Literature DB >> 27514727

Geographic variation in cost of care for pituitary tumor surgery.

Charles C Lee1,2, Kristopher T Kimmell3, Amy Lalonde4, Peter Salzman4, Matthew C Miller5, Laura M Calvi6,7, Ekaterina Manuylova6,7, Ismat Shafiq6,7, G Edward Vates3,5,6,7.   

Abstract

PURPOSE: Geography is known to affect cost of care in surgical procedures. Understanding the relationship between geography and hospital costs is pertinent in the effort to reduce healthcare costs. We studied the geographic variation in cost for transsphenoidal pituitary surgery in hospitals across New York State.
METHODS: Using the Healthcare Cost and Utilization Project State Inpatient Database for New York from 2008 to 2011, we analyzed records of patients who underwent elective transsphenoidal pituitary tumor surgery and were discharged to home or self-care. N.Y. State was divided into five geographic regions: Buffalo, Rochester, Syracuse, Albany, and Downstate. These five regions were compared according to median charge and cost per day.
RESULTS: From 2008 to 2011, 1803 transsphenoidal pituitary tumor surgeries were performed in New York State. Mean patient age was 50.7 years (54 % were female). Adjusting prices for length of stay, there was substantial variation in prices. Median charges per day ranged from $8485 to $13,321 and median costs per day ranged from $2962 to $6837 between the highest and lowest regions from 2008 to 2011.
CONCLUSION: Within New York State, significant geographic variation exists in the cost for transsphenoidal pituitary surgery. The significance of and contributors to such variation is an important question for patients, providers, and policy makers. Transparency of hospital charges, costs, and average length of stay for procedures to the public provides useful information for informed decision-making, especially for a highly portable disease entity like pituitary tumors.

Entities:  

Keywords:  Charges; Costs; Geographic variation; Pituitary tumor surgery

Mesh:

Year:  2016        PMID: 27514727     DOI: 10.1007/s11102-016-0738-x

Source DB:  PubMed          Journal:  Pituitary        ISSN: 1386-341X            Impact factor:   4.107


  33 in total

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