Allied health service event—assessment measure name, text X[X(149)]
Data Element Attributes
Identifying and definitional attributes | |
Metadata item type:![]() | Data Element |
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Short name:![]() | Allied health assessment measure name |
METEOR identifier:![]() | 705924 |
Registration status:![]() | Health, Standard 12/12/2018 |
Definition:![]() | The name of an objective test or measurable activity performed on a person during an allied health service event by an allied health service provider, as represented by text. |
Data Element Concept:![]() | Allied health service event—assessment measure name |
Value Domain:![]() | Text X[X(149)] |
Value domain attributes | ||
Representational attributes | ||
Representation class:![]() | Text | |
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Data type:![]() | String | |
Format:![]() | X[X(149)] | |
Maximum character length:![]() | 150 |
Data element attributes | |
Collection and usage attributes | |
Guide for use:![]() | Assessment measures are clinical outcome measures appropriate for use when objectively measuring a person’s health or health related circumstance. The measure may or may not be standardised; and may be profession specific, or shared amongst a number of professions. This data element is used in the Allied health assessment cluster. In the absence of nationally consistent code sets or values for recording assessment measure name ‘free text’ is to be used. This implies that each jurisdiction will implement a locally agreed code set for collection of the data element. This may be borrowed or adapted from another jurisdiction. Assessment measures may be recorded for all allied health service events. A combination of assessment types, measures and results fields represent a discrete assessment. Each allied health service event may have one or more assessment types, measures and results recorded, up to a maximum of 99. Assessment measure names should articulate tests or activities that objectively measure or evaluate the health of the person receiving the allied health service event and contribute to clinical reasoning to identify allied health indicators for intervention or clinical findings. Examples may include, but are not limited to:
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Collection methods:![]() | Each jurisdiction will implement a locally agreed code set for collection of the data element. This may be borrowed or adapted from another jurisdiction. Assessment measures may be profession specific or shared amongst professions. An allied health service provider may use a profession specific code for this data element. |
Comments:![]() | Subsequent analysis of locally agreed values will contribute to developing national standardised values in the future. |
Source and reference attributes | |
Submitting organisation:![]() | Allied Health Professions Australia |
Relational attributes | |
Implementation in Data Set Specifications:![]() | Allied health assessment cluster Health, Standard 12/12/2018 |