The limited completeness of data recording on variables which may influence gender differences in consultation patterns, such as ethnicity and employment status.
The initiatives of the Utstein Trauma Template further demonstrate broad support and feasibility for establishing consensus on recording of variables in trauma registries [ 13].
Each case in the IMA 2002-5 dataset was individually matched with up to five NHS records on four variables: age, parity, year of birth, and socioeconomic status (as measured by fifth of deprivation).
We were able to match NHS births using anonymised NHS records on four variables, pre-empting the criticism that outcomes cannot be compared because women who employ an independent midwife are atypical.
We collected information from the medical records on demographic variables, BMI, serum leptin and adiponectin levels, and other laboratory parameters, including serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), cholinesterase (CHE), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), and the HOMA-IR levels.
We were not able to examine to what extent gender differences in consultation pattern are influenced by factors such as ethnicity and employment status because of limited completeness of data recording on these variables.
Data were recorded on demographic variables; diagnosis on admission; prior comorbidity (history of kidney or liver failure, respiratory or cardiac disease, transplantation); anthropometric data (weight, height, BMI); type of TPN; concomitant prescription of steroids, somatostatin, tacrolimus, or cyclosporin; and nutritional assessment by subjective global assessment (SGA) before starting TPN (16).
Data were collected (SDBAQ and medical record data extraction) on variables thought to be potentially associated with depression.
Analyses in this study were based on participants with full records on all relevant variables (N = 1,023).
Practice staff extract information from the medical records on the following variables which comprise the Cambridge Risk Score: age, sex, smoking status, family history of diabetes, body mass index and whether the patient is prescribed anti-hypertensive or steroid medication.
