According to a survey of more than 950 Georgia adults conducted from April 12, 2021 to May 3, 2021, residents are concerned about prescription drug costs and express a strong desire to enact solutions.
Over half of all survey respondents (55%) reported being either “somewhat worried” or “very worried” about affording the cost of prescription drugs. Worry varied substantially by income group, with residents in households making less than $50,000 per year experiencing the most worry (see Figure 1). However, it is important to note that a large percentage of households making $75,000-$100,000 and more than $100,000 worried about affording prescription drugs.
In addition to being worried about prescription drug affordability in the future, many Georgia residents experienced hardship in the prior 12 months due to the cost of prescription drugs. Indeed, cost concerns led over one-third (38%) of Georgia adults to not fill a prescription, cut pills in half or skip a dose of medicine (see Figure 2).
These hardships disproportionately impact people in lower income households. As Figure 3 shows, households making less than $75,0001 per year are more likely to have rationed their prescription medicines (by not filling a prescription, cutting pills in half or skipping a dose of medicine) than households making more than $75,000 per year. Still, these hardships are alarmingly prevalent in high income households, with one-third of households earning more than $100,000 per year rationing medication their doctor prescribed.
Additionally, more than one-third of residents in every region of the state reported rationing medication due to cost (see Table 1). Thirty-three percent of adults in the Metro-Atlanta region cut pills in half, skipped a dose or did not fill a prescription in the prior 12 months, while adults in the East region fared much worse, with 44% struggling to afford prescription drugs.
When given more than 20 options, the options cited most frequently as being a "major reason" for high healthcare costs were:
In light of these prescription drug cost concerns—as well as concerns about high healthcare costs generally2—it is not surprising that Georgia adults are dissatisfied with the health system:
When it comes to tackling high drug costs, Georgia adults endorsed a number of strategies:
There is substantial support for government action on drug costs regardless of the respondents’ political affiliation (see Table 2).
While Georgia residents are united in calling for the government to address high drug costs, they also see a role for themselves:
The high burden of healthcare and prescription drug affordability, along with high levels of support for change, suggest that elected leaders and other stakeholders need to make addressing this consumer burden a top priority. Moreover, the current COVID crisis is leading state residents to take a hard look at how well health and public health systems are working for them, with strong support for a wide variety of actions. Annual surveys can help assess whether or not progress is being made.
1. Median household income in Georgia was $58,700 (2015-2019). U.S. Census, Quick Facts. Retrieved from: U.S. Census Bureau QuickFacts: Georgia
2. For more detailed information about healthcare affordability burdens facing Georgia residents, see: Healthcare Value Hub, Georgia Residents Struggle to Afford High Healthcare Costs; COVID Fears Add to Support for a Range of Government Solutions Across Party Lines, Data Brief No. 101.
Altarum’s Consumer Healthcare Experience State Survey (CHESS) is designed to elicit respondents’ unbiased views on a wide range of health system issues, including confidence using the health system, financial burden and views on fixes that might be needed.
The survey used a web panel from Dynata with a demographically balanced sample of approximately 1,000 respondents who live in Georgia. The survey was conducted in English and Spanish and was 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 981 cases for analysis. After those exclusions, the demographic composition of respondents was as follows, although not all demographic information has complete response rates: