Combining Qualitative and Quantitative Methods in IS in Healthcare Revisited

Combining Qualitative and Quantitative Methods in IS in Healthcare Revisited

Bonnie Kaplan (Yale University, USA)
DOI: 10.4018/978-1-59140-423-1.ch012
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Abstract

Using a variety of research methods provides several advantages. Through multiple methods, different kinds of data are collected, each set of which might provide partial information needed for a complete picture, thereby strengthening the robustness of research results. Research that combines qualitative and quantitative methods, though rare, provides an example of the benefits of multimethod studies. In this chapter, I describe three evaluation research studies that used a combination of qualitative and quantitative methods. In these studies, researchers produced results they would not have achieved if they had not combined methods. The first study is of a pioneering computer-based patient record and clinical decision support system, PROMIS. The second study is of a clinical laboratory information system. The third, a more recent study, evaluated an automated telephone health behavior advisory system. The PROMIS study compared different groups using PROMIS and compared PROMIS users with those using a manual patient record. The laboratory information system and telephone advisory system studies explored differences among ostensibly the same users of the same technology, only to find that these users divided into groups that differed in their responses to the technologies. Such studies could point to considerations other than technology per se that are important in how individuals react to and use technologies. All three studies are examples of how multimethod research can produce significant results.

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