Advancing Symptom Science Through Use of Common Data Elements

Journal of Nursing Scholarship

Volumn 47, Issue 5, 2015, Pages 379-388

  Redeker, Nancy S ^a   Anderson, Ruth ^b   Bakken, Suzanne ^c   Corwin, Elizabeth ^d   Docherty, Sharron ^e   Dorsey, Susan G ^f   Heitkemper, Margaret ^g   Mccloskey, Donna Jo ^h   Moore, Shirley ⁱ   Pullen, Carol ^j   Rapkin, Bruce ^k   Schiffman, Rachel ^l   Waldrop Valverde, Drenna ^d   Grady, Patricia ^h  

^a YALE UNIVERSITY SCHOOL OF NURSING   (United States)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

^c Och Spine at New York Presbyterian Hospitals   (United States)

^d EMORY UNIVERSITY   (United States)

^e DUKE UNIVERSITY   (United States)

^f UNIVERSITY OF MARYLAND   (United States)

^g UNIVERSITY OF WASHINGTON   (United States)

^h NATIONAL INSTITUTE OF NURSING RESEARCH   (United States)

ⁱ CASE WESTERN RESERVE UNIVERSITY   (United States)

^j UNIVERSITY OF NEBRASKA MEDICAL CENTER   (United States)

^k ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^l UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

more..

Author keywords

Cognition; Fatigue; Mood; Pain; Sleep disturbance; Symptom management

Indexed keywords

COGNITION DISORDERS; COMMON DATA ELEMENTS; DISEASE MANAGEMENT; FATIGUE; HEALTH SERVICES RESEARCH; HUMAN; MOOD DISORDERS; NURSING RESEARCH; PAIN; PROCEDURES; SLEEP WAKE DISORDERS;

COGNITION DISORDERS; COMMON DATA ELEMENTS; DISEASE MANAGEMENT; FATIGUE; HEALTH SERVICES RESEARCH; HUMANS; MOOD DISORDERS; NURSING RESEARCH; PAIN; SLEEP WAKE DISORDERS;

EID: 84940796805     PISSN: 15276546     EISSN: 15475069     Source Type: Journal    
DOI: 10.1111/jnu.12155     Document Type: Article

References (33)

1. Alfano, C. M., Day, J. M., Katz, M. L., Herndon, J. E., 2nd, Bittoni, M. A., Oliveri, J. M., ... Paskett, E. D. (2009). Exercise and dietary change after diagnosis and cancer-related symptoms in long-term survivors of breast cancer. Psychooncology, 18, 128-133.
2. Allison, P. J., Locker, D., & Feine, J. S. (1997). Quality of life: A dynamic construct. Social Science and Medicine, 45, 221-230.
3. Barton, C., Kallem, C., VanDyke, P., Mon, D., & Richesson, R. (2011). Demonstrating "collect once, use many"-Assimilating public health secondary data use requirements into an existing domain analysis model. In AMIA Annual Symposium Proceedings, 2011 (pp. 98-107). American Medical Informatics Association. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3243233/
4. Bernhard, J., Hurny, C., Maibach, R., Herrmann, R., & Laffer, U. (1999). Quality of life as subjective experience: Reframing of perception in patients with colon cancer undergoing radical resection with or without adjuvant chemotherapy. Annals of Oncology, 10, 775-782.
5. Choquet, R., Maaroufi, M., deCarrara, A., Messiaen, C., Luigi, E., & Landais, P. (2014). A methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research. Journal of the American Medical Informatics Association, 22(1), 76-85. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/25038198
6. Cohen, M. Z., Thompson, C. B., Yates, B., Zimmerman, L., & Pullen, C. H. (2015). Implementing common data elements across studies to advance research. Nursing Outlook, 63(2), 181-188.
7. Cohen, S., Frank, E., Doyle, W. J., Skoner, D. P., Rabin, B. S., & Gwaltney, J. M., Jr. (1998). Types of stressors that increase susceptibility to the common cold in healthy adults. Health Psychology, 17, 214-223.
8. Corwin, E. J., Berg, J. A., Armstrong, T. S., DeVito Dabbs, A., Lee, K. A., Meek, P., & Redeker, N. (2014). Envisioning the future in symptom science. Nursing Outlook. doi:10.1016/j.outlook.2014.06.006
9. Dorsey, S. G., Schiffman, R., Redeker, N. S., Heitkemper, M., McCloskey, D. J., Weglicki, L. S., ... National Institute of Nursing Research Center Directors. (2014). National Institute of Nursing Research Centers of Excellence: A logic model for sustainability, leveraging resources, and collaboration to accelerate cross-disciplinary science. Nursing Outlook. doi:10.1016/j.outlook.2014.06.003.
10. Hariri, A. R., Goldberg, T. E., Mattay, V. S., Kolachana, B. S., Callicott, J. H., Egan, M. F., & Weinberger, D. R. (2003). Brain-derived neurotrophic factor val66met polymorphism affects human memory-related hippocampal activity and predicts memory performance. Journal of Neuroscience, 23, 6690-6694.
11. Hersh, W. R., Weiner, M. G., Embi, P. J., Logan, J. R., Payne, P. R., Bernstam, E. V., ... Saltz, J. H. (2013). Caveats for the use of operational electronic health record data in comparative effectiveness research. Medical Care, 51(8, Suppl. 3), S30-S37. doi:10.1097/MLR.0b013e31829b1dbd
12. Hoeymans, N., Feskens, E. J., Kromhout, D., & vanden Bos, G. A. (1997). Ageing and the relationship between functional status and self-rated health in elderly men. Social Science and Medicine, 45(10), 1527-1536.
13. International Organization for Standardization. (2014). ISO/IEC 11179-1:2004 Information technology-Metadata registries (MDR). Retrieved from http://www.iso.org/iso/catalogue_detail.htm?csnumber=35343
14. Jobe, J. B. (2003). Cognitive psychology and self-reports: Models and methods. Quality of Life Research, 12, 219-227.
15. Meredith, N., Zozus, M. N., Wilgus, R. I., & Hammond, W. E. (Under review). Considerations for data element identification and definition. Methods of Informatics in Medicine.
16. Mezuk, B., Rafferty, J. A., Kershaw, K. N., Hudson, D., Abdou, C. M., Lee, H., ... Jackson, J. S. (2010). Reconsidering the role of social disadvantage in physical and mental health: Stressful life events, health behaviors, race, and depression. American Journal of Epidemiology, 172, 1238-1249.
17. Nadkarni, P. M., & Brandt, C. A. (2006). The common data elements for cancer research: Remarks on functions and structure. Methods of Informatics in Medicine, 45(6), 594-601.
18. Nahm, M., Walden, A., McCourt, B., Pieper, K., Honeycutt, E., Hamilton, C.D., ...Hammond, E. (2010). Standardising clinical data elements. International Journal of Functional Informatics and Personalised Medicine, 3, 314-341.
19. National Cancer Institute. (2014). ca-BIG NCI data standards. Retrieved from https://wiki.nci.nih.gov/display/caDSR/caBIG-NCI+Data+Standards
20. National Institute on Drug Abuse. (2014). Common data elements. Retrieved from http://www.drugabuse.gov/about-nida/organization/cctn/ctn/resources/common-data-elements-cde
21. National Institute of Neurological Diseases and Stroke. (2014). NINDS common data elements. Retrieved from http://www.commondataelements.ninds.nih.gov/#page=Default
22. National Institute of Neurological Diseases and Stroke. (2015). Common data elements for traumatic brain injury. Retrieved from http://www.commondataelements.ninds.nih.gov/tbi.aspx#tab=Data_Standards
23. National Institute of Nursing Research. (2011). Bringing science to life: National Institute of Nursing Research strategic plan (11-7783). Bethesda, MD. Retrieved from https://www.ninr.nih.gov/sites/www.ninr.nih.gov/files/ninr-strategic-plan-2011.pdf
24. National Library of Medicine. (2014). Common data elements resource portal. Retrieved from http://www.nlm.nih.gov/cde/
25. Patient Reported Outcomes Measurement Information System. (2014). PROMIS. Retrieved from www.nihPROMIS.org
26. Rabiau, M., Knauper, B., & Miquelon, P. (2006). The eternal quest for optimal balance between maximizing pleasure and minimizing harm: The compensatory health beliefs model. British Journal of Health Psychology, 11, 139-153.
27. Rapkin, B. D., & Schwartz, C. E. (2004). Toward a theoretical model of quality-of-life appraisal: Implications of findings from studies of response shift. Health and Quality of Life Outcomes, 2, 14. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC408464/pdf/1477-7525-2-14.pdf
28. Research Electronic Data Capture. (2014). REDCap. Retrieved from http://www.project-redcap.org/
29. Safran, C., Bloomrosen, M., Hammond, W. E., Labkoff, S., Markel-Fox, S., Tang, P. C., ... Expert, P. (2007). Toward a national framework for the secondary use of health data: An American Medical Informatics Association White Paper. Journal of the American Medical Informatics Association, 14, 1-9.
30. Schwartz, C. E., & Rapkin, B. D. (2004). Reconsidering the psychometrics of quality of life assessment in light of response shift and appraisal. Health and Quality of Life Outcomes, 2, 16. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC408465/
31. Stanton, A. L., Danoff-Burg, S., Cameron, C. L., Snider, P. R., & Kirk, S. B. (1999). Social comparison and adjustment to breast cancer: An experimental examination of upward affiliation and downward evaluation. Health Psychology, 18, 151-158.
32. Suls, J., & Fletcher, B. (1985). Self-attention, life stress, and illness: A prospective study. Psychosomatic Medicine, 47, 469-481.
33. Wyrwich, K. W., & Tardino, V. M. (2006). Understanding global transition assessments. Quality of Life Research, 15, 995-1004.