Executive Summary

Background

Health care is expensive in the U.S., and Georgia is no exception; across the country 71% of all CHESS respondents surveyed have reported some form a health care affordability burden. Despite the fact that the U.S. spends substantially more on health care per person than other high‑income countries, this higher spending does not consistently translate into better population health outcomes, such as longer life expectancy or lower rates of avoidable illness and death.[1]^,[2],[3]

Health care costs continue to rise faster than wages and household income,[4]^,[5] placing growing pressure on household budgets. Many of the policies that shape how health care is financed, delivered, and regulated operate at the state level, making states a key arena for addressing affordability.[6] State‑level data on affordability helps policymakers and advocates understand how national cost pressures are experienced locally, identify which populations face the greatest burden, and evaluate policy options aimed at improving access and reducing financial strain.

Detailed information on methods and the respondents who took this survey are available in the Appendix.

A Range of Health Care Affordability Burdens

In Georgia, nearly three in four (73%) of respondents reported that they, or a family member, skipped or delayed medical care due to cost. This figure exceeds the nationwide percentage; 69% of CHESS respondents across all states surveyed reported forgoing or delaying care due to cost. Among those reporting affordability challenges in Georgia, the most common experiences reported were:

• 37% Cut pills in half, skipped doses of medicine or did not fill a prescription;
• 32% Delayed going to the doctor or having a procedure done;
• 28% Skipped a recommended medical test or treatment;
• 21% Avoided going to the doctor or having a procedure done altogether;
• 15% Skipped needed mental health care;
• 8% Skipped or delayed getting a medical assistive device; and
• 4% Skipped needed maternity or reproductive health care.

Cost was the most commonly cited reason for delaying or foregoing care (30%). However, other barriers also played a role, including needing a service that wasn’t covered by the respondent’s insurance (14%) or having to wait too long in a doctor’s office or being unable to get an appointment (both 12%). Among uninsured respondents, 52% cited the high cost of insurance as the primary reason they remained without coverage, surpassing other commonly reported reasons such believing coverage was unnecessary or not knowing how to enroll.

Differences in Health Care Affordability Burdens

Health care affordability burdens may be experienced differently across income, employment status, insurance coverage, race and ethnicity, age, and disability status. High frequencies of affordability burdens have been reported by CHESS respondents across the country; as a whole, 71% of CHESS respondents across all states surveyed have reported experiencing one or more health care affordability burden(s).

Income and Employment

Respondents with lower household incomes reported higher rates of health care affordability burdens than those with higher incomes. In Georgia, over eight in ten respondents (86%) with an annual household income of less than $50,000 reported experiencing at least one health care affordability burden in the last year. These respondents also reported delaying or forgoing care due to cost more frequently than respondents with higher incomes (Figure 1).

Affordability challenges also varied by employment status. Respondents employed full time reported experiencing any health care affordability burden and going without care due to cost more frequently than respondents of other employment groups and those who were employed part-time reported rationing medication due to cost more frequently than those of other employment groups (Figure 2).

Insurance Coverage and Type

Respondents with different forms of coverage reported distinct patterns of cost related barriers, reflecting differences in premiums, cost sharing, and access to covered services. In the National CHESS data set respondents without health insurance coverage, those that purchase their health insurance on the Marketplace, and those on Medicaid experience higher rates of skipping or rationing care. Approximately 17% of Georgia’s population is covered by Medicaid or the Children’s Health Insurance Program (CHIP), which provides subsidized health insurance to people with lower incomes or disabilities.[10] Many respondents expressed strong support for maintaining and strengthening the Medicaid program, including ensuring access for low‑income individuals, people with disabilities, and families. Despite this support, respondents enrolled in Georgia’s Medicaid program reported going without care due to cost more frequently than respondents with other forms of coverage, as well as medication rationing (Table 1). Followed by respondents with coverage they purchased individually, such as through the health insurance Marketplace. While respondents enrolled in Medicare reported the lowest incidence of rationing medication or going without care due to cost (Table 1).

When asked to describe their experiences, some survey participants shared personal accounts of being unable to access necessary health care because of cost. While individuals without health insurance coverage often face the most severe affordability burden, respondents with employer-sponsored coverage, individually purchased plans, Medicare, and Medicaid also described difficulties accessing care due to cost (Table 2).

Race and Ethnicity

Nationwide CHESS data demonstrates significant differences in respondents’ ability to afford health care. While 71% of all CHESS respondents across all states surveyed report experiencing any health care affordability burden, this figure increases to 82% of all Hispanic, Latino, Black or African American respondents and 84% of all American Indian or Alaskan Native respondents across all states.

Like nationwide CHESS figures, respondents of color in Georgia reported higher rates of going without care and rationing medication due to cost than white, non-Hispanic respondents. In the past year, 78% of respondents of color reported forgoing care due to cost, compared to 68% of white, non-Hispanic respondents (Table 3).

Age and Disability

Affordability burdens varied across age groups (Table 4). In Georgia, young adults aged 18-24 and 22-34 reported the highest rates of forgoing care due to cost, though affordability concerns extended across age groups. More than half of respondents under age 55 reported skipping care in the past year due to financial constraints. Young adults also reported the highest rates of medication rationing due to cost.

Respondents with a disability, or who lived with someone with a disability, reported higher rates of health care affordability burdens than those in households without a disability. Among this group, 85% reported going without some form of care and 52% reported rationing medication due to cost in the past year, compared to 67% and 31%, respectively.

Nationwide, 81% of CHESS respondents with a disability, or who live with a person with a disability, across all states surveyed reported forgoing or delaying care due to cost, compared to 64% of all CHESS respondents across all states surveyed who do not have a disability or do not live with a person with a disability. These differences were also reflected in disability-related health needs: 15% of respondents with a disability or with a disabled household member reported delaying the purchase of a medical assistive device (like a wheelchair, cane/walker, hearing aid, or prosthetic limb) due to cost, compared to only 5% of respondents in households without a disability (Figure 3).

Encountering Medical Debt

Although many respondents reported delaying, forgoing, or rationing care due to cost, others did receive care but experienced financial hardship from the resulting medical bills. More than a third of respondents (43%) reported experiencing at least one significant financial burden related to medical costs, being contacted by a collection agency (18%), including using up savings (14%), borrowing money (13%), or going without basic necessities (12%).

Medical debt‑related financial burdens were more common among lower-income respondents, with slightly over 5 in 10 of respondents earning $50,000 (51%) reporting a financial burden due to medical bills, compared to about 3 in 10 (31%) among those with incomes of $100,000 or more. Respondents with disabilities or household members with disabilities (66%) and respondents of color (47%) also reported higher rates of medical debt-related burdens than their counterparts (33% and 39%, respectively).

Among respondents who reported medical debt, most (34%) reported having health insurance at the time the debt was incurred. Common reasons cited included:

• 58%—My insurance only covered a portion of the service, and the remaining bill is too high;
• 15%—My insurance didn’t cover the service at all;
• 12%—My deductible was too high, and I was not able meet it;
• 4%—My coinsurance was too high, and I could not afford to pay it; and
• 4%—The interest rate on the debt is too high.

High Levels of Worry about Affording Care and Coverage

Most respondents in Georgia report concern about their ability to afford care. These results align with national surveys showing that worry about affording health care is widespread across the U.S., even among insured adults.^7,11 Across the country, 79% of all CHESS respondents reported concerns about affording the cost of care. This figure slightly exceeds the percentage of Georgia respondents; 78% of Georgia respondents reported being either “worried” or “very worried” about affording some aspect of care in the future.

Respondents most commonly reported worry about affording nursing and home care and cost of care following a serious illness (61% and 60% respectively), as well as medical costs in older age (59%). Concerns about affording health insurance (53%), affording an ambulance ride (52%), and prescription drugs (50%) were also frequently reported.

Although concerns about long-term care and medical costs are often associated with older adults, these worries were more frequently reported by younger respondents. For example, 61% of respondents aged 18–24 and 76% of those aged 45–54 expressed concern about being able to afford medical costs when they are older. More than half of all respondents under age 65 (59%) reported being worried about paying for some form of long-term care (Figure 4).

Healthcare Consolidation and Consumer Concerns

In the past year, 29% of respondents reported that they were aware of a merger or acquisition in their community. Among those who noticed changes following a merger or acquisition, respondents commonly reported higher out-of-pocket costs (28%), fewer choices of providers (28%), providers leaving insurance networks (21%), and perceived declines in care quality (18%).

When asked about their largest concern related to health care consolidation, respondents most frequently reported:

• 30%—I’m concerned I will have to pay more to see my doctor;
• 23%—I’m concerned I will have fewer choices of where to receive care;
• 19%—I’m concerned my doctor may no longer be covered by my insurance;
• 12%—I’m concerned I will have a lower quality of care; and
• 11%—I’m concerned I will have to travel farther to see my doctor

Together, these concerns highlight how health care consolidation can affect patients’ access, choice, and out‑of‑pocket costs.

Support for Policy Solutions

Respondents expressed strong support for changes to address high and rising health care costs. Over eight in ten (82%) agreed or strongly agreed that “the system needs to change.”

When asked which issues the government should prioritize in the coming year, respondents most frequently identified health care (54%), economy and joblessness (52%), and affordable housing (42%). Among health care-specific priorities, respondents most often selected addressing high health care costs, including ensuring everyone has access to healthcare coverage (45%), hospital costs (40%), and ensuring access to care when needed (39%).

Respondents most frequently identified drug companies (70%), health insurance companies (69%), and hospitals (55%) as responsible for high healthcare costs, while 47% also viewed state government as playing a role.

Support for policy approaches to address health care costs was strong across political affiliations. Respondents across parties endorsed a range of strategies to reduce out-of-pocket costs, increase price transparency, promote competition, and strengthen access to coverage (Table 5).

Conclusion

Findings from the Georgia Consumer Healthcare Experience Survey show that high health care costs remain a significant barrier to accessing care and maintaining financial security for many residents. While affordability challenges were widespread, some groups experienced a disproportionate burden.

At the same time, respondents across political affiliations shared common concerns about rising health care costs and expressed broad support for policy approaches to improve affordability, including lowering out‑of‑pocket costs, increasing price transparency, strengthening coverage, and promoting competition.

Together, these findings highlight health care affordability as a shared concern with implications for access, financial security, and long‑term health, and demonstrate how state‑level data can inform efforts to improve access to affordable, high‑quality care.

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Notes

[1] Peterson-KFF Health System Tracker. (n.d.). Health spending in the U.S. compared to other countries [Chart collection]. https://www.healthsystemtracker.org/chart-collection/health-spending-u-s-compare-countries/

[2] OECD. (2025). Health at a glance 2025. OECD Publishing. https://www.oecd.org/en/publications/health-at-a-glance-2025_8f9e3f98-en.html

[3] Commonwealth Fund. (2023, January). U.S. health care from a global perspective, 2022. https://www.commonwealthfund.org/publications/issue-briefs/2023/jan/us-health-care-global-perspective-2022

[4] KFF. (2022). Health care costs and affordability (Health Policy 101). https://www.kff.org/health-costs/health-policy-101-health-care-costs-and-affordability/

[5] Gallup. (2026). One-third of Americans cut back to cover healthcare expenses. https://news.gallup.com/poll/702596/one-third-americans-cut-back-cover-healthcare-expenses.aspx

[6] KFF. (2025). Congress and the executive branch and health policy (Health Policy 101). https://www.kff.org/state-health-policy-data/health-policy-101-congress-and-the-executive-branch-and-health-policy/

[7] Rakshit, S., McGough, M., & Claxton, G. (2026). How does cost affect access to health care? Peterson-KFF Health System Tracker. https://www.healthsystemtracker.org/chart-collection/cost-affect-access-care/

[8] Achterbosch, M., Aksoy, N., Obeng, G. D., Ameyaw, D., Ágh, T., & van Boven, J. F. M. (2025). Clinical and economic consequences of medication nonadherence: A review of systematic reviews. Frontiers in Pharmacology, 16, 1570359. https://doi.org/10.3389/fphar.2025.1570359

[9] Gaffney, A., McCormick, D., Dickman, S. L., et al. (2026). Risk of burdensome health care spending over time in the US. JAMA Internal Medicine, 186(2), 203–213. https://doi.org/10.1001/jamainternmed.2025.6948

[10] Kaiser Family Foundation. (2024). Health insurance coverage of the total population [State indicator]. https://www.kff.org/other/state-indicator/total-population/

[11] Sparks, G., Lopes, L., & Montero, A. (2026). Americans’ challenges with health care costs. KFF. https://www.kff.org/health-costs/americans-challenges-with-health-care-costs/

[12] Collins, S. R., Roy, S., & Masitha, R. (2023). Paying for it: How health care costs and medical debt are making Americans sicker and poorer. Commonwealth Fund. https://www.commonwealthfund.org/publications/surveys/2023/oct/paying-for-it-costs-debt-americans-sicker-poorer-2023-affordability-survey

[13] Winger, A., Rae, M., & Claxton, G. (2025). Part-time workers have less access to employer-based coverage than full-time workers. KFF. https://www.kff.org/private-insurance/part-time-workers-have-less-access-to-employer-based-coverage-than-full-time-workers/

[14] Cohen, R. A., & Cha, A. E., (2023). Health insurance coverage: Early release of estimates from the National Health Interview Survey, 2022 (National Health Statistics Reports No. 180). Centers for Disease Control and Prevention. https://www.cdc.gov/nchs/data/nhsr/nhsr180.pdf

[15] Centers for Disease Control and Prevention, Disability and Health Branch. (2024, July 15). Disability impacts all of us [Infographic]. https://www.cdc.gov/disability-and-health/media/pdfs/disability-impacts-all-of-us-infographic.pdf

Appendix. Methodology and Population

Altarum’s Consumer Healthcare Experience State Survey (CHESS) is designed to elicit respondents’ views on a wide range of health system issues, including confidence using the health system, financial burden and possible policy solutions. This survey, conducted from July 8^th to July 23^rd, 2026, used a web panel from Dynata with a demographically balanced sample of nearly 1,400 respondents who live in Georgia. Information about Dynata’s recruitment and compensation methods can be found here. The survey was conducted in English or Spanish and restricted to adults ages 18 and older. Respondents who finished the survey in less than half the median time were excluded from the final sample, leaving 1,379 cases for analysis. After those exclusions, the demographic composition of respondents was as follows, although not all demographic information has complete response rates:

Percentages in the body of the brief are based on weighted values, while the data presented in the demographic table is unweighted. An explanation of weighted versus unweighted variables is available here. Altarum does not conduct statistical calculations on the significance of differences between groups in findings. Therefore, determinations that one group experienced a significantly different affordability burden than another should not be inferred. Rather, comparisons are for conversational purposes. The groups selected for this brief were selected by advocate partners in each state based on organizational/advocacy priorities. We do not report any estimates under N=100 and a co-efficient of variance more than 0.30.