Appraising the New Medicine Service in England A project funded by - - PowerPoint PPT Presentation
Appraising the New Medicine Service in England A project funded by - - PowerPoint PPT Presentation
Understanding and Appraising the New Medicine Service in England A project funded by the Department of Health Background to the NMS 15 million patients in England have a long term medical condition, 813.3 million NHS prescriptions
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Background to the NMS
- 15 million patients in England have a long term medical condition, 813.3
million NHS prescriptions dispensed in 2009-10
- Adherence is poor in key prevalent diseases:
- COPD: 33% (Marsden, et al. 2009)
- Schizophrenia: 52% (Llorca 2008)
- Asthma: 67% (Cerveri, Locatelli et al. 1999)
- Diabetes: 78% (Ho, Rumsfeld et al. 2006)
- 15% people receiving a new medicine take few, if any, doses
sub-optimal medicines use (assuming appropriate Rx) inadequate management of the LTC and poor outcomes cost to the patient, the NHS and society
- Estimated opportunity cost (NHS England) of lost health gain from non-
adherence = £930 million p.a. in 5 diseases:(Trueman, Lowson et al. 2010)
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Hello, it’s the pharmacist calling: an economic evaluation of an intervention to improve adherence
- Intervention: pharmacist telephoned 2 weeks after new Rx for chronic
illness to discuss medication
- Patients: Already on >3 medications: >74 or stroke, cardiovascular
disease, asthma, diabetes, RAs
- Results at 1 month follow-up
- Self-reported non-adherence: 8% versus 16% p=0.030
- medication related problems: 23% versus 34% p=0.019
- Mean total patient costs (NHS): £77.8 versus £113.9 p<0.05
Clifford S, Barber N, Elliott RA, Hartley E, Horne, R. P .W.S. 2006; 28: 165-170 Elliott RA, Clifford S, Barber N, Hartley E, Horne R. P .W.S. 2008; 30: 17-23
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Cost effectiveness plane for adherence intervention
SE quadrant
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The New Medicine Service
Service description This service will provide support to people who are newly prescribed a medicine to manage a long-term condition,* which will generally help them to appropriately improve their medication adherence. Aims and intended outcomes The service should: a) help patients and carers manage newly prescribed medicines for a LTC and make shared decisions about their LTC b) recognise the important and expanding role of pharmacists in optimising the use
- f medicines
*asthma/COPD, hypertension, Type 2 diabetes or anticoagulation/antiplatelet therapy
Patient consultation Patient engagement Patient follow-up
GP referral to community pharmacist for NMS Patient identified by community pharmacist for NMS Refer to GP to resolve medicines- related issues 7-14 days 14-21 days Patient agrees to adhere to new medicine or pharmacist to resolve medicines-related issues Patient agrees to adhere to new medicine Refer to GP to resolve medicines- related issues
What is the NMS?
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NMS Evaluation Study cast list
Project Team Nottingham: Tony Avery, Matthew Boyd (co PI), Loraine Buck, Chris Craig, Rachel Elliott (co PI), Georgios Gkountouras, Asam Latif, Rajnikant Mehta, Ndeshi Salema, Lukasz Tanajewski, Justin Waring, Deborah Watmough London: Nick Barber, James Davies PPI: Antony Chuter Additional Patient Representation: Ember Vincent, Clancy Williams NMS Evaluation Advisory Group: Nick Mays (chair), Alistair Buxton, Sarah Clifford, Ailsa Donnelly, Alan Glanz, Sally Greensmith, Jeanette Howe, Carmel Hughes, Danny Palnoch, Gil Shalom, Gary Warner
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Primary objectives of appraisal
Evaluate the impact of the new medicines service (NMS) on
- patient medicines-taking behaviour,
- patient outcomes,
- and cost-effectiveness from an NHS perspective.
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Technology Appraisal: RCT methods
- 504 participants from 47 pharmacies (EMSY/London)
- Aged >14, eligible for NMS, identified in a community pharmacy on
presentation of prescription for a new medicine for asthma/(COPD), hypertension, type 2 diabetes or an anticoagulant/antiplatelet agent.
- Interventions: Randomised to NMS or current practice.
- Main outcomes: Adherence to new medicine 10 weeks post recruitment.
- The NMS question: ‘Since we last spoke have you missed any
doses of your new medicine, or change when you take it (prompt: when did you last miss a dose)?’
- Morisky Medication Adherence Scale (MMAS-8)
- Also: EQ-5D 3L, NHS costs, BMQ
- Analysis: ITT, outcome adjusted for pharmacy clustering, NMS disease
category, age, sex and medication count, multiple imputation for missing data.
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Technology Appraisal: RCT results
- Follow up: At 10 weeks 85% patients contacted by telephone
(n=443), 60% of questionnaires were returned (n=321), 53 patients withdrawn from study.
- Adherence:
In the unadjusted intention-to-treat analysis of 378 patients still taking the initial medicine: 115/190 (60.5%) and 133/188 (70.7%) (p=0.037) patients were adherent in the current practice and NMS arms, respectively, yielding an odds ratio (95% CI) of 1.58 (1.03, 2.42, p=0.037). In the adjusted analysis: Adherence yielded an odds ratio (95% CI) of 1.67 (1.06, 2.62, p=0.027), in favour of the NMS arm.
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Technology Appraisal: RCT results
Health status:
- Mean (SD) EQ-5D at baseline and follow-up:
- current practice: 0.73 (0.28) and 0.75 (0.26);
- NMS 0.76 (0.28) and 0.77 (0.30).
NHS costs at 10 weeks:
- Mean (median, range) total NHS cost:
- Current practice: £260.87 (121.2, 0-1668.45)
- NMS: £215.16 (110.78,0-1458.7)
- Difference: £45.71 (95% CI: -33.41- 124.84, p= 0.1281).
- This difference reduces to £21.11 once the cost of the NMS
intervention is included.
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Using economic evaluation to determine the impact of a cross-therapeutic adherence intervention
- Economic models can tell you the long term health consequences and
costs incurred by diseases and treatments.
- Need to understand (and therefore need data on):
- Disease and treatment pathways
- Probability of moving from one disease state to another, and the
effect of treatment on that
- The quality of life of a person in each disease state
- The costs of treating the person in each disease state
- Economic models are disease-specific
- Safety and adherence interventions are often cross-therapeutic
- Use of errors and adherence as proxy outcomes
- OR…………..
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Economic evaluation
State 1 State 2 Death
Markov model* Probability and resource use data from trial Probability, resource use and utility data from published sources
*number and type of health states will depend on the disease/drug group
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NMS economic models
- The resultant six treatment pathway models are:
- Hypertension-amlodipine
- Hypertension-ramipril
- Asthma-inhaled corticosteroid (beclometasone)
- COPD-tiotropium
- Diabetes-metformin
- Anticoagulants-aspirin
- Lifetime time horizon, NHS perspective
- Combined with
- effect size, age, disease severity, drug being prescribed and
health status from NMS RCT
- Proportion of disease groups covered by NMS
- Intervention costs
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Hypertension-amlodipine model
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Combining the data from the RCT and the treatment pathway models
Model % NMS cohort CCB* 25.3% ACE* 24.1% Aspirin 8.5% Asthma 17.5% COPD 5.8% Diabetes 18.9% Overall 100%
Adherence: 10-week ITT analysis incorporating imputed missing values, for MMAS-8 composite adherence
- utcome: odds ratio, SD (NMS
vs.current practice): 1.81 (1.07, 3.05). p [adherence] NMS group: 63.6% p [adherence] current practice: 49.1% Cost of NMS intervention: £24.60
Composite economic evaluation
Cost & QALY caused by non-adherence from models
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Incremental economic analysis
- NMS generated a mean of 0.06 (95%CI: 0.00, 0.16) more QALYs
per patient, at a mean reduced cost of -£190 (95%CI: -929, 87).
- NMS dominates current practice, with an ICER (95% credibility
range) of -£3 005 (-17 213, 4 543)
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Incremental cost effectiveness ratio
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Some qualitative findings (20 interviews)
- NMS consultations were found to be mutually respectful and polite
encounters with discussions generally centred on the new medicine within which issues of use and adherence featured alongside other health-related matters.
- Consultations were led from the onset by the pharmacist who routinely
dominated the discussion by asking most questions; patients were found to ask fewer questions.
- For many pharmacists, their intention was to approach the NMS as an
information providing exercise, to support patient use of new medicines.
- Not all pharmacists used the NMS interview schedule, for example
failing to ask about missed doses. As a consequence, opportunities to discuss adherence in-depth were not always taken.
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Some qualitative findings
- Not all pharmacists used the NMS interview schedule, for example
failing to ask about missed doses. As a consequence, opportunities to discuss adherence in-depth were not always taken.
- Generally patients had poor awareness of what the NMS could offer
them and had low expectations beforehand. They were, however, pleasantly surprised by the experience and reassurance provided for a course of action.
- Occasionally patients took the opportunity to raise issues that
concerned them about the new medicine and also wider health related
- issues. In these situations, pharmacists were flexible and
accommodated such discussions.
- 3 patients were referred to the GP following reported medicine side
- effects. The pharmacist had been a valuable source of reassurance
that their side effect warranted medical attention. The NMS and the pharmacist’s intervention provided legitimacy for stopping medication and for them to see the GP about the matter. Pharmacist: So I just wanted to see how you’re doing with that one [aspirin]. Patient: The problem is I’m not going to be able to continue taking them … Because they’re giving me a really bad stomach … I’ve already on a past occasion had seven days in hospital with quite a large stomach bleed that needed five units of blood … So I don’t know really what my options are. Pharmacist: No that’s fine. What we are going to do we are going to refer you back to the doctors … I can send a letter back to the doctors saying what side effects you are experiencing and I would advise you not to take the tablets any more …
[Consultation 169 (intervention) Aspirin
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Conclusions
The New Medicine Service (NMS) launched in 2011 was effective at improving patients’ adherence to their new medicine at 10 weeks follow up, by about 10%. There was no overall cost to the NHS of providing NMS as intervention costs were absorbed by reduced subsequent NHS contact costs. Although baseline adherence varied across disease groups, the NMS had a fairly consistent effect on adherence across hypertension, asthma, COPD, diabetes and treatment with anticoagulants and antiplatelets. NMS increased health gain at a cost per QALY well below most accepted thresholds for technology implementation, usually about £20,000 to £30,000 in the UK