scholarly journals Survival and Estimation of Direct Medical Costs of Hospitalized COVID-19 Patients in the Kingdom of Saudi Arabia

2020 ◽  
Vol 17 (20) ◽  
pp. 7458 ◽  
Author(s):  
Anas Khan ◽  
Yazed AlRuthia ◽  
Bander Balkhi ◽  
Sultan Alghadeer ◽  
Mohamad-Hani Temsah ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Proportional Hazards ◽  
Medical Costs ◽  
Cox Proportional Hazards ◽  
Mechanical Ventilators ◽  
Kingdom Of Saudi Arabia ◽  
General Medical Ward ◽  
Icu Admission ◽  
Direct Medical Costs ◽  
Hospitalization Costs

Objectives: Assess the survival of hospitalized coronavirus disease 2019 (COVID-19) patients across age groups, sex, use of mechanical ventilators (MVs), nationality, and intensive care unit (ICU) admission in the Kingdom of Saudi Arabia. Methods: Data were retrieved from the Saudi Ministry of Health (MoH) between 1 March and 29 May 2020. Kaplan–Meier (KM) analyses and multiple Cox proportional-hazards regression were conducted to assess the survival of hospitalized COVID-19 patients from hospital admission to discharge (censored) or death. Micro-costing was used to estimate the direct medical costs associated with hospitalization per patient. Results: The number of included patients with complete status (discharge or death) was 1422. The overall 14-day survival was 0.699 (95%CI: 0.652–0.741). Older adults (>70 years) (HR = 5.00, 95%CI = 2.83–8.91), patients on MVs (5.39, 3.83–7.64), non-Saudi patients (1.37, 1.01–1.89), and ICU admission (2.09, 1.49–2.93) were associated with a high risk of mortality. The mean cost per patient (in SAR) for those admitted to the general Medical Ward (GMW) and ICU was 42,704.49 ± 29,811.25 and 79,418.30 ± 55,647.69, respectively. Conclusion: The high hospitalization costs for COVID-19 patients represents a significant public health challenge. Efficient allocation of healthcare resources cannot be emphasized enough.

scholarly journals Occupation and COVID-19 diagnosis, hospitalisation and ICU admission among foreign-born and Swedish-born employees: a register-based study

2022 ◽  
pp. jech-2021-218278
Author(s):  
Chioma Adanma Nwaru ◽  
Ailiana Santosa ◽  
Stefan Franzén ◽  
Fredrik Nyberg
Keyword(s):  
Healthcare Workers ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Elevated Risk ◽  
Foreign Born ◽  
Occupational Groups ◽  
Socioeconomic Characteristics ◽  
Icu Admission ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

BackgroundResearch on occupation and risk of COVID-19 among foreign-born workers is lacking. We investigated whether working in essential occupations was associated with COVID-19 diagnosis, hospitalisation and intensive care unit (ICU) admission and whether foreign-born workers in similar occupations as Swedish-born individuals had a higher risk of the studied outcomes.MethodsOccupational data (2018–2019) of 326 052 employees (20–65 years) who were resident in Sweden as of 1 January 2020 were linked to COVID-19 data registered from 1 January 2020 to 28 February 2021. We analysed the risk of COVID-19 outcomes in different occupational groups and in four immigrant/occupation intersectional groups using Cox proportional hazards regression with adjustments for sociodemographic and socioeconomic characteristics and pre-existing comorbidities.ResultsWe identified 29797, 1069 and 152 cases of COVID-19 diagnosis, hospitalisations and ICU admissions, respectively, in our cohort. Workers in essential occupations had an elevated risk of COVID-19 diagnosis, hospitalisation, and ICU admissions. Healthcare workers had a higher risk of all the outcomes compared with other essential workers. Relative to Swedish-born workers in non-essential occupations, foreign-born workers in essential occupations had 1.85 (95% CI 1.78 to 1.93), 3.80 (95% CI 3.17 to 4.55) and 3.79 (95% CI 2.33 to 6.14) times higher risk of COVID-19 diagnosis, hospitalisation and ICU admission, respectively. The corresponding risks among Swedish-born workers in essential occupations were 1.44 (95% CI 1.40 to 1.49), 1.30 (95% CI 1.08 to 1.56) and 1.46 (95% CI 0.90 to 2.38).ConclusionOccupation was associated with COVID-19 outcomes and contributed to the burden of COVID-19 among foreign-born individuals in this study.

Cost of lung cancer in East Azerbaijan province, in Iran, in 2017

2020 ◽  
Vol 14 (3) ◽  
pp. 461-470
Author(s):  
Habibeh Mir ◽  
Farshad Seyednejad ◽  
Habib Jalilian ◽  
Shirin Nosratnejad ◽  
Mahmood Yousefi
Keyword(s):  
Lung Cancer ◽  
Length Of Hospital Stay ◽  
Indirect Costs ◽  
Medical Costs ◽  
Content Type ◽  
Direct Medical Costs ◽  
Hospitalization Costs ◽  
Illness Study ◽  
East Azerbaijan ◽  
The Cost

Purpose Costs estimation is essential and important to resource allocation and prioritizing different interventions in the health system. The purpose of this paper is to estimate the costs of lung cancer in Iran, in 2017. Design/methodology/approach This was a prevalence-based cost of illness study with a bottom-up approach costing conducted from October 2016 to April 2017. The sample included 645 patients who referred to Imam Reza hospital, Tabriz, Iran, in 2017. Follow-up interviews were every two months. Hospitalization costs extracted from the patient’s record and outpatient costs, nondirect medical costs and indirect costs collected using questionnaire. SPSS software version 22 was used for the data analysis. Findings Mean direct medical costs, nondirect medical costs and indirect costs amounted to 36,637.02 ± 23,515.13 PPP (2016) (251,313,217.83 Rials), 2,025.25 ± 3,303.72 PPP (2016) (16,613,202.53 Rials) and 48,348.55 ± 34,371.84 PPP (2016) (396,599,494.56 Rials), respectively. There was a significant and negative correlation between direct medical costs, direct nonmedical costs, indirect costs and age at diagnosis, and there was a significant and positive correlation between the length of hospital stay and direct medical cost. Originality/value As the cost of lung cancer is substantial and there have been little studies in this area, the objective of this study is to investigate the cost of lung cancer and present ways to tackle this.

scholarly journals Corticosteroid therapy in critically ill patients with COVID-19: a multicenter, retrospective study

Critical Care ◽  
2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Yiming Li ◽  
Qinghe Meng ◽  
Xin Rao ◽  
Binbin Wang ◽  
Xingguo Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Corticosteroid Treatment ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Initiation Time ◽  
Icu Admission

Abstract Background Corticoid therapy has been recommended in the treatment of critically ill patients with COVID-19, yet its efficacy is currently still under evaluation. We investigated the effect of corticosteroid treatment on 90-day mortality and SARS-CoV-2 RNA clearance in severe patients with COVID-19. Methods 294 critically ill patients with COVID-19 were recruited between December 30, 2019 and February 19, 2020. Logistic regression, Cox proportional-hazards model and marginal structural modeling (MSM) were applied to evaluate the associations between corticosteroid use and corresponding outcome variables. Results Out of the 294 critically ill patients affected by COVID-19, 183 (62.2%) received corticosteroids, with methylprednisolone as the most frequently administered corticosteroid (175 accounting for 96%). Of those treated with corticosteroids, 69.4% received corticosteroid prior to ICU admission. When adjustments and subgroup analysis were not performed, no significant associations between corticosteroids use and 90-day mortality or SARS-CoV-2 RNA clearance were found. However, when stratified analysis based on corticosteroid initiation time was performed, there was a significant correlation between corticosteroid use (≤ 3 day after ICU admission) and 90-day mortality (logistic regression adjusted for baseline: OR 4.49, 95% CI 1.17–17.25, p = 0.025; Cox adjusted for baseline and time varying variables: HR 3.89, 95% CI 1.94–7.82, p < 0.001; MSM adjusted for baseline and time-dependent variants: OR 2.32, 95% CI 1.16–4.65, p = 0.017). No association was found between corticosteroid use and SARS-CoV-2 RNA clearance even after stratification by initiation time of corticosteroids and adjustments for confounding factors (corticosteroids use ≤ 3 days initiation vs no corticosteroids use) using MSM were performed. Conclusions Early initiation of corticosteroid use (≤ 3 days after ICU admission) was associated with an increased 90-day mortality. Early use of methylprednisolone in the ICU is therefore not recommended in patients with severe COVID-19.

scholarly journals Hematopoietic Cell Transplantation–Specific Comorbidity Index Predicts Inpatient Mortality and Survival in Patients Who Received Allogeneic Transplantation Admitted to the Intensive Care Unit

2013 ◽  
Vol 31 (33) ◽  
pp. 4207-4214 ◽  
Author(s):  
Ulas D. Bayraktar ◽  
Elizabeth J. Shpall ◽  
Ping Liu ◽  
Stefan O. Ciurea ◽  
Gabriela Rondon ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Cell Transplantation ◽  
Hematopoietic Cell Transplantation ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Hematopoietic Cell ◽  
Inpatient Mortality ◽  
Icu Admission ◽  
Comorbidity Index

Purpose To investigate the prognostic value of the Hematopoietic Cell Transplantation–Specific Comorbidity Index (HCT-CI) in patients who received transplantation admitted to the intensive care unit (ICU). Patients and Methods We investigated the association of HCT-CI with inpatient mortality and overall survival (OS) among 377 patients who were admitted to the ICU within 100 days of allogeneic stem-cell transplantation (ASCT) at our institution. HCT-CI scores were collapsed into four groups and were evaluated in univariate and multivariate analyses using logistic regression and Cox proportional hazards models. Results The most common pretransplantation comorbidities were pulmonary and cardiac diseases, and respiratory failure was the primary reason for ICU admission. We observed a strong trend for higher inpatient mortality and shorter OS among patients with HCT-CI values ≥ 2 compared with patients with values of 0 to 1 in all patient subsets studied. Multivariate analysis showed that patients with HCT-CI values ≥ 2 had significantly higher inpatient mortality than patients with values of 0 to 1 and that HCT-CI values ≥ 4 were significantly associated with shorter OS compared with values of 0 to 1 (hazard ratio, 1.74; 95% CI, 1.23 to 2.47). The factors associated with lower inpatient mortality were ICU admission during the ASCT conditioning phase or the use of reduced-intensity conditioning regimens. The overall inpatient mortality rate was 64%, and the 1-year OS rate was 15%. Among patients with HCT-CI scores of 0 to 1, 2, 3, and ≥ 4, the 1-year OS rates were 22%, 17%, 18%, and 9%, respectively. Conclusion HCT-CI is a valuable predictor of mortality and survival in critically ill patients after ASCT.

scholarly journals PDB45 Direct Medical Costs of Diabetes-Related Complications in Saudi Arabia

2012 ◽  
Vol 15 (4) ◽  
pp. A178 ◽  
Author(s):  
A. Hnoosh ◽  
G. Vega-Hernández ◽  
A. Jugrin ◽  
L. Todorova
Keyword(s):  
Saudi Arabia ◽  
Medical Costs ◽  
Direct Medical Costs

scholarly journals Outcomes of Older Adults With Sepsis at Admission to an Intensive Care Unit

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Theresa Rowe ◽  
Katy L. B. Araujo ◽  
Peter H. Van Ness ◽  
Margaret A. Pisani ◽  
Manisha Juthani-Mehta
Keyword(s):  
Older Adults ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Icu Admission ◽  
Baseline Characteristics ◽  
The Impact

Abstract Background.  Sepsis is a major cause of morbidity and mortality among older adults. The main goals of this study were to assess the association of sepsis at intensive care unit (ICU) admission with mortality and to identify predictors associated with increased mortality in older adults. Methods.  We conducted a prospective cohort study of 309 participants ≥60 years admitted to an ICU. Sepsis was defined as 2 of 4 systemic inflammatory response syndrome criteria plus a documented infection within 2 calendar days before or after admission. The main outcome measure was time to death within 1 year of ICU admission. Sepsis was evaluated as a predictor for mortality in a Cox proportional hazards model. Results.  Of 309 participants, 196 (63%) met the definition of sepsis. Among those admitted with and without sepsis, 75 (38%) vs 20 (18%) died within 1 month of ICU admission (P &lt; .001) and 117 (60%) vs 48 (42%) died within 1 year (P &lt; .001). When adjusting for baseline characteristics, sepsis had a significant impact on mortality (hazard ratio [HR] = 1.80; 95% confidence interval [CI], 1.28–2.52; P &lt; .001); however, after adjusting for baseline characteristics and process covariates (antimicrobials and vasopressor use within 48 hours of admission), the impact of sepsis on mortality became nonsignificant (HR = 1.26; 95% CI, .87–1.84; P = .22). Conclusions.  The diagnosis of sepsis in older adults upon ICU admission was associated with an increase in mortality compared with those admitted without sepsis. After controlling for early use of antimicrobials and vasopressors for treatment, the association of sepsis with mortality was reduced.

scholarly journals Direct Medical Costs of Pediatric Congenital Heart Disease Surgery in a Belgian University Hospital

2019 ◽  
Vol 10 (1) ◽  
pp. 28-36 ◽  
Author(s):  
Ruben Willems ◽  
Philip Tack ◽  
Katrien François ◽  
Lieven Annemans
Keyword(s):  
Health Care ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Congenital Heart ◽  
Medical Costs ◽  
Bootstrap Analysis ◽  
Direct Medical Costs ◽  
Major Complications ◽  
Hospitalization Costs ◽  
Excess Costs

Objectives: The recent trend to optimize the efficiency of health-care systems requires objective clinical and economic data. European data on the cost of surgical procedures to repair or palliate congenital heart disease in pediatric patients are lacking. Methods: A single-center study was conducted. Bootstrap analysis of variance and bootstrap independent t test assessed the excess direct medical costs associated with minor and major complications in nine surgical procedure types, from a health-care payer perspective. Generalized linear models with log-link function and inverse Gaussian family were used to determine associated covariates with the total hospitalization cost. Descriptive statistics show the repartition between out-of-pocket expenditures and reimbursed costs. Results: Four hundred thirty-seven patients were included. Mean hospitalization costs ranged from €11,106 (atrial septal defect repair) to €33,865 (Norwood operation). Operations with major complications yielded excess costs compared to operations with no complications, ranging from €7,105 (+65.2%) for a truncus arteriosus repair to €27,438 (+251.7%) for a tetralogy of Fallot repair. Differences in costs were limited between operations with minor versus no complications. Age at procedure, intensive care unit stay, procedure risk category, reintervention, and postoperative mechanical circulatory support were associated with higher total hospitalization costs. Out-of-pocket expenditures represented 6% of total hospitalization costs. Conclusion: Operations with major complications yield excess costs, compared to operations with minor or no complications. Cost data and attribution are important to improve clinical practice in a cost-effective manner. The health-care system benefits from strategies and technological advancements that have an impact on modifiable cost-affecting parameters.

scholarly journals Clinical course and risk factors of fatal adverse outcomes in COVID-19 patients in Korea: a nationwide retrospective cohort study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Juhyun Song ◽  
Dae Won Park ◽  
Jae-hyung Cha ◽  
Hyeri Seok ◽  
Joo Yeong Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Retrospective Cohort ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Adverse Outcomes ◽  
Cox Proportional Hazards Model ◽  
Icu Admission ◽  
Hazards Model

AbstractWe investigated association between epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) patients and clinical outcomes in Korea. This nationwide retrospective cohort study included 5621 discharged patients with COVID-19, extracted from the Korea Disease Control and Prevention Agency (KDCA) database. We compared clinical data between survivors (n = 5387) and non-survivors (n = 234). We used logistic regression analysis and Cox proportional hazards model to explore risk factors of death and fatal adverse outcomes. Increased odds ratio (OR) of mortality occurred with age (≥ 60 years) [OR 11.685, 95% confidence interval (CI) 4.655–34.150, p < 0.001], isolation period, dyspnoea, altered mentality, diabetes, malignancy, dementia, and intensive care unit (ICU) admission. The multivariable regression equation including all potential variables predicted mortality (AUC = 0.979, 95% CI 0.964–0.993). Cox proportional hazards model showed increasing hazard ratio (HR) of mortality with dementia (HR 6.376, 95% CI 3.736–10.802, p < 0.001), ICU admission (HR 4.233, 95% CI 2.661–6.734, p < 0.001), age ≥ 60 years (HR 3.530, 95% CI 1.664–7.485, p = 0.001), malignancy (HR 3.054, 95% CI 1.494–6.245, p = 0.002), and dyspnoea (HR 1.823, 95% CI 1.125–2.954, p = 0.015). Presence of dementia, ICU admission, age ≥ 60 years, malignancy, and dyspnoea could help clinicians identify COVID-19 patients with poor prognosis.

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