nurse outcomes
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2022 ◽  
pp. 152715442110695
Author(s):  
Molly Kreider Viscardi ◽  
Rachel French ◽  
Heather Brom ◽  
Eileen Lake ◽  
Connie Ulrich ◽  
...  

We sought to evaluate if better work environments or staffing were associated with improvements in care quality, patient safety, and nurse outcomes across hospitals caring for different proportions of patients who are economically disadvantaged. Few actionable approaches for hospitals with quality and resource deficits exist. One solution may be to invest in the nurse work environment and staffing. This cross-sectional study utilized secondary data from 23,629 registered nurses in 503 hospitals from a four-state survey collected in 2005–2008. Each 10% increase in the proportion of patients who are economically disadvantaged was associated with 27% and 22% decreased odds of rating unit-level care quality as excellent and giving an “A” safety grade, respectively. Each 10% increase was also associated with 9%, 25%, and 11% increased odds of job dissatisfaction, intent to leave, and burnout, respectively. The work environment had the largest association with each outcome. Accounting for the nurse work environment lessened or eliminated the negative outcomes experienced at hospitals serving high proportions of patients who are economically disadvantaged. Leaders at hospitals serving high proportions of patients who are economically disadvantaged, as well as state and federal policymakers, should work to improve quality, safety, and nurse outcomes by strengthening nurse work environments. Improving work environments highlights the role of nursing in the health care system, and policies focused on work environments are needed to improve the experiences of patients and nurses, especially at hospitals that care for many patients who are economically disadvantaged.


10.2196/26700 ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. e26700
Author(s):  
Beatrice Gehri ◽  
Stefanie Bachnick ◽  
René Schwendimann ◽  
Michael Simon

Background The quality of care is often poorly assessed in mental health settings, and accurate evaluation requires the monitoring and comparison of not only the outcomes but also the structures and processes. The resulting data allow hospital administrators to compare their patient outcome data against those reported nationally. As Swiss psychiatric hospitals are planned and coordinated at the cantonal level, they vary considerably. In addition, nursing care structures and processes, such as nurse staffing, are only reported and aggregated at the national level, whereas nurse outcomes, such as job satisfaction or intention to leave, have yet to be assessed in Swiss psychiatric hospitals. Because they lack these key figures, psychiatric hospitals’ quality of care cannot be reasonably described. Objective This study’s purpose is to describe health care quality by exploring hospital structures such as nurse staffing and the work environment; processes such as the rationing of care; nurse outcomes, including job satisfaction and work-life balance; and patients’ symptom burden. Methods MatchRN Psychiatry is a multicenter observational study of Swiss psychiatric hospitals. The sample for this study included approximately 1300 nurses from 113 units of 13 psychiatric hospitals in Switzerland’s German-speaking region. In addition, routine patient assessment data from each participating hospital were included. The nurse survey consisted of 164 items covering three dimensions—work environment, patient safety climate, and the rationing of care. The unit-level questionnaire included 57 items, including the number of beds, number of nurses, and nurses’ education levels. Routine patient data included items such as main diagnosis, the number and duration of freedom-restrictive measures, and symptom burden at admission and discharge. Data were collected between September 2019 and June 2021. The data will be analyzed descriptively by using multilevel regression linear mixed models and generalized linear mixed models to explore associations between variables of interest. Results The response rate from the nurse survey was 71.49% (1209/1691). All data are currently being checked for consistency and plausibility. The MatchRN Psychiatry study is funded by the participating psychiatric hospitals and the Swiss Psychiatric Nursing Leaders Association (Vereinigung Pflegekader Psychiatrie Schweiz). Conclusions For the first time, the MatchRN Psychiatry study will systematically evaluate the quality of care in psychiatric hospitals in Switzerland in terms of organizational structures, processes, and patient and nurse outcomes. The participating psychiatric hospitals will benefit from findings that are relevant to the future planning of nurse staffing. The findings of this study will contribute to improvement strategies for nurses’ work environments and patient experiences in Swiss psychiatric hospitals. International Registered Report Identifier (IRRID) DERR1-10.2196/26700


2020 ◽  
Author(s):  
Beatrice Gehri ◽  
Stefanie Bachnick ◽  
René Schwendimann ◽  
Michael Simon

BACKGROUND The quality of care is often poorly assessed in mental health settings, and accurate evaluation requires the monitoring and comparison of not only the outcomes but also the structures and processes. The resulting data allow hospital administrators to compare their patient outcome data against those reported nationally. As Swiss psychiatric hospitals are planned and coordinated at the cantonal level, they vary considerably. In addition, nursing care structures and processes, such as nurse staffing, are only reported and aggregated at the national level, whereas nurse outcomes, such as job satisfaction or intention to leave, have yet to be assessed in Swiss psychiatric hospitals. Because they lack these key figures, psychiatric hospitals’ quality of care cannot be reasonably described. OBJECTIVE This study’s purpose is to describe health care quality by exploring hospital structures such as nurse staffing and the work environment; processes such as the rationing of care; nurse outcomes, including job satisfaction and work-life balance; and patients’ symptom burden. METHODS Match<sup>RN</sup> Psychiatry is a multicenter observational study of Swiss psychiatric hospitals. The sample for this study included approximately 1300 nurses from 113 units of 13 psychiatric hospitals in Switzerland’s German-speaking region. In addition, routine patient assessment data from each participating hospital were included. The nurse survey consisted of 164 items covering three dimensions—work environment, patient safety climate, and the rationing of care. The unit-level questionnaire included 57 items, including the number of beds, number of nurses, and nurses’ education levels. Routine patient data included items such as main diagnosis, the number and duration of freedom-restrictive measures, and symptom burden at admission and discharge. Data were collected between September 2019 and June 2021. The data will be analyzed descriptively by using multilevel regression linear mixed models and generalized linear mixed models to explore associations between variables of interest. RESULTS The response rate from the nurse survey was 71.49% (1209/1691). All data are currently being checked for consistency and plausibility. The Match<sup>RN</sup> Psychiatry study is funded by the participating psychiatric hospitals and the Swiss Psychiatric Nursing Leaders Association (Vereinigung Pflegekader Psychiatrie Schweiz). CONCLUSIONS For the first time, the Match<sup>RN</sup> Psychiatry study will systematically evaluate the quality of care in psychiatric hospitals in Switzerland in terms of organizational structures, processes, and patient and nurse outcomes. The participating psychiatric hospitals will benefit from findings that are relevant to the future planning of nurse staffing. The findings of this study will contribute to improvement strategies for nurses’ work environments and patient experiences in Swiss psychiatric hospitals. CLINICALTRIAL INTERNATIONAL REGISTERED REPORT DERR1-10.2196/26700


2020 ◽  
Vol 67 (3) ◽  
pp. 362-371
Author(s):  
Q. Chen ◽  
L. Gottlieb ◽  
D. Liu ◽  
S. Tang ◽  
Y. Bai

2019 ◽  
Vol 26 (1) ◽  
Author(s):  
Sung‐Hyun Cho ◽  
Ji‐Yun Lee ◽  
Sun Ju You ◽  
Kyung Ja Song ◽  
Kyung Jin Hong

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