2014
DOI: 10.1007/s11999-014-3836-y
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The National Hospital Discharge Survey and Nationwide Inpatient Sample: The Databases Used Affect Results in THA Research

Abstract: Background The National Hospital Discharge Survey (NHDS) and the Nationwide Inpatient Sample (NIS) collect sample data and publish annual estimates of inpatient care in the United States, and both are commonly used in orthopaedic research. However, there are important differences between the databases, and because of these differences, asking these two databases the same question may result in different answers. The degree to which this is true for arthroplasty-related research has, to our knowledge, not been … Show more

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Cited by 48 publications
(25 citation statements)
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References 14 publications
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“…Because the NIS contains no personal identifiers, validation of diagnoses and procedures through cross-referencing medical records was not possible. Since the use of different large datasets can generate disparate results [5,8,9], it would be interesting to compare our findings in the NIS with those of other administrative databases (eg, the National Hospital Discharge Survey) and clinical registries (eg, the National Surgical Quality Improvement Program [NSQIP]). However, the NSQIP currently does not capture Table 2.…”
Section: Discussionmentioning
confidence: 99%
“…Because the NIS contains no personal identifiers, validation of diagnoses and procedures through cross-referencing medical records was not possible. Since the use of different large datasets can generate disparate results [5,8,9], it would be interesting to compare our findings in the NIS with those of other administrative databases (eg, the National Hospital Discharge Survey) and clinical registries (eg, the National Surgical Quality Improvement Program [NSQIP]). However, the NSQIP currently does not capture Table 2.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, only inpatient complications may be assessed for a given procedure, which likely underestimates the true complication rate. A second major limitation is the database only contains pre-discharge information, making it difficult to distinguish comorbidities from complications (18). Lastly, it does not contain operative variables such as anesthesia type, length of surgery, or blood loss which can be important variables to consider in surgical research.…”
Section: National Inpatient Sample (Nis)mentioning
confidence: 99%
“…NIS is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP) [11]. It is the largest publicly available all-payer inpatient health care database in the United States, yielding national estimates of hospital inpatient stays.…”
Section: Data Sourcesmentioning
confidence: 99%
“…It is the largest publicly available all-payer inpatient health care database in the United States, yielding national estimates of hospital inpatient stays. Unweighted, it contains data from more than 7 million non-federal hospitals stay each year and when weighted it estimates more than 35 million hospitalizations nationally [11]. Given the de-identi ied nature of the NIS database, the Ohio State Data and Specimen Policy and Human Subjects Research policy did not require Institutional Review Board review for this study.…”
Section: Data Sourcesmentioning
confidence: 99%
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