Counted Health is a burden-mapping tool built on public federal data. It is not a diagnosis and gives no medical advice.

For clinicians & state health offices

A pattern to recognize, and where burden concentrates.

This is not a diagnostic or screening instrument. It is a population pattern from a U.S. federal health survey that shows where invisible-illness burden concentrates — useful for recognizing the pattern in a patient in front of you, or for targeting outreach at a state or health-system level.

How you use it

  1. Recognize the pattern.People are sorted into five bands by how much their health is affected — bands, not diagnoses, and not clusters an algorithm “found” — and the share with a diagnosed chronic condition rises steadily across them, from about 33 in 100 to about 72 in 100.
  2. See how large the gap is.People in the highest-burden band are more than twice as likely to have a chronic condition as those in the lowest — even after accounting for age, sex, race, and BMI — so the gradient is not merely age.
  3. Target resources.State health offices and health systems can use the same burden groups to steer outreach or chart review toward the highest-burden population — never as a diagnosis or screen for any single patient. The survey was taken before COVID, so this is a fatigue and functional-impairment pattern, not Long COVID specifically.

What you get

A source-cited evidence brief written for clinical use — where the burden concentrates, for targeting outreach or chart review, not for diagnosing any one patient.

Counted Health · Evidence brief · Clinician framing

Where the pattern concentrates

The highest-burden group carries 2.45× the adjusted odds of a chronic condition versus the lowest-burden group (95% CI 1.92–3.12) — a survey-weighted climb from 33% to 72%.

Share with a chronic condition, by burden group

33%
Low burden
41%
Early drift
49%
Mixed signals
57%
Multi-system strain
72%
High, hidden burden

Across the full population, women are disproportionately represented in the highest-burden region (60% female vs roughly half overall).

  • Impairment-score quintiles (not diagnoses) show a monotonic chronic-condition gradient: 33% → 72% survey-weighted.
  • Highest- vs lowest-burden quintile: 2.45× the adjusted odds of a chronic condition versus the lowest-burden group (95% CI 1.92–3.12), controlling for age, sex, race, and BMI.
  • Use this to target outreach or chart review toward the highest-burden stratum; it is not a screening or diagnostic instrument.

Sources

This is a burden-mapping pattern from population survey data, not a diagnosis, a cause, or a prediction for any one person.

Counted Health · countedhealth.com

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