Effectiveness and cost effectiveness of Dose Administration Aids – phase 3 (DAA phase 3)
|Institution:||University of Queensland|
|Chief Investigator:||Professor Michael Roberts|
The research will identify solutions to the issues of DAA provision and use by developing best practice guidelines, and provide an alternative valuation of the economic costs and benefits of DAA utilising HIC and other service use data.
In summary, Phase 3 addresses the issue of identifying best practice for DAA use in the community and RCF settings, and measuring and evaluating the economic benefits of DAAs in the community setting in the following ways:
- Development of best practice guidelines for DAA provision and use based on:
- DAA literature review (Phase 1)
- Current practice and standards of DAA provision (Phase 2)
- Views of stakeholders obtained through focus groups and structured interviews
- Consensus development panel techniques
- Consultation with the Therapeutic Goods Administration (TGA)
- Evaluation of the feasibility and impact of best practice models.
- Measurement and evaluation of the economic benefits of DAAs in the community utilising:
- The decision analytic model developed in Phase 2
- Four years of community patient health care service use recorded by the Health Insurance Commission (HIC).
- Retrospective patient/carer reported use of other health service data not recorded through HIC (i.e. respites care, community nursing and residential care admittance).
The likely outcomes of this Phase of the project are:
- The development of guidelines for best practice through collaboration with stakeholders in the community and residential care facility (RCF) settings.
- The development of tools; including packing and checking templates, DAA provision contracts, and patient held medication records to resolve problems arising from DAA use, and to facilitate the implementation of best practice guidelines.
- Identification of the costs and quality implications of implementing best practice guidelines, and
- An economic evaluation of the costs and benefits of DAAs from a societal perspective utilising actual service use data (stochastic rather than deterministic analysis)