Abstract
purposes, including quality, funding, communication and continuity of care. Agreed minimum data sets enable
accurate communication across multiple care settings. However, in aged care multiple and poorly integrated data collection
frameworks are commonly used for client assessment, government reporting and funding purposes. Objective: To
determine key information needs in aged care settings to improve information quality, information transfer, safety, quality
and continuity of care to meet the complex needs of aged care clients. Method: Modified Delphi methods involving five
stages were employed by one aged care provider in Victoria, Australia, to establish stakeholder consensus for a derived
minimum data set and address barriers to data quality. Results: Eleven different aged care programs were identified; with
five related data dictionaries, three minimum data sets, five program standards or quality frameworks. The remaining data
collection frameworks related to diseases classification, funding, service activity reporting, and statistical standards and
classifications. A total of 170 different data items collected across seven internal information systems were consolidated to a
derived set of 60 core data items and aligned with nationally consistent data collection frameworks. Barriers to data quality
related to inconsistencies in data items, staff knowledge, workflow, system access and configuration. Conclusion: The
development an internal aged care minimum data set highlighted the critical role of primary data quality in the upstream
and downstream use of client information; and presents a platform to build national consistency across the sector.
| Original language | English |
|---|---|
| Pages (from-to) | 27-35 |
| Number of pages | 9 |
| Journal | Health Information Management Journal |
| Volume | 45 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2016 |
Keywords
- Health Information Systems
- Data Collection
- Datasets as Topic
- Aged
- Australia
Cite this
}
Information management for aged care provision in Australia : Development of an aged care minimum dataset and strategies to improve quality and continuity of care. / Davis, Jenny; Morgans, Amee; Burgess, Stephen.
In: Health Information Management Journal, Vol. 45, No. 1, 2016, p. 27-35.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Information management for aged care provision in Australia
T2 - Development of an aged care minimum dataset and strategies to improve quality and continuity of care
AU - Davis, Jenny
AU - Morgans, Amee
AU - Burgess, Stephen
PY - 2016
Y1 - 2016
N2 - Background: Efficient information systems support the provision of multi-disciplinary aged care and a variety of organisationalpurposes, including quality, funding, communication and continuity of care. Agreed minimum data sets enableaccurate communication across multiple care settings. However, in aged care multiple and poorly integrated data collectionframeworks are commonly used for client assessment, government reporting and funding purposes. Objective: Todetermine key information needs in aged care settings to improve information quality, information transfer, safety, qualityand continuity of care to meet the complex needs of aged care clients. Method: Modified Delphi methods involving fivestages were employed by one aged care provider in Victoria, Australia, to establish stakeholder consensus for a derivedminimum data set and address barriers to data quality. Results: Eleven different aged care programs were identified; withfive related data dictionaries, three minimum data sets, five program standards or quality frameworks. The remaining datacollection frameworks related to diseases classification, funding, service activity reporting, and statistical standards andclassifications. A total of 170 different data items collected across seven internal information systems were consolidated to aderived set of 60 core data items and aligned with nationally consistent data collection frameworks. Barriers to data qualityrelated to inconsistencies in data items, staff knowledge, workflow, system access and configuration. Conclusion: Thedevelopment an internal aged care minimum data set highlighted the critical role of primary data quality in the upstreamand downstream use of client information; and presents a platform to build national consistency across the sector.
AB - Background: Efficient information systems support the provision of multi-disciplinary aged care and a variety of organisationalpurposes, including quality, funding, communication and continuity of care. Agreed minimum data sets enableaccurate communication across multiple care settings. However, in aged care multiple and poorly integrated data collectionframeworks are commonly used for client assessment, government reporting and funding purposes. Objective: Todetermine key information needs in aged care settings to improve information quality, information transfer, safety, qualityand continuity of care to meet the complex needs of aged care clients. Method: Modified Delphi methods involving fivestages were employed by one aged care provider in Victoria, Australia, to establish stakeholder consensus for a derivedminimum data set and address barriers to data quality. Results: Eleven different aged care programs were identified; withfive related data dictionaries, three minimum data sets, five program standards or quality frameworks. The remaining datacollection frameworks related to diseases classification, funding, service activity reporting, and statistical standards andclassifications. A total of 170 different data items collected across seven internal information systems were consolidated to aderived set of 60 core data items and aligned with nationally consistent data collection frameworks. Barriers to data qualityrelated to inconsistencies in data items, staff knowledge, workflow, system access and configuration. Conclusion: Thedevelopment an internal aged care minimum data set highlighted the critical role of primary data quality in the upstreamand downstream use of client information; and presents a platform to build national consistency across the sector.
KW - Health Information Systems
KW - Data Collection
KW - Datasets as Topic
KW - Aged
KW - Australia
UR - http://himaa2.org.au/HIMJ/?q=onlinefirst
U2 - 10.1177/1833358316639453
DO - 10.1177/1833358316639453
M3 - Article
VL - 45
SP - 27
EP - 35
JO - Health Information Management Journal
JF - Health Information Management Journal
SN - 1833-3583
IS - 1
ER -