Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries

ABSTRACTEarnings persistence and earnings transparency are an important factors in company performance. The quality of financial statement will differentiate performance between one company to another. The research purposed to analyze the effect of earnings persistence and earnings transparency on the company performance. In addition, the research purposed to analyze corporate governance as a moderating variable can strengthens the effect between earnings persistence and earnings transparency on company performance. This research using sample of 363 firms-year in 2014-2016 and applying panel data analysis. The results show that earnings persistence variable has a positive significant effect on the company performance. Earning transparency also has a positive significant effect on company performance. For corporate governance as a moderation variable strengthens the effect between earnings persistence and earning transparency to the company performance. Size and age also have a positive significant effect on company performance. Keywords: earnings persistence; earnings transparency; company performance; corporate governance.

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The Financial Performance on Asset Quality of Insurance Industry in Egypt (Panel Data Analysis)

International Business Research ◽

10.5539/ibr.v14n6p24 ◽

2021 ◽

Vol 14 (6) ◽

pp. 24

Author(s):

Salah Mohamed Eladly

Keyword(s):

Data Analysis ◽

Panel Data ◽

Financial Performance ◽

Linear Relationship ◽

Insurance Industry ◽

Panel Data Analysis ◽

Test Statistic ◽

Independent Variable ◽

Asset Quality

This study is an attempt to analyze the  impact of the financial performance on asset quality of insurance industry in Egypt as  applied on a sample of 19 insurance companies over the period 1999-2019.The financial performance measured by profitability (return on equity-return on investment) and liquidity results show that there is a significant negative linear relationship between the independent variable in terms ofX3, and the dependent variable; y, at a significant level less than (0.01), while there is no significant linear relationship between the independent variable of X1,X2, and dependent variable; y at a significant level greater than (0.05) . The study methodology used panel data analysis according to ARDL model and OLS, beside the robustness check supports these results using the Jarque-Bera test and the Durbin-Watson test statistic

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Changes in Nurse Staffing Grades of Korean Hospitals during COVID-19 Pandemic

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18115900 ◽

2021 ◽

Vol 18 (11) ◽

pp. 5900

Author(s):

Young-Taek Park ◽

JeongYun Park ◽

Ji Soo Jeon ◽

Young Jae Kim ◽

Kwang Gi Kim

Keyword(s):

Generalized Linear Model ◽

Nurse Staffing ◽

Staffing Level ◽

Important Indicator ◽

Independent Variables ◽

Staffing Levels ◽

Number Of Patients ◽

Nurse Staffing Level ◽

General Wards

The global COVID-19 pandemic is creating challenges to manage staff ratios in clinical units. Nurse staffing level is an important indicator of the quality of care. This study aimed to identify any changes in the nurse staffing levels in the general wards of hospitals in Korea during the COVID-19 pandemic. The unit of analysis was the hospitals. This longitudinal study observed the quarterly change of the nurse staffing grades in 969 hospitals in 2020. The nurse staffing grades ranged from 1 to 7 according to the nurse–patient ratio measured by the number of patients (or beds) per nurse. The major dependent and independent variables were the change of nurse staffing grades and three quarterly observation points being compared with those during the 1st quarter (1Q) of 2020, respectively. A generalized linear model was used. Unexpectedly, the nurse staffing grades significantly improved (2Q: RR, 27.2%; 95% confidence interval (CI), 15.1–27.6; p < 0.001; 3Q: RR, 95% CI, 20.2%; 16.9–21.6; p < 0.001; 4Q: RR, 26.6%; 95% CI, 17.8–39.6; p < 0.001) quarterly, indicating that the nurse staffing levels increased. In the comparison of grades at 2Q, 3Q, and 4Q with those at 1Q, most figures improved in tertiary, general, and small hospitals (p < 0.05), except at 3Q and 4Q of general hospitals. In conclusion, the nurse staffing levels did not decrease, but nursing shortage might occur.

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