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Multiple regression analyses were conducted to identify factors associated with agreement measures.
The issues associated with agreement making and implementation that arise in this context are addressed here as seen from Aboriginal and practitioner viewpoints.
To estimate the agreement of confocal scanning laser tomograph (CSLT), topographic change analysis (TCA) with assessment of stereophotographs, and standard automated perimetry (SAP) for detecting glaucomatous progression and to identify factors associated with agreement between methods.
No demographic or socioeconomic characteristics were associated with agreement.
Most markers of disadvantage that we examined were not associated with agreement.
The variable most strongly associated with agreement was number of GP visits; those who visited a GP two or more times in the first month post-release (according to administrative records) were more likely to self-report having visited a GP at least once in this time period.
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The crude association between demographic, socioeconomic, geographic, and other factors potentially associated with physician agreement was tested using a univariate logistic regression model.
For some GPs, agreement might have been better because they had patients with the characteristics associated with better agreement and not because of their own characteristics.
Factors associated with inconsistent agreement between prospective and retrospective measurements of adherence also were explored.
Regression coefficients associated with the agreement terms are calculated under the best-fitting model.
Similarly, physician reports of having discussed more content areas of diabetes self-care were associated with greater agreement on treatment strategies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com