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What people want from healthcare access

Source reportMethodology

Overview

When adults think about delayed primary care, the top help they name is a sooner appointment at 32%. Telehealth visits and clearer cost information are also visible, but neither is a majority answer.

Women's health is more divided. About 26% disagree that women's health conditions receive adequate attention in the healthcare system, while 23% agree.

Topline

32% say a sooner appointment would help after delayed primary care.

If you delayed getting care from your primary doctor, what would have helped make it easier for you to go to your appointment?

  • An appointment offered sooner 31.8%
  • I have never delayed getting care from my primary doctor 30.6%
  • A video (telehealth) visit 27.5%
  • Clear information about the cost 22.3%
  • A ride to and from my appointment arranged for me 15.0%
  • A home visit instead of going to the doctor’s office 12.0%

2025 · base n 1,000 · +/- 3.2%

soc_pol

View source data

Faster appointments are the clearest access help

Among the options tested, a sooner appointment is the top thing adults say would help after delaying primary care.

The next responses are close: 31% say they have never delayed primary care, 28% name a video visit, and 22% name clearer information about cost.

Stacked breakdown

26% disagree and 23% agree that women's health gets adequate attention.

To what extent do you agree with the statement: "Women’s health conditions receive adequate attention in the healthcare system (e.g., research funding, diagnosis, treatment)."

Strongly disagree
15.5%
Disagree
25.5%
Neither agree nor disagree
20.2%
Agree
22.9%
Strongly agree
9.7%
Not sure
6.2%

2025 · base n 1,000 · +/- 3.2%

soc_pol

View source data

Women's health attention does not have a clear consensus

Views are split on whether women's health conditions receive adequate attention in the healthcare system: disagreement is slightly ahead, but not by much.

At the same time, 44% say they would be very comfortable discussing menstrual or reproductive health issues with a healthcare provider.

Topline

51% support required paid leave for reproductive health care.

Do you believe employers should be required to provide paid medical leave for any of the following?

  • Reproductive health care (e.g., gynecologic procedures, pelvic pain management) 50.6%
  • Fertility care (e.g., in vitro fertilization (IVF) appointments, fertility testing) 41.1%
  • Menstrual care (e.g., severe menstrual pain, menstrual disorders) 38.9%
  • Not sure 21.2%
  • None of the above 18.3%

2025 · base n 1,000 · +/- 3.2%

tech_behavior

View source data

Paid medical leave draws support around reproductive care

About 51% say employers should be required to provide paid medical leave for reproductive health care, with fertility care and menstrual care also drawing substantial support.

On end-of-life decisions, nearly half say they would want loved ones to stop a breathing machine when two doctors agree there is no chance of getting off it alive.

Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Population
US adults age 18+
Field dates
2025-12-03 → 2025-12-08
Base (unweighted)
1,000
Margin of error
+/- 3.2%
Module
soc_pol
Sponsor
Verasight
Weight variable
weight
Weighting targets
age, race/ethnicity, sex, income, education, region, metropolitan status

Sources

[5]
  • 01
    If you delayed getting care from your primary doctor, what would have helped make it easier for you to go to your appointment?Shows the practical barriers adults name around delayed primary care.reports.verasight.io/reports/verasight-human-llm-comparison-survey-2025-172
  • 02
    To what extent do you agree with the statement: "Women’s health conditions receive adequate attention in the healthcare system (e.g., research funding, diagnosis, treatment)."Shows divided views on whether women's health conditions receive adequate attention.reports.verasight.io/reports/verasight-human-llm-comparison-survey-2025-172
  • 03
    Do you believe employers should be required to provide paid medical leave for any of the following?Shows support for paid leave tied to reproductive, fertility, and menstrual care.reports.verasight.io/reports/verasight-human-llm-comparison-survey-2025-172
  • 04
    How comfortable would you feel discussing menstrual or reproductive health issues with a healthcare provider?Adds context on comfort discussing reproductive and menstrual health with a provider.reports.verasight.io/reports/verasight-human-llm-comparison-survey-2025-172
  • 05
    At what point would you want your loved ones to stop the breathing machine and let you diAdds end-of-life decision context around medical care preferences.reports.verasight.io/reports/verasight-human-llm-comparison-survey-2025-172

Citation

Verasight Human/LLM Comparison Survey #2025-172, fielded December 3-8, 2025, N=1,000 US adults age 18+, +/- 3.2%.

https://reports.verasight.io/reports/verasight-human-llm-comparison-survey-2025-172#if-you-delayed-getting-care-from-your-primary-doctor-what-would-have-helped-make-it-easier-for-you-to-go-to-your-appointment

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. Each wave's specific field dates, sample sizes, and module breakdown are listed in that wave's 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
Every wave is published as a standalone report at verasight.io/reports with full instrument and methodology.
Transparency
AAPOR transparency standards.

Wave-specific methodology, full weighting variable lists, and verbatim instrument text live in each report at verasight.io/reports.