Dataset DOI: 10.5061/dryad.xsj3tx9ss

Description of the data and file structure

Participants were recruited from two large hospital systems in Kentucky to participate in a food is medicine intervention. Participants completed a baseline and post intervention survey related to household size, food security status using the USDA 6-item screener, nutrition security using the Gretchen Swanson nutrition security screener, general health status, financial strain, psychological stress. These self-report measures were captured again post intervention 3-months after the food is medicine program ended. 

Files and variables

File: AHAFIMUserCenteredDe_DATA_FullDataSetFINAL.csv

Description: 

Variables

• record_id: text

• fi_screening_pos: text Screened positive for food insecurity?

  Positive = Answer of 'Often true' or 'Sometimes true' on one or both social determinants of health questions about food

  1= yes

  0=no

• fa_screening: text 1=yes 0=no

• htn_screening: text 1=yes 0=no

• htn_meds_1: 1=yes 0=no

• screening_method: 1=yes face to face and 0=automated

• q3:do you have a working kitchen 1=yes; 0=no

• q4:do you have cooking utensils, like pans, knives, pots 1=yes; 0=no

• q5:do you currently cook your own meals 1=yes; 0=no

• q6:do you prefer cooking you own meals 1=yes; 0=no

• q7:are you easily able to get to the grocery store at least 2time per month 1=yes; 0=no

• q8:do you prefer picking out your own food at the grocery store more than having food delivered to you? 1=yes; 0=no

• child_under: count variable; number of children under age 5

• child_2: count variable; number of children between 6-9

• child_3: count variable; number of children between 10-13

• child_4: count variable; number of children between 14-17

• child_5: count variable; number children 18+

• food_assis___1: utilizes supplemental nutrition assistance program 1=yes; 0=no

• food_assis___2: women infant and children program 1=yes; 0=no

• food_assis___3:food pantry, food bank, soup kitchen 1=yes; 0=no

• food_assis___4:none of the above 1=yes; 0=no

• food_assis___5: prefer not to answer 1=yes; 0=no

  For all insurance_type questions insurance_type 1=yes; 0=no for answer type

• insurancetype___1: private health insurance

• insurancetype___2:medicare

• insurancetype___3:medigap

• insurancetype___4:medicaid

• insurancetype___5:children's health insurance program

• insurancetype___6:military related healthcare

• insurancetype___7: indian health services

• insurancetype___8: state sponsored health plan

• insurancetype___9: other government program

• insurancetype___10: no insurance

• insurancetype___11: prefer not to answer

• fin_strain:How often does this describe you? "I don't havemoney to pay my bills (including food, housing,medical care or heating)." 1=never; 2=rarely; 3=sometimes; 4=often; 5=always; 0=don't know

  FSSM hh2-4 answers are: 1=often true; 2=sometimes true; 3=never true; 4=don't know

• fssm10_hh2:We worried whether our food would run out before we got money to buy more." Was thatoften, sometimes, or never true for you in the last30 days?

• fssm10_hh3:The food that we bought just didn't last and wedidn't have money to get more." Was that often,sometimes, or never true for you in the last 30days?

• fssm10_hh4:We couldn't afford to eat balanced meals." Wasthat often, sometimes, or never true for you inthe last 30 days?

• fssm10_ad1:In the last 30 days, did you or other adults in thehousehold ever cut the size of your meals or skipmeals because there wasn't enough money forfood? 1=yes; 0=no

• fssm10_ad2:In the last 30 days, how many days did thishappen? integer value

• fssm10_ad3:In the last 30 days, did you ever eat less than youfelt you should because there wasn't enoughmoney for food? 1=yes; 0=no

• fssm10_ad4:In the last 30 days, did you lose weight becausethere wasn't enough money for food? 1=yes; 0=no

• fssm10_ad5:In the last 30 days, did you or other adults in yourhousehold ever not eat for a whole day becausethere wasn't enough money for food? 1=yes; 0=no

• gsn_n3:In the last 12 months, (I/we) worried that the food(I was/we were) able to eat would hurt (my/our)health and well-being. 1=never; 2=rarely; 3=sometimes; 4=often; 5=always; 6=don't know

• eq5d5l_q1: mobility1. The following ask to mark on a scale of 1-5 for mobility variable.

  I have no problems in walking about = 1

  I have slight problems in walkingabout = 2

  I have moderate problems in walkingabout = 3

  I have severe problems in walkingabout = 4

  I am unable to walk about=5

• eq5d5l_q2: self-care. The following ask respondent to mark on a scale of 1-5 for self-care variable.

  I have no problems washing ordressing myself = 1

  I have slight problems washing ordressing myself=2

  I have moderate problems washingor dressing myself =3

  I have severe problems washing ordressing myself=4

  I am unable to wash or dress myself=5

• eq5d5l_q3: usual activities. The following ask the respondent to rank the on a scale of 105 on usual activities. 

  I have no problems doing my usual activities=1

  I have slight problems doing my usual activities=2

  I have moderate problems doing my usual activities=3

  I have severe problems doing my usual activities=4

  I am unable to do my usual activities=5

• eq5d5l_q4: pain/discomfort. The following ask the respondent to rank on a scale of 105 related to pain or discomfort. 

  I have no pain or discomfort=1

  I have slight pain or discomfort=2

  I have moderate pain or discomfort=3

  I have severe pain or discomfort=4

  I have extreme pain or discomfort=5

• eq5d5l_q5: anxiety/depression. The following ask the respondent to rank on a scale of 1-5 on anxiety/depression

  I am not anxious or depressed=1

  I am slightly anxious or depressed=2

  I am moderately anxious or depressed=3

  I am severely anxious or depressed=4

  I am extremely anxious or depressed=5

• eq5d5l_q6:We would like to know how good or bad your health is TODAY.

  This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine. Move the scale to indicate how your health is TODAY. variable ordinal 0-100

• eq5d5l_q7: now mark this number on a scale

• gen_health:Would you say that in general your health is excellent, very good, good, fair, or poor? 1=excellent; 2=very good; 3=good; 4=fair; 5=poor; 6=don't know

  The following dietary questions are from the DSQ-10. All answers for dsq questions are as follows: 0=Never ; 1= 1 time last month; 2=2-3 times last month; 3=1 time per week; 4=2 times per week; 5=3-4 times per week;6=5-6 times per week; 7=1 time per day; 8=2-3 times per day; 9=4-5 times per day; 10=6 or more times a day; 11=Don’t know/Prefer not to answer

• Convert all frequency responses to cups units according to the following table: https://epi.grants.cancer.gov/nhanes/dietscreen/scoring/current/convert.html

• Download the current (recommended) necessary portion size and regression coefficient data from the zip file in this location: https://epi.grants.cancer.gov/nhanes/dietscreen/programs.html. Any of the files will do as the portion size and regression coefficient data is the same. a. Calib.equation.coeff.xlsx contains the regression coefficient data b. Calib.portion.size.xlsx contains the portion size data 6. Merge the portion size file (calib.portion.size.xlsx) by gender

• DSQfv=dsq_50 - Predicted intake of fruits and vegetables including legumes and French fries (cup equivalents) per day

• DSQfvlnf =dsq_80- Predicted intake of fruits and vegetables including legumes and excluding French fries (cup equivalents) per day

• DSQfrt=dsq_90 - Predicted intake of fruits (cup equivalents) per day

• DSQvlall=dsq_100- Predicted intake of vegetables including legumes and French fries (cup equivalents) per day

• DSQvlnf=dsq_110 - Predicted intake of vegetables including legumes and excluding French fries (cup equivalents) per day

• DSQdairy=dsq_120 - Predicted intake of dairy (cup equivalents) per day

• DSQsug=dsq_130 - Predicted intake of total added sugars (tsp equivalents) per day

• DSQssb=dsq_140 - Predicted intake of added sugars from sugar-sweetened beverages (tsp equivalents) per day

• DSQwhgr=dsq_150 - Predicted intake of whole grains (ounce equivalents) per day

• DSQfib=dsq_160 - Predicted intake of fiber (gm) per day

  What other food did you purchase that was not covered by the intervention program. All answers are 1=yes; 0=no

• post_purchases_other___1: snacks

• post_purchases_other___2:meats

• post_purchases_other___3: dairy items

• post_purchases_other___4: baked goods

• post_purchases_other___5: candy and other sweet treats

• post_purchases_other___6: beverages

• post_purchases_other___7: cooking items like oil

• post_purchases_other___8:pantry items like crackers

• post_purchases_payment___1: EBT

• post_purchases_payment___2: credit card

• post_purchases_payment___3: debit card

• post_purchases_payment___4:apple pay

• post_purchases_payment___5: google pay

• post_purchases_payment___6:pay pal

• post_purchases_payment___7:klarna

• post_purchases_payment___8: after pay

• post_purchases_payment___9: pre-paid gift card

• post_purchases_payment___10: none of these

  How did the [intervention] program affect yourbudget? (Select all that apply)

• post_budget___1: I was able to buy additional food for my household

• post_budget___2: I was able to by better quality food

• post_budget___3: I was able to use money I normally use for food on other needs

• post_budget___0: none of these

• net_promoter_score: How likely are you to refer a friend to this program (scale 0-10). Response is ordinal value 0-10.

• engagement_q1: If you had to pay for this program would you participate? 1=yes; 2=no; 3=prefer not to answer

The following questions have the same description and coding as the baseline variable. 

• food_assis_post___1:
• food_assis_post___2:
• food_assis_post___3:
• food_assis_post___4:
• food_assis_post___5:
• fin_strain_post:
• fssm10_hh2_post:
• fssm10_hh3_post:
• fssm10_ad1_post:
• fssm10_ad4_post:
• fssm10_ad2_post:
• fssm10_ad3_post:
• fssm10_ad5_post:
• fssm10_hh4_post:
• gsn_n3_post:
• eq5d5l_q1_post:
• eq5d5l_q2_post:
• eq5d5l_q3_post:
• eq5d5l_q4_post:
• eq5d5l_q5_post:
• eq5d5l_q6_post:
• eq5d5l_q7_post:
• gen_health_post:
• dsq_050_post:
• dsq_080_post:
• dsq_090_post:
• dsq_100_post:
• dsq_110_post:
• dsq_120_post:
• dsq_130_post:
• dsq_140_post:
• dsq_150_post:
• dsq_160_post:

Code/software

All code was included in describing the data. Stata 17.0 was used in analyses and can be provided upon request. Data can be analyzed using R or C++ for free. 

Human subjects data

We have consent to publish de-identified data in the public domain. We have removed all identifiers in the dataset.