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Our study showed that a high total primary healthcare utilisation profile was not generally associated with a high diabetes-related primary healthcare utilisation profile.
Low healthcare utilisation for total primary healthcare (profile 1) was associated with a low diabetes-related healthcare utilisation (profile 2), whereas a high total healthcare utilisation (profile 3) did not necessarily imply a high healthcare utilisation profile for diabetes-related primary healthcare.
Both age and the existence of related and unrelated comorbidity were determinants for having both a higher total and diabetes-related primary healthcare utilisation profile.
In fact, looking at the lower income and educational groups separately, the utilisation profile may resemble middle- and low-income countries [ 10, 11], indicating barriers due to absolute rather than relative deficiencies.
In addition, age distribution, co-morbidities and the antibiotic utilisation profile of the outpatients were very similar as were the median duration of hospital stay and in-hospital mortality.
Diabetes patients with a high total healthcare utilisation (profile 'high utilisation'), were not always patients with a high utilisation pattern for diabetes ('high utilisation, GP and nurse'), whereas having a low total healthcare utilisation profiles was associated with a low contact rate for diabetes.
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Arabinose and xylose are two sugars that have been noted as displaying strain-dependent utilisation profiles in O. oeni[ 33].
Subsequently, a predictive model was made using multilevel multinomial regression analyses (patients nested in practices) for the diabetes-related healthcare utilisation profiles.
This then makes it impossible to make inferences about the effect of the different primary healthcare utilisation profiles on patient outcomes.
Of our three diabetes-related primary healthcare utilisation profiles, only the patients in profile 'low utilisation, GP only' had on average less than the recommended four contacts for diabetes-related issues.
Identification of bacteria recovered from inside the larvae was carried out using a Biolog Microbial Identification System (Biolog, Inc, Hayward, USA), which differentiates bacteria according to their substrate utilisation profiles [ 14].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com