| Literature DB >> 34783211 |
Yuya Nogami1, Hiroaki Komatsu2, Takeshi Makabe1, Yuri Hasegawa3, Yoshihito Yokoyama4, Kei Kawana5, Aikou Okamoto6, Mikio Mikami7, Hidetaka Katabuchi8.
Abstract
OBJECTIVE: As coronavirus disease 2019 (COVID-19) rages on, it is a challenging task to balance resources for treatment of COVID-19 and malignancy-based treatment. For the development of optimal strategies, assessing the conditions and constrains in treatment during the COVID-19 pandemic is pertinent. This study reported about a nationwide survey conducted by the Japan Society of Gynecologic Oncology.Entities:
Keywords: COVID-19; Genital Neoplasms, Female; Health Care Surveys; SARS-CoV-2 Infection; Surgical Oncology
Mesh:
Year: 2021 PMID: 34783211 PMCID: PMC8728672 DOI: 10.3802/jgo.2022.33.e8
Source DB: PubMed Journal: J Gynecol Oncol ISSN: 2005-0380 Impact factor: 4.401
Characteristics of the medical facilities
| Number of all responding facilities | Value (n=232) | |
|---|---|---|
| Priority medical institutions accepting COVID-19 | 194 (83.6) | |
| Collaborative institutions accepting suspected patients with COVID-19 | 18 (7.8) | |
| Others | 20 (8.6) | |
| Facilities in “Prefectures operating under special safety precautions” | 151 (65.1) | |
| Facilities in normally operating prefectures | 81 (34.9) | |
| Facilities not experiencing restrictions | 61 (26.2) | |
| Facilities with a period of restriction | 171 (73.7) | |
| To allocate manpower for COVID-19 | 67 (28.9) | |
| To build a system for infection control | 53 (22.8) | |
| Due to event of nosocomial infection/s | 42 (18.1) | |
| Others | 9 (3.9) | |
Values are presented as number (%).
COVID-19, coronavirus disease 2019.
Fig. 1The percentage of the response with regard to the change in the number of outpatient visits and surgeries and the underlying factors contributing to the change based off the perception of the survey participants.
Actual number of surgeries for gynecological malignancies
| March to July | August to December | Total | March to July | August to December | Total | p-value* | |||
|---|---|---|---|---|---|---|---|---|---|
| All | |||||||||
| 2019 | 10,839 | 10,839 | 21,605 | ||||||
| 2020 | 10,576 | 10,187 | 20,763 | ||||||
| Ratio (%) | −2.4 | −6 | −3.9 | ||||||
| Facilities in “Prefectures operating under special safety precautions” | vs. | Facilities in normally operating prefectures | |||||||
| 2019 | 7,343 | 7,498 | 14,841 | 3,295 | 3,268 | 6,563 | |||
| 2020 | 7,102 | 6,940 | 14,042 | 3,304 | 3,247 | 6,551 | |||
| Ratio (%) | −3.3 | −7.4 | −5.4 | 0.3 | −0.6 | −0.2 | 0.011 | ||
| Facilities with a period of restriction | vs. | Facilities not experiencing restrictions | |||||||
| 2019 | 8,004 | 7,891 | 15,895 | 2,835 | 2,875 | 5,710 | |||
| 2020 | 7,495 | 7,314 | 14,809 | 3,081 | 2,873 | 5,954 | |||
| Ratio (%) | −6.4 | −7.3 | −6.8 | 8.7 | −0.1 | 4.3 | <0.001 | ||
*χ2 test.
Fig. 2The rate of change in the number of surgeries of each facility were categorized as: (A) Facilities in “Prefectures operating under special safety precautions”, and (B) Facilities in normally operating prefectures. There was a significant difference in distribution as calculated by Mann-Whitney U test.
Delay in medical consultation and treatment and its impact
| Whether or not patients refrained from visiting the doctor based on their own judgment | ||
| Yes, 162 (69.8) | ||
| No, 70 (30.2) | ||
| Whether or not there were visiting restrictions due to stay in certain prevalent areas | ||
| Yes, 83 (35.8) | ||
| No, 149 (64.2) | ||
| Whether or not doctors felt medical management/prognosis were impacted due to delays in medical visits | ||
| Yes, 79 (34.1) | ||
| No, 153 (65.9) | ||
| Delay in treatment (March to July vs. August to December) | ||
| Significant delay (5 vs.3) | ||
| Treatment postponed at patients' request (4 vs. 2) | ||
| Restrictions on facility functions (1 vs. 1) | ||
| A few weeks delay (54 vs. 26) | ||
| Treatment postponed at patients' request (10 vs. 5) | ||
| Restrictions on facility functions (33 vs. 16) | ||
| COVID-19 infection (11 vs. 5) | ||
| No delay (173 vs.203) | ||
Values are presented as number (%).
COVID-19, coronavirus disease 2019.
Fig. 3Distribution of stages in three major types of gynecological cancer based on current survey data and Japan Society of Obstetrics and Gynecology database. Based on the Kruskal-Wallis test, the distribution in this survey had no significant difference compared to past data as the control for all cancer types.
CIN, cervical intraepithelial neoplasia; NAC, neoadjuvant chemotherapy.