| Literature DB >> 34853131 |
Omar Al Zahrani1, Ismail Ghorbel1, Osama Mukhtar1, Muneera Almajed1, Hoda M Abdelazim1, Muhammad N Hasan1, Ahmad Mostafa1, Aisha A Al Harbi1, Ali Bajouda1.
Abstract
OBJECTIVES: To evaluate the impact of COVID-19 on cancer management in Saudi Arabia's military hospitals.Entities:
Keywords: COVID-19; cancer management; military hospitals; oncology; pandemic
Mesh:
Year: 2021 PMID: 34853131 PMCID: PMC9149751 DOI: 10.15537/smj.2021.42.12.20210483
Source DB: PubMed Journal: Saudi Med J ISSN: 0379-5284 Impact factor: 1.422
- Comparative analysis of demographic features between 2 samples (2019 and 2020).
| Demographic characteristic | 2019 | 2020 | Chi square/Fisher statistics |
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|---|---|---|---|---|---|---|
| n | (%) | n | (%) | |||
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| Male | 380 | (44.4) | 322 | (44.8) | 0.033 | 0.857 |
| Female | 476 | (55.6) | 396 | (55.2) | ||
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| Military | 787 | (92.8) | 636 | (89.0) | 7.701 | 0.008 |
| Non-military | 61 | (7.2) | 79 | (11.0) | ||
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| Same | 705 | (84.5) | 534 | (76.2) | 35.266 | 0.000 |
| Other military | 67 | (8.0) | 46 | (6.6) | ||
| Other civilian | 62 | (7.4) | 121 | (17.3) | ||
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| Age | 56.9±18.5 | 3-98 | 57.4±16.8 | 2-100 | 0.523 | 0.601 |
Total of some categories do not add to the total sample size such as “1574” due to some “missing data” in these categories. SD: standard deviation
- Comparison between the 2 samples (2019 and 2020) in terms of cancer sites.
| Cancer type | 2019 | 2020 | Total | |||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| Breast | 156 | 18.3 | 141 | 19.7 | 297 | 19.0 |
| Colorectal | 130 | 15.3 | 124 | 17.4 | 254 | 16.2 |
| Thyroid | 85 | 10.0 | 25 | 3.5 | 110 | 7.0 |
| NHL | 55 | 6.5 | 39 | 5.5 | 94 | 6.0 |
| Corpus uteri | 41 | 4.8 | 46 | 6.4 | 87 | 5.6 |
| Prostate | 49 | 5.8 | 25 | 3.5 | 74 | 4.7 |
| Head and neck | 27 | 3.2 | 39 | 5.5 | 66 | 4.2 |
| Lungs | 31 | 3.6 | 28 | 3.9 | 59 | 3.8 |
| Gastric | 22 | 2.6 | 29 | 4.1 | 51 | 3.3 |
| Pancreas | 24 | 2.8 | 26 | 3.6 | 50 | 3.2 |
| Brain | 21 | 2.5 | 26 | 3.6 | 47 | 3.0 |
| Kidney | 28 | 3.3 | 13 | 1.8 | 41 | 2.6 |
| Ovary | 21 | 2.5 | 15 | 2.1 | 36 | 2.3 |
| Skin | 21 | 2.5 | 14 | 2.0 | 35 | 2.2 |
| Liver | 16 | 1.9 | 14 | 2.0 | 30 | 1.9 |
| Soft tissue | 17 | 2.0 | 13 | 1.8 | 30 | 1.9 |
| Bladder | 12 | 1.4 | 16 | 2.2 | 28 | 1.8 |
| Hodgkin lymphoma | 12 | 1.4 | 6 | 0.8 | 18 | 1.1 |
| Testicular | 11 | 1.3 | 6 | 0.8 | 17 | 1.1 |
| Leukemia | 7 | 0.8 | 8 | 1.1 | 15 | 1.0 |
| Esophagus | 5 | 0.6 | 8 | 1.1 | 13 | 0.8 |
| Bones | 6 | 0.7 | 6 | 0.8 | 12 | 0.8 |
| Multiple myeloma | 5 | 0.6 | 4 | 0.6 | 9 | 0.6 |
| Myeloproliferative neoplasm | 2 | 0.2 | 6 | 0.8 | 8 | 0.5 |
| Malignancy of unknown origin | 5 | 0.6 | 3 | 0.4 | 8 | 0.5 |
| Tongue | 1 | 0.1 | 6 | 0.8 | 7 | 0.4 |
| Others | 42 | 4.9 | 28 | 3.9 | 70 | 4.5 |
| Total | 852 | 100 | 714 | 100 | 1566 | 100 |
Due to some missing information (data) of the diagnosis of the some malignant cases the totals do not add to the sample size.
- Comparison between the 2 samples (2019 and 2020) in time duration for acceptance and start of first oncology treatment.
| Hospitals | KPIs | Year | n | Mean±SD | Median | z-scores |
|
|---|---|---|---|---|---|---|---|
| Overall combined | Time duration for acceptance of new cancer patient in oncology | 2019 | 736 | 7.3±27.8 | 5.0 | -1.299 | 0.194 |
| 2020 | 635 | 8.0±25.4 | 4.0 | ||||
| Time duration to start first oncological treatment | 2019 | 686 | 38.4±48.1 | 26.0 | -0.464 | 0.643 | |
| 2020 | 574 | 44.3±67.9 | 25.0 | ||||
| KFAFH Jeddah | Time duration for acceptance of new cancer patient in oncology | 2019 | 128 | 8.4±35.9 | 0.0 | -2.363 | 0.018 |
| 2020 | 91 | 16.2±58.5 | 1.0 | ||||
| Time duration to start first oncological treatment | 2019 | 154 | 22.6±40.2 | 11.0 | -1.568 | 0.117 | |
| 2020 | 93 | 37.6±73.8 | 14.0 | ||||
| KSAFH Tabuk | Time duration for acceptance of new cancer patient in oncology | 2019 | 91 | 9.0±38.9 | 3.0 | -0.741 | 0.459 |
| 2020 | 126 | 5.2±7.2 | 3.0 | ||||
| Time duration to start first oncological treatment | 2019 | 89 | 20.2±19.3 | 17.0 | -0.780 | 0.435 | |
| 2020 | 115 | 17.8±18.0 | 14.0 | ||||
| PSMMC Riyadh | Time duration for acceptance of new cancer patient in oncology | 2019 | 361 | 8.1±22.9 | 7.0 | -1.345 | 0.179 |
| 2020 | 235 | 8.9±10.7 | 6.0 | ||||
| Time duration to start first oncological treatment | 2019 | 343 | 44.1±51.0 | 30.0 | -0.087 | 0.931 | |
| 2020 | 229 | 39.3±59.5 | 32.0 | ||||
| AFHSR Khamis Mushait | Time duration for acceptance of new cancer patient in oncology | 2019 | 58 | 4.4±4.4 | 2.5 | -0.244 | 0.807 |
| 2020 | 63 | 5.0±6.7 | 2.0 | ||||
| Time duration to start first oncological treatment | 2019 | 23 | 11.4±22.0 | 1.0 | -0.064 | 0.949 | |
| 2020 | 32 | 11.9±19.6 | 0.0 | ||||
| AL HADA Taif | Time duration for acceptance of new cancer patient in oncology | 2019 | 98 | 2.2±10.9 | 0.0 | -2.998 | 0.003 |
| 2020 | 120 | 1.6±2.5 | 0.0 | ||||
| Time duration to start first oncological treatment | 2019 | 77 | 57.7±65.1 | 35.0 | -1.166 | 0.243 | |
| 2020 | 105 | 73.2±82.6 | 42.0 |
KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region, SD: standard deviation, KPI: key performance indicator
- Comparison between the 2 samples (2019 and 2020) in terms of referral activities among different hospitals.
| Hospitals | Year | Referral status | Eligibility status | |||||
|---|---|---|---|---|---|---|---|---|
| Same hospital | Other military | Other civilian |
| Military | Non military |
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| KFAFH Jeddah | 2019 | 191 | 3 | 6 | 0.23 | 192 | 2 | 0.86 |
| 2020 | 108 | 3 | 8 | 119 | 1 | |||
| KSAFH Tabuk | 2019 | 89 | 2 | 6 | 0.00 | 101 | 9 | 0.00 |
| 2020 | 91 | 6 | 35 | 113 | 30 | |||
| PSMMC Riyadh | 2019 | 286 | 55 | 15 | 0.01 | 345 | 20 | 0.15 |
| 2020 | 183 | 26 | 24 | 228 | 7 | |||
| AFHSR Khamis Mushait | 2019 | 75 | 1 | 6 | 0.45 | 77 | 3 | 0.89 |
| 2020 | 92 | 0 | 5 | 93 | 4 | |||
| AL HADA Taif | 2019 | 64 | 6 | 29 | 0.09 | 72 | 27 | 0.56 |
| 2020 | 60 | 11 | 49 | 83 | 37 | |||
Total of the variables are not equal to the total sample size due to some “missing data” in these variables. KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region
- Characteristics of COVID positive patients.
| Characteristics | n | % |
|---|---|---|
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| KFAFH Jeddah | 11 | 14.5 |
| KSAFH Tabuk | 12 | 15.8 |
| PSMMC Riyadh | 38 | 50.0 |
| AFHSR Khamis Mushait | 2 | 2.6 |
| AL HADA Taif | 13 | 17.1 |
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| Male | 28 | 36.8 |
| Female | 48 | 63.2 |
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| Yes | 55 | 71.6 |
| No | 21 | 28.4 |
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| Fever | 31 | 58.5 |
| Cough | 26 | 49.1 |
| Shortness of breath | 14 | 26.4 |
| Diarrhea | 5 | 9.4 |
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| Active | 1 | 1.3 |
| Recovered | 55 | 72.4 |
| Hospitalized (in ICU on ventilator) | 3 | 3.9 |
| Expired due to Covid-19 | 17 | 22.4 |
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| Stable | 23 | 30.3 |
| Response to treatment | 21 | 27.6 |
| Progression | 7 | 9.2 |
| Treatment discontinued | 1 | 1.3 |
| Overall expired cases | 23 | 30.3 |
Common symptoms are not mutually exclusive. Total of the some variables are not equal to the total sample size due to some “missing data” in these variables. KFAFH: King Fahad Armed Forces Hospital, KSAFH: King Salman Armed Forces Hospital, PSMMC: Prince Sultan Military Medical City, AL HADA: Al Hada Armed Forces Hospital, AFHSR: Armed Forces Hospital Southern Region, ICU: intensive care unit