Advance care planning (ACP), involving discussions between patients, families and healthcare professionals on future healthcare decisions, in advance of anticipated impairment in decision-making capacity, improves satisfaction and end-of-life care while respecting patient autonomy. It usually results in the creation of a written advanced care directive (ACD). This systematic review examines the impact of ACP on several outcomes (including symptom management, quality of care and healthcare utilisation) in older adults (>65years) across all healthcare settings. Nine randomised controlled trials (RCTs) were identified by searches of the CINAHL, PubMed and Cochrane databases. A total of 3646 older adults were included (range 72-88 years). Seven studies were conducted with community dwellers and the other two RCTs were conducted in nursing homes. Most studies did not implement a standardised ACD, or measure the impact on quality of end-of-life care or on the death and dying experience. All studies had some risk of bias, with most scoring poorly on the Oxford Quality Scale. While ACP interventions are well received by older adults and generally have positive effects on outcomes, this review highlights the need for well-designed RCTs that examine the economic impact of ACP and its effect on quality of care in nursing homes and other sectors.

BackgroundRoutine delirium screening could improve delirium detection, but it remains unclear as to which screening tool is most suitable. We tested the diagnostic accuracy of the following screening methods (either individually or in combination) in the detection of delirium: MOTYB (months of the year backwards); SSF (Spatial Span Forwards); evidence of subjective or objective ‘confusion’.MethodsWe performed a cross-sectional study of general hospital adult inpatients in a large tertiary referral hospital. Screening tests were performed by junior medical trainees. Subsequently, two independent formal delirium assessments were performed: first, the Confusion Assessment Method (CAM) followed by the Delirium Rating Scale-Revised 98 (DRS-R98). DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, fourth edition) criteria were used to assign delirium diagnosis. Sensitivity and specificity ratios with 95% CIs were calculated for each screening method.Results265 patients were included. The most precise screening method overall was achieved by simultaneously performing MOTYB and assessing for subjective/objective confusion (sensitivity 93.8%, 95% CI 82.8 to 98.6; specificity 84.7%, 95% CI 79.2 to 89.2). In older patients, MOTYB alone was most accurate, whereas in younger patients, a simultaneous combination of SSF (cut-off 4) with either MOTYB or assessment of subjective/objective confusion was best. In every case, addition of the CAM as a second-line screening step to improve specificity resulted in considerable loss in sensitivity.ConclusionsOur results suggest that simple attention tests may be useful in delirium screening. MOTYB used alone was the most accurate screening test in older people.

Introduction: differentiating mild cognitive impairment (MCI) from normal cognition (NC) is difficult. The AB Cognitive Screen (ABCS) 135, sensitive in differentiating MCI from dementia, was modified to improve sensitivity and specificity, producing the quick mild cognitive impairment (Qmci) screen.Objective: this study compared the sensitivity and specificity of the Qmci with the Standardised MMSE and ABCS 135, to differentiate NC, MCI and dementia.Methods: weightings and subtests of the ABCS 135 were changed and a new section ‘logical memory’ added, creating the Qmci. From four memory clinics in Ontario, Canada, 335 subjects (154 with MCI, 181 with dementia) were recruited and underwent comprehensive assessment. Caregivers, attending with the subjects, without cognitive symptoms, were recruited as controls (n = 630).Results: the Qmci was more sensitive than the SMMSE and ABCS 135, in differentiating MCI from NC, with an area under the curve (AUC) of 0.86 compared with 0.67 and 0.83, respectively, and in differentiating MCI from mild dementia, AUC of 0.92 versus 0.91 and 0.91. The ability of the Qmci to identify MCI was better for those over 75 years.Conclusion: the Qmci is more sensitive than the SMMSE in differentiating MCI and NC, making it a useful test, for MCI in clinical practice, especially for older adults.

A holistic palliative care approach could address the complex physical and psychosocial symptoms experienced by people with Parkinson's disease and their carers, and people with Parkinson's disease and their carers are open to palliative care. Further research needs to explore how palliative care can be introduced into the routine care for people with Parkinson's disease.