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Article

Impact and Strategies on Joint Surgery Centers without Lockdowns during the Peak of the COVID-19 Pandemic: A Multicenter Cross-Sectional Study

by
Chia-Hao Hsu
1,2,3 and
Nin-Chieh Hsu
4,5,*
1
Department of Orthopedics, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung 80145, Taiwan
2
Department of Orthopedics, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
3
Department of Orthopedics, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
4
Department of Internal Medicine, National Taiwan University Hospital, Taipei 10002, Taiwan
5
Department of Internal Medicine, Zhongxing Branch, Taipei City Hospital, Taipei 10341, Taiwan
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2021, 10(22), 5392; https://doi.org/10.3390/jcm10225392
Submission received: 30 September 2021 / Revised: 12 November 2021 / Accepted: 16 November 2021 / Published: 19 November 2021
(This article belongs to the Special Issue Orthopedics and Coronavirus: Analyzing the Past to Face the Present and to Prevent the Future)
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Abstract

:
The real psychological impact of COVID-19 remains difficult to quantify and may differ between hospital sizes and levels. Taiwan’s response to COVID-19 differed in that it successfully prevented its spread, without implementing any lockdowns before May 2021. Patients’ fear would be the major reason for the reduction of surgeries. The daily data for patients who underwent total knee arthroplasty (TKA), total hip arthroplasty, and hemiarthroplasty were collected from two major joint surgery centers of a university hospital and a community hospital in Taiwan. Compared with the previous year, the initial impact of the pandemic evidently reduced the total number of patients (outpatient: 20–29%; admission: 22–37%; surgery: 18–35%) in both hospitals. During the study period, the total number of TKAs decreased by 56–61% in both hospitals. The reduction in arthroplasty surgeries was attributable to patients’ fear. Even with confirmed COVID-19 cases, the university hospital experienced less impact than the community hospital. The TKA was the most affected of all surgery types. Even without local epidemics and restrictions in Taiwan, the worldwide pandemic inevitably led to a reduction of approximately 60% of the total TKA operation volume, especially for community hospitals. The surgery scheduling strategies helped maintain the routine arthroplasty services.

1. Introduction

The case of infection with novel coronavirus disease (COVID-19) was first reported in Wuhan, Hubei Province, China in December 2019. It then spread further and rapidly around the world. On 12 March 2020, The World Health Organization declared COVID-19 a global pandemic [1]. To date, over 220 million cases have been confirmed, and more than 4.5 million people have died from this virus [2]. The COVID-19 pandemic has significantly influenced the global economy and the healthcare system.
Based on our previous experience of the SARS outbreak in 2003, the Taiwanese government responded quickly to contain the COVID-19 outbreak [3,4]. The Taiwanese government has adopted an epidemic prevention strategy and requests people to put on a mask in public, to avoid gathering in public places, and to monitor self-health. Home quarantine for 14 days is required for all inbound travelers. For hospitals, body temperature is measured. Further, recent travel and exposure history are requested before people visit hospitals. As of 14 December 2020, Taiwan recorded more than 200 consecutive days with no new local cases. A total of 740 cases were confirmed and only seven people died from this virus in Taiwan. This indicates that Taiwan has managed and contained the further spread of COVID-19 [5].
Although the first wave of the COVID-19 outbreak has been successfully prevented in Taiwan, the comprehensive epidemic prevention strategy enacted by the Taiwanese government significantly influences the healthcare system [6,7]. Even without any shutdown or overburdening of medical services, a decreased rate of outpatients and surgeries for orthopedic problems was still observed in Taiwan. Patients’ fear of the pandemic was assumed to be the major reason behind the reduced surgeries. Many other countries have experienced the suspension of medical services. Although orthopedic doctors will not be the frontline staff to fight for the pandemic, there are still many orthopedic patients who need surgery during this period.
Several strategies have been implemented in Taiwan to prevent the first wave of COVID-19 outbreaks [8]. However, since the epidemic situation is not grave in Taiwan, there has been no need for restrictions or for changes in medical administrative measures. Compared with several other countries that have suffered complete or partial shutdown in medical services [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35] and have had an impact on arthroplasty surgery [36,37,38,39,40], Taiwan does not have any policies that try to restrict the number of outpatients and limit the arrangements for routine elective joint replacement surgeries. Therefore, most of the reduction in the volume of medical services could be attributed to COVID-19-related psychological effects, such as the patients’ fear, rather than the medical institution itself.
In other countries, some hospitals have developed a process for scheduling patients for admission to reduce the risk of cross-infection of COVID-19 in hospitals during the pandemic [41,42]. Our hospital correspondingly developed a special process to schedule arthroplasty patients (Figure 1).
Fortunately, we have not encountered any cases where patients who tested negative turned positive after the surgery at the ward; although, it may happen. We strictly ensure that patients and their family members or caregivers only enter the ward after being tested negative through an RT PCR test. Not to mention, since the false negative rate of RT PCR is far lower than that of a rapid test, no negative reports have turned positive so far. In a case where a negative test does turn positive, the regulations of the hospital ensure that all contact points of the patients, their family members, and their caregivers are urgently transferred to the negative pressure isolation room, and the ward is temporarily closed for cleaning and disinfection.
Although this process may psychologically affect the patients’ willingness to visit the hospital, considering the initial success in blocking the first wave transmission, Taiwan’s strategies may help maintain routine elective surgery by reducing patients’ fear of infection during surgical procedure. With hospital checks and specific infection control strategies, such as traffic control bundling [4,43,44,45], most patients feel safe and confident when they enter hospitals. However, it is still unavoidable that some patients will not go to the hospitals at all due to fear. In the face of possible local or community contagion, hospitals are highly vigilant, and will not ignore asymptomatic cases [46,47].
In previous impact analyses of all types of orthopedic surgeries, total knee arthroplasty (TKA) seemed to be the most severely affected type of surgery [48]. Our institutions are the major hospitals that perform TKA and total hip arthroplasty (THA) surgeries in southern Taiwan. However, the actual impact of the COVID-19 pandemic on TKA, THA, and hemiarthroplasty surgeries at different levels of hospitals in Taiwan is still unclear and needs to be further clarified. This study aimed to investigate the changes in hip and knee arthroplasty surgeries at one university hospital (medical center) and one community hospital in Taiwan during the initial peak period of the COVID-19 pandemic, compared with the previous year. Our results could help us understand the pure psychological impact of the COVID-19 pandemic on hip and knee arthroplasty surgeries in Taiwan.
To our knowledge, this is the first study quantifying the initial impact of the COVID-19 pandemic on arthroplasty surgery conducted in different levels of hospitals in a country without any established restrictions or lockdowns. This study has is unique as it focuses on the least infected area, while other studies have targeted severely infected areas. Thus, it effectively demonstrates the impact of pure psychological factors, which are not directly influenced by the pandemic. Taiwan had only a few local cases during the first wave. Thus, it could be the optimal place for our study.

2. Materials and Methods

2.1. Data Acquisition and Study Design

This study was approved by the Institutional Review Board (IRB) of Kaohsiung Medical University Hospital (KMUH) with an approval number: KMUHIRB-EXEMPT (II)-2020. This study used retrospective comparison analysis. The study period ran from 1 March 2020 to 25 April 2020, for a total of 8 weeks. This period represented the peak of the initial impact of the pandemic. We compared the data obtained from the study period with a control group. The control group was a corresponding period of the last year (1 March 2019 to 25 April 2019). Overall information on orthopedic patients was obtained monthly from two hospitals’ administration office, including medical information about outpatient visits, inpatient hospital admissions, and surgical records. Names and other personal information had been removed from the data. We did not ask the patients to complete any questionnaire at the time of the study, which was already more than six months after the first wave of the pandemic. We believe that due to the time elapsed, there could be recall bias in the participants’ responses. Thus, the data collected did not include questionnaire responses. Instead, the hospital’s performance statistics obtained from its administrative department would be more accurate and precise, and would not change over time (i.e., these would be scientifically reproducible). Thus, we believe that these data would be better than that collected from questionnaires.
Surgical methods were classified as: total types of orthopedic surgery, TKA (including revisions), THA (including revisions), hemiarthroplasty, emergency surgery, and elective surgery. Due to the number of revision arthroplasty being very small, with no more than two operations per week, it was included in the primary arthroplasty. Each of these categories has its analytical characteristics, but there must be some overlaps. For example, TKA or THA is certainly one of the elective surgeries. Daily data for patients receiving TKA, THA, and hemiarthroplasty including the number, sex, and age of patients were collected from two different levels of hospitals: a university hospital/medical center (Kaohsiung Medical University Hospital), and a community hospital (Kaohsiung Municipal Ta-Tung Hospital). These two hospitals were the major joint reconstructive surgery centers in Kaohsiung city (population 2.77 million), the largest city in southern Taiwan and the second largest metropolitan in Taiwan.

2.2. Statistical Analysis

All the statistical analyses were processed using the statistical software package SPSS (IBM Corp., Armonk, NY, USA). Descriptive statistics were calculated to determine the major characteristics of the patients. Categorical data were presented as frequencies, and continuous data were presented as mean ± standard deviation (SD). A two-sample t-test was used to compare continuous data between the two periods. The Chi-square test was used to compare categorical data between the two periods. For all the analyses, a p-value < 0.05 was considered a significant difference.

3. Results

3.1. Overall Impact

3.1.1. The Community Hospital

In total, 17,039 outpatients were analyzed. There were 7308 visits (43%) in March and April 2020, and 9731 visits (57%) in March and April 2019. The amount of outpatient visits reduced by 29% in March and 20% in April during the study period, respectively, as compared with that during the previous year. In total, 2541 hospital admissions were analyzed. There were 1032 admissions (41%) that occurred in March and April 2020, and 1509 admissions (60%) in March and April 2019. The number of inpatients shrank by 27% in March and 37% in April of 2020, respectively, as compared with that in 2019. In total, 619 surgical patients who underwent orthopedic surgery were recorded. There were 261 patients (42%) undergoing orthopedic surgery in 2020 and 358 patients (58%) in 2019. The number of patients undergoing orthopedic surgery shrank by 35% in March and 18% in April of 2020, respectively, compared with that in 2019.

3.1.2. The University Hospital

In total, 22,800 outpatients were included. There were 9872 visits (43%) in March and April 2020, and 12,928 visits (57%) in March and April 2019. The amount of outpatient visits reduced by 22% in March and 26% in April during the study period, respectively, compared with that in 2019. In total, 5780 hospital admissions were analyzed. There were 2417 admissions (42%) that occurred in March and April 2020, and 3363 admissions (58%) in March and April 2019. The number of inpatients shrank by 22% in March and 35% in April of 2020, respectively, compared with that in 2019. In total, 1432 surgical patients who underwent orthopedic surgery were recorded. There were 591 patients (41%) undergoing orthopedic surgery in 2020 and 841 patients (59%) in 2019. The number of patients undergoing orthopedic surgery shrank by 26% in March and 34% in April of 2020, respectively, compared with that in 2019.

3.2. TKA

3.2.1. The Community Hospital

The total number of TKAs indicated a patient decrease from 71 in the control period to 28 (61% reduction) in the year of study. The mean age of patients in the study period (70.2 ± 6.6 years) was significantly younger (p = 0.044) than that in the control period (73.1 ± 6.4 years) for the full period (Table 1). No significant difference was found in the mean age between the two periods for the first and last 4 weeks. Sex ratios between the two periods differed insignificantly for the first and last 4 weeks and the full period (Table 1). The weekly number of TKAs in the study period was less than that in the control period, except for the 6th week (Figure 2b). The mean number of TKAs in the study periods was significantly less than that in 2019 for the first 4 weeks (p < 0.01), last 4 weeks (p < 0.05), and the full period (p < 0.001) (Figure 3b).

3.2.2. The University Hospital

The total number of TKAs indicated a patient decrease, that is, from 59 in the control period to 26 (56% reduction) in the study period. There were no significant differences between the two periods for the full period and the first and last 4 weeks regarding the mean age and sex ratio (Table 2). The weekly number of TKAs in the study period was less than that in the control period, except for the 1st and 6th weeks (Figure 4b). The mean number of TKAs in the study period was significantly less than that in 2019 for the full period (p < 0.05). However, no significant differences were observed for the first and last 4 weeks (Figure 5b).

3.3. THA

3.3.1. The Community Hospital

The total number of THAs indicated a patient decrease, that is, from 15 in the control period to 11 (27% reduction) in the study period. There were no significant differences between the two periods in the mean age and sex ratio for the first and last 4 weeks and the full period (Table 1). There was no consistent trend of changes in the weekly number of THAs between the two periods (Figure 2c). The mean number of patients in the first and last 4 weeks and the full period (Figure 3c) differed insignificantly.

3.3.2. The University Hospital

The total amount of THAs (17 patients) in the study period was similar to that (16 patients) in the control period. The mean age and sex ratio between the two periods differed insignificantly, except for the sex ratio (F/M = 14/3 for the study period and F/M = 8/8 for the control period, p = 0.049) for the full period (Table 2). There was no consistent trend of changes in the weekly number of THAs between the two periods (Figure 4c). The mean number of patients for the first and last 4 weeks and the full period differed insignificantly (Figure 5c).

3.4. Hemiarthroplasty

3.4.1. The Community Hospital

The total number of patients receiving hemiarthroplasty surgery (11 patients) in the study period was similar to that (10 patients) in the control period. The mean age and sex ratio differed insignificantly between the two periods (Table 1). There was no consistent trend of changes in the weekly number of hemiarthroplasties between the study and control periods (Figure 2d). The mean number of patients for the first and last 4 weeks and the full period differed insignificantly (Figure 3d).

3.4.2. The University Hospital

The total number of patients that received hemiarthroplasty surgery (19 patients) in the study period was similar to that (20 patients) in the control period. The mean age and sex ratio between the two periods differed insignificantly (Table 2). There was no consistent trend of changes in the weekly number of hemiarthroplasties between the two periods (Figure 4d). The mean number of TKAs for the first and last 4 weeks and the full period differed insignificantly (Figure 5d).

4. Discussion

This is the first study quantifying the initial impact of the COVID-19 pandemic on hip and knee arthroplasty conducted in different levels of hospitals in a country without any established restrictions. Generally, the results showed that the total numbers of outpatients, hospital admissions, and orthopedic surgeries in the period of the pandemic were patently less than the numbers in the previous year in March and April at the two hospitals. The two hospitals recorded a significant shrinkage in the average weekly number of patients undergoing elective surgery and all types of orthopedic surgery during the COVID-19 pandemic period in March. The university hospital experienced significantly less reduction on all types of orthopedic surgery than the community hospital in March.
For the entire period, the mean age of TKA patients was significantly younger during the COVID-19 pandemic period compared with the control period in the community hospital. However, this was not observed at the university hospital. The THA between the two periods regarding the age and number of the patients for the two hospitals differed insignificantly. The sex ratio for THA at the university hospital for the full period differed significantly. In other words, significantly more women received THA during the pandemic. However, the sample size of THAs was small, so we think this may be just a coincidence.
We found that the total number of TKAs had patently decreased by 56% and 61% for both hospitals during the COVID-19 pandemic period. Although Taiwan had successfully contained the COVID-19 outbreak, its impact seemed to reduce the patients’ willingness to receive TKA during this period. These patients were elderly. Consequently, a high rate of mortality and complications had been reported among patients receiving surgical procedures during the incubation period for this virus [49]. Moreover, these patients did not need to undergo urgent elective TKA surgery. The surgeons may ask these patients to consider postponing their surgeries during this period. This situation in the THA was unclear as the number of patients receiving THA was relatively small.
The community and the university hospital were at two different levels. The community hospital, unlike the university hospital, did not provide any standard negative pressure isolation rooms for the confirmed COVID-19 patients. During the study period, some patients diagnosed with COVID-19 had been admitted in negative pressure rooms in our university hospital. We expected that the patients who needed to receive TKA or THA surgery may fear contracting this virus at our university hospital, causing more patients to cancel their appointments during this period. Surprisingly, this situation seemed not to be observed in the university hospital, compared with the community hospital. This is an unexpected and interesting result, and we can only speculate that patients might have been more confident in the university hospital, which was able to do well in infection control and provide better personal protective equipment.
We observed that the mean age of patients undergoing TKAs was significantly younger in the COVID-19 pandemic period than that in the control period in the community hospital. This indicated that elderly patients may fear COVID-19 more and tended to cancel or postpone the TKA surgery during this pandemic. This result seemed reasonable as elderly patients were more vulnerable and were not easy to recover from this virus. The news media broadcasting that the elderly may have a higher mortality rate if infected may additionally cause psychological stress. However, this situation was not observed at the university hospital.
We speculated that there were some possible reasons for this COVID-19-related psychological fear. First, public panic may have stemmed from media misinformation or the exaggeration of rumors. Second, to some extent, the panic could have been due to concerns about the lack of personal protective equipment, such as masks or other medical resources. Third, some hospitals inevitably had to admit some confirmed COVID-19 patients, which would cause a lot of psychological pressure on other inpatients in the same hospital, and people would be worried about whether they would be infected after admission. As we observed, patients may have been afraid to seek timely treatment due to psychological factors. This delay might have negatively affected the treatment process of certain diseases and in turn, influenced the functional results.
This study had some limitations. First, the sample size of THAs was quite small, and the COVID-19 impact on THA seemed unobserved. The sex ratio difference of THAs between the study (significantly more female patients) and control periods might have been due to the limited sample size, or it might have been a coincidence. Second, we could not retrospectively retrieve or reproduce the reasons for people’s unwillingness to visit hospitals during the pandemic; further, we could not obtain information about whether the procedures were completely cancelled or just postponed at the patient’s request. Not interrogating the patients on these aspects using questionnaires may have led to overlooking some other factors. Therefore, any other factors that affected this remain unclear. Third, the detailed disease grading of each surgery was not included in our data; therefore, we could not ascertain whether there was any difference between the community hospital and the university hospital in terms of the spectrum of disease grading. Fourth, although this study presented a psychological impact, we had no further information to clarify which psychological factors were the key factors, or what the mechanisms of avoidance or fear were. We believed that understanding all these factors could help us formulate the best strategies to reduce the impact of a pandemic on hospitals; therefore, future studies could investigate the issues affecting people’s willingness.

5. Conclusions

The COVID-19 pandemic still inevitably had a significant impact on a country without lockdowns or restrictions, accompanied by a significant psychological impact, especially in the first wave. Taiwan could be one of the best places to analyze and quantify the pure psychological effects. In Taiwan, the TKA or elective surgery patients during the pandemic were significantly younger than the control group in the community hospital. The initial impact of the pandemic reduced older people’s desire to receive TKA or elective surgery. Although some confirmed COVID-19 patients had been admitted exclusively in the university hospital, the university hospital still experienced less impact by the COVID-19 pandemic than the community hospital. Further, elective surgery had significantly more impact than non-elective surgery. A drop in the number of hip and knee arthroplasty surgeries in non-restricted Taiwanese hospitals during the COVID-19 pandemic was attributable to patients’ fear. TKA was the most affected and the most reduced of all surgery types. Even without any established restrictions, the initial impact of the pandemic unavoidably led to a shrinkage of approximately 60% of the total TKA operation volume. The surgery scheduling strategies helped maintain the routine arthroplasty services.

Author Contributions

Conceptualization: C.-H.H.; Data curation: C.-H.H.; Formal analysis: C.-H.H.; Methodology: C.-H.H. and N.-C.H.; Writing—original draft: C.-H.H.; Writing—review and editing: N.-C.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was approved by the Institutional Review Board (IRB Number: KMUHIRB-EXEMPT(II)-20200020) of Kaohsiung Medical University Hospital.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the first author.

Acknowledgments

The authors would like to thank Chia-Lung Shih for statistical assistance. This study was partially supported by Kaohsiung Municipal Ta-Tung Hospital under grant no. KMTTH109-013.

Conflicts of Interest

The authors declare no conflict of interest.

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Jcm 10 05392 g001 550
Figure 1. Strategies for scheduling arthroplasty surgery implemented at university and community hospitals in Taiwan during the COVID-19 pandemic. Considering that Taiwan has successfully controlled community or local transmission, the triage has clearly reduced patients’ fear and maintained the routine arthroplasty services. At the beginning of the pandemic, due to limited capacity and speed of the COVID-19 Rapid Test and RT-PCR, these strategies were used only for scheduling all elective surgeries, including arthroplasty surgeries. As the capacity and speed of the COVID-19 Rapid Test and RT-PCR gradually increased, all other types of surgery could also be applied.
Figure 1. Strategies for scheduling arthroplasty surgery implemented at university and community hospitals in Taiwan during the COVID-19 pandemic. Considering that Taiwan has successfully controlled community or local transmission, the triage has clearly reduced patients’ fear and maintained the routine arthroplasty services. At the beginning of the pandemic, due to limited capacity and speed of the COVID-19 Rapid Test and RT-PCR, these strategies were used only for scheduling all elective surgeries, including arthroplasty surgeries. As the capacity and speed of the COVID-19 Rapid Test and RT-PCR gradually increased, all other types of surgery could also be applied.
Jcm 10 05392 g001
Jcm 10 05392 g002 550
Figure 2. Weekly number of patients receiving the (a) total types of surgery, (b) total knee arthroplasty, (c) total hip arthroplasty, (d) hemiarthroplasty, (e) emergency surgery, and (f) elective surgery at the community hospital during the study (2020) and control (2019) periods.
Figure 2. Weekly number of patients receiving the (a) total types of surgery, (b) total knee arthroplasty, (c) total hip arthroplasty, (d) hemiarthroplasty, (e) emergency surgery, and (f) elective surgery at the community hospital during the study (2020) and control (2019) periods.
Jcm 10 05392 g002
Jcm 10 05392 g003 550
Figure 3. Box plots of the number of patients receiving the (a) total types of surgery, (b) total knee arthroplasty, (c) total hip arthroplasty, (d) hemiarthroplasty, (e) emergency surgery, and (f) elective surgery at the community hospital during the study (2020) and control (2019) periods. * indicates p < 0.05. ** indicates p < 0.01. *** indicates p < 0.001. “NS” indicates insignificant.
Figure 3. Box plots of the number of patients receiving the (a) total types of surgery, (b) total knee arthroplasty, (c) total hip arthroplasty, (d) hemiarthroplasty, (e) emergency surgery, and (f) elective surgery at the community hospital during the study (2020) and control (2019) periods. * indicates p < 0.05. ** indicates p < 0.01. *** indicates p < 0.001. “NS” indicates insignificant.
Jcm 10 05392 g003
Jcm 10 05392 g004 550
Figure 4. Weekly number of patients receiving the (a) total types of surgery, (b) total knee arthroplasty, (c) total hip arthroplasty, (d) hemiarthroplasty, (e) emergency surgery, and (f) elective surgery at the university hospital during the study (2020) and control (2019) periods.
Figure 4. Weekly number of patients receiving the (a) total types of surgery, (b) total knee arthroplasty, (c) total hip arthroplasty, (d) hemiarthroplasty, (e) emergency surgery, and (f) elective surgery at the university hospital during the study (2020) and control (2019) periods.
Jcm 10 05392 g004
Jcm 10 05392 g005 550
Figure 5. Box plots of the number of patients receiving (a) total types of surgery, (b) total knee arthroplasty, (c) total hip arthroplasty, (d) hemiarthroplasty, (e) emergency surgery, and (f) elective surgery at the university hospital during the study (2020) and control (2019) periods. * indicates p < 0.05. ** indicates p < 0.01. *** indicates p < 0.001. “NS” indicates insignificant.
Figure 5. Box plots of the number of patients receiving (a) total types of surgery, (b) total knee arthroplasty, (c) total hip arthroplasty, (d) hemiarthroplasty, (e) emergency surgery, and (f) elective surgery at the university hospital during the study (2020) and control (2019) periods. * indicates p < 0.05. ** indicates p < 0.01. *** indicates p < 0.001. “NS” indicates insignificant.
Jcm 10 05392 g005
Table
Table 1. Major characteristics of patients receiving total knee arthroplasty, total hip arthroplasty, or hemiarthroplasty surgery at the community hospital during the study (2020) and control (2019) periods; ** p ≤ 0.01, * p ≤ 0.05.
Table 1. Major characteristics of patients receiving total knee arthroplasty, total hip arthroplasty, or hemiarthroplasty surgery at the community hospital during the study (2020) and control (2019) periods; ** p ≤ 0.01, * p ≤ 0.05.
20202019 20202019 20202019
1–4 Weeksp-Value5–8 Weeksp-Value1–8 Weeksp-Value
All types of surgery
Age59.5 ± 18.062.1 ± 17.20.20056.9 ± 18.661.5 ± 18.40.048 *58.3 ± 18.361.8 ± 17.70.019 *
Sex (F/M)118/7079/440.79473/4097/480.700152/84215/1180.969
Total knee arthroplasty
Age70.1 ± 7.172.5 ± 6.80.24570.3 ± 6.274.0 ± 5.90.08070.2 ± 6.673.1 ± 6.40.044 *
Sex (F/M)13/332/80.9159/326/50.50322/658/130.723
Total hip arthroplasty
Age61.9 ± 14.362.3 ± 7.90.93856.5 ± 3.553.8 ± 12.00.77860.9 ± 13.059.5 ± 9.90.751
Sex (F/M)6/34/60.2452/04/10.4958/38/70.315
Hemiarthroplasty
Age79.6 ± 8.677.0 ± 11.10.64072.3 ± 12.478.2 ± 5.30.34777.6 ± 9.777.6 ± 8.20.993
Sex (F/M)5/34/10.5062/11/40.1877/45/50.528
Emergency surgery
Age60.1 ± 17.556.7 ± 23.00.54054.5 ± 22.557.6 ± 19.00.59757.9 ± 19.657.2 ± 20.60.863
Sex (F/M)17/1515/80.37013/716/120.58330/2231/200.750
Elective surgery
Age59.2 ± 18.162.8 ± 16.20.10757.5 ± 17.762.5 ± 18.20.047 *58.3 ± 17.962.7 ± 17.00.009 **
Sex (F/M)62/29103/620.36160/3381/390.470122/62184/980.814
The bold type indicates a significant difference. Note that these categories of surgeries were not mutually exclusive.
Table
Table 2. Major characteristics of patients receiving total knee arthroplasty, total hip arthroplasty, or hemiarthroplasty surgery at the university hospital during the study (2020) and control (2019) periods; * p ≤ 0.05.
Table 2. Major characteristics of patients receiving total knee arthroplasty, total hip arthroplasty, or hemiarthroplasty surgery at the university hospital during the study (2020) and control (2019) periods; * p ≤ 0.05.
20202019 20202019 20202019
1–4 Weeksp-Value5–8 Weeksp-Value1–8 Weeksp-Value
All types of surgery
Age49.2 ± 21.353.0 ± 20.50.017 *50.8 ± 20.652.2 ± 20.30.38249.9 ± 21.052.6 ± 20.40.018 *
Sex (F/M)152/141229/1700.245127/117164/2000.091279/258393/3700.695
Total knee arthroplasty
Age70.1 ± 6.270.2 ± 8.80.96873.4 ± 7.672.4 ± 7.40.73471.4 ± 6.871.1 ± 8.30.872
Sex (F/M)13/328/80.7777/316/70.98020/644/150.817
Total hip arthroplasty
Age60.6 ± 20.353.3 ± 15.60.44868.1 ± 9.661.2 ± 19.20.37364.1 ± 16.257.8 ± 17.60.288
Sex (F/M)7/23/40.1527/15/40.14914/38/80.049 *
Hemiarthroplasty
Age77.3 ± 6.580.5 ± 11.60.45777.4 ± 9.776.8 ± 9.00.89877.8 ± 7.978.7 ± 10.30.786
Sex (F/M)7/35/50.3615/38/20.41013/613/70.821
Emergency surgery
Age48.5 ± 23.355.6 ± 21.60.034 *48.6 ± 21.249.4 ± 23.80.81148.5 ± 22.252.7 ± 22.80.084
Sex (F/M)41/4057/480.60232/4736/560.85573/8793/1040.638
Elective surgery
Age49.4 ± 20.652.1 ± 20.00.14651.8 ± 20.353.2 ± 18.90.47050.5 ± 20.552.6 ± 19.50.104
Sex (F/M)111/101172/1220.1795/70128/1440.033206/171300/2660.621
The bold type indicates a significant difference. Note that these categories of surgeries were not mutually exclusive.
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Hsu, C.-H.; Hsu, N.-C. Impact and Strategies on Joint Surgery Centers without Lockdowns during the Peak of the COVID-19 Pandemic: A Multicenter Cross-Sectional Study. J. Clin. Med. 2021, 10, 5392. https://doi.org/10.3390/jcm10225392

AMA Style

Hsu C-H, Hsu N-C. Impact and Strategies on Joint Surgery Centers without Lockdowns during the Peak of the COVID-19 Pandemic: A Multicenter Cross-Sectional Study. Journal of Clinical Medicine. 2021; 10(22):5392. https://doi.org/10.3390/jcm10225392

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Hsu, Chia-Hao, and Nin-Chieh Hsu. 2021. "Impact and Strategies on Joint Surgery Centers without Lockdowns during the Peak of the COVID-19 Pandemic: A Multicenter Cross-Sectional Study" Journal of Clinical Medicine 10, no. 22: 5392. https://doi.org/10.3390/jcm10225392

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