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. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: Prev Med. 2016 Sep 28;93:96–105. doi: 10.1016/j.ypmed.2016.09.034

Impact of Provider-Patient Communication on Cancer Screening Adherence: A Systematic Review

Emily B Peterson 1,1, Jamie S Ostroff 2, Katherine N DuHamel 3, Thomas A D’Agostino 4, Marisol Hernandez 5, Mollie R Canzona 6, Carma L Bylund 7
PMCID: PMC5518612  NIHMSID: NIHMS877045  PMID: 27687535

Introduction

Adherence to cancer screening is critical for early detection and treatment of several types of cancer, and a lack of screening is associated with late-stage diagnosis and lower survival rates. As recommended by current preventive health guidelines2, several screening tools have proven effective in reducing the burden of various cancers, including cytology (Pap smear) for cervical cancer (1), mammography for breast cancer (2), and fecal occult blood testing (FOBT), sigmoidoscopy, colonoscopy, and fecal immunochemical test (FIT) for colorectal cancer (3, 4), and, more recently, low dose helical computed tomography (LDCT) for lung cancer (5). Despite benefits, cancer screening continues to be underutilized in the United States and worldwide (6, 7). Given the ability of screening tests to reduce cancer morbidity and mortality, improving adherence to cancer screening is of critical importance to public health.

Many factors such as health literacy (8), risk perception (9), lack of health insurance (10) and social influence (11) are associated with cancer screening rates. However, provider-patient communication regarding screening tests may play one of the strongest modifiable roles in cancer screening behavior (12). Physicians and other primary health care providers can serve as a key health information source by assessing patient screening eligibility, negotiating a course of action, and helping to coordinate screening tests and follow-up care (13). The impact of provider recommendation on cancer screening behaviors was recently emphasized in a consensus statement released by the National Institutes of Health (12). Moreover, the U.S. Department of Health and Human Services included increasing provider counseling about screening tests as a main objective in the Healthy People 2020 goals (14).

Until recently, most research examining the impact of a primary care provider recommendation on cancer screening has used simple, narrow questions (e.g., “Did your physician recommend a screening test?”). More recent work has suggested that the presence or absence of a provider recommendation alone may not be sufficient and has focused on the content and quality of the provider-patient communication surrounding screening tests (13). While several screening tools have been developed and adapted to investigate the content of provider-patient conversations about screening tests (e.g., investigator-created informed-decision making scales), these studies have not been systematically reviewed. In addition, several interventions have been proposed to increase and improve provider-patient communication about screening. These interventions have focused mainly on improving patient reminders (15), conducting communication skills training for physicians (16) and using “patient navigators” (12) to increase screening rates.

In this paper, we aimed to systematically review studies that focused on the role of provider-patient communication in screening behavior. We included studies that assessed provider recommendation alone, studies that explored the quality and content of provider-patient discussions about screening, and interventions designed to improve provider-patient communication about screening and subsequent screening behaviors.

We chose to focus this review solely on screening tests that currently hold a “B” recommendation or higher for the general population from the U.S. Preventative Services Task Force (USPSTF), including mammograms, Pap smears and colorectal cancer screening. Other common cancer screening tests, such as the prostate specific antigen (PSA), were excluded from analysis due to the high risk of false-positive tests and low grade from the USPSTF. Despite its B rating, lung cancer screening was excluded from analysis as these recommendations are relatively new (2013), and therefore a parallel literature on provider-patient communication is not yet adequate for systematic review.

Method

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for this review (17).

Literature Search

A comprehensive electronic literature search of articles published between January 1, 1992 and June 10, 2016 was conducted in the following databases: PubMed, PsycINFO (Psychological Abstracts) via OVID, Cochrane via Wiley, and EMBASE provided by Elsevier. All languages and publication types were included in the search strategy. Controlled vocabulary (MeSH, EMTREE and PsycINFO Subject Headings) and keywords were used. Three broad concept categories were searched, and results were combined using the appropriate Boolean operators (AND, OR). The broad categories included breast, colorectal or cervical cancers; screening tests; and the healthcare provider-patient communication relationship. Table 1 contains the full search strategy.

Table 1.

Search Strategies and Terms Used

Medical Subject Headings (MeSH) Keyword terms
(“Breast Neoplasms” [MeSH] OR “Uterine Cervical Neoplasms”[MeSH] OR “Colorectal Neoplasms” [MeSH]) AND (“Mammography” [MeSH] OR “Ultrasonography, Mammary” [MeSH] OR “Sigmoidoscopy” [MeSH] OR “Colonoscopy” [MeSH] OR “Colonography, Computed Tomographic” [MeSH] OR “Vaginal Smears” [MeSH]) AND “Communication” [MeSH] (breast cancer OR cervical cancer OR colorectal cancer) AND (cancer screening OR mammography OR mammogram OR sigmoidoscopy OR colonoscopy OR fecal occult blood test OR FOBT OR fecal immunochemical testing OR pap test OR pap smears) AND (patient physician communication OR patient clinician communication OR patient doctor communication OR patient provider communication OR communication OR speak OR speaking OR talk OR talking)

Review and Abstraction Process

Studies were screened for inclusion in three phases. In the first phase, two authors independently reviewed titles for duplicates and poor fit with focus of this systematic review. If at least one author coded the title to continue to the next round, four authors then independently reviewed abstracts and classified the articles based on the eligibility (inclusion/exclusion) criteria. If at least two authors selected to include the study at this stage, the full text of the article was recommended for full data extraction. Discrepancies were discussed at the full text review stage until a consensus was reached.

Data Extraction

Three authors independently extracted data from all eligible studies and discrepancies were reconciled as necessary. Authors extracted the following items from the studies: sample characteristics (sample size, mean age and sex); the type of study and sampling technique; how the communication item(s) were defined, measured and operationalized; how the adherence item(s) were measured and operationalized, and main findings of the study.

Inclusion/Exclusion Criteria

Peer-reviewed quantitative studies were included in the study if the recommendation was from a primary care provider (physician, nurse practitioner, or physician’s assistant) and interpersonal communication (including face-to-face or telephone) was included as an independent variable. Exclusion criteria included only written communication (e.g., letter or brochure) studied, a healthcare professional other than a primary care provider as the communicator (e.g., peer navigator, clinical nurse), and articles that included standardized patients only. Articles were also excluded from the study when the quality of communication was measured only generally and not specific to the cancer screening discussion (e.g., (1823)), and when only non-adherers were surveyed and asked about barriers to screening (e.g., (24)). Intervention studies were included if at least one of the following criteria was met: (1) the article measured both screening recommendation and adherence; or (2) the intervention was communication focused (e.g., teaching doctors how to best talk to patients).

Results

Summary of Included Articles

The systematic search resulted in 3,252 records to be searched. Figure 1 contains the PRISMA flow chart for this review. A total of 35 articles were considered suitable for inclusion in the review. All but six of the articles were from the United States–other represented countries included Canada (25, 26), Singapore (27), Israel (28), France (29) and Italy (30). Many articles focused on unique populations, including ethnic minorities, rural and urban residents, and veterans.

Figure 1.

Figure 1

PRISMA Flow Chart.

Tables 24 summarize the included 35 articles, with each table displaying information about findings in one of three categories of study: recommendation, quality of communication and intervention. Each table is then sub-divided by cancer type. Four of the articles reported findings on two or more different cancer types (16, 26, 31, 32) and one reported findings on two different categories: recommendation and quality of communication (13). Thus, the total number of findings reported in the tables equals 41.

Table 2.

Characteristics of included recommendation studies (n=24 findings; 22 unique papers)

Author (year); Country/population Sample size, (% female, mean/mode age) Study design; Sampling procedure Screening test Communication operationalization, definition; measurement Total percent adherent; measurement; operationalization Main findings
Breast Cancer Screening (n=5)
Cruz et al. (2008)
Chamorro living in San Diego (63)
N = 110 (100%, Mo = ≥60) Cross-sectional
Convenience sample
Mammography Provider recommendation
Patient self-report
75.9% screened in past 2 years
Patient self-report
Provider recommendation was associated with receipt of mammogram (p = .002).
Magai et al. (2004)
USA (64)
N = 1,364 (100%, M = 59.3 [SD = 6.5]) Cross-sectional
Representative sample
Mammography Doctor recommendation
Patient self-report
Mean number of mammograms in the past 10 years was 5.3 [SD = 3.9]
Patient self-report
Women with physicians who recommended screening were more likely to have a mammogram. (OR = 2.29, 95% CI = 1.42–3.69).
Mah & Bryant (1997)
Canada (25)
N = 1,211 (100%, NR) Cross-sectional Representative sample Mammogram Doctor recommendation Patient self-report 30% screened in past 2 years
Patient self-report
Screeners (on schedule): 92.0% reported recommendation
Intenders (plan to get screened in next 2 years): 45.7% report recommendation
Non-Screeners: 21.8% reported recommendation.
Roman et al. (2014)
Black, Latina and Arab women living in Detroit (32)
N = 514 (100%, NR) Cross-sectional
Convenience sample
Mammography Doctor recommendation
Patient self-report
66.5% on schedule (past year)
Patient self-report
Mammography: A lack of doctor recommendation was significantly associated with lower odds of screening among Latinas (OR = .01, 95% CI = .002, .12) and Arab women (OR = .25, 95% CI = .10, .61) but not significant for Black women.
Todd, Harvey and Hoffman-Goetz (2011)
Chinese immigrant women living in Canada (26)
N = 103 (63.61) Cross-sectional
Convenience sample
Mammography Ever had doctor recommendation
Patient self-report
92% ever screened and 79% on schedule Patient self-report Physician recommendation was a strong predictor of screening with only 9% of never screeners reporting receipt of a physician recommendation in the past 5 years compared with 91% of ever users.
Cervical Cancer Screening (n=5)
Del Maso (2010)
HIV+ women in Northern Italy (30)
N = 1,002 (100%, NR) Cross-sectional
Representative sample
Pap Doctor recommendation
Patient self-report
61% screened in past year
Patient self-report
Receiving screening advice from a gynecologist rather than an infectivologist was associated with better screening participation (OR = 0.6, 95% CI = 0.4, 0.9).
Roman et al. (2014)
Black, Latina and Arab women living in Detroit (32)
N = 514 (100%, NR) Cross-sectional
Convenience sample
Pap Doctor recommendation
Patient self-report
66.5% on schedule (past 3 years)
Patient self-report
Pap: A lack of doctor recommendation was significantly associated with lower odds of screening among Latinas (OR = .09, 95% CI = .02, .42) and Arab women (OR = .26, 95% CI = .12, .54) but not significant for Black women.
Taylor et al. (2004)
Vietnamese American living in Seattle (65)
N = 352 (100%, Mo = ≥50) Cross-sectional
Representative sample
Pap Ever had doctor recommendation, Patient self-report 68% screened in past 3 years
Patient self-report
Women who reported a physician recommendation had a nearly 7.0 higher odds of having been screening for cervical cancer in the preceding 3 years.
Taylor et al (2009)
Vietnamese American living in Seattle (66)
N = 1,516 (100%, NR) Cross-sectional
Representative sample
Pap Ever had doctor recommendation
Patient self-report
93% ever screened, 81% screened in past 3 years
Patient self-report
Multivariate analysis indicated that doctor recommendation for Pap testing was independently associated with cervical cancer screening (OR = 2.7, 95% CI = 1.8–3.9, p < .001).
Tracey et al. (2013)
Lesbians living in USA (67)
N = 1,006 (100%, M = 44) Cross-sectional
Representative sample
Pap Provider recommendation
Patient self-report
62% on schedule1
Patient self-report
Women whose healthcare providers had recommended screening were more likely to become routine screeners (Adjusted OR = 2.04, 95% CI = 1.32, 3.15).
Colorectal Cancer Screening (n=14)
Cairns and Viswanath (2006)
HINTS (68)
N = 1,253 (62%, 50–64 only) Cross-sectional Representative sample Colonoscopy, sigmoidoscopy, or FOBT Ever had provider recommendation
Patient self-report
71% ever screened
44% on schedule for FOBT
Patient self-report
Individuals without a recommendation were significantly less likely to be screened, for both uninsured (95% CI = 0.003–0.083) and insured (95% CI = .054-.0119) individuals.
Christie et al. (2005)
African-American and Hispanic living in East Harlem (62)
N = 81 (100%, Mo = ≥65) Cross-sectional
Convenience sample
Colonoscopy or sigmoidoscopy Ever received doctor recommendation
Patient self-report
49% ever screened
Patient self-report
Doctor recommendation was significantly associated with screening behavior (p <.0001).
Halbert (2016)
African Americans living in Philadelphia (69)
N = 262 (56%, 57.2 [SD = 5.0]) Cross-sectional
Convenience sample
Colonoscopy or sigmoidoscopy Ever received provider recommendation
Patient self-report
57% ever screened
Patient self-report
Participants who reported that they had discussed colorectal cancer screening with their health care provider had a 10-times greater likelihood of screening compared to those who did not report provider communication about screening (OR = 10.78, 95% CI = 4.85, 29.94, p < .001).
Honda (2004)
Japanese living in USA (70)
N = 305 (39%, 52.3 [SD = 15.3]) Cross-sectional Representative sample Colonoscopy, sigmoidoscopy, or FOBT Doctor recommendation, patient self-report, 37% FOBT in past 2 years and 26% colonoscopy or sigmoidoscopy in past 5 years
Patient self-report
Those with physician recommendation had higher odds of reporting FOBT screening (OR 3.6, 95% CI = 1.8–6.9) and colonoscopy/sigmoidoscopy screening (OR 13.7, 95% CI = 6.1–30.6).
Jo et al (2008)
Korean Americans living in Los Angeles (42)
N = 151 (68%, M = 54.2) Cross-sectional
Convenience sample
Colonoscopy, sigmoidoscopy, or FOBT Doctor recommendation
Patient self-report
17% received either FOBT in past year or sigmoidoscopy or colonoscopy within 5 years
Patient self-report
Respondents who received a recommendation were significantly more likely to be screened than those who did not receive a recommendation (45% v. 6%, p<.0001).
Katz et al. (2011)2
Ohio Appalachia (71)
N = 170 (62%, ≥50 only) Cross-sectional
Convenience sample
Colonoscopy, sigmoidoscopy, or FOBT Doctor recommendation
Patient self-report
29% on schedule3
Patient self-report
Adjusted odds ratio for being on schedule was significantly higher for adult with a doctor recommendation (OR=6.09; 95% CI=2.80, 13.21, p<.0001).
Katz et al. (2004)
African Americans living in rural North Carolina (72)
N = 397 (74%, M = 63) Cross-sectional
Convenience sample
Colonoscopy, sigmoidoscopy, or FOBT Doctor recommendation
Patient self-report
31% on schedule for col or sig or FOBT
Patient self-report
Of the individuals who reported being screened, 65% received recommendation, compared to 36% recommendation for those who reported not being screened.
Lafata et al. (2014)
Patients in Detroit Integrated Delivery System4 (13)
N = 443 (65%, M = 59.1) Longitudinal Convenience sample FOBT, colonoscopy, sigmoidoscopy, double contrast barium enema Doctor recommendation during study
Outside Coder
53% screened in past year
Chart review
When physicians made a clear recommendation about screening (Advise step), participants were significantly more likely to be screened (OR = 4.31, CI = 1.75, 10.59).
Laiyemo et al. (2014)
HINTS (73)
N = 4,383 (54%, M = 63.6) Cross-sectional Representative sample Colonoscopy, sigmoidoscopy, or FOBT Provider recommendation
Patient self-report
62.6% on schedule
Patient self-report
A specific recommendation was associated with a 13-fold increased odds of being compliant with screening (OR = 12.11; 95% CI = 9.41–15.60).
Modiri et al. (2013)
California Health Inventory Survey (74)
N = 30,875 (53.4%, M = 63.3) Cross-sectional
Representative sample
Colonoscopy Doctor recommendation
Patient self-report
44.5% screened in past 5 years
Patient self-report
Participants who underwent a colonoscopy were significantly more likely to receive a recommendation for this test from their physician (67.3% vs. 39.6%).
Paskett et al. (2013)
Ohio Appalachia (11)
N = 1,085 (58.6%, M = 61.4) Cross-sectional
Representative sample
Colonoscopy, sigmoidoscopy, or FOBT Ever had doctor recommendation
Patient self-report
49.5% on schedule
Chart review
Having a doctor’s recommendation to be screened resulted in significantly higher screening rates (OR = 9.09, 95% CI = 5.52, 14.97).
Thompson et al. (2014)
African Americans (75)
N = 1,021 (67%, M = 63.1 [SD = 7.7]) Cross-sectional
Representative sample
Colonoscopy, sigmoidoscopy, or FOBT Provider recommendation
Patient self-report
60% on schedule
Chart review
Individuals with no recommendation were less likely to be adherent (OR = .23, 95% CI = .16, .32).
Todd, Harvey and Hoffman-Goetz (2011)
Chinese immigrant women living in Canada (26)
N = 103 (63.61) Cross-sectional
Convenience sample
Colonoscopy, sigmoidoscopy, or FOBT Ever had doctor recommendation
Patient self-report
78% ever screened and 58% on schedule
Patient self-report
Physician recommendation significantly explained the variation in both ever vs. never and current vs. non-current colon cancer screening behaviors.
Wong et al. (2013)
Singapore (27)
N = 1,743 (60.2%, M = 62.1) Cross-sectional
Representative sample
Colonoscopy, sigmoidoscopy, or FOBT Doctor recommendation
Patient self-report
26.7% on schedule
Patient self-report
Recommendation was a strong predictor of positive screening behavior in both men (Adjusted OR = 3.5, 95% CI = 2.33, 5.27) and women (Adjusted OR = 2.35, 95% CI = 1.71, 3.22).
1

On schedule based on ACS screening guidelines which recommends a Fecal Occult Blood Test (FOBT) annually, a flexible sigmoidoscopy (FS) every 5 years, or a colonoscopy every 10 years.

2

Manuscript included intervention, but analysis of interest was contained in baseline, cross-sectional data only.

4

Article also included in quality studies section.

Table 4.

Characteristics of included intervention studies (n=8 findings; 6 unique papers)

Author (year); Country/population Sample size, (% female, mean/mode age) Study design; Sampling procedure Screening test Description of intervention Total percent adherent measurement; operationalization Main findings
Breast Cancer Screening (n=2)
Giveon & Kahan (2000)
Women living in Israel (28)
N = 218 (100%, not reported) Non-random intervention
Convenience sample
Mammography Physicians were asked to talk to all female patients about screening, including importance, reasons, and discussing patient fears or lack of knowledge 32% (I)/13% (C) Screened in the past 2 years
Patient self-report
More women (32%) in the intervention group than in the control group (13%) reported that they had started to undergo regular breast examinations. This difference was statistically significant (chi-square 10.71, p < .001).
Price-Haywood, Harden-Barrios, & Cooper (2014)
Low health literacy patients living in New Orleans (16)
168 (78.5%, 58.5) RCT
Representative sample
Mammography Physicians received communication skills training with standardized patients 36.6% (average for all three cancer types)
Screened in the past year
Patient self-report
Mammography screening rates were significantly higher for intervention physicians’ patients.
Cervical Cancer Screening (n=1)
Price-Haywood, Harden-Barrios, & Cooper (2014)
Low health literacy patients living in New Orleans (16)
168 (78.5%, 58.5) RCT
Representative sample
Pap Physicians received communication skills training with standardized patients 36.6% (average for all three cancer types)
Screened in the past year
Patient self-report
Mammography screening rates were significantly higher for intervention physicians’ patients. There was no difference for rates of Pap colorectal cancer testing.
Colorectal Cancer Screening (n=5)
Aubin-Auger (2015)
France (29)
N = at least 477 in each group (control group: 45.1%, 59.1; intervention group 51.5%, 60.9) RCT
Representative sample
FOBT Physicians received patient-centered communication skills training through video and interactive methods. 36.7% (I)/24.5% (C) in past 2 years (extrapolated from 7-month study period)
Chart review
More patients in the intervention group than in the control group were screened (p = .03).
Ferreira et al. (2005)
Male veterans living in Chicago (39)
N = 1,978 (0%, 67.8) RCT
Convenience sample
Colonoscopy, sigmoidoscopy, or FOBT Physician communication skills training. Included initial 2-hour workshop and 1 hour feedback sessions every 4–6 months 43.1% (I)/32.4% (C)
Chart review
Intervention group patients were more likely to receive recommendation to undergo screening than control group patients (76% v. 69.4%, p = .02). Intervention group patients were also more likely to be screened than control group patients (p = .003).
Khankari et al. (2007)
Patients at an urban FQHC (40)
N = 154 (68%, 60.1) Non-random intervention
Convenience sample
Colonoscopy, sigmoidoscopy, or FOBT Physician communication skills training, establishing a clinic “feedback loop,” and providing patients with education materials prior to the visit. 27.9% screened in past year
Chart review
Rates of recommendation increased nearly threefold (92.9%) from baseline, and patient screening completion significantly increased (p < .001) from baseline screening rate (11.5%).
Myers et al (2004)
FOBT+ patients living in the northeast (41)
N = 2992 (NR, NR) RCT
Representative sample
Complete diagnostic evaluation for FOBT+ patients (colonoscopy or sigmoidoscopy) Physician-oriented reminder-feedback mailed form and personalized educational outreach
Total percent screened not reported
Chart Review
Physicians in the intervention group were significantly more likely to recommend CDE than physicians in the control group (OR = 2.28; 95% CI: 1.37, 3.78).
At endpoint, CDE performance rates were greater for the intervention group as compared to the control group (OR = 1.63, 95% CI: 1.06, 2.50).
Price-Haywood, Harden-Barrios, & Cooper (2014)
Low health literacy patients living in New Orleans (16)
168 (78.5%, 58.5) RCT
Representative sample
Colonoscopy, sigmoidoscopy, or FOBT Physicians received communication skills training with standardized patients 36.6% (average for all three cancer types)
Screened in the past year
Patient self-report
There was no difference for rates of colorectal cancer testing.

Of the findings included in the review, most (n=24) examined provider recommendation (Table 1). Nine studies analyzed the quality of the provider-patient discussion about cancer screening (Table 2), and eight assessed an intervention to improve provider-patient communication and subsequent screening behaviors (Table 3).

Table 3.

Characteristics of included communication quality studies (n=9 findings; 7 unique papers)

Author (year); Country/population Sample size, (% female, mean/mode age) Study design; Sampling procedure Screening test Communication quality definition; measurement Total percent adherent; measurement; operationalization Main findings
Breast Cancer Screening (n=3)
Fox, Siu, & Stein (1994)
Women living in Los Angeles (33)
N = 972 (reported in ranges) Cross-sectional, representative sample Mammography Investigator-created scale with items on mammography discussion and doctors “having enthusiasm” for mammography;
Patient self-report
24.1% screened in past year by patient self-report Physician talking about mammography was significantly related to recent mammogram utilization (p = .002). Additionally, women whose physicians had a great deal of enthusiasm for mammography were 4.5 more likely to complete screening.
Lauver et al. (2003)
Three groups women (including urban and lesbian) living in the mid-west (35)
N = 797 (64.4) Longitudinal,
Recruitment included both representative and convenience samples
Mammography Investigator-created scale with items on encouragement and explanation
Patient self-report
50.2% screened at second follow-up (16–22 months)
Combination of patient self-report and chart review
Participants with higher mammography-specific communication scores were significantly more likely to have had mammograms. Further, each item from the mammography-specific communication scale was significantly correlated with mammography at the second follow-up interview.
Politi et al. (2008)
Unmarried women in the US (31)
N = 605 (53) Cross-sectional,
Convenience sample
Mammography Investigator-created scale with items on clearly explaining the test and amount of time spent on discussion.
Patient self-report
71% on schedule by patient self-report Women who reported that their providers communicated about screening tests were more likely to be on schedule than women who reported that their providers did not communicate about screening tests.
Cervical Cancer Screening (n = 1)
Politi et al. (2008)
Unmarried women in the US (31)
N = 605 (53) Cross-sectional,
Convenience sample
Pap
Investigator-created scale with items on clearly explaining the test and amount of time spent on discussion.
Patient self-report
77% on schedule by patient self-report Women who reported that their providers communicated about screening tests were more likely to be on schedule than women who reported that their providers did not communicate about screening tests.
Colorectal Cancer Screening (n=5)
Lafata (2014), Patients in Detroit Integrated Delivery System (13) N = 443 (65%, M = 59.1) Longitudinal Convenience sample FOBT, colonoscopy, sigmoidoscopy, double contrast barium enema 5A steps (assessing, advising, agreeing, assisting, arranging)
Outside coder of audio recording
53% screened in past year
Chart review
Likelihood of screening increased with the more 5A steps the discussion included.
(3 steps vs. 0 had an OR of 4.98, p<.001. 1–2 steps vs. 0 had an OR of 2.96, p<.05. 3 or more vs. 1 or 2 had OR = 1.7, p<.05.).
Lafata (2015)
Patients in Detroit Integrated Delivery System (38)
N = 414 visits (64%, NR) Cross-sectional
Convenience sample
Colonoscopy, sigmoidoscopy, or FOBT Physician use of persuasive techniques
Outside coder of audio recording and patient self-report
56% screened in past year
Chart review
There was no statistically significant relationship observed between the type(s) of persuasion technique used by the doctor and CRC screening adherence. There was also no statistically significant association between patients reporting that their doctor tried to persuade them and their subsequent CRC screening adherence.
Ling et al. (2008),
Veterans Administration (VA) clinic in Pittsburgh, PA (34)
N = 91 (0%, all patients 50–74 yo) Cross-sectional, convenience sample Colonoscopy, sigmoidoscopy, or FOBT Informed Decision-Making (IDM) Model
Outside coder of audio tapes
40% screened
Chart review
Provider assessing patient understanding was positively associated with CRC screening completion (p = .002).
Discussion of pros-cons was negatively associated with CRC screening completion (p = .01).
Eliciting patient preferences was negatively associated with CRC screening completion (p = .001).
Mosen et al. (2013)
Members of HMO in the Northwest (36)
N = 883 (58.3%, 59.1 [SD = 5.2]) Cross-sectional1, convenience sample Colonoscopy, sigmoidoscopy, or FIT Informed decision-making (Braddock)
Patient self-report
Total percent adherent not reported, past 9 months
Patient self-report
Patients’ perceptions of the comprehensiveness of colorectal cancer screening discussions were associated with screening in both unadjusted (OR=1.84, 95% CI = 1.20–2.81, p = 0.005) and adjusted (OR=1.51, 95% CI = 1.03–2.21, p = 0.035) models.
Napoles et al. (2014)
Latinos living in California (37)
N = 505 (69%, 61 [SD = 8.4]) Cross-sectional, representative sample Colonoscopy, sigmoidoscopy, or FOBT Colorectal Cancer Screening Counseling Survey
Patient self-report
59% on schedule
Patient self-report
Four scales/items were significantly associated with endoscopy/any screening completion:
(1) explanations of CRC risks/tests,
(2) elicitation of patient’s CRC screening barriers, (3) responsiveness to patient’s CRC screening concerns, and (4) patient’s perceived level of encouragement.
1

Study was intervention, but our analysis of interest was baseline cross-sectional data.

Across all the tables, colorectal cancer was the most common type of cancer screening studied (n = 24 findings). Of these, most included several types of screening (colonoscopy, sigmoidoscopy, FOBT). Ten findings examined mammography, and seven focused on Pap smears.

Provider Recommendation

The majority of the provider recommendation findings were focused on colorectal cancer screening (n=14) with five findings about breast cancer screening and five findings about cervical cancer screening.

There was relative uniformity in the study designs and methods of the recommendation studies. Twenty-three of the 24 findings assessed provider recommendation by patient self-report; only one study used an outside coder of audio recordings (13). Most studies also relied on patient self-report for adherence, with only three findings using chart review.

Across all 24 findings examining provider recommendation, there is overwhelming evidence that provider recommendation significantly improves cancer screening rates. This holds true among a variety of populations (e.g., urban and rural, different geographic region, and various ethnicities). Only one study (32) reported negative findings, and in this study it was only for one of three racial/ethnic groups studied. Specifically, the study found that physician screening was not significantly associated with screening among African-American women living in Detroit, but was significantly associated with Latina and Arab women.

Provider-Patient Communication Quality

Studies focusing on quality of communication were fewer in number than those focusing solely on whether a recommendation was made, with only nine findings. Because we use the term quality to capture varying characteristics of communication, it is more difficult to synthesize these studies. Operationalization of screening behavior also varied between studies, such as “on schedule” (e.g. (31)), in the past year (e.g., (33)) and not reported (e.g., (34)).

However, there are common themes and similarities among the three findings on breast cancer screening (31, 33, 35) and one analysis on cervical cancer screening (31), which was part of one of the breast cancer studies. All of these studies used investigator-created, non-validated, patient self-report measures to evaluate aspects of communication, including how clearly the discussion happened. Some studies also measured enthusiasm (33) and encouragement (35). Across the breast cancer and Pap screening studies, adherence was improved with: simply talking about it, enthusiasm, explanations, elicitation of barriers, and responsiveness to patient concerns.

There are also similarities among the five studies on colorectal cancer screening (13, 34, 3638). These articles were generally more recent, with four of the five articles published between 2013 and 2015. Three (13, 34, 38) audio-recorded provider-patient encounters and then coded this data using a previously published coding system or framework and measured adherence through chart review. The other two studies (36, 37) used patient self-report to measure the communication and screening adherence.

In the colorectal cancer screening analyses, findings that focused on provider encouragement and on shared and informed decision making components were generally positively correlated with screening. One study presented negative findings and reported that discussions of pros and cons and eliciting patient preferences were negatively associated with screening (34). In addition, one study found no significant difference between physicians’ use of various persuasive techniques and subsequent adherence (38).

Intervention

Intervention studies are shown in Table 3. This section included five findings for colorectal cancer screening, two for mammography, and one for Pap. All interventions included some form of communication skills training or screening education for providers. The communication skills trainings varied substantially in the complexity and content of the interventions. One intervention was relatively simple, consisting of instructing physicians to spend a few minutes discussing the importance of screening with patients (28), while others were more complex and included team workshops, video training and multiple feedback sessions (29, 39, 40). Another article with three findings included in the review relied primarily on training with standardized patients (16). Two findings additionally focused on the practice-facilitation workflow surrounding the communication, either by tracking patients and mailing patients a physician letter/brochure prior to the visit (40) or sending reminder-feedback forms for the provider after a patient’s FOBT+ result (41).

There were two types of outcomes of interest for intervention studies included in the review: first, if the intervention improved provider recommendations; and second, if the improved provider counseling subsequently led to increased screening rates for patients. The outcomes were again generally positive. Both mammography interventions reported that significantly more women in the intervention group were screened than women in the control group (16, 28). Additionally, four of the five colorectal screening findings found that patients included in the intervention arm were more likely to both receive a provider recommendation and be screened than the control group or at baseline (29, 3941). However, one colorectal cancer screening analysis, and the Pap analysis from the same article, found no difference in the control and intervention arm for patient screening rates (16).

Discussion

There should be no doubt that provider recommendations are important to patient adherence to cancer screening. A positive association between provider recommendation and patient screening adherence was present in nearly every study and across many different types of populations and types of cancer screened. However, a dichotomous provider recommendation measure explains only part the variance in screening behavior. For example, in one study of Korean Americans living in California, screening rates were less than 50% even with a physician recommendation (42). One conclusion from our systematic review of the extant literature is that a simple provider recommendation is necessary but not sufficient for optimal adherence to cancer screening guidelines. Provider-patient communication is more nuanced than just a simple recommendation, and the quality and content of the discussion surrounding the recommendation may have an additional and important bearing on a patient’s decision to get screened.

Rather than continue to examine the relationships of recommendation to screening behavior, we advise that cancer prevention and control researchers expand their communication focus to better understand the quality and content of provider-patient communication about screening. Eight articles in this systematic review are noteworthy for examining more granular elements of provider-patient communication about cancer screening (13, 31, 3338). From these few heterogeneous studies, one of the strongest indicators of screening adherence was the amount of provider enthusiasm and encouragement perceived by patients (33, 35, 37). These findings underscore the importance of providers enthusiastically endorsing and recommending appropriate cancer screening tests. The effect of provider enthusiasm and encouragement has demonstrated great potential for improved screening adherence and should receive further study. Other communication techniques that correlated with positive screening adherence were addressing patient barriers and clearly and thoroughly explaining screening procedures. Interestingly, providers’ use of persuasion techniques alone was not significantly associated with CRC screening adherence, although such techniques have not yet been studied in combination with other measures of quality of communication during screening discussions (38).

Despite preliminary insight found in the communication quality literature, the included studies varied greatly in the aspects of the interaction were studied, and do not systematically further the body of knowledge on what features of patient-provider communication most strongly correlate with screening adherence. In particular, only four of the analyses (13, 34, 36, 37) in the communication quality studies examined patient engagement measures central to shared decision making (SDM), which is essential to a patient-centered approach to medical care (43). SDM is thought to be strongly correlated with positive health-related outcomes for patients, although few studies have explicitly attempted to relate participation and health outcomes using validated instruments (44, 45). The findings in this review suggest positive correlations between SDM measurements and screening adherence, although SDM was measured in a variety of ways across the studies.

However, one study from a Veterans Administration (VA) clinic (34) found that some components of SDM were negatively correlated with screening adherence, including discussing pros and cons, and eliciting patient preferences. One explanation for this finding could be that patients who were more resistive to screening may have received more detailed persuasive screening discussions. Most research on SDM has occurred in the context of diagnosis and treatment decisions (46). Future research should continue to evaluate the impact and nuances of shared decision-making such as screening adherence.

There is also some evidence that the quality of communication cancer screening decisions may be influenced by providers’ own biases and expectations about a patient’s likely adherence, as has been suggested in other clinical contexts (47, 48). Continuing to conduct more research about quality of communication in low-literacy or underserved populations, and trying to better understand how these biases impact communication would be a useful avenue for future research.

The intervention studies give insight as to the most effective tools for improving the content and quality of provider recommendations. Formal communication skills training and education was a successful tool for improving both provider recommendations and patient screening in several articles. The use of standardized patients for training was not associated with increased screenings for two of the three cancer types studied, but this data should be interpreted with caution, as only one included article utilized standardized patients.

For the articles overall, there seemed to be a shift in the literature, with more recent articles focusing primarily on colorectal cancer screening. For the years 2013–2016, 13 of the 18 findings included in the review examined colorectal cancer screening. One possible explanation for this shift is that recommendations for breast cancer and cervical screening have become controversial in recent years (49) while colorectal cancer screening has become more accepted and utilized (50). Within the last decade, there have been programs introduced to increase colorectal cancer screening, as it has historically lagged behind rates for other types of cancer screening (51). These efforts to increase colorectal cancer screening may have contributed to the relative increased publication rates regarding patient-provider communication for colorectal cancer screening as compared to publications for screening for other cancers, as found in this review.

The implications of SDM in cancer screening discussions may continue to be more pronounced as cancer screening decisions grow more complex (52) and personalized (53). Clinical discussions about cancer screening may include issues related to the potential harms of screening, choosing between multiple options for screening (e.g., sigmoidoscopy, colonoscopy, FOBT, or FIT for CRC screening) (54), and personalized risk factors (53). For example, the recent controversy and uncertainty over breast cancer screening highlights the need for more studies examining the quality of communication in provider-patient consultations about screening when the guidelines are complicated and controversial (5557). In such cases, Sepucha suggests that adherence alone may not be the best outcome measure because it does not necessarily consider the needs, values and expressed preferences of the patient (58). Instead, researchers may want to examine outcomes such as satisfaction with decision (59), decisional conflict (60), and the extent to which patients are informed and receive screening tests that fulfill their goals (54).

There are limitations to the body of research reviewed here. As discussed earlier, most of the articles relied on patient self-report to report adherence outcome measures. Previous work has suggested that self-report measures may be inaccurate (61). When possible, future studies should include chart review to replace or corroborate self-report items. Another limitation of the body of research was inconsistent or missing operationalization measures. Some studies operationalized adherence as being within a certain amount of time (e.g., 1 year), with others framing adherence as being “on schedule” (depending on guidelines at the time of article publication and as described in articles). Still other studies considered “ever” having been screened as being adherent (e.g., (62)). Additionally, it may be that the positive findings are overstated due to publication bias. Lastly, as the provider-patient communication literature on lung cancer screening matures, these findings should be reviewed and compared with the literature from breast, cervical and colorectal cancer screening.

This systematic review has reinforced the importance of provider-patient communication in individuals’ adherence to leading cancer screening guidelines and provides a foundation for future work. As research in this area becomes more sophisticated, it is our hope that important elements of the quality of provider communication can be better identified in order to improve cancer screening adherence.

Acknowledgments

This publication was supported in part by the National Institutes of Health (NIH K07 CA140778 (PI: Bylund)). Its contents are solely the responsibility of the authors and do not necessarily reflect the official views of the National Institutes of Health. Conflicts of interest: none.

Footnotes

2

The U.S. Preventive Services Task Force is currently finalizing new colorectal cancer screening recommendations.

Contributor Information

Emily B. Peterson, George Mason University, 4400 University Drive, MSN 3D6, Fairfax VA 22031.

Jamie S. Ostroff, Memorial Sloan Kettering Cancer Center, 641 Lexington Ave, 7th Floor, New York, NY 10022

Katherine N. DuHamel, Memorial Sloan Kettering Cancer Center, 641 Lexington Ave, 7th Floor, New York, NY 10022

Thomas A. D’Agostino, Memorial Sloan Kettering Cancer Center, 641 Lexington Ave, 7th Floor, New York, NY 10022

Marisol Hernandez, Memorial Sloan Kettering Cancer Center, 641 Lexington Ave, 7th Floor, New York, NY 10022.

Mollie R. Canzona, Wake Forest University, P.O. Box 7347, Winston-Salem, NC 27109

Carma L. Bylund, Hamad Medical Corporation, Doha, Qatar

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