| Literature DB >> 32887328 |
Lindsey Haynes-Maslow1, Annie Hardison-Moody1, Megan Patton-Lopez2, T Elaine Prewitt3, Carmen Byker Shanks4, Lauri Andress5, Isabel Osborne6, Stephanie Jilcott Pitts7.
Abstract
The Supplemental Nutrition Assistance Program (SNAP) is a critical program that helps reduce the risk of food insecurity, yet little is known about how SNAP addresses the needs of rural, food-insecure residents in the United States (U.S.). This study examines how rural, food-insecure residents perceive SNAP. Semi-structured interviews were conducted with 153 individuals living in six diverse rural regions of Arkansas, Montana, North Carolina, Oregon, Texas, and West Virginia. SNAP was described as a crucial stop-gap program, keeping families from experiencing persistent food insecurity, making food dollars stretch when the family budget is tight, and helping them purchase healthier foods. For many rural residents interviewed, SNAP was viewed in a largely positive light. In efforts to continue improving SNAP, particularly in light of its relevance during and post-coronavirus (COVID-19) pandemic, policymakers must be aware of rural families' perceptions of SNAP. Specific improvements may include increased transparency regarding funding formulas, budgeting and nutrition education for recipients, effective training to improve customer service, connections among social service agencies within a community, and increased availability of automation to streamline application processes.Entities:
Keywords: SNAP; food access; food insecurity; rural
Mesh:
Year: 2020 PMID: 32887328 PMCID: PMC7504226 DOI: 10.3390/ijerph17176390
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Study County Characteristics (N = 6).
| State | County | RUCC Code | Persistent Poverty | Child Food Insecurity Rate (2016) | African American (%) | Hispanic/Latino (%) | Native American (%) | House Democrats (%) |
|---|---|---|---|---|---|---|---|---|
| Arkansas | Phillips | 6 | Yes | 31.0% | 63.0% | 1.7% | 0.0% | 24% |
| Montana | Lake | 6 | No | 21.2% | 0.8% | 4.1% | 24.4% | 41% |
| North Carolina | Halifax | 4 | Yes | 26.8% | 54.1% | 2.6% | 3.4% | 38% |
| Oregon | Jefferson | 6 | No | 24.2% | 1.2% | 19.8% | 16.2% | 58% |
| West Virginia | Calhoun | 8 | Yes | 23.4% | 0.2% | 1.1% | 0.1% | 36% |
| Texas | Grimes | 6 | No | 27.5% | 17.1% | 23.0% | 0.2% | 37% |
Study participant demographics (N = 153).
| Characteristics | Total Sample | Arkansas | Montana | North Carolina | Oregon | Texas | West Virginia |
|---|---|---|---|---|---|---|---|
| Mean age | 37.9 | 39.8 | 33.2 | 32.6 | 39.1 | 44 | 38.4 |
| Mean number of adults in household | 1.8 | 1.8 | 2.0 | 1.4 | 2.2 | 1.4 | 2.1 |
| Mean number of children in household | 2.4 | 2.3 | 3.2 | 2.2 | 2.5 | 2.0 | 2.2 |
| Mean number of years living in county | 25.5 years | 37.0 years | 19.3 years | 18.2 years | 19.8 years | 32.7 years | 23.9 years |
| Number (Percentage) of single parent households | 67 (44%) | 18 (64%) | 9 (36%) | 17 (68%) | 2 (8.3%) | 14 (56%) | 7 (28%) |
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| Black/African American | 62 (40.8%) | 25 (89.3%) | 0 (0%) | 19 (76%) | 0 (0%) | 18 (72%) | 0 (0%) |
| Hispanic/Latino | 25 (16.5%) | 0 (0%) | 1 (4%) | 0 (0%) | 19 (76%) | 4 (16%) | 1 (4%) |
| Native American | 21 (13.8%) | 0 (0%) | 21 (84%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| White | 39 (25.7%) | 2 (7.1%) | 3 (12%) | 6 (24%) | 3 (12%) | 2 (8%) | 23 (92%) |
| Other | 3 (2.0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (8%) | 1 (4%) | 0 (0%) |
| Prefer not to answer | 2 (1.3%) | 1 (3.6%) | 0 (0%) | 0 (0%) | 1 (4%) | 0 (0%) | 1 (4%) |
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| <8th Grade | 10 (6.5%) | 1 (3.6%) | 0 (0%) | 1 (4%) | 7 (28%) | 0 (0%) | 1 (4%) |
| Some high school | 22 (14.4%) | 3 (10.7%) | 2 (8%) | 0 (0%) | 8 (32%) | 6 (24%) | 3 (12%) |
| High school or GED | 60 (39.2%) | 13 (46.4%) | 3 (12%) | 15 (60%) | 4 (16%) | 15 (60%) | 10 (40%) |
| Some college | 41 (26.8%) | 8 (28.6%) | 12 (48%) | 7 (28%) | 3 (12%) | 4 (16%) | 7 (28%) |
| College degree | 18 (11.8%) | 3 (10.7%) | 6 (24%) | 2 (8%) | 3 (12%) | 0 (0%) | 4 (16%) |
| >College | 2 (1.3%) | 0 (0%) | 2 (8%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
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| Married/living with partner | 62 (40.5%) | 7 (25%) | 9 (36%) | 5 (20%) | 22 (88%) | 4 (16%) | 15 (60%) |
| Never been married | 53 (34.6%) | 12 (42.9%) | 10 (40%) | 17 (68%) | 0 (0%) | 11 (44%) | 3 (12%) |
| Divorced | 19 (12.4%) | 4 (14.3%) | 3 (12%) | 1 (4%) | 2 (8%) | 4 (16%) | 5 (20%) |
| Separated | 10 (6.5%) | 2 (7.1%) | 0 (0%) | 2 (8%) | 0 (0%) | 4 (16%) | 2 (8%) |
| Widowed | 5 (3.3%) | 2 (7.1%) | 0 (0%) | 0 (0%) | 1 (4%) | 2 (8%) | 0 (0%) |
| Prefer not to answer | 4 (2.6%) | 1 (3.6%) | 3 (12) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| 100% Federal Poverty Level or Less | 96 (63.0%) | 17 (60.7%) | 19 (76.0%) | 18 (72%) | 12 (48.0%) | 17 (68.0%) | 13 (52.0%) |
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| SNAP | 112 (73.2%) | 25 (89.3%) | 19 (76%) | 21 (84%) | 16 (64%) | 18 (72%) | 13 (52%) |
| Special Supplemental Nutrition Program for Women, Infants, and Children | 50 (43.7%) | 9 (32.1%) | 8 (32%) | 9 (36%) | 10 (40%) | 8 (32%) | 6 (24%) |
| Free or reduced-price lunch or breakfast | 107 (70.0%) | 21 (75%) | 18 (72%) | 21 (84%) | 21 (84%) | 9 (36%) | 17 (68%) |
| Free groceries or meals 1 | 50 (43.7%) | 7 (25%) | 9 (36%) | 12 (48%) | 10 (40%) | 2 (8%) | 10 (40%) |
| Food Distribution Program on Indian Reservations | 2 (1.3%) | n/a | 2 (8%) | n/a | n/a | n/a | n/a |
| Medicaid | 126 (58.3%) | 23 (82.1%) | 24 (96%) | 22 (88%) | 22 (88%) | 18 (72%) | 17 (68%) |
| Temporary Assistance for Needy Families | 16 (7.4%) | n/a | 6 (24%) | 3 (12%) | 3 (12%) | 2 (8%) | 1 (4%) |
| WorkFirst | 8 (3.7%) | n/a | n/a | 5 (20%) | 3 (12%) | n/a | n/a |
| Unemployment benefits | 4 (1.85%) | n/a | n/a | 2 (8%) | 1 (4%) | n/a | 1 (4%) |
| Social Security/Disability Benefits | 27 (12.5%) | 8 (28.6%) | 2 (8%) | 6 (24%) | 1 (4%) | 6 (24%) | 4 (16%) |
| Other 2 | 47 (29.4%) | 10 (35.7%) | 6 (24%) | 7 (28%) | 1 (4%) | 2 (8%) | 6 (24%) |
| None | 1 (0.7%) | n/a | 1 (4%) | 1 (4%) | 2 (8%) | 3 (12%) | 7 (28%) |
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| High or marginal food security | 29 (19.0%) | 5 (17.9%) | 7 (28.0%) | 5 (20.0%) | 4 (16.0%) | 2 (8.0%) | 4 (16.0%) |
| Low food security | 75 (49.0%) | 15 (53.6%) | 13 (52.0%) | 7 (28.0%) | 14 (56.0%) | 14 (56.0%) | 12 (48.0%) |
| Very low food security | 49 (32.0%) | 8 (28.6%) | 5 (20.0%) | 13 (52.0%) | 7 (28.0) | 9 (36.0%) | 7 (28.0%) |
1 The full question in the eligibility screener was: “Free groceries or meals from a food pantry, food bank, church, or other place that helps with free food.” 2 Other included specific names of programs.
Themes, sub-themes, operational definitions, illustrative quotes, and code frequency, N = 153.
| Theme | Sub-Theme | Operational Definition | Illustrative Quote | Code Frequency |
|---|---|---|---|---|
| (1) Adequacy of Monthly SNAP Benefits | Participant describes the adequacy of the funding amount for monthly SNAP benefit allotments. | “ | 136 | |
| (1a) Stretching food dollars | Participant describes various strategies employed during the month to help cover their monthly food costs, including using coupons, bulk shopping, and budgeting. | “ | 46 | |
| (1b) Confusion regarding monthly SNAP benefit allotments | Participant discusses confusion around how the monthly SNAP benefit allotment is calculated. | “ | 52 | |
| (1c) Fluctuations in SNAP benefits | Participant describes fluctuations in monthly SNAP benefits due to certain situations, including wage and/or income changes or changes to members in the household. | “It’s only me because me and my wife separated. And I can pretty much deal with myself, you know, a little. But things can get tight because I was receiving food stamps at one time and then they cut it all the way back to $15 a month. But I still—I get that, but that $15 don’t go far.” (Male, North Carolina, PID-NC05) | 38 | |
| (2) Benefits of the SNAP Program | Participant describes the benefits of participating in the SNAP program. | “ | 105 | |
| (2a) Provision of food to household communities | Participant discusses the need for SNAP among families in their rural communities. | “ | 23 | |
| (2b) Program features that rural families’ value | Participant discusses features of the SNAP program that rural families’ value, such as consistency in when benefits are distributed. | “ | 63 | |
| (2c) SNAP and diet quality | Participant describe how changes in SNAP benefits impact their family’s diet quality. | “ | 19 | |
| (3) Barriers to Effective Program Use | Participant describes barriers to accessing the SNAP program. | “ | 47 | |
| (3a) SNAP customer service | Participant describes poor customer service when dealing with employees that process and re-certify SNAP applications. | “ | 14 | |
| (3b) SNAP application process | Participant describes frustrations with the SNAP application process including the length of time it takes to complete the application, complex questions, submitting the application, and/or lengthy application approval times. | “ | 33 |