Table 4

Key examples of explicit and implicit tools of appropriate prescribing

ToolDescriptionStrengthsLimitations
Beers criteria
(Explicit tool)
  • First widely used explicit criteria

  • Contains over 200 criteria (2023 version) including potentially inappropriate medications to be avoided such as drug disease and drug–drug interactions, particularly in older adults.

  • International studies have shown predictive validity for adverse drug reactions, falls, cognitive function, hospitalisation and death.

  • Endorsed by the American Geriatric Society and updated approximately every 3–4 years.

  • Easier to automate in drug records as criteria are specific

  • No positive clinical outcomes in RCTs to date

  • No prioritisation of medications for review

  • Can be challenging to use as long list of criteria

  • Does not address underprescribing

  • Focus is on individual medications rather than polypharmacy as a whole

Screening Tool of Older Person’s Prescriptions/ Screening Tool to Alert doctors to Right Treatment—STOPP/START
(Explicit tool, but newer versions also contain implicit measures)
  • One of the most widely used explicit criteria globally for older adults

  • Contains 133 criteria for potentially inappropriate medications, and 57 potential underprescribing criteria (version 3), organised according to medication and disease groups

  • Some positive outcomes shown in several RCTs

  • Also addresses aspects of underprescribing in addition to overprescribing

  • Easier to automate in computerised drug records as most criteria are specific

  • Misses out medications out of criteria

  • Can be challenging to use as long list of criteria

  • No prioritisation of medications for review

  • Focus is on individual medications rather than polypharmacy as a whole

Medication Appropriateness Index—MAI
(Implicit tool)
  • First widely used implicit criteria

  • Lists 10 criteria that evaluate various aspects of medication appropriateness (eg, indication, effectiveness, dose)

  • Some positive outcomes shown in several RCTs

  • Can be applied to all medicines

  • Time consuming to execute

  • Requires clinical expertise and can be subjective

  • Difficult to automate

  • No prioritisation of medications for review

  • Focus is seldom on polypharmacy as a whole or underprescribing

Drug Burden Index—DBI
(Implicit tool, as requires further judgement to evaluate appropriateness after calculating score)
  • Widely researched risk score

  • Calculates the cumulative exposure of sedatives and anticholinergics to give a score between 0 and 1.

  • International studies have shown predictive validity for falls, fractures, general practice visits and admission.

  • Takes into account licenced doses to allow transferability between counties

  • Easier to automate in drug records.

  • No positive clinical outcomes in RCTs to date

  • No consideration for appropriateness or specific indication of medicines

  • Only focused on sedatives, and anticholinergics

  • Can be challenging to calculate at point of care unless computerised

  • Does not address polypharmacy as a whole or underprescribing

  • A descriptive summary of selected examples of widely studied explicit and implicit tools.48 54 174–177

  • RCT, randomised controlled trial.