Abstract
The prior chapters have provided a general introduction to the evaluation process. This chapter describes what to do once evaluation questions are outlined and interest in conducting an evaluation project has deepened. The chapter begins with a description of a realistic evaluation mindset and warning of what might undermine the project during the planning stage. It then describes the role of stakeholders, the process of seeking evidence by searching for and reviewing the literature, the importance of Evidence Based Health Informatics (EBHI), and the necessity of organizing and conducting an evaluation study as a formal project.
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References
AHRQ (n.d.). https://www.ahrq.gov/research/findings/evidence-based-reports/index.html. Accessed 9 June 2021.
Ammenworth E, Rigby M. Evidence-based health informatics. Amsterdam: IOS Press; 2016.
Ash JS, Sittig DF, Poon EG, Guappone K, Campbell E, Dykstra RH. The extent and importance of unintended consequences related to computerized physician order entry. J Am Med Inform Assoc. 2007;14:415–23.
Brender J. Handbook of evaluation methods for health informatics. Amsterdam: Elsevier; 2006.
Campbell E, Sittig DF, Ash JS, Guappone K, Dykstra R. Types of unintended consequences related to computerized provider order entry. J Am Med Inform Assoc. 2006;13(5):547–56.
Carayon P, et al. Implementation of an electronic health records system in a small clinic: the viewpoint of clinic staff. Behaviour Inform Tech. 2009;28(1):5–20.
Cochrane.org (n.d.). https://www.cochrane.org/about-us. Accessed 9 June 2021.
Davies A, Mueller J, Moulton G. Core competencies for clinical informaticians: a systematic review. Int J Med Inform. 2020;141:104237.
Eriksen MB, Frandsen TF. The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: a systematic review. J Med Lib Assoc. 2018;106:420–31.
Gary A, Adhikan N, McDonald H, et al. Effect of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293:1223–38.
Greenhalgh T. Meta-narrative mapping: a new approach to the systemati review of complex evidence. In: Hurwitz B, Greenhalgh T, Skultans V, editors. Narrative research in health and illness. Boca Raton, FL: Wiley; 2008.
Hussain MI, Figuerredo MC, Tran BD, Su Z, Molldrem S, Eikey EV, Chen Y. A scoping review of qualitative research in JAMIA: past contributions and opportunities for future work. J Am Med Inform Assoc 00(0) 2020, 1–12.
Jaulent MC. Evidence-based health informatics. Yearbook of medical informatics 2013. Stuttgart: Schattauer; 2013.
Koppel R, Kreda D. Health care information technology vendors’ “hold harmless” clause: implications for patients and clinicians. JAMA. 2009;301(12):1276–8.
Larsen EP, Rao AH, Sasangohar F. Understanding the scope of downtime threats: a scoping review of downtime-focused literature and news media. Health Inform J. 2020;26(4):2660–72.
Leedy PD, Ormrod JE. Practical research: planning and design. 11th ed. Pearson: Boston, MA; 2016.
Lesselroth BJ, Felder RS, Adams SM, et al. Design and implementation of a medication reconciliation kiosk: the Automated Patient History Intake Device (APHID). J Am Med Inform Assoc. 2009;16(3):300–4.
Ludwick DA, Doucette J. Adopting electronic medical records in primary care: lessons learned from health information systems implementation experience in seven countries. Int J Med Inform. 2009;78:22–31.
Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. PLoS Med. 2009;6(7):e1000097.
Otte-Trojel T, Wong G. Going beyond systematics reviews: realist and meta-narrative reviews. In: Ammenwoerth E, Rigby M, editors. Evidence-based health informatics. Amsterdam: IOS Press; 2016.
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;22(4):255–60.
Rogers EM. Diffusion of innovations. 5th ed. New York: Free Press; 2003.
Sax U, Lipprandt M, Rohrig R. The rising frequency of IT blackouts indicates the increasing. Yearb Med Informatics. 2010:130–7.
Scott GPT, Shah P, Wyatt JC, Makubate B, Cross FW. Making electronic prescribing alerts more effective: scenario-based experimental study in junior doctors. J Am Med Inform Assoc. 2011;18(6):789–98.
UMD (n.d.). http://www.cs.umd.edu/hcil/quis/. Accessed 9 June 2021.
Whitfield D. Options appraisal criteria and matrix. ESSU Research Report No. 2, June 2007. https://www.researchgate.net/publication/228383838_Options_Appraisal_Criteria_and_Matrix. Accessed 9 June 2021.
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Answers to Self-Tests
Answers to Self-Tests
Self-Test 5.1
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1.
What sources would a team member want to look for first and for what topics?
The literature about Diffusion of Innovations Theory is vast. The team knows there is a classic book about it, so first a copy of that book should be located. It would be a good starting point if it included up to date references, but the book is old, so references are old. Therefore, the team should next locate papers in the health science literature about DOI and informatics interventions, so the team asks a librarian for guidance searching appropriate databases for papers at the intersection of those two broad topics.
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What would you do if you find 1000 papers about Diffusion of Innovations and ICT in health care?
You would narrow your search. You could try finding papers about DOI and patient entered data, but there might be other relevant papers of interest as well about DOI and patient facing technologies.
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Once you found a few especially helpful papers, what would you do?
Look at the references in those papers. Look at the index terms for those papers and use those terms when doing another search. Search a citation index database to find recent papers that have cited those key papers.
Self-Test 5.2
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What skills would the present team need to make sure were represented on an internal evaluation team?
Assuming the existing team members have informatics training, they are likely a mix of clinicians and ICT specialists. They probably know how to gather and analyze usage data, but they might want to make sure they have a usability specialist on the team and a clinician practicing in the outpatient environment. They should add a qualitative methodologist if they do not already have one on the team to plan the interview process. In addition, they will need a project manager.
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What skills might the team want in an advisory group?
To help with access to the usage data, a data specialist from the organization could become an advisor. To assist with the qualitative part, both an outside social scientist and a clinic manager who could help with building rapport in the clinics would be useful. The addition of a patient representative to gain that perspective would be a good idea as well.
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Friedman, C.P., Wyatt, J.C., Ash, J.S. (2022). Study Planning. In: Evaluation Methods in Biomedical and Health Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-86453-8_5
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