title: Differential symptom reporting by mode of administration of the assessment: automated voice response system versus a live telephone interview.
abstract: BACKGROUND
  Automated voice response (AVR) systems have been used to collect patient-reported outcome data. Mode of administration of the assessment may affect patient reporting.
  
  
  OBJECTIVE
  To evaluate if there is a differential reporting of symptoms by the mode of assessment: AVR versus a live telephone interview among cancer patients with solid tumors undergoing chemotherapy.
  
  
  METHODS
  Randomized clinical trial comparing a nurse-assisted symptom management with an automated telephone symptom management. After completing intake telephone interview administered by a person, patients were randomized to either nurse arm or AVR arm to receive a 6-contact 8-week symptom management intervention. Patients in the nurse arm were called by specially trained nurses, and patients in the AVR arm were contacted via automated system to assess their symptoms and deliver symptom management strategies.
  
  
  METHODS
  Two hundred patients in nurse arm, and 186 patients in the AVR arm completed the first intervention contact.
  
  
  METHODS
  Severities of 14 cancer-related symptoms were rated by patients at intake interview and at first intervention contact before the receipt of any interventions.
  
  
  RESULTS
  When compared with patients contacted by a nurse, patients contacted by the AVR reported higher severity of nausea and vomiting, diarrhea, poor appetite, constipation, diarrhea, pain, and alopecia controlling for prior intake symptom assessment that was free of mode effect. Symptom reporting varied by age, with the oldest group of patients reporting higher severity to the nurse.
  
  
  CONCLUSIONS
  Mode effect needs to be considered in designing trials for symptom management and in symptom monitoring in clinical practice.
authors: Department of Statistics and Probability, College of Natural Science, Michigan State University, East Lansing, Michigan 48824, USA.
authors: Alla
authors: A
authors: Sikorskii
authors: Charles W
authors: CW
authors: Given
authors: Barbara
authors: B
authors: Given
authors: Sangchoon
authors: S
authors: Jeon
authors: Mei
authors: M
authors: You
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001331:Automation; D005260:Female; D006801:Humans; D007407:Interviews as Topic / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000503:physiopathology*; D009726:Nurses; D012720:Severity of Illness Index; D012737:Sex Factors; D012959:Socioeconomic Factors; D013689:Telephone