According to the AIHW’s METeOR specification of the the intended objectives of the indicators are to: Indicate the health issues pertaining to the regular client population of Indigenous-specific primary health care services (especially those of maternal health, early childhood and the detection and prevention of chronic diseases) Outline the extent to which government-funded primary health care services collect, record and review pertinent data on these issues, and Reveal changes in health risks or outcomes that may be driven by the quality of care that government-funded services provide to their clients. Of those objectives, items 1 and 2 can be reviewed even at this early stage in the life of the nKPI collection, while item 3 will only emerge as further data builds up over time. Therefore, this review will consider objectives 1 and 2 only. Dimensions of data quality The DQF describes seven dimensions of data quality. These dimensions will be more or less appropriate or important for any particular data set, depending on its objectives, characteristics and circumstances of collection, and the scope and purpose of the data quality review process. Figure 2: Dimensions of data quality The seven dimensions are defined as follows: Dimension Description Relevance to Relevance to current nKPIs nKPI data quality review Institutional This dimension High High Environment refers to the Aboriginal Many health service institutional and primary health environmental factors organisational care services have a bearing on the factors which vary greatly in collection of data for may have a size, staffing the nKPIs, including: significant levels, degree Capability and influence on the of capacity of staff in effectiveness remoteness, data entry, and credibility of mix of health cleansing and the agency services management producing the provided, statistics. The clinical approaches to Consideration of information data collection
According to the AIHW’s METeOR specification of the the intended objectives of the indicators are to: Indicate the health issues pertaining to the regular client population of Indigenous-specific primary health care services (especially those of maternal health, early childhood and the detection and prevention of chronic diseases) Outline the extent to which government-funded primary health care services collect, record and review pertinent data on these issues, and Reveal changes in health risks or outcomes that may be driven by the quality of care that government-funded services provide to their clients. Of those objectives, items 1 and 2 can be reviewed even at this early stage in the life of the nKPI collection, while item 3 will only emerge as further data builds up over time. Therefore, this review will consider objectives 1 and 2 only. Dimensions of data quality The DQF describes seven dimensions of data quality. These dimensions will be more or less appropriate or important for any particular data set, depending on its objectives, characteristics and circumstances of collection, and the scope and purpose of the data quality review process. Figure 2: Dimensions of data quality The seven dimensions are defined as follows: Dimension Description Relevance to nKPIs Relevance to current nKPI data quality review Institutional Environment This dimension refers to the institutional and organisational factors which may have a significant influence on the effectiveness and credibility of the agency producing the statistics. Consideration of High Aboriginal primary health care services vary greatly in size, staffing levels, degree of remoteness, mix of health services provided, approaches to data collection High Many health service environmental factors have a bearing on the collection of data for the nKPIs, including: Capability and capacity of staff in data entry, cleansing and management The clinical information
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