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Communication Effectiveness in Cancer Treatment

A Health Services Research Study to Evaluate Communication Effectiveness in Oncology Treatment

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02197091
Enrollment
100
Registered
2014-07-22
Start date
2014-07-31
Completion date
2016-03-31
Last updated
2018-07-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Malignant Neoplasm

Brief summary

This pilot research trial studies communication effectiveness in cancer treatment. Studying how well patients and their doctors communicate about the treatment being given for cancer may help improve the decisions that patients and physicians make together.

Detailed description

PRIMARY OBJECTIVES: I. To assess the feasibility of measuring discrepancies between patient and physician perceptions about the intent of therapy. SECONDARY OBJECTIVES: I. To explore possible correlation between various patient satisfaction indicators and discrepant patient perceptions about their care. II. To gather exploratory data on patient characteristics that might correlate with discrepant patient perceptions about their care. OUTLINE: Patients complete questionnaires, including the Functional Assessment of Cancer Therapy-Treatment Satisfaction (FACIT-TS-G), the Functional Assessment of Cancer Therapy-Spiritual Well Being (FACIT-Sp12), the Medical Outcomes Study Social Support Survey (MOS-SSS), and the Distress Thermometer (DT). Doctors also complete a questionnaire. Patients' medical records may be reviewed, if necessary. After completion of study, patients are followed up for 5 years.

Interventions

OTHERquestionnaire administration

Ancillary studies

OTHERmedical chart review

Ancillary studies

Sponsors

National Cancer Institute (NCI)
CollaboratorNIH
Wake Forest University Health Sciences
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients with a diagnosis of cancer * Patients must have been in active therapy for cancer for at least one month or have a scheduled surgical treatment of their cancer * Ability to understand and the willingness to sign an institutional review board (IRB)-approved informed consent document

Design outcomes

Primary

MeasureTime frameDescription
Patient perceptions about the nature of their therapy and diagnosisBaselineThe precision of agreement between patient's and doctor's responses about the intent of therapy will be assessed. The level of agreement between the questions as answered by the patient on the Prognosis Instrument and by the doctor on the Doctor Questionnaire will be assessed. Agreement will be measured as either yes (meaning the doctor and patient responses match exactly) or no (any other combination, if both doctor and patient responded). The primary measure of agreement will be the Kappa statistic; the Kappa and its corresponding 95% confidence interval (CI) will be reported.
Feasibility, as assessed by accrual rateUp to 5 yearsAccrual will be estimated as the number of patients accrued divided by the months of accrual. A 95% confidence interval for the monthly accrual will be calculated based on the Poisson distribution.
Feasibility, as assessed by participation rateUp to 5 yearsThe participation rate will be estimated as the number of patients who are participants divided by the number eligible. This estimate will be calculated separately by cancer type to see what cancer types are more or less likely to participate. An exact 95% CI will be calculated for this estimate of each cancer type.

Secondary

MeasureTime frameDescription
Incidence of discrepancies between patient perceptions and the clinical recordBaselineThe FACIT-TS-G, FACIT-Sp12, MOS-SSS, and DT instruments will be used to see if there might be a relationship between the observed scores and discrepancies in the answers provided by patients and the clinical record. Patient characteristics will be assessed for differences between the two records. Means, standard deviations, and medians will be calculated for each of the scores, stratified by discrepancy type for those who do not match and those who match perfectly. These data will be analyzed by analysis of variance.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026