SEARCH

SEARCH BY CITATION

References

  • 1
    US Food and Drug Administration. Patient Reported Outcome (PRO) Measures: Use in Medical Product Development to Support Labeling Claims. Fed Regist. 2009; 74( 235).
  • 2
    DeVellis RF. Guidelines in Scale Development. In: Scale Development: Theory and Applications.Applied Research Methods Series. Vol 26. 2nd ed. Thousand Oaks, CA: Sage Publications; 2003: 60-101.
  • 3
    Dillman DA. Mail and Internet Surveys: The Tailored Design Method. New York, NY: John Wiley & Sons; 2000.
  • 4
    Willis G, Reeve B, Barofsky I. The use of cognitive interviewing techniques in quality-of-life and patient-reported outcomes assessment. In: Lipscomb J, Gotay C, Synder C, eds. Outcomes Assessment in Cancer: Measures, Methods and Applications. Cambridge, UK: Cambridge University Press; 2004: 610-622.
  • 5
    Patrick DL, Burke LB, Gwaltney CJ, et al. Content validity--establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: part 1-eliciting concepts for a new PRO instrument. Value Health. 2011; 14: 967-977.
  • 6
    Patrick DL, Burke LB, Gwaltney CJ, et al. Content validity--establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: part 2-assessing respondent understanding. Value Health. 2011; 14: 978-988.
  • 7
    Coons SJ, Gwaltney CJ, Hays RD, et al; ISPOR ePRO Task Force. Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO Good Research Practices Task Force report. Value Health. 2009; 12: 419-429.
  • 8
    Stull DE, Leidy NK, Parasuraman B, Chassany O. Optimal recall periods for patient-reported outcomes: challenges and potential solutions. Curr Med Res Opin. 2009; 25: 929-942.
  • 9
    Gwaltney CJ, Shields AL, Shiffman S. Equivalence of electronic and paper-and-pencil administration of patient-reported outcome measures: a meta-analytic review. Value Health. 2008; 11: 322-333.
  • 10
    Bennett AV, Amtmann D, Diehr P, Patrick DL. Comparison of 7-day recall and daily diary reports of COPD symptoms and impacts. Value Health. 2012; 15: 466-474.
  • 11
    Bennett AV, Patrick DL, Bushnell DM, Chiou CF, Diehr P. Comparison of 7-day and repeated 24-h recall of type 2 diabetes. Qual Life Res. 2011; 20: 769-777.
  • 12
    International Society for Quality of Life Research. User's Guide to Implementing Patient Reported Outcomes Assessment in Clinical Practice, prepared by Aaronson N, Choucair A, Elliott T, et al. Version from November 11, 2011. isoqol.org/User's%20Guide-v6-final%20for%20posting-110707.pdf.
  • 13
    Gandek B, Rose M, Stone A, Ware JE Jr. Evaluating the impact of method of administration on item response: results from the PROMIS initiative. Qual Life Res. 2012; 20( suppl): 47.
  • 14
    Detmar SB, Muller MJ, Schornagel JH, Wever LD, Aaronson NK. Health-related quality-of-life assessments and patient-physician communication: a randomized controlled trial. JAMA. 2002; 288: 3027-3034.
  • 15
    McCann L, Maguire R, Miller M, Kearney N. Patients' perceptions and experiences of using a mobile phone-based advanced symptom management system (ASyMS) to monitor and manage chemotherapy related toxicity. Eur J Cancer Care (Engl). 2009; 18: 156-164.
  • 16
    Velikova G, Booth L, Smith AB, et al. Measuring quality of life in routine oncology practice improves communication and patient well-being: a randomized controlled trial. J Clin Oncol. 2004; 22: 714-724.
  • 17
    Dy SM, Roy J, Ott GE, et al. Tell Us™: a Web-based tool for improving communication among patients, families, and providers in hospice and palliative care through systematic data specification, collection, and use. J Pain Symptom Manage. 2011; 42: 526-534.
  • 18
    Gibson F, Aldiss S, Taylor RM, Maguire R, Kearney N. Involving health professionals in the development of an advanced symptom management system for young people: the ASyMS-YG study. Eur J Oncol Nurs. 2009; 13: 187-192.
  • 19
    Maguire R, McCann L, Miller M, Kearney N. Nurse's perceptions and experiences of using of a mobile-phone-based Advanced Symptom Management System (ASyMS) to monitor and manage chemotherapy-related toxicity. Eur J Oncol Nurs. 2008; 12: 380-386.
  • 20
    McCall K, Keen J, Farrer K, et al. Perceptions of the use of a remote monitoring system in patients receiving palliative care at home. Int J Palliat Nurs. 2008; 14: 426-431.
  • 21
    Snyder CF, Jensen R, Courtin SO, Wu AW; Website for Outpatient QOL Assessment Research Network. PatientViewpoint: a website for patient-reported outcomes assessment. Qual Life Res. 2009; 18: 793-800.
  • 22
    Detmar SB, Muller MJ, Schornagel JH, Wever LD, Aaronson NK. Role of health-related quality of life in palliative chemotherapy treatment decisions. J Clin Oncol. 2002; 20: 1056-1062.
  • 23
    Abernethy AP, Herndon JE 2nd, Wheeler JL, et al. Feasibility and acceptability to patients of a longitudinal system for evaluating cancer-related symptoms and quality of life: pilot study of an e/Tablet data-collection system in academic oncology. J Pain Symptom Manage. 2009; 37: 1027-1038.
  • 24
    Abernethy AP, Zafar SY, Uronis H, et al. Validation of the Patient Care Monitor (Version 2.0): a review of system assessment instrument for cancer patients. J Pain Symptom Manage. 2010; 40: 545-558.
  • 25
    Basch E, Iasonos A, McDonough T, et al. Patient versus clinician symptom reporting using the National Cancer Institute Common Terminology Criteria for Adverse Events: results of a questionnaire-based study. Lancet Oncol. 2006; 7: 903-909.
  • 26
    Basch E, Jia X, Heller G, et al. Adverse symptom event reporting by patients vs clinicians: relationships with clinical outcomes. J Natl Cancer Inst. 2009; 101: 1624-1632.
  • 27
    Atkinson TM, Li Y, Coffey CW, et al. Reliability of adverse symptom event reporting by clinicians. Qual Life Res. 2011; doi:10.1007/s11136-011-0031-4.
  • 28
    Institute of Medicine. The Learning Healthcare System: Workshop Summary (IOM Roundtable on Evidence-based Medicine). Washington, DC: The National Academies Press; 2007.
  • 29
    Etheredge LM. A rapid-learning health system. Health Aff (Millwood). 2007; 26: w107-w118.
  • 30
    Abernethy AP, Wheeler JL, Zafar SY. Management of gastrointestinal symptoms in advanced cancer patients: the rapid learning cancer clinic model. Curr Opin Support Palliat Care. 2010; 4: 36-45.
  • 31
    Basch E, Artz D, Dulko D, et al. Patient online self-reporting of toxicity symptoms during chemotherapy. J Clin Oncol. 2005; 23: 3552-3561.
  • 32
    Basch E, Artz D, Iasonos A, et al. Evaluation of an online platform for cancer patient self-reporting of chemotherapy toxicities. J Am Med Inform Assoc. 2007; 14: 264-268.
  • 33
    Vickers AJ, Savage CJ, Shouery M, Eastham JA, Scardino PT, Basch EM. Validation study of a web-based assessment of functional recovery after radical prostatectomy. Health Qual Life Outcomes. 2010; 8: 82.
  • 34
    Vickers AJ. Prediction models in cancer care. CA Cancer J Clin. 2011; 61: 315-326.
  • 35
    Rose M, Bezjak A. Logistics of collecting patient-reported outcomes (PROs) in clinical practice: an overview and practical examples. Qual Life Res. 2009; 18: 125-136.
  • 36
    American Society for Clinical Oncology. The Quality Oncology Practice Initiative (QOPI). qopi.asco.org/program. Accessed March 10, 2012.
  • 37
    American Medical Association. The Performance Consortium for Performance Improvement (PCPI). ama-assn.org/ama/pub/physician-resources/physician-consortium-performance-improvement.page? Accessed March 12, 2012.