Factors affecting place of death in Washington State, 1968?1981

1987 ◽  
Vol 12 (1) ◽  
pp. 40-55 ◽  
Author(s):  
Lincoln Polissar ◽  
Richard K. Severson ◽  
Norman K. Brown
Author(s):  
Venkataraman N. Shankar ◽  
Richard B. Albin ◽  
John C. Milton ◽  
Fred L. Mannering

Insights into plausible methodological frameworks specifically with respect to two key issues—(1) mathematical formulation of the underlying process affecting median crossover accidents and (2) the factors affecting median crossover frequencies in Washington State—are provided in this study. Random effects negative binomial (RENB) and the cross-sectional negative binomial (NB) models are examined. The specification comparisons indicate benefits from using the RENB model only when spatial and temporal effects are totally unobserved. When spatial and temporal effects are explicitly included, the NB model is statistically adequate, while the RENB model appears to lose its distributional advantage. Such findings might be artifacts of the median crossover accident dataset used in this study. While the NB model appears to be the superior model in the present case of median crossover accidents, the marginally inferior performance of the RENB model warrants further examination through application to regular accident types in light of its flexibility to incorporate temporal and cross-sectional variations simultaneously in panel counts. From a predictive standpoint, RENB offers advantages in terms of model transferability and updating.


2021 ◽  
Vol 12 ◽  
Author(s):  
Armin Fereidouni ◽  
Maryam Rassouli ◽  
Mahmood Salesi ◽  
Hadis Ashrafizadeh ◽  
Amir Vahedian-Azimi ◽  
...  

Background: Identifying the preferred place of death is a key indicator of the quality of death in cancer patients and one of the most important issues for health service policymakers. This study was done to determine the preferred place of death and the factors affecting it for adult patients with cancer.Methods: In this systematic review and meta-analysis study four online databases (PubMed, Scopus, web of science, ProQuest) were searched by relevant keywords. Quality assessment of papers was conducted using Newcastle-Ottawa (NOS) criterion. Odds ratios, relative risks, and 95% confidence intervals were determined for each of the factors extracted from the investigations.Results: A total of 14,920 participants of 27 studies were included into the meta-analysis. Based on the results, 55% of cancer patients with a confidence interval [95% CI (41–49)] preferred home, 17% of patients with a confidence interval [95% CI (−12%) 23)] preferred hospital and 10% of patients with confidence interval [95% CI (13–18)] preferred hospices as their favored place to die. Effective factors were also reported in the form of demographic characteristics, disease-related factors and psychosocial factors.Conclusions: This study showed that more than half of cancer patients chose home as their preferred place of death. Therefore, guided policies need to ensure that the death of the patients in the preferred place should be considered with priority.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020218680, identifier: CRD42020218680.


2013 ◽  
Vol 31 (3) ◽  
pp. 300-306 ◽  
Author(s):  
Lung-Chun Lee ◽  
Chung-Chieh Hu ◽  
El-Wui Loh ◽  
Sheau-Feng Hwang

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