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Published on in Vol 16, No 8 (2014): August

Mobile Phone Text Messaging Intervention for Cervical Cancer Screening: Changes in Knowledge and Behavior Pre-Post Intervention

Mobile Phone Text Messaging Intervention for Cervical Cancer Screening: Changes in Knowledge and Behavior Pre-Post Intervention

Mobile Phone Text Messaging Intervention for Cervical Cancer Screening: Changes in Knowledge and Behavior Pre-Post Intervention

Authors of this article:

Hee Yun Lee1 Author Orcid Image ;   Joseph S Koopmeiners2 Author Orcid Image ;   Taeho Greg Rhee3 Author Orcid Image ;   Victoria H Raveis4 Author Orcid Image ;   Jasjit S Ahluwalia5 Author Orcid Image
Article Authors Cited by (78) Tweetations (24) Metrics

    Original Paper

    1School of Social Work and University of Minnesota Masonic Cancer Center, College of Education and Human Development, University of Minnesota, Twin Cities, St Paul, MN, United States

    2Division of Biostatistics, School of Public Health, University of Minnesota, Twin Cities, Minneapolis, MN, United States

    3Division of Health Policy and Management, School of Public Health, University of Minnesota, Twin Cities, Minneapolis, MN, United States

    4Psychosocial Research Unit on Health, Aging, and the Community, College of Dentistry, New York University, New York, NY, United States

    5Center for Health Equity and Department of Medicine, School of Medicine, University of Minnesota, Twin Cities, Minneapolis, MN, United States

    *all authors contributed equally

    Corresponding Author:

    Hee Yun Lee, PhD

    School of Social Work and University of Minnesota Masonic Cancer Center

    College of Education and Human Development

    University of Minnesota, Twin Cities

    1404 Gortner Ave

    St Paul, MN, 55108

    United States

    Phone: 1 612 624 3689

    Fax:1 612 624 3744

    Email: hylee@umn.edu


    Background: Cervical cancer poses a significant threat to Korean American women, who are reported to have one of the highest cervical cancer mortality rates in the United States. Studies consistently report that Korean American women have the lowest Pap test screening rates across US ethnic groups.

    Objective: In response to the need to enhance cervical cancer screening in this vulnerable population, we developed and tested a 7-day mobile phone text message-based cervical cancer Screening (mScreening) intervention designed to promote the receipt of Pap tests by young Korean American women.

    Methods: We developed and assessed the acceptability and feasibility of a 1-week mScreening intervention to increase knowledge of cervical cancer screening, intent to receive screening, and the receipt of a Pap test. Fogg’s Behavior Model was the conceptual framework that guided the development of the mScreening intervention. A series of focus groups were conducted to inform the development of the intervention. The messages were individually tailored for each participant and delivered to them for a 7-day period at each participant’s preferred time. A quasi-experimental research design of 30 Korean American women aged 21 to 29 years was utilized with baseline, post (1 week after the completion of mScreening), and follow-up (3 months after the completion of mScreening) testing.

    Results: Findings revealed a significant increase in participants’ knowledge of cervical cancer (P<.001) and guidelines for cervical cancer screening (P=.006). A total of 23% (7/30) (95% CI 9.9-42.3) of the mScreening participants received a Pap test; 83% (25/30) of the participants expressed satisfaction with the intervention and 97% (29/30) reported that they would recommend the program to their friends, indicating excellent acceptability and feasibility of the intervention.

    Conclusions: This study provides evidence of the effectiveness and feasibility of the mScreening intervention. Mobile technology is a promising tool to increase both knowledge and receipt of cervical cancer screening. Given the widespread usage of mobile phones among young adults, a mobile phone-based health intervention could be a low-cost and effective method of reaching populations with low cervical cancer screening rates, using individually tailored messages that cover broad content areas and overcome restrictions to place and time of delivery.

    J Med Internet Res 2014;16(8):e196

    doi:10.2196/jmir.3576

    Keywords

    cervical cancer; Pap test; mobile health; text-messaging intervention; health behavior change; Korean American women; health disparity 


    Korean American women have one of the highest cervical cancer mortality rates in the United States. Cervical cancer incidence and mortality rates for Korean American women are roughly twice that of non-Latino white women [1]. While the Healthy People 2020 initiative states that 93% of women, aged 21-65 years, should have undergone a Pap test within the past 3 years [2], studies consistently report that, among women across US racial/ethnic groups, Korean American women have the lowest Pap test screening rates, ranging from 39% to 64% [3-8]. Given that early detection of cervical malignancies through this routine screening measure has been shown to significantly reduce cervical cancer mortality, Korean American women’s low screening rate indicates that efforts to increase their screening behavior would be very beneficial [1,9].

    A variety of structural and cultural factors act as barriers to screening for Korean American women. Structural obstacles include health access due to inadequate health insurance [10-12], expense [1,13], time constraints [10,13], and language limitations [1,10,12-15]. Cultural barriers to cervical cancer screening encompass lack of knowledge regarding cervical cancer and cervical cancer screening [1,10,12,13,16], a wrongly held belief that screening is unnecessary in the absence of symptoms or at young ages [1,10,12,13,16,17], cultural modesty or embarrassment [10,13,16], lack of culturally appropriate health care providers [12,13], and fear of receiving negative screening results [10,16].

    A limited number of interventions to address barriers and promote cervical cancer screening among Korean American women have been designed or implemented. These efforts have focused on peer-led workshops [18,19], dissemination of videos [18], and distribution of cancer education print materials [20,21]. There are a number of reasons why these approaches have been only partially effective in promoting cervical cancer screening in this population. Korean American women are a particularly hard-to-reach population [19,20]. Although earlier interventions have specifically targeted structural barriers to cancer screening (eg, providing low-cost or free Pap tests or in-language services), prominent cultural obstacles such as cultural modesty or misconceptions about screening were not addressed [19]. These previous intervention strategies also did not tailor the intervention to strategically target specific individual concerns about screening, despite evidence that there are multiple cultural reasons for Korean American women’s reservations about cervical cancer screening [20]. The restricted scope and lack of tailoring in these previous interventions may have contributed to their limited impact. Personalized interventions may be necessary to motivate a change in screening behavior with this difficult to reach population.

    To address the multiple limitations that were present in prior interventions, we developed and tested a mobile phone text message-based cervical cancer Screening (mScreening) intervention that utilizes mobile health (mHealth) technology. mHealth is defined as the use of mobile and wireless devices as intervention tools to deliver health information or improve health outcomes, particularly using short message service (SMS or text) and/or multimedia message service (MMS, or images or pictures) [22]. mHealth is considered a promising tool for preventive care through promotion of behavioral change. mHealth is taking a primary place in a number of research initiatives related to the promotion of health behavior. For example, mHealth technology was successfully used in weight management [23], smoking cessation [24-28], youth sexual health [29], increased physical activity [30], self-care behaviors [27,28,31], and asthma monitoring and management programs [32].

    Our study seeks to harness mobile phone technology to positively influence cancer screening behavior, taking preventive health care approaches to a new level [7,33]. Guided by the Fogg’s Behavior Model (FBM) [33], the mScreening intervention consists of three sequential components: (1) identifying barriers, (2) developing motivators, and (3) providing triggers (see Figure 1 for conceptual framework). With the FBM framework, we first identified specific structural and cultural barriers that prevent Korean American women from receiving a Pap test. This information guided our subsequent development and implementation of mobile tools (eg, SMS or MMS) to improve knowledge and provide the motivation for behavioral change. Triggers to act are employed in the form of reminder text messages (eg, “Make an appointment now!”) or electronic links (eg, “Click to talk to a Korean health navigator”) to prompt Korean American women to take immediate action to obtain a Pap test.

    Our study had three primary aims: (1) to examine if the mScreening intervention increased research participants’ (a) knowledge of cervical cancer, relevant guidelines of cervical cancer screening, and cervical cancer risk factors, and (b) their intent to undergo screening; (2) to assess if the mScreening intervention contributed to a 20% increase in the receipt of the Pap test over the sample’s baseline rate; and (3) to examine the acceptability and satisfaction of the 7-day mScreening intervention program. Our study used evidence-based and theory-driven approaches to develop the mScreening intervention to concentrate on barriers (eg, cultural beliefs, perceived-risk, and limited health literacy) that prior work had not addressed, so as to increase Korean American women’s adherence to cervical cancer screening guidelines.

    ‎
    Figure 1. Conceptual framework of the study.
    View this figure

    Research Design and Data Collection

    A quasi-experimental design was used with baseline, post-test (1 week after the completion of mScreening), and follow-up (3 months after the completion of mScreening) assessments. The eligibility criteria for our study included: Korean American women aged 21 to 29 years with no prior receipt of a Pap test in Minnesota. Participants also needed to have up-to-date health insurance, mobile phone access (either a regular or smartphone), and be familiar with or willing to learn basic elements of text-based information communication technology. We used a multi-pronged recruitment strategy. A variety of outreach flyers and brochures were posted and handed out in churches, clinics, social service agencies, and ethnic markets that serve the Korean American population, as well as advertised through public social media that is tailored towards the Korean American population. We fully explained the purpose of our study, eligibility criteria, confidentiality, and the voluntary nature of study participation to every participant both in oral and written formats before the study began. The University of Minnesota Institutional Review Board approved the research procedure for this study. A total of 30 participants were enrolled who met the inclusion criteria, received the intervention, and completed the data collection protocol. We had complete retention of participants in our study.

    Intervention

    We used a community-based participatory research approach to develop the content of the 7-day text message-based mScreening intervention and participant recruitment strategies. We formed a community advisory board, which consisted of Korean American community leaders, health care professionals who work in the Korean American community, and directors of social service agencies. Additionally, we conducted a series of focus groups with 13 young Korean American women. After usability testing for the mScreening intervention with 8 Korean American women, we recruited 34 Korean American women and delivered the mScreening intervention to the 30 women who qualified as study participants.

    As per the FBM [33], the mScreening intervention identifies individual barriers to screening, develops motivators specific to these barriers, and provides a trigger to the desired health behavior action (ie, receipt of a Pap test) (see Figure 1). The informational/educational content of the mScreening intervention covered the following topics: (1) introductory information on the cervix and cervical cancer, including statistical facts of cervical cancer incidence and mortality, and screening rates of cervical cancer among Korean American women compared to other racial/ethnic groups in the United States, (2) introduction of the Pap test as a preventive mode for cervical cancer, (3) information on health care accessibility, (4) introduction of cultural barriers, (5) availability of local clinics and cost of Pap test, (6) testimony of a Korean American woman who had gone through the Pap test experience, and (7) testimony of a Korean American cervical cancer survivor who found cervical cancer at later stage and had no previous receipt of a Pap test. The mScreening intervention was delivered to each participant over 20-30 minutes each day for a 7-day period at each participant’s preferred time.

    The mScreening intervention contained a high level of interactive features, such as quizzes and questions, and also allowed participants to engage in conversation, with approximately one-third of messages asking for responses. Messages were individually tailored for each participant. For example, based on the baseline interview of each participant, we identified strengths and weaknesses of individual participants. If a participant had weaknesses on culture-based health beliefs on cervical cancer screening at baseline, we provided ad hoc messages that were designed to reduce cultural barriers (eg, “We understand it is a bit embarrassing to get it done. But do it for you! Your happy cervix will appreciate it!”) in addition to regular messages sent each day. This tailoring was enabled by a database of over 50 ad hoc messages that were designed to reduce culture-based beliefs and attitudes on cervical cancer screening.

    Measures

    Overview

    We collected information from participants through face-to-face interviews using a structured questionnaire administered at three time points: at the study enrollment (baseline), 1 week after completing the mScreening intervention (post-test), and 3 months after completing the mScreening intervention (follow-up).

    Outcome Measures

    Our primary outcomes of interest included knowledge, attitudes, and beliefs about cervical cancer and cervical cancer screening, intent to undergo screening as measured with the trans-theoretical model (eg, stages of change consisting of precontemplation, contemplation, preparation for action, action, and maintenance) [34,35], and the receipt of the Pap test.

    Baseline Measures

    We collected information on sociodemographic characteristics (eg, age, marital status, education, employment status, income, health status, and religion), health-related information (eg, history of cancer in the family, health insurance, usual source of care, and number of doctor visits), level of acculturation (years in the United States and English language proficiency), and administered scales for health knowledge and beliefs about cervical cancer, cervical cancer screening, and intent to undergo a Pap test as part of cervical cancer screening. Champion’s revised health belief model scale was used for measuring health beliefs on cervical cancer and cervical cancer screening [36]. This scale was previously used in Korean American women in Chicago and was demonstrated to have appropriate reliability and validity [1]. We adapted and used Taylor and colleague’s 15-item scale for knowledge about cervical cancer and cervical cancer screening [37].

    Post-Test and Follow-Up Measures

    One week after the completion of the mScreening intervention (post-test interview), we asked participants about their experience with the intervention and general satisfaction to inform quality assurance and improvement. We also repeated the items from the baseline interview about knowledge and beliefs about cervical cancer and cervical cancer screening, and assessed their intent post-test to undergo screening and if they received a Pap test after the intervention. In the 3-month follow-up interview, we asked participants if they had received a Pap test in the prior 3 months, and for those who did not receive a Pap test, we asked their reasons for not undergoing the test.

    Data Analyses

    Differences in constructs relating to knowledge, attitudes, and beliefs about cervical cancer and cervical cancer screening from baseline to 1 week post-test were summarized by means and standard deviations, and tested using the paired t test. Two approaches for comparing the intent to receive the Pap test pre- and post-mScreening were considered. First, we translated the change in a subject’s intent to receive the Pap test to a numerical scale with subjects receiving a “1” if their intent to receive the Pap test increased from pre- to post-mScreening, a “0” if their intent to receive the Pap test stayed the same, and a “−1” if their intent to receive the Pap test decreased. We then summarized subjects’ change in their intent to receive the Pap test by the mean and standard deviation and compared the mean change to zero using the one-sample t test to determine if, on average, subjects’ intent to receive the Pap test increased from pre- to post-mScreening. In addition, we dichotomized intent to receive the Pap test into “intent to receive within a year” and “no intent to receive within a year”. The percent of subjects providing each response before and after mScreening were compared using McNemar’s test for paired binary data. We estimated the rate of cervical cancer screening post-intervention and at the 3-month follow-up using the sample proportion and 95% confidence intervals were estimated using the exact method. Measures of acceptability and satisfaction were summarized using counts and sample proportions. Given the preliminary nature of the study and relatively small sample size, multivariate analyses were not conducted and only univariate and bivariate results are reported.


    Demographic Characteristics of the Sample

    Table 1 presents the study participants’ baseline demographic information (N=30). Participants ranged in age from 21-29 years, and 27 out of 30 participants (90%) reported living in the United States for less than 9 years, with 37% (11/30) living in the United States for 3 years or less. Of the 30 participants, 28 participants (93%) reported that they had health insurance; 15 participants (50%) reported having a primary hospital; and 6 participants (20%) reported having a primary physician. Finally, 19 participants (63%) reported a family history of cancer.

    Table 1. Baseline sociodemographic characteristics of the sample (N=30).
    VariableCategoriesn (%)
    Age, years


    		21-2211 (37)
    23-2513 (43)
    26-296 (20)
    Marital status


    		Married1 (3)
    Other29 (97)
    Years in United States


    		3 or less11 (37)
    4-816 (53)
    9 or more3 (10)
    Employment


    		Yes11 (37)
    No19 (63)
    Education


    		Undergraduates19 (63)
    Graduated from college/university9 (30)
    Graduated from graduate school2 (7)
    Monthly income (US$)


    		under $49914 (48)
    $500-$149910 (34)
    $1500 or more5 (17)
    Health status


    		Poor or fair19 (63)
    Good6 (20)
    Very good or excellent5 (17)
    Living arrangement


    		Live alone12 (40)
    Live with spouse only1 (3)
    Live with others17 (57)
    Other0 (0)
    Currently living in


    		Rented house or condominium19 (63)
    Government-subsidized senior citizen apartment4 (13)
    Unsubsidized apartment3 (10)
    Rented room in other’s home3 (10)
    Other1 (3)
    Self-rated financial status


    		Very bad1 (3)
    Bad3 (10)
    Fair20 (67)
    Good4 (13)
    Very good2 (7)
    How often do you work out per week?


    		Not at all8 (27)
    Once2 (7)
    Twice11 (37)
    Three times4 (13)
    Four times or more5 (17)
    Smoking status


    		Not at all28 (93)
    Some days1 (3)
    Every day1 (3)
    Alcohol consumption


    		Not at all13 (43)
    Some days17 (57)
    Every day0 (0)
    Health insurance


    		Yes28 (93)
    No2 (7)
    Primary hospital


    		Yes15 (50)
    No15 (50)
    Primary physician


    		Yes6 (20)
    No24 (80)
    Family cancer history


    		Yes19 (63)
    No11 (37)

    Changes in Knowledge, Attitudes, and Beliefs

    Table 2 presents changes in measures of knowledge, attitudes, and beliefs about the Pap test, comparing baseline to the post-test, completed 1 week after the mScreening intervention. Significant differences were observed for all constructs and these differences remained significant after a Bonferonni multiple comparison adjustment (P<.01). Significant improvements were observed for general knowledge about cervical cancer (P<.001), knowledge about the Pap test (P<.001), beliefs about and attitudes toward the Pap test (P=.006), and knowledge about risk factors of cervical cancer and its screening (P<.001). We also observed a significant reduction in socio-cultural barriers to cervical cancer screening (P=.001).

    Table 2. Changes in knowledge, attitudes, and beliefs about cervical cancer and the Pap test (N=30).
    ConstructBaseline pretest1 week posttestMean differenceP value
    mean (SD)mean (SD)
    General knowledge about cervical cancer0.33 (0.36)0.92 (0.17)0.59<.001
    Knowledge about Pap test2.85 (0.87)3.56 (0.52)0.71<.001
    Beliefs of and attitude toward Pap test2.83 (0.42)3.14 (0.52)0.31.006
    Knowledge about risk factors of cervical cancer and its screening2.11 (0.80)2.87 (0.57)0.76<.001
    Socio-cultural barriers to cervical cancer screening2.33 (0.51)1.98 (0.53)−0.35.001

    Intent and Receipt of Pap Test

    Table 3 presents the study participants’ intent to receive the Pap test before and after the mScreening program. We observed an increase in participants’ intent to receive the Pap test (mean 0.23, 95% CI −0.04 to 0.51) and the percent of participants indicating an intent to receive the Pap test within 1 year (from 63% to 87%) but these differences were not statistically significant (P=.090 and P=.070, respectively). In addition, one study participant (3%, 1/30) reported receiving the Pap test within 1 week after completing the mScreening program and 6 additional participants (20%, 6/30) reported receiving the Pap test by the 3-month follow-up visit, which represents a 23% (7/30) improvement in the proportion of participants receiving the Pap test (95% CI 10% to 42%) compared to baseline.

    Table 3. Intention to receive the Pap test before and after the mScreening intervention (N=30).
    Baseline pretestIntent to receive a Pap test at 1 week post-test, n (%)

    		No plans within 1 yearWithin 1 yearWithin 3 monthsWithin 1 monthHave received Pap testTotal
    No plans within 1 year2 (6.7)4 (13.3)2 (6.7)2 (6.7)1 (3.3)11 (36.7)
    Within 1 year2 (6.7)9 (30.0)1 (3.3)1 (3.3)0 (0.0)13 (43.3)
    Within 3 months0 (0.0)2 (6.7)0 (0.0)1 (3.3)0 (0.0)3 (10.0)
    Within 1 month0 (0.0)1 (3.3)0 (0.0)2 (6.7)0 (0.0)3 (10.0)
    Have received Pap test0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)
    Total4 (13.4)16 (53.3)3 (10.0)6 (20.0)1 (3.3)30 (100)

    Acceptability and Feasibility of the mScreening Intervention

    Table 4 presents participant responses to questions relating to the acceptability and satisfaction of the 7-day mScreening intervention. At the 1-week post-test visit, 25 of 30 participants (83%) reported being either satisfied or very satisfied with the mScreening program and 29 participants (97%) reported that they would recommend mScreening to their friends.

    Table 4. Acceptability and satisfaction of the mScreening intervention at 1-week post-test interview (N=30).
    QuestionAnswern (%)
    Please rate your satisfaction level with mScreening program

    		Very satisfied8 (27)
    Satisfied17 (57)
    Neutral5 (17)
    Dissatisfied0 (0)
    Very dissatisfied0 (0)
    Would you like to recommend mScreening program to your friend?

    		Yes29 (97)
    No1 (3)

    Principal Findings

    We observed a significant increase in the study sample’s general knowledge about cervical cancer and the Pap test, beliefs and attitudes toward the Pap test, and knowledge about risk factors of cervical cancer and its screening guidelines (P=.006), after completing the mScreening intervention. We also found a significant decrease in perceived socio-cultural barriers to cervical cancer screening (P=.005). By the 3-month follow-up, 7 out of 30 participants (23%) reported having received the Pap test. As only women that had not previously received the Pap test were recruited for this study, this finding indicates that participation in the mScreening intervention led to more than a 20% increase in the receipt of the Pap test in this sample. This is a notable achievement as we targeted a group that had not previously been motivated to engage in this recommended health promotion activity. These findings are in line with a previous study, where an SMS reminder system resulted in a significant increase in the practice of breast self-examination [38].

    Positive results were also obtained regarding the acceptability and satisfaction of the 7-day mScreening intervention program. At the 1-week post-test visit, 83% (25/30) of participants reported that they were either satisfied or very satisfied with the mScreening program, and 97% (29/30) of participants stated that they would recommend the mScreening program to their friends. Overall, the majority of participants expressed a high degree of acceptability and satisfaction with the mScreening intervention program.

    Our study shows that the FBM [33] was useful in explaining and improving cervical cancer screening behaviors. We identified structural and cultural factors (eg, language limitations and lack of knowledge regarding cervical cancer and cervical cancer screening) as well as individual factors (eg, family history of cancer) that are barriers to cervical cancer screening in Korean American women. The mScreening intervention addressed such factors with the intention of minimizing the barriers and motivating research participants to act upon the preventive health behavior. Triggers (ie, a SMS/MMS reminder) were also provided as part of the mScreening intervention, so that research participants did not only change in terms of their knowledge, attitudes, and/or beliefs about cervical cancer and its screening, but were also actively engaged in the utilization of the Pap test.

    Limitations

    While the results of this study are very promising, there are some limitations. First, the sample size was relatively small and we used a quasi-experimental study design. Further research is needed to validate the effectiveness of the mScreening intervention with a larger sample of Korean American women using a rigorous research design, such as a randomized controlled trial. Second, our study was not designed to explore what would be the optimum time interval for program delivery. We delivered the mScreening intervention over a 7-day period. The study participants’ feedback during the post-test interviews was that a shorter intervention period would have been better. Investigations comparing the 7-day text-message program with a shorter intervention (eg, 5 days or 3 days) may determine if a briefer time may still be sufficient to bring about behavior change. However, we also postulate that an individually tailored intervention with a longer time period may be more effective for those with more barriers. Third, the ideal intervention medium is not yet known. Further research is needed to determine if it is beneficial to individually tailor the length of the intervention and if a more effective medium may result in greater behavior change (such as an interactive smartphone app). Additional investigations should examine the utility of delivering the text-message program via mobile application (mobile app), which utilizes a password function to protect participants’ confidentiality and privacy. The efforts to find the best intervention medium (text vs mobile app) and the most appropriate length of intervention (1 week vs fewer days) will create an intervention that is more effective in promoting cervical cancer screening and prevention while at the same time increasing participants’ satisfaction.

    Conclusions

    Our findings revealed that mobile technology is a promising tool to increase both knowledge about cervical cancer and receipt of the Pap test. This study provides evidence for the feasibility, acceptability, and satisfaction of the mScreening intervention. Given the widespread use of mobile phones (98%) and smartphones (83%) among young adults [39], a mobile phone-based health intervention could be a cost-effective method of reaching hard-to-reach populations with tailored, individual messages that cover broad content areas and overcome restrictions to place and time of delivery. Our developed model could be expanded for delivery to different age groups of Korean American women to promote additional types of cancer screening, such as colonoscopy or mammogram. It could also be used with other underserved minority groups. Vietnamese, Hmong, and Laotian American women face similar barriers to cancer screening and report high cervical cancer incidence and mortality [40-42]. It is likely that these populations may also benefit from a similarly tailored intervention approach. Given emerging technological developments, effective interventions that could be adapted to efficiently disseminate culturally appropriate health information and promote positive health behavior changes would broadly impact the social determinants of health disparities in hard-to-reach, vulnerable populations.

    Acknowledgments

    Funding for this research was provided by a grant from the National Cancer Institute (R21-1R21CA155531-0). Dr Ahluwalia is supported in part by the National Institute for Minority Health Disparities (NIMHD/NIH - 1P60MD003422). The authors would like to extend their gratitude to the Korean American women who participated in this study.

    Conflicts of Interest

    None declared.

    1. Lee EE, Fogg L, Menon U. Knowledge and beliefs related to cervical cancer and screening among Korean American women. West J Nurs Res 2008 Dec;30(8):960-974 [FREE Full text] [CrossRef] [Medline]
    2. U.S. Department of Health and Human Services. Healthy People 2020   URL: http://www.healthypeople.gov/2020/default.aspx [accessed 2014-07-18] [WebCite Cache]
    3. Kagawa-Singer M, Pourat N, Breen N, Coughlin S, Abend McLean T, McNeel TS, et al. Breast and cervical cancer screening rates of subgroups of Asian American women in California. Med Care Res Rev 2007 Dec;64(6):706-730. [CrossRef] [Medline]
    4. McCracken M, Olsen M, Chen MS, Jemal A, Thun M, Cokkinides V, et al. Cancer incidence, mortality, and associated risk factors among Asian Americans of Chinese, Filipino, Vietnamese, Korean, and Japanese ethnicities. CA Cancer J Clin 2007;57(4):190-205. [Medline]
    5. Juon HS, Choi S, Klassen A, Roter D. Impact of breast cancer screening intervention on Korean-American women in Maryland. Cancer Detect Prev 2006;30(3):297-305. [CrossRef] [Medline]
    6. Chen JY, Diamant AL, Kagawa-Singer M, Pourat N, Wold C. Disaggregating data on Asian and Pacific Islander women to assess cancer screening. Am J Prev Med 2004 Aug;27(2):139-145. [CrossRef] [Medline]
    7. Juon HS, Choi Y, Kim MT. Cancer screening behaviors among Korean-American women. Cancer Detect Prev 2000;24(6):589-601. [Medline]
    8. Maxwell AE, Bastani R, Warda US. Demographic predictors of cancer screening among Filipino and Korean immigrants in the United States. Am J Prev Med 2000 Jan;18(1):62-68. [Medline]
    9. Phipps E, Cohen MH, Sorn R, Braitman LE. A pilot study of cancer knowledge and screening behaviors of Vietnamese and Cambodian women. Health Care Women Int 1999;20(2):195-207. [CrossRef] [Medline]
    10. Kim H, Lee KJ, Lee SO, Kim S. Cervical cancer screening in Korean American women: findings from focus group interviews. Taehan Kanho Hakhoe Chi 2004 Jun;34(4):617-624. [Medline]
    11. Lee HY, Ju E, Vang PD, Lundquist M. Breast and cervical cancer screening disparity among Asian American women: does race/ethnicity matter [corrected]? J Womens Health (Larchmt) 2010 Oct;19(10):1877-1884. [CrossRef] [Medline]
    12. Juon HS, Seung-Lee C, Klassen AC. Predictors of regular Pap smears among Korean-American women. Prev Med 2003 Dec;37(6 Pt 1):585-592. [Medline]
    13. Lee MC. Knowledge, barriers, and motivators related to cervical cancer screening among Korean-American women. A focus group approach. Cancer Nurs 2000 Jun;23(3):168-175. [Medline]
    14. Juon HS, Choi Y, Kim MT. Cancer screening behaviors among Korean-American women. Cancer Detect Prev 2000;24(6):589-601. [Medline]
    15. Ponce NA, Chawla N, Babey SH, Gatchell MS, Etzioni DA, Spencer BA, et al. Is there a language divide in pap test use? Med Care 2006 Nov;44(11):998-1004. [CrossRef] [Medline]
    16. Lee EE, Eun Y, Lee SY, Nandy K. Age-related differences in health beliefs regarding cervical cancer screening among Korean American women. J Transcult Nurs 2012 Jul;23(3):237-245 [FREE Full text] [CrossRef] [Medline]
    17. Im EO, Park YS, Lee EO, Yun SN. Korean women's attitudes toward breast cancer screening tests. Int J Nurs Stud 2004 Aug;41(6):583-589. [CrossRef] [Medline]
    18. Fang CY, Ma GX, Tan Y, Chi N. A multifaceted intervention to increase cervical cancer screening among underserved Korean women. Cancer Epidemiol Biomarkers Prev 2007 Jun;16(6):1298-1302 [FREE Full text] [CrossRef] [Medline]
    19. Moskowitz JM, Kazinets G, Wong JM, Tager IB. "Health is strength": a community health education program to improve breast and cervical cancer screening among Korean American Women in Alameda County, California. Cancer Detect Prev 2007;31(2):173-183. [CrossRef] [Medline]
    20. Maxwell AE, Jo AM, Chin SY, Lee KS, Bastani R. Impact of a print intervention to increase annual mammography screening among Korean American women enrolled in the National Breast and Cervical Cancer Early Detection Program. Cancer Detect Prev 2008;32(3):229-235. [CrossRef] [Medline]
    21. McDonnell DD, Lee HJ, Kim YB, Kazinets G, Moskowitz JM. Cancer coverage in a mainstream and Korean American online newspaper: lessons for community intervention. Patient Educ Couns 2008 Jun;71(3):388-395. [CrossRef] [Medline]
    22. U.S. Department of Health and Human Services. Health information technology and quality improvement: what is mHealth?   URL: http://www.hrsa.gov/healthit/mhealth.html [accessed 2014-08-22] [WebCite Cache]
    23. Patrick K, Raab F, Adams M, Dillon L. mDiet: A personalized approach to weight management using text messaging. In: Fogg BJ, Adler R, editors. Texting 4 Health: A Simple, Powerful Way to Change Lives. Palo Alto, CA: Stanford University; 2009:35-47.
    24. Smith M, Harris L. Text "Ahhhh" for me please. In: Fogg BJ, Adler R, editors. Texting 4 Health. Palo Alto, CA: Stanford University; 2009:49-56.
    25. Riley W, Obermayer J, Jean-Mary J. Internet and mobile phone text messaging intervention for college smokers. J Am Coll Health 2008;57(2):245-248. [CrossRef] [Medline]
    26. Abroms LC, Ahuja M, Kodl Y, Thaweethai L, Sims J, Winickoff JP, et al. Text2Quit: results from a pilot test of a personalized, interactive mobile health smoking cessation program. J Health Commun 2012;17 Suppl 1:44-53 [FREE Full text] [CrossRef] [Medline]
    27. Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med 2009 Feb;36(2):165-173. [CrossRef] [Medline]
    28. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based behavior change or disease management interventions for health care consumers: A systematic review. PLos Med 2013;10(1):e1001362. [CrossRef]
    29. Levine D. Using technology to promote youth sexual health. In: Fogg BJ, Adler R, editors. Texting 4 Health. Palo Alto, CA: Stanford University; 2009:57-65.
    30. Fattor J, Friedlander A. Texting 2 increase physical activity. In: Fogg BJ, Adler R, editors. Texting 4 Health. Palo Alto, CA: Stanford University; 2009:67-74.
    31. Mehta R. Zume life: Creating self-care solutions. In: Fogg BJ, Adler R, editors. Texting 4 Health. Palo Alto, CA: Stanford University; 2009:75-84.
    32. Ryan D, Cobern W, Wheeler J, Price D, Tarassenko L. Mobile phone technology in the management of asthma. J Telemed Telecare 2005;11 Suppl 1:43-46. [CrossRef] [Medline]
    33. Fogg BJ. A behavior model for persuasive design. In: Commun ACM. 2009 Presented at: 4th International Conference on Persuasive Technology; April 26-29, 2009; Claremont, California   URL: http://bjfogg.com/fbm_files/page4_1.pdf
    34. Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol 1983 Jun;51(3):390-395. [Medline]
    35. Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot 1997;12(1):38-48. [Medline]
    36. Champion VL. Instrument refinement for breast cancer screening behaviors. Nurs Res 1993;42(3):139-143. [Medline]
    37. Taylor VM, Jackson JC, Tu SP, Yasui Y, Schwartz SM, Kuniyuki A, et al. Cervical cancer screening among Chinese Americans. Cancer Detect Prev 2002;26(2):139-145 [FREE Full text] [Medline]
    38. Khokhar A. Short text messages (SMS) as a reminder system for making working women from Delhi Breast Aware. Asian Pac J Cancer Prev 2009;10(2):319-322 [FREE Full text] [Medline]
    39. PEW Research Center. Mobile Technology Fact Sheet   URL: http://www.pewinternet.org/fact-sheets/mobile-technology-fact-sheet/ [accessed 2014-07-18] [WebCite Cache]
    40. Miller BA, Chu KC, Hankey BF, Ries LA. Cancer incidence and mortality patterns among specific Asian and Pacific Islander populations in the U.S. Cancer Causes Control 2008 Apr;19(3):227-256 [FREE Full text] [CrossRef] [Medline]
    41. Wang SS, Carreon JD, Gomez SL, Devesa SS. Cervical cancer incidence among 6 Asian ethnic groups in the United States, 1996 through 2004. Cancer 2010 Feb 15;116(4):949-956 [FREE Full text] [CrossRef] [Medline]
    42. Mills PK, Yang RC, Riordan D. Cancer incidence in the Hmong in California, 1988-2000. Cancer 2005 Dec 15;104(12 Suppl):2969-2974 [FREE Full text] [CrossRef] [Medline]

    ‎
    FBM: Fogg’s Behavior Model
    MMS: multimedia message service
    mScreening: mobile phone text-message-based Screening
    SMS: short message service

    Edited by G Eysenbach; submitted 02.06.14; peer-reviewed by K Muessig, C Harrington; comments to author 16.07.14; accepted 28.07.14; published 27.08.14

    Copyright

    ©Hee Yun Lee, Joseph S Koopmeiners, Taeho Greg Rhee, Victoria H Raveis, Jasjit S Ahluwalia. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.08.2014.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.