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
Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 387
Author(s):  
Kyung Jin Hong ◽  
Sung-Hyun Cho

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.


Author(s):  
Pamela J.L. Rae ◽  
Susie Pearce ◽  
P. Jane Greaves ◽  
Chiara Dall'Ora ◽  
Peter Griffiths ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 207-208
Author(s):  
Jung Min Yoon ◽  
Alison Trinkoff ◽  
Carla Storr ◽  
Elizabeth Galik

Abstract Psychotropics use to manage behavioral and psychological symptoms of dementia (BPSD) in nursing homes (NHs) has been the focus of policy attention due to their adverse effects. We hypothesized that NHs with lower nursing staffing would have greater reliance on psychotropics use to control BPSD. A NH deficiency of care can be cited for inappropriate psychotropics use (F-tag 758). The association between the occurrence of F-758 tags and nurse staffing in residents with dementia was examined using the 2017-18 Certification and Survey Provider Enhanced Reporting data (n=14,548 NHs). Staffing measures included nursing hours per resident day (HPRD) and registered nurse (RN) skill-mix. Generalized linear mixed models that included covariates (NH location, bed size, ownership, proportion of residents with dementia/depression/psychiatric disorders and with Medicare/Medicaid) estimated the magnitude of the associations. There were 1,872 NHs with F-758 tags indicating inappropriate psychotropics use for NH residents with dementia. NHs with greater RN and certified nurse assistant (CNA) HPRD had significantly lower odds of F-758 tags (OR=0.59 54, 95% CI=0.47 44-0.73 66; OR=0.87, 95% CI=0.77-0.99, respectively) and similar findings were found in NHs with greater RN skill-mix (OR=0.14 10, 95% CI=0.05 04-0.37 25). There were no significant associations between the occurrence of F-758 tags and licensed practice nurse and unlicensed nurse aide HPRD. This study found that RN and CNA staffing had inverse associations with inappropriate psychotropic use citations among residents with dementia. NHs with higher RN staffing ratios may be better able to implement alternatives to pharmacological approaches for BPSD. It is suggested that NHs be equipped with adequate nurse staffing levels to reduce unnecessary psychotropics use.


2015 ◽  
Vol 30 (4) ◽  
pp. 306-312 ◽  
Author(s):  
Beverly Waller Dabney ◽  
Beatrice J. Kalisch

2020 ◽  
Vol 21 (3) ◽  
pp. 174-186 ◽  
Author(s):  
Charlene Harrington ◽  
Leslie Ross ◽  
Susan Chapman ◽  
Elizabeth Halifax ◽  
Bruce Spurlock ◽  
...  

In the United States, 1.4 million nursing home residents have been severely impacted by the COVID-19 pandemic with at least 25,923 resident and 449 staff deaths reported from the virus by June 1, 2020. The majority of residents have chronic illnesses and conditions and are vulnerable to infections and many share rooms and have congregate meals. There was evidence of inadequate registered nurse (RN) staffing levels and infection control procedures in many nursing homes prior to the outbreak of the virus. The aim of this study was to examine the relationship of nurse staffing in California nursing homes and compare homes with and without COVID-19 residents. Study data were from both the California and Los Angeles Departments of Public Health and as well as news organizations on nursing homes reporting COVID-19 infections between March and May 4, 2020. Results indicate that nursing homes with total RN staffing levels under the recommended minimum standard (0.75 hours per resident day) had a two times greater probability of having COVID-19 resident infections. Nursing homes with lower Medicare five-star ratings on total nurse and RN staffing levels (adjusted for acuity), higher total health deficiencies, and more beds had a higher probability of having COVID-19 residents. Nursing homes with low RN and total staffing levels appear to leave residents vulnerable to COVID-19 infections. Establishing minimum staffing standards at the federal and state levels could prevent this in the future.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Filip Haegdorens ◽  
Peter Van Bogaert ◽  
Koen De Meester ◽  
Koenraad G. Monsieurs

Abstract Background Growing evidence indicates that improved nurse staffing in acute hospitals is associated with lower hospital mortality. Current research is limited to studies using hospital level data or without proper adjustment for confounders which makes the translation to practice difficult. Method In this observational study we analysed retrospectively the control group of a stepped wedge randomised controlled trial concerning 14 medical and 14 surgical wards in seven Belgian hospitals. All patients admitted to these wards during the control period were included in this study. Pregnant patients or children below 17 years of age were excluded. In all patients, we collected age, crude ward mortality, unexpected death, cardiac arrest with Cardiopulmonary Resuscitation (CPR), and unplanned admission to the Intensive Care Unit (ICU). A composite mortality measure was constructed including unexpected death and death up to 72 h after cardiac arrest with CPR or unplanned ICU admission. Every 4 months we obtained, from 30 consecutive patient admissions across all wards, the Charlson comorbidity index. The amount of nursing hours per patient days (NHPPD) were calculated every day for 15 days, once every 4 months. Data were aggregated to the ward level resulting in 68 estimates across wards and time. Linear mixed models were used since they are most appropriate in case of clustered and repeated measures data. Results The unexpected death rate was 1.80 per 1000 patients. Up to 0.76 per 1000 patients died after CPR and 0.62 per 1000 patients died after unplanned admission to the ICU. The mean composite mortality was 3.18 per 1000 patients. The mean NHPPD and proportion of nurse Bachelor hours were respectively 2.48 and 0.59. We found a negative association between the nursing hours per patient day and the composite mortality rate adjusted for possible confounders (B = − 2.771, p = 0.002). The proportion of nurse Bachelor hours was negatively correlated with the composite mortality rate in the same analysis (B = − 8.845, p = 0.023). Using the regression equation, we calculated theoretically optimal NHPPDs. Conclusions This study confirms the association between higher nurse staffing levels and lower patient mortality controlled for relevant confounders.


2005 ◽  
Vol 10 (4) ◽  
pp. 239-244 ◽  
Author(s):  
James Buchan

The debate about how best to determine nurse staffing levels continues. The conventional wisdom is that determining staffing levels is something best left to local management, taking account of local workload and resources. This 'bottom up' philosophy has now been challenged by the use of a different approach – the use of 'top down'standardized, and mandatory, nurse:patient or nurse:bed ratios. This paper examines the characteristics and early results of the use of staffing ratios in the two health systems where nurse staffing ratios are now mandatory – the states of Victoria (Australia) and California (USA). It then discusses the policy implications of using ratios. The paper identifies the main weaknesses of the use of nurse:patient ratios as being their relative inflexibility and their potential inefficiency, if they are wrongly calibrated. Their strength is their simplicity and their transparency. Their impact will be most pronounced when ratios are mandatory and where they offer a mechanism to improve and then to maintain staffing levels at some pre-determined level. The biggest challenges in their use are calibration (what is 'safe'? or 'minimum'?) and achieving the support of all stake-holders. The paper concludes that nurse:patient ratios are a blunt instrument for achieving employer compliance, where reliance on alternative, voluntary (and often more sophisticated) methods of determining nurse staffing have not been effective.


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