An analysis of length of hospital stay of COVID-19 patients admitted in a dedicated COVID-19 hospital
Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has placed an unprecedented strain on Indian healthcare systems, with rapidly increasing demand for life-saving equipment and intensive care unit beds. The present study presents an analysis of average length of stay (LOS) as per d...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2021-01-01
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| Series: | Journal of Marine Medical Society |
| Subjects: | |
| Online Access: | http://www.marinemedicalsociety.in/article.asp?issn=0975-3605;year=2021;volume=23;issue=2;spage=145;epage=148;aulast=Maj |
| _version_ | 1818838620135489536 |
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| author | Aayush Maj Saurabh Bobdey Surinder Kumar Rajesh Sahu Rohit Vashisht Vijay Bhaskar D S Faujdar Arun Kumar Yadav S K Kaushik S S Bhatia |
| author_facet | Aayush Maj Saurabh Bobdey Surinder Kumar Rajesh Sahu Rohit Vashisht Vijay Bhaskar D S Faujdar Arun Kumar Yadav S K Kaushik S S Bhatia |
| author_sort | Aayush Maj |
| collection | DOAJ |
| description | Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has placed an unprecedented strain on Indian healthcare systems, with rapidly increasing demand for life-saving equipment and intensive care unit beds. The present study presents an analysis of average length of stay (LOS) as per different demographic and clinical factors in a dedicated COVID hospital. As the pandemic escalates, average LOS in COVID hospital will form the basis of determining the optimum requirement for healthcare resources (beds, staff, and equipment), which is a key priority for bolstering a strong public health response against COVID-19. Materials and Methods: Using the medical records at a dedicated COVID-19 hospital, the demographic details and select clinical characteristics of 342 admitted patients (from July 13, 2020, to August 30, 2020) were abstracted. Hospital LOS, calculated from the actual admission and discharge dates, was compared within the categories of demographic and clinical characteristics using Student's test and analysis of variance. SPSS version 20 was used for descriptive as well as inferential statistics. Results: The mean LOS was 9.93 ± 4.45 days with a range of 3–37 days. LOS increased with increasing age, with maximum being for >61 years (12.69 ± 7.14) and minimum for the younger age category of <40 years (8.88 ± 1.95) (P = 0.001). As COVID-19 severity increased, LOS increased, with longest being for severe patients (25.59 ± 7.30) and shortest being for Mild patients (8.74 ± 1.80) (P = 0.001). LOS was also longer for patients having multiple comorbidities (13.00 ± 7.96) and shortest for those with no comorbidities (9.33 ± 2.96) (P = 0.001). Conclusion: LOS is significantly affected by age, severity, and comorbidities. The actual duration and factors influencing LOS are crucial for health administrators and policymakers to better allocate the already scarce health resources. |
| first_indexed | 2024-12-19T03:41:17Z |
| format | Article |
| id | doaj.art-e1f6b75eb46d4d50aea4d57fb68a4600 |
| institution | Directory Open Access Journal |
| issn | 0975-3605 |
| language | English |
| last_indexed | 2024-12-19T03:41:17Z |
| publishDate | 2021-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Marine Medical Society |
| spelling | doaj.art-e1f6b75eb46d4d50aea4d57fb68a46002022-12-21T20:37:13ZengWolters Kluwer Medknow PublicationsJournal of Marine Medical Society0975-36052021-01-0123214514810.4103/jmms.jmms_156_20An analysis of length of hospital stay of COVID-19 patients admitted in a dedicated COVID-19 hospitalAayush MajSaurabh BobdeySurinder KumarRajesh SahuRohit VashishtVijay BhaskarD S FaujdarArun Kumar YadavS K KaushikS S BhatiaBackground: The ongoing coronavirus disease 2019 (COVID-19) pandemic has placed an unprecedented strain on Indian healthcare systems, with rapidly increasing demand for life-saving equipment and intensive care unit beds. The present study presents an analysis of average length of stay (LOS) as per different demographic and clinical factors in a dedicated COVID hospital. As the pandemic escalates, average LOS in COVID hospital will form the basis of determining the optimum requirement for healthcare resources (beds, staff, and equipment), which is a key priority for bolstering a strong public health response against COVID-19. Materials and Methods: Using the medical records at a dedicated COVID-19 hospital, the demographic details and select clinical characteristics of 342 admitted patients (from July 13, 2020, to August 30, 2020) were abstracted. Hospital LOS, calculated from the actual admission and discharge dates, was compared within the categories of demographic and clinical characteristics using Student's test and analysis of variance. SPSS version 20 was used for descriptive as well as inferential statistics. Results: The mean LOS was 9.93 ± 4.45 days with a range of 3–37 days. LOS increased with increasing age, with maximum being for >61 years (12.69 ± 7.14) and minimum for the younger age category of <40 years (8.88 ± 1.95) (P = 0.001). As COVID-19 severity increased, LOS increased, with longest being for severe patients (25.59 ± 7.30) and shortest being for Mild patients (8.74 ± 1.80) (P = 0.001). LOS was also longer for patients having multiple comorbidities (13.00 ± 7.96) and shortest for those with no comorbidities (9.33 ± 2.96) (P = 0.001). Conclusion: LOS is significantly affected by age, severity, and comorbidities. The actual duration and factors influencing LOS are crucial for health administrators and policymakers to better allocate the already scarce health resources.http://www.marinemedicalsociety.in/article.asp?issn=0975-3605;year=2021;volume=23;issue=2;spage=145;epage=148;aulast=Majcoronavirus disease 2019demographicslength of staysevere acute respiratory syndrome coronavirus 2 |
| spellingShingle | Aayush Maj Saurabh Bobdey Surinder Kumar Rajesh Sahu Rohit Vashisht Vijay Bhaskar D S Faujdar Arun Kumar Yadav S K Kaushik S S Bhatia An analysis of length of hospital stay of COVID-19 patients admitted in a dedicated COVID-19 hospital Journal of Marine Medical Society coronavirus disease 2019 demographics length of stay severe acute respiratory syndrome coronavirus 2 |
| title | An analysis of length of hospital stay of COVID-19 patients admitted in a dedicated COVID-19 hospital |
| title_full | An analysis of length of hospital stay of COVID-19 patients admitted in a dedicated COVID-19 hospital |
| title_fullStr | An analysis of length of hospital stay of COVID-19 patients admitted in a dedicated COVID-19 hospital |
| title_full_unstemmed | An analysis of length of hospital stay of COVID-19 patients admitted in a dedicated COVID-19 hospital |
| title_short | An analysis of length of hospital stay of COVID-19 patients admitted in a dedicated COVID-19 hospital |
| title_sort | analysis of length of hospital stay of covid 19 patients admitted in a dedicated covid 19 hospital |
| topic | coronavirus disease 2019 demographics length of stay severe acute respiratory syndrome coronavirus 2 |
| url | http://www.marinemedicalsociety.in/article.asp?issn=0975-3605;year=2021;volume=23;issue=2;spage=145;epage=148;aulast=Maj |
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