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New Research Reveals Money Troubles for Many Hospital Staff

Healthcare workers have been on the frontlines caring for our communities, but many are struggling to make ends meet themselves. New research reveals the financial burden they face.

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The Reality: Stretching Paychecks, Missed Bills

Infographic showing financial stress statistics: 57% feel stressed, 49% find paying bills challenging, 34% ran out of money between paychecks, 25% couldn't pay a bill, and 37% of healthcare workers can't save enough.
Five circles with financial stress statistics: 57% stressed about finances, 49% struggle to pay bills, 34% ran out of money between paychecks, 37% healthcare workers can't save, 25% unable to pay a bill.

The Solution: More Frequent Access to Earned Wages

What if healthcare workers didn't have to wait weeks between paychecks for the wages they've already earned?

With this benefit, workers can transfer their accrued but unpaid wages to their wallet anytime to pay bills, spend, save or invest on their own schedule.

Unlock Financial Freedom for Your Hospital Staff

Two document pages, one displaying statistics and icons, the other showing a report cover titled "Healthcare Workers Face Daunting Economic Challenges But Say DailyPay Can Help" with a photo of professionals.

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Empowering for Employees

Greater financial control with access to 100% of their DailyPay balance to meet the challenges of unexpected financial disruptions.

Improve planning with visibility to spending and earned pay in one easy-to-use app.

No need for a pre-existing checking or savings account.

Simple and Secure for Employers

Minimal change to payroll processes — DailyPay handles it all.

Seamless integration with HCM, payroll, banking and benefit applications.

Enterprise-grade platform that keeps data private and the service running so it's always there when your employees need it.

Survey Methodology

Respondents for this survey were selected from among those who have agreed to participate in our surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval.

For this study, the sample data is accurate to within ± 6.4 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest. For complete survey methodology, including weighting variables and subgroup sample sizes, please contact david.schwarz@dailypay.com.