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Community Interventions in Non-medical Settings to Increase Informed Decision Making for Prostate Cancer Screening

Community Interventions in Non-medical Settings to Increase Informed Decision Making for Prostate Cancer Screening - Harvard - SIP 21-04

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT00207636
Enrollment
812
Registered
2005-09-21
Start date
2004-12-31
Completion date
2009-08-31
Last updated
2025-01-14

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

Conditions

Prostate Cancer

Keywords

Computer-Assisted Decision Making, Workplace, Screening

Brief summary

The purpose of this study is to develop and evaluate a computer-based decision aid (DA) for use by men considering prostate-specific antigen (PSA) screening for prostate cancer. Major medical organizations recommend that men discuss the risks and benefits of this test with their physician before making the decision. This educational, interactive DA will help them prepare for that discussion.

Detailed description

Prostate cancer (CaP) is a formidable public health problem in the US and in industrialized countries worldwide. Methods for primary prevention of CaP are unknown. As a result, early detection has become a mainstay of cancer control efforts. However, there is considerable controversy regarding the efficacy of screening in reducing disease-specific mortality. In light of this uncertainty, major medical organizations, including the National Cancer Institute, currently recommend that men discuss the pros and cons of CaP screening and make individualized screening decisions with their health care providers. However, because of constraints on time during medical encounters, it is not always feasible for providers to engage in in-depth discussions regarding the complexities of this issue. Therefore, interventions to promote informed decision-making (IDM) outside of clinical settings are needed. In this study, we propose to: (1) develop an interactive computer-based decision aid (DA) to promote IDM for CaP screening; and (2) conduct a randomized controlled worksite trial to evaluate the impact the DA intervention on employed men's ability to make informed decisions regarding CaP. This work is designed to be responsive to recent calls for IDM interventions in community settings among diverse populations. If successful, our findings could validate the effectiveness of DAs to promote IDM for CaP and serve as a model for widespread dissemination, thus improving quality of care.

Interventions

BEHAVIORALComputer Assisted Decision making tool

The intervention consisted of access to a computer tailored decision aid designed to promote informed decision making.

Sponsors

Dana-Farber Cancer Institute
CollaboratorOTHER
Centers for Disease Control and Prevention
Lead SponsorFED

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
MALE
Age
45 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

* Worksites employing at least 100 men in target age group (45-65 years old)

Exclusion criteria

* Worksites with high turnover * Non-English speaking workers * Temporary or contract workers

Design outcomes

Primary

MeasureTime frameDescription
Percentage of Patients Who Were Ready to Make a Decision or Were UndecidedAssessed at baseline and follow-up, up to 10 monthsReadiness to make a decision based on Stage of Decision-Making Scale (O'Connor A et al, 2008) with five responses ranging from I haven't thought about it before to I have made a decision, and I am not likely to change my mind. Men were classified as having decided if they stated either that they had made a decision, but were willing to reconsider, or if they responded that they had made a decision but were unlikely to change their mind. Those undecided reported that they had not thought about the decision, or were uncertain.
Percentage of Correct Responses in Assessing Mens' Recognition of the Prostate-specific Antigen Test and Knowledge Related to Prostate-cancer Topics.Assessed at baseline and follow-up, up to 10 monthsRecognition of test based upon a standard single item and 14 validated questions assessed knowledge of prostate cancer prevalence, risk factors, screening modalities, diagnostic procedures, and treatment-related complications.
Mean and Standard Error of a Scale Used to Assess Men's Confidence Level in Making Decisions Related to Prostate Cancer Screening.Assessed at baseline and follow-up, up to 10 monthsThe confidence in ability to participate in decision making to the extent desired using the 11-item Decision Self-Efficacy Scale was assessed. Respondents were asked to reflect on their confidence level about various aspects of the decision-making process, with response options of very confident (score = 4) to not at all confident (score = 0). Scores were summed, divided by 11, and multiplied by 25, to arrive at a range of scores from 0 (no self-efficacy) to 100 (higher self-efficacy).
Percentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionAssessed at baseline and follow-up, up to 10 monthsItems were developed to assess the personal importance or relative worth of the advantages and limitations of screening based on focus group themes and published literature. Some to the themes include: importance of information, accuracy of test, potential side effects of treatment.

Secondary

MeasureTime frameDescription
Percentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesAssessed at baseline and follow-up, up to 10 monthsAssessed through the Control Preferences Scale (Degner LF et al, 1997). Individuals were assessed who should make medical decisions. The active decision-making category included responses where men made the final decision on their own or after considering their doctor's opinions. The collaborative decision-making category included responses where men and their doctors shared the responsibility for the decision. The passive decision-making category included responses where the doctors made the final decision after considering a man's input or that the doctor made the final decision.
Mean and Standard Error of a Scale to Measure Decisional ConflictAssessed at baseline and follow-up, up to 10 monthsMeasured through the Decisional Conflict Scale (O'Connor AM et al, 2003) by rating statements related to decision making and responding on a five-point scale ranging from strongly agree' to strongly disagree. Scales were standardized from 0 (no conflict) to 100 (extreme conflict).

Countries

United States

Participant flow

Participants by arm

ArmCount
Control Group
Distribution of printed material
414
Intervention Group
The intervention is access to a computer-assisted decision-making tool designed to promote informed decision-making.
398
Total812

Baseline characteristics

CharacteristicControl GroupIntervention GroupTotal
Age, Customized
45 to 49 years old
120 Participants151 Participants271 Participants
Age, Customized
50 to 54 years old
126 Participants106 Participants232 Participants
Age, Customized
55 years old or older
153 Participants93 Participants246 Participants
Age, Customized
Missing age
15 Participants48 Participants63 Participants
Sex/Gender, Customized
Males
414 Participants398 Participants812 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 00 / 0
other
Total, other adverse events
0 / 00 / 0
serious
Total, serious adverse events
0 / 00 / 0

Outcome results

Primary

Mean and Standard Error of a Scale Used to Assess Men's Confidence Level in Making Decisions Related to Prostate Cancer Screening.

The confidence in ability to participate in decision making to the extent desired using the 11-item Decision Self-Efficacy Scale was assessed. Respondents were asked to reflect on their confidence level about various aspects of the decision-making process, with response options of very confident (score = 4) to not at all confident (score = 0). Scores were summed, divided by 11, and multiplied by 25, to arrive at a range of scores from 0 (no self-efficacy) to 100 (higher self-efficacy).

Time frame: Assessed at baseline and follow-up, up to 10 months

ArmMeasureGroupValue (MEAN)Dispersion
ControlMean and Standard Error of a Scale Used to Assess Men's Confidence Level in Making Decisions Related to Prostate Cancer Screening.Baseline79 score on a scaleStandard Error 1.59
ControlMean and Standard Error of a Scale Used to Assess Men's Confidence Level in Making Decisions Related to Prostate Cancer Screening.Follow-up79 score on a scaleStandard Error 1.81
ExperimentalMean and Standard Error of a Scale Used to Assess Men's Confidence Level in Making Decisions Related to Prostate Cancer Screening.Baseline83 score on a scaleStandard Error 2.46
ExperimentalMean and Standard Error of a Scale Used to Assess Men's Confidence Level in Making Decisions Related to Prostate Cancer Screening.Follow-up83 score on a scaleStandard Error 2.36
Primary

Percentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening Decision

Items were developed to assess the personal importance or relative worth of the advantages and limitations of screening based on focus group themes and published literature. Some to the themes include: importance of information, accuracy of test, potential side effects of treatment.

Time frame: Assessed at baseline and follow-up, up to 10 months

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
ControlPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionConsistent: Baseline244 Participants
ControlPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionConsistent: Follow-up247 Participants
ControlPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionInconsistent : Baseline87 Participants
ControlPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionInconsistent : Follow-up80 Participants
ControlPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionMissing: Baseline3 Participants
ControlPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionMissing: Follow-up7 Participants
ExperimentalPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionMissing: Baseline3 Participants
ExperimentalPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionConsistent: Baseline207 Participants
ExperimentalPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionInconsistent : Follow-up90 Participants
ExperimentalPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionConsistent: Follow-up201 Participants
ExperimentalPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionMissing: Follow-up1 Participants
ExperimentalPercentage of Consistency Between Screening Preference and Personal Values Relevant to the Screening DecisionInconsistent : Baseline81 Participants
Primary

Percentage of Correct Responses in Assessing Mens' Recognition of the Prostate-specific Antigen Test and Knowledge Related to Prostate-cancer Topics.

Recognition of test based upon a standard single item and 14 validated questions assessed knowledge of prostate cancer prevalence, risk factors, screening modalities, diagnostic procedures, and treatment-related complications.

Time frame: Assessed at baseline and follow-up, up to 10 months

ArmMeasureGroupValue (MEAN)Dispersion
ControlPercentage of Correct Responses in Assessing Mens' Recognition of the Prostate-specific Antigen Test and Knowledge Related to Prostate-cancer Topics.Baseline56 percentage of correct responsesStandard Error 1.23
ControlPercentage of Correct Responses in Assessing Mens' Recognition of the Prostate-specific Antigen Test and Knowledge Related to Prostate-cancer Topics.Follow-up60 percentage of correct responsesStandard Error 1.6
ExperimentalPercentage of Correct Responses in Assessing Mens' Recognition of the Prostate-specific Antigen Test and Knowledge Related to Prostate-cancer Topics.Baseline56 percentage of correct responsesStandard Error 2.68
ExperimentalPercentage of Correct Responses in Assessing Mens' Recognition of the Prostate-specific Antigen Test and Knowledge Related to Prostate-cancer Topics.Follow-up66 percentage of correct responsesStandard Error 2.08
Primary

Percentage of Patients Who Were Ready to Make a Decision or Were Undecided

Readiness to make a decision based on Stage of Decision-Making Scale (O'Connor A et al, 2008) with five responses ranging from I haven't thought about it before to I have made a decision, and I am not likely to change my mind. Men were classified as having decided if they stated either that they had made a decision, but were willing to reconsider, or if they responded that they had made a decision but were unlikely to change their mind. Those undecided reported that they had not thought about the decision, or were uncertain.

Time frame: Assessed at baseline and follow-up, up to 10 months

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
ControlPercentage of Patients Who Were Ready to Make a Decision or Were UndecidedDecided : Baseline134 Participants
ControlPercentage of Patients Who Were Ready to Make a Decision or Were UndecidedDecided : Follow-up144 Participants
ControlPercentage of Patients Who Were Ready to Make a Decision or Were UndecidedUndecided : Baseline200 Participants
ControlPercentage of Patients Who Were Ready to Make a Decision or Were UndecidedUndecided : Follow-up190 Participants
ExperimentalPercentage of Patients Who Were Ready to Make a Decision or Were UndecidedUndecided : Follow-up166 Participants
ExperimentalPercentage of Patients Who Were Ready to Make a Decision or Were UndecidedDecided : Baseline90 Participants
ExperimentalPercentage of Patients Who Were Ready to Make a Decision or Were UndecidedUndecided : Baseline201 Participants
ExperimentalPercentage of Patients Who Were Ready to Make a Decision or Were UndecidedDecided : Follow-up125 Participants
Secondary

Mean and Standard Error of a Scale to Measure Decisional Conflict

Measured through the Decisional Conflict Scale (O'Connor AM et al, 2003) by rating statements related to decision making and responding on a five-point scale ranging from strongly agree' to strongly disagree. Scales were standardized from 0 (no conflict) to 100 (extreme conflict).

Time frame: Assessed at baseline and follow-up, up to 10 months

ArmMeasureGroupValue (MEAN)Dispersion
ControlMean and Standard Error of a Scale to Measure Decisional ConflictBaseline28 score on a scaleStandard Error 2.12
ControlMean and Standard Error of a Scale to Measure Decisional ConflictFollow-up20 score on a scaleStandard Error 2.07
ExperimentalMean and Standard Error of a Scale to Measure Decisional ConflictBaseline25 score on a scaleStandard Error 2.08
ExperimentalMean and Standard Error of a Scale to Measure Decisional ConflictFollow-up14 score on a scaleStandard Error 2.01
Secondary

Percentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making Styles

Assessed through the Control Preferences Scale (Degner LF et al, 1997). Individuals were assessed who should make medical decisions. The active decision-making category included responses where men made the final decision on their own or after considering their doctor's opinions. The collaborative decision-making category included responses where men and their doctors shared the responsibility for the decision. The passive decision-making category included responses where the doctors made the final decision after considering a man's input or that the doctor made the final decision.

Time frame: Assessed at baseline and follow-up, up to 10 months

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
ControlPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesBaseline: active/collaborative305 Participants
ControlPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesFollow-up: active/collaborative308 Participants
ControlPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesBaseline: passive28 Participants
ControlPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesFollow-up: passive23 Participants
ControlPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesBaseline: missing1 Participants
ControlPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesFollow-up: missing3 Participants
ExperimentalPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesBaseline: missing2 Participants
ExperimentalPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesBaseline: active/collaborative274 Participants
ExperimentalPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesFollow-up: passive13 Participants
ExperimentalPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesFollow-up: active/collaborative277 Participants
ExperimentalPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesFollow-up: missing1 Participants
ExperimentalPercentage of Men Who Have Active Decision-making, Collaborative Decision-making, or Passive Decision-making StylesBaseline: passive15 Participants

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