A Survey of Patients or Staff
In most cases a patient or staff survey would come under the LNR umbrella. The LNR committee meets fortnightly and the meeting and submission closing dates can be found on our website here.
What information is required by the LNR Committee?
Please provide the following information within the LNR Application:
- Background and rationale for the survey
- Estimated sample size and rationale (e.g. it may be a convenience sample)
- How will potential participants be identified
- How and where will potential participants be approached and by whom
- List any additional data to be collected from other sources such as contact lists, medical records, eMR, specific databases
- Data analysis plan
- Outline how the confidentiality of identifiable data will be protected e.g. use of individual codes, removal of identifiers from data set once complete etc*
Including the following supporting documentation:
- A letter of invitation explaining the survey to potential participants (a template can be found on our website). FYI - written consent is not required if participants receive the letter of invitation, as consent is implied thorough completion of the survey.
- A copy of the survey tool including details of any identifying information that you will collect e.g. name, email address etc.
* Please avoid using the term ‘de-identified data’, as its meaning is unclear. While it is sometimes used to refer to a record that cannot be linked to an individual (‘non-identifiable’), it is also used to refer to a record in which identifying information has been removed but the means still exist to re-identify the individual (re-identifiable). When the term ‘de-identified data’ is used, researchers and those reviewing research need to establish precisely which of these possible meanings is intended, therefore please describe the precise method of how the data will be managed
Section 3.1 is ‘yes’ for each study site
Section 7.1 is ‘yes’ to ‘state/territory depts/agencies’ etc - if you are collecting any personal information from public hospital records.