| Literature DB >> 34934586 |
Srikanta Padhan1, Pugazhenthan T2, Ramesh Chandrakar3, Abhiruchi Galhotra1, Nitinkumar B Borkar4.
Abstract
INTRODUCTION: One-third of the annual hospital budget is spent on the purchase of medicines, materials, and supplies. Drug store management is a complex but critical process within the healthcare delivery system. Health supply chains, the import of active pharmaceutical ingredients, transportation, procurement, finished products have been disrupted by COVID-19. MATERIALS &Entities:
Keywords: antibiotics; drug store; impact; pandemic; shortage; utilization
Year: 2021 PMID: 34934586 PMCID: PMC8684361 DOI: 10.7759/cureus.19723
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1Category-wise drug consumption pattern
Change in overall drug consumption pattern
| Drug/Consumable Name | Total Consumption in Pre-COVID-19 Period (2019) | Total Consumption During COVID-19 Period (2020) | Increase/Decrease (%) | Chi-square Value | P-value |
| Injection piperacillin 4 gm + tazobactam 500 mg | 16393 | 30292 | 85 | 3815.61 | P <0.00001 |
| Tablet metronidazole 400 mg | 12635 | 8035 | -36 | 1387.12 | P <0.00001 |
| Injection metronidazole 100 ml | 11279 | 19305 | 71 | 15390.79 | P <0.00001 |
| Tablet azithromycin 500 mg | 11100 | 30300 | 173 | 203.05 | P <0.00001 |
| Injection ceftriaxone 500 mg | 6400 | 16300 | 155 | 1067.90 | P <0.00001 |
| Injection meropenem 1 gm | 5588 | 7626 | 36 | 2422.33 | P <0.00001 |
| Injection amoxicillin + clavulanic acid 1.2 gm | 5420 | 9862 | 82 | 998.75 | P <0.00001 |
| Injection ceftriaxone 1 gm | 5310 | 19810 | 273 | 4965.88 | P <0.00001 |
| Tablet azithromycin 250 mg | 3260 | 9900 | 204 | 238.62 | P <0.00001 |
| Tablet ciprofloxacin 500 mg | 3180 | 6310 | 98 | 624.5 | P <0.00001 |
| Tablet paracetamol 500 mg | 17090 | 53210 | 211 | 1730.61 | P <0.00001 |
| Injection paracetamol 2 ml | 7135 | 6865 | -4 | 1482.62 | P <0.00001 |
| IV paracetamol 100 ml | 3055 | 6000 | 96 | 768.14 | P <0.00001 |
| Tablet diclofenac 50 mg | 16280 | 17700 | 9 | 2312.68 | P <0.00001 |
| Injection diclofenac sodium 1 ml | 10000 | 11160 | 11.6 | 0.05 | P = 0.4945* |
| Lignocaine 2% 30 ml | 3633 | 2326 | -36 | 466.98 | P <0.00001 |
| Dexamethasone 2 ml | 15009 | 23452 | 56 | 283.65 | P <0.00001 |
| Hydrocortisone 100 mg | 6200 | 4800 | -23 | 663.89 | P <0.00001 |
| Heparin 5000 IU | 2082 | 4500 | 116 | 1108.77 | P <0.00001 |
| Heparin 25000 IU | 1363 | 965 | -29 | 228.13 | P < 0.00001 |
Change in overall consumables consumption pattern
PPE: Personal protective equipment
| Drug/Consumables Name | Total Consumption in Pre-COVID-19 Period | Total Consumption During COVID-19 Period | Increase/Decrease (%) | Chi-square Value | P-value |
| Face masks (three layers) | 544500 | 1482450 | 172 | 3171.18 | P <0.00001 |
| Syringes 5 ml | 348100 | 276100 | -21 | 52122.90 | P <0.00001 |
| Syringes 10 ml | 319150 | 210850 | -34 | 95323.85 | P <0.00001 |
| Syringes 2 ml | 316695 | 288700 | -9 | 28646.55 | P <0.00001 |
| Surgical Gloves 7 | 162350 | 162545 | 0 | 287.42 | P <0.00001 |
| Surgical Gloves 7.5 | 116625 | 118700 | 2 | 199.11 | P <0.00001 |
| Cap Male (Surgeon) | 136900 | 203600 | 49 | 70627.29 | P <0.00001 |
| Cap Female (Buffet) | 116500 | 201750 | 73 | 4766.24 | P <0.00001 |
| IV Set Micro | 16205 | 22988 | 42 | 1282.32 | P <0.00001 |
| IV Cannula 22 | 37790 | 30280 | -20 | 4497.05 | P <0.00001 |
| IV Cannula 20 | 37522 | 52448 | 40 | 15380.83 | P <0.00001 |
| IV Cannula 18 | 21722 | 21566 | -1 | 10015.86 | P <0.00001 |
| Shoe Cover | 22850 | 165400 | 624 | 751.59 | P <0.00001 |
| Examination Gloves | 14601 | 21813 | 49 | 6693.72 | P <0.00001 |
| Urobags | 10187 | 9500 | -7 | 2565.95 | P <0.00001 |
| Foley's Catheter 16 | 5750 | 2993 | -48 | 806.462 | P <0.00001 |
| Foley's Catheter 14 | 1968 | 1616 | -18 | 2.90 | P =0.88502* |
| Blood Glucose Strips | 4316 | 3224 | -25 | 330.50 | P <0.00001 |
| Face Masks N95 | 1396 | 152462 | 10821 | 1134150.04 | P <0.00001 |
| PPE Kit (Disposable) | 0 | 92057 | NA | NA | NA |
Analysis of defined daily dose (DDD) per 100 bed days of the drug. Comparison is based on DDD WHO/anatomical therapeutic chemical (ATC) code.
| Drug Name | ATC Code | DDD by WHO | DDD/100 Bed Days (2019) | DDD/100 Bed Days (2020) | Increase/Decrease (%) | t Value | p-Value |
| Piperacillin 4 gm + Tazobactam 500 mg (Oral) | JO1CR05 | 14 gm | 3.4 | 6.1 | 79 | 2.494 | 0.0298 |
| Metronidazole 400mg (Oral) | JO1XD01 | 1.5 gm | 33.5 | 19.8 | -40 | -2.497 | 0.0296 |
| Meropenem 1 gm (Oral) | JO1DH02 | 3 gm | 1.2 | 1.5 | 25 | 0.185 | 0.8583* |
| Ceftriaxone 500 mg (Parentral) | JO1DD04 | 2 gm | 3.1 | 7.5 | 141 | 2.412 | 0.0343 |
| Azithromycin 500 mg (Oral) | JO1FA10 | 0.5 gm | 22.1 | 56 | 153 | 4.408 | 0.0010 |
| Ciprofloxacin 500 mg (Oral) | JO1MA02 | 1 gm | 10.5 | 19.4 | 85 | 2.139 | 0.0581* |
| Paracetamol 500 mg (Oral) | NO2BE01 | 3 gm | 18.9 | 54.6 | 189 | 2.855 | 0.0156 |
| Diclofenac 50 mg (Oral) | MO1AB05 | 0.1 gm | 54 | 54.5 | 1 | 1.388 | 0.1925* |
| Dexamethasone 2 ml (Parentral) | H02AB02 | 1.5 mg | 53.1 | 77.1 | 45 | 2.620 | 0.0238 |
| Hydrocortisone 100 mg (Parentral) | HO2AB09 | 30 mg | 13.7 | 9.8 | -28 | -0.618 | 0.5535* |
Consumption comparison of surgical masks and N95 masks at the peak of the COVID-19 wave (September 2020)
HCW: Health care worker
| Consumables | Total Consumption in September 2020 | Average Consumption per Day | Total Health Care Workers | Average Consumption per Day per HCW |
| Surgical Masks | 246750 | 8225 | 2220 | 3.70 |
| N95 Masks | 24721 | 824 | 2220 | 0.37 |
Bed occupancy rate from 1st January 2019 to 31st December 2020
| Month & Year | Total no. of Functional Beds | Average no. of Occupied beds | Average Bed Occupancy Rate |
| January 2019 | 600 | 306 | 51.0 % |
| February 2019 | 600 | 321 | 53.5 % |
| March 2019 | 600 | 337 | 56.1 % |
| April 2019 | 600 | 335 | 55.8 % |
| May 2019 | 600 | 348 | 58.0 % |
| June 2019 | 668 | 410 | 61.4 % |
| July 2019 | 668 | 450 | 67.4 % |
| August 2019 | 668 | 453 | 67.8 % |
| September 2019 | 700 | 482 | 68.9 % |
| October 2019 | 700 | 465 | 66.4 % |
| November 2019 | 700 | 522 | 74.6 % |
| December 2019 | 700 | 531 | 75.8 % |
| January 2020 | 700 | 534 | 76.3 % |
| February 2020 | 800 | 536 | 67.0 % |
| March 2020 | 800 | 403 | 50.4 % |
| April 2020 | 800 | 211 | 26.4 % |
| May 2020 | 800 | 317 | 39.6 % |
| June 2020 | 800 | 365 | 45.6 % |
| July 2020 | 800 | 409 | 51.1 % |
| August 2020 | 800 | 510 | 63.8 % |
| September 2020 | 800 | 562 | 70.3 % |
| October 2020 | 800 | 450 | 56.2 % |
| November 2020 | 900 | 498 | 55.4 % |
| December 2020 | 900 | 531 | 59.0 % |