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ARTICLE |

Measuring Quality of Hospital Care FREE

Jeffrey H. Silber, MD, PhD; Paul R. Rosenbaum
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Edited by Drummond Rennie, MD, Deputy Editor (West), and Margaret A. Winker, MD, Senior Editor.


JAMA. 1995;273(1):21-21. doi:10.1001/jama.1995.03520250035014
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To the Editor.  —In discussing estimates of quality of hospital care, Dr Miller and colleagues1 wrote, "Standardized hospital mortality ratios based on analyses that do not account for variation in admission practice among hospitals are biased.1(p1493)... This problem is related to unmeasured severity, but it is more than that.1(p1495)... It is important to understand that the bias introduced by differences in admission practices will affect any quality measure that is estimated only on hospitalized samples."1(p1497)Miller et al believe comparing care inside hospitals requires collecting data about the health of populations that are sending patients to these hospitals. We believe this difficult task is unnecessary for the specific goal of comparing the care provided inside hospitals. Resources are better spent on collecting complete, standardized, high-quality data that describe the initial health and subsequent outcomes of patients treated inside hospitals.Miller et al are correct on several

REFERENCES

Miller MG, Miller LS, Fireman B, Black SB.  Variation in practice for discretionary admissions: impact on estimates of quality of hospital care. JAMA . 1994;;271: 1493-1498.
Green J, Wintfeld N, Sharkey P, Passman LJ.  The importance of severity of illness in assessing hospital mortality. JAMA . 1990;;263:241-246.
Rosenbaum PR, Rubin DB.  The central role of the propensity score in observational studies for causal effects. Biometrika . 1983;;70:41-55.
Little RA.  A note about models for selectivity bias. Econometrika . 1985;;53:1469-1474.
Hartigan J, Tukey JW.  Discussion of alternative methods for evaluating the impact of intervention.  In: Waineu H, ed. Drawing Inferences From Self-selected Samples . New York, NY: Springer-Verlag; 1983;:57-62, 108-110.

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Miller MG, Miller LS, Fireman B, Black SB.  Variation in practice for discretionary admissions: impact on estimates of quality of hospital care. JAMA . 1994;;271: 1493-1498.
Green J, Wintfeld N, Sharkey P, Passman LJ.  The importance of severity of illness in assessing hospital mortality. JAMA . 1990;;263:241-246.
Rosenbaum PR, Rubin DB.  The central role of the propensity score in observational studies for causal effects. Biometrika . 1983;;70:41-55.
Little RA.  A note about models for selectivity bias. Econometrika . 1985;;53:1469-1474.
Hartigan J, Tukey JW.  Discussion of alternative methods for evaluating the impact of intervention.  In: Waineu H, ed. Drawing Inferences From Self-selected Samples . New York, NY: Springer-Verlag; 1983;:57-62, 108-110.
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To understand the clinical management of acute heart failure syndromes.
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