National Non-Admitted Patients Collection
Description:
Transaction records containing details of the non admitted patient event including date, facility and type of service.. Data Provider: Ministry of Health; Data Source: Planning & Funding Analyst Team
Additional information:
Have_(encrypted)_NHI | Yes |
Personally identifiable (e.g. linked to NHI numbers) and longitudinal or aggregated (e.g. for planning, clinical research etc.)? | NHI |
Volume of data (e.g. how many records) Since when? | data from 1 July 2006 |
Purpose and governance including ethics committee/patient consent mechanisms. Q: How do you get around ethics/privacy issues with your data sources? Esp. DHBs? | NNPAC is accessed by authorised National Collections and Reporting staff for maintenance, data quality, audit and analytical purposes. Authorised members of the Ministry of Health have access to the data for analytical purposes, via the Business Objects reporting tool and the secure Health Information Network (HIN). |
Scope | National |
Does the data contain diagnoses and clinical outcomes? Does the data contain procedures, device information and medication for therapy? Does this data set have cost / price data? | has speciality info |
Presence of Data dictionary? Column headings in Excel or any kind of data model if residing in a relational database (e.g. Access, SQL Server, Oracle etc.) | NNAPC Data Mart data dictionary: http://www.health.govt.nz/publication/national-non-admitted-patient-collection-data-mart-data-dictionary |
How often does this data set get updated? Daily? Weekly? Monthly? Quarterly? Yearly? | Electronic files are received and processed weekly by National Collections and Reporting. |
Brief info about the systems and processes used to collect/manage data. Q: Where the data is collected, in what form, and accessibility? | Data is provided by district health boards in an agreed electronic file format and must be sent at least once per month. |
Data format, e.g., data structure, data types, and storage form (relational database, Excel, csv, etc.). | csv extract is available |
How well the data is structured, e.g. free text VS coded text VS pick-list (drop-down list) | coded |
How quickly can the data be made available from time of request and how old is the data once it is made available | Customised datasets or summary reports are available on request, either electronically or on paper. Staff from the Analytical Services team can help to define the specifications for a request and are familiar with the strengths and weaknesses of the data. |