Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Differential Symptom Reporting by Mode of Administration of the Assessment

Automated Voice Response System Versus a Live Telephone Interview

Bibliographic Data

ID9103752
AuthorsAlla Sikorskii (0000-0002-4121-1627, Michigan State University, corresponding author), Charles W Given (0000-0001-7478-2621, Michigan State University), Barbara Given (0000-0002-3971-214X, Michigan State University), Sangchoon Jeon (0000-0003-2855-2053, Yale University), Mei You (Michigan State University)
Year2009
Volume47
Issue8
Pages866-874
Publication date2009-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e3181a31d00
PMID19584761
PMCIDPMC2722377
OpenAlexW2017554374
LanguageEN
References cited41

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. RESEARCH DESIGN: 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. SUBJECTS: Two hundred patients in nurse arm, and 186 patients in the AVR arm completed the first intervention contact. MEASURES: 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. CONCLUSION: Mode effect needs to be considered in designing trials for symptom management and in symptom monitoring in clinical practice

Clinical trial · Constipation · Intervention (counseling) · Nausea · Physical therapy · Psychological intervention · Randomized controlled trial · Telephone interview · Vomiting · Cancer survivorship and care · Internal Medicine · Medicine · Nausea and vomiting management · Nursing · Patient-Provider Communication in Healthcare

  • Generalized Linear Models

    Open Access•Peter McCullagh, J A Nelder•Generalized Linear Models•1989

  • Relationship of Functional Health Literacy to Patients' Knowledge of Their Chronic Disease

    Malcolm V Williams, Mark V Williams et al.•A.M.A. Archives of Internal…•1998

  • Quick and Easy Implementation of the Benjamini-Hochberg Procedure for Controlling the False Positive Rate in Multiple Comparisons

    Open Access•David Thissen, Lynne Steinberg et al.•Journal of Educational and…•2002

  • Population Marginal Means in the Linear Model

    S R Searle, F M Speed et al.•The American Statistician•1980

  • The control of the false discovery rate in multiple testing under dependency

    Yoav Benjamini, Daniel Yekutieli•The Annals of Statistics•2001

  • The European Organization for Research and Treatment of Cancer QLQ-C30

    N K Aaronson, Sam H Ahmedzai et al.•CancerSpectrum Knowledge…•1993

  • Mode effects in the center for epidemiologic studies depression (CES-D) scale

    Open Access•Richard J Swartz, Carl de Moor et al.•Quality of Life Research•2007

  • Factor analysis, causal indicators and quality of life

    Open Access•Peter Fayers, P M Fayers et al.•Quality of Life Research•1997

  • Cancer Symptom Control

    Diana J Wilkie, Hui‐Pi Huang et al.•Family & Community Health•2001

  • The Effect of Automated Calls With Telephone Nurse Follow-Up on Patient-Centered Outcomes of Diabetes Care

    John D Piette, Morris Weinberger et al.•Medical Care•2000

  • The Interview Mode Effect on the Center for Epidemiological Studies Depression (CES-D) Scale

    Kun-Sun Chan, Kitty S Chan et al.•Medical Care•2004

  • Differential Item Functioning Analysis With Ordinal Logistic Regression Techniques

    Paul K Crane, Laura E Gibbons et al.•Medical Care•2006

Citation velocityhistorical
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae