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. 2020 Jun 15;75(9):2677–2680. doi: 10.1093/jac/dkaa222

Table 1.

The point-scoring tools

Yes No
A. Prediction of co-amoxiclav resistance (incorporating electronic-prescribing data)
  previous co-amoxiclav prescription +3 −1
  comorbidity: other inflammatory condition of skin; chronic ulcer of skin; other skin disorders +1 −1
  previous co-amoxiclav susceptibility −2 0
  comorbidity: septicaemia, shock +3 0
  previous co-amoxiclav resistance +7 −1
B. Prediction of piperacillin/tazobactam resistance (incorporating electronic-prescribing data)
  sample type: blood −2 0
  previous co-amoxiclav susceptibility –1 0
  previous co-amoxiclav resistance +4 –1
  comorbidity: diabetes mellitus without complication +2 –1
  previous piperacillin/tazobactam resistance +7 –1
C. Prediction of co-amoxiclav resistance (excluding electronic-prescribing data)
  comorbidity: mental retardation, senility and organic mental disorders +2 0
  consultant specialty: general medicine +1 –1
  previous co-amoxiclav susceptibility –2 0
  comorbidity: septicaemia, shock +3 0
  previous co-amoxiclav resistance +7 –1
D. Prediction of piperacillin/tazobactam resistance (excluding electronic-prescribing data)
  comorbidity: COPD and bronchiectasis +2 0
  comorbidity: skin and subcutaneous tissue infections +3 0
  previous co-amoxiclav resistance +5 –1
  number of comorbidities >5 +1 –1
  previous piperacillin/tazobactam resistance +8 –1

The presence of a factor adds the value indicated in the ‘Yes’ column to the patient’s score, the absence the addition of the value in the ‘No’ column. If the resulting total reaches a pre-determined threshold, the patient is considered at risk of resistance to that antibiotic. In this study, the threshold was set at a point producing a level of ‘under’ or 'over'-prescribing similar to that of medical staff.