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Second, we analysed the influence of six practice characteristics on the variations in morbidity estimates for all diseases in separate models.
Nevertheless, morbidity estimates for specific groups of migrants could be biased in the case of an association between the level of social integration and morbidity.
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Morbidity estimates from different GPRNs reveal considerable, unexplained differences.
Other research also showed that inter-doctor variation in morbidity estimates remains high after adjusting for population and practice characteristics [ 25].
Except for ED visits, the morbidity estimates were limited to age-specific populations.
Adjusting for these practice characteristics hardly reduced the variation of morbidity estimates between networks or practices.
Morbidity estimates were based on outpatient visits.
Hardly any practice characteristic showed an effect on morbidity estimates.
We computed the prevalence in 2005 of morbidities estimated from ambulatory drugs dispensation for all insured.
Productivity losses due to morbidity were estimated for both patients and caregivers using data from the prospective study by summing lost time spent in transit to hospitals (for patients and caregivers), seeking care, convalescing, and admitted to hospital (for patients and caregivers), and multiplying by wages.
Different measures identified different co-morbidities, provided different estimates for the same co-morbidity, and had different levels of agreement for common co-morbidities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com