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. Author manuscript; available in PMC: 2013 Nov 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2012 Sep 12;21(11):1923–1932. doi: 10.1158/1055-9965.EPI-12-0821

Results of a randomized controlled trial testing the efficacy of a culturally-targeted and a generic video on mammography screening among Chinese-American immigrants

Judy Huei-yu Wang 1, Marc D Schwartz 1, Roger L Brown 2, Annette E Maxwell 3, Marion M Lee 4, Inez F Adams 5, Jeanne S Mandelblatt 1
PMCID: PMC3542829  NIHMSID: NIHMS407327  PMID: 22971901

Abstract

Background

Research comparing the effects of culturally-targeted and generic but linguistically appropriate intervention programs is limited. We conducted a randomized controlled trial comparing the efficacy of a culturally-targeted video, a generic video, and a fact sheet (control) in promoting mammography screening among Chinese-American immigrants.

Methods

We randomized 664 Chinese-American women from the Washington, DC and New York City areas who were >40 years and non-adherent to annual mammography screening guidelines to three study arms (each with ~221 women). The outcome was self-reported mammography screening six months post intervention. Measures of knowledge, Eastern cultural views, and health beliefs were administered before and after the intervention.

Results

The culturally-targeted video, the generic video, and the fact sheet increased mammography utilization by 40.3%, 38.5%, and 31.1% from baseline, respectively. A significant intervention effect was observed only in one subgroup: The culturally-targeted video significantly increased mammography screening among low-acculturated women over the fact sheet (OR=1.70, 95% CI=1.04, 2.78). Overall, women who obtained a mammogram during the follow-up period reported significantly fewer barriers to screening after intervention than those who had not obtained screening. Both of the video groups reported fewer barriers after intervention than the control group.

Conclusions

Both theoretically-guided videos increased the likelihood of mammography use to a similar extent. Cultural targeting was only effective for low-acculturated women. Both videos reduced perceived barriers to screening and consequently increased screening behavior.

Impact

The results of this study provide empirical evidence on the efficacy of cultural targeting for minority immigrants.

Keywords: Cultural targeting, Video intervention, Mammography screening, Chinese Americans, Randomized controlled trial

Introduction

In the past decade, many interventions to promote evidence-based mammography screening have been tested in randomized trials (1-6). Because minority and immigrant women in the US consistently underutilize mammography screening (7-10), researchers have endeavored to develop and evaluate interventions that address cultural groups’ unique beliefs and attitudes about cancer screening and deliver messages in line with these characteristics (2, 11-14). These types of interventions are known as culturally-sensitive, -appropriate, -tailored, or -targeted programs (15-18).

While many culturally-targeted programs use indigenous agents and/or native languages to deliver messages in concordance with the target audience’s cultural background (13, 14, 19-23), there is limited evidence about whether cultural-targeting is essential to promoting screening behavior among minority and immigrant populations.

To test the efficacy of a culturally-targeted and a generic intervention on increasing mammography screening, we conducted a randomized controlled trial (RCT) in a Chinese-American sample. We focused on Chinese-Americans because: 1) the mammography screening rate for Chinese-American women—many of whom are immigrants (76%) and do not speak English fluently (~48%) (24)—are lower than other ethnic groups(7, 10); 2) our previous research has demonstrated a relationship between Chinese-American women’s mammography use and their knowledge, cultural beliefs, and access barriers (25, 26); 3) there are few effective mammography promotion programs targeting this growing population (27, 28).

We developed two theoretically guided videos: 1) a culturally-targeted video and 2) a linguistically-appropriate but non-targeted video (hereafter referred to as the cultural video and the generic video). In our preliminary work, these videos were well accepted by Chinese immigrant women and led to increased screening intentions (14). In this paper, we examine the efficacy of the cultural and generic videos in increasing Chinese-American immigrant women’s mammography screening behavior relative to a control group that received a fact sheet. We hypothesized that both videos would increase Chinese women’s mammography use compared to the control group, but that the cultural video would be more efficacious in promoting mammography screening than the generic video, especially among low-acculturated women.

Methods

Study Design

This three-arm RCT was approved by the Georgetown University Institutional Review Board. We used a randomized block design to achieve homogeneous subgroups for analysis of intervention effects. We stratified our participants into eight blocks by three factors: 1) English ability (high vs. low), 2) past mammography use (never vs. ever screened), and 3) study site (Washington DC vs. New York). Within each block, we randomly assigned participants to one of the three arms: 1) view the cultural video; 2) view the generic video; or 3) read a fact sheet (i.e., the print control).

Trained bilingual interviewers utilized a computer assisted telephone interview (CATI) system to conduct baseline and two follow-up assessments. Participants were randomized immediately after they completed baseline assessment. Intervention materials were mailed to participants’ homes within a week after randomization. Two to four weeks after materials were mailed, participants were called to confirm receipt and review of the materials. At that time, the first follow-up survey was administered to collect feedback on the materials and again measure key variables of knowledge, Eastern cultural views of healthcare, and health beliefs since baseline (for process evaluation). Women who had not yet reviewed the materials were asked to do so before the follow-up interview. Results from the process evaluation indicated that all of our participants were able to recall content from key sections of the materials (14). The second follow-up assessment (outcome evaluation) was administered six months post intervention to measure mammography screening behavior. All participants were interviewed in Chinese (Mandarin and Cantonese) languages. Participants received gift cards totaling $35, after completing three telephone assessments. As a retention strategy, we mailed two Chinese, non-cancer related health newsletters (e.g., dementia) every two and a half months post intervention.

Power Estimation

We estimated our sample size based on contrasts of increased screening rates between the control (16%) and each video group (35% and 30% for the cultural and generic videos, respectively). These effect sizes were estimated based on prior research using small media to promote cancer screening among American women including Chinese (29-31). Assuming a two-sided 5% significance level and at least 80% power to detect a minimum 14% difference in screening rates between the video program and the control group, we needed approximately 670 participants at baseline after accounting for 18% attrition. We were not powered to compare the estimated 5% difference in screening rates between the two video groups owing to constrained resources. Figure 1 summarizes the study design and protocol.

Figure 1.

Figure 1

Study Flow Chart and Protocol

Participants and Setting

Eligible women self-identified as Chinese-American; were over the age of 40; lived in the Washington, DC or New York City metropolitan areas; had no personal history of breast cancer; were non-adherent to the American Cancer Society (ACS) annual mammography screening guideline (32), and had no medical appointment for a mammogram within the six months following the enrollment period. Enrollment took place at community events from November 2006 to December 2009. The community outreach method has been described in previous reports (14, 25). Among 991 eligible women, 664 consenting women completed the baseline assessment and were randomized into the three arms (67% response rate). Of the 664, 578 (87%) completed the six-month outcome assessment, but seven who reported having a mammogram before intervention were excluded from the 578 for final analysis. Reasons for withdrawal are specified in Figure 1.

Theoretical Framework

The development of the two videos was guided by the Health Belief Model (HBM). Video messages corresponded to the four main HBM components (perceived susceptibility, perceived severity, perceived benefits, and perceived barriers) and the knowledge variable. Only the cultural video incorporated Chinese cultural beliefs. Specific examples of the script corresponding to the model components have been described in our previous report (14).

Intervention Materials

Guided by our formative research (26), each of the two videos were created in DVD format, lasted about 18 minutes, and included two segments: 1) a soap-opera style production and 2) a female physician’s recommendations. Detailed description of the video content is available in our prior publication (14). We briefly describe the videos below.

Culturally-targeted video

This video depicts a Chinese five-year breast cancer survivor who is celebrating her 50th birthday with friends. The video is designed to debunk Chinese women’s culturally-based beliefs about breast cancer, and attitudes toward regular mammograms. For instance, Chinese women who believe that breast cancer is fatal may alter their views after learning that breast cancer patients can survive and feel well if breast cancer is detected early and treated. Chinese women who stress self-care and perceive themselves to be at extremely low risk for breast cancer may adopt a more accurate risk perception after learning that the survivor in the story also had no family history and had a very healthy lifestyle prior to her diagnosis. After the soap-opera style story, a female Chinese physician provides Asian breast cancer incidence data for different age groups and explains that radiation from mammography does not harm the body. She uses a breast model to explain the difference between the size of lumps found during breast self-examination and mammography. The video was developed in Mandarin, dubbed in Cantonese, and included Chinese and English subtitles.

Generic video

The generic video targets common issues on mammography use across different racial/ethnic groups, including knowledge, beliefs (e.g., fatalism), perceived barriers to care, and perceived risk for breast cancer (33-43). The soap opera components shows African-American, Hispanic, Caucasian, Chinese, Korean, and Filipino women chatting about their breast health during their office lunch break. A non-Asian female physician delivers messages similar to those in the cultural video, except she presents breast cancer incidence data pertinent to the general population. The physician and all actors speak English. The video is dubbed in Mandarin and Cantonese and includes Chinese and English subtitles. According to our process evaluation of the two videos (14), they are equally acceptable among our target population.

Control condition - Fact sheet

Women in the control group were mailed a Chinese breast cancer fact sheet. The two-sided color-printed sheet included concise information about the development of breast cancer, Asian women’s risk for breast cancer, breast cancer symptoms, and ACS breast cancer screening guidelines.

Information regarding local low-cost and free mammography screening programs was included in the two videos and printed materials.

Measures

Outcome Measure

The main outcome measure was self-reported receipt of mammography screening in the six months post intervention. Screening was not verified by medical records; however, women were asked where and when they obtained mammograms and the name of the referring physician. In the intention-to-treat analysis, women who did not participate in the six-month outcome assessment were coded as non-screening. Our main predictor for the outcome analysis was group assignment.

Key variables

We used previously validated instruments to measure theoretical constructs of knowledge, Eastern cultural views of healthcare, and four HBM components at baseline and 2-4 weeks follow-up (14).

Knowledge regarding breast cancer and screening was measured with 10 questions on a yes/no/don’t know scale (e.g., “Breast cancer only occurs when women have a family history.”) (25). A correct response was scored as 1 and an incorrect or “don’t know” response was scored as 0. The overall knowledge scores ranged from 0 to 10.

Eastern cultural views of healthcare were assessed by two subscales: fatalism and self-care were adapted from the Chinese Cultural Views of Healthcare scale and reliable at .82 and .73, respectively (44). The 9-item fatalism (e.g., I cannot control my destiny) and 4-item self-care (e.g., I don’t visit doctors if I’m not feeling sick) scales were found to predict Chinese-Americans’ cancer screening behaviors in previous studies (25, 45). Since Chinese fatalism refers to various concepts such as luck, karma, and a law of nature, and is different from the Western God concept (46, 47), we described fatalism as a cultural construct. Responses to all items ranged from 1=strongly disagree to 5=strongly agree. High mean scores on the sum of the two scale scores indicate higher Eastern cultural views.

Health Beliefs were measured with four validated subscales: perceived susceptibility, severity, benefits, and barriers from the Chinese Mammogram Screening Beliefs Questionnaire (48). The subscales were reliable in a range from .52 to .82 in our study sample. The range of response options to all 33 items was 1=strongly disagree to 5=strongly agree. High mean scores indicate higher health beliefs for each particular construct.

Covariates

We assessed demographic characteristics (i.e., age, education, marital status, annual income, employment, English ability, and years of US residency) and medical access factors (i.e., health insurance, a regular doctor, and a doctor recommendation for screening) at baseline. We assessed English ability in reading, listening, speaking, and writing with a 4-item scale (49) , which was reliable at .97 in multiple Chinese-American populations (14, 26). Self-rating of all four aspects as “good” or “very good” was considered as having good English ability.

Acculturation was dichotomized based on English ability and years of US residency (26, 49-52). Participants who had good English ability and resided in the US for more than 10 years were categorized as highly acculturated. All others were categorized as low-acculturated.

Data Analysis

We first evaluated baseline differences between study arms with respect to demographic characteristics, medical access factors, and key variables to assess the balance across study arms. Next, we examined the main intervention effect using logistic regression including two models: 1) using intention-to-treat analysis (N=664) and, 2) analyzing a reduced model that included only women who completed the six-month outcome assessment (N=571). Model 2 excluded 7 women who reported receipt of a mammogram after the baseline interview but prior to the intervention. We ran the standard (maximum likelihood estimates) and Bayesian approaches to obtain treatment effect parameters. The two approaches generated similar estimates. We reported the Bayesian estimates because research has demonstrated that Bayesian estimates using the Markov Chain Monte Carlo (MCMC) algorithm are generally superior to the maximum likelihood estimates (53), which include having higher coefficient stability, minimizing standard error, and simple interpretation of credible interval (CI). Using the 571 women, we conducted the same modeling approach to examine screening differences by subgroups of interest (i.e., acculturation level and past mammography use). We also conducted six linear regression models to examine whether women who obtained a mammogram had higher knowledge, lower Eastern cultural views, and more positive attitudes to screening post-intervention after adjusting for group assignment. The models included interaction terms between group assignment and screening outcomes. In all analyses, we controlled for baseline differences for all tested models, if there were any. The Bayesian logistic regression was estimated using MLwiN Version 2.13 software (54) and the linear regression models were run using SAS version 9.2.

Results

Participants in the three groups did not differ in demographics, health access, and key variables, except that the generic video group’s mean scores on perceived susceptibility and severity at baseline were significantly higher than the cultural video and control groups (see Table 1). The overall sample had averaged 13.58 years of US residency. Approximately 64% of them had poor English ability. The majority of our 571 participants (71.2%) were low-acculturated and about one-third (33%) had never had a mammogram. Never screened women were more likely than ever screened women to be low-acculturated (84.1% vs. 65.2%, respectively, p<.0001).

Table 1.

Sample Characteristics by Study Group at Baseline

Women randomized after baseline interview (N=664)
Women who completed follow-up survey (N=571)a
Cultural video
(n=225)
Generic video
(n=217)
Control group
(n=222)
P
value
Cultural video
(n=191)
Generic video
(n=187)
Control group
(n=193)
P
value


Categorical variables n % n % n % n % n % n %
College-educated 130 57.8 127 58.5 126 56.8 0.93 116 60.7 112 59.9 113 58.6 0.91
Married 168 74.7 164 75.6 173 77.9 0.71 145 75.9 145 77.5 153 79.3 0.73
Annual income ≤ $20,000 101 51.5 97 50.3 101 50.2 0.96 80 47.1 80 47.3 85 48.9 0.94
Employed 124 55.1 116 53.7 116 52.2 0.83 102 53.4 99 53.2 97 50.3 0.79
≤ 10 years U.S. residency 103 45.8 98 45.2 94 42.3 0.74 81 42.4 79 42.3 82 42.5 0.99
Poor English proficiency 146 64.9 141 65.0 147 66.2 0.95 120 62.8 120 64.2 125 64.8 0.92
Insured 137 60.9 129 59.4 126 56.8 0.67 121 63.4 112 59.9 113 58.6 0.61
Had doctor recommendation 95 42.4 92 42.6 97 43.7 0.96 89 46.6 78 41.9 83 43.0 0.63
Ever screenedb 95 65.3 92 67.3 97 64.4 0.81 89 66.5 78 69.0 83 65.3 0.74
Continuous variables n Mean
(SD)
n Mean
(SD)
n Mean
(SD)
P value n Mean
(SD)
n Mean
(SD)
n Mean
(SD)
P
value
Age
(Age range: 40.5 to 86)
225 56.03
(10.80)
217 55.23
(10.45)
222 56.01
(11.32)
0.68 191 56.20
(10.65)
187 55.10
(10.14)
193 56.16
(11.43)
0.53
Knowledge
(score range: 1 to10)
224 7.65
(1.66)
217 7.71
(1.67)
222 7.73
(1.45)
0.83 191 7.68
(1.62)
187 7.75
(1.64)
193 7.79
(1.40)
0.78
Eastern cultural views
(score range: 13 to 65)
225 35.15
(6.39)
217 35.00
(6.33)
222 35.08
(6.16)
0.97 190 35.11
(6.25)
187 34.60
(5.72)
193 35.11
(6.32)
0.64
Perceived susceptibility
(score range: 3 to 15)
225 10.27
(2.06)
217 10.67
(1.92)
222 10.22
(2.06)
0.04* 191 10.24
(2.02)
187 10.71
(1.93)
193 10.28
(2.05)
0.04*
Perceived severity
(score range: 5 to 25)
225 19.20
(2.36)
217 19.80
(2.34)
222 19.30
(2.33)
0.02* 191 19.16
(2.37)
187 19.77
(2.40)
193 19.36
(2.33)
0.04*
Perceived benefits
(score range: 6 to 30)
225 24.59
(2.06)
216 24.91
(2.23)
222 24.52
(2.50)
0.16 191 24.64
(2.03)
187 24.97
(2.29)
193 24.53
(2.62)
0.16
Perceived barriers
(score range:19 to 95)
225 50.60
(8.32)
217 49.34
(8.96)
222 50.63
(8.78)
0.21 191 50.13
(8.36)
186 48.98
(8.91)
193 50.48
(8.99)
0.22

Note Chi-square tests and ANOVA tests were performed to compare group difference with respect to categorical and continuous variables at baseline, respectively. The range of scores was provided only for the continuous variables. Higher mean scores mean higher knowledge, Eastern cultural views, perceived susceptibility, severity, benefits, and barriers. SD=standard deviation.

a

The 571 women did not include the seven women who reported having obtained a mammogram before intervention.

b

Women who ever had a mammogram had their most recent mammogram more than one year prior to enrollment.

*

p<.05

Efficacy of the Videos on Increasing Mammography Screening Behavior

Results from Bayesian logistic regression, both from the intention-to-treat models and from the reduced models, showed that neither the cultural nor the generic video significantly increased mammography utilization among Chinese immigrant women as compared to the fact sheet (see Table 2) after adjusting for potential confounders. Since we did not know the screening outcome among women lost-to-follow-up, we examined the intervention effects among the subgroups of interest based on the 571 women. Figure 2 describes the crude proportions of the 571 women in the three arms of the study and among subgroups of interest.

Table 2.

Video Intervention Effects on Self-Reported Receipt of Mammography Screening Behavior at Six Months Post-Intervention among Chinese Immigrant Women

Intention-to-treat model among
all randomized women (N=664)
Women who completed 6-month
follow-up survey (N=571)a
Parameter
(SE)
OR
(95% CI)
Parameter
(SE)
OR
(95% CI)
Intercept −1.08
(0.72)
0.34
(0.08, 1.40)
−0.79
(0.16)
0.46*
(0.33, 0.62)
Culturally-targeted video (vs. control) 0.31
(0.20)
1.37
(0.92, 2.04)
0.40
(0.22)
1.49
(0.97, 2.28)
Generic video (vs. control) 0.26
(0.21)
1.30
(0.87, 1.96)
0.32
(0.22)
1.37
(0.89, 2.11)
Baseline perceived susceptibilityb −0.004
(0.04)
1.00
(0.92, 1.08)
−0.01
(0.05)
0.99
(0.90, 1.08)
Baseline perceived severityb 0.01
(0.04)
1.01
(0.94, 1.09)
0.01
(0.04)
1.01
(0.93, 1.08)

Note. All the logistic regression models were adjusted for baseline perceived susceptibility and severity because these two baseline scores were significantly different between groups. SE= standard error.

a

Participants who obtained a mammogram prior to the start of intervention(n=7) were eliminated from this analysis.

b

Grand mean centered.

*

p<.001;

p=.07.

Figure 2.

Figure 2

Increased Percentage Points of Self-Reported Mammography Screening Behavior at Six Months Post-Intervention by the 571 Women and by Subgroups

In subgroup analyses (see Table 3), the cultural video led to a significantly greater increase in mammography use over the control group among low-acculturated women, but not among high-acculturated women. The generic video was not associated with increased mammography (as compared to the control group) for either the low- or high-acculturation groups. Among the subgroup of women who had never had a mammogram, neither intervention led to a statistically significant increase in the odds of obtaining a mammogram compared to the print control. Although not significant, the cultural video did lead to an 81% increase in the odds of obtaining a mammogram compared with the print control--an effect that might be meaningful if validated in a larger sample.

Table 3.

Video Intervention Effects by Subgroups of Women Who Self-Reported Receipt of Mammography Screening Behavior at Six Months Post-Intervention (N=571)a

High acculturation
(n=163)
Low acculturation
(n=408)
Ever screeners
(n=382)
Never screeners
(n=189)
Parameter
(SE)
OR
(95% CI)
Parameter
(SE)
OR
(95% CI)
Parameter
(SE)
OR
(95% CI)
Parameter
(SE)
OR
(95% CI)
Intercept −0.42
(0.27)
0.66
(0.38, 1.12)
−0.98
(0.19)
0.37
(0.26, 0.54)
−0.47
(0.19)
0.63
(0.43, 0.90)
−1.57
(0.33)
0.21
(0.11, 0.40)
Culturally-targeted video (vs. control) 0.21
(0.39)
1.23
(0.57, 2.65)
0.53
(0.25)
1.70*
(1.04, 2.78)
0.32
(0.26)
1.37
(0.83, 2.28)
0.60
(0.43)
1.81
(0.78, 4.21)
Generic video (vs. control) 0.17
(0.40)
1.19
(0.54, 2.60)
0.42
(0.25)
1.52
(0.93, 2.49)
0.25
(0.26)
1.29
(0.77, 2.14)
0.39
(0.46)
1.48
(0.60, 3.65)
Baseline perceived susceptibilityb −0.01
(0.08)
0.99
(0.85, 1.16)
−0.02
(0.06)
0.98
(0.87,1.09)
−0.04
(0.05)
0.96
(0.87, 1.07)
0.06
(0.09)
1.06
(0.89, 1.27)
Baseline perceived severityb 0.03
(0.07)
1.03
(0.90, 1.17)
−0.01
(0.05)
0.99
(0.90, 1.08)
0.06
(0.05)
1.07
(0.98, 1.16)
−0.19
(0.09)
0.83
(0.70, 0.98)

Note. All the logistic regression models were adjusted for baseline perceived susceptibility and severity because these two baseline scores were significantly different between groups. SE= standard error.

a

Partipants who obtained a mammogram prior to the start of intervention(n=7) were eliminated from this analysis.

b

Grand mean centered.

*

p<.05

Association of Key Variables with Screening Outcomes

Results from the linear regression models (Table 4) indicated that only post-intervention mean scores on perceived barriers were significantly and negatively associated with Chinese women’s mammography screening behavior (p=.0003) after controlling for group assignment. In other words, women who had obtained a mammogram by the six months post intervention had a significantly lower post-intervention mean score on perceived barriers (adjusted mean=40.35, SD=6.38) than those who had not obtained (adjusted mean=43, SD=6.37). In addition, both the cultural and generic video groups reported significantly fewer perceived barriers at follow-up (adjusted mean=47.34, SD=7.49 and adjusted mean=46.59, SD=7.51, respectively) than the control group (adjusted mean=49.10, SD=7.47, both p<.05).

Table 4.

Associations of Post-Intervention Knowledge, Eastern Cultural Views, and Health Belief Model Constructs with Screening Outcomes Controlling for Group Assignment: Fixed Model Results from Linear Regression Models (N=571)

Dependent variables: Post-intervention scale scores
Knowledge Eastern
cultural views
Perceived
susceptibility
Perceived
severity
Perceived
benefits
Perceived
barriers
Independent variables Beta
(SE)
Beta
(SE)
Beta
(SE)
Beta
(SE)
Beta
(SE)
Beta
(SE)
Intercept 7.66****
(0.40)
30.84****
(2.24)
6.26****
(0.62)
12.81****
(0.71)
21.88****
(0.69)
45.72****
(2.50)
Culturally-targeted video
(vs. control group)
0.33
(0.18)
−1.17
(0.98)
−0.13
(0.27)
−0.03
(0.31)
0.17
(0.30)
−0.55
(1.09)
Generic video
(vs. control group)
0.25
(0.18)
−0.25
(0.99)
0.12
(0.28)
0.17
(0.31)
0.68*
(0.31)
−0.90
(1.11)
Mammography use: Yes (vs. no) 0.11
(0.16)
−1.56
(0.88)
0.43
(0.25)
−0.14
(0.28)
−0.03
(0.27)
−3.56***
(0.99)
Baseline perceived susceptibility 0.04
(0.02)
−0.35*
(0.12)
0.39****
(0.03)
−0.03
(0.04)
−0.00
(0.04)
−0.35*
(0.14)
Baseline perceived severity 0.03
(0.02)
0.20
(0.10)
0.03
(0.03)
0.33****
(0.03)
0.13****
(0.03)
−0.07
(0.12)
Cultural video X mammography use −0.02
(0.22)
−0.71
(1.22)
−0.51
(0.34)
−0.05
(0.38)
−0.24
(0.37)
0.95
(1.36)
Generic video X mammography use −0.26
(o.22)
1.62
(1.23)
−0.32
(0.34)
−0.04
(0.39)
0.06
(0.38)
1.78
(1.38)

Note. Group differences in perceived susceptibility and severity at baseline were controlled for in the linear regression analyses. SE= standard error.

*

p<.05

***

p<.001

****

p<.0001.

Discussion

The results of this study provide empirical evidence on the efficacy of cultural targeting for minority immigrants. Our findings suggest that, overall, cultural targeting may not be needed to increase mammography screening among Chinese immigrants. Compared with the print condition, neither of the videos was superior to promoting mammography use among Chinese immigrants; however, a culturally-targeted approach seems to be more efficacious in increasing screening among immigrants at the lowest acculturation level. The actual receipt of mammography screening was likely related to women’s reduced perception of screening barriers after intervention.

Our finding that the generic video and culturally-targeted video increased mammography screening to a similar extent refutes the argument that cultural targeting of interventions is essential for minority and immigrant populations. This could be because the two videos contained similar information and both addressed common beliefs and attitudes. The culturally-targeted video only added a few components that were culturally specific for Chinese-American women (14). Previous research has suggested that a culturally sensitive program can be effective in promoting mammography screening only when the intervention program also addresses informational and behavioral barriers (55). In our prior research, the generic video reduced Chinese women’s perception of fatalism and self-care to a similar extent as the cultural video (14). It should be noted that the generic video is linguistically appropriate and has a multiethnic cast that includes Asians, so it is relatively easy for Chinese immigrants to understand the messages, identify with the story, and increase their knowledge and positive attitudes towards mammography (14). This might explain why the two videos have led to comparable screening outcomes.

The video interventions were not significantly different in screening outcomes from the fact sheet because the latter had a much larger than expected effect. For ethical reasons, we decided to provide information to women in the control group. As noted in Figure 2, the fact sheet motivated highly acculturated or ever screened women to a greater extent (~38%) than low-acculturated (28%) or never screened women (18%). The intervention materials plus the three telephone interviews might have prompted women to obtain mammograms, particularly those with prior screening experience. However, the three telephone interviews were administered to all participants and were held constant for evaluating the intervention effects. Given that our video programs did not directly resolve access barriers (e.g., providing patient navigators or free mammograms), and approximately 71% of our participants were low-acculturated and often meet greater challenges to accessing care, it is not surprising that the overall impact of the video programs relative to the print control are varied by subgroups.

Our trial is the first of which we are aware that demonstrates the impact of cultural targeting on screening behavior by women’s acculturation level. The results support our hypothesis that cultural targeting is more important for low-acculturated women. Recently immigrated women and those with limited English ability often find assimilation into the US cultural environment to be challenging (56). Hence, low-acculturated women may find it easier to relate to the cultural video, which had Chinese cultural features and an all-Chinese cast than to the generic video. Motivation theorists state that when people can relate to an event, their level of involvement increases, which subsequently facilitates learning and outcomes (57). In contrast, highly acculturated Chinese women are immersed in American culture; consequently, they might be less sensitive to the contextual differences between the two video programs (e.g., the setting and the actors’ ethnic backgrounds). We found that all of our materials were equally useful in motivating highly acculturated or ever screened women to obtain a mammogram. A few intervention trials among Asians and Pacific Islanders reported similar results where culturally-targeted programs significantly increased mammography use only among new immigrants and never screened women (21, 58). Note that most of our Chinese participants who had never had a mammogram (84%) were low-acculturated. In short, since the cultural video was not less effective for more acculturated and was more effective for the less acculturated, there seems to be no downside of using it with all Chinese-speaking women to promote their overall mammography screening rates.

Consistent with prior studies among multiple ethnic groups (4, 6, 20, 21), our study showed that health theory-guided interventions have a positive impact on mammography utilization among Chinese immigrant women who are non-adherent to mammography screening guidelines. However, with respect to the Health Belief Model constructs, our results showed that only perceived barriers significantly explained the actual receipt of mammography screening. In all study arms, Chinese women who perceived fewer access barriers to screening and were less concerned about discomfort and inconvenience related to obtaining a mammogram were more likely to obtain a mammogram during the follow-up period. Our research has demonstrated that both of our videos significantly reduced women’s perceptions of barriers to mammography and increased their knowledge and acceptance of Western views of care (14). However, our current results did not suggest that post-intervention scores on knowledge and culturally-based views explained mammography utilization as expected. It is understandable that conceptual changes may not lead to a behavioral change when practical barriers persist. Our results imply that providing educational information may trigger efforts to overcome practical barriers and consequently obtain a mammogram.

The major caveat of this study is that the screening outcome is based on self-reports. Future intervention trials in this underserved immigrant population should verify self-report data with medical records to confirm current findings. Second, participants were enrolled through community settings, which is advantageous for recruiting those who are hard to reach and have no access to clinical care (59). In addition, we had a narrow range of acculturation levels among our immigrant women who were drawn from two Chinese-populated metropolitan areas and were all Chinese speaking. Both of these facts are limiting the generalization of our results. Third, this study was not able to examine whether the two videos have long-term behavioral effects in our target population.

Very few intervention studies found significant effects in increasing mammography screening among Chinese-American populations (27). This RCT specifically targeted non-adherent Chinese women and has novel results to inform future intervention research on this growing immigrant group. Our DVD tools are low cost, easily disseminated, and can be readily incorporated into community workshops and clinical settings. A pilot study showed that utilizing the culturally-targeted video in community workshops was likely to augment the video effects in this target group (28). Findings from this study suggest that making intervention programs culturally appropriate is useful for targeting a specific cultural group. On the other hand, intervention programs that can address common barriers for multi-ethnic populations and are linguistically adaptable also have the potential to efficiently promote overall cancer screening behaviors. This is a new and important finding, given the growing diversity of the US society and limited resources to develop different programs for each of the many ethnic groups.

Acknowledgments

Grant support: This study was supported by the American Cancer Society Mentored Research Grant (grant #MRSGT-05-104-01-CPPB to JH Wang), National Cancer Institute R03 CA117552 to JH Wang), Susan G. Komen for the Cure (POP0504327 to JH Wang), and the National Cancer Institute Established Investigator Award (grant # K05 CA96940 to JS Mandelblatt).

Footnotes

Conflict of Interest: None

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