Between reform and reality: institutional logics of data and digital in New Zealand’s health system transformation
DOI:
https://doi.org/10.47989/ir31iConf64137Keywords:
Health data, Health policy, Institutional logicsAbstract
Introduction. We report on an investigation into the strategic role of data in improving health equity during Aotearoa New Zealand’s 2019–2025 health reforms, using institutional logics to uncover stakeholder differences and barriers.
Method. Semi-structured interviews were conducted with fourteen professionals involved in the strategic use of health data and technology. Participants included government IT/data policy leads, senior IT/data leaders, Māori data governance experts, general practitioners, and IT health industry representatives.
Analysis. We identified a framework of eight institutional logics shaping stakeholders’ visions of data ideals: public good/equity logic, bureaucratic logic, market logic, professional logic, innovation logic, indigenous sovereignty logic, liberal-individual rights logic, and national sovereignty logic.
Results. Tensions between differing logics surrounding the ideal role of data in system reform help explain implementation challenges. These included balancing individual and collective data sovereignty and contrasting views on ownership of patient data as a public, commercial or professional good.
Conclusion(s). Whilst national shared systems have potential to increase equity through improved data flow, key implementation issues can be explained by a legacy of health data power struggles embedded in different institutional logics, intensified by fragmentation and underinvestment. Adaptive governance is needed to balance logics in delivering the vision for transformation.
References
Bailey, S., Hodgson, D., Lennie, S. J., Bresnen, M., & Hyde, P. (2020). Managing death: navigating divergent logics in end‐of‐life care. Sociology of health & illness, 42(6), 1277-1295. https://doi.org/https://doi.org/10.1111/1467-9566.13095
Bitomsky, L., Pfitzer, E. C., Nissen, M., & Kowatsch, T. (2024). Advancing health equity and the role of digital health technologies: a scoping review protocol. BMJ Open, 14(10), e082336. https://doi.org/10.1136/bmjopen-2023-082336
Carroll, S. R., Garba, I., Figueroa-Rodríguez, O. L., Holbrook, J., Lovett, R., Materechera, S., ... & Hudson,M. . (2023). The CARE principles for indigenous data governance. . Data Science Journal, 19(1), 43. https://doi.org/https://doi.org/10.5334/dsj-2020-043
Cascini, F., Pantovic, A., Al-Ajlouni, Y. A., Puleo, V., De Maio, L., & Ricciardi, W. (2024). Health data sharing attitudes towards primary and secondary use of data: a systematic review. EClinicalMedicine, 71. https://doi.org/https://doi.org/10.1016/j.eclinm.2024.102551
Cordes, A., Bak, M., Lyndon, M., Hudson, M., Fiske, A., Celi, L. A., & McLennan, S. (2024). Competing interests: digital health and indigenous data sovereignty. NPJ digital medicine, 7(1), 178. https://doi.org/https://doi.org/10.1038/s41746-024-01171-z
Currie, W. L., & Seddon, J. J. (2022). Stakes, positions and logics: An institutional field analysis of cross-border health IT policy. Journal of Information Technology, 37(2), 165-187. https://doi.org/https://doi.org/10.1177/02683962211040513
De Vaujany, F.-X., & Vaast, E. (2014). If these walls could talk: The mutual construction of organizational space and legitimacy. Organization science, 25(3), 713-731. https://doi.org/https://doi.org/10.1287/orsc.2013.0858
Digital Health Association. (2024). Budget 2024 produces funding reprioritisation for digital health. Retrieved 13 December from https://www.dha.org.nz/dha-media-releases/373-budget-2024-produces-funding-reprioritisation-for-digital-health/
Floridi, L., & Taddeo, M. (2016). What is data ethics? Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083). https://doi.org/10.1098/rsta.2016.0360
Goodrick, E., & Reay, T. (2011). Constellations of Institutional Logics:Changes in the Professional Work of Pharmacists. Work and Occupations, 38(3), 372-416. https://doi.org/10.1177/0730888411406824
Health and Disability Review Transition Unit. (2021). Health Reform White Paper Summary. https://www.dpmc.govt.nz/publications/health-reform-white-paper-summary
Health Disability System Review. (2019). Health and Disability System Review-Interim Report. Hauora Manaaki ki Aotearoa Whānui–Pūrongo mō Tēnei Wā. In: Health and Disability System Review Wellington.
Health New Zealand | Te Whatu Ora. (2021). Data and digital infrastructure and capability: Enabling health system transformation. Wellington Proactive release Retrieved from https://www.tewhatuora.govt.nz/publications/data-and-digital-infrastructure-and-capability-enabling-health-system-transformation
Health New Zealand | Te Whatu Ora. (2025). Health New Zealand | Te Whatu Ora releases Data and Digital consultation decision. https://www.tewhatuora.govt.nz/corporate-information/news-and-updates/health-new-zealand-te-whatu-ora-releases-data-and-digital-consultation-decision
Heeks, R., & Shekhar, S. (2019). Datafication, development and marginalised urban communities: An applied data justice framework. Information, Communication & Society, 22(7), 992-1011. https://doi.org/https://doi.org/10.1080/1369118X.2019.1599039
Heugens, P. P., & Lander, M. W. (2009). Structure! Agency!(and other quarrels): A meta-analysis of institutional theories of organization. Academy of management journal, 52(1), 61-85. https://doi.org/https://doi.org/10.5465/amj.2009.36461835
HiNZ. (2024). Budget 2024 recalls data and digital health funding. Retrieved 13 December from https://www.hinz.org.nz/news/673805/Budget-2024-recalls-data-and-digital-health-funding.htm%20Hinz
Hudson, M., Anderson, T., Dewes, T. K., Temara, P., Whaanga, H., & Roa, T. (2017). " He Matapihi ki te Mana Raraunga”-Conceptualising Big Data through a Māori lens. In K. T. Whaanga H, Apperley M, (Ed.), He whare hangarau Māori - language, culture and technology. (pp. 64–73.). Te Pua Wānanga ki te Ao / Faculty of Māori and Indigenous Studies, the University of Waikato;.
Itchhaporia, D. (2021). Population health: intersecting technology, data, health equity to achieve health care transformation. J Am Coll Cardiol, 78(15), 1569-1572. https://doi.org/10.1016/j.jacc.2021.09.001.
Kim, K. K., & Backonja, U. (2025). Digital health equity frameworks and key concepts: a scoping review. Journal of the American Medical Informatics Association, 32(5), 932-944. https://doi.org/https://doi.org/10.1111/1467-9566.13095
Kjekshus, L. E., & Bygstad, B. (2024). Competing institutional logics in healthcare organizations: theorising digitalism. Journal of Health Organization and Management, 38(8), 1299-1315. https://doi.org/https://doi.org/10.1108/JHOM-03-2024-0107
Kukutai, T., Campbell-Kamariera, K., Mead, A., Mikaere, K., Moses, C., Whitehead, J. & Cormack, D. . (2023). Māori data governance model. https://www.kahuiraraunga.io/_files/ugd/b8e45c_803c03ffe532414183afcd8b9ced10dc.pdf
Kukutai, T., Cassim, S., Clark, V., Jones, N., Mika, J., Morar, R., Muru-Lanning, M., Pouwhare, R., Teague, V., & Tuffery Huria, L. (2023). Māori data sovereignty and privacy.
Lagsten, J., & Nordström, M. (2017). Conflicting institutional logics in healthcare organisations: implications for IT governance. In Information technology governance in public organizations: Theory and practice (pp. 269-284). Springer. https://doi.org/https://doi.org/10.1007/978-3-319-58978-7_12
Liddell, K., Simon, D. A., & Lucassen, A. (2021). Patient data ownership: who owns your health? Journal of Law and the Biosciences, 8(2), lsab023. https://doi.org/https://doi.org/10.1093/jlb/lsab023
Lilley, S., Oliver, G., Cranefield, J., & Lewellen, M. (2024). Māori data sovereignty: contributions to data cultures in the government sector in New Zealand. Information, Communication & Society, 27(16), 2801-2816. https://doi.org/https://doi.org/10.1080/1369118X.2024.2302987
Lundhaug, K., Faxvaag, A., Stokke, R., & Andreassen, H. K. (2024). Shared patient information and trust: a qualitative study of a national eHealth system. BMC Digital Health, 2(1), 57. https://doi.org/https://doi.org/10.1186/s44247-024-00108-6
MacLeod, M., & Davidson, E. (2007). Exploring technology frames through interview narratives. https://doi.org/http://aisel.aisnet.org/amcis2007/203?utm_source=aisel.aisnet.org%2Famcis2007%2F203&utm_medium=PDF&utm_campaign=PDFCoverPages
McDonald, R., Cheraghi-Sohi, S., Bayes, S., Morriss, R., & Kai, J. (2013). Competing and coexisting logics in the changing field of English general medical practice. Social Science & Medicine, 93, 47-54. https://doi.org/https://doi.org/10.1016/j.socscimed.2013.06.010
Mikk, K. A., Sleeper, H. A., & Topol, E. J. (2017). The pathway to patient data ownership and better health. Jama, 318(15), 1433-1434. https://doi.org/10.1001/jama.2017.12145
New Zealand Herald. (2021). Covid 19 Delta outbreak: High Court rules release of Māori vaccination data to Whānau Ora, a week ahead of border reopening New Zealand Herald https://www.nzherald.co.nz/nz/covid-19-delta-outbreak-high-court-rules-release-of-maori-vaccination-data-to-whanau-ora-a-week-ahead-of-border-reopening/2SPC2UTV7YYZPM4XXAAV476YSA/
OECD. (2019). Health in the 21st century. Putting data to work for stronger health systems. In: Organisation for Economic Co‐operation and Development (OECD) Paris.
Orlikowski, W. J., & Gash, D. C. (1994). Technological frames: making sense of information technology in organizations. ACM Trans. Inf. Syst., 12(2), 174–207. https://doi.org/10.1145/196734.196745
Pierce, P., Ricciardi, F., & Zardini, A. (2017). Smart cities as organizational fields: A framework for mapping sustainability-enabling configurations. Sustainability, 9(9), 1506. https://doi.org/https://doi.org/10.3390/su9091506
Schneble, C. O., Elger, B. S., & Shaw, D. M. (2020). All our data will be health data one day: the need for universal data protection and comprehensive consent. Journal of medical Internet research, 22(5), e16879. https://doi.org/https://doi.org/10.2196/16879
Seastedt, K. P., Schwab, P., O’Brien, Z., Wakida, E., Herrera, K., Marcelo, P. G. F., Agha-Mir-Salim, L., Frigola, X. B., Ndulue, E. B., & Marcelo, A. (2022). Global healthcare fairness: We should be sharing more, not less, data. PLOS Digital Health, 1(10), e0000102. https://doi.org/https://doi.org/10.1371/journal.pdig.0000102
Snow, D. A., & Benford, R. D. (1988). Ideology, frame resonance, and participant mobilization. International social movement research, 1(1), 197-217.
Sonin, J., Becker, A., & Nipp, K. (2023). Designing health outcomes through patient data ownership. Journal of Hospital Medicine, 18(8), 765-768. https://doi.org/https://doi.org/10.1002/jhm.13148
Stats, N. (2021). COVID-19 lessons learnt: recommendations for improving the resilience of New Zealand’s government data system ( Stats NZ Tatauranga Aotearoa, Issue. https://www.health.govt.nz/about-us/new-zealands-health-system/health-system-roles-and-organisations/health-committees-and-boards/other-health-committees/health-and-disability-system-review
Te Mana Raraunga. (2018). Principles of Māori data sovereignty. https://www.temanararaunga.maori.nz/nga-rauemi
Tenbensel, T., Cumming, J., & Willing, E. (2023). The 2022 restructure of Aotearoa New Zealand's health system: Will it succeed in advancing equity where others have failed? Health Policy, 134, 104828. https://doi.org/https://doi.org/10.1016/j.healthpol.2023.104828
Thornton, P. H., Ocasio, W., & Lounsbury, M. (2012). The institutional logics perspective: Foundations, research, and theoretical elaboration. Oxford University Press.
Van Kessel, R., Seghers, L.-E., Anderson, M., Schutte, N. M., Monti, G., Haig, M., Schmidt, J., Wharton, G., Roman-Urrestarazu, A., & Larrain, B. (2024). A scoping review and expert consensus on digital determinants of health. Bulletin of the World Health Organization, 103(2), 110. https://doi.org/https://doi.org/10.1111/1467-9566.13095
Varhol, R. J., Randall, S., Boyd, J. H., & Robinson, S. (2022). Australian general practitioner perceptions to sharing clinical data for secondary use: a mixed method approach. BMC Primary Care, 23(1), 167. https://doi.org/https://doi.org/10.1186/s12875-022-01759-y
Vayena, E., & Blasimme, A. (2018). Health research with big data: time for systemic oversight. The journal of law, medicine & ethics, 46(1), 119-129. https://doi.org/https://doi.org/10.1177/1073110518766026
Wang, Y. C., & DeSalvo, K. (2018). Timely, granular, and actionable: informatics in the public health 3.0 era. American journal of public health, 108(7), 930-934. https://doi.org/https://doi.org/10.2105/AJPH.2018.304406
Weerasinghe, K., Pauleen, D., Taskin, N., & Scahill, S. (2023). Alignment of Big Data Perceptions Across Levels in Healthcare: The case of New Zealand. Australasian Journal of Information Systems, 27. https://doi.org/https://doi.org/10.3127/ajis.v27i0.4067
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Lesley Middleton, Jocelyn Cranefield, Verna Smith

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
