Care Homes` Use of Medicines Study (CHUMS)
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Transcript Care Homes` Use of Medicines Study (CHUMS)
Dr David Alldred
Lecturer in Pharmacy
Academic Unit of Medicines Management
University of Leeds
[email protected]
Background
Patient safety initiatives of early 2000’s supplemented
by DH policy research initiative:
Patient Safety Research Portfolio at:
http://www.pcpoh.bham.ac.uk/publichealth/psrp
Commissioned research on medication errors in care
homes.
Care Homes’ Use of Medicines Study
•Prof Nick Barber (University of London)
•Prof Theo Raynor (University of Leeds)
•Prof Peter Buckle (University of Surrey)
www.pharmacy.ac.uk
Care homes’ use of medicines
study (CHUMS)
Aims
1.
To identify the frequency and causes of medication
errors (prescribing, monitoring, dispensing,
administration)
2.
To determine the potential harm
3.
To suggest solutions
(Alldred et al 2009; Barber et al 2009)
Methods
256 randomly selected residents from 55 homes in W
Yorks, Cambs and London (38 mixed care)
Visited homes:
observed staff/records
observed medicines
observed administrations (2 drug rounds/resident)
interviewed care home staff.
Results
Mean age 85, on mean of 8 meds
7 out of 10 residents were exposed to at least one medication
error (mean of 1.9 errors/resident)
Prevalence of prescribing errors 8.3% of medicines (39% of
residents)
Monitoring errors 14.7% of medicines (18% of residents)
Dispensing errors 9.8% of medicines (37% of residents)
Administration errors 8.4% (22% of residents)
Administration errors
Prevalence of 8.4% (1 in 12)
Half were omissions, one-fifth wrong dose
Residential > Nursing? (adjusted OR 1.77 95% CI 0.96 to
3.25)
Types of administration errors
Omission
Drug incorrect
Allergy error
Formulation error
Extra dose(s)
Route error
Wrong dose
Deteriorated drug
Unprescribed drug
Timing error
Omission: Fluoxetine 20mg capsules were prescribed
“one daily” for depression and not administered for 6
days as drug not in stock.
Wrong dose: Casodex® (bicalutamide) 150mg tablets
“one daily” were prescribed by the hospital for prostate
cancer; the prescription was continued by the GP
generically as bicalutamide and administered
simultaneously.
Wrong dose: Glyceryl trinitrate patch prescribed
generically “5mg/24 hours take HALF daily” for
ischaemic heart disease. A patch was cut in half and
applied to the resident’s chest despite the fact that the
contents were leaking out.
Formulation and dispensing systems
Compared different formulations to see if any
difference in error rates
Monitored dosage systems versus manufacturers’
packaging
(Alldred et al 2011)
Formulation and dispensing systems
When compared to
tablets/capsules in MDS,
error rates were:
Liquids – 4 times higher
Omissions
Not shaking bottle
Inaccurate
measurement
(Alldred et al 2011)
Formulation and dispensing systems
When compared to
tablets/capsules in MDS, error
rates were:
Topical/transdermal/injections
– 19 times higher
Omissions
Wrong doses
Expired
(Alldred et al 2011)
Formulation and dispensing systems
When compared to
tablets/capsules in MDS,
error rates were:
Inhalers – 30 times higher
Not shaking device
Resident not holding
breath
Spacer not used
Wrong number of puffs
(Alldred et al 2011)
Formulation and dispensing systems
When compared to
tablets/capsules in MDS,
error rates were:
Tablet/capsules not in
MDS – twice as high
(Alldred et al 2011)
Drug sensitivities
Record review of 121 residents in 31 homes
31 (26%) had ≥1 documented sensitivity
48 sensitivities in total
Number of sensitivities recorded by:
GP
Care home records
Medicines administration record
35 (73%)
29 (60%)
3 (6%)
Only 2 sensitivities documented on all three records
(Alldred et al 2010)
Recording of drug sensitivities
Causes of errors (CHUMS)
Human error theory
Systems approach
59 interviews with staff who made
errors
Multiple causes
Accident Causation Model
ORGANISATIONAL &
CORPORATE
CULTURE
CONTRIBUTORY
FACTORS
INFLUENCING
PRACTICE
Work/
Environment
Factors
Management
Decisions
and
Organisational
Processes
DEFENCES/
BARRIERS
Unsafe Acts
Team Factors
Individual
(staff) Factors
Errors
Incident
Task Factors
Patient Factors
LATENT
FAILURES
CARE MANAGEMENT
PROBLEMS
ERROR &
VIOLATION
PRODUCING
CONDITIONS
Violations
ACTIVE
FAILURES
Causes of errors (CHUMS)
Lack of patient awareness of medicines
Physical problems e.g. dysphagia, arthritis
Dispensing and ordering systems
Lack of protocols
Lack of knowledge and training
Tired, unwell, stressed etc.
Verbal rather than written culture
Causes of errors (CHUMS)
Time pressure
Staff turnover
Drug round interruptions (up to 12 per hour)
Poor communication with pharmacy and GP
Lack of support from other healthcare professionals
Inaccurate medicines administration records
Physical environment –unpleasant smells, poorly lit,
noisy, shortage of space
Solutions
Improve/increase education and training
Drug round breaks
Redesign the drug trolley
Reduce number of medicines/doses
Prescribe medicines more evenly over the day
Improve communication with, and support from,
other healthcare professionals
Adequate policies
Technology e.g. barcoding, ordering systems
Summary
Prevalence of administration errors is high and needs
reducing
Medicine-related and patient-related factors may
increase the risk of error
Causes are multiple
Solutions need to be developed to improve systems
Technology has a role
References
Alldred et al 2011. The influence of formulation and medicine delivery system on
medication administration errors in care homes for older people. BMJ Qual Saf
DOI: 10.1136/bmjqs.2010.046318
Alldred et al 2010. The recording of drug sensitivities for older people living in
care homes. Br J Clin Pharmacol 69:553-557
Alldred DP et al 2009. Care home use of medicines study. Medication errors in
nursing and residential care homes – prevalence, consequences, causes and
solutions. Report to the Patient Safety Research Portfolio. Available at
http://www.haps.bham.ac.uk/publichealth/psrp/PS025_Project_Summary.shtml
Barber ND et al 2009. The Care Homes’ Use of Medicines Study: prevalence,
causes and potential harm of medication errors in care homes for older people.
Qual Saf Health Care 18, pp.341-6. Available at
http://qshc.bmj.com/content/18/5/341.abstract
Dean B, Barber N. 2001. Validity and reliability of observational methods for
studying medication administration errors. Am J Health System Pharm 58:54–9.