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Annals of Family Medicine logoLink to Annals of Family Medicine
. 2007 Mar;5(2):112–119. doi: 10.1370/afm.623

Patient Education on Prostate Cancer Screening and Involvement in Decision Making

Alex H Krist 1, Steven H Woolf 2, Robert E Johnson 3, J William Kerns 4
PMCID: PMC1838687  PMID: 17389534

Abstract

PURPOSE Many clinicians lack resources to engage patients in shared decision making for prostate cancer screening. We sought to evaluate whether previsit educational decision aids facilitate shared decision making.

METHODS This randomized controlled study compared a Web-based and a paper-based decision aid with no previsit education. Men aged 50 to 70 years undergoing a health maintenance examination at a large family practice were enrolled. The primary outcome was patient-reported level of control over the decision to be screened. Secondary outcomes included frequency of screening, patient knowledge, decisional conflict, and time spent discussing screening.

RESULTS A total of 497 men participated (75 control, 196 brochure, 226 Web site). Patients exposed to either aid were no more likely than control patients to report a collaborative decision: 36% of patients in each group reported equally sharing decision responsibility. Exposure to either decision aid increased patients’ involvement in decision making compared with the control condition (Web site, P = .03; brochure, P = .03). Only 46% of control patients reported an active decision-making role, compared with 56% of Web site and 54% of brochure patients. Patients exposed to a decision aid answered a greater percentage of knowledge questions correctly (54% control vs 69% Web site, P <.001, and vs 69% brochure, P <.001) and were less likely to be screened (94% control vs 86% Web site, P = .06, and vs 85% brochure, P = .04).

CONCLUSIONS Patients in the decision aid groups were more informed and more engaged in the screening decision than their control counterparts. Exposure did not promote shared decision-making control, however. Whether shared decision making is the ideal model and how to measure its occurrence are subjects for further research.

Keywords: Prostatic neoplasms, decision making, patient education/methods, guideline adherence/statistics & numerical data, prostate-specific antigen/blood, mass screening/methods, prevention/cancer, information management

INTRODUCTION

Prostate cancer screening presents patients with an uncertain balance of benefits and harms because of gaps in supporting evidence. Recent research findings have added to rather than clarified the controversy of whether to universally screen appropriate men.1,2 Since 1996, national screening recommendations have been consistent in recommending that clinicians not perform prostate cancer screening without first counseling patients about potential harms, benefits, and scientific uncertainties.35 One means to do this is through informed or shared decision making, an approach supported by the US Preventive Services Task Force (USPSTF).6 Shared decision making can help to incorporate the patient’s values into the screening decision.7

According to the USPSTF, a decision is shared when the patient (1) understands the risk of the disease to be prevented; (2) understands the preventive service, including risk, benefit, alternatives, and uncertainties; (3) weighs his values regarding the decision; and (4) is engaged in the decision at the desired level.6 Most clinicians are ill equipped to handle such a complicated decision-making process. Barriers include limited time and reimbursement for long discussions,8 medicolegal risks associated with deferred screening,9 patient expectations to be screened,10 and patient and physician biases and misconceptions about effectiveness.11

Decision aids are one potential strategy to promote shared decision making. Several paper-based and video aids have been developed for prostate cancer screening.1216 These aids increase patient knowledge about prostate cancer screening and, in some studies,13,14 decrease patient interest in prostate-specific antigen (PSA) testing. Whether the aids promote shared decision making is unclear, however.

An additional practical challenge with video- or paper-based decision aids is getting the material to the patient for review before the clinical encounter at which the screening decision will be made. The Internet could provide an easy, automated, and cost-effective means for clinicians to deliver this information in advance.17,18 Many national organizations (eg, American Academy of Family Physicians, American Cancer Society, Centers for Disease Control and Prevention) have created Internet-based educational aids on prostate cancer.1921 Only 1 aid has been formally studied, however, and it had relatively low use by participants and was less effective than a videotape aid.22

We hypothesized that review of a decision aid before a health maintenance examination would increase the rate with which patients and physicians shared control over decisions about prostate cancer screening. We also hypothesized that an online decision aid would be more effective than a mailed brochure because of its ease of distribution.

METHODS

We undertook a randomized controlled study comparing paper-based and Web-based decision aids vs no previsit education as a control. The methods detailed below have been described previously.23

Setting

The study was conducted at a single, large family practice center in suburban northern Virginia. The center hosts a community-based family practice residency program. The practice had 13 faculty, 8 second-year residents, and 8 third-year residents. A large proportion of patients were well-educated, Internet savvy, and affluent.24 Between June 2002 and June 2004, 2 weeks before their office visit, male patients aged 50 to 70 years who scheduled a health maintenance examination were contacted by telephone. Patients were excluded if they had a history of prostate cancer, lacked Internet access, planned on having blood work before their visit, were enrolled in another prostate cancer investigation, or had already been enrolled in this study.

Study Groups

Patients were invited to view a Web-based decision aid, a mailed paper version of the decision aid, or no previsit educational material. The Web-based decision aid (http://www.acorn.fap.vcu.edu/psa),25 developed by the authors, presented information about prostate cancer, screening concepts, potential screening benefits, and known risks, as well as current uncertainties. The Web site was reviewed by a general decision aid expert and several content experts who had previously developed prostate cancer screening decision aids. The print brochure duplicated the content of the Web site. Control patients received usual care, in which they were not offered any previsit educational material and were not given any decision aids during discussions with physicians.

We stratified patient allocation by physician to ensure that each physician’s patients were similarly distributed across the 3 study arms. Patients within strata were assigned randomly to receive no previsit education, the Web-based aid, or the brochure in a 1:3:3 ratio, respectively. At the time of enrollment, the allocation was concealed from the coordinator. After determining that the patient met inclusion criteria, reaching agreement on participation, and completing the consent process, the coordinator referred to pregenerated randomization tables to inform the participant to which arm he was randomized and to determine if it was necessary to send a decision aid. Although allocation was concealed, we made no attempts to blind physicians to the patient’s group. Patients randomized to the Web-based aid were sent by e-mail a link to the Web site and were instructed to view the material before their visit. Patients randomized to the brochure aid were mailed the information with similar instructions to review the material before their visit.

Outcomes

We collected outcome data in a previsit structured telephone interview during enrollment and in self-administered patient and physician exit questionnaires, both of which were completed immediately after the office visit in formats that enabled comparisons of patient and clinician responses to the same questions. The primary outcome was the patient-reported Control Preferences Scale (CPS) score, a measure previously used to evaluate patients’ role in decision-making processes.26,27 We used the version with a single question to measure the CPS score, which assessed the respondent’s perception of the locus of control over the prostate cancer screening decision.27 Response options ranged from A to E: A represented complete patient control without consideration of physician input, E represented complete physician control without consideration of patient input, and C represented a purely collaborative decision.

The patient questionnaire also assessed the patient’s desired level of decision-making control to contrast perceptions of preferred vs actual control. Other outcomes measured by the patient questionnaire included prostate cancer screening knowledge,28 time spent discussing screening, topics covered in the discussion, Decisional Conflict Scale (DCS) score (which measures patients’ level of conflict in making medical decisions),29 and whether a PSA test was ordered. The physician survey completed after each patient encounter assessed the same measures as the patient questionnaire except that knowledge and decisional conflict questions were not included.

Analysis

We used the CPS as a surrogate to measure shared decision making because no accepted measure existed when the study was designed.30 For the 3 study groups, we calculated the percentage of correct answers on the prostate cancer screening knowledge questions and the DCS score using previously published methodologies.29 We compared patient and physician responses for several measures (time spent discussing screening, whether a PSA test was ordered, and the number of screening topics addressed). Comparisons between groups were made on an intention-to-treat basis.

We performed statistical analyses using SAS version 9.1.3 (SAS Institute, Cary, NC).31 We used 2-sided tests with a significance level of .05 unless otherwise noted. We used a Wilcoxon rank sum test to evaluate for an increase in CPS choice C and a 1-sided Wilcoxon rank sum test to compare other CPS differences. (We elected to power for a 1-sided test when designing the study because a body of evidence shows that decision aids increase patient involvement.12,32,33) We used 2-sample t tests to assess changes in DCS score, knowledge, time spent discussing screening, and number of topics discussed, and a Fisher exact test to assess differences in PSA test use and to assess the concordance between locus of actual decision-making control and that preferred by the patient. We used a binomial test with a nominal probability of 0.50 to assess if patients were more likely to report greater patient or greater physician control, the McNemar test to compare patient and physician reports on whether a PSA test was ordered, and a paired t test to evaluate differences between patient and physician responses for time spent discussing screening and the number of topics discussed. This study was reviewed and approved by the Virginia Commonwealth University Institutional Review Board.

RESULTS

Of 1,073 men scheduled for health maintenance examinations, 497 (46%) agreed to participate and were randomized to the control (n = 75), brochure (n = 196), or Web site (n = 226) groups (Figure 1). Of the 576 eligible patients who did not participate, most (n = 398) were excluded because we could not contact them before their office visits. The remaining 178 were excluded for 1 or more of the following reasons: 79 planned to have blood work before the examination, 33 declined participation, 30 had a history of prostate cancer, 29 had been previously enrolled, and 24 did not have Internet access. Questionnaires were completed by 87% of patients and 91% of physicians overall. A similar proportion of patients in each of the intervention groups reported reviewing the decision aid before their visit (Web site, 85%; brochure, 88%). Baseline demographics for the control, brochure, and Web site groups were similar (Table 1).

Figure 1.

Figure 1.

Flowchart of study patients.

Note: Numbers of patients exclused do not add up to 576 because patients could have more than 1 reason for exclusion, ie, have blood work before examination and decline.

Table 1.

Characteristics of the Study Population by Group (N = 497)

Characteristic Control Group (n = 75) Brochure Group (n = 196) Web Site Group (n = 226)
Age, median (range), years 57 (50–70) 57 (50–70) 56 (50–70)
Race, %
    White 89 90 92
    African American 3 2 3
College education or higher, % 84 83 85
Prior testing for PSA, % 63 70 69
Patients seeing resident physicians, % 31 27 31
Physicians reporting to know which group patient was in, % 4 16 23

PSA = prostate-specific antigen.

Locus of Decision-Making Control

A total of 431 participants answered the CPS questions. In the control, brochure, and Web site groups, 36% of patients reported a purely collaborative decision (CPS choice C) (Figure 2). Exposure to either decision aid increased the patient’s involvement in the decision-making process compared with the control condition (Web site, P = .03; brochure, P = .03) (Figure 2). This shift toward more patient control reflected in part the tendency of participants in the brochure and Web site groups to report having made the decision themselves—an active decision-making role (A or B locus of control) (46% of control patients vs 56% of Web site and 54% of brochure patients). Additionally, more patients in the control group reported that the physician made the decision—a passive decision-making role (D or E locus of control) (18% of control patients vs 8% of Web site and 10% of brochure patients).

Figure 2.

Figure 2.

Locus of decision-making control (N = 431).

Note: The figure shows patient-reported decision-making control by study group. A smaller percentage of control patients reported being in control of their decision making than did Web site patients (P1 = .03) or brochure patients (P2 = .03) when responding to the question, “How was the decision made today on whether to do a PSA blood test? (A) I made the decision on whether to order a PSA test. (B) I made the decision about whether to order a PSA test after seriously considering my doctor’s opinion. (C) My doctor and I shared the responsibility for deciding whether to order a PSA test. (D) My doctor made the final decision about whether to order a PSA test after seriously considering my opinion. (E) My doctor made the decision whether to order a PSA test.” Previsit education did not increase the frequency of a shared locus of decision-making control (choice C).

The decision aids did not increase concordance between locus of actual and preferred level of decision-making control reported by the patient (P = .41) (Figure 3). Overall, 69% of respondents reported an actual locus that was consistent with their desired locus of decision-making control. Consistent with findings from a preliminary data analysis,23 more patients reported greater control than desired as opposed to the converse (19% vs 11%, P = .003).

Figure 3.

Figure 3.

Patients’ actual and desired locus of decision-making control (N = 431).

Note: The figure shows the level of concordance between the locus of decision-making control that patients reported and the locus of control that they desired. Concordance did not differ between the 3 study groups (P1 = .41). Participants overall were more likely to report “More patient control than desired” than “More physician control than desired,” however (19% vs 11%, P2 = .003).

Other Characteristics of the Decision-Making Process

Exposure to either decision aid appeared to alter several key aspects of the decision-making process (Table 2). Patients in the control group knew less about prostate cancer screening than did patients in either decision aid group; the percentage of correct answers on the knowledge scale was 54% in the control group vs 69% in the Web site group (P <.001) and vs 69% in the brochure group (P <.001). PSA testing, as reported by the physician, was 8% to 9% more common among control patients than among the decision aid groups (Table 2). In the control group, 85% of patients reported getting a PSA test, while 94% of physicians reported ordering the test (P = .06). This finding suggests that as many as 9% of these patients receiving usual care may have received a PSA test without their knowledge. This discrepancy was not observed in either decision aid group.

Table 2.

Additional Characteristics of the Prostate Cancer Screening Decision-Making Process

Characteristic Control Group (n = 75) Brochure Group (n = 196) Web Site Group (n = 226)
Patients reported reviewing educational material before visit, % 46 88 85
PSA test ordered
    Patient report, % 85 83 86
    Physician report, % 94* 85 86
Relative frequency no time (0 minutes) was spent discussing prostate cancer
    Patient report, % 2.7 1.0 3.1
    Physician report, % 1.3 0.5 0.9
Minutes spent discussing prostate cancer
    Patient report, mean (range) 5.2 (0–20) 5.3 (0–25) 5.1 (0–15)
    Physician report, mean (range) 4.2 (0–30) 3.8 (0–15) 3.7 (0–20)
Number of prostate cancer topics discussed§
    Patient report, mean (range) 4.3 (0–10) 4.9 (0–10) 5.0 (0–10)
    Physician report, mean (range) 5.2 (0–10) 5.1 (0–10) 5.0 (0–10)
Percentage of knowledge questions patient answered correctly 54|| 69 69
Patient DCS score, mean (range) 1.58 (1–3.2) 1.54 (1–2.8) 1.55 (1–2.7)

PSA = prostate-specific antigen; DCS = Decisional Conflict Scale.

* Control group: patient-reported vs physician-reported frequency of PSA testing (P = .06).

† Physician-reported frequency of PSA testing: brochure group vs control group (P = .04).

‡ Physician-reported frequency of PSA testing: Web site group vs control group (P = .06).

§ Potential range: 0 to 10.

|| Control vs brochure group (P <.001); control vs Web site group (P <.001).

The decision aids did not appear to alter the amount of time spent discussing prostate cancer screening or the number of prostate cancer screening topics that patients or physicians recalled addressing (Table 2). DCS scores among all 3 groups were equally low and did not differ significantly (control, 1.58; brochure, 1.54; and Web site, 1.55). Scores less than 2 reflect low decisional conflict and a relatively high likelihood of reaching a medical decision.29 At enrollment, 74% of men reported that they wanted a PSA test and 22% said that they were unsure. Patients’ strong predisposition toward knowing whether they wanted a PSA test likely contributed to the low DCS scores.

Physician Perceptions of the Decision-Making Process

Combining the 3 groups, in only 34% of encounters did physicians and patients agree on the locus of decision-making control. Physicians tended to report that they had greater control over the decision than did patients, as measured by the CPS. Physicians thought that they spent less time discussing prostate cancer screening than did patients (3.8 vs 5.2 minutes, P <.001) and, although not statistically significant, they reported discussing more topics (5.1 vs 4.9, P = .23). These patient-physician differences did not differ significantly across the control, brochure, and Web groups.

DISCUSSION

As proposed by the USPSTF, shared decision making represents a patient-clinician process in which both parties share information, jointly participate in decision making, and agree on a course of action.6 Guideline panels have advocated a pretest discussion of potential benefits and harms as part of the prostate cancer screening decision.35 The need for shared decision making has emerged in response to both information uncertainty and value uncertainty. Despite a wealth of research on prostate cancer screening, the magnitude of benefit, if any, is unknown. Even if a clear benefit to screening were to be found, value uncertainty would persist—a trade-off of risk vs benefit, the magnitude of each inherently dependent on individual patient values. Shared decision making has been viewed as an ethical duty to address both areas of uncertainty as well as to foster the patient-clinician partnership, promote patient autonomy, improve patient knowledge, and create more realistic patient expectations.6

Whether shared decision making is truly the right way for clinicians to approach the prostate cancer screening decision remains unclear. No evidence exists that such a process results in improved health outcomes. Additionally, shared decision making encounters a multitude of clinician and patient barriers.11 Finally, even if shared decision making were beneficial and feasible to deliver, some investigators have noted the paternalism of insisting that all clinicians use this approach.34

Even if shared decision making is the preferred approach, measuring its occurrence is difficult, as our findings highlight. One could measure a single surrogate outcome of the quality of the decision-making process, such as patient knowledge or decisional conflict. Although these outcomes are useful, improvements in these surrogates do not, by themselves, ensure that the decision-making process caused the improved outcome. We purposely measured multiple aspects of the decision-making process that are commonly studied when evaluating decision aids to seek a broader understanding of the entire decision-making process. Recently, several instruments have been developed that yield a numerical score on the quality of the process.35,36 Unfortunately, neither this score nor any other reference standard has emerged to define a decision as shared.30

If we adopt the 4 elements of the USPSTF definition of shared decision making (described earlier), we would conclude that our decision aid improved 2 elements—knowledge of the disease and of screening—but not the other 2 elements—consideration of patients’ values and engagement in the decision at the desired level. Assessing whether these changes represent an improvement in shared decision making is problematic. If shared decision making is reduced to these 4 scales, at what threshold for each of these scales can we say that shared decision making occurred? What if some elements are done well and others are not? Does increased patient knowledge qualify as shared decision making? Is discordance between desired and actual decision-making control incompatible with shared decision making?

Our study has several important limitations. First, we measured outcomes by patient and physician questionnaires as opposed to direct observation or interview. Second, we studied a well-educated, computer-savvy patient population that may be more likely to use a Web-based decision aid. Internet use has become increasingly more commonplace across demographic groups, however.37 The rapid increase in the number of available Web-based educational aids attests to the need to study the Web as a medium for enhancing patient education. Third, in July 2003, the study practice lost a well-publicized malpractice case involving shared decision making and prostate cancer screening.9 A temporal analysis suggested that the ruling had no apparent impact on the locus of decision-making control or participant enrollment.38 Although there was a slight increase in the PSA testing rate from before to after the lawsuit (from 84% to 90% of encounters, P = .06), trends were similar across the 3 study arms.38 In addition to being highly educated, our study population had a relatively high PSA testing rate in both decision aid arms and before the publicized lawsuit; however, similarly high testing rates have been seen in several studies evaluating prostate cancer screening decision aids in similar situations,14,15,22,39 and educated populations presenting for wellness services (as we have studied) are more likely to receive PSA testing. Fourth, 46% of control patients reported that they viewed educational material before the office visit. It is unlikely that they viewed our decision aid, as it is not available at an obvious URL on the Web. Viewing other publicly available educational material before their visit may have dampened the incremental effect of our decision aids. Finally, our study was underpowered to detect differences between the brochure and Web site groups. A significant difference between these groups is unlikely, given our current findings.

In conclusion, simple paper- and Web-based decision-making aids were equally effective at promoting patient activation in the decision-making process and educating patients. Whether the aids increased shared decision making is less clear. Further research to define and measure shared decision making is required before the utility of aids can be fully understood.

Acknowledgments

We would like to thank the faculty, residents, and patients of Fairfax Family Practice Center at the VCU School of Medicine/INOVA campus for participation in and assistance with this study, as well as Robert Volk, PhD, and Annette O’Connor, PhD. We would also like to thank Theodore Ganiats, MD, for sharing copies of a decision aid, developed for the American Academy of Family Physicians, to which we referred in developing our instrument.

Conflicts of interest: Dr Krist is a faculty member, practicing physician, and partial owner of Fairfax Family Practice Residency, where the study was conducted.

Funding support: This work was funded by the American Academy of Family Physicians Foundation under the Joint Grant Awards Program.

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