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Dementia: Assessment, management and support for people living with dementia and their carers. London: National Institute for Health and Care Excellence (NICE); 2018 Jun. (NICE Guideline, No. 97.)
Dementia: Assessment, management and support for people living with dementia and their carers.
Show detailsPrescribing for People with Dementia; Selected Findings from POMH-UK Quality Improvement Programmes (QIPs)
The Prescribing Observatory for Mental Health (POMH-UK) is a national initiative to improve the quality of prescribing practice in mental health services through audit-based quality improvement programmes (QIPs). POMH-UK is based in the Centre for Quality Improvement at the Royal College of Psychiatrists and is funded wholly through subscriptions from member Trusts (n=63 in 2016/17).
POMH-UK identifies areas of prescribing practice that are suitable for QIPs, convenes an expert steering group, agrees clinical practice standards based on NICE and other evidence-based guidelines and provides bespoke data collection tools. Audit data are collected by clinicians and clinical audit staff in participating Trusts and are submitted on-line. POMH analyse these data and provide benchmarked audit reports that allow Trusts and teams within these Trusts to compare their prescribing practice with the audit standards and with each other.
POMH-UK have conducted two QIPs that are relevant to this clinical guideline. The first focussed on the prevalence and quality of prescribing of anti-dementia medicines; baseline audit in 2007 and re-audit in 2013. The second focussed on the prevalence and quality of prescribing of antipsychotic medication; baseline audit in early 2011, re-audit in late 2012 and a supplementary audit in 2016. For all of these audits, Trusts that opted to participate were asked to provide data on a sample of people with dementia under the care of their services.
Note that POMH-UK member Trusts all provide mental health services. Audit samples are large and reported clinical practice is therefore likely to be representative of mental health services across the UK, however it cannot be generalised to other settings such as acute Trusts and primary care.
Prescribing Anti-Dementia Drugs
The clinical practice standards for this audit were derived from the NICE dementia clinical guideline (CG42; 2012).
54 Trusts participated in the re-audit, submitting data for 9180 patients, of whom 6286 (68%) were prescribed anti-dementia medication.
Performance against the audit standards at re-audit is shown in Table 1 below.
Practice against audit standards 1 and 2 was measured in the sub-sample of patients who had started anti-dementia medication in the previous 6 months (n=1,650), audit standard 3 in those who had been receiving treatment with anti-dementia medication for 7-12 months (n=927) and audit standard 4 in those who had been treated with anti-dementia medication for more than a year (n=3709).
Table 1Prescribing anti-dementia medication: performance against the audit standards in the total national sample and variation across participating Trusts (2013 re-audit)
Standard | Proportion meeting the audit standard in the total national sample | Variation in the proportion meeting the audit standard across participating Trusts |
---|---|---|
| ||
| 89% | 14-100% |
| 78% | 0-100% |
| 68% (pulse rate recorded)
54% (ECG documented) | 0-100%
0-100% |
| 74% | 0-100% |
| 95% | 29-100% |
| ||
| 75% | 0-100% |
| 78% | 0-100% |
| 78% | 0-100% |
| 63% | 0-100% |
| 71% | 0-100% |
| ||
| 52% (pulse rate recorded)
74% (other side effects) | 0-100%
24-100% |
| 85% | 0-100% |
Anticholinergic burden
There is evidence to suggest that medicines with anticholinergic properties can adversely affect cognition in older people with those exposed to such medicines having both a lower MMSE score in cross-sectional samples, and showing a greater rate of cognitive decline over time (Fox et al, 2011; Fox et al, 2014; Ruxton et al, 2015; Sink et al, 2008). Several studies report that these medicines are commonly prescribed in the elderly, including for people with dementia (Fox et al, 2014; Sink et al, 2008; Johnell & Fastbom, 2008).
A number of different screening tools are used to identify anticholinergic burden (Boustani et al, 2008; Rudolph et al, 2008; Carnahan et al, 2006; Han et al, 2008; Chew et al, 2008; Ancelin et al, 2006; Ehrt et al, 2010). In the POMH-UK re-audit, we used the Anticholinergic Burden Scale (ACB: Boustani et al, 2008) to collect data relating to anticholinergic burden. The authors of this scale state that a score of 2 or 3 indicates clinically significant anticholinergic burden and that this should prompt a review of medication with the aim of reducing this burden.
1600 of 9180 (17%) of the POMH-UK re-audit sample were prescribed medication that gave a cumulative anticholinergic burden score of 2 or more and 1115 (12%) a score of 3 or more. Of these 1115 cases, the medicines that most commonly contributed to this high anticholinergic burden score can be seen in Table 2. This table also shows the burden associated with these medicines as defined by other anticholinergic burden scales
Table 2Most commonly prescribed medicines with anticholinergic effects in the POMH re-audit sub-sample (n=1115: representing 12% of the total national sample of people with dementia) with a high anticholinergic burden score
Medicine | Anticholinergic burden risk scales | Proportion of patients prescribed medicine in POMH-UK sample (AC burden >3 on ACB scale) | ||||||
---|---|---|---|---|---|---|---|---|
ACB (2012) | ARS (2008) | ADS (2015) | Han (2008) | Chew (2008) | Ancelin (2010) | Ehrt (2010) | ||
Amitriptyline | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 20% |
Quetiapine | 3 | 1 | 2 | 2 | 1 | 1 | 19% | |
Furosemide | 1 | 0 | 1 | 3 | 1 | 14% | ||
Olanzapine | 3 | 2 | 3 | 1 | 2 | 2 | 13% | |
Solifenacin | 3 | 3 | 11% | |||||
Warfarin | 1 | 0 | 0 | 9% | ||||
Codeine | 1 | 0 | 1 | 0 | 2 | 0 | 8% | |
Digoxin | 1 | 0 | 1 | 3 | 1 | 8% | ||
Atenolol | 1 | 0 | 1 | 0 | 0 | 7% | ||
Diazepam | 1 | 0 | 1 | 1 | 1 | 6% | ||
Trazodone | 1 | 1 | 0 | 1 | 0 | 6% | ||
Isosorbide | 1 | 1 | 6% | |||||
Risperidone | 1 | 1 | 0 | 1 | 0 | 6% | ||
Tolteridone | 3 | 2 | 3 | 3 | 3 | 5% | ||
Oxybutynin | 3 | 3 | 3 | 2 | 3 | 3 | 5% | |
Carbamazepine | 2 | 1 | 0 | 4% | ||||
Paroxetine | 3 | 1 | 2 | 2 | 2 | 2 | 4% |
Conclusions from this QIP
- Medicines with a high anticholinergic burden are prescribed for a small proportion of people with dementia. Given that medication review was conducted prior to initiating anti-dementia medication in a high proportion of patients, this prescribing is likely to be inadvertent. A small number of medicines are responsible for the most of the anticholinergic burden and alternative medicines that have fewer or no anticholinergic effects are available for many of these high effect drugs.
- Services are generally good at involving carers in decisions about anti-dementia medicines, but are less assiduous in completing physical health checks and assessing for side effects of anti-dementia medicines.
Prescribing Antipsychotic Medication for People with Dementia
The clinical practice standards for this audit were derived from the NICE dementia clinical guideline (CG42; 2012).
53 Trusts participated in the baseline audit, submitting data for 10199 patients, 16% of whom were prescribed anti-psychotic medication in the absence of a diagnosed co-morbid psychotic illness. The respective figures at re-audit and supplementary audit were 51 Trusts, 12799 patients (13% prescribed antipsychotics) and 58 Trusts, 10199 patients (15% prescribed antipsychotic medication) respectively. Performance against the audit standards at each of the 3 audits is shown in Table 3 below.
Practice against audit standards 1 was measured in all patients, audit standards 2-4 in the sub-sample of patients who had started anti-psychotic medication in the previous 3 months and audit standard 5 in those who had been receiving treatment with anti-psychotic medication for more than 6 months.
Table 3Prescribing antipsychotic medication for people with dementia: performance against the audit standards in
the total national sample and variation across participating Trusts (2016 supplementary audit re-audit)
Standard | Proportion meeting standard (variation across Trusts) | ||
---|---|---|---|
Baseline audit (2011) | Re-audit (2012) | Supplementary audit (2016) | |
| 97% (50%-100%) | 97% (67%-100%) | 96% (73%-100%)* |
| 80% (0%-100%) | 74% (0%-100%) | 72% (0%-100%) |
| 43% (0%-100%) | 54% (0%-100%) | 55% (0%-100%) |
| 49% (0%-100%) | 61% (0%-100%) | 61% (0%-100%) |
| |||
| 76% (21%-100%) | 76% (0%-100%) | 81% (29%-100%) |
| 47% (0%-100%) | 54% (0%-100%) | 58% (7%-100%) |
- *
With respect to audit standard 1, the clinical reasons for initiating antipsychotic medication at supplementary audit (in descending order and not mutually exclusive) were; agitation (50%), physical aggression (42%), evident or assumed psychotic symptoms (38%), verbal aggression (36%), distress (26%), resisting help with activities of daily living (16%), known psychotic illness (12%), disturbed
Conclusions
- There was no notable change in the prevalence of prescribing of antipsychotic medication for people with dementia over the timeframe of this QIP.
- There is no evidence of widespread use of antipsychotic medication outside guideline recommendations.
- Modest improvements were seen over the course of the QIP in the documentation of risks associated with antipsychotic medication and in the discussion of these risks with carers.
- There was no documented review of the on-going risks and benefits of antipsychotic treatment in more than two-fifths of patients
References
- Fox C, Richardson K, Maidment I et al. Anticholinergic medication use and cognitive impairment in the older population: The Medical Research Council Cognitive Function and Ageing Study. JAGS 2011, 59;1477–1483 [PubMed: 21707557]
- Fox C, Smith T, Maidment I et al. Effect of medications with anti-cholinergic properties on cognitive function, delirium, physical function and mortality: a systematic review. Age & Ageing 2014, 43;604–15 [PubMed: 25038833]
- Ruxton K, Woodman RJ, Mangoni AA. Drugs with anticholinergic effects and cognitive impairment, falls and all-cause mortality in older adults: A systematic review and meta-analysis. Br J Clin Pharmacol 2015, 80;209–220. [PMC free article: PMC4541969] [PubMed: 25735839]
- Johnell K & Fastbom J. Concurrent use of anticholinergic drugs and cholinesterase inhibitors: register-based study of over 700,000 elderly patients. Drugs Aging. 2008, 25;871–7. [PubMed: 18808211]
- Sink KM, Thomas J, Xu et al. Dual Use of Bladder Anticholinergics and Cholinesterase Inhibitors: Long-Term Functional and Cognitive Outcomes. J Am Geriatr Soc. 2008, 56;847–853. [PMC free article: PMC4646065] [PubMed: 18384584]
- Boustani M, Campbell N, Munger S et al. Impact of anticholinergics on the aging brain: a review and practical application. Aging Health 2008, 4;311.
- Rudolph JL, Salow MJ, Angelini MC et al. The anticholinergic risk scale and anticholinergic adverse effects in older persons. Archives of Internal Medicine. 2008, 168;508–513. [PubMed: 18332297]
- Carnahan RM, Lund BC, Perry PJ et al. The Anticholinergic Drug Scale as a measure of drug-related anticholinergic burden: associations with serum anticholinergic activity. Journal of Clinical Pharmacology. 2006, 46;1481–1486. [PubMed: 17101747]
- Han L, Agostini JV & Allore HG. Cumulative anticholinergic exposure is associated with poor memory and executive function in older men. Journal of the American Geriatrics Society. 2008, 56;2203–2210. [PMC free article: PMC3952110] [PubMed: 19093918]
- Chew ML, Mulsant BH, Pollock BG et al Anticholinergic activity of 107 medications commonly used by older adults. Journal of the American Geriatrics Society. 2008, 56;1333–1341. [PubMed: 18510583]
- Ancelin ML, Artero S, Portet F et al. Non-degenerative mild cognitive impairment in elderly people and use of anticholinergic drugs: longitudinal cohort study. BMJ (Clinical Research Ed.) 2006, 332;455–459. [PMC free article: PMC1382539] [PubMed: 16452102]
- Ehrt U, Broich K, Larsen JP et al. Use of drugs with anticholinergic effect and impact on cognition in Parkinson’s disease: a cohort study. Journal of Neurology, Neurosurgery, and Psychiatry. 2010, 81;160–165. [PubMed: 19770163]
Carol Paton
Joint-heads of POMH
September 2016
- POMH Report - DementiaPOMH Report - Dementia
- CAP-Gly domain-containing linker protein 2 isoform X1 [Homo sapiens]CAP-Gly domain-containing linker protein 2 isoform X1 [Homo sapiens]gi|2217368390|ref|XP_047276756.1|Protein
- nuoI [Wohlfahrtiimonas chitiniclastica]nuoI [Wohlfahrtiimonas chitiniclastica]Gene ID:58264665Gene
- B9T10_RS09945 [Wohlfahrtiimonas chitiniclastica]B9T10_RS09945 [Wohlfahrtiimonas chitiniclastica]Gene ID:58264661Gene
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