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Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model

OBJECTIVES: To quantify population-level health and economic consequences of sick leave among workers with influenza symptoms. INTERVENTIONS: Compared with current sick leave practice (baseline), we evaluated the health and cost consequences of: (1) increasing the proportion of workers on sick leave...

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Autores principales: Edwards, Christina Hansen, Tomba, Gianpaolo Scalia, Sonbo Kristiansen, Ivar, White, Richard, de Blasio, Birgitte Freiesleben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500216/
https://www.ncbi.nlm.nih.gov/pubmed/30948617
http://dx.doi.org/10.1136/bmjopen-2018-027832
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author Edwards, Christina Hansen
Tomba, Gianpaolo Scalia
Sonbo Kristiansen, Ivar
White, Richard
de Blasio, Birgitte Freiesleben
author_facet Edwards, Christina Hansen
Tomba, Gianpaolo Scalia
Sonbo Kristiansen, Ivar
White, Richard
de Blasio, Birgitte Freiesleben
author_sort Edwards, Christina Hansen
collection PubMed
description OBJECTIVES: To quantify population-level health and economic consequences of sick leave among workers with influenza symptoms. INTERVENTIONS: Compared with current sick leave practice (baseline), we evaluated the health and cost consequences of: (1) increasing the proportion of workers on sick leave from 65% (baseline) to 80% or 90%; (2) shortening the maximum duration from symptom onset to sick leave from 4 days (baseline) to 2 days, 1.5 days, 1 day and 0.5 days; and (3) combinations of 1 and 2. METHODS: A dynamic compartmental influenza model was developed using Norwegian population data and survey data on employee sick leave practices. The sick leave interventions were simulated under 12 different seasonal epidemic and 36 different pandemic influenza scenarios. These scenarios varied in terms of transmissibility, the proportion of symptomatic cases and illness severity (risk of primary care consultations, hospitalisations and deaths). Using probabilistic sensitivity analyses, a net health benefit approach was adopted to assess the cost-effectiveness of the interventions from a societal perspective. RESULTS: Compared with current sick leave practice, sick leave interventions were cost-effective for 31 (65%) of the pandemic scenarios, and 11 (92%) of the seasonal scenarios. Economic benefits from sick leave interventions were greatest for scenarios with low transmissibility, high symptomatic proportions and high illness severity. Overall, the health and economic benefits were greatest for the intervention involving 90% of sick workers taking sick leave within one-half day of symptoms. Depending on the influenza scenario, this intervention resulted in a 44.4%–99.7% reduction in the attack rate. Interventions involving sick leave onset beginning 2 days or later, after the onset of symptoms, resulted in economic losses. CONCLUSIONS: Prompt sick leave onset and a high proportion of sick leave among workers with influenza symptoms may be cost-effective, particularly during influenza epidemics and pandemics with low transmissibility or high morbidity.
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spelling pubmed-65002162019-05-21 Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model Edwards, Christina Hansen Tomba, Gianpaolo Scalia Sonbo Kristiansen, Ivar White, Richard de Blasio, Birgitte Freiesleben BMJ Open Public Health OBJECTIVES: To quantify population-level health and economic consequences of sick leave among workers with influenza symptoms. INTERVENTIONS: Compared with current sick leave practice (baseline), we evaluated the health and cost consequences of: (1) increasing the proportion of workers on sick leave from 65% (baseline) to 80% or 90%; (2) shortening the maximum duration from symptom onset to sick leave from 4 days (baseline) to 2 days, 1.5 days, 1 day and 0.5 days; and (3) combinations of 1 and 2. METHODS: A dynamic compartmental influenza model was developed using Norwegian population data and survey data on employee sick leave practices. The sick leave interventions were simulated under 12 different seasonal epidemic and 36 different pandemic influenza scenarios. These scenarios varied in terms of transmissibility, the proportion of symptomatic cases and illness severity (risk of primary care consultations, hospitalisations and deaths). Using probabilistic sensitivity analyses, a net health benefit approach was adopted to assess the cost-effectiveness of the interventions from a societal perspective. RESULTS: Compared with current sick leave practice, sick leave interventions were cost-effective for 31 (65%) of the pandemic scenarios, and 11 (92%) of the seasonal scenarios. Economic benefits from sick leave interventions were greatest for scenarios with low transmissibility, high symptomatic proportions and high illness severity. Overall, the health and economic benefits were greatest for the intervention involving 90% of sick workers taking sick leave within one-half day of symptoms. Depending on the influenza scenario, this intervention resulted in a 44.4%–99.7% reduction in the attack rate. Interventions involving sick leave onset beginning 2 days or later, after the onset of symptoms, resulted in economic losses. CONCLUSIONS: Prompt sick leave onset and a high proportion of sick leave among workers with influenza symptoms may be cost-effective, particularly during influenza epidemics and pandemics with low transmissibility or high morbidity. BMJ Publishing Group 2019-04-03 /pmc/articles/PMC6500216/ /pubmed/30948617 http://dx.doi.org/10.1136/bmjopen-2018-027832 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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/.
spellingShingle Public Health
Edwards, Christina Hansen
Tomba, Gianpaolo Scalia
Sonbo Kristiansen, Ivar
White, Richard
de Blasio, Birgitte Freiesleben
Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model
title Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model
title_full Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model
title_fullStr Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model
title_full_unstemmed Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model
title_short Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model
title_sort evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in norway using a dynamic model
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500216/
https://www.ncbi.nlm.nih.gov/pubmed/30948617
http://dx.doi.org/10.1136/bmjopen-2018-027832
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