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Population Health Analytics Flashcards

7 cards from real HAC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Population Health Analytics flashcards as text
  1. Which population health management model uses a defined per-capita budget to incentivize providers to manage total cost and quality?

    Answer: Global capitation

    Global capitation assigns a fixed per-member budget, transferring financial risk to providers and incentivizing upstream prevention and care coordination.

  2. What is the primary limitation of using emergency department data alone for population health surveillance?

    Answer: It captures only acute care-seeking behavior and misses individuals who do not seek care

    ED data reflects care-seeking behavior, creating selection bias and missing the full disease burden in those who avoid or cannot access emergency care.

  3. In population health analytics, what does 'attribution' refer to?

    Answer: Assigning patients to a specific provider or care team responsible for their outcomes

    Attribution links each patient to an accountable provider or care team, enabling performance measurement and care management accountability.

  4. Which measure from the Triple Aim framework focuses on the experience of care for individuals?

    Answer: Patient satisfaction and quality of care for individuals

    The Triple Aim's individual experience dimension focuses on patient satisfaction, engagement, and quality of care at the person level.

  5. What analytical challenge does 'small denominator instability' create in population health reporting?

    Answer: Rate estimates for small subgroups are statistically unreliable and can fluctuate dramatically with few events

    When a subgroup has very few members, even one or two events can cause the rate to swing widely, making the estimate unreliable for decision-making.

  6. Which approach best reduces selection bias when evaluating a population health intervention without a randomized control group?

    Answer: Propensity score matching to create comparable intervention and comparison groups

    Propensity score matching balances observed confounders between groups, approximating a randomized comparison in observational study designs.

  7. A county health department wants to track progress on reducing childhood obesity. Which data collection approach best captures population-level trends over time?

    Answer: Repeated cross-sectional surveys using standardized BMI measurement protocols

    Repeated cross-sectional surveys with standardized protocols allow trend monitoring across the full population, not just those with clinical encounters.