Attachment J.5_ Background Information for Section C- Statement of Work.docx
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- 75FCMC25RJ018
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This is Attachment J.5, which provides background information for the Statement of Work for the RMADA 3 IDIQ contract. The document outlines the required multi-disciplinary expertise needed, including economists, actuaries, statisticians, biostatisticians, epidemiologists, health policy analysts, health services researchers, social scientists, physicians, pharmacists, clinical professionals, and systems analysts/programmers.
The attachment details six core competency areas required for task order performance: 1) Research Methods and Design, including complex multisite research execution; 2) Primary and Secondary Data Collection, particularly focused on Medicare/Medicaid administrative and claims data analysis; 3) Statistical Analysis using software like SAS and STATA; 4) Subject Matter Expertise in CMS policies, Medicare/Medicaid programs, and healthcare delivery systems; 5) Communication skills for conferences, stakeholder engagement, and dissemination strategies; and 6) Report Writing and Learning Network development, including the ability to synthesize findings and develop shared learning activities for stakeholders.
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Attachment J.5: Background Information for Section C/Statement of Work This RMADA 3 work may require the expertise of multi-disciplinary staff including, but not limited to, economists, actuaries, statisticians and biostatisticians, epidemiologists, health policy analysts, health services researchers, and other social scientists; physicians, pharmacists, and other clinical professionals; and systems analysts and programmers.
Provided below are examples of types of work that may be performed at the task order level and the skillset necessary to complete the tasks:
· Research Methods and Design
· Capacity to develop and execute high-quality, complex, multisite research and evaluation designs
· Primary Data Collection
· Ability to design, develop, and administer data collection instruments
· Capacity to conduct surveys, focus groups, interviews, environmental scans, and case studies, and to process and analyze the data obtained from these data collection methods
· Secondary Data Collection
· Capacity to process and analyze Medicare/Medicaid administrative, claims and encounter data, and other government or commercially available datasets.
· Knowledge of the capabilities and limitations of these data, and experience computing measures and deriving samples relevant to a project
· Ability to use Medicare and Medicaid claims data to characterize expenditures and patterns of care among beneficiaries
· Statistical Analysis
· Extensive knowledge of relevant methodologies and statistical design including the creation of subsamples, comparison groups, and case mix groups
· Capacity to conduct qualitative and quantitative analyses, including complex multivariate analysis, using software packages such as SAS and STATA.
· Subject Matter Expertise
· Knowledge of CMS policies, regulations, and governing statutes
· Knowledge of the Medicare and Medicaid programs and their current and historical coverage policies and payment mechanisms
· Familiarity with the organization, structure, operations, and resources of primary and/or specialty care practices in general and specific to health care delivery systems
· Capacity to provide technical assistance or training for demonstration sites and/or other groups or individuals
· Communication
· Knowledge in participating in the development of conferences, seminars, or workshops and making presentations at these events
· Capable of effectively communicating with individuals representing various professional disciplines and service providers
· Knowledge in and capable of developing effective dissemination strategies for different stakeholders and audiences
· Report Writing and Synthesis
· Ability to develop options or issue papers with interim and final reports
· Ability to synthesize findings from different data collection activities into a cohesive story
· Ability to interpret results and translate the results for audiences with and without research backgrounds
· Learning Networks
· Ability and experience to develop shared learning activities for award recipients, research participants, and stakeholders
· Skilled in improvement science and tools
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