Health Group
Econometrica’s Health Group has expertise in health policy and management, health services research, public/population health, health equity and disparities, epidemiology, biostatistics, and medicine.
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Health Group
*Asterisk Fields Required
Health Group
Training & Technical Assistance
- eLearning/web-based training
- Virtual event production
- Video tutorials
- Microlearning
- Help desk management
Quality Measurement
- Measure specification
- Adapting measures for new programs
- Validity testing
- Reliability testing
- NQF endorsement
Program Evaluation
- Mixed-methods research
- Qualitative data analysis
- Focus groups & interviews
- Survey design
- Literature reviews
Training and Technical Assistance
- eLearning/web-based training: Training that takes place over the internet and can include long form and slide-based learning formats. This type of training offers learners the flexibility to access course content at their convenience on any device that can access the internet.
- Virtual events production: An organized training or conference-style activity that can occur over one or more days on a web-based platform. Virtual events can include presentations, panel discussions, and networking activities.
- Video tutorials: Live action or animated videos that explain complex topics or procedures in a step-by-step fashion.
- Microlearning: Short lesson modules or activities that focus on brevity and impose a low burden on learners. Content depicts what learners need to know, when they need to know it.
- Help desk management: Receiving, processing, tracking. and responding to help desk tickets through email, web-based, or federal ticketing systems such as ServiceNow.
Quality Measurement
- Measure specification: Development of a new quality measure, including numerator and denominator inclusion and exclusion criteria, relevant codes, calculation algorithms, and scoring.
- Adapting measures for new programs: The process of revising measure specifications to change the unit of measure or data source, or align with specific quality programs, models, or patient populations.
- Validity testing: The process of testing whether experts agree that a measure accurately gauges what it intends to measure with specifications that align with applicable evidence (e.g., does not include unwarranted exclusions or off-base definitions). This can include face validity, content validity, and construct validity.
- Reliability testing: The process of testing the consistency of a measure or whether results can be reproduced including signal-to-noise and temporal correlation.
- NQF endorsement: Endorsement by the National Quality Forum includes the submission of documentation relaying the proposed measure specifications and results from all relevant validity, reliability, and usability testing. Each measure undergoes review by a scientific methods panel and review by a panel of experts on the specific measurement topic.
Program Evaluation
- Mixed-methods research: Mixed-methods research combines both quantitative and qualitative methods and data to answer research questions. Data from one type of method are used to complement, increase insight into, and provide context for the other.
- Qualitative data analysis: The process of organizing, analyzing, and interpreting qualitative (i.e., non-numeric) data elements to answer research questions. Qualitative data analysis identifies themes, compares patterns, and develops conclusions and recommendations based on the data elements that are analyzed.
- Focus groups & interviews: Qualitative research techniques that involve hearing directly from individuals about their experiences in their own words.
- Survey design: A multistage process to develop, design, and test questionnaire instruments. Effective surveys receive the maximum response rate with the highest quality data.
- Literature reviews: A comprehensive summary of prior research on healthcare topics important to decision makers. Literature reviews are conducted using systematic search strategies to mine the academic and grey literature. They summarize, synthesize, and identify gaps within a body of research.
Highlights of Econometrica’s Health Projects
Post-Acute Care (PAC) Training
TASK: Develop training in multiple modalities to support PAC providers in skilled nursing facilities, inpatient rehabilitation facilities, long-term care hospitals, home health, and hospice in understanding patient assessment and coding instructions required by the Centers of Medicare and Medicaid Services for their care settings.
RESULTS: Trainings have averaged over 50,000 provider impacts per year, with events hosted for up to 3,000 simultaneous attendees.
EXPERTISE: Needs assessment, webinars, web-based training, job aids, multiday virtual training events, explainer videos.
Augmentation to MEPS-HC to Continue Survey During COVID-19 and Future Emergent Situations
TASK: Tested the feasibility and usability of an instrument that would augment the current semiannual Medical Expenditure Panel Survey (MEPS) interview with a series of web-based monthly check-ins that are designed to improve reporting accuracy. The concept is designed to invite MEPS respondents to provide information more frequently but in shorter, self-administered sessions.
RESULTS: Recruited for and supported interviews with subjects who represent the major groups of MEPS respondents (e.g., minorities, people with public health insurance coverage, families with young children, multi-generation families). Supported the testing of new modes of data collection for the survey.
EXPERTISE: Recruitment, virtual interviews, usability testing.
State Data Resource Center (SDRC)
TASK: Provided technical assistance to support State Medicaid agencies in integrating care for individuals who are enrolled in both Medicare and Medicaid (i.e., dually eligible beneficiaries). States’ care coordination efforts targeted the coordination of benefits between Medicare and Medicaid and included patient-level analyses; State program integrity efforts analyzed and aimed to reduce fraud, waste, and abuse within the State Medicaid system.
RESULTS: Econometrica coordinated the delivery of Medicare data to States, provided technical advice, and helped States optimize the use of available data for care coordination, quality improvement, and program integrity.
EXPERTISE: Literature review, stakeholder engagement, help desk management, survey design, data visualization, webinar facilitation and support.
Health Group
Econometrica’s Health Group consists of public and clinical health researchers, analysts, instructional designers, and economists who provide expertise in training, information diffusion, health research, quality measure development, monitoring, evaluation, technical assistance, and data analytics.
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Clinical Practice | Grants Management
Health Equity Resrouces | Learning Solutions
Monique Sheppard, Ph.D., M.S.
Senior Advisor