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  1. Article ; Online: Waiting during the time of COVID-19.

    Andits, Petra

    Social anthropology : the journal of the European Association of Social Anthropologists = Anthropologie sociale

    2020  Volume 28, Issue 2, Page(s) 220–221

    Keywords covid19
    Language English
    Publishing date 2020-05-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2001972-5
    ISSN 1469-8676 ; 0964-0282
    ISSN (online) 1469-8676
    ISSN 0964-0282
    DOI 10.1111/1469-8676.12871
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  2. Article ; Online: Pediatric Heart Transplant Waiting List Times in the US During the COVID-19 Pandemic.

    Iguidbashian, John / Yoeli, Dor / Everitt, Melanie D / Campbell, David N / Mitchell, Max B / Jaggers, James / Stone, Matthew L

    JAMA network open

    2022  Volume 5, Issue 10, Page(s) e2234874

    MeSH term(s) COVID-19 ; Child ; Heart Transplantation ; Humans ; Pandemics ; Tissue and Organ Procurement ; Waiting Lists
    Language English
    Publishing date 2022-10-03
    Publishing country United States
    Document type Journal Article
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2022.34874
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Waiting during the time of COVID‐19

    Andits, Petra

    2020  

    Keywords COVID-19 ; waiting ; Settore BIO/08 - Antropologia ; covid19
    Publishing country it
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Waiting during the time of COVID‐19

    Andits, Petra

    Social Anthropology

    2020  Volume 28, Issue 2, Page(s) 220–221

    Keywords Arts and Humanities (miscellaneous) ; Sociology and Political Science ; Developmental and Educational Psychology ; Anthropology ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2001972-5
    ISSN 1469-8676 ; 0964-0282
    ISSN (online) 1469-8676
    ISSN 0964-0282
    DOI 10.1111/1469-8676.12871
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: The Risk Of Waiting Up To One Year For Cardiac Surgery.

    Madeira, Márcio / Neves, Jose / Nolasco, Tiago / Marques, Marta / Abecasis, Miguel / Sousa-Uva, Miguel

    Portuguese journal of cardiac thoracic and vascular surgery

    2024  Volume 31, Issue 1, Page(s) 17–22

    Abstract: ... and by comorbidities. The waiting time for surgery begins with the onset of symptoms and includes ... with significantly different SWL mean times between groups (p<0.001). The overall mean waiting time was 167 ± 135 ... either by increasing waiting time or by direct mortality. Since risk stratification is not entirely accurate, waiting ...

    Abstract Introduction: Cardiac disease is associated with a risk of death, both by the cardiac condition and by comorbidities. The waiting time for surgery begins with the onset of symptoms and includes referral, completion of the diagnosis and surgical waiting list (SWL). This study was conducted during the COVID-19 pandemic, which affected surgical capacity and patients' morbidities.
    Methods: The cohort includes 1914 consecutive adult patients (36.6% women, mean age 67 ±11 years), prospectively registered in the official SWL from January 2019 to December 2021. We analyzed waiting times ranging from 4 days to one year to exclude urgencies and outliers. Priority was classified by the national criteria for non-oncologic or oncology surgery.
    Results: During the study period, 74% of patients underwent surgery, 19.2% were still waiting, and 4.3% dropped out. Most cases were valvular (41.2%) or isolated bypass procedures (34.2%). Patients were classified as non-priority in 29.7%, priority in 61.8%, and high priority in 8.6%, with significantly different SWL mean times between groups (p<0.001). The overall mean waiting time was 167 ± 135 days. Mortality on SWL was 2.5%, or 1.1 deaths per patient/weeks. There were two mortality independent predictors: age (HR 1.05) and the year 2021 versus 2019 (HR 2.07) and a trend toward higher mortality in priority patients versus non-priority (p=0.065). The overall risk increased with time with different slopes for each year. Using the time limits for SWL in oncology, there would have been a significant risk reduction (p=0.011).
    Conclusion: The increased risk observed in 2021 may be related to the pandemic, either by increasing waiting time or by direct mortality. Since risk stratification is not entirely accurate, waiting time emerges as the most crucial factor influencing mortality, and implementing stricter time limits could have led to lower mortality rates.
    MeSH term(s) Humans ; Female ; Waiting Lists/mortality ; Male ; COVID-19/epidemiology ; Aged ; Cardiac Surgical Procedures/mortality ; Middle Aged ; Heart Diseases/surgery ; Heart Diseases/mortality ; Heart Diseases/epidemiology ; SARS-CoV-2 ; Time Factors ; Risk Assessment ; Pandemics ; Time-to-Treatment/statistics & numerical data
    Language English
    Publishing date 2024-05-13
    Publishing country Portugal
    Document type Journal Article
    ISSN 2184-9927
    ISSN 2184-9927
    DOI 10.48729/pjctvs.422
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Waiting to vote safely: How Covid-19 safety measures shaped in-person voter wait times during the 2020 election.

    Coll, Joseph

    Social science quarterly

    2022  Volume 103, Issue 2, Page(s) 380–398

    Abstract: ... an additive index.: Conclusion: Covid safety features likely increased voter wait times during the 2020 U.S ... wait times during the 2020 U.S. election.: Methods: Multinomial logistic regression models ... predicting voter wait times contingent on the presence of Covid safety measures: poll workers wearing face ...

    Abstract Objective: The aim of this article is to assess the impact of Covid-19 safety measures on voter wait times during the 2020 U.S. election.
    Methods: Multinomial logistic regression models predicting voter wait times contingent on the presence of Covid safety measures: poll workers wearing face coverings, protective barriers separating voters and workers, voters and booths socially distanced, hand sanitizer, single-use ballot marking pens, and cleaning voting booths between voters, as well as an additive index of these measures.
    Results: Findings suggest Covid-safety measures significantly affected voter wait times. Effects vary by Covid safety feature, with face coverings, barriers, social distancing, and cleaning booths increasing voter wait times (typically around 10-30 min), single-use pens decreasing voter wait times, and hand sanitizer having no effect. Results are further confirmed using an additive index.
    Conclusion: Covid safety features likely increased voter wait times during the 2020 U.S. election, potentially accounting for a portion of the increased voter wait time, compared to previous elections.
    Language English
    Publishing date 2022-03-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2130790-8
    ISSN 1540-6237 ; 0038-4941
    ISSN (online) 1540-6237
    ISSN 0038-4941
    DOI 10.1111/ssqu.13124
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Dynamic monitoring revealed a slightly prolonged waiting time for total gastrectomy during the COVID-19 pandemic without increasing the short-term complications.

    Zheng, Xiaohao / Ding, Shikang / Wu, Ming / Sun, Chunyang / Wu, Yunzi / Wang, Shenghui / Du, Yongxing / Yang, Lin / Xue, Liyan / Wang, Bingzhi / Wang, Chengfeng / Cui, Wei / Xie, Yibin

    Frontiers in oncology

    2022  Volume 12, Page(s) 944602

    Abstract: ... waiting time for a total gastrectomy. We observed a slightly longer waiting time during the pandemic ... gastrectomy before and during the coronavirus disease 2019 (COVID-19) pandemic. Overlaid line graphs were used ...

    Abstract We aimed to determine the pattern of delay and its effect on the short-term outcomes of total gastrectomy before and during the coronavirus disease 2019 (COVID-19) pandemic. Overlaid line graphs were used to visualize the dynamic changes in the severity of the pandemic, number of gastric cancer patients, and waiting time for a total gastrectomy. We observed a slightly longer waiting time during the pandemic (median: 28.00 days, interquartile range: 22.00-34.75) than before the pandemic (median: 25.00 days, interquartile range: 18.00-34.00;
    Language English
    Publishing date 2022-08-31
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.944602
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The Effect of Pandemic on Lung Cancer Waiting Time - Tertiary Center Experience.

    Qsous, Ghaith / Korelidis, George / Vianna, Thabbta / Chambers, Anthony / Will, Malcolm / Zamvar, Vipin

    Asian Pacific journal of cancer prevention : APJCP

    2024  Volume 25, Issue 5, Page(s) 1643–1647

    Abstract: ... of surgery amongst lung cancer patients showed improvement during the COVID-19 pandemic. This is likely due ... the outcomes in patients who are diagnosed with lung cancer. Many factors can affect the waiting time ... waiting time between the referral from the GP to the date of surgery in the three groups was 88.5 days, 81 ...

    Abstract Background: Early diagnosis and treatment of lung cancer are crucial to improve the survival and the outcomes in patients who are diagnosed with lung cancer. Many factors can affect the waiting time for lung cancer treatment, however, the corona virus disease 2019 (COVID-19) was one of the major factors that universally slowed down clinical activities in the last three years. We are aiming with this study to demonstrate how this pandemic and other factors affected the lung cancer waiting times for diagnosis and treatment.
    Methods: This is a retrospective study including 670 patients who were diagnosed with lung cancer within the NHS Lothian region of Edinburgh - Scotland between March 2019 and November 2023. One hundred patients underwent curative lung resection. Patients were categorised into three groups for sub analysis. The first group included patients diagnosed before the COVID-19 pandemic, the second group included patients diagnosed during the pandemic in 2020, and the third group represents those diagnosed after the mass vaccination program was established and until November 2023.
    Results: The average waiting time between the referral from the GP to the date of surgery in the three groups was 88.5 days, 81 days, and 83.5 days, respectively. On the other hand, the waiting times elapsing between the first surgical clinic appointment and the date of the surgery itself were 17.6 days, 18.6 days, and 21.5 days, respectively.
    Conclusion: Unexpectedly waiting times elapsing between the referral to surgery and the date of surgery amongst lung cancer patients showed improvement during the COVID-19 pandemic. This is likely due to prioritizing cancer patients. Nevertheless, actions should be considered to decrease the waiting times in general.
    MeSH term(s) Humans ; COVID-19/epidemiology ; Lung Neoplasms/surgery ; Lung Neoplasms/epidemiology ; Lung Neoplasms/therapy ; Retrospective Studies ; Male ; Female ; Tertiary Care Centers ; Time-to-Treatment/statistics & numerical data ; Aged ; SARS-CoV-2 ; Middle Aged ; Waiting Lists ; Scotland/epidemiology ; Referral and Consultation/statistics & numerical data ; Pandemics
    Language English
    Publishing date 2024-05-01
    Publishing country Thailand
    Document type Journal Article
    ZDB-ID 2218955-5
    ISSN 2476-762X ; 1513-7368
    ISSN (online) 2476-762X
    ISSN 1513-7368
    DOI 10.31557/APJCP.2024.25.5.1643
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Surgical waiting lists and queue management in a Brazilian tertiary public hospital.

    Pazin-Filho, Antonio / do Valle Dallora, Maria Eulália Lessa / Velasco, Tonicarlo Rodrigues / Cardoso Dos Santos, Roberto de Oliveira / Volpe, Gustavo Jardim / Moroço, Diego Marques / de Souza, Danilo Arruda / Canabrava, Claudia Marques / Garcia, Luis Vicente / Joviliano, Edwaldo Edner / Maciel, Benedito Carlos

    BMC health services research

    2024  Volume 24, Issue 1, Page(s) 290

    Abstract: ... during the COVID-19 Pandemic.: Methods: Retrospective observational study of elective surgical ... Background: Centralized management of queues helps to reduce the surgical waiting time ... public tertiary hospital, the impact on waiting time, and its use in rationing oncological surgeries ...

    Abstract Background: Centralized management of queues helps to reduce the surgical waiting time in the publicly funded healthcare system, but this is not a reality in the Brazilian Unified Healthcare System (BUHS). We describe the implementation of the "Patients with Surgical Indication" (PSI) in a Brazilian public tertiary hospital, the impact on waiting time, and its use in rationing oncological surgeries during the COVID-19 Pandemic.
    Methods: Retrospective observational study of elective surgical requests (2016-2022) in a Brazilian general, public, tertiary university hospital. We recovered information regarding the inflows (indications), outflows and their reasons, the number of patients, and waiting time in queue.
    Results: We enrolled 82,844 indications in the PSI (2016-2022). The waiting time (median and interquartile range) in days decreased from 98(48;168) in 2016 to 14(3;152) in 2022 (p < 0.01). The same occurred with the backlog that ranged from 6,884 in 2016 to 844 in 2022 (p < 001). During the Pandemic, there was a reduction in the number of non-oncological surgeries per month (95% confidence interval) of -10.9(-18.0;-3.8) during Phase I (January 2019-March 2020), maintenance in Phase II (April 2020-August 2021) 0.1(-10.0;10.4) and increment in Phase III (September 2021-December 2022) of 23.0(15.3;30.8). In the oncological conditions, these numbers were 0.6(-2.1;3.3) for Phase I, an increase of 3.2(0.7;5.6) in Phase II and 3.9(1,4;6,4) in Phase III.
    Conclusion: Implementing a centralized list of surgical indications and developing queue management principles proved feasible, with effective rationing. It unprecedentedly demonstrated the decrease in the median waiting time in Brazil.
    MeSH term(s) Humans ; Brazil/epidemiology ; Elective Surgical Procedures ; Hospitals, Public ; Pandemics ; Waiting Lists ; Retrospective Studies
    Language English
    Publishing date 2024-03-06
    Publishing country England
    Document type Observational Study ; Journal Article
    ZDB-ID 2050434-2
    ISSN 1472-6963 ; 1472-6963
    ISSN (online) 1472-6963
    ISSN 1472-6963
    DOI 10.1186/s12913-024-10735-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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