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Long term outcomes were categorised as those which had an effect more widely beyond the level of the individual GP, service or patient, and impact factors were those that would determine the effectiveness of referral management across whole health systems.
Level of care was categorised as rehabilitation, long term somatic or dementia special care units when at least 70% of the beds fell into one of the categories.
Delay was categorised as either short or long delay, with long delay defined as the 4th quartile of all patients' delay and the remaining delay defined as short.
Patient- and system-related delay were categorised as either short or long delay, with long delay defined as the 4th quartile of all patients' delay (Hansen et al, submitted 2011).
Delay was categorised as short or long based on quartiles.
The DI from the first presentation in general practice until diagnosis was categorised as short or long based on quartiles.
Telomere length was categorised to short and long based on the median value of age-adjusted RTL.
The sick leave data were categorised into patterns with short, long or a combination of short and long spells.
Three cumulative dose categories were considered: 1-90 PDDs—that is, cumulative exposure ≤3 months 91-180 PDDs—3-6 months >180 PDDs >6 months (long term users) Drug elimination half life: people were categorised as users of short (<20 hours) or long acting benzodiazepines.
Survival phases were categorised as short-term (<5), long-term (5 9.9) and very long-term survivors (≥10 years postdiagnosis).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com