Demographic data such as age, sex, qualification, specialty, post-qualification experience in years, level of practice and analgesia policy of the respondents' institutions were requested.
The relationship between total knowledge score achieved on the questionnaire and time since qualification; specialty experience in geriatric medicine, psychiatry and/or neurology and self-reported experience with the Confusion Assessment Method (independent variables) were modelled using linear regression.
In univariate models, the doctor's sex, ethnic group, region of primary medical qualification, specialty group, and locum status were significantly associated with variation in patient scores (table 2).
Confounding variables included years since primary medical qualification, world region of primary medical qualification and specialty.
Four doctor characteristics predicted colleague feedback: the region of primary medical qualification, clinical specialty, current contractual role, and locum status.
*Adjusted relative odds of high impact outcome rather than low impact outcome adjusted for sex, years since primary medical qualification, medical specialty, source of inquiry, type of inquiry, and content of allegations (allegation type was not included at triage stage).
CFH specialty qualifications were held by 96.7% of CFH nurses and 22.4% of midwives (Table 1).
Other potentially relevant items in the database included doctor's age, a more detailed breakdown of specialty, qualifications, employment status, and employment sector.
Explanatory variables included were sex, country of qualification (grouped as UK, rest of European Union and European Economic Area, and outside this area), years since qualification, doctor's specialty, inquiry type, inquiry source, and (in selected models) content of inquiry.
or other relevant qualification in their specialty.
