Comparing an SLK-based and a name-based data linkage strategy: an investigation into the PIAC linkage

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Release Date: 23 Feb 2011

Topic: Aged care

AIHW

Australian Institute of Health and Welfare (2011) Comparing an SLK-based and a name-based data linkage strategy: an investigation into the PIAC linkage, AIHW, Australian Government, accessed 27 March 2023.

APA

Australian Institute of Health and Welfare. (2011). Comparing an SLK-based and a name-based data linkage strategy: an investigation into the PIAC linkage. Canberra: AIHW.

MLA

Australian Institute of Health and Welfare. Comparing an SLK-based and a name-based data linkage strategy: an investigation into the PIAC linkage. AIHW, 2011.

Vancouver

Australian Institute of Health and Welfare. Comparing an SLK-based and a name-based data linkage strategy: an investigation into the PIAC linkage. Canberra: AIHW; 2011.

Harvard

Australian Institute of Health and Welfare 2011, Comparing an SLK-based and a name-based data linkage strategy: an investigation into the PIAC linkage, AIHW, Canberra.

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In 2005, the Institute was funded to create a linked aged care database to enable analysis of pathways through aged care services. The linkage strategy for the project involved using a Statistical Linkage Key (SLK) because of the lack of either a name or a common person identifier on the data sets being linked. This paper validates the results obtained using the SLK linkage strategy by comparing it directly with a name-based linkage strategy.

ISSN: 1833-1238
ISBN: 978-1-74249-124-0
Cat. no: CSI 11
Pages: 54

Preliminary material
- Title and verso page
- Contents
- Acknowledgments
- Abbreviations
- Summary
  - Methods
  - Results
Body section
1. Introduction
  - 1.1 Data
    - ACCMIS data
    - National Death Index data
  - 1.2 Report structure
2. Linkage Strategies
  - 2.1 Types of data linkage
  - 2.2 SLK-based linkage
    - The strategy
      - Step 1: Defining the structure of the match keys
      - Step 2: Incorporating cross-program use
      - Step 3: Identification of keys to use in matching
      - Step 4: Stepwise matching using selected match keys
    - Results
  - 2.3 Name-based linkage strategy
    - The strategy
      - Step 1: Run pass
      - Step 2: Output pairs of matches with weights
      - Step 3: Clerical review
      - Step 4: Enact clerical review decisions
    - Results
3. A comparison of two linkage strategies
  - 3.1 Type of link comparisons
    - Perspective
  - 3.2 Comparing links
    - NDI perspective
    - ACCMIS perspective
    - Two-way ACCMIS–NDI link comparison
  - 3.3 Analysis of SLK-based contested, missed and false links
    - Contested (mixed) links
      - ACCMIS perspective
      - NDI perspective
    - SLK missed links
      - Identifying additional keys
        
        Possible additional keys to use
        
        Keys that would incorporate too many false links
      - Data quality – missing postcode on the NDI
    - SLK false links
  - 3.4 Overall link quality
    - Direct estimates
    - Refined estimates
  - 3.5 Summary
4. Analysis comparisons
  - 4.1 Age and sex
  - 4.2 Cause of death
  - 4.3 State and territory at death
  - 4.4 Summary
End matter
- Appendix 1: Data
  - A1.1 Aged and Community Care Management Information System
    - Data structure
    - Identifying ACCMIS clients
    - Data for linkage
      - Data quality
  - A1.2 National Death Index
    - Data structure
    - Data for linkage
      - Duplicate records
      - Data quality
- References
- List of tables
- List of figures

Comparing an SLK-based and a name-based data linkage strategy: an investigation into the PIAC linkage

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