scholarly journals Associations between Nurse Staffing Levels, Patient Experience, and Hospital Rating

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 387
Author(s):  
Kyung Jin Hong ◽  
Sung-Hyun Cho
Keyword(s):  
Patient Experience ◽  
Design Method ◽  
Nurse Staffing ◽  
Secondary Data ◽  
Staffing Level ◽  
Cross Sectional ◽  
General Hospitals ◽  
Staffing Levels ◽  
Nurse Staffing Level ◽  
Cross Sectional Design

The current study aimed to examine patient experience scores and differences in the scores based on the region and nurse staffing level of hospitals as well as to verify the effect of nurse-related patient experience scores on the overall rating of hospitals. Secondary data from the second Korean Patient Experience Survey—conducted using the cross-sectional design method—were analyzed, and 146 hospitals were included. Patient experience scores included six dimensions, and hospitals were categorized as: tertiary or general hospitals based on their type; capital and non-capital region hospitals based on regions; and beds-nurse or patients-nurse ratios were used based on nurse staffing levels. Pearson’s correlation, simple regression, and multiple regression analysis methods were used. Among the six patient experience dimensions, the nurse-related patient experience score of 86.0 was the highest, whereas patient rights score of 78.4 was lowest. Moreover, the patient experience score for general hospitals with low nurse staffing grade was low, and the nurse experience score affected the overall hospital rating in general hospitals (p = 0.040). Policies to improve nurse staffing level are required to provide high-quality nursing care focused on communication with patients, which can enhance patient experience and satisfaction.

scholarly journals The effect of nurse-to-patient ratios on nurse-sensitive patient outcomes in acute specialist units: a systematic review and meta-analysis

2017 ◽  
Vol 17 (1) ◽  
pp. 6-22 ◽  
Author(s):  
Andrea Driscoll ◽  
Maria J Grant ◽  
Diane Carroll ◽  
Sally Dalton ◽  
Christi Deaton ◽  
...  
Keyword(s):  
Systematic Review ◽  
Patient Outcomes ◽  
Meta Analysis ◽  
Nurse Staffing ◽  
Administrative Databases ◽  
Inhospital Mortality ◽  
Staffing Level ◽  
Cross Sectional ◽  
Staffing Levels ◽  
Number Of Patients

Background: Nurses are pivotal in the provision of high quality care in acute hospitals. However, the optimal dosing of the number of nurses caring for patients remains elusive. In light of this, an updated review of the evidence on the effect of nurse staffing levels on patient outcomes is required. Aim: To undertake a systematic review and meta-analysis examining the association between nurse staffing levels and nurse-sensitive patient outcomes in acute specialist units. Methods: Nine electronic databases were searched for English articles published between 2006 and 2017. The primary outcomes were nurse-sensitive patient outcomes. Results: Of 3429 unique articles identified, 35 met the inclusion criteria. All were cross-sectional and the majority utilised large administrative databases. Higher staffing levels were associated with reduced mortality, medication errors, ulcers, restraint use, infections, pneumonia, higher aspirin use and a greater number of patients receiving percutaneous coronary intervention within 90 minutes. A meta-analysis involving 175,755 patients, from six studies, admitted to the intensive care unit and/or cardiac/cardiothoracic units showed that a higher nurse staffing level decreased the risk of inhospital mortality by 14% (0.86, 95% confidence interval 0.79–0.94). However, the meta-analysis also showed high heterogeneity (I2=86%). Conclusion: Nurse-to-patient ratios influence many patient outcomes, most markedly inhospital mortality. More studies need to be conducted on the association of nurse-to-patient ratios with nurse-sensitive patient outcomes to offset the paucity and weaknesses of research in this area. This would provide further evidence for recommendations of optimal nurse-to-patient ratios in acute specialist units.

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

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.

Factors Related to Nurse Staffing Levels in Tertiary and General Hospitals

2005 ◽  
Vol 35 (8) ◽  
pp. 1493 ◽  
Author(s):  
Yun Mi Kim ◽  
Kyung Ja June ◽  
Sung Hyun Cho
Keyword(s):  
Nurse Staffing ◽  
General Hospitals ◽  
Staffing Levels

scholarly journals CORRELATION BETWEEN SMOKE-FREE AREAS AND SMOKING BEHAVIOR IN INDONESIA

2020 ◽  
Vol 8 (2) ◽  
pp. 117
Author(s):  
Mohamad Anis Fahmi
Keyword(s):  
Public Awareness ◽  
Smoking Behavior ◽  
Secondary Data ◽  
Computer Application ◽  
P Value ◽  
Cross Sectional ◽  
Positive Correlation ◽  
The Government ◽  
Cross Sectional Design ◽  
The Impact

Background: Low public awareness of the impact of smoking makes the implementation of smoke-free areas (KTR) difficult. Smoke-free areas aim to protect the public from the direct and indirect effects of smoking. Purpose: This study aimed to analyze the correlation between the application of smoke-free areas and the prevalence of active and ex-smokers in Indonesia. Method: This study implemented a cross-sectional design, using secondary data from the Riskesdas 2018 on active and ex-smokers. KTR application data were obtained from the Profile of Non-Communicable Diseases in 2016. A Pearson product-moment test was conducted by a computer application to determine the correlation coefficient (r). This coefficient was used to describe the level of correlation between the two variables; significance was determined as a p value of 5%. Results: This study showed that the average application of KTR throughout Indonesia was 50.83%, active smokers comprised 23.49% of the population, and ex-smokers comprised 4.94%. Most active smokers were in Java and Sumatra, while the majority of ex-smokers were in Java and Sulawesi and the majority of KTR was in Java. This study shows that there is a positive correlation between KTR application and the percentage of ex-smokers (r = 0.46; p value = 0.01). Conclusion: There is a positive correlation between the application of KTR and an increase in ex-smokers. The government needs to increase the application of KTR policies.

scholarly journals RISK ASSESSMENT PADA PEKERJAAN MENEBANG KAYU DI HUTAN PRODUKSI (STUDI KASUS PADA PENGOPERASIAN CHAINSAW PERUM PERHUTANI KPH MADIUN)

2017 ◽  
Vol 5 (2) ◽  
pp. 153
Author(s):  
Raditya Angga Pradipta
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Analysis Data ◽  
Observational Research ◽  
Primary Data ◽  
Cross Sectional ◽  
Forest Production ◽  
Cross Sectional Design

Logging the forest production is a high risk work. The condition of the forest acreage is difficult, the imbalance between the tools used by condition of the field and the skills of workers can lead to accidents. One of supporting job in the process of logging the forest production is the operation of the chainsaw that has hazards and risks which must be controlled. The main objective of this research was to risk assessment in the operational of the chainsaw in the work to cutting down trees in Perhutani KPH Madiun. This research was an observational research that conducted using cross sectional design and descriptive analysis. Data were used primary data based on interviews, observations and secondary data collected from the company. This research performed based on work activities of operating chainsaw. The result showed that based on idetification of hazards in activities of operating chainsaw in cutting trees, there were18 hazards Risk assessment showed that from 18 pure risks, there were 4 low risks,7 medium risks and 7 high risks. The conclusion from this research is the risk most dominant obtained from the risk assessment is high risk and risks while each one had the amount of 7 danger or 39 % of all the potential here hazards, to at a job should not be continued, work that needs to be set repeated or attempts to control at work to reduce the risk. Control must be reviewed for conformity before work began.Keywords: cut timber, identification hazards, risk assessment

scholarly journals Relationship Host Behavior and The Environment of DHF Incidence in Wonokusumo Surabaya

2018 ◽  
Vol 5 (3) ◽  
pp. 383
Author(s):  
Sofa Nutrima Rismawati
Keyword(s):  
Data Collection ◽  
Dengue Hemorrhagic Fever ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Primary Data ◽  
Environment Interaction ◽  
Cross Sectional ◽  
Host Behavior ◽  
Cross Sectional Design ◽  
Data Collection Technique

ABSTRACTFree Number of larvae (ABJ) in RW 15, Wonokusumo Village is 85%. However, the incidence of Dengue Hemorrhagic Fever (DHF) is still high, ie 17 cases. The high incidence rate of DHF is due to the interaction between host, agent and environment. Host in terms of behavior, dengue virus as an agent and environment derived from the surrounding conditions that can cause and trigger the spread of DHF. The purpose of this research is to analyze the relationship of host and environment behavior to the occurrence of DHF in RW 15. This research using cross sectional design. Random sampling using the guy method. How to calculate the method guy is 10% of the population so that obtained a sample of 78 respondents. Primary data collection technique is done through indepth interview and filling questionnaire. Secondary data collection was obtained from Wonokusumo Puskemas report and report from Surabaya City Health Office. The research was conducted in RW 15. The result of bivariate statistic test showed significant relation between knowledge, attitude, action and environment against DHF incidence with p> α, 0,00> 0,05. The conclusion of this research is that there is host and environment interaction to DHF incidence. Suggestion of this research is procurement of work program every month, independent larvae monitoring movement by society and 3M movement plus every week on Thursday and procurement of training of cadre jumantik about how and regulation of dosage of abate powder according to dose.Keywords: host behavior, environment, disease Dengue Hemorrhagic Fever

scholarly journals Determinants of Injury Incidents in the Productive Aged Groups in Central Sulawesi

2020 ◽  
Author(s):  
Sea Septiana ◽  
◽  
Ira Marti Ayu ◽  
Keyword(s):  
Nutritional Status ◽  
Employment Status ◽  
Secondary Data ◽  
Bivariate Analysis ◽  
Chi Square ◽  
Cross Sectional ◽  
Level Of Education ◽  
Cross Sectional Design ◽  
Central Sulawesi ◽  
Keywords Injury

ABSTRACT Background: Based on RISKESDAS data from 2007, 2013, and 2018, the prevalence of injuries in Indonesia had increased from 7.5%, 8.2%, and 9.2% respectively. In 2018, the proportion of injuries ranked 12th place in morbidity in Indonesia with the highest cases in Central Sulawesi Province (13.8%). This study aimed to determine of injury inci­dents in the productive aged groups in Central Sulawesi. Subjects and Method: This was a cross-sectional design conducted in Central Sulawesi from October 2019 to January 2020. A total of 1,323 reproductive-aged household mem­bers was selected by random sampling method. The dependent variable was the incident of injury. The independent variables were age, gender, level of education, employment status, and nutritional status. The data were collected from secondary data of basic health research data in 2018 with household dan individual questionnaires. Bivariate analysis was performed by chi-square method. Results: The bivariate analysis showed that the incidence of injury among the productive aged groups increased with age (OR= 1.50; 95% CI= 1.10 to 2.05; p= 0.021), gender (OR= 1.29; 95% CI= 1.03 to 1.62; p=0.030), level of education (OR= 2.01; 95% CI= 1.14 to 3.56; p= 0.010), employment status (OR= 1.86; 95% CI= 1.19 to 2.90; p= 0.005), and nutritional status (OR= 0.77; 95% CI= 0.55 to 1.07; p= 0.033). Conclusion: The incidence of injury among the productive aged groups increases with age, gender, level of education, employment status, and nutritional status. Keywords: injury, incidents, determinants, productive age Correspondence: Sea Septiana. Universitas Esa Unggul. Jl. Arjuna Utara No. 9, Kebon Jeruk, West Jakarta, 11510. Email: [email protected]. Mobile: +628978233316 DOI: https://doi.org/10.26911/the7thicph.04.30

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