Work

Summarizing benchmarks in the national database of nursing quality indicators using bootstrap confidence intervals

Year: 2007

Type: article

Abstract: When summarizing the benchmarks for nursing quality indicators with confidence intervals around the means, bounds too high or too low are sometimes found due to small sample size or violation of the normality assumption. Transforming the data or truncating the confidence intervals at realistic values can solve the problem of out of range values. However, truncation does not improve upon the non-normality of the data, and transformations are not always successful in normalizing the data. The percentile bootstrap has the advantage of providing realistic bounds while not relying upon the assumption of normality and may provide a convenient way of obtaining appropriate confidence intervals around the mean for nursing quality indicators.

Source: Research in Nursing & Health

DOI: 10.1002/nur.20166

Authors: Byron Gajewski, Matthew Hall, Nancy Dunton

Institutions: University of Kansas Medical Center, Child Health Corporation of America

Language: English

Topic: Healthcare Quality and Management

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W2083211076

FWCI: 2.254

Cites: 19

Cited by: 7

Related to: 10