Trends in hospital administrative costs: urban-rural disparities, barriers, and reduction strategies
- PMID: 40831918
- PMCID: PMC12359134
- DOI: 10.1093/haschl/qxaf149
Trends in hospital administrative costs: urban-rural disparities, barriers, and reduction strategies
Abstract
Introduction: Administrative expenses represent a growing portion of hospital costs in the United States. However, the distribution of these costs remains underexamined. This study examines trends in administrative and general (A&G) spending among hospitals and evaluates the broader impact on expenses.
Methods: We conducted a sequential explanatory mixed methods study, analyzing Medicare cost report data from 2011 to 2022 for all US short-term acute care hospitals. Quantitative analysis focused on A&G salary expenses and total A&G costs as a percentage of overall hospital expenditures. Findings were supplemented with qualitative interviews with hospital executives to contextualize observed trends.
Results: While urban hospitals reported higher total A&G expenses, rural hospitals consistently allocated a larger proportion of spending to A&G salaries, 18% more on average. Across all hospital types, A&G salary costs declined as a share of total expenses while total administrative costs increased, reflecting a shift toward nonsalary drivers.
Conclusions: Rising administrative costs are primarily driven by systemic and structural demands, rather than salaries. Addressing these challenges will require targeted policy responses that simplify processes and support the unique needs of hospitals with limited resources, particularly in rural communities. Such reforms may enhance financial resilience and promote sustainable access to care.
Keywords: A&G; hospital administrative costs; salary expenses.
© The Author(s) 2025. Published by Oxford University Press on behalf of Project HOPE - The People-To-People Health Foundation, Inc.
Conflict of interest statement
Conflicts of interest: Please see ICMJE form(s) for author conflicts of interest. These have been provided as supplementary materials. Generative AI tools (specifically, OpenAI's ChatGPT) were used in a limited, supportive role during the qualitative analysis phase of this project. No personal identifiable information was shared with the tool; only summaries were submitted for evaluation, and the primary author retains full responsibility for all content and interpretation under COPE guidelines.
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