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BACKGROUND: Hospitals are resurrecting the outdated "team nursing" model of staffing that substitutes lower-wage staff for registered nurses (RNs). OBJECTIVES: To evaluate whether reducing the proportion of RNs to total nursing staff in hospitals is in the best interest of patients, hospitals, and payers. RESEARCH DESIGN: Cross-sectional, retrospective. SUBJECTS: In all, 6,559,704 Medicare patients in 2676 general acute-care US hospitals in 2019. MEASURES: Patient outcomes: in-hospital and 30-day mortality, 30-day readmission, length of stay, and patient satisfaction. Avoidable Medicare costs associated with readmissions and cost savings to hospitals associated with shorter stays are projected. RESULTS: A 10 percentage-point reduction in RNs was associated with 7% higher odds of in-hospital death, 1% higher odds of readmission, 2% increase in expected days, and lower patient satisfaction. We estimate a 10 percentage-point reduction in RNs would result in 10,947 avoidable deaths annually and 5207 avoidable readmissions, which translates into roughly $68.5 million in additional Medicare costs. Hospitals would forgo nearly $3 billion in cost savings annually because of patients requiring longer stays. CONCLUSIONS: Reducing the proportion of RNs in hospitals, even when total nursing personnel hours are kept the same, is likely to result in significant avoidable patient deaths, readmissions, longer lengths of stay, and decreased patient satisfaction, in addition to excess Medicare costs and forgone cost savings to hospitals. Estimates represent only a 10 percentage-point dilution in skill mix; however, the team nursing model includes much larger reductions of 40-50 percentage-points-the human and economic consequences of which could be substantial.
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Tempo de Internação , Medicare , Recursos Humanos de Enfermagem Hospitalar , Readmissão do Paciente , Admissão e Escalonamento de Pessoal , Humanos , Recursos Humanos de Enfermagem Hospitalar/economia , Recursos Humanos de Enfermagem Hospitalar/provisão & distribuição , Estudos Transversais , Estudos Retrospectivos , Admissão e Escalonamento de Pessoal/estatística & dados numéricos , Estados Unidos , Medicare/economia , Medicare/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Masculino , Feminino , Satisfação do Paciente , Mortalidade Hospitalar , IdosoRESUMO
AIM: To examine if and how selected German hospitals use nurse-sensitive clinical indicators and perspectives on national/international benchmarking. DESIGN: Qualitative study. METHODS: In 2020, 18 expert interviews were conducted with key informants from five purposively selected hospitals, being the first in Germany implementing Magnet® or Pathway®. Interviews were analyzed using content analysis with deductive-inductive coding. The study followed the COREQ guideline. RESULTS: Three major themes emerged: first, limited pre-existence of and necessity for nurse-sensitive data. Although most interviewees reported data collection for hospital-acquired pressure ulcers and falls with injuries, implementation varied and interviewees highlighted the necessity to develop additional nurse-sensitive indicators for the German context. Second, the theme creating an enabling data environment comprised building clinicians' acceptance, establishing a data culture, and reducing workload by using electronic health records. Third, challenges and opportunities in establishing benchmarking were identified but most interviewees called for a national or European benchmarking system. CONCLUSION: The need for further development of nurse-sensitive clinical indicators and its implementation in practice was highlighted. Several actions were suggested at hospital level to establish an enabling data environment in clinical care, including a nationwide or European benchmarking system. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Involving nurses in data collection, comparison and benchmarking of nurse-sensitive indicators and their use in practice can improve quality of patient care. IMPACT: Nurse-sensitive indicators were rarely collected, and a need for action was identified. The study results show research needs on nurse-sensitive indicators for Germany and Europe. Measures were identified to create an enabling data environment in hospitals. An initiative was started in Germany to establish a nurse-sensitive benchmarking capacity. PATIENT OR PUBLIC CONTRIBUTION: Clinical practitioners and nurse/clinical managers were interviewed.
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The Practice Environment Scale of the Nursing Work Index (PES-NWI) has been utilized for two decades globally to measure nurse work environments. Its 31 items in five domains present a substantial respondent burden, threatening survey response rates. The purpose of this study was to derive and validate a short form: the PES-5. We conducted a cross-sectional, secondary analysis of survey data from nurses in 760 hospitals in six U.S. states in 2016 or 2019. One representative item per subscale was selected by highest item-to-subscale R2 from the original PES-NWI publication. Five psychometric properties of the PES-5 were evaluated. The reproduced structure of the full form was confirmed in the 2016 data by the highest R2 for the selected items. The unidimensional structure of the PES-5 was confirmed through confirmatory factor analysis. The correlation between the composite values of the 28-item and 5-item versions was 0.94. The Cronbach's alpha reliability of the PES-5 was >0.80. The intraclass correlation coefficient (ICC 1, k), which evaluates the stability of aggregated values when data are clustered, i.e., nurses are nested within hospitals, was >0.80 in both datasets, demonstrating satisfactory aggregate properties. Construct validity was supported by the selected items being ranked highly in their respective subscales by an expert panel. Criterion validity was supported by an analysis of variance of the PES-5 mean value across responses to a single-item work environment measure. Similar patterns of relationships with other key variables were identified by statistically significant odds ratios in regression models predicting patient mortality from the PES-5. The classification accuracy of the PES-5 was high, with 88% of hospitals classified identically by both versions. The PES-5 shows promise for measurement of nurses' work environments while maximizing response rate by reducing participant burden.
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Psicometria , Local de Trabalho , Humanos , Estudos Transversais , Feminino , Inquéritos e Questionários/normas , Reprodutibilidade dos Testes , Masculino , Local de Trabalho/psicologia , Adulto , Estados Unidos , Pessoa de Meia-Idade , Recursos Humanos de Enfermagem Hospitalar/estatística & dados numéricos , Recursos Humanos de Enfermagem Hospitalar/psicologia , Satisfação no EmpregoRESUMO
BACKGROUND: During the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths. OBJECTIVE: To determine whether hospital differences in pre-pandemic and during pandemic nursing resources-average patient-to-registered nurse (RN) staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition-explain differences in risk-adjusted Covid-19 mortality; and to estimate how many deaths may have been prevented if nurses were better resourced prior to and during the pandemic. METHODS: This is a cross-sectional study of 87,936 Medicare beneficiaries (65-99â¯years old) hospitalized with Covid-19 and discharged (or died) between April 1 and December 31, 2020, in 237 general acute care hospitals in New York and Illinois. Measures of hospital nursing resources (i.e. patient-to-RN staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition) in the pre-pandemic period (December 2019 to February 2020) and during (April to June 2021) were used to predict in-hospital and 30-day mortality using adjusted logistic regression models. RESULTS: The mean age of patients was 78â¯years (8.6 SD); 51â¯% were male (nâ¯=â¯44,998). 23â¯% of patients admitted to the hospital with Covid-19 died during the hospitalization (nâ¯=â¯20,243); 31.5â¯% died within 30-days of admission (nâ¯=â¯27,719). Patients admitted with Covid-19 to hospitals with better nursing resources pre-pandemic and during the pandemic were statistically significantly less likely to die. For example, each additional patient in the average nurses' workload pre-pandemic was associated with 20â¯% higher odds of in-hospital mortality (OR 1.20, 95â¯% CI [1.12-1.28], pâ¯<â¯0.001) and 15â¯% higher odds of 30-day mortality (OR 1.15, 95â¯% CI [1.09-1.21], pâ¯<â¯0.001). Hospitals with greater proportions of BSN-qualified RNs, better quality nurse work environments, and Magnet recognition offered similar protective benefits to patients during the pandemic. If all hospitals in the study had superior nursing resources prior to or during the pandemic, models estimate many thousands of deaths among patients hospitalized with Covid-19 could have been avoided. CONCLUSIONS: Patients with Covid-19 admitted to hospitals with adequate numbers of RNs caring for patients, a workforce rich in BSN-qualified RNs, and high-quality nurse work environments (both prior to and during the Covid-19 pandemic) were more likely to survive the hospitalization. Bolstering these hospital nursing resources during ordinary times is necessary to ensure better patient outcomes and emergency-preparedness of hospitals for future public health emergencies.
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Higher nurse-to-patient ratios are associated with poor patient care and adverse nurse outcomes, including emotional exhaustion and intention to leave. We examined the effect of nurses' intention to leave and nurse-patient workload on in-hospital patient mortality in Italy. A multicentered descriptive and regression study using clinical data of patients aged 50 years or older with a hospital stay of at least two days admitted to surgical wards linked with nurse variables including workload and education levels, work environment, job satisfaction, intention to leave, nurses' perception of quality and safety of care, and emotional exhaustion. The final dataset included 15 hospitals, 1046 nurses, and 37,494 patients. A 10 % increase in intention to leave and an increase of one unit in nurse-patient workload increased likelihood of inpatient hospital mortality by 14 % (odds ratio 1.14; 1.02-1.27 95 % CI) and 3.4 % (odds ratio 1.03; 1.00-1.06 95 % CI), respectively. No other studies have reported a significant association between intention to leave and patient mortality. To improve patient outcomes, the healthcare system in Italy needs to implement policies on safe human resources policy stewardship, leadership, and governance to ensure nurse wellbeing, higher levels of safety, and quality nursing care.
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Enfermeiras e Enfermeiros , Recursos Humanos de Enfermagem Hospitalar , Humanos , Carga de Trabalho , Pacientes Internados , Mortalidade Hospitalar , Intenção , Itália , Satisfação no Emprego , Hospitais , Inquéritos e Questionários , Reorganização de Recursos HumanosRESUMO
OBJECTIVES: To determine the well-being of physicians and nurses in hospital practice in Europe, and to identify interventions that hold promise for reducing adverse clinician outcomes and improving patient safety. DESIGN: Baseline cross-sectional survey of 2187 physicians and 6643 nurses practicing in 64 hospitals in six European countries participating in the EU-funded Magnet4Europe intervention to improve clinicians' well-being. SETTING: Acute general hospitals with 150 or more beds in six European countries: Belgium, England, Germany, Ireland, Sweden and Norway. PARTICIPANTS: Physicians and nurses with direct patient contact working in adult medical and surgical inpatient units, including intensive care and emergency departments. MAIN OUTCOME MEASURES: Burnout, job dissatisfaction, physical and mental health, intent to leave job, quality of care and patient safety and interventions clinicians believe would improve their well-being. RESULTS: Poor work/life balance (57% physicians, 40% nurses), intent to leave (29% physicians, 33% nurses) and high burnout (25% physicians, 26% nurses) were prevalent. Rates varied by hospitals within countries and between countries. Better work environments and staffing were associated with lower percentages of clinicians reporting unfavourable health indicators, quality of care and patient safety. The effect of a 1 IQR improvement in work environments was associated with 7.2% fewer physicians and 5.3% fewer nurses reporting high burnout, and 14.2% fewer physicians and 8.6% fewer nurses giving their hospital an unfavourable rating of quality of care. Improving nurse staffing levels (79% nurses) and reducing bureaucracy and red tape (44% physicians) were interventions clinicians reported would be most effective in improving their own well-being, whereas individual mental health interventions were less frequently prioritised. CONCLUSIONS: Burnout, mental health morbidities, job dissatisfaction and concerns about patient safety and care quality are prevalent among European hospital physicians and nurses. Interventions to improve hospital work environments and staffing are more important to clinicians than mental health interventions to improve personal resilience.
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Esgotamento Profissional , Recursos Humanos de Enfermagem Hospitalar , Adulto , Humanos , Estudos Transversais , Segurança do Paciente , Recursos Humanos de Enfermagem Hospitalar/psicologia , Esgotamento Profissional/epidemiologia , Europa (Continente) , Hospitais Gerais , Pacientes Internados , Satisfação no Emprego , Inquéritos e QuestionáriosRESUMO
Background: International evidence shows that there are organizational factors and nurse job outcomes that may negatively affect healthcare quality. Aim: To measure and analyze associations between nurse organizational factors, such as staffing ratios and skill mix, and job outcomes in public hospitals in Chile. Material and Methods: An observational, cross-sectional study of 1,855 registered nurses working in medical-surgical units in 37 public hospitals was conducted. Data collection followed the RN4CAST research protocol. Inferential analyses used logistic regression models. Results: The survey was answered by 1,395 registered nurses in 34 hospitals. The average staffing ratio was 14 patients-per-nurse, and the average skill mix was 31% registered nurses. Of all nurses, 35% reported burnout, 22% were dissatisfied, and 33% intended to leave. Being burned out increased by 9 and 6% the odds of being dissatisfied and the intent to leave, respectively (Odds ratio (OR) 1.09, p < 0.01 and 1.06, p < 0.01). Being dissatisfied increased by five times the odds of intent to leave (OR 5.19, p < 0.01). Conclusions: Staffing levels, burnout, and intent to leave warrant healthcare and governmental authorities' attention. All these factors may be threatening healthcare quality and safety.