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Adoption, non-adoption, and abandonment of a personal electronic health record: case study of HealthSpace
Open accessAbstract
OBJECTIVE: To evaluate the policy making process, implementation by NHS organisations, and patients' and carers' experiences of efforts to introduce an internet accessible personal electronic health record (HealthSpace) in a public sector healthcare system. DESIGN: Mixed method, multilevel case study. SETTING: English National Health Service; the basic HealthSpace technology (available throughout England) and the advanced version (available in a few localities where this option had been introduced) were considered. MAIN OUTCOME MEASURES: National statistics on invitations sent, HealthSpace accounts created, and interviews and ethnographic observation of patients and carers. Data analysis was informed by a socio-technical approach which considered macro and micro influences on both adoption and non-adoption of innovations, and by the principles of critical discourse analysis. PARTICIPANTS: 56 patients and carers (of whom 21 opened a basic HealthSpace account, 20 had diabetes but were not initially using HealthSpace, and 15 used advanced HealthSpace accounts to exchange messages with their general practitioner), 3000 pages of documents (policies, strategies, business plans, minutes of meetings, correspondence), observational field notes, and 160 interviews with policy makers, project managers, and clinical staff. RESULTS: Between 2007 and October 2010, 172 950 people opened a basic HealthSpace account. 2913 (0.13% of those invited) opened an advanced account, compared with 5-10% of the population anticipated in the original business case. Overall, patients perceived HealthSpace as neither useful nor easy to use and its functionality aligned poorly with their expectations and self management practices. Those who used email-style messaging were positive about its benefits, but enthusiasm beyond three early adopter clinicians was low, and fewer than 100 of 30 000 patients expressed interest. Policy makers' hopes that "deploying" HealthSpace would lead to empowered patients, personalised care, lower NHS costs, better data quality, and improved health literacy were not realised over the three year evaluation period. CONCLUSION: Unless personal electronic health records align closely with people's attitudes, self management practices, identified information needs, and the wider care package (including organisational routines and incentive structures for clinicians), the risk that they will be abandoned or not adopted at all is substantial. Conceptualising such records dynamically (as components of a socio-technical network) rather than statically (as containers for data) and employing user centred design techniques might improve their chances of adoption and use. The findings raise questions about how eHealth programmes in England are developed and approved at policy level.
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“For example, attempts to introduce shareable electronic records by first encouraging patients to enroll, and then hoping that health care providers and organisations will follow, have failed due to resistance of clinicians and healthcare organisations [27, 28].”
From Transitioning a home telehealth project into a sustainable, large-scale service: a qualitative study (2016) · cites this paper as [27]
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“Additionally, these findings suggest the need for closer proximity between innovation design and evaluation, so that critical insights might usefully feed back into design and implementation [11,13] ensuring interventions are ‘minimally disruptive’ for recipients [42].”
From Exploring barriers to participation and adoption of telehealth and telecare within the Whole System Demonstrator trial: a qualitative study (2012) · cites this paper as [13]
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“Previous studies have described the challenges brought by the new ‘work’ and scrutiny associated with such interventions [12,38,39] and where the disruption of normalised everyday practices and interactions regarding management have been recognised a major barrier to the integration of e-health interventions into routine care and management [13,40,41].”
From Exploring barriers to participation and adoption of telehealth and telecare within the Whole System Demonstrator trial: a qualitative study (2012) · cites this paper as [13]
In the citing paper
“However, the existing evidence mainly relates to organizational readiness within the health service [17,18] or the readiness of health professionals [19-21], patients or carers for a specific single digital health service [22].”
In the citing paper
“Previous research relating to the use of personal electronic health records has demonstrated less public and professional appetite than anticipated [22,44].”
In the citing paper
“Information and communication technology (ICT) programmes in health care fail partly because people do not use the technologies.”
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Cites
The Discovery of Grounded Theory: Strategies for Qualitative Research
Glaser, B. G., & Strauss, A. L. (2017) · Aldine (Routledge reprint) · doi:10.4324/9780203793206 · Cited by 25,789
Diffusion of Innovations in Service Organizations: Systematic Review and Recommendations
GREENHALGH, T., ROBERT, G., MACFARLANE, F., BATE, P., & KYRIAKIDOU, O. (2004) · The Milbank Quarterly · doi:10.1111/j.0887-378x.2004.00325.x · Cited by 7,448
Self-citationA Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1
Klein, H. K., & Myers, M. D. (1999) · MIS Quarterly · doi:10.2307/249410 · Cited by 5,263
The Constant Comparative Method of Qualitative Analysis
Glaser, B. G. (1965) · Social Problems · doi:10.2307/798843 · Cited by 4,937
Improving Primary Care for Patients With Chronic Illness
Bodenheimer, T. (2002) · JAMA · doi:10.1001/jama.288.14.1775 · Cited by 2,961
Tales of the Field: On Writing Ethnography
Roufs, T. G., & Maanen, J. V. (1992) · The American Indian Quarterly · doi:10.2307/1185464 · Cited by 2,607
Improving Primary Care for Patients With Chronic Illness: The Chronic Care Model, Part 2
Bodenheimer, T., Wagner, E. H., & Grumbach, K. (2002) · JAMA · doi:10.1001/jama.288.15.1909 · Cited by 2,413
Pratt, M. G., Rockmann, K. W., & Kaufmann, J. B. (2006) · Academy of Management Journal · doi:10.5465/amj.2006.20786060 · Cited by 1,973
Discourse: A Critical Introduction.
Blommaert, J. (2008) · Linguistische Berichte (LB) · doi:10.46771/2366077500214_7 · Cited by 1,525
Tales of the field: on writing ethnography
(1988) · Choice Reviews Online · doi:10.5860/choice.26-1597 · Cited by 1,394
Flagged first, then by citations
2 of the 55 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [2]Darzi A. NHS next stage review: our vision for primary and community care. Stationery Office, 2008.
- [13]Gamble KH. Is it registering? Patient portals, part II. Healthc Inform 2009; 26: 24,26,28. 19514236
- [21]Simborg DW. Consumer empowerment versus consumer populism in healthcare IT. J Am Med Inform Assoc 2010; 17: 370-2. 20595301 10.1136/jamia.2010.003392 PMC2995650 · DOI
Cited by
Sorted by citations
Items 101–200 of 343
Ross, J., Cotterill, S., Bower, P., & Murray, E. (2023) · Journal of Medical Internet Research · doi:10.2196/40961 · Cited by 33
Embedding online patient record access in UK primary care: a survey of stakeholder experiences
Pagliari, C., Shand, T., & Fisher, B. (2012) · JRSM Short Reports · doi:10.1258/shorts.2012.012009 · Cited by 34
Electronic Health Records Are More Than a Work Tool
Cajander, Å., & Grünloh, C. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300865 · Cited by 33
Druss, B. G., & Dimitropoulos, L. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.03.012 · Cited by 32
25 Years of Electronic Health Record Implementation Processes: Scoping Review
Finnegan, H., & Mountford, N. (2025) · Journal of Medical Internet Research · doi:10.2196/60077 · Cited by 33
Electronic personal health records for people with severe mental illness; a feasibility study
Robotham, D., Mayhew, M., Rose, D. S., & Wykes, T. (2015) · BMC Psychiatry · doi:10.1186/s12888-015-0558-y · Cited by 32
Fraccaro, P., Vigo, M., Balatsoukas, P., Buchan, I. E., Peek, N. B., & van der Veer, S. N. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.12.028 · Cited by 33
Qualitative research as evidence: expanding the paradigm for evidence-based healthcare
Williams, V., Boylan, A. R., & Nunan, D. (2019) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2018-111131 · Cited by 32
Coorey, G., Peiris, D., Usherwood, T. P., Neubeck, L., Mulley, J., & Redfern, J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218447 · Cited by 32
Talboom-Kamp, E. P. W. A., Tossaint-Schoenmakers, R., Goedhart, A., Versluis, A., & Kasteleyn, M. J. (2020) · JMIR Formative Research · doi:10.2196/17060 · Cited by 32
Ruhi, U., & Chugh, R. (2021) · Journal of Medical Internet Research · doi:10.2196/26877 · Cited by 31
Cheng, C. C., Elsworth, G. R., & Osborne, R. H. (2021) · Journal of Medical Internet Research · doi:10.2196/32777 · Cited by 31
Differences Between Diabetes Patients Who Are Interested or Not in the Use of a Patient Web Portal
Ronda, M. C. M., Dijkhorst-Oei, L.-T., Gorter, K. J., Beulens, J. W. J., & Rutten, G. E. H. M. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0023 · Cited by 33
Cabitza, F., Simone, C., & Michelis, G. D. (2014) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2014.03.009 · Cited by 31
Mold, F., & de Lusignan, S. (2015) · Journal of Personalized Medicine · doi:10.3390/jpm5040452 · Cited by 30
Patients’ Experiences with and Attitudes towards a Diabetes Patient Web Portal
Ronda, M. C. M., Dijkhorst-Oei, L.-T., & Rutten, G. E. H. M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129403 · Cited by 33
Designing User-Centric Patient Portals: Clinician and Patients' Uses and Gratifications
Alpert, J. M., Krist, A. H., Aycock, R. A., & Kreps, G. L. (2016) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2016.0096 · Cited by 31
Open e-learning platforms and the design–reality gap: an affordance theory perspective
McCarthy, S., Rowan, W., Kahma, N., Lynch, L., & Ertiö, T. P. (2021) · Information Technology and People · doi:10.1108/itp-06-2021-0501 · Cited by 42
Underpinning a Guiding Theory of Patient-Centered E-Health
Wilson, E. V., Wang, W., & Sheetz, S. D. (2014) · Communications of the Association for Information Systems · doi:10.17705/1cais.03416 · Cited by 33
Lupton, D. A. (2019) · Digital Health · doi:10.1177/2055207619847017 · Cited by 30
Leach, B., Parkinson, S., Gkousis, E., Abel, G., Atherton, H., Campbell, J., Clark, C. E., Cockcroft, E., Marriott, C., Pitchforth, E., et al. (2022) · Journal of Medical Internet Research · doi:10.2196/33911 · Cited by 27
Nov, O., & Schecter, W. P. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22602 · Cited by 29
Lau, A. Y., Proudfoot, J., Andrews, A., Liaw, S.-T., Crimmins, J., Arguel, A., & Coiera, E. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2414 · Cited by 28
Banfield, M., & Forbes, O. (2018) · International Journal of Mental Health Systems · doi:10.1186/s13033-018-0194-2 · Cited by 28
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Porter, A. M., Badshah, A., Black, S., Fitzpatrick, D., Harris‐Mayes, R., Islam, S., Jones, M., Kingston, M. R., LaFlamme-Williams, Y., Mason, S. M., et al. (2020) · Health Services and Delivery Research · doi:10.3310/hsdr08100 · Cited by 28
Patient Portal Implementation and Uptake: Qualitative Comparative Case Study
Avdagovska, M., Ballermann, M. A., Olson, K. L., Graham, T. A. D., Menon, D., & Stafinski, T. (2020) · Journal of Medical Internet Research · doi:10.2196/18973 · Cited by 27
Burr (2021) · doi:10.1016/j.socscimed.2021.114155 · Cited by 29
de Lusignan, S., Ross, P., Shifrin, M. A., Hercigonja-Szekeres, M., & Brigitte Séroussi, A. (2013) · Studies in health technology and informatics · doi:10.3233/978-1-61499-289-9-397 · Cited by 27
Egerton, T., Nelligan, R. K., Setchell, J., Atkins, L., & Bennell, K. L. (2017) · BMC Family Practice · doi:10.1186/s12875-017-0656-7 · Cited by 32
Goeman, D., Michael, J., King, J., Luu, H., Emmanuel, C., & Koch, S. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-011451 · Cited by 26
From IT Silos to Integrated Solutions. A Study in E-Health Complexity
Bygstad, B., Hanseth, O., & Le, D. (2015) · European Conference on Information Systems · doi:10.18151/7217283 · Cited by 39
Ramtohul, I. (2015) · Health Policy and Technology · doi:10.1016/j.hlpt.2015.04.007 · Cited by 26
Lycett, K., Wittert, G., Gunn, J. M., Hutton, C., Clifford, S. A., & Wake, M. A. (2014) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-14-61 · Cited by 26
de Jong, C. C., Ros, W. J. G., van Leeuwen, M., & Schrijvers, G. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.01.001 · Cited by 24
McCleary, N. J., Greenberg, T. L., Barysauskas, C. M., Guerette, E. J., Hassan, M., Jacobson, J. O., & Schrag, D. (2018) · Journal of Oncology Practice · doi:10.1200/jop.17.00008 · Cited by 25
Mitchell, K. M., Holtz, B., & McCarroll, A. M. (2018) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2018.0236 · Cited by 25
Coiera, E. W. (2013) · The Medical Journal of Australia · doi:10.5694/mja13.10101 · Cited by 24
Gross, N., Byers, V., & Geiger, S. (2021) · Health Policy and Technology · doi:10.1016/j.hlpt.2021.100551 · Cited by 23
Jamieson, J., Yamashita, N., Epstein, D. A., & Chen, Y. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479868 · Cited by 25
A Multilevel Investigation of Participation Within Virtual Health Communities
Kordzadeh, N., Liu, C. Z., Au, Y. A., & Clark, J. G. (2014) · Communications of the Association for Information Systems · doi:10.17705/1cais.03426 · Cited by 24
eHealth strategies and platforms – The issue of health equity in Sweden
Hellberg, S., & Johansson, P. (2016) · Health Policy and Technology · doi:10.1016/j.hlpt.2016.09.002 · Cited by 24
Making it work for me: beliefs about making a personal health record relevant and useable
Fylan, F., Caveney, L., Cartwright, A., & Fylan, B. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3254-z · Cited by 25
Toni, E., Pirnejad, H., Makhdoomi, K., Mivefroshan, A., & Niazkhani, Z. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01689-2 · Cited by 23
Education as ehealth infrastructure: considerations in advancing a national agenda for ehealth
Hilberts, S., & Gray, K. M. (2013) · Advances in Health Sciences Education · doi:10.1007/s10459-013-9442-z · Cited by 23
Pham, Q., Cafazzo, J. A., & Feifer, A. (2017) · JMIR Research Protocols · doi:10.2196/resprot.8051 · Cited by 22
Abel, G., Atherton, H., Sussex, J., Akter, N., Aminu, A. Q., Bak, W., Bryce, C., Clark, C. E., Cockcroft, E., Evans, H., et al. (2024) · Health and Social Care Delivery Research · doi:10.3310/jkyt5803 · Cited by 23
TreC platform. An integrated and evolving care model for patients’ empowerment and data repository
Eccher, C., Gios, L., Zanutto, A., Bizzarri, G., Conforti, D., & Forti, S. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103359 · Cited by 22
Fujioka, J. K., Bickford, J., Gritke, J., Stamenova, V., Jamieson, T., Bhatia, R. S., & Desveaux, L. (2021) · Journal of Medical Internet Research · doi:10.2196/28924 · Cited by 23
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Chen, J., Or, C. K., Li, Z., Yeung, E., & Chen, T. (2025) · JMIR Serious Games · doi:10.2196/49847 · Cited by 21
Ose, D. J., Kunz, A., Pohlmann, S., Hofmann, H., Qreini, M., Krisam, J., Uhlmann, L., Jacke, C. O., Winkler, E. C., Salize, H. J., et al. (2017) · JMIR Research Protocols · doi:10.2196/resprot.6314 · Cited by 21
Mullins, A. K., Morris, H., Bailey, C., Ben‐Meir, M., Rankin, D., Mousa, M. M., & Skouteris, H. (2021) · Health Information Science and Systems · doi:10.1007/s13755-021-00148-6 · Cited by 21
Kordzadeh, N. (2016) · Healthcare delivery in the information age · doi:10.1007/978-3-319-25973-4_6 · Cited by 21
Plastiras, P., & O’Sullivan, D. M. (2017) · Journal of Medical Systems · doi:10.1007/s10916-017-0838-9 · Cited by 22
Mold, F., Raleigh, M., Alharbi, N., & de Lusignan, S. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7858 · Cited by 22
Somers, C., Grieve, E., Lennon, M., Bouamrane, M.-M., Mair, F. S., & McIntosh, E. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9990 · Cited by 20
Psaila, K., Fowler, C., Kruske, S., & Schmied, V. A. (2014) · Women and Birth · doi:10.1016/j.wombi.2014.08.004 · Cited by 20
Use of content management systems to address nursing workflow
Ang, R. J. (2019) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2019.09.012 · Cited by 19
van Calis, J. F. E., Bevelander, K. E., van der Cruijsen, A. W. C., Leusink, G. L., & Naaldenberg, J. (2023) · Journal of Medical Internet Research · doi:10.2196/45819 · Cited by 25
FRY, C. L., Spriggs, M. P., Arnold, M., & Pearce, C. (2014) · AJOB Empirical Bioethics · doi:10.1080/23294515.2014.919972 · Cited by 19
Adoption of an Electronic Patient Record Sharing Pilot Project: Cross-Sectional Survey
Wang, J., Huang, J., Cheung, C. S. K., Wong, W. N., Cheung, N. T., & Wong, M. C. S. (2020) · Journal of Medical Internet Research · doi:10.2196/13761 · Cited by 19
Use of email for consulting with patients in general practice
Atherton, H. (2013) · British Journal of General Practice · doi:10.3399/bjgp13x664072 · Cited by 19
Ncube, T., Murray, Ú., & Dennehy, D. (2023) · Communications of the Association for Information Systems · doi:10.17705/1cais.05306 · Cited by 21
Milne, H., Huby, G. Ø., Buckingham, S. C., Hayward, J., Sheikh, A., Cresswell, K. M., & Pinnock, H. (2014) · Health Expectations · doi:10.1111/hex.12320 · Cited by 18
Roelofsen, Y., Hendriks, S. H., Sieverink, F., van Vugt, M., van Hateren, K. J., Snoek, F. J., de Wit, M., Gans, R. O. B., Groenier, K. H., van Gemert‐Pijnen, J. E. W. C., et al. (2014) · BMC Endocrine Disorders · doi:10.1186/1472-6823-14-22 · Cited by 17
Thompson, C. A., Mebrahtu, T. F., Skyrme, S., Bloor, K. E., Andre, D., Keenan, A., Ledward, A., Yang, H., & Randell, R. (2023) · Health and Social Care Delivery Research · doi:10.3310/grnm5147 · Cited by 19
A Systematic Evaluation of Mobile Applications for Diabetes Management
Martin, C. E., Flood, D., SUTTON, D. R., Aldea, A., Harrison, R., & Waite, M. A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23768-3_59 · Cited by 17
Accounting for Complexity in Home Telemonitoring: A Need for Context-Centred Evidence
Ware, P., Seto, E., & Ross, H. J. (2018) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2018.01.022 · Cited by 18
du Pon, E., Kleefstra, N., Cleveringa, F. G. W., van Dooren, A. A., Heerdink, E. R., & van Dulmen, S. (2020) · Journal of Diabetes Research · doi:10.1155/2020/5013142 · Cited by 18
van Vugt, M., de Wit, M., Hendriks, S. H., Roelofsen, Y., Bilo, H. J. G., & Snoek, F. J. (2013) · BMC Endocrine Disorders · doi:10.1186/1472-6823-13-53 · Cited by 19
Wisse, J. J., Scaramuzzo, G., Pellegrini, M., Heunks, L. M. A., Piraino, T., Somhorst, P., Brochard, L. J., Mauri, T., Ista, E., & Jonkman, A. H. (2024) · Intensive Care Medicine Experimental · doi:10.1186/s40635-024-00686-9 · Cited by 16
Qualitative evaluation of the implementation and national roll-out of the NHS App in England
Reidy, C., Papoutsi, C., Sukriti, K. C., Gudgin, B., Laverty, A. A., Greaves, F., & powell, J. A. (2025) · BMC Medicine · doi:10.1186/s12916-024-03842-w · Cited by 16
Anoshiravani, A., Gaskin, G. L., Kopetsky, E., Sandborg, C. I., & Longhurst, C. (2011) · PubMed · Cited by 16
Mohammed, M. A., Montague, J., Faisal, M., & Lamming, L. (2019) · Universal Access in the Information Society · doi:10.1007/s10209-019-00693-8 · Cited by 16
Factors Influencing Consumer Adoption of Electronic Health Records
Mathai, N., McGill, T. J., & Toohey, D. (2020) · Journal of Computer Information Systems · doi:10.1080/08874417.2020.1802788 · Cited by 17
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McHattie, L.-S., Cumming, G., & French, T. (2014) · Medicine 2 0 · doi:10.2196/med20.3128 · Cited by 16
Azizi, A., Aboutorabi, R., Khorasani, Z. M., Afzal-Aghaea, M., Tabesh, H., & Tara, M. (2016) · JMIR Medical Informatics · doi:10.2196/medinform.6433 · Cited by 16
Brigitte Séroussi, A., & Jacques Bouaud, A. (2016) · PubMed Central · Cited by 16
Skills and characteristics of the e-health literate patient
Osborne, R. H., & Kayser, L. (2018) · BMJ · doi:10.1136/bmj.k1656 · Cited by 15
Mold, F., Ellis, B., de Lusignan, S., Sheikh, A., Wyatt, J. C., Cavill, M., Michalakidis, G., Barker, F., Majeed, A., Quinn, T., et al. (2013) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v20i4.17 · Cited by 15
Geuens, J., Geurts, L., Swinnen, T. W., Westhovens, R., Mechelen, M. V., & Abeele, V. V. (2018) · Participatory Design Conference · doi:10.1145/3210604.3210649 · Cited by 15
Generating unique IDs from patient identification data using security models
Mohammed, E. A., Slack, J. C., & Naugler, C. T. (2016) · Journal of Pathology Informatics · doi:10.4103/2153-3539.197203 · Cited by 15
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Janke, T. M., Augustin, M., & Otten, M. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0926-5 · Cited by 14
Laranjo, L., Rodolfo, I., Pereira, A. M., & Sá, A. B. D. (2017) · JMIR Medical Informatics · doi:10.2196/medinform.7887 · Cited by 14
Gagnon, M., Ndiaye, M. A., Larouche, A., Chabot, G., Chabot, C., Buyl, R., Fortin, J., Giguere, A. M. C., LeBlanc, A., Légaré, F., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-028554 · Cited by 18
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Shen, N., Jankowicz, D., & Strudwick, G. (2021) · JMIR Research Protocols · doi:10.2196/24274 · Cited by 15
Ose, D. J., Baudendistel, I., Pohlmann, S., Winkler, E. C., Kunz, A., & Szécsényi, J. (2017) · Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen · doi:10.1016/j.zefq.2017.04.006 · Cited by 13
Advancing Ehealth Education for the Clinical Health Professions
Gray, K. M., Dattakumar, A., Maeder, A. J., Butler-Henderson, K. A., & Chenery, H. J. (2014) · eCite Digital Repository (University of Tasmania) · Cited by 13
Exploring Healthcare Professionals’ Perspectives on Electronic Medical Records: A Qualitative Study
Torkman, R., Ghapanchi, A. H., & Ghanbarzadeh, R. (2025) · Information · doi:10.3390/info16030236 · Cited by 12
A Review of the Empirical Evidence of the Healthcare Benefits of Personal Health Records
Fernando, B., & Kalra, D. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638838 · Cited by 12
An information revolution: time for the NHS to step up to the challenge
Atherton, H., & Majeed, A. (2011) · Journal of the Royal Society of Medicine · doi:10.1258/jrsm.2011.110062 · Cited by 12
Amiri, P., Pirnejad, H., Bahaadinbeigy, K., ShojaeiBaghini, M., Khazaee, P. R., & Niazkhani, Z. (2023) · Health Science Reports · doi:10.1002/hsr2.1394 · Cited by 11
MacLure, K., Stewart, D. C., & Strath, A. (2013) · European Journal of Hospital Pharmacy · doi:10.1136/ejhpharm-2013-000337 · Cited by 12
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Metadata
- Authors
- Greenhalgh, T., Hinder, S., Stramer, K., Bratan, T., & Russell, J.
- Affiliations
- Queen Mary University of London (GB)
- University College London (GB)
- Corresponding author
- Greenhalgh, T.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2010-11-16
- Volume
- 341
- Issue
- nov16 1
- Pages
- c5814-c5814
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC2982892
- OpenAlex
- W2053939792
- Cited by
- 343
- References
- 55
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 13 · 2023: 14 · 2022: 16 · 2021: 25 · 2020: 21 · 2019: 24 · 2018: 26 · 2017: 35 · 2016: 31 · 2015: 27 · 2014: 29 · 2013: 29 · 2012: 21
- FWCI
- 40.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- technology adoption, non-adoption, patient and caregiver experiences, socio-technical approach, patient empowerment, self-management, user-centered design, patient-clinician communication, health information needs, health literacy, critical discourse analysis, patient-centered care
- MeSH terms
- England, Health Policy, Humans, Patient Acceptance of Health Care, Patient Participation, Software, State Medicine, Internet, Electronic Mail, Electronic Health Records
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