WIC EBT Feasibility Study and Cost‐Benefit Analysis

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Virginia Department of Health WIC EBT Feasibility Study and Cost-Benefit Analysis • New Mexico WIC Program EBT Cost Benefit Analysis, USDA, FNS, May 19, 2006 • Texas WIC EBT National Evaluation Model Cost Sheets, USDA, FNS, 2006 Additional information was obtained concerning these and other deployments, such as the Kentucky on-line system being developed by CDP, Inc., through e-mails, interviews, presentations, and related documentation. 3.1.2 BASELINE DATA Baseline costs and evaluation criteria were attained through review of State documentation, interviews, abbreviated time studies and on-line surveys. Details concerning these methodologies can be found in the Baseline Analysis: Virginia WIC Paper-Based Issuance System; a synopsis is provided in the following matrix. Stakeholder Documentation Interviews Time Studies Timed On-line Surveys Group Transactions State-level Invoices On-site group All applicable N/A N/A WIC Staff WIC Reports meetings and State staff: Two- individual weeks for interviews; repetitive E-mails; activities; Conference estimated for calls occasional activities Local WIC Reports On-site 3 clinics: Paper-based Available to staff Agency and interviews at 3 One-week for issuance statewide; Local Clinic agencies and 4 repetitive transactions timed included Staff clinics; activities; as check against processes and E-mails estimated for time studies estimated occasional activities. transaction times Retailers WIC Reports Interviews with N/A Paper based Available to 3 retailers; purchase retailers statewide. Follow-up e- transactions Included requests mails aligned with WIC for estimated Evaluation Model; transaction times credit card for WIC purchase purchases and transaction back-office activities Participants WIC Reports N/A N/A N/A Available to WIC participants statewide 3.1.3 E-WIC BENEFITS AND RISKS The intangible benefits, possible risks, and evaluation criteria of e-WIC were gathered at the same time and through the same methodologies as the baseline data was gathered. For example, on-line surveys for local staff, retailers and participants included questions concerning the e-WIC program. 8 V 1.2 August 20, 2008
Virginia Department of Health WIC EBT Feasibility Study and Cost-Benefit Analysis Benefit and risk charts were provided to the State for review and assessment. Benefits were identified by aligning the e-WIC program with the goals and objectives of the State’s WIC Program as submitted to the FNS in the Fiscal Year 2007 WIC Program State Plan. Strategic categories reviewed for their applicability to e-WIC included: • Vendor Management • Nutrition Services • Organization & Management • NSA Expenditures • Food Funds Management • Caseload Management • Certification & Eligibility • Fund Delivery/Food Instrument Accountability and Control • Monitoring/Audits • Civil Rights Risks were identified through their alignment with the standard system development life cycle (SDLC) risk categories of: • Organizational and Change Management • Business • Data and Information • Technology • Strategic • Security • Privacy • Resources • Schedule 3.2 EVALUATION CRITERIA During meetings and interviews with State-level management and staff, the following evaluation criteria were established for assessing the e-WIC alternatives. Each evaluation criterion has been weighted, using a scale of 1 to 5, with 1 being of least importance and 5 being of highest importance to the State. As seen, the State places the highest importance on proven implementation, lower annual operating costs, and the alternative’s ability to be implemented concurrently with the SAM system. Evaluation Criteria Criteria Weight By Meeting This Criterion: Proven Record of Implementation 5 The State’s implementation risks are reduced. Proven Record of Operations 5 The State’s operational risks are reduced. Proven Record of ECR Integration The State’s and retailers’ risks are reduced. With a 5 greater number of integrated ECRs, costs may also be reduced. 9 V 1.2 August 20, 2008
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WIC EBT Feasibility Study and Cost‐Benefit Analysis

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