| Literature DB >> 36138397 |
Deborah Neffa-Creech1, Aaron Plant2, Jorge A Montoya2, Rangell Oruga3, Elizabeth A Kilgore4, Renee Fraser4, Lello Tesema3.
Abstract
BACKGROUND: This study describes the development and impact of a social marketing campaign in early 2020 intended to prevent and reduce methamphetamine use in Los Angeles County (LAC). We used social marketing principles and the transtheoretical model to design the campaign, which was intended to avoid stigmatization of methamphetamine users and communicate compassion, empathy, and support.Entities:
Keywords: Campaign development; Evaluation; Mass media campaign; Methamphetamine; Prevention; Social marketing; Treatment
Mesh:
Substances:
Year: 2022 PMID: 36138397 PMCID: PMC9493153 DOI: 10.1186/s12889-022-14180-y
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 4.135
Differences in participant background characteristics and campaign outcomes by exposure to Meth-Free L.A. County campaign
| No | Overall | Exposed | Not exposed | Bivariate estimate of exposure | |
|---|---|---|---|---|---|
| % or | OR (95% CI) or t-test | ||||
| Race/ethnicity | |||||
| White (non-Hispanic) | 650 | 35.4 | 27.7 | 72.3 | 1 (Ref) |
| Black (non-Hispanic) | 235 | 12.8 | 27.7 | 72.3 | 1.00 (0.71, 1.39) |
| Hispanic or Latinx | 539 | 29.4 | 23.0 | 77.0 | 0.78 (0.60, 1.02) |
| Asian (non-Hispanic) | 179 | 9.8 | 13.4 | 86.6 | 0.40*** (0.25, 0.64) |
| Mixed racea | 205 | 11.2 | 24.4 | 75.6 | 0.84 (0.59, 1.21) |
| Other (non-Hispanic) | 26 | 1.4 | 19.2 | 80.8 | 0.62 (0.23, 1.67) |
| Gender | |||||
| Female | 755 | 40.3 | 20.4 | 79.6 | 1 (Ref) |
| Male | 1065 | 56.9 | 26.9 | 73.1 | 1.44*** (1.15, 1.80) |
| Other or unsure | 53 | 2.8 | 32.1 | 67.9 | 1.84* (1.01, 3.37) |
| Age (range: 18–70) | 1873 | 30.7 (9.86) | 30.6 (9.50) | 30.7 (9.98) | |
| Education | |||||
| High school degree or less | 354 | 18.9 | 26.0 | 74.0 | 1 (Ref) |
| Some college or trade school | 508 | 27.1 | 22.6 | 77.4 | 0.83 (0.61, 1.14) |
| College degree | 691 | 36.9 | 24.0 | 76.0 | 0.90 (0.67, 1.21) |
| Graduate work or degree | 320 | 17.1 | 26.6 | 73.4 | 1.03 (0.73, 1.45) |
| Annual household income | |||||
| ≤ $30,000 | 634 | 35.8 | 25.4 | 74.6 | 1 (Ref) |
| $30,001-$60,000 | 483 | 27.3 | 23.0 | 77.0 | 0.88 (0.66, 1.16) |
| $60,001 or higher | 653 | 36.9 | 25.9 | 74.1 | 1.03 (0.80, 1.32) |
| Meth use history | |||||
| Never | 1485 | 81.1 | 20.8 | 79.2 | 1 (Ref) |
| Over 12 months ago | 176 | 9.6 | 34.1 | 65.9 | 1.97*** (1.41, 2.75) |
| Over 30 days-12 months ago | 63 | 3.4 | 49.2 | 50.8 | 3.69*** (2.21, 6.14) |
| In the past 30 days | 107 | 5.8 | 43.0 | 57.0 | 2.87*** (1.92, 4.29) |
| Men who have sex with men, ages 18–70 | |||||
| No | 1202 | 64.2 | 22.9 | 77.1 | 1 (Ref) |
| Yes | 671 | 35.8 | 27.3 | 72.7 | 1.26* (1.02, 1.57) |
| Adults in higher-risk jobsb, ages 18–35 | |||||
| No | 926 | 49.4 | 21.2 | 78.8 | 1 (Ref) |
| Yes | 947 | 50.6 | 27.7 | 72.3 | 1.42*** (1.15, 1.76) |
| Adults who live in higher-risk zip codes, ages 18–35 | |||||
| No | 1019 | 54.4 | 23.7 | 76.3 | 1 (Ref) |
| Yes | 854 | 45.6 | 25.4 | 74.6 | 1.10 (0.89, 1.36) |
| Adults unemployed at least 9 months in the past year, ages 18–35 | |||||
| No | 1472 | 78.6 | 24.8 | 75.2 | 1 (Ref) |
| Yes | 401 | 21.4 | 23.2 | 76.8 | 0.92 (0.71, 1.19) |
| Adults who experienced homelessness in the past year, ages 18–35 | |||||
| No | 1673 | 89.3 | 22.4 | 77.6 | 1 (Ref) |
| Yes | 200 | 10.7 | 41.5 | 58.5 | 2.45*** (1.81, 3.33) |
| COVID-19-related factors scale (5 = | 1518 | 3.57 (0.78) | 3.62 (0.78) | 3.55 (0.78) | |
| Negative attitudes towards meth use (5 = | 1873 | 3.84 (0.61) | 3.90 (0.65) | 3.83 (0.60) | |
| Concerned about the impact of meth in the community (5 = | 1873 | 3.25 (1.31) | 3.41 (1.33) | 3.19 (1.30) | |
| Has discussed meth use with others | |||||
| No | 800 | 42.7 | 16.7 | 83.3 | 1 (Ref) |
| Yes | 1073 | 57.3 | 30.2 | 69.8 | 2.15*** (1.71, 2.70) |
| Has looked online for meth prevention or treatment information | |||||
| No | 1257 | 67.1 | 18.6 | 81.4 | 1 (Ref) |
| Yes | 616 | 32.9 | 36.4 | 63.6 | 2.50*** (2.01, 3.10) |
| Has heard of SASH | |||||
| No | 1270 | 67.8 | 19.5 | 80.5 | 1 (Ref) |
| Yes | 603 | 32.2 | 34.8 | 65.2 | 2.20*** (1.77, 2.73) |
| Has ever called SASH | |||||
| No | 1746 | 93.2 | 21.3 | 78.7 | 1 (Ref) |
| Yes | 127 | 6.8 | 67.7 | 32.3 | 7.75*** (5.25, 11.43) |
| Used meth the past 30 days | |||||
| No | 1724 | 94.3 | 43.0 | 57.0 | 1 (Ref) |
| Yes | 107 | 5.7 | 23.2 | 76.8 | 2.50*** (1.67, 3.72) |
| Number of days used meth in the past 30 days | |||||
| 1–9 days | 35 | 32.7 | 65.7 | 34.3 | 1 (Ref) |
| 10 days-everyday | 72 | 67.3 | 31.9 | 68.1 | 0.24*** (0.10, 0.58) |
| Is currently considering quitting meth use | |||||
| No | 40 | 38.5 | 35.0 | 65.0 | 1 (Ref) |
| Yes | 64 | 61.5 | 48.4 | 51.6 | 1.74 (0.77, 3.94) |
| When plans to quit meth use | |||||
| Over 30 days or unsure | 38 | 59.4 | 34.2 | 65.8 | 1 (Ref) |
| In the next 30 days | 26 | 40.6 | 69.2 | 30.8 | 4.33** (1.48, 12.60) |
N 1,873, OR Odds Ratio, CI Confidence Interval. Those who declined responses are excluded
aMixed race is a mutually exclusive category
bRespondents in higher-risk jobs work: more than 12 h a day; in two or more jobs; 2nd and/or 3rd shifts; in the entertainment industry or are Uber/Lyft/cab drivers; bar, restaurant, customer service, or other hospitality workers; truck drivers, movers; janitorial workers; construction workers; house painters; factory/manufacturing/warehouse workers; and/or agriculture workers
*p ≤ .05
**p ≤ .01
***p ≤ .001
Fig. 1Meth-free L.A. County campaign print and social media advertisement examples, in English and Spanish