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Individualised Medication Effectiveness Tests for Chronic Pain.

An Individualised Medication Effectivenesss Test (n-of-1 trial) to evaluate the effects of ibuprofen and/or paracetamol in the treatment of chronic pain.

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12605000582651
Enrollment
180
Registered
2005-10-04
Start date
1999-08-12
Completion date
Unknown
Last updated
2020-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

The Centre for General Practice (CGP) at the University of Queensland Medical School operates the IMET Service. IMETs (Individualized Medication Effectiveness Tests) are designed to determine which medications are best for individuals. Some pain medications work differently for different people, and this means that some people taking medicines for chronic pain aren't getting any benefit from them. It is very difficult for doctors to find out which medicine is best just by trying them out one af

The Centre for General Practice (CGP) at the University of Queensland Medical School operates the IMET Service. IMETs (Individualized Medication Effectiveness Tests) are designed to determine which medications are best for individuals. Some pain medications work differently for different people, and this means that some people taking medicines for chronic pain aren't getting any benefit from them. It is very difficult for doctors to find out which medicine is best just by trying them out one after the other because this isn't very reliable. It is much better to compare different medications objectively with an IMET. An IMET is essentially a short medical trial lasting 6 or 12 weeks in which a medication is alternated on a weekly basis with either placebo (identical in appearance but with no effect) or another pain medication. Neither IMET Service staff nor the patient is aware of which weeks they are taking the real medicine. The patient is asked to record how they feel in short diaries during these periods. We can also compare two real medications in the same way. After the IMET, the order of real and placebo medication is compared to the diary recordings are the results are used to determine if the medication benefits that person individually. If the patient says that they feel better when they are taking the real medicine then he/she is a responder. If there is no real difference between the way the patient feels when they are taking the placebo and the real medicine, then the medication isn't likely to be doing them any good. We call these people 'non-responders'. If a patient is a responder, they can keep on taking the medication and feel confident that it is the better one for them. If they are a non-responder, another medication will be of more benefit. Using the IMET process, it is possible for a doctor and patient to find the best medication to treat chronic pain for the individual patient. This trial offers IMETs for Actiprofen and Panadol, two common pain medicines. The reason for this is that some anti-inflammatory pain medications produce unwanted side effects for some people. If it is possible for people to have good pain relief from paracetamol or Actiprofen, or both, then this is a better option. This also has the potential to save the government health budget substantial amounts of money.

Sponsors

University of Queensland
Lead SponsorUniversity

Study design

Allocation
Non-randomised trial
Intervention model
Crossover
Primary purpose
Treatment
Masking
Blinded (masking used)

Eligibility

Sex/Gender
All
Age
0 to No maximum
Healthy volunteers
No

Inclusion criteria

A clinical diagnosis of chronic pain with symptoms of sufficient severity to warrant consideration of long-term medication, in the opinion of the attending practitioner. Many such patients may already be on such medication, but either the attending medical practitioner or the patient is uncertain of the effectiveness of their medication or medication dose.

Exclusion criteria

No exclusion criteria

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026