Kathy Eagar

Primary care patients in the emergency department: Who are they? A review of the definition of the ‘primary care patient’ in the emergency department

Objective:  To review the definition of ‘primary care’ and ‘inappropriate’ patients in ED and develop a generally acceptable working definition of a ‘primary care’ presentation in ED.

The performance of instrumental activities of daily living scale in screening for cognitive impairment in elderly community residents

A retrospective analysis of Short Orientation-Memory-Concentration (OMC) and Lawtons IADL data was performed to assess the association between instrumental activities of daily living (IADL) and a rating of cognitive impairment, and to test whether IADL measures can be used to screen for dementia. The study analyzed data from 1,095 elderly community residents who were regarded as potentially benefiting from care coordination. Three IADL items (telephone use, self-medication, and handling finances) were statistically associated with cognitive impairment (OMC cutoff 10/11), independent of age and sex. An IADL indicator based on these items had only modest power in predicting cognitive impairment, its highest sensitivity being 0.71. Specificity was 0.75 at this point, but increased to 0.97 if higher indicator scores were used to define a positive result. In conclusion, the usefulness of an IADL indicator seems limited to ruling out further cognitive assessment rather than positively identify those with dementia.

An Australian casemix classification for palliative care: technical development and results

Objectives: To develop a palliative care casemix classification for use in all settings including hospital, hospice and home-based care. Sample: 3866 palliative care patients who, in a three-month period, had 4596 episodes of care provided by 58 palliative care services in Australia and New Zealand. Method: A detailed clinical and service utilization profile was collected on each patient with staff time and other resources measured on a daily basis. Each day of care was costed using actual cost data from each study site. Regression tree analysis was used to group episodes of care with similar costs and clinical characteristics. Results: In the resulting classification, the Australian National Sub-acute and Non-acute Patient (AN-SNAP) Classification Version 1, the branch for classifying inpatient palliative care episodes (including hospice care) has 11 classes and explains 20.98% of the variance in inpatient palliative care phase costs using trimmed data. There are 22 classes in the ambulatory palliative care branch that explains 17.14% variation in ambulatory phase cost using trimmed data. Discussion: The term ‘subacute’ is used in Australia to describe health care in which the goal — a change in functional status or improvement in quality of life — is a better predictor of the need for, and the cost of, care than the patients underlying diagnosis. The results suggest that phase of care (stage of illness) is the best predictor of the cost of Australian palliative care. Other predictors of cost are functional status and age. In the ambulatory setting, symptom severity and the model of palliative care are also predictive of cost. These variables are used in the AN-SNAP Version 1 classification to create 33 palliative care classes. The classification has clinical meaning but the overall statistical performance is only moderate. The structure of the classification allows for it to be improved over time as models of palliative care service delivery develop.

An Australian casemix classification for palliative care: lessons and policy implications of a national study.

Objectives: To provide a nontechnical discussion of the development of a palliative care casemix classification and some policy implications of its implementation. Sample: 3866 palliative care patients who, in a three month period, had 4596 episodes of care provided by 58 palliative care services in Australia and New Zealand. Method: A detailed clinical and service utilization profile was collected on each patient with staff time and other resources measured on a daily basis. A statistical summary of the clinical variables was compiled as the first stage of the analysis. Results: Palliative care phase was found to be a good predictor of resource use, with patients fairly evenly distributed across the five categories. Clients treated in an inpatient setting had poorer function and higher symptom severity scores than those treated in an ambulatory setting, a result that is not surprising in this Australian setting. Discussion: Implementation of the resultant AN-SNAP classification has been proceeding since 1998 in some Australian jurisdictions. The development and implementation of a classification such as AN-SNAP provides the possibility of having a consistent approach to collecting palliative care data in Australia as well as a growing body of experience on how to progressively improve the classification over time.

Health services research and development in practice: an Australian experience

While there is a growing literature on how health services research can inform health policy decisions, the practical challenge is for health services researchers to develop an effective interface with health policy-making processes and to produce outputs that lead to outcomes. The experience of the Centre for Health Service Development at the University of Wollongong, Australia, is used to illustrate the issues so commonly described in the literature and to reflect on our experience of trying to remain viable while producing relevant and valid research. A case study in a specific policy area - namely, the development of case-mix classifications and information systems to inform policy and funding in the subacute and non-acute hospital and community care sectors - is used as a practical example of the research-policy interface.

The Australian National Sub-acute and Non-acute Patient Casemix Classification (AN-SNAP): its application and value in a stroke rehabilitation programme

Objective: To investigate whether the Australian National Sub-acute and Non-acute Patient Casemix Classification (SNAP) and Functional Independence Measure and Functional Related Group (Version 2) (FIM-FRG2) casemix systems can be used to predict functional outcome, and reduce the variance of length of stay (LOS) of patients undergoing rehabilitation after strokes. Design and setting: The study comprised a retrospective analysis of the records of patients admitted to the Cedar Court Healthsouth Rehabilitation Hospital for rehabilitation after stroke. Subjects: The sample included 547 patients (83.3% of those admitted with stroke during this period). Patient data were stratified for analysis into the five SNAP or nine FIM-FRG2 groups, on the basis of the admission FIM scores and age. Main outcomes: The AN-SNAP classification accounted for a 30.7% reduction of the variance of LOS, and 44.2% of motor FIM, and the FIM-FRG2 accounts for 33.5% and 56.4% reduction respectively. Comparison of the Cedar Court with the national AN-SNAP data showed differences in the LOS and functional outcomes of older, severely disabled patients. Intensive rehabilitation in selected patients of this type appears to have positive effects, albeit with a slightly longer period of inpatient rehabilitation. Conclusions: Casemix classifications can be powerful management tools. Although FIM-FRG2 accounts for more reduction in variance than SNAP, division into nine groups meant that some contained few subjects. This paper supports the introduction of AN-SNAP as the standard casemix tool for rehabilitation in Australia, which will hopefully lead to rational, adequate funding of the rehabilitation phase of care.

Adult mental health needs and expenditure in Australia

Abstract.Background:Relatively little international work has examined whether mental health resource allocation matches need. This study aimed to determine whether adult mental health resources in Australia are being distributed equitably.Method:Individual measures of need were extrapolated to Australian Areas, and Area-based proxies of need were considered. Particular attention was paid to the prevalence of mental health problems, since this is arguably the most objective measure of need. The extent to which these measures predicted public sector, private sector and total adult mental health expenditure at an Area level was examined.Results:In the public sector, 41.6% of expenditure variation was explained by the prevalence of affective disorders, personality disorders, cognitive impairment and psychosis, as well as the Area’s level of economic resources and State/Territory effects. In the private sector, 72.4% of expenditure variation was explained by service use and State/Territory effects (with an alternative model incorporating service use and State/Territory supply of private psychiatrists explaining 69.4% of expenditure variation). A relatively high proportion (58.7%) of total expenditure variation could be explained by service utilisation and State/Territory effects.Conclusions:For services to be delivered equitably, the majority of variation in expenditure would have to be accounted for by appropriate measures of need. The best model for public sector expenditure included an appropriate measure of need but had relatively poor explanatory power. The models for private sector and total expenditure had greater explanatory power, but relied on less appropriate measures of need. It is concluded that mental health services in Australia are not yet being delivered equitably.

Identification of the trajectory of functional decline for advance care planning in a nursing home population

To identify diagnostic groups and the form of the trajectory of functional decline that has the potential to enhance advance care planning (ACP) in a nursing home (NH) population.