Author Affiliations: Departments of Emergency Medicine (Dr Hsia) and Internal Medicine (Ms Maselli) and School of Medicine (Mr Kothari), University of California, San Francisco, and Ecologic Institute, Berlin, Germany (Dr Srebotnjak).
Consumer-driven health care has emerged as a new paradigm in allowing patients to have a stronger say in how their health care dollars are spent.1 Patients are encouraged to consider medical care a commodity that can be bought and sold. Yet health care is a unique industry in which many traditional market principles fail. Consumers of health care do not always have good information about their condition and rely on the advice of professionals. Moreover, studies have shown that total costs and charges at different health care facilities vary substantially for what should be similar services.2
In this study, we analyzed charges for an unpredictable and emergent condition: acute appendicitis. We anticipated that charges would vary significantly in an unpredictable and nonobvious way.
We performed a retrospective analysis of patients hospitalized for appendicitis in 2009 using detailed demographic and financial data from the Patient Discharge Database of California's Office of Statewide Health Planning and Development.3
We included visits with a principal diagnosis of appendicitis as defined by International Classification of Diseases, Ninth Revision, codes that had a hospital charge reported with the visit. To isolate only uncomplicated episodes of acute appendicitis, we included only visits for patients 18 to 59 years old with hospitalization that lasted fewer than 4 days with routine discharges to home.4,5 The main outcome of interest was total charges per visit. It has been well described that the actual cost of care and charges billed to the patient are not necessarily the same.6 But for the uninsured or underinsured, these charges are what the patient ultimately sees and therefore represent the perceived cost of their care.
We chose to examine median rather than average charges to avoid the influence of outliers and present more robust estimates. For the multiple regression analyses, we fitted hierarchical mixed-effects models that regressed the logarithm of total charges on covariates and a hospital random intercept. Charges per county were also described. Using logarithmic charges allows the interpretation of effect sizes of the covariates in the model as percentage increases in median charge. Analyses were performed using SAS statistical software (version 9.2). This study was exempt from the institutional review board at the University of California, San Francisco.
We examined a total of 19 368 adult patients hospitalized with appendicitis. The median hospital charge among all patients was $33 611, with a lowest observed charge of $1529 and highest of $182 955.
The Table provides results of the hierarchical model for percentage increase in median charge for various patient and hospital factors. When analyzing patient factors, increasing ages were associated with increased median charge. There were slightly increased charges for Medicaid patients (2.3%; 95% CI, 1.3%-3.4%) and the uninsured (1.4%; 95% CI, 0.4%-2.5%). When considering hospital-level factors, the estimated median charge for appendicitis from a county hospital was 36.6% lower (95% CI, 22.5%-48.2%) than from nonprofit hospitals, and for-profit hospitals had 16.3% higher charges (95% CI, 5.4%-28.4%).
To limit the role of geographic variation, we analyzed charges within counties. While Fresno County had the smallest range of charges, the lowest and highest charges still differed by a remarkable $46 204.
Finally, when considering the explanatory power of the covariates, we found that 67.8% of the variation in charges could be predicted by patient-level and hospital-level factors. The remaining 32.2% of the variation was unexplained.
Our first result of the median charge for treating “uncomplicated” appendicitis of $33 611 would certainly startle many patients. Given estimates that 60% of bankruptcies in the United States involve catastrophic medical expenses,7 these data should alarm those making decisions about our society's ability to obtain medical care without financial catastrophe.
A patient with severe abdominal pain is in a poor position to determine whether his or her physician is ordering the appropriate blood work, imaging, or surgical procedure. Price shopping is improbable, if not impossible, because the services are complex, urgently needed, and no definitive diagnosis has yet been made.8 In our study, even if patients did have the luxury of time and clinical knowledge to “shop around,” we found that California hospitals charge patients inconsistently for what should be similar services as defined by our relatively strict definition of uncomplicated appendicitis.
In order to consider health care a good that abides by traditional market theory, both consumers and producers should have a reasonable sense of how much the good costs. Yet health care providers are often unaware of what their recommendations cost.9 Consumers (ie, patients) with adequate insurance are shielded from charges, while the underinsured or uninsured see staggeringly high numbers without understanding what the charges mean, let alone if they are appropriate. Our findings suggest that there are inherent limitations of market theory within the health care system, and much work remains to be done to allow consumers to fulfill the role of a true consumer in the health care marketplace.
Correspondence: Dr Hsia, University of California, San Francisco Emergency Medicine, 1001 Potrero Ave, 1E21, SFGH, San Francisco, CA 94110 (firstname.lastname@example.org).
Published Online: April 23, 2012. doi:10.1001/archinternmed.2012.1173
Author Contributions:Study concept and design: Hsia. Acquisition of data: Hsia, and Maselli. Analysis and interpretation of data: Hsia, Kothari, Srebotnjak, and Maselli. Drafting of the manuscript: Hsia, Kothari, and Maselli. Critical revision of the manuscript for important intellectual content: Srebotnjak. Statistical analysis: Hsia, Srebotnjak, and Maselli. Administrative, technical, and material support: Hsia and Kothari. Study supervision: Hsia.
Financial Disclosure: None reported.
Funding/Support: This work was supported by grant KL2 RR024130 and the Robert Wood Johnson Foundation Physician Faculty Scholars.
Role of the Sponsors: The sponsors had no role in the design and conduct of the study, data management, analysis, and interpretation, or manuscript preparation or approval.
Disclaimer: This article's contents are solely the responsibility of the authors and do not necessarily represent the official views of the sponsors.
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