| Source | Location/Setting, Study Period, Intervention | Study Design | Sample(s) | Measures of Participation Assessed |
| Abbott 2014, “Evaluation of the Food Bank of Delaware Community Supported Agriculture (CSA) Program” [22] | Wilmington, DE; 2013 Intervention
|
Qualitative analysis: Focus groups with cost-offset CSA participants |
Participant sample (n = 208) Eligibility criteria:
Focus group sample (n = 10) Eligibility criteria:
|
Satisfaction
Retention
|
| Andreatta et al., 2008, “Lessons learned from advocating CSAs for low-income and food insecure households” [11] | Piedmont region of North Carolina; 2002–2003 Intervention
|
Observational: Summary statistics and qualitative analysis of pre- and post-season interviews with participants |
Participant sample (n = 22) Eligibility criteria:
|
Enrollment
Satisfaction
|
| Brehm and Eisenhauer 2008, “Motivations for Participating in Community-Supported Agriculture and Their Relationship with Community Attachment and Social Capital” [37] | Central Illinois and New Hampshire, 2006 CSA Member survey
|
Observational: Cross-sectional analysis of participant surveys, compared across household incomes |
Participant sample (n = 225)
|
Enrollment
|
| Cotter et al., 2017, “Low-income adults’ perceptions of farmers’ markets and community supported agriculture programmes” [29] | Three affordable housing communities in Washington, DC; 2015–2016 Hypothetical CSA |
Qualitative analysis: Focus groups |
Multi-lingual focus groups (n = 28) Eligibility criteria:
|
Enrollment
|
| Galt et al., 2017, “What difference does income make for Community SupportedAgriculture (CSA) members in California: Comparinglower-income and higher-income households” [30] | CA statewide, 2014–2015 CSA member survey
|
Observational: Summary of cross-sectional survey data for low-income households (and compared to higher-income households) |
CSA member sample (n = 1049) Eligibility criteria:
|
Enrollment
Satisfaction
|
| Garner et al., 2021, “Making community-supported agriculture accessible to low-income families: findings from the Farm Fresh Foods for Healthy Kids (F3HK) process evaluation” [23] | Rural and micropolitan communities in 4 U.S. states (NY, NC, VT, and WA); 2016–2017 Intervention
|
Observational: Cross-sectional analysis of
|
Eligibility requirements:
Applicant sample (n = 548) Intervention sample (n = 115) |
Enrollment
Engagement
|
| Hanson et al., 2019, “Fruit and Vegetable Preferences and Practices may Hinder Participation in Community Supported Agriculture among Low-income Rural Families” [31] | Rural and micropolitan communities in 4 states (NY, NC, VT, and WA), 2015 Hypothetical CSA |
Observational: Summary of recorded FV preferences Qualitative analysis: Interviews |
Adult Sample (n = 41, ~10 from each state) Eligibility criteria:
Child Sample (n = 20, ~5 from each state) Eligibility criteria:
|
Enrollment
|
| Hanson et al., 2019, “Knowledge, Attitudes, Beliefs and Behaviors Regarding Fruits and Vegetables among Cost-offset Community Supported Agriculture Applicants, Purchasers, and a Comparison Sample” [16] | VT statewide and comparison group from all New England states (MA, CT, RI, VT, NH, and ME); August 2017 Cost-offset CSA member survey
|
Observational: Cross-sectional comparison of online survey data from applicants and a non-applicant comparison group |
Overall eligibility requirements:
Applicant sample (n = 64) Applicant eligibility requirements:
Comparison sample (n = 105) Comparison eligibility requirements:
|
Enrollment
|
| Hanson et al., 2022, “Participation in Cost-offset Community Supported Agriculture by Low-income Households in the U.S. is Associated with Community Characteristics and Operational Practices” [24] | Rural and micropolitan communities in 4 U.S. states (NY, NC, VT, and WA); 2016–2017 Intervention
|
Observational: Examined differences in shares picked up (recorded in pick-up logs) by community and participant characteristics and CSA operational practices |
Participant sample (n = 137) Eligibility requirements:
|
Engagement
|
| Hinrichs and Kremer 2002, “Social inclusion in a Midwest local food system project” [38] |
Midwest, 1997–1998 Intervention
|
Observational:
|
CSA participant sample (n = 41)
|
Enrollment
Satisfaction
|
| Hoffman et al., 2012, “Farm to Family: Increasing Access to Affordable Fruits and Vegetables Among Urban Head Start Families” [17] | Four Head Start centers in Boston, MA; 2010–2011 Hypothetical CSA + Intervention
|
Observational:
|
Overall eligibility criteria:
Pre-intervention Survey Sample (n = 139) Participant Sample (n = 14) Participant eligibility criteria:
|
Enrollment
|
| Izumi et al., 2018, “Feasibility of Using a Community-Supported Agriculture Program to Increase Access to and Intake of Vegetables among Federally Qualified Health Center Patients” [25] |
Federally qualified health center (FQHC), Portland, OR; 2015 Intervention
|
Observational: Cross-sectional summary of pre- and post-intervention survey data Qualitative analysis: Post-intervention focus groups |
Participant survey sample (n = 9) Eligibility criteria
Participant focus group sample (n = 15) |
Enrollment
Satisfaction
|
| Izumi et al., 2020, “CSA Partnerships for Health: outcome evaluation results from a subsidized community-supported agriculture program to connect safety-net clinic patients with farms to improve dietary behaviors, food security, and overall health” [26] | Federally qualified health center (FQHC), Portland, OR; 2017 Intervention
|
Observational: Summary of pre- and post-intervention telephone and paper surveys |
Participant sample (n = 48) Eligibility criteria
|
Satisfaction
Retention
|
| Martin. et al., 2019, “Low-income mothers and the alternative food movement: An intersectional approach” [32] | 3 North Carolina counties (1 urban and 2 rural); 2014–2015 Hypothetical CSA |
Qualitative analysis: Semi-structured interviews about a hypothetical CSA |
Low-income sample (n = 83) Eligibility criteria:
|
Enrollment
|
| McGuirt et al., 2018, “A Modified Choice Experiment to Examine Willingness to Participate in a Community Supported Agriculture (CSA) Program among Low-income Parents” [34] | Rural and micropolitan communities in 4 U.S. states (NY, NC, VT, and WA); 2015 Hypothetical CSA |
Observational: Summary of a modified choice experiment about a hypothetical CSA (travel distance, share size, share frequency, and price) conducted during interviews Qualitative analysis of interview comments |
Sample (n = 42, ~10 from each state) Eligibility criteria:
|
Enrollment
|
| McGuirt et al., 2019, “A mixed-methods examination of the geospatial and sociodemographic context of a direct-to-consumer food system innovation” [33] | Rural and micropolitan communities in 4 U.S. states (NY, NC, VT, and WA); 2016–2017 Intervention
|
Observational: Geospatial analysis of participants’ homes, CSA farms, and pick-up locations Qualitative analysis: Focus groups with participants |
Geospatial data
Participant sample (n = 53) Eligibility criteria:
|
Satisfaction
|
| Quandt et al., 2013, “Feasibility of using a Community-Supported Agriculture Program to improve fruit and vegetable inventories and consumption in an underresourced urban community” [35] | Forsyth County, NC; 2012 Intervention
|
Observational: Descriptive analysis of post-intervention telephone interviews |
Participant sample (n = 25) Eligibility criteria:
|
Satisfaction
Retention
|
| White et al., 2018, “The perceived influence of cost-offset community-supported agriculture on food access among low-income families” [36] | Rural and micropolitan communities in 4 U.S. states (NY, NC, VT, and WA); 2016–2017 Intervention
|
Qualitative analysis: Post-intervention focus groups |
Participant sample (n = 53) Eligibility criteria:
|
Satisfaction
|