Comparing Different Methods for Collection of Comorbidity Data Per the HCT-CI
Study Details
Study Description
Brief Summary
Comorbidity assessment in the field of HCT might be a burden on the medical team at the clinic or the research staff. This research study aims to explore and validate new methods, Claims-based and patient questionnaire-based, as alternatives to the standard chart-based method in order to facilitate comorbidity coding. The study aims to save time and effort of medical personnel and to ensure the inclusion of comorbidity information in all clinical trials and outcome research studies in order to improve the accuracy of treatment decision-making, patient assignment to appropriate HCT strategy and hence HCT outcomes.
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Detailed Description
Studies have shown the importance of pre-transplant comorbidities in predicting mortality after allogeneic HCT.
However, comorbidity assessment might be a burden on the medical team at the clinic or the research staff. This research study aims to explore and validate new methods as alternatives to the standard chart-based method in order to facilitate comorbidity coding. The study aims to save time and effort of medical personnel and to ensure the inclusion of comorbidity information in all clinical trials and outcome research studies in order to improve the accuracy of treatment decision-making, patient assignment to appropriate HCT strategy and hence HCT outcomes.
This study will investigate two parallel approaches aimed at simplifying comorbidity assessment and thereby facilitating wide-spread use of the HCT-CI. Patient questionnaire-based and Claims-based methods will be tested as possible alternative to the Chart-based method. primary outcome is prediction of non-relapse mortality. It is expected that once this method of comorbidity coding is validated, it will benefit physicians in non-academic institutions and community clinics.
Study Design
Outcome Measures
Primary Outcome Measures
- Compare the rate of agreement on HCT-CI scores between 3 measures [2 years]
3 measures: the questionnaire-based and the claims-based methods versus the chart-based method.
Secondary Outcome Measures
- Assess the accuracy of predicting HCT outcomes and resource utilization (e.g., hospitalization) between the three methods of scoring [2 years]
Eligibility Criteria
Criteria
Inclusion Criteria:
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Patients eligible for autologous or allogeneic HCT.
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Able to speak and read English.
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Willing and able to provide informed consent.
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There is no restriction based on diagnosis, intensity of conditioning regimen, type of donor graft, degree of HLA-matching, or stem cell source.
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Patients >20 years old
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Access to a telephone for study-related communications.
Exclusion Criteria:
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HCT candidates who cannot read, write, or speak English.
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Patients <20 years old
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Fred Hutchinson Cancer Research Center | Seattle | Washington | United States | 98109 |
Sponsors and Collaborators
- Fred Hutchinson Cancer Center
- National Heart, Lung, and Blood Institute (NHLBI)
Investigators
- Principal Investigator: Mohamed Sorror, MD, Associate Member, Fred Hutch
Study Documents (Full-Text)
None provided.More Information
Publications
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- Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83.
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- Diaconescu R, Flowers CR, Storer B, Sorror ML, Maris MB, Maloney DG, Sandmaier BM, Storb R. Morbidity and mortality with nonmyeloablative compared with myeloablative conditioning before hematopoietic cell transplantation from HLA-matched related donors. Blood. 2004 Sep 1;104(5):1550-8. Epub 2004 May 18.
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- Piccirillo JF, Vlahiotis A, Barrett LB, Flood KL, Spitznagel EL, Steyerberg EW. The changing prevalence of comorbidity across the age spectrum. Crit Rev Oncol Hematol. 2008 Aug;67(2):124-32. doi: 10.1016/j.critrevonc.2008.01.013. Epub 2008 Mar 28.
- Sabin SL, Rosenfeld RM, Sundaram K, Har-el G, Lucente FE. The impact of comorbidity and age on survival with laryngeal cancer. Ear Nose Throat J. 1999 Aug;78(8):578, 581-4.
- Sachdev M, Sun JL, Tsiatis AA, Nelson CL, Mark DB, Jollis JG. The prognostic importance of comorbidity for mortality in patients with stable coronary artery disease. J Am Coll Cardiol. 2004 Feb 18;43(4):576-82.
- Singh B, Bhaya M, Stern J, Roland JT, Zimbler M, Rosenfeld RM, Har-El G, Lucente FE. Validation of the Charlson comorbidity index in patients with head and neck cancer: a multi-institutional study. Laryngoscope. 1997 Nov;107(11 Pt 1):1469-75.
- Sorror ML, Maris MB, Storb R, Baron F, Sandmaier BM, Maloney DG, Storer B. Hematopoietic cell transplantation (HCT)-specific comorbidity index: a new tool for risk assessment before allogeneic HCT. Blood. 2005 Oct 15;106(8):2912-9. Epub 2005 Jun 30.
- Sorror ML, Maris MB, Storer B, Sandmaier BM, Diaconescu R, Flowers C, Maloney DG, Storb R. Comparing morbidity and mortality of HLA-matched unrelated donor hematopoietic cell transplantation after nonmyeloablative and myeloablative conditioning: influence of pretransplantation comorbidities. Blood. 2004 Aug 15;104(4):961-8. Epub 2004 Apr 27.
- van Spronsen DJ, Janssen-Heijnen ML, Lemmens VE, Peters WG, Coebergh JW. Independent prognostic effect of co-morbidity in lymphoma patients: results of the population-based Eindhoven Cancer Registry. Eur J Cancer. 2005 May;41(7):1051-7.
- 2650
- 4R00HL088021-03