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Good agreement between self-report and centralized hospitalizations data for arthritis-related surgeries

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posted on 2017-12-06, 00:00 authored by Lynne Parkinson, C Curryer, A Gibberd, M Cunich, J Byles
Objective: To examine the level of agreement between self-reported and hospital administration records of arthritis related surgeries for two large samples of community dwelling older women in Australia, born between 1921-1926 and 1946-1951. Study Design and Setting: Self-report survey data from the Australian Longitudinal Study on Women’s Health (ALSWH) was linked to inpatient hospital data from the New South Wales Admitted Patient Data Collection (NSW APDC). Levels of agreement were compared using Cohen’s kappa, sensitivity, specificity, and positive and negative predictive values. Reasons for false positives were examined. Results: This study found good agreement (kappa > 0.70; sensitivity and specificity > 0.80) between self-report and hospitalisations data for arthritis related surgeries. Conclusion: This study provides new evidence for good agreement between self-reported health survey data and administrative records of arthritis related joint procedures, and supports the use of self-report surveys in epidemiological studies of joint procedures where administrative data are not available or not readily accessible, or where more extensive contextual information is needed. The use of health survey data in conjunction with administrative data has an important role to play in public health planning and policy.

Funding

Category 2 - Other Public Sector Grants Category

History

Volume

66

Issue

10

Start Page

1128

End Page

1134

Number of Pages

7

ISSN

0895-4356

Location

United States

Publisher

Elsevier

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Health Collaborative Research Network; NSW Cancer Council; Not affiliated to a Research Institute; School of Human, Health and Social Sciences (2013- ); University of Newcastle; University of Sydney;

Era Eligible

  • Yes

Journal

Journal of clinical epidemiology.