Report · Health

Who people would trust with CGM data

Reading

In a Verasight survey of 1,000 U.S. adults conducted May 1 to 4, 2026, 76% of Americans said they would be willing to share CGM data with a doctor or healthcare provider if they were using one.

Family members or close friends followed at 47%, while 23% selected a health or wellness coach and 20% selected a health insurance company.

Topline

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Selected responses

76% would share CGM data with a doctor or healthcare provider.

If you were using one, who (if anyone) would you be willing to share your CGM data with?

  • A doctor or healthcare provider 76.3%
  • A family member or close friend 46.8%
  • A health or wellness coach 22.6%
  • My health insurance company 19.9%
  • An AI-powered health or nutrition app or program 17.3%
  • I would not use a CGM 11.1%
  • No one - I would keep this data entirely private 6.1%

2026 · base n 1,000 · +/- 3.3%

2

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Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2026-05-01 → 2026-05-04
Base (unweighted)
1,000
Margin of error
+/- 3.3%
Module
2

Source

Citation

SBM Omnibus Survey #2026-049, fielded May 1-4, 2026, N=1,000 US adults age 18+, +/- 3.3%.

https://reports.verasight.io/r/sbm-2026

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. When a wave report is published, its field dates, sample sizes, and module breakdown are listed in that report.

Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting.
Population
US adults age 18+.
Sample design
Surveys are run as omnibus or single-topic waves. Omnibus waves are split into modules with their own respondent set, typically around one thousand respondents per module.
Field window
Each wave specifies its own field dates. Most omnibus waves field across roughly two weeks.
Weighting
Per-module weighting to CPS targets including age, race and ethnicity, sex, income, education, region, and metropolitan status.
Partisanship benchmark
Pew Research Center's NPORS benchmarking surveys, three-year running average.
Vote benchmark
2024 presidential vote population benchmarks.
Margin of error
Typically about plus or minus 3.4 to 3.6 percent per module at standard module sizes. Question-level MoE is recomputed when a base shrinks materially below the module baseline.
Reporting
The canonical report hub is reports.verasight.io. Verified legacy reports remain on their original hosts, and unpublished reports are marked pending.
Transparency
Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

The canonical report hub is reports.verasight.io; older reports may remain on verified legacy hosts.