Abstract
Background:
Improving uptake of colorectal cancer screening has the potential of saving thousands of lives at minimal cost. We compared the effectiveness of automated and live prompts and reminders as part of a mailed fecal immunochemical test (FIT) outreach program.
Design and Methods:
Participants were 1,767 adults aged 50 – 75 who were not up-to-date with colorectal cancer screening recommendations at a participating community health center clinic. In addition to a mailed FIT kit, participants were randomized to receive: (1) a text message prompt and two automated phone call reminders (automated condition); (2) up to three live call reminders (live condition); or (3) a text message prompt, two automated call reminders, and up to three live reminders (combined automated plus live condition). We assessed FIT completion rates in each group 6 months following randomization.
Key Results:
Nearly one-third of participants completed an FIT within 6 months. Compared to adults allocated to the automated condition, FIT completion rates were higher in adults allocated to the live condition (32.3% vs. 26.0%; adjusted Difference = 6.3 percentage points, 95% CI [1.1 – 11.4]), and in adults allocated to the combined automated plus live condition (35.7% vs. 26.0%; adjusted Difference = 9.7 percentage points, 95% CI [4.4 −14.9]). The number of kits needed to mail to achieve a completed FIT ranged from 2.8 in the combined automated plus live condition to 3.8 in the automated condition.
Conclusions:
Live phone call reminders either alone or in combination with automated prompts and reminders outperformed automated approaches alone.
Trial Registration:
National Clinical Trial (NCT) Identifier NCT03167125
Keywords: Colorectal cancer screening
Introduction
Screening for colorectal cancer (CRC) can substantially reduce CRC incidence and mortality. 1,2 Sixty percent of the 50,000 annual deaths from CRC could be averted with routine screening. 3 Unfortunately, screening rates are suboptimal in the general population, and especially low in community health centers. Uniform Data Systems data from 2016 show that only 40% of eligible adults in community health centers were up-to-date with CRC screening recommendations.4 Mailed fecal immunochemical test (FIT) outreach programs have been shown to improve CRC screening rates in community health centers,5–11 with absolute improvements ranging from 22% – 45%.5–11 Typically, these programs send patients prompts (before the kit is received) and/or reminders (after the kit is received) in the form of letters, telephone calls, or text messages in addition to sending information along with the mailed FIT kit.5,6,10–13 These prompts and reminders are assumed to motivate patients to complete the FIT, thus increasing response rates and program efficacy. However, despite the widespread use of prompts and reminders for mailed FIT outreach programs, data is sparse on how these communications influence FIT completion rates.
Data from our previous work compared reminder letters to automated and live phone calls and text messages delivered after community health center patients had received an FIT kit in the mail. We found a 50% higher FIT completion rate among patients who received a live phone call reminder, compared to a reminder letter (OR = 1.51 [1.03 – 2.21]), but no significant benefit for automated reminder calls or text messages.14 We also found that the effectiveness of a given reminder varied by patients’ language preference: while the live phone call condition was the most effective for patients who preferred English, patients who preferred Spanish were most likely to return their FIT when presented with the combination of automated plus live phone calls. While this work suggests that patients respond better to phone calls than reminder letters after being mailed an FIT kit, the study did not send patients any prompts before the FIT kit was received. Further, the content of reminder messages was chosen by researchers without input from patient populations.
The present study compares the effectiveness of combinations of prompts and reminders to a mailed FIT outreach program administered in two clinics operated by a large, Los Angeles -based community health center. Prompt and reminder content were developed and refined by patient stakeholders using a validated engagement process, boot camp translation (see companion article).15 We also assessed how the effects of the prompts and reminders varied across patient demographic characteristics and health care use patterns. The results of this pilot study will inform future efforts to optimize FIT return rates for mailed outreach programs.
Methods
Study Setting
The pilot study was conducted at two clinics within a large Los Angeles- and Orange County-based community health center that operates 25 medical clinics and served more than 270,000 patients in 2017, including 22,705 between the ages of 50 – 75. The clinics were chosen in partnership with clinic staff, with the goal of selecting a representative clinic in each county and having enough patients to enroll in the pilot study. Over 97% of health center patients aged 50–75 preferred speaking English or Spanish. The health center screened 67% of all eligible patients for CRC in 2017. The proportion uninsured was 18.0%. The health center has near-complete capture of FIT events in the EHR as FIT results are transferred from the reference laboratory through a direct electronic interface. The health center engages in various efforts to promote the use of FIT among clinic patients. These include routine FIT distribution during office visits, videos in waiting rooms, and a mailed FIT program that involves live telephone call reminders delivered by clinic medical assistants.
The findings of this pilot study will inform the design of the main trial which will test the implementation and effectiveness of an optimized mailed FIT and reminder intervention across 15 health center clinics. All procedures and intervention materials were reviewed and approved by the Institutional Review Board of Kaiser Permanente Northwest, with ceding agreements from the health center and Oregon Health & Science University. The study obtained a waiver of informed consent, given the minimal risk posed to patients.
Development and Content of Prompts and Reminders
We used boot camp translation,16 a well-validated patient engagement approach, to develop the content and select the format of prompts and reminders for this study. The study’s boot camp translation methods have been reported previously (See companion article Thompson et al. JABFM 18–0026).15,17 Briefly, we recruited 25 patients and 4 clinic staff to participate two parallel boot camp translation programs, one in English and one in Spanish. Each program included a six-hour in-person session that consisted of an expert presentation and interactive large- and small- group activities aimed at developing initial drafts of outreach materials, and three 30 to 45-minute group conference calls facilitated by a member of the project team. The goal of the conference calls was to solicit patient feedback on draft program outreach materials designed based on the in-person sessions. The materials included a text message, an introductory letter, a one-page pictographic educational fact sheet, and automated and live reminder phone call scripts. The sessions and conference calls were held over three months (May 12 – July 12, 2017).
All materials were developed in English and Spanish. The FIT kit packet contained an introductory letter, a one-page pictographic educational sheet, an FIT kit, written instructions (in English and Spanish) on how to complete the kit, and a postage-paid envelope for returning the kit to the health center’s contracted laboratory. The introductory letter explained the importance of CRC screening, stated that testing was free, and emphasized the importance of completing the test. The one-page pictographic educational sheet provided information about the importance of CRC and the need for screening. The text message prompt informed recipients that they would be mailed an FIT and provided the clinic number to call if they had questions. Scripts for the live call included sample dialogue and responses to commonly asked questions. All materials were reviewed by bilingual staff. The FIT used was InSure (Clinical Genomics; Bridgewater, NJ), a two-specimen FIT that requires no dietary restrictions.
Study Procedures
Centralized clinic outreach staff used a list of electronic health record (EHR) codes (e.g. diagnoses codes, procedure codes, and laboratory codes) from previous studies,18 to identify adults who were overdue for CRC screening and had attended at least two clinic visits within the past 24 months.19 A total of 3,201 adults in the two participating clinics met the criteria. Using this list, clinic staff removed 1,218 individuals whose insurance status could not be validated and their patient (‘enrollment’) status could not be confirmed (n=990), had an invalid address (n=107) or were otherwise ineligible, e.g. had a total colectomy, colorectal cancer, etc. (n=147; note that reasons were not mutually exclusive). Of the remaining 1,983 patients, 216 were mailed an FIT but not sent any prompts or reminders because they were on the ‘do not contact’ list (patients can opt to be added to this list during any telephone or in-person conversation with clinic staff). This left 1,767 adults (678 from clinic A and 1,089 from clinic B) who were randomized into the three study conditions (n = 589 per arm). Randomization was stratified by clinic.
Intervention conditions
This study included three conditions, providing (1) automated, (2) live, and (3) combined automated plus live prompts and reminders as part of a mailed FIT outreach program. Patients in all three conditions were mailed an FIT kit with an introductory letter and one-page educational sheet on 7/5/2017.
Patients in the automated condition were sent a text message prompt on 7/8/2017 (before the patient was expected to receive the kit) and two automated phone call reminders were delivered on 9/13/17 and 9/15/17. Automated phone calls and text messages were delivered in English or Spanish (depending the patients’ language indicated in the EHR), between the hours of 10:00am and 9:00pm Monday through Friday. The automated call reminded patients to complete the colon health test they were sent and invited patients to press “0” to be transferred immediately to speak to a staff member at the health center’s Patient Contact Center. Texts and automated calls were sent by a contracted vendor (Stericycle Communication Solutions); the outgoing phone number was a toll-free 888 number.
Patients in the live condition received up to three live phone call reminder attempts delivered by centralized clinic outreach staff between 9/19/17 and 10/20/17, using a patient list that had been refreshed weekly from 9/18/17 through 10/16/17 to remove patients who had completed their FIT and needed no further reminders. Outreach staff were bilingual in English and Spanish, and interpreter services were available for patients who spoke other languages. Live calls were made between the hours of 8:00 am and 5:00 pm Monday through Friday to the contact phone number in the patients’ EHR. Patients who were left a voicemail received subsequent reminder attempts (up to three); patients who were reached in-person or whose contact information was incorrect received no further reminder attempts. The outgoing phone number was a local clinic number.
Patients in the combined condition received the text message prompt on 7/8/2017, two automated phone calls and up to three live phone call reminders, delivered on the same schedule as the automated condition and live condition (described above).
The intervention was not delivered as intended for a small subset of patients; 42 (of 589) patients allocated to the automated condition were delivered automated plus live call reminders by clinic staff. However, in accordance with intention-to-treat principles, these participants remained in the group they were originally assigned.
Statistical Analysis
We describe the demographic characteristics of all randomized patients across each intervention condition and the percentage of FIT kits completed within 6 months of randomization. To identify how completion rates varied by patient characteristics, we used Wald tests and multi-variable logistic regression to assess bivariate and multivariate associations between FIT completion and patient sociodemographic characteristics (age, gender, ethnicity, language, insurance status, clinic) and health care use information (number of clinic visits in the past year, number of no-shows in the past year, prior fecal testing).
Our primary intention-to-treat analysis compared FIT completion rates across treatment conditions using multiple logistic regression, with FIT completion as the dependent variable, treatment condition as the independent variable (dummy coded with the automated arm as the reference group), and site (clinic A or clinic B) as a covariate. We calculated reach as the proportion of patients who received a given prompt or reminder that they were randomized to receive (e.g. text message was successfully sent, automated phone call was delivered, a live phone call conversation took place, or a message was left). Using these data, we performed two types of per-protocol analysis. The first performed the same comparisons as the primary outcome analysis and was limited to patients who received all steps in the intervention as intended (e.g. received text message, automated phone calls, and live phone call). A second per-protocol analysis assessed return rates based on whether patients received a given prompt or reminder. For this second analysis of live calls, we excluded patients who completed an FIT and did not need a live call reminder. We also assessed the number of kits needed to mail to achieve a completed FIT for each arm.
Finally, we examined whether preferred language (English or Spanish, or other), presence of a clinic visit in past year (no visits or 1 or more visits), and history of an FIT (never had a FIT or had at least 1 FIT in the past) modified the treatment effect by performing additional multiple logistic regressions including the product of each condition vector and the moderator variable (separate regressions for language, presence of a clinic visit, and history of an FIT). To assess the impact on our findings of the 42 patients assigned the automated outreach who were mistakenly delivered automated plus live outreach, we conducted a sensitivity analysis excluding those patients.
Results
A total of 1,767 patients were randomized to the three intervention conditions (n = 589 per arm, Figure 1). Randomized patients had a mean age of 59 years (standard deviation = 5.7) and 57% were female (Table 1). Latinos represented 83% of the sample. Most patients preferred speaking Spanish (59%) and were insured by Medicaid/Medicare (57%); on average, they had visited the clinic 3 times in the past year (standard deviation = 3.1). Nearly two-thirds no-showed for a clinic visit in the past year and one-half had EHR evidence of having ever completed a prior FIT. Patients in Clinic A and Clinic B were similar in demographic and health care use characteristics.
Figure 1.
CONSORT Diagram
Table 1.
Baseline electronic health record-derived demographic and healthcare use characteristics of selected adults due for colorectal cancer screening (n = 1,767) who attended at least 2 clinic visits in the past 24 months, intention-to-treat analysis sample
| Randomized Patients in Clinic A and Clinic B | |||
|---|---|---|---|
| Clinic A (n = 678) | Clinic B (n = 1089) | Total (n=1767) | |
| N (%) | N (%) | N (%) | |
| Age* | |||
| Mean (SD) | 58.6 (5.9) | 58.6 (5.5) | 58.6 (5.7) |
| 50–64 | 558 (82.3) | 939 (86.2) | 1497 (84.7) |
| 65–74 | 113 (16.7) | 145 (13.3) | 258 (14.6) |
| Gender † | |||
| Female | 385 (56.8) | 620 (56.9) | 1005 (56.9) |
| Male | 292 (43.1) | 469 (43.1) | 761 (43.1) |
| Ethnicity ‡ | |||
| Non-Hispanic/Latino | 163 (24.0) | 111 (10.2) | 274 (15.5) |
| Hispanic/ Latino | 506 (74.6) | 966 (88.7) | 1472 (83.3) |
| Language § | |||
| English | 223 (32.9) | 458 (42.1) | 681 (38.5) |
| Spanish | 438 (64.6) | 611 (56.1) | 1049 (59.4) |
| Other | 16 (2.4) | 18 (1.7) | 34 (1.9) |
| Insurance Status | |||
| Medicaid/ Medicare | 336 (49.6) | 677 (62.2) | 1013 (57.3) |
| Uninsured | 214 (31.6) | 215 (19.7) | 429 (24.3) |
| Commercial | 128 (18.9) | 197 (18.1) | 325 (18.4) |
| Clinic visits in past year | |||
| Mean (SD) | 3.0 (2.8) | 3.0 (3.3) | 3.0 (3.1) |
| No visits | 133 (19.6) | 221 (20.3) | 354 (20.0) |
| At least 1 visit | 545 (80.4) | 868 (79.7) | 1413 (80.0) |
| No show in past year | |||
| No | 269 (39.7) | 330 (30.3) | 599 (33.9) |
| Yes | 409 (60.3) | 759 (69.7) | 1168 (66.1) |
| Prior fecal testing | |||
| Never | 356 (52.5) | 518 (47.6) | 874 (49.5) |
| Ever | 322 (47.5) | 571 (52.4) | 893 (50.5) |
| Randomization arm | |||
| Automated | 226 (33.3) | 363 (33.3) | 589 (33.3) |
| Live | 226 (33.3) | 363 (33.3) | 589 (33.3) |
| Automated plus Live | 226 (33.3) | 363 (33.3) | 589 (33.3) |
12 values were missing (7 in Clinic A; 5 in Clinic B)
1 value was missing in Clinic A
21 values were ‘other’ or missing (9 in Clinic A; 12 in Clinic B)
3 values were missing (1 in Clinic A; 2 in Clinic B)
Overall, 553 patients completed their FIT, for a return rate of 31.3%. Crude FIT completion rates were 26.0% in the automated condition, 32.3% in the live condition, and 35.7% in the automated plus live condition (Table 2). Controlling for clinic, adults allocated to the live condition had a significantly higher FIT completion rate than those in the automated condition (32.3% vs. 26.0%; adjusted Difference = 6.3 percentage points, 95% CI [1.1 – 11.4]), as did adults allocated to the combined automated plus live condition (35.7% vs. 26.0%; adjusted Difference = 9.7 percentage points, 95% CI [4.4 −14.9]). Adjusted differences increased in per-protocol analysis for both comparisons: live versus automated (36.3% vs. 29.3%; adjusted difference = 6.9 percentage points, 95% CI [.6 −13.4]), and combined automated plus live versus automated (41.4% vs. 29.3%; adjusted difference (12.1 percentage points, 95% CI [4.9 – 19.2]). The number of kits needed to mail to achieve a completed FIT ranged from 2.8 in the combined automated plus live condition to 3.8 in the automated condition.
Table 2:
Fecal immunochemical test (FIT) completion across study arms, intention-to-treat analysis using electronic health record data obtained six-months following randomization
| FIT completion rates | Adjusted difference in proportions* | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Automated (A) | Live (B) | Automated plus Live (C) | B vs. A | C vs. A | C vs. B | ||||
| N | % completed FIT (95% CI) | N | % completed FIT (95% CI) | N | % completed FIT (95% CI) | Adjusted difference (95% CI) | Adjusted difference (95% CI) | Adjusted difference (95% CI) | |
| Intention-to-treat | 589 | 26.0 (22.4, 29.5) | 589 | 32.3 (28.5, 36.0) | 589 | 35.7 (31.8, 39.5) | 6.3 (1.1, 11.4) | 9.7 (4.4, 14.9) | 3.4 (− 2.0, 8.8) |
| Per-protocol † | 348 | 29.3 (24.5, 34.1) | 487 | 36.3 (32.1, 40.6) | 326 | 41.4 (36.0, 46.8) | 6.9 (0.6, 13.4) | 12.1 (4.9, 19.2) | 5.1 (−1.8, 11.9) |
Adjusted for clinic
Per-protocol: Automated: successful delivery of text message and at least 1 automated phone call; Live: successful delivery of at least 1 live phone call (left message or spoke to patient); Automated plus live: successful delivery of text messages, at least 1 automated phone call, and at least 1 live phone call (left message or spoke to patient).
Reach was highest for text messages (80% in the automated condition; 81% in the automated plus live condition) and automated calls (74% in the automated condition; 77% in the automated plus live condition), and lower for live calls (51% in the live condition; 55% in the automated plus live condition) (Table 3). Among the 888 adults reached via an automated phone call (n=436 in the automated condition and n=452 in the automated plus live condition), 16.9% were reached in-person; among the 624 reached via a live call (n=324 in the live arm and n=300 in the automated plus live arm), 67.8% were reached in-person. Notably, our assessment of reach for automated calls and text messages relied on vendor tracking information, which could not confirm that an automated phone message was delivered to the intended recipients or whether a given phone enabled text-message functions. In analyses of the intervention components, FIT completion proportions were similar among patients who did and did not receive the text message prompt (26% vs. 25%, p = .70 in the automated condition; 35% vs. 37%, p = .69 in the automated plus live condition), but were significantly higher for patients who received the automated phone call reminder versus not (28% vs. 17%, p = .01 in the automated condition; 38% vs. 24%, p < .01 for the automated plus live condition) or live phone call reminder versus not (22% vs. 13%, p = .05, for the live condition; 22% vs. 9%.p < .01 for the automated plus live condition). FIT completion rates were higher for phone calls that were answered in-person versus by machine (47% vs. 30% for automated calls; 29% vs. 10% for live calls; data not shown). Reach was similar across clinics (text message: Clinic A: 81%; Clinic B: 81%; automated calls: Clinic A: 75%; Clinic B 76%; live calls: Clinic A: 52%; Clinic B: 54%).
Table 3.
Intervention components received and their association with FIT completion
| Randomization condition | Reach | FIT completion | P value * |
|---|---|---|---|
| N (%) | % | ||
| Condition 1: Automated † | |||
| Text message prompt § | .70 | ||
| Completed | 471 (80.0) | 26.3 | |
| Not completed | 118 (20.0) | 24.6 | |
| Automated phone call reminders | <.01 | ||
| Answered in-person | 78 (13.2) | 39.7 | |
| Answered by machine | 358 (60.8) | 25.7 | |
| Not completed | 128 (21.7) | 17.2 | |
| No call needed | 25 (NA) | NA | |
| Condition 2: Live phone call | |||
| Live Phone Call reminders | <.01 | ||
| Answered in-person | 208 (35.3) | 29.3 | |
| Answered by machine | 116 (19.7) | 7.8 | |
| Not completed | 101 (17.1) | 12.9 | |
| No call needed | 164 (NA) | NA | |
| Condition 3: Automated plus live phone call | |||
| Text message prompt § | .69 | ||
| Completed | 479 (81.3) | 35.3 | |
| Not completed | 110 (18.7) | 37.3 | |
| Automated phone call reminders | <.01 | ||
| Answered in-person | 72 (12.2) | 55.6 | |
| Answered by machine | 380 (64.5) | 35.0 | |
| Not completed | 116 (19.7) | 24.1 | |
| No call needed | 21 (NA) | NA | |
| Live phone call reminders | <.01 | ||
| Answered in-person | 176 (29.9) | 28.4 | |
| Answered by machine | 124 (21.1) | 12.1 | |
| Not completed | 105 (17.1) | 8.6 | |
| No call needed | 184 (NA) | NA |
p-value based on likelihood ratio chi-square test.
42 patients in the automated arm inadvertently received live call reminders (completed in 2–3 weeks).
patients were considered reached if the text message was sent.
In bivariate comparisons, patient demographic and health care use characteristics associated with FIT completion were: preferred language (Spanish 35.2% vs. English 25.4%; OR = 1.59 (1.29, 1.97)); clinic visits in the past year (At least one visit: 33.8% vs. No visits: 21.2%; OR = 1.90 (1.44, 2.51)); and prior FIT testing (Yes: 45.1% vs. No: 17.2%; OR = 3.97 (3.19, 4.95) (Table 4). These variables remained significant in multivariable-adjusted models. No significant interactions were observed between treatment conditions and language, number of clinic visits, or prior FIT testing.
Table 4.
Associations among demographic and healthcare use characteristics and FIT completion, intention-to-treat analysis
| FIT completion | Unadjusted OR (95% CI) | Multi-variable Adjusted* OR (95% CI) | |
|---|---|---|---|
| Age | % | ||
| 50–64 | 30.4 | Ref | Ref |
| 65–74 | 35.7 | 1.27 (.96, 1.68) | .99 (.73, 1.34) |
| Gender | |||
| Female | 32.9 | Ref | Ref |
| Male | 29.2 | 1.19 (.97, 1.46) | 1.04 (.83, 1.29) |
| Ethnicity | |||
| Non-Hispanic / Latino | 28.5 | Ref | Ref |
| Hispanic / Latino | 31.9 | 1.18 (.89, 1.57) | .76 (.53, 1.09) |
| Language | |||
| English | 25.4 | Ref | Ref |
| Spanish | 35.2 | 1.59 (1.29, 1.97) | 1.39 (1.07, 1.82) |
| Other | 29.4 | 1.22 (.57, 2.61) | 1.18 (.50, 2.81) |
| Insurance | |||
| Medicaid/Medicare | 32.7 | Ref | Ref |
| Uninsured | 29.1 | .85 (.66, 1.08) | .76 (.58, 1.00) |
| Commercial | 29.8 | .88 (.67, 1.15) | .841 (.63, 1.13) |
| Clinic visits in past year | |||
| No visits | 21.2 | Ref | Ref |
| At least one visit | 33.8 | 1.90 (1.44, 2.51) | 1.67 (1.22, 2.30) |
| No shows in past year | |||
| No | 29.0 | Ref | Ref |
| Yes | 32.4 | 1.17 (.94, 1.45) | .91 (.71, 1.17) |
| Prior fecal testing | |||
| Never | 17.2 | Ref | Ref |
| Ever | 45.1 | 3.97 (3.19, 4.95) | 3.82 (3.04, 4.81) |
| Clinic | |||
| Pico Clinic | 32.2 | Ref | Ref |
| Garden Grove Harbor | 29.8 | .89 (.73, 1.10) | .91 (.73, 1.15) |
Adjusted for all other variables in the model.
When we examined FIT completion rates in the automated condition with and without the 42 patients who were mistakenly delivered a live phone call reminder, we found a 26% completion rate with the patients included and a 27% completion rate without, suggesting that this error had negligible impact.
Discussion
Our mailed FIT outreach intervention was designed with input from patients and clinicians, using boot camp translation (See companion article, Thompson et al. JABFM 18–0026).17 We found that delivering live telephone reminders after sending a mailed FIT, alone or in combination with text message prompts and automated telephone call reminders, can increase response rates by 6–9 percentage points compared to text message prompts and automated calls without a live phone component in a large, urban, primarily Latino-serving community health center. Overall, FIT completion rates were higher in patients whose preferred language was Spanish (vs. English), who had one or more clinic visits in the past year (vs. none) and who had completed a prior FIT (vs. never completed an FIT). Our findings support the use of multiple touchpoints, including live phone reminders, to optimize FIT kit return rates in mailed outreach programs, and may inform efforts to tailor outreach approaches to population subgroups.
Consistent with our previous research and that of others,7,14 we observed that patients who preferred speaking Spanish had a higher FIT completion rate than patients who preferred speaking English. This may reflect Latino patients’ greater willingness to follow provider recommendations, a tendency noted in previous research.20,21 However, these results stand in contrast to those of Baker and colleagues, who reported no differences in the effectiveness of the direct-mail and reminder intervention based on race/ethnicity or preferred language.5 Nevertheless, Bakers’ study of 450 adults included relatively few English speakers (72; 16%) and non-Latino whites (54; 12%), limiting the power to make such comparisons. We also observed that patients who had one or more clinic visit in the past year had a higher FIT completion rate than those with fewer clinic visits. Patient visits provide an opportunity for providers to recommend CRC screening, and patients with more visits may be more likely to receive such a recommendation. This finding underscores the importance of provider recommendation and/or engagement in promoting uptake of CRC screening, as observed in previous reports.20,22,23 Such recommendations may be particularly needed for Latino patients, who are reported to receive fewer in-clinic screening recommendations than their non-Latino white counterparts. 21 Finally, patients who had previously completed an FIT were far more likely to return their FIT than patients who had never completed one. High rates of repeat FIT testing are well-established in the literature;12,24 our findings demonstrate the particular need to address barriers to CRC screening in the never screened subgroup.
In analysis that examined FIT completion rates in patients who did and did not receive a given intervention component, we found significantly higher FIT completion rates in patients who received the automated call or live phone call, but no difference in completion rates among patients who did and did not receive a text message. We previously reported that text message reminders led to lower FIT completion rates than reminder letters in a community health center population in Washington state (17% vs. 24%; OR .66; 95% CI (.43 - .99)).14 Similarly, Baker and colleagues reported no difference in mailed FIT return rates among patients who did and did not receive a text message prompt or reminder, suggesting minimal influence from this approach.5
Reach for prompts and reminders ranged from 51% for live calls to 81% for text messages. Our reach for text messages was slightly higher than the 51 – 78% reported in previous studies conducted in community health centers published from 2012 through 2018,5,6,10,11,14 likely reflecting increased acceptance of use of text messaging in the 50 and older age group. Reach of automated phone calls and live phone calls were similar to those reported in previous studies.5,6,25,26 Our participating health center has access to patient contact information from the EHR and from Medicaid Health Plans for patients enrolled in Medicaid, which may have improved the accuracy of contact information and reach of the outreach approaches we used. Nevertheless, our findings underscore the importance of maintaining updated patient contact information for optimal program delivery.
Efforts to optimize FIT completion rates might consider tailoring their approaches to address the needs of the patient subgroups found to have a relatively low response to mailed FIT outreach and reminders. Patients who have never completed an FIT or who haven’t had a recent clinic visit may benefit from an in-person or phone-based discussions about the importance of CRC and the need for screening. Nevertheless, such tailoring needs to be weighed against the ease of implementing the program as well as the cost. Published costs for reminders in cancer screening programs have been reported in relatively few previous studies and most studies have been conducted in integrated care settings. Nevertheless, reported costs (not inflation-adjusted for differential timing) have ranged from $0.41 - $0.50 per live call 27,28, $0.54 per recipient for up to 4 automated calls 28,29, and $0.12 per text message.30
To boost screening in the group that has never completed an FIT, our main trial will test live phone call prompts delivered before an FIT is mailed. Nevertheless, to complement centralized outreach efforts, innovations in how kits are distributed at the point-of-care may be needed. Such point-of-care efforts can complement mailed outreach approaches 31; yet, more research is needed on the additive value of multi-level interventions.
Strengths and limitations
Our study had several strengths, including its large and diverse sample size, randomized design, and the near-complete capture of FIT events and demographic characteristics in the EHR. The delivery of live reminders by bilingual (English and Spanish) clinic staff optimized the consistency of intervention delivery among those whose preferred language was English or Spanish, the predominant languages spoken by patients in our partnering health center. In addition to our study’s strengths, we did have several limitations. Some aspects of our available data limited our ability to know whether a patient received the prompt or reminder: automated phone messages can be delivered to unintended recipients and we could not be certain that phones enabled text-message functions. We were limited to the data available from the vendor and have no way of knowing the magnitude of these misclassifications. Moreover, 42 patients in the automated call arm inadvertently also received a live phone call reminder. However, our sensitivity analysis showed that this error had no measurable influence on our findings. Our findings may have limited generalizability, as features at the patient- level (i.e. demographic characteristics, cell phone use patterns) and health-center-level (in-clinic FIT promotion efforts) may be unique to this health center. Our study took place when the health center was using a two-sample FIT test (before the newer one-sample version became available), and it is likely that a one-sample test would achieve higher return rates. Nevertheless, our primary goal was to compare the effectiveness of various mailed FIT reminders and prompts; our comparisons would likely be non-differentially impacted by a test conversion. Finally, our analysis assessed FIT completion in a single year; we did not evaluate downstream aspects of screening and follow-up (e.g., repeat FIT testing, follow-up colonoscopy).
Conclusion
Our findings showed that using live phone call reminders or a combination of automated text prompts and calls and live phone reminders resulted in a higher FIT completion rates than using automated prompts and reminders alone. Further, the overall return rate differs according to patient language preference, number of clinic visits in the past year, and prior use of FIT. Efforts to optimize FIT completion rates might consider tailoring their approaches to address the needs of these patient subgroups.
Acknowledgements
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Health. The National Institutes of Health had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Funding: Research reported in this publication was supported by the National Institutes of Health National Institute of Minority Health and Health Disparities through award number U01MD010665.
Footnotes
Conflicts of Interest
From November 2014 – August 2015, Dr. Coronado served as a co-Investigator on an industry-funded study to evaluate patient adherence to an experimental blood test for colorectal cancer. The study was funded by EpiGenomics. From September 2017 – June 2019, Dr. Coronado has served as the Principal Investigator on an industry funded study to compare the clinical performance of an experimental FIT to an FDA-approved FIT. This study is funded by Quidel Corporation. All other authors declare no conflicts of interest.
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