PT - JOURNAL ARTICLE AU - D Adamis AU - F C Martin AU - A Treloar AU - A J D Macdonald TI - Capacity, consent, and selection bias in a study of delirium AID - 10.1136/jme.2002.000919 DP - 2005 Mar 01 TA - Journal of Medical Ethics PG - 137--143 VI - 31 IP - 3 4099 - http://jme.bmj.com/content/31/3/137.short 4100 - http://jme.bmj.com/content/31/3/137.full SO - J Med Ethics2005 Mar 01; 31 AB - Objectives: To investigate whether different methods of obtaining informed consent affected recruitment to a study of delirium in older, medically ill hospital inpatients. Design: Open randomised study. Setting: Acute medical service for older people in an inner city teaching hospital. Participants: Patients 70 years or older admitted to the unit within three days of hospital admission randomised into two groups. Intervention: Attempted recruitment of subjects to a study of the natural history of delirium. This was done by either (a) a formal test of capacity, followed by either a request for consent or an attempt at obtaining assent from a proxy, or (b) a combined informal capacity/consent process. Main outcome measures: Prevalence and severity of delirium, and, as case mix measures, length of hospital stay and destination on discharge. Results: Recruitment of subjects through establishing formal capacity and then informed consent was less successful (43.9% v 74% of those approached) and, compared with those recruited through the usual combined capacity/consent approach, yielded a sample with less cognitive impairment, lower severity of delirium, lower probability of case note diagnosis of delirium and lower rate of entering a care home. Conclusions: Methods of obtaining informed consent may significantly influence the case mix of subjects recruited to a study of delirium. Stringent testing of capacity may exclude patients with delirium from studies, thus rendering findings less generalisable. A different method is necessary to achieve an ethical balance between respecting autonomy through obtaining adequate informed consent and avoiding sample bias.