Related Experiment Video
Updated: Feb 9, 2026

Standardized Method for Measuring Collection Efficiency from Wipe-sampling of Trace Explosives
Published on: April 10, 2017
Establishing gold standards for System-Level Measures: a modified Delphi consensus process
Fiona Doolan-Noble1, Stuart Barson2, M Lyndon3
1Department of General Practice and Rural Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Objective:
To establish aspirational 'gold standards' for a suite of System-Level Measures (SLMs) being used by Counties Manukau Health (CM Health), a New Zealand (NZ) District Health Board.
Design:
This study employed a multi-stage, multi-method modified Delphi consensus process.
Setting:
The Delphi consensus process involved virtual (email) communication between participants (Round 1) and a structured face-to-face meeting (Round 2) held in Auckland, NZ.
Participants:
Participants comprised of health professionals, managers, academics and quality improvement experts with an interest in the use of SLMs.
Interventions:
Participants in the first round received a letter requesting their participation in an anonymous Delphi. The second round involved national and international health system experts taking part in a structured, facilitated face-to-face meeting. Participants reviewed 15 SLMs in total. The SLMs all related to the three domains of the Triple Aim: Population Health, e.g. life expectancy at birth; Patient Experience of Care, e.g. rate of adverse events; and Cost and Productivity, e.g. healthcare expenditure per capita.
Main Outcome Measures:
For a proposed gold standard to be agreed and established for each SLM.
Results:
Twelve participants took part in Round 1, with 19 participating in Round 2. The process established agreement on a gold standard for each of the 15 reviewed SLMs.
Conclusion:
We demonstrated that the Delphi consensus process can be used to establish gold standards for a suite of SLMs used by a NZ Health Board (CM Health).
Related Concept Videos
Measurement: Standard Units
Ratio Level of Measurement
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
Units and Standards of Measurement
Measurements of physical quantities are...
Ordinal Level of Measurement
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
Interval Level of Measurement
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
Nominal Level of Measurement
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...

