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      Patient-reported outcome use in oncology: a systematic review of the impact on patient-clinician communication

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      Supportive Care in Cancer
      Springer Nature

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          The use of patient reported outcome measures in routine clinical practice: lack of impact or lack of theory?

          This paper applies a theory-driven approach to explore why the use of patient-reported outcome (PRO) measures in clinical practice, in particular, health-related quality of life (HRQoL) instruments, has little or no apparent influence on clinical decision making. A theory-driven approach involves combining knowledge of whether and how an intervention works. It is argued that such an approach is currently lacking within the literature evaluating the effectiveness of feeding back HRQoL information to clinicians. The paper identifies a number of mechanisms that might give rise to the expected outcomes that are currently implicit within the design of the intervention and hypotheses specified within the trials evaluating the use of HRQoL measures in clinical practice. It then examines how far current clinical practice matches these mechanisms and in doing so, a number of possible explanations for the lack of impact of HRQoL on clinical decision making are reviewed. The influence of HRQoL information on clinical decision making depends on a large number of factors related to the design of the intervention, patients' and clinicians' desire to discuss HRQoL issues within the consultation and the legitimacy that clinicians give to HRQoL instruments. To date, knowledge of how the feedback of HRQoL information to clinicians might improve doctor-patient communication or clinical decision making has yet to sufficiently inform an assessment of whether these aspects of patient care are improved. The paper concludes by specifying how the feedback of HRQoL information to clinicians might be modified to maximise its impact on clinical decision making.
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            Chapter 9: analyzing data and undertaking meta-analyses.

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              Electronic patient-reported outcome systems in oncology clinical practice.

              Patient-reported outcome (PRO) questionnaires assess topics a patient can report about his or her own health. This includes symptoms (eg, nausea, fatigue, diarrhea, pain, or frequent urination), physical functioning (eg, difficulty climbing stairs or difficulty fastening buttons), and mental health (eg, anxiety, fear, or worry). Electronic PRO (ePRO) systems are used in oncology clinical care because of 1) their ability to enhance clinical care by flagging important symptoms and saving clinicians time; 2) the availability of standardized methods for creating and implementing PROs in clinics; and 3) the existence of user-friendly platforms for patient self-reporting like tablet computers and automated telephone surveys. Many ePRO systems can provide actionable links to clinical care such as summary reports in a patient's electronic medical record and real-time e-mail alerts to providers when patients report acute needs. This review presents 5 examples of ePRO systems currently in use in oncology practice. These systems support multiple clinical activities, including assessment of symptoms and toxicities related to chemotherapy and radiation, postoperative surveillance, and symptom management during palliative care and hospice. Patient self-reporting is possible both at clinical visits and between visits over the Internet or by telephone. The implementation of an ePRO system requires significant resources and expertise, as well as user training. ePRO systems enable regular monitoring of patient symptoms, function, and needs, and can enhance the efficiency and quality of care as well as communication with patients. Copyright © 2012 American Cancer Society, Inc.
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                Author and article information

                Journal
                Supportive Care in Cancer
                Support Care Cancer
                Springer Nature
                0941-4355
                1433-7339
                January 2018
                August 28 2017
                : 26
                : 1
                : 41-60
                Article
                10.1007/s00520-017-3865-7
                bfe76817-2f08-437f-8d64-df320b83c4bd
                © 2017

                http://www.springer.com/tdm


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