Impact of conversion to Critical Access Hospital status on hospital efficiency

Nedelea, I. Cristian; Fannin, James Matthew

doi:10.1016/j.seps.2012.09.005

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…A micro-level evaluation assesses healthcare institutions' efficiencies with regard to particular factors such as: technical efficiency (e.g., Dimas et al, 2012;Fizel & Nunnikhoven, 1992;Omrane et al, 2019), technological advance (e.g., Barros et al, 2008), IT investment (e.g., Gholami et al, 2015), information system (e.g., Haghighi & Torabi, 2018), level of private/public markets competition (e.g., Guerrini et al, 2018), environmental and socioeconomic indicators (e.g., Chen et al, 2019;, and institutional status, that is, whether it is rural or teaching (e.g., Hasni et al, 2021;Nedelea & Fannin, 2013), geographical location of healthcare centers (e.g., Rezaee & Karimdadi, 2015), number of the available physicians (e.g., Johannessen et al, 2017), and medical or non-medical home (e.g., DePuccio & Ozcan, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid model for a cross‐department efficiency evaluation in healthcare systems

et al. 2021

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This work investigates a new hybrid data envelopment analysis (DEA) and grey relational analysis (GRA) for a macro‐level evaluation of healthcare organizations. Once similar processes and decision‐making units (DMUs) are identified, the DEA is used to extract the efficient DMUs and introduce potential improvements. Then, the identified DMUs and inputs are scanned by the GRA to highlight their preference order and thus retrieve the benchmarked DMUs and the most influencing variables to prioritize. An empirical analysis evolving 63 DMUs across four departments of a Tunisian teaching hospital was conducted to provide useful guidance to policymakers to better allocate available resources.

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Section: Literature Reviewmentioning

confidence: 99%

Hybrid model for a cross‐department efficiency evaluation in healthcare systems

et al. 2021

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“…16 It has also allowed critical-access hospitals to invest in upgraded facilities and equipment, which may result in improved diagnosis and patient care. 17 In addition, subsequent studies of mortality rates at critical-access hospitals have found that their surgical mortality rates are equivalent to those at other types of hospitals, 18 and their stroke mortality rates are similar to those at other hospitals with relatively low volumes. 19 Researchers have not examined the relationship between distance to another hospital and a critical-access hospital's financial and quality performance.…”

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confidence: 97%

Minimum-Distance Requirements Could Harm High-Performing Critical-Access Hospitals And Rural Communities

et al. 2015

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Since the inception of the Medicare Rural Hospital Flexibility Program in 1997, over 1,300 rural hospitals have converted to critical-access hospitals, which entitles them to Medicare cost-based reimbursement instead of reimbursement based on the hospital prospective payment system (PPS). Several changes to eligibility for critical-access status have recently been proposed. Most of the changes focus on mandating that hospitals be located a certain minimum distance from the nearest hospital. Our study found that critical-access hospitals located within fifteen miles of another hospital generally are larger, provide better quality, and are financially stronger compared to critical-access hospitals located farther from another hospital. Returning to the PPS would have considerable negative impacts on critical-access hospitals that are located near another hospital. We conclude that establishing a minimum-distance requirement would generate modest cost savings for Medicare but would likely be disruptive to the communities that depend on these hospitals for their health care.

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