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. 2021 Jan 22;37(1):249–251. doi: 10.1007/s11606-020-06410-z

Improving Economic Conditions Matter for Mortality: Changes in Local Economic Distress Associated with Mortality Among Medicare Fee-for-Service Beneficiaries Between 2003 and 2015

Harper O W Wallace 1, Kenan Fikri 2, James N Weinstein 3,4,5,6, William B Weeks 3,
PMCID: PMC8738841  PMID: 33483817

INTRODUCTION

Among Medicare fee-for-service beneficiaries, higher local economic distress is associated with less recommended care receipt;1 higher end-of-life spending among decedents;2 and higher per-capita spending, lower care quality, and higher mortality rates.3 We sought to determine whether spending and mortality rate disparities changed over time and within communities where local economic distress changed dramatically.

METHODS

From the Dartmouth Atlas Project,4 we obtained 2003–2015 hospital service area (HSA)–level data on price- and age-, sex-, and race (ASR)-adjusted total annual per-capita Medicare Part A+B expenditures and ASR-adjusted mortality rates for fee-for-service enrollees.

From the Economic Innovation Group (EIG), we obtained 2000 and 2015 Distressed Communities Index (DCI) scores at the zip code level. Constructed from seven measures of local economic distress, scores range from 0 (least economically distressed) to 100.13 For 3412 HSAs, we assigned zip code-enrollee-weighted HSA-level scores to 2000 and 2015 DCI quintiles.

We tracked annual expenditure and mortality rates over time and used enrollee-weighted ANOVA (R, Vienna, Austria) to compare quintile-specific values. We identified HSAs that started in the least or most distressed quintiles in 2000 and compared those that changed at least 2 quintiles by 2015 (n = 14 and 39, respectively) to those that did not (n = 628 and 603, respectively).

We obtained all data from publicly available sources; IRB approval was not required.

RESULTS

Between 2003 and 2015, annual per-capita Part A+B expenditures for the most economically distressed HSAs were 12–13% higher than those for the least (p < 0.0001 for each year); across quintiles, expenditures rose rapidly between 2002 and 2010, then flattened (Fig. 1, left).

Figure 1.

Figure 1

Price-, age-, sex-, and race (PASR)-adjusted per-capita Medicare Part A+B annual expenditures for HSAs grouped by 2000 DCI quintile (left) and grouped by the most- and least-economically distressed HSAs that remained in those categories or experienced dramatic improvements or worsening of local economic conditions (right).

Mortality rates declined across all 2000 DCI-defined quintiles; they were substantially higher in the most economically distressed HSAs than in the least (p < 0.0001 for each year). Between 2003 and 2015, the absolute mortality gap between most and least distressed quintiles increased from 0.76 to 1.13% (Fig. 2, left).

Figure 2.

Figure 2

For 2003–2015, annual age-, sex-, and race (ASR)-adjusted fee-for-service Medicare beneficiary mortality rates grouped by local economic distress-defined hospital service area quintiles in 2000 (left) and grouped by the most- and least-economically distressed HSAs that remained in those categories or experienced dramatic improvements or worsening of local economic conditions (right).

Enrollees living in areas where local economic conditions substantially worsened between 2000 and 2015 experienced higher ASR-adjusted mortality rates than those where economic conditions remained favorable by a widening margin, from − 0.05% in 2003 (n.s.) to 0.53% in 2015 (p < 0.05). Enrollees living in areas where local economic conditions substantially improved experienced significantly lower ASR-adjusted mortality rates than those where economic conditions remained unfavorable, with the absolute mortality gap widening over time (from 0.77% in 2003 to 1.28% in 2015, p < 0.0001 for each year) (Fig. 2, right). Per-capita spending was higher in HSAs where economic distress decreased than where it remained high (p < 0.01 in all years save 2006–2010) (Fig. 1, right).

DISCUSSION

We found that Medicare fee-for-service enrollees living in the most-economically distressed areas in 2000 consistently experienced higher per-capita expenditures and mortality rates between 2003 and 2015 than those living in the least. Among those living in the most- and least-distressed HSAs, substantial improvement or worsening of local economic conditions was associated with relative decreases or increases in mortality rates, respectively; per-capita costs were higher where economic distress dramatically improved. Flattening of cost growth across quintiles since 2010 could be due to convergence in cost growth across high- and low-spending regions5 or decreasing decedents’ end-of-life care costs during that time.2 Additional research should explore why there were lower initial mortality rates among HSAs wherein the local economic environment improved dramatically.

Our findings suggest that Medicare fee-for-service beneficiaries living in persistently economically distressed communities face disproportionately high mortality rates. However, substantial improvement in local economic conditions might mitigate that inequity. This research suggests that effective economic development interventions6 could confer long-term health benefits in a relatively short time period.

Our study has several limitations. First, our findings are associative, not causative; however, they are based on a natural experiment and random assignment to increasing or decreasing local economic conditions is not possible. Second, our findings apply only to Medicare fee-for-service enrollees and the time period examined; results examining other populations and time periods may differ. Finally, we used EIG’s measures of community distress; other measures may generate different results.

Despite these limitations, our findings identified important relationships between changes in local economic distress and long-term mortality rates and confer a mix of anguish and hope: anguish in that these seem inextricably linked; hope in that relative improvement in economic distress may improve health outcomes relatively quickly.

Acknowledgments

This paper used propriety data provided by the Economic Innovation Group. The findings expressed in this article are solely those of the authors and not necessarily those of the Economic Innovation Group. The Economic Innovation Group does not guarantee the reliability of, or necessarily agree with, the information provided herein. The Medicare fee-for-service reimbursement and mortality data used here were obtained from Dartmouth Atlas Data website, which was funded by the Robert Wood Johnson Foundation, The Dartmouth Clinical and Translational Science Institute, under award number UL1TR001086 from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH), and in part, by the National Institute of Aging, under award number U01AG046830.

Funding

Mr. Wallace was funded by the US–France Fulbright Commission in Paris, France.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they do not have a conflict of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

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