Who should be admitted to hospital? Evaluation of a screening tool

Hong Kong Med J. 2008 Aug;14(4):273-7.

Abstract

Objective: To develop a tool for evaluating the appropriateness of acute hospital admissions in Hong Kong and test its reliability.

Design: The tool was based on the Appropriateness Evaluation Protocol and consensus of local Emergency Medicine specialists. Reliability was tested through retrospective chart review.

Setting: Tertiary teaching hospital, Hong Kong.

Patients: Seventy-five randomly selected patients, who were admitted to the specialty of Internal Medicine or General Surgery via the Accident and Emergency Department in 2006, were reviewed.

Main outcome measures: The intra-rater and inter-rater agreement on appropriateness of an admission.

Results: A 19-criterion protocol for assessing the appropriateness of acute hospitalisations was constructed. The kappa coefficient for intra-rater agreement was 0.73 (95% confidence interval, 0.58-0.88) and that for inter-rater agreement was 0.67 (95% confidence interval, 0.51-0.83).

Conclusion: The new protocol was shown to have substantial reliability for evaluating whether an acute hospital admission was appropriate. The findings in this study provide a basis for testing the validity of the new protocol as well as determining the extent of inappropriate acute hospital admissions in Hong Kong.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Confidence Intervals
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Hong Kong
  • Hospitalization / statistics & numerical data*
  • Hospitals, Teaching
  • Humans
  • Length of Stay / statistics & numerical data*
  • Male
  • Mass Screening / standards
  • Mass Screening / trends
  • Medical Records
  • Middle Aged
  • Observer Variation
  • Patient Admission / statistics & numerical data*
  • Patient Selection
  • Reproducibility of Results
  • Retrospective Studies
  • Risk Factors
  • Sex Factors
  • Total Quality Management
  • Young Adult