One Health: Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives

Philip Scott; Craig Kuziemsky; Xinxin Zhu; Christian Nøhr; Elske Ammenwerth; Polina Kukhareva; Linda Peute; Romaric Marcilly

doi:10.1055/s-0043-1768729

Yearbook of Medical Informatics, Inhaltsverzeichnis

CC BY-NC-ND 4.0 · Yearb Med Inform 2023; 32(01): 076-083
DOI: 10.1055/s-0043-1768729

Special Section: Informatics for One Health

Working Group Contributions

One Health: Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives

Philip Scott

¹Institute of Management & Health, University of Wales Trinity Saint David, Carmarthen, Wales, UK

,

Craig Kuziemsky

²MacEwan University, Edmonton, Alberta, Canada

,

Xinxin Zhu

³Yale University, New Haven, CT, USA

,

Christian Nøhr

⁴Department for Sustainability and Planning, Aalborg University, Aalborg, Denmark

,

Elske Ammenwerth

⁵UMIT TIROL - Private University for Health Sciences and Health Informatics, Institute of Medical Informatics, Hall in Tirol, Austria

,

Polina Kukhareva

⁶Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA

,

Linda Peute

⁷Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands

,

Romaric Marcilly

⁸Univ. Lille, CHU Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, Lille, France

⁹Inserm, CIC-IT 1403 Lille, France

› Institutsangaben

Abstract

Summary

Objectives: To offer diverse but complementary perspectives on how biomedical and health informatics can be informed by and help to achieve the vision of One Health.

Methods: Overview of key considerations and critical discussion of common themes, barriers and opportunities, based on collaborative review by International Medical Informatics Association (IMIA) working group members active in related fields.

Results: Health and care systems are complex sociotechnical systems that need explicit design and implementation strategies to align with the goals of One Health. The evidence-based health informatics paradigm and associated frameworks for evaluation of digital health technologies need to broaden their scope to take full account of the One Health approach. Informatics has specific contributions to make to One Health, for example by improved user experience reducing energy consumption and effective app design enhancing medication adherence.

Conclusions: One Health is inherently intertwined with ergonomic, sociotechnical and evaluation perspectives in biomedical and health informatics. Health is a planetary issue that requires interdisciplinary collaborative action. The theories and principles of biomedical and health informatics offer many opportunities to transform digital health technology to better serve the One Health agenda.

Keywords

One Health - global health - informatics - ergonomics - technology assessment, biomedical

Volltext

Referenzen

References
1 Cook RA, Karesh WB, Osofsky SA. One World, One Health: Building Interdisciplinary Bridges to Health in a Globalized World; 2004. [available from: http://www.oneworldonehealth.org/sept2004/owoh_sept04.html (accessed November 22, 2022)].
2 Mackenzie JS, Jeggo M. The One Health Approach-Why Is It So Important? Trop Med Infect Dis 2019 May 31;4(2):88. doi: 10.3390/tropicalmed4020088.
3 World Health Organization, One Health; 2022. [available from: https://www.who.int/news-room/questions-and-answers/item/one-health (accessed November 22, 2022)].
4 Scott P, Adedeji T, Nakkas H, Andrikopoulou E. One Health in a Digital World: Technology, Data, Information and Knowledge. Yearb Med Inform 2023 Jul 6. doi: 10.1055/s-0043-1768718.
5 Berwick D. Escape fire: designs for the future of health care. New York: The Commonwealth Fund; 2002.
6 Benis A, Tamburis O, Chronaki C, Moen A. One Digital Health: A Unified Framework for Future Health Ecosystems. J Med Internet Res 2021 Feb 5;23(2):e22189. doi: 10.2196/22189.
7 Kuziemsky CE. Review of Social and Organizational Issues in Health Information Technology. Healthc Inform Res 2015 Jul;21(3):152-60. doi: 10.4258/hir.2015.21.3.152.
8 Champion C, Kuziemsky CE, Affleck E, Alvarez GG. A systems approach for modeling health information complexity. Int J Inf Manage 2019;49:343–354. doi:10.1016/j.ijinfomgt.2019.07.002.
9 Kuziemsky CE, Randell R, Borycki EM. Understanding Unintended Consequences and Health Information Technology. Contribution from the IMIA Organizational and Social Issues Working Group. Yearb Med Inform 2016 Nov 10;(1):53-60. doi: 10.15265/IY-2016-027.
10 Kuziemsky CE, Abraham J, Reddy MC. Characterizing Collaborative Workflow and Health Information Technology. In: Cognitive Informatics; 2019. p. 81–102. doi:10.1007/978-3-030-16916-9_6.
11 Berg M. Patient care information systems and health care work: a sociotechnical approach. Int J Med Inform 1999 Aug;55(2):87-101. doi: 10.1016/s1386-5056(99)00011-8.
12 Guo C, Ashrafian H, Ghafur S, Fontana G, Gardner C, Prime M. Challenges for the evaluation of digital health solutions-A call for innovative evidence generation approaches. NPJ Digit Med 2020 Aug 27;3:110. doi: 10.1038/s41746-020-00314-2.
13 Zhou Y, Ancker JS, Upahdye M, McGeorge NM, Guarrera TK, Hedge S, et al. The impact of interoperability of electronic health records on ambulatory physician practices: a discrete-event simulation study. Inform Prim Care 2013;21(1):21-9. doi: 10.14236/jhi.v21i1.36.
14 CDC. One Health; 2022. [available from: https://www.cdc.gov/onehealth/index.html (accessed December 6, 2022)].
15 McEwen SA, Collignon PJ. Antimicrobial Resistance: a One Health Perspective. Microbiol Spectr 2018;6. doi:10.1128/microbiolspec.ARBA-0009-2017.
16 Rigby M, Magrabi F, Scott P, Doupi P, Hypponen H, Ammenwerth E. Steps in Moving Evidence-Based Health Informatics from Theory to Practice. Healthc Inform Res 2016 Oct;22(4):255-60. doi: 10.4258/hir.2016.22.4.255.
17 Ammenwerth E, de Keizer N. A viewpoint on evidence-based health informatics, based on a pilot survey on evaluation studies in health care informatics. J Am Med Inform Assoc 2007 May-Jun;14(3):368-71. doi: 10.1197/jamia.M2276.
18 Oberin M, Badger S, Faverjon C, Cameron A, Bannister-Tyrrell M. Electronic information systems for One Health surveillance of antimicrobial resistance: a systematic scoping review. BMJ Glob Health 2022 Jan;7(1):e007388. doi: 10.1136/bmjgh-2021-007388.
19 Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M; Medical Research Council Guidance. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ 2008 Sep 29;337:a1655. doi: 10.1136/bmj.a1655.
20 Wilson JB, Salman M, Janzen E, Sparagano O, Speer N, Pantaleon L, et al. Community Network Integration: An approach to alignment of One Health partners for solutions to ‘Wicked’ problems of antimicrobial resistance. Prev Vet Med 2020 Feb;175:104870. doi: 10.1016/j.prevetmed.2019.104870.
21 Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda Adm Policy Ment Health 2011 Mar;38(2):65-76. doi: 10.1007/s10488-010-0319-7.
22 Thomas J, Petticrew M, Noyes J, Chandler J, Rehfuess E, Tugwell E, et al. Chapter 17: Intervention complexity. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, editors. Cochrane Handbook for Systematic Reviews of Interventions, 2022nd edition. Cochrane; n.d.
23 Ammenwerth E. Evidence-based Health Informatics: How Do We Know What We Know? Methods Inf Med 2015;54(4):298-307. doi: 10.3414/ME14-01-0119.
24 Anvari S, Neumark S, Jangra R, Sandre A, Pasumarthi K, Xenodemetropoulos. Best Practices for the Provision of Virtual Care: A Systematic Review of Current Guidelines. Telemed J E Health 2023 Jan;29(1):3-22. doi: 10.1089/tmj.2022.0004.
25 Sittig DF, Sherman JD, Eckelman MJ, Draper A, Singh H. i-CLIMATE: a „clinical climate informatics“ action framework to reduce environmental pollution from healthcare. J Am Med Inform Assoc 2022 Nov 14;29(12):2153-60. doi: 10.1093/jamia/ocac137.
26 Ryan JL. Diagnoses and charges of patients with ICD-10-CM environmental pollution exposure codes in Florida. J Clim Chang Health 2022;5:100083. doi:10.1016/j.joclim.2021.100083.
27 Sinclair JR. Importance of a One Health approach in advancing global health security and the Sustainable Development Goals. Rev Sci Tech 2019;38:145–54. doi:10.20506/rst.38.1.2949.
28 Lajaunie C, Ho CW. Pathogens collections, biobanks and related-data in a One Health legal and ethical perspective. Parasitology 2018 Apr;145(5):688-96. doi: 10.1017/S0031182017001986.
29 Madder M, Walker JG, Van Rooyen J, Knobel D, Vandamme E, Berkvens D, et al. e-Surveillance in animal health: use and evaluation of mobile tools. Parasitology 2012 Dec;139(14):1831-42. doi: 10.1017/S0031182012000571.
30 Arguello-Casteleiro M, Stevens R, Des-Diz J, Wroe C, Fernandez-Prieto MJ, Maroto N, et al. Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. J Biomed Semantics 2019 Nov 12;10(Suppl 1):22. doi: 10.1186/s13326-019-0212-6.
31 Ciarkowski CE, Timbrook TT, Kukhareva PV, Edholm KM, Hatton ND, Hopkins CL, et al. A Pathway for Community-Acquired Pneumonia With Rapid Conversion to Oral Therapy Improves Health Care Value. Open Forum Infect Dis 2020 Oct 19;7(11):ofaa497. doi: 10.1093/ofid/ofaa497.
32 Nykänen P, Brender J, Talmon J, de Keizer N, Rigby M, Beuscart-Zephir MC, et al. Guideline for good evaluation practice in health informatics (GEP-HI). Int J Med Inform 2011 Dec;80(12):815-27. doi: 10.1016/j.ijmedinf.2011.08.004.
33 Kukhareva PV, Weir C, Del Fiol G, Aarons GA, Taft TY, Schlechter CR, et al. Evaluation in Life Cycle of Information Technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation. J Biomed Inform 2022 Mar;127:104014. doi: 10.1016/j.jbi.2022.104014.
34 Cresswell K, Williams R, Sheikh A. Developing and Applying a Formative Evaluation Framework for Health Information Technology Implementations: Qualitative Investigation. J Med Internet Res 2020 Jun 10;22(6):e15068. doi: 10.2196/15068.
35 Staley J, Mazloom R, Lowe P, Newsum CT, Jaberi-Douraki M, Riviere J, et al. Novel Data Sharing Agreement to Accelerate Big Data Translational Research Projects in the One Health Sphere. Top Companion Anim Med 2019 Dec;37:100367. doi: 10.1016/j.tcam.2019.100367.
36 Haslam D. Side effects: how our healthcare lost its way and how we fix it; 2022. doi: 10.3399/bjgp22X721133.
37 Haslam D. „You're an expert in me“: the role of the generalist doctor in the management of patients with multimorbidity. J Comorb 2015 Nov 20;5:132-4. doi: 10.15256/joc.2015.5.65.
38 International Ergonomics Association, What is ergonomics?; 2022. [available from: https://iea.cc/what-is-ergonomics/ (accessed December 6, 2022)].
39 Moray N. Technosophy and Humane Factors. Ergon Des 1993;1:33–9. doi:10.1177/106480469300100409.
40 Nemire K. Introduction to the Special Issue on Combating Climate Change. Ergon Des 2014;22:3–3. doi:10.1177/1064804614556733.
41 Thatcher A. Green ergonomics: definition and scope. Ergonomics 2013;56(3):389-98. doi: 10.1080/00140139.2012.718371.
42 Holden RJ, Carayon P, Gurses AP, Hoonakker P, Hundt AS, Ozok AA, et al. SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients. Ergonomics 2013;56:1669–86. doi:10.1080/00140139.2013.838643.
43 Karliner J, Slotterback S, Boyd R, Steele K, Ashby B. Health Care Without Harm. Climate-smart health care series. Green Paper Number One. Produced in collaboration with Arup; September 2019.
44 Thompson M. The environmentally impacts of digital health. Digit Health 2021 Aug 10;7:20552076211033421. doi: 10.1177/20552076211033421.
45 ISO, Ergonomics of human-system interaction –Part 210: Human-centred design for interactive systems; 2010. [available from: https://www.iso.org/standard/52075.html (accessed December 6, 2022)].
46 García-Berná JA, Ouhbi S, Fernández-Alemán JL, de Gea JMC, Nicolás J. Investigating the Impact of Usability on Energy Efficiency of Web-based Personal Health Records. J Med Syst 2021 May 6;45(6):65. doi: 10.1007/s10916-021-01725-8.
47 García-Berná JA, Ouhbi S, Fernández-Alemán JL, Carrillo de Gea JM, Nicolás J, Moros B, et al. A Study on the Relationship between Usability of GUIs and Power Consumption of a PC: The Case of PHRs. Int J Environ Res Public Health 2021 Feb 3;18(4):1385. doi: 10.3390/ijerph18041385.
48 Adiseshiah EG. Green UX: Is your UI harming the environment? 2018. [available from: https://www.justinmind.com/blog/green-ux-is-your-ui-harming-the-environment/ (accessed December 6, 2022)].
49 Belkhir L, Elmeligi A. Carbon footprint of the global pharmaceutical industry and relative impact of its major players. J Clean Prod 2019;214:185–94. doi:10.1016/j.jclepro.2018.11.204.
50 Richie C. Environmental sustainability and the carbon emissions of pharmaceuticals. J Med Ethics 2022 May;48(5):334-7. doi: 10.1136/medethics-2020-106842.
51 Al-Arkee S, Mason J, Lane DA, Fabritz L, Chua W, Haque MS, et al. Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis. J Med Internet Res 2021 May 25;23(5):e24190. doi: 10.2196/24190.
52 Sutton RT, Pincock D, Baumgart DC, Sadowski DC, Fedorak RN, Kroeker KI. An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digit Med 2020 Feb 6;3:17. doi: 10.1038/s41746-020-0221-y.
53 Choudhry NK, Denberg TD, Qaseem A. Clinical Guidelines Committee of American College of Physicians. Improving Adherence to Therapy and Clinical Outcomes While Containing Costs: Opportunities From the Greater Use of Generic Medications: Best Practice Advice From the Clinical Guidelines Committee of the American College of Physicians. Ann Intern Med 2016 Jan 5;164(1):41-9. doi: 10.7326/M14-2427.
54 Goetz C, Rotman SR, Hartoularos G, Bishop TF. The effect of charge display on cost of care and physician practice behaviors: a systematic review. J Gen Intern Med 2015 Jun;30(6):835-42. doi: 10.1007/s11606-015-3226-5.
55 Tamblyn R, Winslade N, Qian CJ, Moraga T, Huang A. What is in your wallet? A cluster randomized trial of the effects of showing comparative patient out-of-pocket costs on primary care prescribing for uncomplicated hypertension. Implement Sci 2018 Jan 10;13(1):7. doi: 10.1186/s13012-017-0701-x.
56 Karsh BT, Waterson P, Holden RJ. Crossing levels in systems ergonomics: a framework to support ‘mesoergonomic’ inquiry. Appl Ergon 2014 Jan;45(1):45-54. doi: 10.1016/j.apergo.2013.04.021.
57 WHO. WHO Constitution; 1946. [available from: https://www.who.int/about/governance/constitution (accessed December 8, 2022).
58 Scott PJ, Keizer NFD, Georgiou A. Applied Interdisciplinary Theory in Health Informatics. Stud Health Technol Inform 2019;263. [available from: https://ebooks.iospress.nl/ISBN/978-1-61499-990-4 (accessed December 11, 2022).]
59 Jaspers MW, Gardner RM, Gatewood LC, Haux R, Leven FJ, Limburg M, et al. IPHIE: an International Partnership in Health Informatics Education. Stud Health Technol Inform 2000;77:549-53.