Integrating Mixed Methods in Health Services and Delivery System Research
Predicting Cancer Mortality: Developing a New Cancer Care Variable Using Mixed Methods and the Quasi-Statistical Approach
Version of Record online: 21 OCT 2013
© Health Research and Educational Trust
Health Services Research
Volume 48, Issue 6pt2, pages 2208–2223, December 2013
How to Cite
Zickmund, S. L., Yang, S., Mulvey, E. P., Bost, J. E., Shinkunas, L. A. and LaBrecque, D. R. (2013), Predicting Cancer Mortality: Developing a New Cancer Care Variable Using Mixed Methods and the Quasi-Statistical Approach. Health Services Research, 48: 2208–2223. doi: 10.1111/1475-6773.12116
- Issue online: 26 NOV 2013
- Version of Record online: 21 OCT 2013
- Manuscript Accepted: 28 JUL 2013
- Veterans Administration
- Health Services Research & Development (HSR&D)
- mixed methods;
- view of self
To demonstrate the value of using a variable derived from qualitative analysis in subsequent quantitative analyses.
Data Sources/Study Setting
Mixed methods data were combined with 10-year mortality outcomes. Participants with cancer were recruited from services at a large teaching hospital, and mortality data were from the Social Security Death Index.
An observational concurrent or convergent mixed methods design was used to collect demographics and structured ratings along with qualitative data from 909 cancer patients at baseline.
Data Collection/Extraction Methods
Coding rules for qualitative data were defined for open-ended responses from cancer participants speaking about their view of self, and a variable was numerically coded for each case. Mortality outcomes were matched to baseline data, including the view of self variable.
Individuals with an improved view of self had a significantly lower mortality rate than those for whom it was worse or unchanged, even when adjusting for age, gender, and cancer stage.
Statistical analysis of qualitative data is feasible and can identify new predictors with health services' implications associated with cancer mortality. Future studies should consider the value of testing coded qualitative variables in relation with key health care outcomes.