Doctors’ working conditions, wellbeing and hospital quality of care: A multilevel analysis

2021 ◽  
Vol 135 ◽  
pp. 105115
Author(s):  
Kevin Rui-Han Teoh ◽  
Juliet Hassard ◽  
Tom Cox
Keyword(s):  
Quality Of Care ◽  
Multilevel Analysis ◽  
Working Conditions ◽  
Hospital Quality

Nurses’ reports of working conditions and hospital quality of care in 12 countries in Europe

2013 ◽  
Vol 50 (2) ◽  
pp. 143-153 ◽  
Author(s):  
Linda H. Aiken ◽  
Douglas M. Sloane ◽  
Luk Bruyneel ◽  
Koen Van den Heede ◽  
Walter Sermeus
Keyword(s):  
Quality Of Care ◽  
Working Conditions ◽  
Hospital Quality

scholarly journals Nurse reported quality of care: A measure of hospital quality

2012 ◽  
Vol 35 (6) ◽  
pp. 566-575 ◽  
Author(s):  
Matthew D. McHugh ◽  
Amy Witkoski Stimpfel
Keyword(s):  
Quality Of Care ◽  
Hospital Quality

Abstract 13776: The Impact of Race on In-hospital Quality of Care Among Young Adults With Acute Myocardial Infarction

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Diana Benea ◽  
Valeria Raparelli ◽  
hassan behlouli ◽  
Louise Pilote ◽  
Rachel Dryer
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Young Adults ◽  
Quality Of Care ◽  
Clinical Characteristics ◽  
Hospital Quality ◽  
P Value ◽  
White Race

Introduction: The extent to which race influences in-hospital quality of care among young adults with acute myocardial infarction (AMI) is unknown. We examined racial differences in in-hospital quality of AMI care in young adults and described the patient and/or clinical characteristics associated with potential disparities in care. Methods: Data from the GENESIS-PRAXY (Canada) and the VIRGO (U.S.) prospective cohorts of young adults with AMI were analyzed. Among a total of 4,048 adults with AMI (≤55 years) (median=49 years [IQR 44-52], 22% non-white, 58% women), we calculated an in-hospital quality of care score (QCS) for AMI (quality indicators divided by total, with higher scores indicating better care) based on AHA quality of care standards, reporting data disaggregated by race. We categorized race as white versus non-white, which included Black, Asian and North American Indigenous populations. Results: This cohort was comprised of 906 non-white individuals and 3142 white individuals. Non-white adults exhibited a clustering of adverse cardiac risk factors, psychosocial risk factors and comorbidities versus whites; they had higher rates of hypertension, diabetes, alcohol abuse and prior AMI and lower rates of physical activity. They were more likely to have a low SES and receive low social support, and were less likely to be employed, a primary earner, or married/living with a partner. Non-white individuals were also more likely to experience a NSTEMI and less likely to receive cardiac rehabilitation, smoking cessation counseling as well as dual antiplatelet therapy at discharge. Furthermore, non-white individuals had a lower crude QCS than whites (QCS=69.99 vs 73.29, P-value<0.0001). In the multivariable model adjusted for clinical and psychosocial factors, non-white race (LS Mean Difference=-1.49 95%CI -2.87, -0.11, P-value=0.0344) was independently associated with a lower in-hospital QCS. Conclusion: Non-white individuals with AMI exhibited higher rates of adverse psychosocial and clinical characteristics than white individuals yet non-white race was independently associated with lower in-hospital quality of care. Interventions are needed to improve quality of AMI care in non-white young adults.

Effects of Individual Nurse and Hospital Characteristics on Patient Adverse Events and Quality of Care: A Multilevel Analysis

2018 ◽  
Vol 50 (4) ◽  
pp. 432-440 ◽  
Author(s):  
Seung Eun Lee ◽  
Catherine Vincent ◽  
V. Susan Dahinten ◽  
Linda D. Scott ◽  
Chang Gi Park ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Adverse Events ◽  
Multilevel Analysis ◽  
Hospital Characteristics

Does Quality Improvement Implementation Affect Hospital Quality of Care?

2007 ◽  
Vol 85 (2) ◽  
pp. 3-12 ◽  
Author(s):  
Jeffrey A. Alexander ◽  
Bryan J. Weiner ◽  
Stephen M. Shortell ◽  
Laurence C. Baker
Keyword(s):  
Quality Improvement ◽  
Quality Of Care ◽  
Hospital Quality

scholarly journals A decade of commitment to hospital quality of care: overview of and perceptions on multicomponent quality improvement policies involving accreditation, public reporting, inspection and pay-for-performance

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Astrid Van Wilder ◽  
Jonas Brouwers ◽  
Bianca Cox ◽  
Luk Bruyneel ◽  
Dirk De Ridder ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Quality Of Care ◽  
Acute Care ◽  
Government Policy ◽  
Online Survey ◽  
Pay For Performance ◽  
Acute Care Hospitals ◽  
Public Reporting ◽  
Hospital Quality

Abstract Background Quality improvement (QI) initiatives such as accreditation, public reporting, inspection and pay-for-performance are increasingly being implemented globally. In Flanders, Belgium, a government policy for acute-care hospitals incorporates aforementioned initiatives. Currently, questions are raised on the sustainability of the present policy. Objective First, to summarise the various initiatives hospitals have adopted under government encouragement between 2008 and 2019. Second, to study the perspectives of healthcare stakeholders on current government policy. Methods In this multi-method study, we collected data on QI initiative implementation from governmental and institutional sources and through an online survey among hospital quality managers. We compiled an overview of QI initiative implementation for all Flemish acute-care hospitals between 2008 (n = 62) and 2019 (n = 53 after hospital mergers). Stakeholder perspectives were assessed via a second survey available to all healthcare employees and a focus group with healthcare policy experts was consulted. Variation between professions was assessed. Results QI initiatives have been increasingly implemented, especially from 2016 onwards, with the majority (87%) of hospitals having obtained a first accreditation label and all hospitals publicly reporting performance indicators, receiving regular inspections and having entered the pay-for-performance initiative. On the topic of external international accreditation, overall attitudes within the survey were predominantly neutral (36.2%), while 34.5% expressed positive and 29.3% negative views towards accreditation. In examining specific professional groups in-depth, we learned 58% of doctors regarded accreditation negatively, while doctors were judged to be the largest contributors to quality according to the majority of respondents. Conclusions Hospitals have demonstrated increased efforts into QI, especially since 2016, while perceptions on currently implemented QI initiatives among healthcare stakeholders are heterogeneous. To assure quality of care remains a top-priority for acute-care hospitals, we recommend a revision of the current multicomponent quality policy where the adoption of all initiatives is streamlined and co-created bottom-up.

scholarly journals Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews

2021 ◽  
Vol 18 (18) ◽  
pp. 9912
Author(s):  
Afiq Izzudin A. Rahim ◽  
Mohd Ismail Ibrahim ◽  
Kamarul Imran Musa ◽  
Sook-Ling Chua ◽  
Najib Majdi Yaacob
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Quality Of Care ◽  
Service Quality ◽  
Hospital Quality ◽  
Public Hospitals ◽  
Social Media Data ◽  
Positive Sentiment ◽  
Media Data

Social media is emerging as a new avenue for hospitals and patients to solicit input on the quality of care. However, social media data is unstructured and enormous in volume. Moreover, no empirical research on the use of social media data and perceived hospital quality of care based on patient online reviews has been performed in Malaysia. The purpose of this study was to investigate the determinants of positive sentiment expressed in hospital Facebook reviews in Malaysia, as well as the association between hospital accreditation and sentiments expressed in Facebook reviews. From 2017 to 2019, we retrieved comments from 48 official public hospitals’ Facebook pages. We used machine learning to build a sentiment analyzer and service quality (SERVQUAL) classifier that automatically classifies the sentiment and SERVQUAL dimensions. We utilized logistic regression analysis to determine our goals. We evaluated a total of 1852 reviews and our machine learning sentiment analyzer detected 72.1% of positive reviews and 27.9% of negative reviews. We classified 240 reviews as tangible, 1257 reviews as trustworthy, 125 reviews as responsive, 356 reviews as assurance, and 1174 reviews as empathy using our machine learning SERVQUAL classifier. After adjusting for hospital characteristics, all SERVQUAL dimensions except Tangible were associated with positive sentiment. However, no significant relationship between hospital accreditation and online sentiment was discovered. Facebook reviews powered by machine learning algorithms provide valuable, real-time data that may be missed by traditional hospital quality assessments. Additionally, online patient reviews offer a hitherto untapped indication of quality that may benefit all healthcare stakeholders. Our results confirm prior studies and support the use of Facebook reviews as an adjunct method for assessing the quality of hospital services in Malaysia.

scholarly journals Condições de trabalho de enfermagem e adoecimento: motivos para a redução da jornada de trabalho para 30 horas

2012 ◽  
Vol 3 (4) ◽  
pp. 178-181 ◽  
Author(s):  
Vanda Elisa Andres Felli
Keyword(s):  
Quality Of Care ◽  
Occupational Health ◽  
Working Conditions ◽  
Working Condition ◽  
Work Hours ◽  
Work Absenteeism ◽  
Absence From Work ◽  
The Impact ◽  
Reflexive Analysis

O texto tem por objetivo fazer uma análise reflexiva sobre as condições de trabalho e adoecimento dos trabalhadores de enfermagem, determinadas por jornadas superiores a 30 horas. Partindo da análise do contexto do trabalho de enfermagem, o texto analisa as condições de trabalho e as suas implicações no adoecimento dos trabalhadores. Traz como consequências a diminuição da capacidade para o trabalho, o absenteísmo, a elevação de custos dos afastamentos, o impacto sobre o perfil de morbi-mortalidade dos trabalhadores e as implicações sobre a qualidade da assistência. Conclui-se que é necessário controlar a insalubridade, a periculosidade e a penosidade desse trabalho.Descritores: Enfermagem, Saúde do Trabalhador, Condições de Trabalho, Jornada de Trabalho, Morbidade.Nursing working condition and sickness: reasons why to reduce the work journey to 30 hoursThe text aims to do a reflexive analysis about the working conditions and sickness of nursing workers, determined for journeys exceeding 30 hours. Based on the analysis of the context of nursing work, the text examines the working conditions and their implications in illness among workers. Also, the text brings as consequences the decreased capacity to work, absenteeism, higher costs of absence from work, the impact on morbidity and mortality profile of workers and the implications on the quality of care. It is concluded that it is necessary to control the insalubrity, dangerousness and painfulness of this work.Descriptors: Nursing, Occupational Health, Working Conditions, Work Hours, Morbidity.Condiciones de trabajo de enfermería y enfermedad: motivos para la reducción de jornada para trabajar 30 horasEl texto tiene como objetivo analizar reflexivamente sobre las condiciones de trabajo y enfermedades de los trabajadores de enfermería, determinado por turnos que excedan 30 horas. Con base en el análisis del contexto del trabajo de enfermería, el texto analiza las condiciones de trabajo y sus implicaciones en la enfermedad entre los trabajadores. Trae consecuencias como la disminución de la capacidad de trabajo, ausentismo, costos más altos de las ausencias, el impacto en lo perfil de morbilidad y mortalidad de los trabajadores y las implicaciones en la calidad de la atención. Se concluye que es necesario controlar la insalubridad, peligrosidad y doloroso trabajo.Descriptores: Enfermería, Salud del Trabajador, Condiciones de Trabajo, Día de Trabajo, Morbidad.

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