Predictors of radiation therapy noncompliance in an urban academic cancer center

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23 Citations (Scopus)

Abstract

Purpose: To quantify the frequency of patient noncompliance in an urban radiation oncology department and identify predictors of noncompliance. Methods and Materials: We identified patients treated with external beam radiation therapy (RT) with curative intent in our department from 2007 to 2012 for 1 of 7 commonly treated malignancies. Patients who missed 2 or more scheduled RT appointments were deemed "noncompliant." An institutional database was referenced to obtain clinical and demographic information for each patient, as well as a quantitative estimate of each patient's socioeconomic status. Logistic regression was used to identify factors associated with RT noncompliance. Results: A total of 2184 patients met eligibility criteria. Of these, 442 (20.2%) were deemed "noncompliant." On multivariate analysis, statistically significant predictors of noncompliance included diagnosis of head-and-neck, cervical, or uterine cancer, treatment during winter months, low socioeconomic status, and use of a long treatment course (all P<.05). Conclusion: This is the first large effort examining patient noncompliance with daily RT. We have identified demographic, clinical, and treatment-related factors that can be used to identify patients at high risk for noncompliance. These findings may inform future strategies to improve adherence to prescribed therapy.

Original languageEnglish (US)
Pages (from-to)232-238
Number of pages7
JournalInternational Journal of Radiation Oncology Biology Physics
Volume91
Issue number1
DOIs
StatePublished - Jan 1 2015

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radiation therapy
Radiotherapy
cancer
predictions
Neoplasms
Patient Compliance
Social Class
Demography
Radiation Oncology
Therapeutics
Head and Neck Neoplasms
Appointments and Schedules
logistics
Multivariate Analysis
Logistic Models
Databases
winter
regression analysis
therapy
radiation

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Radiation
  • Cancer Research
  • Medicine(all)

Cite this

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title = "Predictors of radiation therapy noncompliance in an urban academic cancer center",
abstract = "Purpose: To quantify the frequency of patient noncompliance in an urban radiation oncology department and identify predictors of noncompliance. Methods and Materials: We identified patients treated with external beam radiation therapy (RT) with curative intent in our department from 2007 to 2012 for 1 of 7 commonly treated malignancies. Patients who missed 2 or more scheduled RT appointments were deemed {"}noncompliant.{"} An institutional database was referenced to obtain clinical and demographic information for each patient, as well as a quantitative estimate of each patient's socioeconomic status. Logistic regression was used to identify factors associated with RT noncompliance. Results: A total of 2184 patients met eligibility criteria. Of these, 442 (20.2{\%}) were deemed {"}noncompliant.{"} On multivariate analysis, statistically significant predictors of noncompliance included diagnosis of head-and-neck, cervical, or uterine cancer, treatment during winter months, low socioeconomic status, and use of a long treatment course (all P<.05). Conclusion: This is the first large effort examining patient noncompliance with daily RT. We have identified demographic, clinical, and treatment-related factors that can be used to identify patients at high risk for noncompliance. These findings may inform future strategies to improve adherence to prescribed therapy.",
author = "Nitin Ohri and Rapkin, {Bruce D.} and Debayan Guha and Hilda Haynes-Lewis and Chandan Guha and Shalom Kalnicki and Garg, {Madhur K.}",
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AU - Rapkin, Bruce D.

AU - Guha, Debayan

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AU - Guha, Chandan

AU - Kalnicki, Shalom

AU - Garg, Madhur K.

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N2 - Purpose: To quantify the frequency of patient noncompliance in an urban radiation oncology department and identify predictors of noncompliance. Methods and Materials: We identified patients treated with external beam radiation therapy (RT) with curative intent in our department from 2007 to 2012 for 1 of 7 commonly treated malignancies. Patients who missed 2 or more scheduled RT appointments were deemed "noncompliant." An institutional database was referenced to obtain clinical and demographic information for each patient, as well as a quantitative estimate of each patient's socioeconomic status. Logistic regression was used to identify factors associated with RT noncompliance. Results: A total of 2184 patients met eligibility criteria. Of these, 442 (20.2%) were deemed "noncompliant." On multivariate analysis, statistically significant predictors of noncompliance included diagnosis of head-and-neck, cervical, or uterine cancer, treatment during winter months, low socioeconomic status, and use of a long treatment course (all P<.05). Conclusion: This is the first large effort examining patient noncompliance with daily RT. We have identified demographic, clinical, and treatment-related factors that can be used to identify patients at high risk for noncompliance. These findings may inform future strategies to improve adherence to prescribed therapy.

AB - Purpose: To quantify the frequency of patient noncompliance in an urban radiation oncology department and identify predictors of noncompliance. Methods and Materials: We identified patients treated with external beam radiation therapy (RT) with curative intent in our department from 2007 to 2012 for 1 of 7 commonly treated malignancies. Patients who missed 2 or more scheduled RT appointments were deemed "noncompliant." An institutional database was referenced to obtain clinical and demographic information for each patient, as well as a quantitative estimate of each patient's socioeconomic status. Logistic regression was used to identify factors associated with RT noncompliance. Results: A total of 2184 patients met eligibility criteria. Of these, 442 (20.2%) were deemed "noncompliant." On multivariate analysis, statistically significant predictors of noncompliance included diagnosis of head-and-neck, cervical, or uterine cancer, treatment during winter months, low socioeconomic status, and use of a long treatment course (all P<.05). Conclusion: This is the first large effort examining patient noncompliance with daily RT. We have identified demographic, clinical, and treatment-related factors that can be used to identify patients at high risk for noncompliance. These findings may inform future strategies to improve adherence to prescribed therapy.

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