Published on in Vol 19, No 7 (2017): July

Studying Scale-Up and Spread as Social Practice: Theoretical Introduction and Empirical Case Study

Studying Scale-Up and Spread as Social Practice: Theoretical Introduction and Empirical Case Study

Studying Scale-Up and Spread as Social Practice: Theoretical Introduction and Empirical Case Study

Journals

  1. Maniatopoulos G, Hunter D, Erskine J, Hudson B. Large-scale health system transformation in the United Kingdom. Journal of Health Organization and Management 2020;34(3):325 View
  2. Grigorovich A, Fang M, Sixsmith J, Kontos P. Defining and evaluating transdisciplinary research: implications for aging and technology. Disability and Rehabilitation: Assistive Technology 2019;14(6):533 View
  3. Frost J, Wingham J, Britten N, Greaves C, Abraham C, Warren F, Dalal H, Taylor R. The value of social practice theory for implementation science: learning from a theory-based mixed methods process evaluation of a randomised controlled trial. BMC Medical Research Methodology 2020;20(1) View
  4. van Lieshout F, Yang R, Stamenova V, Agarwal P, Cornejo Palma D, Sidhu A, Engel K, Erwood A, Bhatia R, Bhattacharyya O, Shaw J. Evaluating the Implementation of a Remote-Monitoring Program for Chronic Obstructive Pulmonary Disease: Qualitative Methods from a Service Design Perspective. Journal of Medical Internet Research 2020;22(10):e18148 View
  5. Shaw S, Wherton J, Vijayaraghavan S, Morris J, Bhattacharya S, Hanson P, Campbell-Richards D, Ramoutar S, Collard A, Hodkinson I, Greenhalgh T. Advantages and limitations of virtual online consultations in a NHS acute trust: the VOCAL mixed-methods study. Health Services and Delivery Research 2018;6(21):1 View
  6. Knight-Davidson P, Lane P, McVicar A. Methods for co-creating with older adults in living laboratories: a scoping review. Health and Technology 2020;10(5):997 View
  7. Marjanovic S, Altenhofer M, Hocking L, Chataway J, Ling T. Innovating for improved healthcare: Sociotechnical and innovation systems perspectives and lessons from the NHS. Science and Public Policy 2020;47(2):283 View
  8. Shaw J, Agarwal P, Desveaux L, Palma D, Stamenova V, Jamieson T, Yang R, Bhatia R, Bhattacharyya O. Beyond “implementation”: digital health innovation and service design. npj Digital Medicine 2018;1(1) View
  9. Gough A, Prior L, Kee F, Hunter R. Physical activity and behaviour change: the role of distributed motivation. Critical Public Health 2020;30(2):153 View
  10. van der Westhuizen H, Kotze K, Tonkin-Crine S, Gobat N, Greenhalgh T. Face coverings for covid-19: from medical intervention to social practice. BMJ 2020:m3021 View
  11. McCrorie C, Benn J, Johnson O, Scantlebury A. Staff expectations for the implementation of an electronic health record system: a qualitative study using normalisation process theory. BMC Medical Informatics and Decision Making 2019;19(1) View
  12. Jin X, Zhang M, Zhou Z, Yu X. Application of a Blockchain Platform to Manage and Secure Personal Genomic Data: A Case Study of LifeCODE.ai in China. Journal of Medical Internet Research 2019;21(9):e13587 View
  13. Rotteau L, Albert M, Bhattacharyya O, Berta W, Webster F. Understanding decisions to scale up: a qualitative case study of three health service intervention evaluations. Journal of Health Services Research & Policy 2021;26(1):37 View
  14. Moyle W. The promise of technology in the future of dementia care. Nature Reviews Neurology 2019;15(6):353 View
  15. Greenhalgh T, Papoutsi C. Spreading and scaling up innovation and improvement. BMJ 2019:l2068 View
  16. Shaw J, Rudzicz F, Jamieson T, Goldfarb A. Artificial Intelligence and the Implementation Challenge. Journal of Medical Internet Research 2019;21(7):e13659 View
  17. Liberati E, Ruggiero F, Galuppo L, Gorli M, González-Lorenzo M, Maraldi M, Ruggieri P, Polo Friz H, Scaratti G, Kwag K, Vespignani R, Moja L. What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation. Implementation Science 2017;12(1) View
  18. van Beest W, Boon W, Andriessen D, Moors E, van der Veen G, Pol H. Successful implementation of self-management health innovations. Journal of Public Health 2020 View
  19. Côté-Boileau É, Denis J, Callery B, Sabean M. The unpredictable journeys of spreading, sustaining and scaling healthcare innovations: a scoping review. Health Research Policy and Systems 2019;17(1) View
  20. James H, Papoutsi C, Wherton J, Greenhalgh T, Shaw S. Spread, Scale-up, and Sustainability of Video Consulting in Health Care: Systematic Review and Synthesis Guided by the NASSS Framework. Journal of Medical Internet Research 2021;23(1):e23775 View
  21. Lee K, van Nassau F, Grunseit A, Conte K, Milat A, Wolfenden L, Bauman A. Scaling up population health interventions from decision to sustainability – a window of opportunity? A qualitative view from policy-makers. Health Research Policy and Systems 2020;18(1) View
  22. Myall M, May C, Richardson A, Bogle S, Campling N, Dace S, Lund S. Creating pre-conditions for change in clinical practice: the influence of interactions between multiple contexts and human agency. Journal of Health Organization and Management 2020;35(9):1 View
  23. Snell-Rood C, Jaramillo E, Hamilton A, Raskin S, Nicosia F, Willging C. Advancing health equity through a theoretically critical implementation science. Translational Behavioral Medicine 2021 View
  24. Carroll S, Kobayashi K, Cervantes M, Freeman S, Saini M, Tracey S. Supporting Healthy Aging through the Scale-Up, Spread, and Sustainability of Assistive Technology Implementation: A Rapid Realist Review of Participatory Co-Design for Assistive Technology with Older Adults. Gerontology and Geriatric Medicine 2021;7:233372142110232 View

Books/Policy Documents

  1. Côté-Boileau É, Paquette M, Denis J. Transitions and Boundaries in the Coordination and Reform of Health Services. View
  2. McWhorter R, Ellinger A. Handbook of Research on Innovative Techniques, Trends, and Analysis for Optimized Research Methods. View