Measuring care quality
CCI-6D-Consumer tool to rate quality of care
The Consumer Choice Index – 6 Dimensions (CCI-6D) tool that evaluates quality of care from a consumer perspective was developed and validated by a CDPC research team based at Flinders University who worked on the INSPIRED project.
The ratings provide an index for national benchmarking and ratings in aged care to help families make more informed choices about aged-care providers, while also providing an opportunity for providers to use the ratings to benchmark their own performance. The CCI-6D is based on a questionnaire that measures six key characteristics of good quality care from the perspective of consumers. The project team derived these characteristics from a literature review, interviews with people with dementia and their family members, consultation with researchers, industry and consumer representatives. These are the six key characteristics:
- Amount of time care staff spent with residents
- Homeliness of shared spaces
- Homeliness of resident’s own room
- Access to outside and gardens
- Access to meaningful activities
- Flexibility of care routines
- CCI-6D User Guide
- What do aged care residents care most about (summary)
- More resources and documents on the CCI-6D
AD-5D-Quality of life measure
Currently, cost-utility analysis is the most common form of cost-effectiveness analysis used in health care. It determines quality of life through measures such as mobility, self-care and pain to determine health funding. The health economics AD-5D project team is working on a preference-based measure of quality of life that can inform the evaluation of aged care services and the quality of care.
The AD-5D quality of life instrument uses an algorithm that takes into account things valued by people with dementia, such as family role, social relationships and memory. Find out more about the AD-5D on their website
Aged care cost modelling
This project, ‘The cost-effectiveness of aged care, dementia and dementia management in Australia’ explored a range of economic models, including Cost-Effectiveness Analyses (CEA) as a tool to assess the cost-effectiveness of programs and interventions in dementia and aged care.
CEA provides a measure of the cost-effectiveness of interventions and expresses it as a ratio of the cost of the intervention to a relevant measure of its effect. With the high cost of aged care this modelling provides an important measure to inform policy and decision makers.
A simulation of dementia epidemiology and resource use in Australia, Lachlan B. Standfield, Tracy Comans, Paul Scuffham
Simulation of health care and related costs in people with dementia in Australia, Lachlan B Standfield, Tracy Comans, Paul Scuffham