2003
DOI: 10.1197/jamia.m1365
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Effects of a Computerized System to Support Shared Decision Making in Symptom Management of Cancer Patients: Preliminary Results

Abstract: This study provided beginning evidence that eliciting patients' symptoms and preferences and providing clinicians with this information prior to consultation can be an effective and feasible strategy to improve patient-centered care.

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Cited by 87 publications
(116 citation statements)
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“…Clinical support systems that include patient-specific information and help have produced positive patient outcomes (Ruland, White, Stevens, Fanciullo, & Khilani, 2003). Thus integrating and building on patients' health assets appears to be of significance.…”
Section: Implications For Theory and Clinical Practicementioning
confidence: 99%
“…Clinical support systems that include patient-specific information and help have produced positive patient outcomes (Ruland, White, Stevens, Fanciullo, & Khilani, 2003). Thus integrating and building on patients' health assets appears to be of significance.…”
Section: Implications For Theory and Clinical Practicementioning
confidence: 99%
“…Results can be used to assist care providers to better tailor symptom management and care individually to each patient and to support person-centered communication. Development of the Choice application for cancer patients [11,12], and a demonstration of its validity and reliability are presented in detail elsewhere [13].…”
Section: The Choice Applicationmentioning
confidence: 99%
“…tablet computers, smart phones, voice response systems, and secure Internet connections) also affords a level of privacy for sensitive topics as well as ensuring that patient concerns come to the attention of the health care provider and are not forgotten once the clinical encounter begins, thereby facilitating patient-physician communication. 40 Patients prefer electronic capture of PROs to paper and find the method easy and acceptable, 33,41 a conclusion confirmed by meta-analysis. 42 While the incorporation of PROs into a rapid learning system is gaining acceptance in the oncology community, widespread adoption in other subspecialties has not been as aggressive.…”
Section: Rapid Learning Health Carementioning
confidence: 93%