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Gepubliceerd in: Quality of Life Research 11/2016

23-06-2016

The development and acceptability of symptom management quality improvement reports based on patient-reported data: an overview of methods used in PROSSES

Auteurs: Alyssa Troeschel, Tenbroeck Smith, Kathleen Castro, Katherine Treiman, Joseph Lipscomb, Ryan M. McCabe, Steven Clauser, Eliot L. Friedman, Patricia D. Hegedus, Kenneth Portier

Gepubliceerd in: Quality of Life Research | Uitgave 11/2016

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Abstract

Purpose

Patient experiences with symptom care need to be assessed and documented to ensure successful management of cancer-related symptoms. This paper details one method for creating symptom management quality improvement (SMQI) reports, including case-mix adjustment of patient-reported measures. Qualitative data regarding the acceptability of these reports at participating cancer centers (CCs) are also provided.

Methods

Data were collected from 2226 patients treated at 16 CCs via mailed/Web questionnaires. Twelve items assessing patient perceptions of symptom management—pain, fatigue, emotional distress—served as key quality indicators. Medico-demographic variables suitable for case-mix adjustment were selected using an index score combining predictive power and heterogeneity across CCs. SMQI reports were designed with staff feedback and produced for each CC, providing crude and adjusted CC-specific rates, along with study-wide rates for comparison purposes.

Results

Cancer type and participant educational level were selected for case-mix adjustment based upon high index scores. The Kendall rank correlation coefficient showed that case-mix adjustments changed the ranking of CCs on the key quality indicators (% Δ rank range: 5–22 %). The key quality indicators varied across CCs (all p < 0.02). SMQI reports were well received by CC staff, who described plans to share them with key personnel (e.g., cancer committee, navigator).

Conclusions

This paper provides one method for creating hospital-level SMQI reports, including case-mix adjustment. Variation between CCs on key quality indicators, even after adjustment, suggested room for improvement. SMQI reports based on patient-reported data can inform and motivate efforts to improve care through professional/patient education and applying standards of care.
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Literatuur
2.
go back to reference Patrick, D. L., Ferketich, S. L., Frame, P. S., Harris, J. J., Hendricks, C. B., Levin, B., & Vernon, S. W. (2003). National institutes of health state-of-the-science conference statement: symptom management in cancer: Pain, depression, and fatigue, July 15–17, 2002. Journal of the National Cancer Institute, 95(15), 1110–1117.CrossRefPubMed Patrick, D. L., Ferketich, S. L., Frame, P. S., Harris, J. J., Hendricks, C. B., Levin, B., & Vernon, S. W. (2003). National institutes of health state-of-the-science conference statement: symptom management in cancer: Pain, depression, and fatigue, July 15–17, 2002. Journal of the National Cancer Institute, 95(15), 1110–1117.CrossRefPubMed
4.
go back to reference Cella, D., & Fallowfield, L. J. (2008). Recognition and management of treatment-related side effects for breast cancer patients receiving adjuvant endocrine therapy. Breast Cancer Research and Treatment, 107(2), 167–180. doi:10.1007/s10549-007-9548-1.CrossRefPubMed Cella, D., & Fallowfield, L. J. (2008). Recognition and management of treatment-related side effects for breast cancer patients receiving adjuvant endocrine therapy. Breast Cancer Research and Treatment, 107(2), 167–180. doi:10.​1007/​s10549-007-9548-1.CrossRefPubMed
6.
go back to reference Barbera, L., Seow, H., Howell, D., Sutradhar, R., Earle, C., Liu, Y., & Dudgeon, D. (2010). Symptom burden and performance status in a population-based cohort of ambulatory cancer patients. Cancer, 116(24), 5767–5776. doi:10.1002/cncr.25681.CrossRefPubMed Barbera, L., Seow, H., Howell, D., Sutradhar, R., Earle, C., Liu, Y., & Dudgeon, D. (2010). Symptom burden and performance status in a population-based cohort of ambulatory cancer patients. Cancer, 116(24), 5767–5776. doi:10.​1002/​cncr.​25681.CrossRefPubMed
7.
go back to reference Oberguggenberger, A., Hubalek, M., Sztankay, M., Meraner, V., Beer, B., Oberacher, H., & Holzner, B. (2011). Is the toxicity of adjuvant aromatase inhibitor therapy underestimated? Complementary information from patient-reported outcomes (PROs). Breast Cancer Research and Treatment, 128(2), 553–561. doi:10.1007/s10549-011-1378-5.CrossRefPubMed Oberguggenberger, A., Hubalek, M., Sztankay, M., Meraner, V., Beer, B., Oberacher, H., & Holzner, B. (2011). Is the toxicity of adjuvant aromatase inhibitor therapy underestimated? Complementary information from patient-reported outcomes (PROs). Breast Cancer Research and Treatment, 128(2), 553–561. doi:10.​1007/​s10549-011-1378-5.CrossRefPubMed
9.
go back to reference Chen, J., Ou, L., & Hollis, S. (2013). A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting. BMC Health Services Research, 13(1), 211.CrossRefPubMedPubMedCentral Chen, J., Ou, L., & Hollis, S. (2013). A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting. BMC Health Services Research, 13(1), 211.CrossRefPubMedPubMedCentral
14.
go back to reference D’Agostino, R. B. (1998). Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine, 17(19), 2265–2281.CrossRefPubMed D’Agostino, R. B. (1998). Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine, 17(19), 2265–2281.CrossRefPubMed
15.
go back to reference Austin, P. C., & Mamdani, M. M. (2006). A comparison of propensity score methods: A case-study estimating the effectiveness of post-AMI statin use. Statistics in Medicine, 25(12), 2084–2106. doi:10.1002/sim.2328.CrossRefPubMed Austin, P. C., & Mamdani, M. M. (2006). A comparison of propensity score methods: A case-study estimating the effectiveness of post-AMI statin use. Statistics in Medicine, 25(12), 2084–2106. doi:10.​1002/​sim.​2328.CrossRefPubMed
16.
go back to reference Leung, K. M., Elashoff, R. M., Rees, K. S., Hasan, M. M., & Legorreta, A. P. (1998). Hospital- and patient-related characteristics determining maternity length of stay: a hierarchical linear model approach. American Journal of Public Health, 88(3), 377–381.CrossRefPubMedPubMedCentral Leung, K. M., Elashoff, R. M., Rees, K. S., Hasan, M. M., & Legorreta, A. P. (1998). Hospital- and patient-related characteristics determining maternity length of stay: a hierarchical linear model approach. American Journal of Public Health, 88(3), 377–381.CrossRefPubMedPubMedCentral
18.
go back to reference Smith, T. G., Castro, K. M., Troeschel, A. N., Arora, N. K., Lipscomb, J., Jones, S. M., & Clauser, S. B. (2015). The rationale for patient-reported outcomes surveillance in cancer and a reproducible method for achieving it. Cancer,. doi:10.1002/cncr.29767. Smith, T. G., Castro, K. M., Troeschel, A. N., Arora, N. K., Lipscomb, J., Jones, S. M., & Clauser, S. B. (2015). The rationale for patient-reported outcomes surveillance in cancer and a reproducible method for achieving it. Cancer,. doi:10.​1002/​cncr.​29767.
20.
go back to reference Halpern, M. T., Spain, P., Holden, D. J., Stewart, A., McNamara, E. J., Gay, G., & Clauser, S. (2013). Improving quality of cancer care at community hospitals: impact of the National Cancer Institute Community Cancer Centers Program pilot. Journal of Oncology Practice/American Society of Clinical Oncology, 9(6), e298–e304. doi:10.1200/JOP.2013.000937.CrossRef Halpern, M. T., Spain, P., Holden, D. J., Stewart, A., McNamara, E. J., Gay, G., & Clauser, S. (2013). Improving quality of cancer care at community hospitals: impact of the National Cancer Institute Community Cancer Centers Program pilot. Journal of Oncology Practice/American Society of Clinical Oncology, 9(6), e298–e304. doi:10.​1200/​JOP.​2013.​000937.CrossRef
21.
go back to reference Siegel, R. D., Castro, K. M., Eisenstein, J., Stallings, H., Hegedus, P. D., Bryant, D. M., & Clauser, S. B. (2015). Quality improvement in the national cancer institute community cancer centers program: the quality oncology practice initiative experience. J Oncol Pract, 11(2), e247–e254. doi:10.1200/jop.2014.000703.CrossRefPubMed Siegel, R. D., Castro, K. M., Eisenstein, J., Stallings, H., Hegedus, P. D., Bryant, D. M., & Clauser, S. B. (2015). Quality improvement in the national cancer institute community cancer centers program: the quality oncology practice initiative experience. J Oncol Pract, 11(2), e247–e254. doi:10.​1200/​jop.​2014.​000703.CrossRefPubMed
23.
go back to reference Rea, L. M., & Parker, R. A. (1992). Designing and conducting survey research: A comprehensive guide. San Francisco: Jossey-Bass Publishers. Rea, L. M., & Parker, R. A. (1992). Designing and conducting survey research: A comprehensive guide. San Francisco: Jossey-Bass Publishers.
25.
go back to reference Menard, S. (2000). Coefficients of determination for multiple logistic regression analysis. The American Statistician, 54, 17–24. Menard, S. (2000). Coefficients of determination for multiple logistic regression analysis. The American Statistician, 54, 17–24.
27.
go back to reference Agresti, A. (1996). An introduction to categorical data analysis. New Jersey: John Wiley & Sons Inc. Agresti, A. (1996). An introduction to categorical data analysis. New Jersey: John Wiley & Sons Inc.
29.
30.
34.
go back to reference Bennett, M. I., Bagnall, A.-M., & José Closs, S. (2009). How effective are patient-based educational interventions in the management of cancer pain? Systematic review and meta-analysis. Pain, 143(3), 192–199. doi:10.1016/j.pain.2009.01.016.PubMed Bennett, M. I., Bagnall, A.-M., & José Closs, S. (2009). How effective are patient-based educational interventions in the management of cancer pain? Systematic review and meta-analysis. Pain, 143(3), 192–199. doi:10.​1016/​j.​pain.​2009.​01.​016.PubMed
41.
go back to reference Kiefe, C. I., Allison, J. J., Williams, O., Person, S. D., Weaver, M. T., & Weissman, N. W. (2001). Improving quality improvement using achievable benchmarks for physician feedback: A randomized controlled trial. JAMA, 285(22), 2871–2879. doi:10.1001/jama.285.22.2871.CrossRefPubMed Kiefe, C. I., Allison, J. J., Williams, O., Person, S. D., Weaver, M. T., & Weissman, N. W. (2001). Improving quality improvement using achievable benchmarks for physician feedback: A randomized controlled trial. JAMA, 285(22), 2871–2879. doi:10.​1001/​jama.​285.​22.​2871.CrossRefPubMed
Metagegevens
Titel
The development and acceptability of symptom management quality improvement reports based on patient-reported data: an overview of methods used in PROSSES
Auteurs
Alyssa Troeschel
Tenbroeck Smith
Kathleen Castro
Katherine Treiman
Joseph Lipscomb
Ryan M. McCabe
Steven Clauser
Eliot L. Friedman
Patricia D. Hegedus
Kenneth Portier
Publicatiedatum
23-06-2016
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 11/2016
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1305-7

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