Hepatitis B disproportionately affects Asian Americans. Because outreach to promote testing and vaccination can be intensive and costly, we assessed the feasibility of an efficient strategy to identify Asian Americans at risk. Prior research with California's statewide toll-free phone service where low-income women call for free cancer screening found 50% of English-and Spanish-speaking callers were willing to participate in a study on health topics other than cancer screening. The current study ascertained whether Asian Americans could be recruited. Among 200 eligible callers, 50% agreed to take part (95% confidence interval 43%-57%), a rate comparable to our previous study. Subsequent qualitative interviews revealed that receptivity to recruitment was due to trust in the phone service and women's need for health services and information. This was a relatively low-intensity intervention in that, on average, only five minutes additional call time was required to identify women at risk and provide a brief educational message. Underserved women from diverse backgrounds may be reached in large numbers through existing communication channels.
[Show abstract][Hide abstract] ABSTRACT: Identification of low-income women with the rare but serious risk of hereditary cancer and their referral to appropriate services presents an important public health challenge. We report the results of formative research to reach thousands of women for efficient identification of those at high risk and expedient access to free genetic services. External validity is maximized by emphasizing intervention fit with the two end-user organizations who must connect to make this possible. This study phase informed the design of a subsequent randomized controlled trial.
We conducted a randomized controlled pilot study (n = 38) to compare two intervention models for feasibility and impact. The main outcome was receipt of genetic counseling during a two-month intervention period. Model 1 was based on the usual outcall protocol of an academic hospital genetic risk program, and Model 2 drew on the screening and referral procedures of a statewide toll-free phone line through which large numbers of high-risk women can be identified. In Model 1, the risk program proactively calls patients to schedule genetic counseling; for Model 2, women are notified of their eligibility for counseling and make the call themselves. We also developed and pretested a family history screener for administration by phone to identify women appropriate for genetic counseling.
There was no statistically significant difference in receipt of genetic counseling between women randomized to Model 1 (3/18) compared with Model 2 (3/20) during the intervention period. However, when unresponsive women in Model 2 were called after 2 months, 7 more obtained counseling; 4 women from Model 1 were also counseled after the intervention. Thus, the intervention model that closely aligned with the risk program's outcall to high-risk women was found to be feasible and brought more low-income women to free genetic counseling. Our screener was easy to administer by phone and appeared to identify high-risk callers effectively. The model and screener are now in use in the main trial to test the effectiveness of this screening and referral intervention. A validation analysis of the screener is also underway. Conclusion: Identification of intervention strategies and tools, and their systematic comparison for impact and efficiency in the context where they will ultimately be used are critical elements of practice-based research.
Public Health Genomics 01/2012; 15(3-4):172-80. DOI:10.1159/000336419 · 2.21 Impact Factor
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