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Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey

OBJECTIVES: To investigate factors associated with hospital length of stay (LOS) in patients admitted with suspected malaria using a competing risk approach. SETTING: County government referrals and major faith-based hospitals in Kenya in 2018. DESIGN: Secondary analysis of a cross-sectional survey...

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Autores principales: Machini, Beatrice, Achia, Thomas N O, Kipruto, Hillary, Amboko, Beatrice, Chesang, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214361/
https://www.ncbi.nlm.nih.gov/pubmed/35725248
http://dx.doi.org/10.1136/bmjopen-2021-059263
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author Machini, Beatrice
Achia, Thomas N O
Kipruto, Hillary
Amboko, Beatrice
Chesang, Jacqueline
author_facet Machini, Beatrice
Achia, Thomas N O
Kipruto, Hillary
Amboko, Beatrice
Chesang, Jacqueline
author_sort Machini, Beatrice
collection PubMed
description OBJECTIVES: To investigate factors associated with hospital length of stay (LOS) in patients admitted with suspected malaria using a competing risk approach. SETTING: County government referrals and major faith-based hospitals in Kenya in 2018. DESIGN: Secondary analysis of a cross-sectional survey data. PARTICIPANTS: Data were extracted from 2396 medical records of patients admitted with suspected malaria at 90 hospitals. OUTCOME MEASURES: LOS, defined as time to discharge, was the primary event of interest, and time to death was the competing event against patient factors assessed during admission and hospitalisation. RESULTS: Among the patients analysed, 2283 were discharged, 49 died and 64 were censored. The median LOS was 4 days (IQR: 3–6 days). The cumulative incidence of discharge significantly decreased (p<0.05) by 12.7% (subdistribution-HR (SDHR): 0.873; 95% CI 0.789 to 0.967) when the respiratory rate was assessed, by 14.1% (SDHR 0.859; 95% CI 0.754 to 0.978) when oxygen saturation was monitored, by 23.1% (SDHR 0.769; 95% CI 0.709 to 0.833) and 23.4% (SDHR 0.766; 95% CI 0.704 to 0.833) when haemoglobin/haematocrit and glucose/random blood sugar were performed, respectively, and by 30.4% (SDHR 0.696; 95% CI 0.626 to 0.774) when patients had at least one clinical feature of severe malaria. Conversely, patients with confirmed severe malaria and those treated with injectable artesunate had a significantly increased cumulative incidence of discharge by 21.4% (SDHR 1.214; 95% CI 1.082 to 1.362) and 33.9% (SDHR 1.339; 95% CI 1.184 to 1.515), respectively. CONCLUSIONS: Factors of inpatient clinical processes that influence hospital LOS were identified. These can be targeted during quality improvement interventions to enhance health service delivery in Kenya. Early recognition and appropriate management of the signs of malaria severity could greatly affect beneficial outcomes. Strengthening clinical practices and nursing care according to national case management guidelines should be a priority for malaria control managers in Kenya.
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spelling pubmed-92143612022-07-07 Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey Machini, Beatrice Achia, Thomas N O Kipruto, Hillary Amboko, Beatrice Chesang, Jacqueline BMJ Open Public Health OBJECTIVES: To investigate factors associated with hospital length of stay (LOS) in patients admitted with suspected malaria using a competing risk approach. SETTING: County government referrals and major faith-based hospitals in Kenya in 2018. DESIGN: Secondary analysis of a cross-sectional survey data. PARTICIPANTS: Data were extracted from 2396 medical records of patients admitted with suspected malaria at 90 hospitals. OUTCOME MEASURES: LOS, defined as time to discharge, was the primary event of interest, and time to death was the competing event against patient factors assessed during admission and hospitalisation. RESULTS: Among the patients analysed, 2283 were discharged, 49 died and 64 were censored. The median LOS was 4 days (IQR: 3–6 days). The cumulative incidence of discharge significantly decreased (p<0.05) by 12.7% (subdistribution-HR (SDHR): 0.873; 95% CI 0.789 to 0.967) when the respiratory rate was assessed, by 14.1% (SDHR 0.859; 95% CI 0.754 to 0.978) when oxygen saturation was monitored, by 23.1% (SDHR 0.769; 95% CI 0.709 to 0.833) and 23.4% (SDHR 0.766; 95% CI 0.704 to 0.833) when haemoglobin/haematocrit and glucose/random blood sugar were performed, respectively, and by 30.4% (SDHR 0.696; 95% CI 0.626 to 0.774) when patients had at least one clinical feature of severe malaria. Conversely, patients with confirmed severe malaria and those treated with injectable artesunate had a significantly increased cumulative incidence of discharge by 21.4% (SDHR 1.214; 95% CI 1.082 to 1.362) and 33.9% (SDHR 1.339; 95% CI 1.184 to 1.515), respectively. CONCLUSIONS: Factors of inpatient clinical processes that influence hospital LOS were identified. These can be targeted during quality improvement interventions to enhance health service delivery in Kenya. Early recognition and appropriate management of the signs of malaria severity could greatly affect beneficial outcomes. Strengthening clinical practices and nursing care according to national case management guidelines should be a priority for malaria control managers in Kenya. BMJ Publishing Group 2022-06-20 /pmc/articles/PMC9214361/ /pubmed/35725248 http://dx.doi.org/10.1136/bmjopen-2021-059263 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Machini, Beatrice
Achia, Thomas N O
Kipruto, Hillary
Amboko, Beatrice
Chesang, Jacqueline
Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey
title Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey
title_full Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey
title_fullStr Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey
title_full_unstemmed Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey
title_short Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey
title_sort factors associated with hospital length of stay in patients admitted with suspected malaria in kenya: secondary analysis of a cross-sectional survey
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214361/
https://www.ncbi.nlm.nih.gov/pubmed/35725248
http://dx.doi.org/10.1136/bmjopen-2021-059263
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