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Table 4 Description of trends in antibiotic prescribing among patients with severe infections in Ujjain between 2008 and 2017

From: Antibiotic prescribing among patients with severe infectious diseases in two private sector hospitals in Central India – a time series analysis over 10 years

 NTHTH
Antibiotic prescribing among specific diagnoses
 All antibiotics13.84 (< 0.01)1.82 (0.07)
 Cellulitis5.72 (< 0.01)6.52 (< 0.01)
 Peritonitis14.59 (< 0.01)18.52 (< 0.01)
 Pneumonia4.87 (< 0.01)7.30 (< 0.01)
 Sepsis2.18 (0.03)−21.91 (< 0.01)
Antibiotic prescribing among all included patients
Access antibiotics11.52 (< 0.01)1.78 (< 0.07)
Watch antibiotics9.63 (< 0.01)6.49 (< 0.01)
Reserve antibiotics−0.76 (0.45)2.54 (< 0.01)
 FDCs of antibiotics14.28 (< 0.01)7.31 (< 0.01)
Antibiotic prescribing among sepsis patients
Access antibiotics1.49 (0.14)−16.89 (< 0.01)
Watch antibiotics3.02 (< 0.01)−11.38 (< 0.01)
Reserve antibiotics−9.32 (< 0.01)Too few prescriptions
 FDCs of antibiotics3.78 (< 0.01)−9.93 (< 0.01)
  1. Notes: All values are presented with a value for the slope: t, followed by P-value in parenthesis. The t-value is obtained from linear regression analysis and indicates a postitive or negative trend of antibiotic prescribing (measured in DDDs per 1000 patients), over the study period. A positive t-value shows a positive trend of antibiotic prescribing during the study period and a negative t-value shows a negative trend of antibiotic prescribing during the study period. Statistically significant p-values indicates a significant trend and are marked in bold font
  2. Abbreviations: DDD Defined daily dosis, FDC Fixed dose combination, NTH Non-teaching hospital, TH Teaching hospital