| Literature DB >> 24274380 |
Yoko Kobayashi1, Patrick Boudreault, Karin Hill, Janet S Sinsheimer, Christina G S Palmer.
Abstract
BACKGROUND: Recruiting deaf and hard-of-hearing participants, particularly sign language-users, for genetics health service research is challenging due to communication barriers, mistrust toward genetics, and researchers' unfamiliarity with deaf people. Feelings of social exclusion and lack of social cohesion between researchers and the Deaf community are factors to consider. Social marketing is effective for recruiting hard-to-reach populations because it fosters social inclusion and cohesion by focusing on the targeted audience's needs. For the deaf population this includes recognizing their cultural and linguistic diversity, their geography, and their systems for information exchange. Here we use concepts and language from social marketing to evaluate our effectiveness to engage a U.S. deaf population in a prospective, longitudinal genetic counseling and testing study.Entities:
Mesh:
Year: 2013 PMID: 24274380 PMCID: PMC3924226 DOI: 10.1186/1471-2288-13-145
Source DB: PubMed Journal: BMC Med Res Methodol ISSN: 1471-2288 Impact factor: 4.615
Figure 1Deaf genetics project study protocol. Note: YO = years old.
Figure 2Social marketing framework used by deaf genetics project. Note: GTC = genetic testing and counseling; UCLA = University of California Los Angeles; CSUN = California State University Northridge; CSDF = California School for the Deaf-Fremont; CSDR = California School for the Deaf-Riverside.
Figure 3Deaf genetics project logo.
Sample characteristics (N = 271)
| | |
| ASL | 179 (66.1) |
| ASL + English | 54 (19.9) |
| English | 34 (12.6) |
| Other | 4 (1.5) |
| 45.8 (15.8) | |
| 158 (58.3) | |
| | |
| Non-Hispanic Caucasian | 199 (77.73) |
| Hispanic | 30 (11.72) |
| Asian | 23 (8.98) |
| Other | 4 (1.56) |
| 137 (53.94) | |
| $35,000 - $50,000 | |
| | |
| Deaf community | 140 (55.12) |
| Deaf and Hearing communities (Bicultural) | 90 (35.43) |
| Hearing community | 18 (7.09) |
| Neither community | 6 (2.36) |
Distribution of communication technologies, participation locations, and recruitment channels by participant language
| | | |||
|---|---|---|---|---|
| 179 | 54 | 34 | 271 | |
| | | | | |
| Email | 93.3 | 100 | 100 | 95.6 |
| Videophone | 62.0 | 62.9 | 11.8 | 55.7 |
| Pager | 60.3 | 59.3 | 11.8 | 53.5 |
| Telephone | 21.8 | 16.7 | 70.6 | 26.6 |
| TTY | 5.6 | 7.4 | 8.8 | 7.0 |
| Text cell phone | 2.2 | 9.3 | 5.9 | 4.1 |
| Voice to text phone | 0 | 0 | 2.9 | 0.4 |
| Sign language inclusive | 90.5 | 88.9 | 26.5 | 82.0 |
| | | | | |
| University of California Los Angeles | 38.6 | 33.3 | 64.7 | 40.6 |
| California State University Northridge | 20.1 | 33.3 | 20.6 | 23.6 |
| California School for the Deaf Fremont | 25.1 | 18.5 | 11.8 | 21.8 |
| California School for the Deaf Riverside | 16.2 | 14.8 | 2.9 | 14.0 |
| | | | | |
| Community events | 46.9 | 42.9 | 3.6 | 41.2 |
| Organizations | 27.4 | 24.3 | 42.9 | 28.4 |
| Personal media | 21.3 | 32.1 | 26.5 | 23.9 |
| Mass media | 4.3 | 6.1 | 21.4 | 6.6 |
aIncludes n = 4 who used other communication forms, e.g., signed English, Pidgin Sign English.
Logistic regression analyses: effect of participant language on communication technologies, participation location, and recruitment channel
| | ||||||
|---|---|---|---|---|---|---|
| Video phone | 9.83 | 10.16 | 1.50 | 0.73 | 1.35 | |
| | (3.26, 29.67) | (3.06, 33.80) | (0.88, 2.56) | (0.43, 1.26) | (0.79, 2.33) | |
| Pager | 19.12 | 12.91 | 2.28 | 1.12 | 0.84 | |
| | (5.42, 67.40) | (3.42, 48.79) | (1.31, 3.97) | (0.65, 1.93) | (0.49, 1.46) | |
| Voice telephone | 0.12 | 0.09 | 1.17 | 0.93 | 1.12 | |
| | (0.05, 0.28) | (0.03, 0.26) | (0.64, 2.14) | (0.51, 1.72) | (0.61, 2.06) | |
| Sign language inclusive | 35.18 | 21.96 | 1.18 | 3.88 | 0.70 | |
| | (11.96, 103.42) | (6.37, 75.65) | (0.51, 2.74) | (1.60, 9.43) | (0.31, 1.59) | |
| Community-basedc | 2.72 | 3.39 | 0.96 | 1.42 | 1.08 | |
| | (1.20, 6.14) | (1.31, 8.74) | (0.57, 1.62) | (0.84, 2.37) | (0.66, 1.62) | |
| Community-basedd | 1.49 | 3.01 | 0.83 | 1.43 | 0.90 | |
| | (0.53, 4.17) | (0.95, 9.51) | (0.41, 1.68) | (0.73, 2.81) | (0.45, 1.79) | |
| Community evente | 23.18 | 19.63 | -- | -- | -- | |
| | (3.60, 976.77) | (2.69, 879.57) | -- | -- | -- | |
| Organization | 0.69 | 0.52 | 1.31 | 0.65 | 1.17 | |
| | (0.27, 1.74) | (0.17, 1.61) | (0.67, 2.54) | (0.34, 1.24) | (0.62, 2.23) | |
| Personal media | 0.51 | 0.64 | 1.75 | 0.84 | 0.93 | |
| | (0.20, 1.32) | (0.21, 1.92) | (0.86, 3.54) | (0.43, 1.64) | (0.47, 1.84) | |
| Mass media | 0.13 | 0.22 | 0.59 | 1.91 | 1.02 | |
| (0.04, 0.48) | (0.05, 1.04) | (0.20, 1.77) | (0.63, 5.80) | (0.34, 3.09) | ||
aReference group for: Language = English-users; Education = < BA degree; Age = < 44 years; Gender = Male.
bCI = Confidence Interval.
cOdds ratios = odds of participating at community-based location rather than medically-based location.
dOdds ratios = odds of participating at California State University Northridge rather than University of California Los Angeles.
eUnadjusted exact logistic regression analysis was performed due to small numbers of English-users.