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At least 19 recordsLinked to original sources

The effect of timing when seeking permission to access personal health services utilization records.

PURPOSE: To determine if the timing for requesting signed permission to access personal health services utilization records affects authorization or survey response rates. METHODS: A screening question about in-principle willingness to permit access to personal health services utilization records was included in a mail-based survey of two Australian female samples (n = 292). Half of the surveys for each sample also included a separate form to be signed to approve access. For the other half the form was not included, but an authorization form was sent subsequently. RESULTS: Around 30% of participants signed the authorization form and there was no significant difference between the randomized groups [ relative risk (RR) = 0.95, 95% confidence interval (CI) = 0.72-1.25). However, the response rate to the postal survey was significantly higher for the group who received the form after returning the questionnaire (60% compared to 46%; RR = 1.31, 95% CI = 1.06-1.62). CONCLUSIONS: A two-staged approach, with a time lag between seeking in principle permission to access personal health services utilization records and requesting signed authorization, does not affect authorization rates. In addition, it results in a significantly higher survey response rate than if an authorization form is included with the survey.

Adult↗

Comparison of provision and need for publicly-funded personal health services.

AIM: To determine whether health services have been purchased equitably according to population needs at the territorial local authority (TLA) level. METHODS: The project involved the mapping of different categories of personal health service expenditure onto TLA areas. The measure used to compare provision and need was the ratio of observed to expected expenditure. Need beyond weighted populations by age, sex, and ethnicity or community services card status was measured using standardised mortality ratios. RESULTS: The analysis did not suggest that the inverse care law was operating at the level of TLAs. There was no systematic bias against equity. However there is a good deal of scatter in the plots, some of which will be accounted for by data quality problems, and some of which is possibly due to inequitable purchasing. CONCLUSIONS: The inverse care law does not appear to be operating at the level of TLA. The methods piloted in this study represent a useful way of analysing and presenting information on resource allocation. Deficiencies in data quality limit the strength of conclusions which can be drawn from this project. More specific observations could be made if the methods used here were applied to smaller areas, and data quality issues were addressed.

Financing, Government↗