Theoretical frameworks in telemedicine research

The purposive use of theory is a foundational component of research, which underpins the design, methodology, measures, interventions, and interpretation of the research project. This should be considered from the time the nascent idea of the research is born, until the final interpretation of results and write up of the discussion. Several theories relevant to telemedicine are described, discussed, and linked to typical research questions in the field.

[1]  A. D. Fisk,et al.  Systematic human factors evaluation of a teledermatology system within the U.S. military. , 2008, Telemedicine journal and e-health.

[2]  M. Gagnon INFORMATION AND COMMUNICATION TECHNOLOGY ADOPTION BY HEALTHCARE PROFESSIONALS: AN OVERVIEW OF THEORETICAL MODELS AND THEIR APPLICATION , 2006 .

[3]  M. Gagnon,et al.  Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model , 2011, Journal of telemedicine and telecare.

[4]  Paul Wallace,et al.  Understanding the normalization of telemedicine services through qualitative evaluation. , 2003, Journal of the American Medical Informatics Association : JAMIA.

[5]  F. Mair,et al.  Integrating telecare for chronic disease management in the community: What needs to be done? , 2011, BMC health services research.

[6]  D Gammon,et al.  An Overview and Analysis of Theories Employed in Telemedicine Studies , 2008, Methods of Information in Medicine.

[7]  Tom H. F. Broens,et al.  Determinants of successful telemedicine implementations: a literature study , 2007, Journal of telemedicine and telecare.

[8]  M. Gagnon,et al.  Using a modified technology acceptance model to evaluate healthcare professionals' adoption of a new telemonitoring system. , 2012, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[9]  S. Kelders,et al.  Persuasive System Design Does Matter: A Systematic Review of Adherence to Web-Based Interventions , 2012, Journal of medical Internet research.

[10]  W. Suter,et al.  Theory-based telehealth and patient empowerment. , 2011, Population health management.

[11]  Lars Mathiassen,et al.  The Dialectics of Resilience: A Multilevel Analysis of a Telehealth Innovation , 2006, The Transfer and Diffusion of Information Technology for Organizational Resilience.

[12]  Blackford Middleton,et al.  The value proposition in the widespread use of telehealth , 2008, Journal of telemedicine and telecare.

[13]  J. Kvedar,et al.  “Real-World” Practical Evaluation Strategies: A Review of Telehealth Evaluation , 2014, JMIR research protocols.

[14]  Liezl Van Dyk A Review of Telehealth Service Implementation Frameworks , 2014 .

[15]  J. Profetto-McGrath,et al.  The intellectual structure and substance of the knowledge utilization field: A longitudinal author co-citation analysis, 1945 to 2004 , 2008, Implementation science : IS.

[16]  Elizabeth H. Payne,et al.  Psychotherapy for depression in older veterans via telemedicine: a randomised, open-label, non-inferiority trial. , 2015, The lancet. Psychiatry.

[17]  Martin Knapp,et al.  Cost effectiveness of telehealth for patients with long term conditions (Whole Systems Demonstrator telehealth questionnaire study): nested economic evaluation in a pragmatic, cluster randomised controlled trial , 2013, BMJ.

[18]  Matthew A. Hutchins,et al.  Human-Centered Evaluation for Broadband Tertiary Outpatient Telehealth: A Case Study , 2010, Int. J. Hum. Comput. Interact..

[19]  Warren Bareiss,et al.  Telemedicine in South Dakota , 2001, New Media Soc..

[20]  Paul Jen-Hwa Hu,et al.  Evaluating telemedicine systems success: a revised model , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[21]  Parand Mansouri-Rad,et al.  Culture Matters: Factors Affecting the Adoption of Telemedicine , 2013, 2013 46th Hawaii International Conference on System Sciences.

[22]  Enrico Coiera Why e‐health is so hard , 2013, The Medical journal of Australia.

[23]  Nir Menachemi,et al.  Factors Affecting the Adoption of Telemedicine—A Multiple Adopter Perspective , 2004, Journal of Medical Systems.

[24]  Mary F. Coleman,et al.  Activity Theory Framework: A Basis for E-Health Readiness Assessment in Health Institutions , 2013 .

[25]  Sally McClean,et al.  A randomised clinical trial of the effectiveness of home-based health care with telemonitoring in patients with COPD , 2015, Journal of telemedicine and telecare.

[26]  Richard E Scott,et al.  Telehealth outcomes: a synthesis of the literature and recommendations for outcome indicators. , 2007, Journal of telemedicine and telecare.

[27]  Fu-Ren Lin,et al.  Analyzing the sustainability of a newly developed service: An activity theory perspective , 2014 .

[28]  P. Lehoux,et al.  Exploring routine use of telemedicine through a case study in rehabilitation. , 2014, Revista panamericana de salud publica = Pan American journal of public health.

[29]  Davide Nicolini The work to make telemedicine work: a social and articulative view. , 2006, Social science & medicine.

[30]  A. Darkins The growth of telehealth services in the Veterans Health Administration between 1994 and 2014: a study in the diffusion of innovation. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[31]  C. May Towards a general theory of implementation , 2013, Implementation Science.

[32]  Geri Gay,et al.  The theory, development, and implementation of an e-intervention to prevent excessive gestational weight gain: e-Moms Roc. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[33]  Chyan Yang,et al.  International Journal of Information Management the Intellectual Development of the Technology Acceptance Model: a Co-citation Analysis , 2022 .

[34]  J. Grigsby,et al.  The evaluation of telemedicine and health services research. , 2005, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[35]  R. Ward The application of technology acceptance and diffusion of innovation models in healthcare informatics , 2013 .

[36]  Chung-Hung Tsai Integrating Social Capital Theory, Social Cognitive Theory, and the Technology Acceptance Model to Explore a Behavioral Model of Telehealth Systems , 2014, International journal of environmental research and public health.

[37]  David Ben-Arieh,et al.  The role of human factors in telehealth. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[38]  Richard Wootton,et al.  Adoption of telemedicine: from pilot stage to routine delivery , 2012, BMC Medical Informatics and Decision Making.

[39]  Rashid Bashshur,et al.  Telemedicine evaluation. , 2005, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[40]  Elizabeth A. Krupinski,et al.  Designing Telehealth for an Aging Population: A Human Factors Perspective , 2011 .

[41]  H. Richards,et al.  Adoption of telemedicine in Scottish remote and rural general practices: a qualitative study , 2007, Journal of telemedicine and telecare.

[42]  Trine S Bergmo,et al.  Approaches to economic evaluation in telemedicine , 2012, Journal of telemedicine and telecare.

[43]  A. Darkins,et al.  Reduced cost and mortality using home telehealth to promote self-management of complex chronic conditions: a retrospective matched cohort study of 4,999 veteran patients. , 2015, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[44]  Rebecca Zapatochny Rufo,et al.  Use of change management theories in gaining acceptance of telemedicine technology. , 2012, Critical care nursing quarterly.

[45]  Ayca Tarhan,et al.  Pervasive Computing Technologies for Healthcare (PervasiveHealth) , 2015 .

[46]  R. By,et al.  Organisational change management: A critical review , 2005 .

[47]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[48]  F. Jódar-Sánchez,et al.  Cost-utility analysis of a telehealth programme for patients with severe chronic obstructive pulmonary disease treated with long-term oxygen therapy , 2014, Journal of telemedicine and telecare.

[49]  Dean F. Sittig,et al.  On the Importance of Using a Multidimensional Sociotechnical Model to Study Health Information Technology , 2011, The Annals of Family Medicine.

[50]  M Berg,et al.  The theory of use behind telemedicine: how compatible with physicians' clinical routines? , 2002, Social science & medicine.

[51]  F. Mair,et al.  Resisting and promoting new technologies in clinical practice: the case of telepsychiatry. , 2001, Social science & medicine.

[52]  J. Hiller,et al.  Clinician Acceptance is the Key Factor for Sustainable Telehealth Services , 2014, Qualitative health research.

[53]  Marija Jankovic,et al.  Predictive modelling of telehealth system deployment , 2015, J. Simulation.

[54]  Rolf Wynn,et al.  Characteristics of successfully implemented telemedical applications , 2007, Implementation science : IS.

[55]  C. Dowrick,et al.  Implementation Science Development of a Theory of Implementation and Integration: Normalization Process Theory , 2022 .

[56]  Joshua H. West,et al.  Apps of Steel: Are Exercise Apps Providing Consumers With Realistic Expectations? , 2013, Health education & behavior : the official publication of the Society for Public Health Education.

[57]  Frances S Mair,et al.  Understanding factors that inhibit or promote the utilization of telecare in chronic lung disease , 2008, Chronic illness.

[58]  Joseph P. Wherton,et al.  The organising vision for telehealth and telecare: discourse analysis , 2012, BMJ Open.

[59]  Marie-Pierre Gagnon,et al.  An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians , 2003, Int. J. Medical Informatics.

[60]  Mickael Bech,et al.  A MODEL FOR ASSESSMENT OF TELEMEDICINE APPLICATIONS: MAST , 2012, International Journal of Technology Assessment in Health Care.

[61]  W. Nilsen,et al.  Health behavior models in the age of mobile interventions: are our theories up to the task? , 2011, Translational behavioral medicine.

[62]  In Young Choi,et al.  Factors influencing the acceptance of telemedicine for diabetes management , 2014, Cluster Computing.

[63]  P. Bower,et al.  An organisational analysis of the implementation of telecare and telehealth: the whole systems demonstrator , 2012, BMC Health Services Research.

[64]  P. Plsek,et al.  The challenge of complexity in health care , 2001, BMJ : British Medical Journal.

[65]  R. S. Gundim,et al.  A graphical representation model for telemedicine and telehealth center sustainability. , 2011, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[66]  B. Rush,et al.  National Telehealth Outcome Indicators Project [NTOIP] - Project Information Document and a Synthesis of Telehealth Outcomes Literature , 2003 .

[67]  D. Godden,et al.  Rational development of telehealth to support primary care respiratory medicine: patient distribution and organisational factors. , 2011, Primary care respiratory journal : journal of the General Practice Airways Group.

[68]  NepalSurya,et al.  A Framework for Telehealth Program Evaluation , 2014 .

[69]  Surya Nepal,et al.  A framework for telehealth program evaluation. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[70]  Antonio Miguel Cruz,et al.  What factors determine therapists’ acceptance of new technologies for rehabilitation – a study using the Unified Theory of Acceptance and Use of Technology (UTAUT) , 2015, Disability and rehabilitation.

[71]  Janet Morrison,et al.  Understanding the work of telehealth implementation using Normalization Process Theory , 2014 .

[72]  Anselm L. Strauss,et al.  Basics of qualitative research : techniques and procedures for developing grounded theory , 1998 .

[73]  Y. Kowitlawakul The Technology Acceptance Model: Predicting Nurses' Intention to Use Telemedicine Technology (eICU) , 2011, Computers, informatics, nursing : CIN.

[74]  J. Leukel,et al.  Agency Theory in E-Healthcare and Telemedicine: A Literature Study , 2012 .

[75]  Pamela Whitten,et al.  A systematic review of research methodology in telemedicine studies , 2007, Journal of telemedicine and telecare.

[76]  Richard J. Holden,et al.  The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.

[77]  Elizabeth Murray,et al.  Understanding the implementation of complex interventions in health care: the normalization process model , 2007, BMC Health Services Research.

[78]  Elizabeth Brooks,et al.  The diffusion of telehealth in rural American Indian communities: a retrospective survey of key stakeholders. , 2012, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[79]  Elena Parmelli,et al.  The effectiveness of strategies to change organisational culture to improve healthcare performance: a systematic review , 2011, Implementation science : IS.

[80]  Joan Torrent-Sellens,et al.  Drivers of telemedicine use: comparative evidence from samples of Spanish, Colombian and Bolivian physicians , 2014, Implementation Science.