McCann, M., & Brady, A. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011425.pub2 · Cited by 221 · cited 3× · see citing works
“Although evidence on effectiveness of current mHealth interventions is limited, recent studies suggest that mHealth interventions aimed at supporting self-management might improve patient outcomes [20, 37].”
BackgroundSmartphone interventions for long-term health management of chronic diseases: an integrative review
Wang, J., Wang, Y., Wei, C., Yao, N. (., Yuan, A., Shan, Y., & Yuan, C. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2013.0243 · Cited by 215 · see citing works
Telehealthcare for chronic obstructive pulmonary disease: Cochrane Review and meta-analysis
McLean, S., Nurmatov, U. B., Liu, J. L., Pagliari, C., Car, J., & Sheikh, A. (2012) · British Journal of General Practice · doi:10.3399/bjgp12x658269 · Cited by 196 · see citing works
Promoting effective self-management programmes to improve COPD
Bourbeau, J., & van der Palen, J. A. M. (2009) · European Respiratory Journal · doi:10.1183/09031936.00001309 · Cited by 167 · see citing works
The development of evidence‐based nursing interventions: methodological considerations
van Meijel, B., Gamel, C. J., Swieten-Duijfjes, B. V., & Grypdonck, M. (2004) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2004.03171.x · Cited by 166 · see citing works
Self-management: One size does not fit all
Trappenburg, J. C. A., Jonkman, N. H., Jaarsma, T., van Os‐Medendorp, H., Kort, H. S. M., de Wit, N. J., Hoes, A. W., & Schuurmans, M. J. (2013) · Patient Education and Counseling · doi:10.1016/j.pec.2013.02.009 · Cited by 158 · see citing works
Self-citationEffects of written action plan adherence on COPD exacerbation recovery
Bischoff, E. W. M. A., Hamd, D. H., Sedeno, M. F., Benedetti, A., Schermer, T. R., Bernard, S., Maltais, F., & Bourbeau, J. (2010) · Thorax · doi:10.1136/thx.2009.127621 · Cited by 158 · cited 1× · see citing works
“Since previous studies have shown that self-management interventions only improve patient outcomes when changing selfmanagement behavior of COPD patients [16, 17], it is important that COPD self-management interventions aim at motivating, engaging and supporting patients to positively adapt their behaviors [15].”
BackgroundAction plans with brief patient education for exacerbations in chronic obstructive pulmonary disease
Howcroft, M., Walters, E. H., Wood-Baker, R. R., & Walters, J. A. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005074.pub4 · Cited by 137 · cited 2× · see citing works
“outcomes [11, 12], some participants in our study suggested that there might be a chance that an mHealth intervention results in the opposite.”
BackgroundResultHuygens, M. W. J., Vermeulen, J., Swinkels, I. C. S., Friele, R. D., van Schayck, O. C. P., & de Witte, L. P. (2016) · BMC Health Services Research · doi:10.1186/s12913-016-1484-5 · Cited by 131 · cited 1× · see citing works
“study on patient perceptions regarding eHealth for self-management purposes [30].”
BackgroundAlwashmi, M. F., Hawboldt, J., Davis, E., Marra, C. A., Gamble, J., & Abu-Ashour, W. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5921 · Cited by 73 · see citing works
Factors influencing exacerbation-related self-management in patients with COPD: a qualitative study
Korpershoek, Y., Vervoort, S., nijssen, L., Trappenburg, J., & Schuurmans, M. (2016) · International Journal of COPD · doi:10.2147/copd.s116196 · Cited by 57 · see citing works
Self-citationSelf-management behaviors to reduce exacerbation impact in COPD patients: a Delphi study
Korpershoek, Y. J., Slot, J. C. B., Effing, T., Schuurmans, M., & Trappenburg, J. (2017) · International Journal of COPD · doi:10.2147/copd.s138867 · Cited by 37 · see citing works
Self-citationHow do COPD patients respond to exacerbations?
Trappenburg, J. C. A., Schaap, D., Monninkhof, E. M., Bourbeau, J., Oene, G. H. D. W.-V., Verheij, T. J., Lammers, J. J., & Schrijvers, G. (2011) · BMC Pulmonary Medicine · doi:10.1186/1471-2466-11-43 · Cited by 17 · cited 1× · see citing works
“These are important benefits since previous research has shown that many patients have difficulties with exacerbation detection and taking prompt actions [27, 33, 34].”
BackgroundSelf-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [25]Holloway I, Wheeler S. Qualitative research in nursing and healthcare: 3rd ed: Wiley-Blackwell; 2010.
Cited by
Sorted by citations
Jacob, C., Sezgın, E., Sánchez-Vázquez, A., & Ivory, C. J. (2022) · JMIR mhealth and uhealth · doi:10.2196/36284 · Cited by 172 · see citing works
“Patients often prefer to be able to adjust the tools to their specific needs [101,104,107,118,130,138,154,157,160]; for instance, the timing of prompts and frequency of reminders [164], adjusting the app to their preferred goals and activities [147,165], and adjusting visual features such as colors…”
InfluentialSerrano, L. P., Maita, K. C., Avila, F. R., Torres-Guzman, R. A., Garcia, J. P., Eldaly, A. S., Haider, C. R., Felton, C. L., Paulson, M. R., Maniaci, M. J., et al. (2023) · The Permanente Journal · doi:10.7812/tpp/23.022 · Cited by 162 · see citing works
“35 Another major concern for the health care practitioners is the potential problem with patients relying heavily on RPM. 7,14,16 Patients may believe that their health care practitioners are continuously monitoring the data and may postpone contact.”
BackgroundResultInfluentialJiang, Y., Liu, F., Guo, J., Sun, P., Chen, Z., Li, J., Cai, L., Zhao, H., Gao, P., Ding, Z., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/17089 · Cited by 112 · see citing works
Zimmermann, B. M., Fiske, A., Prainsack, B., Hangel, N., McLennan, S., & Buyx, A. (2021) · Journal of Medical Internet Research · doi:10.2196/25525 · Cited by 109 · see citing works
“Although research on mHealth apps generally focuses on individual usability, including the specific needs of patients with chronic conditions [22,31] or lifestyle support for a healthy diet or physical activity [32,33], contact tracing apps for pandemic control have an additional societal component.”
BackgroundKorpershoek, Y. J. G., Hermsen, S., Schoonhoven, L., Schuurmans, M. J., & Trappenburg, J. C. A. (2020) · Journal of Medical Internet Research · doi:10.2196/15449 · Cited by 78 · see citing works
“Our needs analysis (Figure 1; phase 1D) resulted in an overview of potential benefits and barriers regarding the use of mHealth to support self-management and early ideas on the content of the intervention [31].”
BackgroundMethodInfluentialSelf-citationSlevin, P., Kessie, T., Cullen, J., Butler, M. W., Donnelly, S. C., & Caulfield, B. (2019) · QJM · doi:10.1093/qjmed/hcz241 · Cited by 65 · see citing works
Slevin, P., Kessie, T., Cullen, J., Butler, M. W., Donnelly, S. C., & Caulfield, B. (2019) · Digital Health · doi:10.1177/2055207619871729 · Cited by 66 · see citing works
“4 research in mHealth has begun focusing on patient needs in the early-development phase, 34 literature in this field is sparse.”
BackgroundOsei, E., Kuupiel, D., Vezi, P., & Mashamba-Thompson, T. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-01381-x · Cited by 40 · see citing works
Kooij, L., Vos, P. J. E., Dijkstra, A., & van Harten, W. H. (2021) · JMIR mhealth and uhealth · doi:10.2196/21977 · Cited by 53 · see citing works
“This emphasizes the importance of timing [39] and tailoring [56] an intervention.”
BackgroundInfluentialReguera, B. J., López, E. M., Fitch, S., Monteagudo, L. J., Cortés, M. S., Hermosa, J. L. R., Rubio, M. C., Criado, M. T. H., López, M., Angulo, S., et al. (2020) · JMIR mhealth and uhealth · doi:10.2196/18465 · Cited by 53 · see citing works
Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process
An, Q., Kelley, M. M., Hanners, A., & Yen, P.-Y. (2023) · JMIR Formative Research · doi:10.2196/45694 · Cited by 52 · see citing works
“For example, mHealth apps can monitor real-time conditions, assess progress, improve communication, detect illness, help prevent disease exacerbations, manage and track chronic disease, and deliver therapeutic interventions at a convenient time to the patient [3-5].”
BackgroundSlevin, P., Kessie, T., Cullen, J., Butler, M. W., Donnelly, S. C., & Caulfield, B. (2019) · ERJ Open Research · doi:10.1183/23120541.00239-2018 · Cited by 48 · see citing works
“It is thus unsurprising that patient adoption and satisfaction issues are still frequently cited [23, 30] and, although work is emerging that aims to gather patient perceptions of DHT pre-development [31], research remains sparse in this area.”
BackgroundAlwashmi, M. F., FitzPatrick, B., Davis, E., Gamble, J., Farrell, J., & Hawboldt, J. (2019) · JMIR mhealth and uhealth · doi:10.2196/13950 · Cited by 44 · see citing works
“Our final sample size was comparable with similar qualitative studies [30,36,37].”
InfluentialRole of digital health in pulmonary rehabilitation and beyond: shaping the future
Pimenta, S., Hansen, H., Demeyer, H., Slevin, P., & Cruz, J. (2022) · ERJ Open Research · doi:10.1183/23120541.00212-2022 · Cited by 39 · see citing works
Lundell, S., Modig, M., Holmner, Å., & Wadell, K. (2020) · JMIR mhealth and uhealth · doi:10.2196/16343 · Cited by 37 · see citing works
“This implies that when new technology is to be implemented in health care, acceptance may be greater when the technology is presented as a complement and not as a replacement of personal care, which is in agreement with previous studies of various patient groups [30-32].”
BackgroundResultAlwashmi, M. F., FitzPatrick, B., Farrell, J., Gamble, J., Davis, E., Nguyen, H. V., Farrell, G., & Hawboldt, J. (2020) · JMIR mhealth and uhealth · doi:10.2196/17409 · Cited by 37 · see citing works
“Our final sample size was comparable with similar qualitative studies [15,26].”
BackgroundResultInfluentialSchmaderer, M. S., Miller, J. N., & Mollard, E. K. (2021) · JMIR Nursing · doi:10.2196/28139 · Cited by 31 · see citing works
“mHealth interventions have shown to promote chronic disease self-management in persons with heart failure [15,16] and patients with other chronic diseases [13,17-20].”
BackgroundInfluentialvan der Meer, H. A., de Pijper, L., van Bruxvoort, T., Visscher, C. M., der Sanden, M. W. G. N., Engelbert, R., & Speksnijder, C. M. (2020) · Disability and Rehabilitation · doi:10.1080/09638288.2020.1775900 · Cited by 28 · see citing works
“in qualitative research [24,28] and the findings of the current”
BackgroundSloots, J., Bakker, M., van der Palen, J. A. M., Eijsvogel, M., van der Valk, P., Linssen, G. C. M., van Ommeren, C., Grinovero, M., Tabak, M., Effing, T., et al. (2021) · International Journal of COPD · doi:10.2147/copd.s299598 · Cited by 27 · see citing works
Li, W., Liu, W. Y., Liu, S., Li, J., Wang, W., & Li, K. (2021) · Heart & Lung · doi:10.1016/j.hrtlng.2021.03.081 · Cited by 26 · see citing works
Issom, D.-Z., Henriksen, A., Woldaregay, A. Z., Rochat, J., Lovis, C., & Hartvigsen, G. (2020) · JMIR Human Factors · doi:10.2196/14599 · Cited by 25 · see citing works
“us to identify barriers and enablers of engagement in any intervention and in our particular case, to identify factors that, if implemented together, may elicit the long-term engagement and user adoption of mHealth apps [74-76].”
BackgroundExploring community members' perceptions to adopt a Tele-COPD program in rural counties
Alexander, D. S., Kiser, S., North, S., Roberts, C. A., & Carpenter, D. M. (2021) · Exploratory Research in Clinical and Social Pharmacy · doi:10.1016/j.rcsop.2021.100023 · Cited by 24 · see citing works
Smart dry powder inhalers and intelligent adherence management
Häußermann, S., Arendsen, L. J., & Pritchard, J. N. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114580 · Cited by 23 · see citing works
Alwashmi, M. F., FitzPatrick, B., Davis, E., Farrell, J., Gamble, J., & Hawboldt, J. (2020) · Therapeutic Advances in Respiratory Disease · doi:10.1177/1753466620951044 · Cited by 23 · see citing works
Technology-supported models of nutrition care: Perspectives of health service providers
Barnett, A., Kelly, J. T., Wright, C., & Campbell, K. L. (2022) · Digital Health · doi:10.1177/20552076221104670 · Cited by 20 · see citing works
“For example, a qualitative study found that health care providers were concerned about the difficulty with capturing emotions when using mHealth technology.(13) Our participants acknowledged the importance of training in technology-supported models of care and that adjustments to training processes may be required to…”
BackgroundDavies, A., Mueller, J., Hennings, J., Caress, A., & Jay, C. (2020) · JMIR Human Factors · doi:10.2196/16289 · Cited by 21 · see citing works
“Qualitative insights show that using mHealth to complement regular care is acceptable to both COPD patients and their health care professionals [9].”
Haddad, T. C., Maita, K. C., Inselman, J., Ávila, F. R., Torres‐Guzman, R. A., Coffey, J. D., Christopherson, L. A., Leuenberger, A. M., Bell, S. J., Pahl, D. F., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/44528 · Cited by 18 · see citing works
“…patients with chronic conditions, RPM allows providers to better understand how their patients manage their condition between clinic visits, promptly recognize any early signs of adverse health trends and implement needed diagnostics, treatment, or lifestyle changes to optimize care [3,35,36].”
Sze, W. T., & Kow, S. G. (2023) · JMIR Diabetes · doi:10.2196/40968 · Cited by 17 · see citing works
Wu, R. C., Calligan, M., Son, T., Rakhra, H., de Lara, E., Mariakakis, A. T., & Gershon, A. S. (2024) · COPD Journal of Chronic Obstructive Pulmonary Disease · doi:10.1080/15412555.2023.2277158 · Cited by 16 · see citing works
Naranjo-Rojas, A., Molina-Recio, G., & Pérula-de-Torres, L. (2021) · Internet Interventions · doi:10.1016/j.invent.2022.100552 · Cited by 15 · see citing works
Buawangpong, N., Sirikul, W., & Siviroj, P. (2025) · JMIR Human Factors · doi:10.2196/63607 · Cited by 12 · see citing works
Wathne, H. B., Storm, M., Morken, I. M., & Husebø, A. M. L. (2025) · Journal of Advanced Nursing · doi:10.1111/jan.16736 · Cited by 11 · see citing works
“Furthermore, remote digital technologies have been shown to significantly benefit patients who are expected to self-manage at home by enhancing patients' awareness and confidence in self-management (Korpershoek et al. 2018).”
InfluentialRehabilitation clinicians’ use of mainstream wireless technologies in practice: a scoping review
Dicianno, B. E., Salh, A., Morris, L., Xiang, Y., & Ding, D. (2024) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2024.2316891 · Cited by 10 · see citing works
“…to clinical practice, and this can be compounded when there is a lack of subjective patient-reported outcomes to help contextualize the data [38,47,78,94]. therapists have preferences as to the level of granularity of data they must review from wearables [78]. clinicians sometimes do not like…”
InfluentialSepulveda, R., Chong, J., Shegog, R., Martin, K., Begley, C. E., Addy, R. C., Rosales, O., Nuño, T., Soto, S., Rosales, C., et al. (2024) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2024.109702 · Cited by 10 · see citing works
Factors That Influence the Use of eHealth in Home Care: Scoping Review and Cross-sectional Survey
Mathijssen, E. G. E., de Lange, W., Bleijenberg, N., van Houwelingen, T., Jaarsma, T., Trappenburg, J. C. A., & Westland, H. (2022) · Journal of Medical Internet Research · doi:10.2196/41768 · Cited by 10 · see citing works
“A qualitative study by Korpershoek et al [65] in the field of chronic obstructive pulmonary disease showed that eHealth is more readily accepted when tailored to individual needs, which stresses the importance of personalization over a one-size-fits-all approach.”
BackgroundSelf-citationA scale to measure the perceived quality of mHealth by elderly patients with hypertension in China
Guo, M., & Lyu, L. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-09357-z · Cited by 11 · see citing works
“In addition, previous studies have found the same problem in the perception of patients with COPD regarding mHealth apps [49].”
BackgroundMontazeri, M., Galavi, Z., & Ahmadian, L. (2023) · Digital Health · doi:10.1177/20552076231171969 · Cited by 9 · see citing works
Habib, G. M., Uzzaman, N., Rabinovich, R., Akhter, S., Ali, M., Sultana, M., & Pinnock, H. (2024) · Journal of Global Health · doi:10.7189/jogh.14.04036 · Cited by 8 · see citing works
“Understanding patients’ perceptions, beliefs, and behaviours regarding their disease is essential for effective disease management, as they influence treatment adherence, self-management practices, treatment decision-making, and psychological well-being [15,16].”
BackgroundByrne, T., Murray, N., McDonnell‐Naughton, M., & Rowan, N. J. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1203937 · Cited by 9 · see citing works
Chapel, B., Alexandre, F., Héraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08370-y · Cited by 8 · see citing works
Personalizing Self-Management Interventions in COPD – Looking Beyond One-Size-Fits-All
Lenferink, A., Brusse-Keizer, M. G. J., van der Palen, J. A. M., & Effing, T. (2025) · International Journal of COPD · doi:10.2147/copd.s511278 · Cited by 8 · see citing works
“16 Digital COPD applications have the potential to provide better insights into the daily life of an individual COPD patient by using real-time data (eg, symptom data) that can be used for individual risk and benefit profiling, and guide (shared) decision making to provide appropriate personalized…”
Schrijver, J., Effing, T., Brusse-Keizer, M. G. J., van der Palen, J. A. M., van der Valk, P., & Lenferink, A. (2023) · COPD Journal of Chronic Obstructive Pulmonary Disease · doi:10.1080/15412555.2023.2240408 · Cited by 8 · see citing works
“Furthermore, in line with previous qualitative research [50], the availability of support from healthcare professionals that helped patients to recognize symptoms and subsequently to initiate actions, was indicated by patients as an important facilitator of adherence.”
ResultWilde, L., Percy, C. A., Clark, C. C. T., Ward, G., Wark, P. A., & Sewell, L. (2023) · Respiratory Medicine · doi:10.1016/j.rmed.2023.107395 · Cited by 7 · see citing works
Effects of Adherence to an mHealth Tool for Self-Management of COPD Exacerbations
Bischoff, E. W. M. A., Ariens, N., Boer, L. M., Vercoulen, J. H., Akkermans, R. L. C., van den Bemt, L., & Schermer, T. R. (2023) · International Journal of COPD · doi:10.2147/copd.s431199 · Cited by 7 · see citing works
“28 Educating patients may also facilitate mHealth adoption, whereas technical issues, lack of awareness, and privacy issues can be important barriers.”
BackgroundSlevin, P., Kessie, T., Cullen, J., Butler, M. W., Donnelly, S. C., & Caulfield, B. (2021) · Health Informatics Journal · doi:10.1177/1460458221994888 · Cited by 8 · see citing works
O'Connor, Ú., & Crilly, G. (2024) · Journal of Advanced Nursing · doi:10.1111/jan.16493 · Cited by 7 · see citing works
“So I don't want to be thinking about being ill all the time (Korpershoek et al. 2018, 6).”
InfluentialAgher, D., Sedki, K., Tsopra, R., Desprès, S., & Jaulent, M. (2020) · Applied Clinical Informatics · doi:10.1055/s-0040-1715649 · Cited by 6 · see citing works
Kouri, A., Wong, E. K. C., Sale, J. E. M., Straus, S. E., & Gupta, S. (2023) · Age and Ageing · doi:10.1093/ageing/afad144 · Cited by 7 · see citing works
Mayo‐Gamble, T. L., Quasie-Woode, D. P., Cunningham‐Erves, J., Rollins, M. R., Schlundt, D. G., Bonnet, K. R., & Murry, V. M. (2021) · JMIR Formative Research · doi:10.2196/28678 · Cited by 5 · see citing works
“This was similar to the findings of other qualitative studies on the benefits of mHealth for patients with chronic health conditions [37,38].”
ResultAn, Q., Kelley, M. M., & Yen, P. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-90179-0_17 · Cited by 6 · see citing works
Lavesen, M., Paine, M. A., & Bové, D. G. (2024) · COPD Journal of Chronic Obstructive Pulmonary Disease · doi:10.1080/15412555.2024.2361669 · Cited by 4 · see citing works
Leenders, A., Sportel, E. T., Poppink, E., van Beurden, W., van der Valk, P., & Brusse-Keizer, M. G. J. (2022) · Patient Preference and Adherence · doi:10.2147/ppa.s380862 · Cited by 3 · see citing works
Mahboubian, A., Kasteleyn, M. J., Bašić, E., Chavannes, N. H., & Aardoom, J. J. (2025) · Journal of Medical Internet Research · doi:10.2196/67666 · Cited by 3 · see citing works
“These challenges may be reinforced by the lack of information provided to participants regarding exacerbations at diagnosis and throughout the COPD care process, which is a known issue in COPD care [25,44].”
InfluentialSmit, K., Venekamp, R. P., Geersing, G., Rutten, F. H., Schoonhoven, L., & Zwart, D. L. M. (2023) · British Journal of General Practice · doi:10.3399/bjgp.2023.0139 · Cited by 3 · see citing works
Amed, S., Pinkney, S., Abdulhussein, F. S., Virani, A., Zachariuk, C., Tamana, S. K., Muralidharan, S., Görges, M., Barrett, B., van Rooij, T., et al. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000861 · Cited by 1 · see citing works
Nyberg, A., Sondell, A., Lundell, S., Marklund, S., Tistad, M., & Wadell, K. (2023) · JMIR Human Factors · doi:10.2196/43269 · Cited by 2 · see citing works
Wilde, L., Sewell, L., & Holliday, N. (2025) · Healthcare · doi:10.3390/healthcare14010037 · Cited by 2 · see citing works
“Activity monitors may also support goal setting, self-monitoring and understanding symptom patterns [8–12].”
Haghparast, A., Okhovvat, M., Khoddam, H., Khandashpour, M., & Kolagari, S. (2024) · Health Science Reports · doi:10.1002/hsr2.2259 · Cited by 2 · see citing works
Quach, S., Benoit, A., Packham, T., Goldstein, R. S., & Brooks, D. (2024) · Health Informatics Journal · doi:10.1177/14604582241292206 · Cited by 2 · see citing works
Clinical Provider Perspectives on Remote Spirometry and mHealth for COPD
McCabe, S., Madiraca, J., Cole, L., Morgan, E., Fowler, T., Smith, W., Durham, C. O., Lindell, K. O., & Miller, S. N. (2025) · Nursing Reports · doi:10.3390/nursrep15110402 · Cited by 1 · see citing works
Perspective Chapter: Pre-Acceptability in Digital Health Technology
Byrne, T., Murray, N., McDonnell‐Naughton, M., & Rowan, N. J. (2026) · Biomedical engineering · doi:10.5772/intechopen.1012459 · Cited by 1 · see citing works
Hagstedt, L. J., Hvitfeldt, H., Riggare, S. S., Petersson, G., Davoody, N., & Hägglund, M. (2026) · JMIR Human Factors · doi:10.2196/79866 · Cited by 2 · see citing works
Alhammad, N. J., Alajlani, M., Abd-Alrazaq, A. A., Arvanitis, T. N., & Epiphaniou, G. (2026) · Journal of Medical Internet Research · doi:10.2196/83381 · Cited by 3 · see citing works
Mihaltan, F. D., Coșei, V. C., Borcea, C.-I., & Constantin, A. (2020) · Pneumologia · doi:10.2478/pneum-2020-0006 · Cited by 1 · see citing works
“At the same time, mHealth should complement regular care (26).”
BackgroundWang, H., Manning, S. E., Ho, A. F., & Sambamoorthi, U. (2022) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-022-01307-5 · Cited by 1 · see citing works
“Given the evidence of better healthcare outcomes associated with the effective use of EHR/PHR [42, 43], interventions for PHR use should be advocated for.”
BackgroundHengst, T. M., Lechner, L., Dohmen, D., Pasupathy, P., van Veen, A., de Kruif, M. D., Oudbier, S. J., & Bolman, C. A. W. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5254764 · Cited by 1 · see citing works
mHealth Interventions for Self-Management of Chronic Disease
Sumilang, C. A. (2019) · Advances in mobile and distance learning book series · doi:10.4018/978-1-5225-9351-5.ch004
Enfermedad pulmonar obstructiva crónica: Apoyo familiar a pacientes
Cisneros-Martínez, J. A. (2019) · Kompass Neumología · doi:10.1159/000502672
Self-management support using mHealth in patients with COPD
Korpershoek, Y. (2021) · doi:10.33540/518
Self-citationTelerehabilitation assessment domains and process in chronic diseases: a scoping meta-reviewPreprint
Chapel, B., Alexandre, F., Héraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2021) · Research Square · doi:10.21203/rs.3.rs-568354/v1
Rojas, A. N., Molina‐Recio, G., & de Torres, L. Á. P. (2021) · doi:10.2196/preprints.35704
Chapel, B., Alexandre, F., Héraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Research Square · doi:10.21203/rs.3.rs-568354/v2
Percepción de las aplicaciones M-Salud en adultos mayores: revisión sistemática
Benavides-Guerrero, C., Hernández-Cortés, P. L., Valtier, M. C. G., & Rendón-Torres, L. A. (2022) · SANUS · doi:10.36789/revsanus.vi1.288
Tarigan, A. P., Pradana, A., Rhinsilva, E., Ramadhani, A. A., Sihombing, B., Monica, N. S., & Vera, Y. (2024) · SCRIPTA SCORE Scientific Medical Journal · doi:10.32734/scripta.v5i2.14694
“[10] This study was conducted for three months.”
MethodYu, H., Qiu, W., Wang, Y., Wu, Q., Hu, K., Ye, Q., & Yang, Q. (2023) · JMIR Aging · doi:10.2196/53796
Foppiani, A., Calcaterra, V., Bertoli, S., Battezzati, A., Frontini, M., & Zuccotti, G. (2025) · Telemedicine Reports · doi:10.1177/26924366251374495
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423695
Guo, M., & Lyu, L. (2024) · Figshare · doi:10.6084/m9.figshare.26581457
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423692
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423689
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423698
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423701
Etruw, E., Huynh, V. C., Sharpe, H. M., Fuhr, D. P., Bok, E., Dubois, R., Damant, R. W., & Stickland, M. K. (2026) · ERJ Open Research · doi:10.1183/23120541.01305-2025
Haghparast, A., Okhovvat, M., Khoddam, H., Khandashpour, M., & Kolagari, S. (2026) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_1928_24
“[45] argued that providing medical advice and self‑care processes using mobile devices may pose safety risks because of significant variability among patients and their respective symptoms.”
Hengst, T. M., Lechner, L., Dohmen, D., Pathman, P., van Veen, A., de Kruif, M. D., Oudbier, S. J., & Bolman, C. A. W. (2026) · Exploration of Digital Health Technologies · doi:10.37349/edht.2026.1011101
- Authors
- Korpershoek, Y. J. G., Vervoort, S. C. J. M., Trappenburg, J. C. A., & Schuurmans, M. J.
- Affiliations
- University of Applied Sciences Utrecht (NL)
- University Medical Center Utrecht (NL)
- Corresponding author
- Korpershoek, Y. J. G.
- Venue
- BMC Health Services Research
- Published
- 2018-10-04
- Volume
- 18
- Issue
- 1
- Pages
- 757-757
- ISSN
- 1472-6963 (ISSN-L)
- PMC
- PMC6172846
- OpenAlex
- W2895582407
- Cited by
- 87
- References
- 36
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 10 · 2023: 14 · 2022: 16 · 2021: 14 · 2020: 12 · 2019: 6
- FWCI
- 12.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Health Services Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Funders
- Universiteit van Amsterdam
- Vrije Universiteit Amsterdam
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- chronic obstructive pulmonary disease, COPD exacerbations, self-management, mobile health, patient perspectives, healthcare provider perceptions, decision support, patient engagement, personalized interventions
- MeSH terms
- Self-Management, Facilities and Services Utilization, Aged, Attitude of Health Personnel, Attitude to Health, Female, Health Personnel, Health Status, Humans, Male, Middle Aged, Perception, Self Care, Focus Groups, Telemedicine, Pulmonary Disease, Chronic Obstructive, Qualitative Research
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