Original Paper
Abstract
Background: Appropriate annual screenings for colorectal cancer (CRC) are an essential preventive measure for the second-leading cause of cancer-related death in the United States. Studies have shown that CRC screening rates are influenced by various social determinants of health (SDOH) factors, including race, ethnicity, and geography. According to 2018 national data, participation in screening is lowest among Hispanic or Latinx individuals (56.1%). At an urban Federally Qualified Health Center, a quality improvement project was conducted to evaluate a texting program with a motivational fotonovela—a short narrative comic. Fotonovelas have previously been used in programs to improve knowledge of cervical cancer and human papillomavirus, vaccinations, and treatments for depression.
Objective: This study aimed to encourage compliance with fecal immunochemical test (FIT) screening. Patient engagement involved a texting program with fotonovelas informed by behavior change techniques. This study sought to understand the qualitative characteristics of patient motivation, intention, and barriers to completing their screening.
Methods: A total of 5241 English-speaking or Spanish-speaking Federally Qualified Health Center patients aged 50 to 75 years were randomized to either intervention (a 4-week tailored 2-way texting program with a fotonovela comic) or usual care (an SMS text message reminder and patient navigator phone call). The texting vendor used a proprietary algorithm to categorize patients in the intervention group into SDOH bands based on their home addresses (high impact=high social needs and low impact=low social needs). Over 4 weeks, patients were texted questions about receiving and returning their FIT, what barriers they may be experiencing, and their thoughts about the fotonovela.
Results: The SDOH index analysis showed that most of the patient population was in the SDOH band categories of high impact (555/2597, 21.37%) and very high impact (1416/2597, 54.52%). Patients sent 1969 total responses to the texting system. Thematic analysis identified 3 major themes in these responses: messages as a reminder, where patients reported that they were motivated to return the FIT and had already done so or would do so as soon as possible; increasing patients’ understanding of screening importance, where patients expressed an increased knowledge about the purpose and importance of the FIT; and expressing barriers, where patients shared reasons for not completing the FIT.
Conclusions: The texting program and fotonovela engaged a subset of patients in each SDOH band, including the high and very high impact bands. Creating culturally tailored messages can encourage patient engagement for accepting the content of the messaging, confirming intentions to complete their FIT, and sharing insights about barriers to behavior change. To better support all patients across the continuum of care with CRC screening, it is important to continue to develop and assess strategies that engage patients who did not return their home-mailed FIT.
doi:10.2196/43024
Keywords
Introduction
Background
Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths in the United States, accounting for an estimated 53,200 deaths in 2020 [
]. CRC is mostly preventable with appropriate screening and can be treated successfully (5-year survival rate of approximately 90%) when found at early stages [ ]. Fecal immunochemical test (FIT) is a screening tool for CRC, which has shown promise in increasing screening and early detection rates [ ].Social Determinants of Health and CRC Screening
Studies have shown that CRC screening rates are influenced by various sociodemographic factors, such as race and ethnicity, socioeconomic status (SES), and geography [
]. According to 2018 national data, participation in screening is lowest among Hispanic or Latinx individuals (56.1%), followed in order by American Indian or Alaska Native (62.1%), Asian and Pacific Islander (64.8%), Black (70%), and White (71%) individuals [ ]. Among Hispanic or Latinx individuals, factors that affect screening rates include SES, language barriers, health literacy, education, undocumented status, lack of insurance, and limited access to health care services [ ]. According to the Wisconsin County Health Rankings surveys, socioeconomic factors of education, income, and social disruption are 40% of the factors that influence health determinants [ ], which underscores their contribution to health outcomes.Specifically regarding SES, higher screening rates are seen in those with higher income [
]. In California, the 2018 Behavioral Risk Factor Surveillance System reported that 74% of insured residents completed CRC screening compared with 45% of uninsured residents [ ]. Although factors such as SES can be confounded by race and ethnicity, studies show that these remain as factors even when controlling for SES effects in screening rates by race and ethnicity [ ].Use of Fotonovela as a Health Literacy Tool
A visual narrative approach using fotonovelas—comics that impart a message—has been piloted with a wide range of users and shows promise for narrowing the health literacy gap for underserved or marginalized populations [
- ]. Fotonovelas have been used in programs to improve knowledge about cervical cancer and vaccinations [ , ] and treatments for depression [ ]. A 2019 study of an intervention using a print fotonovela for increasing CRC screening found that the intervention group had a higher rate of FIT completion than the comparison group, although the difference was not statistically significant [ ]. A study by Thompson et al [ ] is one of the few that developed a cancer risk fotonovela in a digital medium and curated it for a Latina patient population. Other digital uses of fotonovelas have included interventions to encourage COVID-19 vaccination adoption [ ].Texting in CRC Interventions
Reviews of mobile health interventions and their impact on cancer screening have found that these interventions increase screening rates, with larger increases in interventions that combine multiple modes of engaging patients [
, ]. This increase has been demonstrated in underserved patients and patients with English as a secondary language in the United States [ ]. CRC interventions that use texting primarily use text messages as reminders for patients to complete their FIT and then combine the reminders with other modes of outreach, such as automated and live phone calls [ ].When SMS text message interventions result in a high volume of responses from patients, the use of machine learning and natural language understanding (NLU) can make it possible to respond to patients where the workload was too heavy before. They achieve this by categorizing and automating certain types of responses [
]. These tools provide quick, automated replies to a patient’s questions and responses, without the need to wait for a staff member’s involvement.There is an opportunity to contribute to studies that look at screening uptake by social determinants of health (SDOH). According to the 2021 American Community Survey, 40% of low-income households do not have a mobile phone data plan, and among older adults, only approximately 50% own a smartphone [
]. This is relevant to patients eligible for CRC screening, which skews toward the age range of 50 to 75 years. In this Federally Qualified Health Center (FQHC) population, we previously reported that those who engaged in a texting program were more likely to have increased social needs [ ]. In this paper, we further explored the behaviors that could explain this relationship through qualitative data analysis of patients’ SMS text message responses.Patients face barriers to completing their FIT kits, which likely differ according to cultural context and other factors. Reviews have noted that there is a gap in the literature regarding barriers to using mobile health among older adult patients [
], although other studies have found that older adults are open to these text messages [ ]. Previous qualitative analysis conducted internally at the FQHC found that 66% of interviewed patients (n=27) said that the screening was “scary because it elicited thoughts about life and death” [ ]. These findings directly informed the messaging and educational information of this quality improvement project.Objectives
This study describes the development of a culturally tailored digital fotonovela and bidirectional SMS text messaging program for CRC screening, in which we measured patients’ level of engagement and reviewed patient qualitative feedback on fotonovela acceptability. Additional results are intended to provide insights into the relationship between SDOH and the level of patient engagement.
This paper also reports on the design and development of bidirectional texting and digital fotonovelas as a collaborative, iterative process between the FQHC and the text message platform vendor mPulse Mobile.
Methods
Fotonovela Development
This quality improvement project was conducted in a large urban FQHC. Digital fotonovelas were developed by the texting vendor based on prior internal work at the FQHC [
]. The illustrations and storyline of the fotonovelas focused on depicting role models who were identified as peers of the population of interest: Hispanic or Latinx patients aged 50 to 75 years from a large urban FQHC, with similar cultural and social norms to communicate the message in English or Spanish.The FQHC’s CRC clinical team and the texting vendor collaborated on the narrative and visual content of the fotonovelas. The vendor brought expertise in behavioral science and experience creating similar programs. The FQHC team brought literature on screening barriers and knowledge about their specific patient population. A series of meetings led to 2 drafts: 1 for male participants and 1 for female participants. Revisions to the drafts included adding cultural elements to better reflect the appearances, practices, and preferences of FQHC age-eligible patients and to intensify user engagement and emotional connectedness with culturally aligned characters.
For example, the evolution of the fotonovela titled Turning 50 (tailored for women) included changing the main characters’ hairstyle and skin color and changing the beverage from tea to coffee. Other enhancements included adding images of family within the storyline, such as a child holding her mother’s hand, and a mix of English and Spanish languages reflecting an informal setting (refer to
for second fotonovela).The final fotonovelas were translated into Spanish and saved as images. These images were uploaded to the vendor’s platform, where both teams tested and revised the fotonovelas before launching the text message program.
shows the 2021 timeline for both fotonovelas, with the version for female participants presented alongside the timeline.The fotonovela link was texted as part of the 4-week texting program, which drew from the literature on increasing cancer screening rates. The first series of text messages confirmed that patients had received the FIT kit in the mail and then recommended setting a goal (“Complete the test” and “Mail it back in the next 2 days”). Subsequent messages were aimed at building health literacy (“It can help us find colon cancer early”) and eliminating doubts about whether it was necessary (“We know you’ve completed colon cancer screening before, but you are due now”). Some barriers were addressed explicitly by a text sent during the second week of messaging that asked patients, “If you haven’t done your kit yet, please tell us if any of these reasons apply (please pick your most important reason).” Patients chose from a list of (1) I’m not sure why I need it; (2) I feel fine, and I don’t have any pain or symptoms; (3) I’m too busy right now; (4) I’m scared about the results; (5) It’s embarrassing to do it and then mail it back; and a final option to text back with barriers in their own words. Other barriers were addressed, as presented in
, using NLU to reply to patient concerns with automated text messages.Behavior change strategies and techniques, such as building self-efficacy, positive framing, goal setting, verbal persuasion, and addressing myths and misconceptions, were embedded within texts to patients. The text messages addressed the most common barriers to completing CRC screening, referenced the importance of family and consulting family in decision-making, explained not putting off the screening because it was uncomfortable or unfamiliar, and reinforced the importance of early cancer detection. The texting medium was thought to provide a level of openness and distance that would encourage patients to feel comfortable sharing information or asking questions that they might otherwise not pose in person, such as how to collect a sample from their stool. The teams designed the fotonovela to incorporate behavior change techniques consistent with patients’ receptiveness to screening and to anticipate and address potential patient barriers, as presented in
.NLU Classification
When patients texted back replies, the automated responses used NLU and conversational artificial intelligence (AI) to classify patient replies into expected categories and send appropriate follow-up messages. For example, to recognize that patients were avoiding the screening because they were worried about the results, the system looked for the following terms in text messages: “scared,” “worried,” “dread,” “anxious,” “panic,” “frightened,” “agitated,” or “afraid.” The system addressed these emotions in text replies such as, “We understand that it can be stressful to wait for test results. But the results are so important because they tell you about your colon health. The good thing about catching problems early is that they can be treated.” There were 35 conversational AI- or NLU-based rules in place for many other anticipated themes in patient messages, such as procrastination, disgust, completed colonoscopy in the past, confusion about how to complete the screening, and not being clear about why it was necessary.
Bidirectional Texting Program Implementation—Mailing Kits
Since 2016, the FQHC has conducted an annual FIT mailing for patients who were overdue for CRC screening. Patients received an FIT kit in the mail at their home address on file, with written instructions (in English or Spanish based on the preferred language) and visual instructions on how to complete their FIT and return it in the mail. Building on the learnings from the Participatory Research to Advance Colon Cancer Prevention study [
], the 2021 FIT kit mailing targeted patients with (1) at least 1 clinic visit in the last 2 years (since July 2019); (2) a phone number on file; (3) an FIT kit completion status of “Never completed,” “Last completed within 12-24 months,” or “Last completed more than 24 months ago”; and (4) no gastrointestinal referral associated with rectal bleed symptoms.In July 2021, a total of 11,000 eligible patients were mailed the FITs. All patients received the usual care clinical workflow to encourage FIT completion. First, patients received 2 automated texts from the FQHC’s internal system: one primer before the mailing and another reminding them to return their FIT. In August, patient navigators called patients who had yet to return an FIT, answered any questions about the FIT, and encouraged screening test completion. At the end of September, 5241 patients had still not completed their FIT and were randomized for the next step of the quality improvement project that was previously described. Patients were block randomized by binary sex (male or female), age group (50-60 years and 61-75 years), and prior screening history [
].The extent to which patients interacted with the program was characterized by 2 measures: engagement rate and time to respond to week 1 of the texting program. The engagement rate was calculated by taking the total number of unique patients who interacted with the system (text responses or clicks to links sent) without opting out and dividing it by the total number of unique intervention group patients outreached. The time taken by the patient to respond in week 1 of the program was calculated as the percentage of responses within the first minute that the texts were sent, within 10 minutes, and within the first hour.
Qualitative Data Analysis of Patients’ Free-Text Responses Throughout Intervention
Data analysis was conducted only for patients in the intervention group. Over the course of 4 weeks, the patients received 2 to 4 texts weekly from the system. The program included questions, reminders, and opportunities for patients to engage in bidirectional texting with the system, that is, respond to the texts received. The patients were also able to text back unprompted at any time. Weekly thematic analysis was conducted on all the received texts to provide timely feedback to the FQHC team to act on.
At the end of the quality improvement project, these free-text responses were all translated into English, if needed, and then analyzed as a whole to identify broad themes, subthemes, and anonymized illustrative quotes. These responses informed the project on whether the patients found the program and fotonovelas acceptable, engaging, and culturally relevant. Each patient’s quote was categorized by the SDOH band to provide more context to the patient’s response. The number of responses that expressed a particular theme and subtheme were tallied, allowing a single patient to provide multiple responses, both within 1 theme and across multiple themes. Subthemes with a small N value were still included because of the value of the information being shared and the FQHC’s interest in using the feedback to inform program changes.
Quantitative Data Analysis—SDOH
In the intervention group, patient home addresses were run through the texting vendor’s proprietary algorithm to assign an SDOH index score (0-100) for each patient, where 0 represents a low needs census tract and 100 represents a high needs tract [
]. On the basis of the index score, the patient scores were sorted into 5 SDOH bands: very low impact (0-20), low impact (20-40), medium impact (40-60), high impact (60-80), and very high impact (80-100). If addresses were not recognized by the system, then the patient was placed in the unknown SDOH impact category. The patients’ home addresses were plotted on a map to visually describe the SDOH gradient and language preference (English or Spanish) among those assigned to a clinic in Los Angeles or Orange County. The response to SMS text messaging engagement by the SDOH impact band and by patient-preferred language was previously reported [ ].Ethical Considerations
The Kaiser Permanente Washington Human Subjects Review Office reviewed and determined that this quality improvement project did not involve research and was therefore exempted from full review.
Telephone Consumer Protection Act Health Care Exemption
The texting program also adhered to the Telephone Consumer Protection Act health care exemption, under which health plan members and patients who provide a mobile number implicitly consent to receive phone calls or text messages related to their health. All communication must offer an easy opt-out (text STOP), and opt-out requests must be honored immediately.
Results
SDOH Distribution
For this project, 2644 patients were randomized to the usual care group, whereas 2597 patients were randomized to the intervention group to receive the usual care plus text messages and fotonovela. Of the 2597 intervention patients with an address, 2330 were sorted into an SDOH band. Most of the patient population were in the high and very high impact bands (555/2597, 21.37% and 1416/2597, 54.52%, respectively;
). The average SDOH index score was higher among patients whose preferred language was Spanish (84) compared with English (71; ).The overall engagement rate with the texting program was 39.51% (1026 patients responded to at least 1 text out of the 2597 patients in the intervention group) [
]. An analysis of responses for week 1 revealed that patients who responded (n=509) typically did so very quickly: 27.3% (139/509) within the first minute, 53.4% (272/509) within 10 minutes, and 86.1% (438/509) within the first hour.A total of 1969 responses were received from the patients and analyzed. Three major themes emerged:
- Messages as a reminder: patients were motivated to return the FIT and had already done so or would do so as soon as possible.
- Increasing patients’ understanding of screening importance: the intervention increased patients’ knowledge about the purpose and importance of the FIT, and patients changed their minds to express readiness to complete the FIT.
- Expressing barriers: patients shared barriers to or reasons for not completing the FIT.
Theme 1—Messages as a Reminder
This theme reflects that patients were motivated to return their FIT and had already done so or would do so as soon as possible. Some patients had positive intent and behavior toward completing their FIT and a renewed commitment to complete it, partly because of the reminders. Although most patients planned to mail back their tests, a proportion of patients expressed a preference to return their tests in person at the clinic. Subthemes from patients’ responses were returned kit already, plan to complete soon, will pick up at clinic, and will drop off at doctor’s office.
summarizes the subthemes and shows example quotes from patients. For more example quotes, a full view of the table is available in the .
Subtheme | Example quote | ||
Returned kit already (n=209) | |||
|
| ||
Plan to complete soon (n=88) | |||
|
| ||
Will pick up at clinic (n=25) | |||
|
| ||
Will drop off at doctor’s office(n=8) | |||
|
|
aSDOH: social determinants of health.
bFIT: fecal immunochemical test.
cFQHC: Federally Qualified Health Center.
Theme 2—Increasing Patients’ Understanding of the Importance of Screening
Patients expressed that the program content was helpful in understanding the preventive value of screening. Furthermore, subthemes (
) showed that messaging and fotonovela content played a part in helping patients change their minds, complete their FIT, or rekindle interest in completing it.Subtheme | Example quote | ||
Changed mind because of text message or fotonovela content (n=46) | |||
|
| ||
Misplaced or ignored the kit but interest is now rekindled (n=26) | |||
|
| ||
Understands preventive value of screening (n=12) | |||
|
| ||
Willing to redo test if lost in the mail (n=3) | |||
|
|
aSDOH: social determinants of health.
bFIT: fecal immunochemical test.
Theme 3—Expressing Barriers
This last theme reflected that patients were willing to share barriers and explanations for why they had not completed the screening. Subthemes in
included patients who replied that they did not receive an FIT and who were then mailed another one by the care team. Other subthemes were patients who have health or mobility issues, who faced barriers and tradeoffs in terms of the physical requirements for being able to complete the kit; patients who were planning on getting a different screening; patients who were putting off or avoiding because it is unpleasant; and patients who shared reasons why they had other priorities competing for their attention.There was also a subset (n=10) of responses where patients stated that they were not interested in getting screened. For the full list of example quotes from patients, see table in the
.Subtheme | Example quote | |
Did not receive an FITa kit (n=290) | ||
|
| |
Have health or mobility issues(n=16) | ||
|
| |
Planning to get a different colon screening (n=13) | ||
|
| |
Not interested in the screening(n=10) | ||
|
| |
Putting off or avoiding because it is unpleasant (n=9) | ||
|
| |
Understands importance but life gets in the way (n=6) | ||
|
|
aFIT: fecal immunochemical test.
bSDOH: social determinants of health.
Discussion
Principal Findings
In this quality improvement project, we described the steps to create a culturally tailored bidirectional text messaging program with fotonovelas for underserved patients to motivate the return of mailed CRC screening kits. The FQHC team and the texting vendor partnered on the iterative development of the texting program prompts and responses, including the creation of a digital fotonovela. We found that this type of culturally relevant messaging engaged English- and Spanish-speaking patients from every SDOH band. Patients responded to the messages, showing increased knowledge of the severity of CRC and their intentions to complete their FIT. They were also engaged in sharing personal health reasons and life situations for not returning their FIT.
We observed a 40% engagement rate in our primarily Medicaid population, which was higher than the engagement rates in vendors’ other health care texting programs of 10% to 20% [
, ]. Interestingly, there was no increase in attrition or patient opt-outs at the 4-week point, which suggests that the outreach struck an appropriate balance between too few and too many messages, and the perceived relevance and value of automated messaging remained high.Messaging patients at multiple time points over the course of a few months was highly valuable. Patients could text back to say that they did not have an FIT, and the data were shared weekly with the FQHC staff, allowing them to mail new FIT kits to patients in a timely manner. Patients also texted back to share why they could not complete the FIT, which allowed for tailored motivational responses to be texted back. Most reasons were aligned with known barriers, and we plan to continue our usual care in response, including patients having existing plans to get a different colon screening and not receiving an FIT kit the first time. We used patient-reported screenings to retrieve medical records and update patient screening history for patients who reported having other screening plans, and we remailed patients who did not receive an FIT kit the first time.
One barrier that we did not know of was the health and mobility issues shared by patients. We have made our patient navigators aware of this barrier.
Our analysis of engagement by SDOH bands yielded several interesting results that could support future research. The maps illustrated that the intervention group patients spanned across the SDOH index and were drawn from both preferred language groups. Our project previously reported that the intervention resulted in patients who were engaged across all SDOH bands, from high to low social needs, with few patients opting out (78/2597, 3%). This suggests that the program is acceptable to most patients [
]. The themes and subthemes that we identified here also suggest that across all SDOH bands, patients share the same intentions to complete their FIT. The FQHC may have built trust through its multimodal FIT outreach program, as reflected in 2 subthemes: “Changed mind because of text message or fotonovela content” (n=46) and “Misplaced or ignored kit but interest is now rekindled” (n=26).Being able to maintain engagement with patients was another positive program outcome. The positive sentiment and tone with which patients responded (“Plan to complete [their FIT] soon” and “Didn’t receive a FIT”) suggest that the frequency and level of messaging were acceptable and within patients’ tolerance. Other subthemes further confirmed and quantified prior positive patient feedback, including “Understands importance but life gets in the way” and “Putting off or avoiding because it is unpleasant.” The FQHC will work toward developing strategies to address these barriers [
]. Patients who remained hard to influence were represented in each of our SDOH bands, suggesting that continued attention to social needs is important in our screening efforts.Limitations
Although the texting program and fotonovela-incorporated barriers have been reported in the literature, there was no direct patient feedback on the materials.
One of the subthemes that received the most patient responses was “Returned kit already” (n=209). Patients may have returned their FIT before the program’s week 1 reminder text, with the FIT still in the mail or yet to be updated in the FQHC’s database.
When enrolling patients in the intervention group, we validated patient phone numbers as mobile phone numbers, but we did not validate the patient’s home address. Thus, it is possible that the information presented in the SDOH maps is inaccurate.
Conclusions
For other FQHCs seeking to increase patient engagement with patients with the goal of completing fecal CRC screening, our findings suggest that culturally tailored text messaging can encourage patient engagement and ultimately FIT completion. Engagement can also generate insights into the gaps in patient care and barriers to behavior change. Intervention patients who replied provided actionable information for addressing gaps in care, such as mailing out kits never received. We also remain aware of barriers where patients understand the importance of their screening, but “life gets in the way.” We tried to address this through the fotonovela storyline; however, this barrier still persists and requires more work to understand how to bridge it.
The results of the thematic analysis of patient responses were positive overall, and there were no explicit objections to the fotonovelas. However, because this feedback was not linked at the individual patient level to whether a patient had clicked on the fotonovela, determining this rate and its relationship with screening rates is an area for future work. In addition, fotonovelas are a static asset that may require changes as time progresses. For example, the Turning 50 fotonovela was updated to reflect the US Preventive Services Task Force recommendation to begin screening at the age of 45 years [
]. Collecting patient input from this newly eligible age group will be critical to identifying potentially different barriers to screening compared with those for patients aged ≥50 years [ ].Fotonovelas also have the potential to be developed to address other behaviors in the CRC screening pathway, such as responding to an abnormal result or preparing for a colonoscopy. It is also important to consider a unidirectional versus a bidirectional texting program, as the latter, with much more costly AI and natural language decision trees, may be unsustainable for community clinics. Areas for future work include the cost analysis of these texting program options.
Finally, to better support all patients undergoing CRC screening, we must continue to explore and test additional strategies to engage patients who did not respond to the program.
Acknowledgments
The authors would like to thank the patient navigators, care team, and patients who engaged in the texting program for sharing their experiences.
Data Availability
The data sets generated or analyzed during this project are available from the corresponding author upon reasonable request.
Conflicts of Interest
None declared.
Addressing patient colorectal cancer screening barriers using tailored text messaging and fotonovelas informed by behavioral frameworks.
DOCX File , 17 KBTheme 1: messages as a reminder.
DOCX File , 15 KBTheme 3: expressing barriers.
DOCX File , 18 KBReferences
- Colorectal cancer — cancer stat facts. National Cancer Institute: Surveillance Epidemiology, and End Results Program. URL: https://seer.cancer.gov/statfacts/html/colorect.html [accessed 2022-05-02]
- Baker DW, Brown T, Buchanan DR, Weil J, Balsley K, Ranalli L, et al. Comparative effectiveness of a multifaceted intervention to improve adherence to annual colorectal cancer screening in community health centers: a randomized clinical trial. JAMA Intern Med. Aug 2014;174(8):1235-1241. [CrossRef] [Medline]
- McLeod MR, Galoosian A, May FP. Racial and ethnic disparities in colorectal cancer screening and outcomes. Hematol Oncol Clin North Am. Jun 2022;36(3):415-428. [CrossRef] [Medline]
- Joseph DA, King JB, Dowling NF, Thomas CC, Richardson LC. Vital signs: colorectal cancer screening test use - United States, 2018. MMWR Morb Mortal Wkly Rep. Mar 13, 2020;69(10):253-259. [FREE Full text] [CrossRef] [Medline]
- Richardson LC, King JB, Thomas CC, Richards TB, Dowling NF, Coleman King S. Adults who have never been screened for colorectal cancer, behavioral risk factor surveillance system, 2012 and 2020. Prev Chronic Dis. Apr 21, 2022;19:E21. [FREE Full text] [CrossRef] [Medline]
- Rohan AM, Booske BC, Remington PL. Using the Wisconsin County Health Rankings to catalyze community health improvement. J Public Health Manag Pract. 2009;15(1):24-32. [CrossRef] [Medline]
- Chan A, Brown B, Sepulveda E, Teran-Clayton L. Evaluation of fotonovela to increase human papillomavirus vaccine knowledge, attitudes, and intentions in a low-income Hispanic community. BMC Res Notes. Oct 29, 2015;8:615. [FREE Full text] [CrossRef] [Medline]
- Brown LD, Vasquez D, Salinas JJ, Tang X, Balcázar H. Evaluation of healthy fit: a community health worker model to address hispanic health disparities. Prev Chronic Dis. Apr 26, 2018;15:E49. [FREE Full text] [CrossRef] [Medline]
- Thompson B, Barrington WE, Briant KJ, Kupay E, Carosso E, Gonzalez NE, et al. Educating Latinas about cervical cancer and HPV: a pilot randomized study. Cancer Causes Control. Apr 2019;30(4):375-384. [FREE Full text] [CrossRef] [Medline]
- Sanchez K, Eghaneyan BH, Killian MO, Cabassa LJ, Trivedi MH. Depression education fotonovela for engagement of Hispanic patients in treatment: a randomized clinical trial. BMC Psychiatry. Dec 23, 2021;21(1):635. [FREE Full text] [CrossRef] [Medline]
- Gwede CK, Sutton SK, Chavarria EA, Gutierrez L, Abdulla R, Christy SM, et al. A culturally and linguistically salient pilot intervention to promote colorectal cancer screening among Latinos receiving care in a Federally Qualified Health Center. Health Educ Res. Jun 01, 2019;34(3):310-320. [FREE Full text] [CrossRef] [Medline]
- Brar Prayaga R, Prayaga RS. Mobile fotonovelas within a text message outreach: an innovative tool to build health literacy and influence behaviors in response to the COVID-19 pandemic. JMIR Mhealth Uhealth. Aug 10, 2020;8(8):e19529. [FREE Full text] [CrossRef] [Medline]
- Schliemann D, Tan MM, Hoe WM, Mohan D, Taib NA, Donnelly M, et al. mHealth interventions to improve cancer screening and early detection: scoping review of reviews. J Med Internet Res. Aug 15, 2022;24(8):e36316. [FREE Full text] [CrossRef] [Medline]
- Ruco A, Dossa F, Tinmouth J, Llovet D, Jacobson J, Kishibe T, et al. Social media and mHealth technology for cancer screening: systematic review and meta-analysis. J Med Internet Res. Jul 30, 2021;23(7):e26759. [FREE Full text] [CrossRef] [Medline]
- Uy C, Lopez J, Trinh-Shevrin C, Kwon SC, Sherman SE, Liang PS. Text messaging interventions on cancer screening rates: a systematic review. J Med Internet Res. Aug 24, 2017;19(8):e296. [FREE Full text] [CrossRef] [Medline]
- Lowres N, Duckworth A, Redfern J, Thiagalingam A, Chow CK. Use of a machine learning program to correctly triage incoming text messaging replies from a cardiovascular text-based secondary prevention program: feasibility study. JMIR Mhealth Uhealth. Jun 16, 2020;8(6):e19200. [FREE Full text] [CrossRef] [Medline]
- Sieck CJ, Sheon A, Ancker JS, Castek J, Callahan B, Siefer A. Digital inclusion as a social determinant of health. NPJ Digit Med. Mar 17, 2021;4(1):52. [FREE Full text] [CrossRef] [Medline]
- Levitz CE, Kuo E, Guo M, Ruiz E, Torres-Ozadali E, Brar Prayaga R, et al. Using text messages and fotonovelas to increase return of home-mailed colorectal cancer screening tests: mixed methods evaluation. JMIR Cancer. Mar 07, 2023;9:e39645. [FREE Full text] [CrossRef] [Medline]
- Pang NQ, Lau J, Fong SY, Wong CY, Tan KK. Telemedicine acceptance among older adult patients with cancer: scoping review. J Med Internet Res. Mar 29, 2022;24(3):e28724. [FREE Full text] [CrossRef] [Medline]
- Weaver KE, Ellis SD, Denizard-Thompson N, Kronner D, Miller DP. Crafting appealing text messages to encourage colorectal cancer screening test completion: a qualitative study. JMIR Mhealth Uhealth. Nov 04, 2015;3(4):e100. [FREE Full text] [CrossRef] [Medline]
- Davis MM, Schneider JL, Gunn R, Rivelli JS, Vaughn KA, Coronado GD. A qualitative study of patient preferences for prompts and reminders for a direct-mail fecal testing program. Transl Behav Med. Mar 16, 2021;11(2):540-548. [FREE Full text] [CrossRef] [Medline]
- Brar Prayaga R, Agrawal R, Nguyen B, Jeong EW, Noble HK, Paster A, et al. Impact of social determinants of health and demographics on refill requests by medicare patients using a conversational artificial intelligence text messaging solution: cross-sectional study. JMIR Mhealth Uhealth. Nov 18, 2019;7(11):e15771. [FREE Full text] [CrossRef] [Medline]
- Brar Prayaga R, Jeong EW, Feger E, Noble HK, Kmiec M, Prayaga RS. Improving refill adherence in medicare patients with tailored and interactive mobile text messaging: pilot study. JMIR Mhealth Uhealth. Jan 30, 2018;6(1):e30. [FREE Full text] [CrossRef] [Medline]
- Knudsen AB, Rutter CM, Peterse EF, Lietz AP, Seguin CL, Meester RG, et al. Colorectal cancer screening: an updated modeling study for the US preventive services task force. JAMA. May 18, 2021;325(19):1998-2011. [FREE Full text] [CrossRef] [Medline]
- Hyams T, Mueller N, Curbow B, King-Marshall E, Sultan S. Screening for colorectal cancer in people ages 45-49: research gaps, challenges and future directions for research and practice. Transl Behav Med. Feb 16, 2022;12(2):198-202. [FREE Full text] [CrossRef] [Medline]
Abbreviations
AI: artificial intelligence |
CRC: colorectal cancer |
FIT: fecal immunochemical test |
FQHC: Federally Qualified Health Center |
NLU: natural language understanding |
SDOH: social determinants of health |
SES: socioeconomic status |
Edited by A Mavragani; submitted 27.09.22; peer-reviewed by M Kapsetaki, C Thomson; comments to author 23.01.23; revised version received 17.03.23; accepted 19.03.23; published 10.08.23.
Copyright©Monica Guo, Rena Brar Prayaga, Carly E Levitz, Elena S Kuo, Esmeralda Ruiz, Evelyn Torres-Ozadali, Anne Escaron. Originally published in JMIR Cancer (https://cancer.jmir.org), 10.08.2023.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included.