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Quality of Life Research

Gepubliceerd in:

01-06-2010

The development of a clinical outcomes survey research application: Assessment Center^SM

Auteurs: Richard Gershon, Nan E. Rothrock, Rachel T. Hanrahan, Liz J. Jansky, Mark Harniss, William Riley

Gepubliceerd in: Quality of Life Research | Uitgave 5/2010

Abstract

Introduction

The National Institutes of Health sponsored Patient-Reported Outcome Measurement Information System (PROMIS) aimed to create item banks and computerized adaptive tests (CATs) across multiple domains for individuals with a range of chronic diseases.

Purpose

Web-based software was created to enable a researcher to create study-specific Websites that could administer PROMIS CATs and other instruments to research participants or clinical samples. This paper outlines the process used to develop a user-friendly, free, Web-based resource (Assessment Center^SM) for storage, retrieval, organization, sharing, and administration of patient-reported outcomes (PRO) instruments.

Methods

Joint Application Design (JAD) sessions were conducted with representatives from numerous institutions in order to supply a general wish list of features. Use Cases were then written to ensure that end user expectations matched programmer specifications. Program development included daily programmer “scrum” sessions, weekly Usability Acceptability Testing (UAT) and continuous Quality Assurance (QA) activities pre- and post-release.

Results

Assessment Center includes features that promote instrument development including item histories, data management, and storage of statistical analysis results.

Conclusions

This case study of software development highlights the collection and incorporation of user input throughout the development process. Potential future applications of Assessment Center in clinical research are discussed.

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Zerhouni, E. (2003). Medicine. The NIH roadmap. Science, 302(5642), 63–72.CrossRefPubMed

Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(5 Suppl 1), S3–S11.CrossRefPubMed

DeWalt, D. A., Rothrock, N., Yount, S., & Stone, A. A. (2007). Evaluation of item candidates: The PROMIS qualitative item review. Medical Care, 45(5 Suppl 1), S12–S21.CrossRefPubMed

Cella, D., Riley, W., Stone, A. A., Rothrock, N., Reeve, B. B., & Yount, S., et al. (2009). Initial item banks and first wave testing of the patient reported outcomes measurement information system (PROMIS) network: 2005–2008. Journal of Clinical Epidemiology, In Press.

Cella, D., Gershon, R., Lai, J. S., & Choi, S. (2007). The future of outcomes measurement: Item banking, tailored short-forms, and computerized adaptive assessment. Quality of Life Research, 16(Suppl 1), 133–141.CrossRefPubMed

Lai, J. S., Cella, D., Chang, C. H., Bode, R. K., & Heinemann, A. W. (2003). Item banking to improve, shorten and computerize self-reported fatigue: An illustration of steps to create a core item bank from the FACIT-Fatigue Scale. Quality of Life Research, 12(5), 485–501.CrossRefPubMed

Davis, K. M., Chang, C. H., Lai, J. S., & Cella, D. (2002). Feasibility and acceptability of computerized adaptive testing (CAT) for fatigue monitoring in clinical practice. Quality of Life Research, 11(7), 134.

Ware, J. E., Jr., Kosinski, M., Bjorner, J. B., Bayliss, M. S., Batenhorst, A., Dahlof, C. G., et al. (2003). Applications of computerized adaptive testing (CAT) to the assessment of headache impact. Quality of Life Research, 12(8), 935–952.CrossRefPubMed

O’Carroll, P. W., O’Carroll, P. W., Yasnoff, W. A., Ward, M. E., Ripp, L. H., & Martin, E. L. (2003). Information architecture. In K. J. Hannah & M. J. Ball (Eds.), Public health informatics and information systems (pp. 85–97). New York: Springer.CrossRef

10.

Davidson, E. J. (1999). Joint application design (JAD) in practice. Journal of Systems and Software, 45(3), 215–223.CrossRef

11.

Schroeder, R. G., Linderman, K., Liedtke, C., & Choo, A. S. (2008). Six sigma: Definition and underlying theory. Journal of Operations Management, 26, 536–554.CrossRef

12.

Lane, J. P., Usiak, D. J., Stone, V. I., & Scherer, M. J. (1997). The voice of the customer: Consumers define the ideal battery charger. Assistive Technology, 9(2), 130–139.PubMed

13.

Sharp, A., & McDermott, P. (2001). Workflow modeling: Tools for process improvement and application development. Boston: Artech House.

14.

Reijers, H. A. (2003). Design and control of workflow processes: Business process management for the service industry. Berlin; New York: Springer.CrossRef

15.

Bittner, K., & Spence, I. (2003). Use case modeling. Boston: Addison-Wesley.

16.

Kulak, D., & Guiney, E. (2004). Use cases: Requirements in context. Boston, Mass: Addison-Wesley.

17.

Cockburn, A. (2002). Agile software development. Boston: Addison-Wesley.

18.

Highsmith, J. A. (2004). Agile project management: Creating innovative products. Boston: Addison-Wesley.

19.

Jansky, L. J., & Huang, J. C. (2009). A multi-method approach to assess usability and acceptability: A case study of the patient-reported outcomes measurement system (PROMIS) workshop. Social Science Computer Review, 27(2), 267–270.CrossRef

20.

Harniss, M. K., & Amtmann, D. (2008). Patient reported outcomes measurement information system (PROMIS) network study: Accessibility of the PROMIS computer adaptive testing system. Seattle: University of Washington Center on Outcomes in Rehabilitation Research.

21.

Section 508 of the Rehabilitation Act, as amended by the Workforce Investment Act of 1998 (P.L. 105–220)(1998).

22.

Lie, H. W., & Bos, B. (2005). Cascading style sheets: Designing for the web. Boston: Addison-Wesley Professional.

23.

Meyer, E. A. (2006). Cascading style sheets: The definitive guide. Sebastopol, CA: O’Reilly & Associates.

24.

Garcia, S. F., Cella, D., Clauser, S. B., Flynn, K. E., Lai, J. S., Reeve, B. B., et al. (2007). Standardizing patient-reported outcomes assessment in cancer clinical trials: A patient-reported outcomes measurement information system initiative. Journal of Clinical Oncology, 25(32), 5106–5112.CrossRefPubMed

25.

Gershon, R. G. (2007). NIH toolbox: Assessment of neurological and behavioral function. NIH (Contract HHS-N-260-2006 00007-C), from http://www.nihtoolbox.org.

26.

Chang, C. H. (2007). Patient-reported outcomes measurement and management with innovative methodologies and technologies. Quality of Life Research, 16(Suppl 1), 157–166.CrossRefPubMed

27.

Davis, K. M., & Cella, D. (2002). Assessing quality of life in oncology clinical practice: A review of barriers and critical success factors. Journal of Clinical Outcomes Management, 9(6), 327–332.

28.

Ruta, D., Coutts, A., Abdalla, M., Masson, J., Russell, E., Brunt, P., et al. (1995). Feasibility of monitoring patient based health outcomes in a routine hospital setting. Quality in Health Care, 4(3), 161–165.CrossRefPubMed

29.

DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., Jha, A., et al. (2008). Electronic health records in ambulatory care–a national survey of physicians. New England Journal Medicine, 359(1), 50–60.CrossRef

30.

Overhage, J. M., Evans, L., & Marchibroda, J. (2005). Communities’ readiness for health information exchange: The National Landscape in 2004. Journal of the American Medical Informatics Association, 12(2), 107–112.CrossRefPubMed

Titel: The development of a clinical outcomes survey research application: Assessment CenterSM
Auteurs: Richard Gershon
Nan E. Rothrock
Rachel T. Hanrahan
Liz J. Jansky
Mark Harniss
William Riley
Publicatiedatum: 01-06-2010
Uitgeverij: Springer Netherlands
Gepubliceerd in: Quality of Life Research / Uitgave 5/2010
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-010-9634-4

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Abstract

Introduction

Purpose

Methods

Results

Conclusions

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