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In this cluster-randomized trial involving 63 internal-medicine residency programs governed by either the 2011 ACGME duty-hour rules or more flexible duty-hour rules, flexible duty-hour policies did not increase 30-day mortality or adversely affect several other patient safety outcomes.

U.S. internal-medicine residency programs were randomly assigned to standard duty-hour policies or more flexible policies, which maintained the 80-hour workweek limit but did not require limits on shift length. Sleep duration and morning sleepiness were similar for interns in standard programs and those in flexible programs.

PurposeTo study whether ICU staffing features are associated with improved hospital mortality, ICU length of stay (LOS) and duration of mechanical ventilation (MV) using cluster analysis directed by machine learning.MethodsThe following variables were included in the analysis: average bed to nurse, physiotherapist and physician ratios, presence of 24/7 board-certified intensivists and dedicated pharmacists in the ICU, and nurse and physiotherapist autonomy scores. Clusters were defined using the partition around medoids method. We assessed the association between clusters and hospital mortality using logistic regression and with ICU LOS and MV duration using competing risk regression.ResultsAnalysis included data from 129,680 patients admitted to 93 ICUs (2014–2015). Three clusters were identified. The features distinguishing between the clusters were: the presence of board-certified intensivists in the ICU 24/7 (present in Cluster 3), dedicated pharmacists (present in Clusters 2 and 3) and the extent of nurse autonomy (which increased from Clusters 1 to 3). The patients in Cluster 3 exhibited the best outcomes, with lower adjusted hospital mortality [odds ratio 0.92 (95% confidence interval (CI), 0.87–0.98)], shorter ICU LOS [subhazard ratio (SHR) for patients surviving to ICU discharge 1.24 (95% CI 1.22–1.26)] and shorter durations of MV [SHR for undergoing extubation 1.61(95% CI 1.54–1.69)]. Cluster 1 had the worst outcomes.ConclusionPatients treated in ICUs combining 24/7 expert intensivist coverage, a dedicated pharmacist and nurses with greater autonomy had the best outcomes. All of these features represent achievable targets that should be considered by policy makers with an interest in promoting equal and optimal ICU care.

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.

Reducing severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infections among healthcare workers is critical. We ran Monte Carlo simulations modeling the spread of SARS-CoV-2 in non–COVID-19 wards, and we found that longer nursing shifts and scheduling designs in which teams of nurses and doctors co-rotate no more frequently than every 3 days can lead to fewer infections.

Background Disinvestment from inefficient or ineffective health services is a growing priority for health care systems. Provision of allied health services over the weekend is now commonplace despite a relative paucity of evidence supporting their provision. The relatively high cost of providing this service combined with the paucity of evidence supporting its provision makes this a potential candidate for disinvestment so that resources consumed can be used in other areas. This study aims to determine the effectiveness, cost-effectiveness and safety of the current model of weekend allied health service and a new stakeholder-driven model of weekend allied health service delivery on acute medical and surgical wards compared to having no weekend allied health service. Methods/Design Two stepped wedge, cluster randomised trials of weekend allied health services will be conducted in six acute medical/surgical wards across two public metropolitan hospitals in Melbourne (Australia). Wards have been chosen to participate by management teams at each hospital. The allied health services to be investigated will include physiotherapy, occupational therapy, speech therapy, dietetics, social work and allied health assistants. At baseline, all wards will be receiving weekend allied health services. Study 1 intervention will be the sequential disinvestment (roll-in) of the current weekend allied health service model from each participating ward in monthly intervals and study 2 will be the roll-out of a new stakeholder-driven model of weekend allied health service delivery. The order in which weekend allied health services will be rolled in and out amongst participating wards will be determined randomly. This trial will be conducted in each of the two participating hospitals at a different time interval. Primary outcomes will be length of stay, rate of unplanned hospital readmission within 28 days and rate of adverse events. Secondary outcomes will be number of complaints and compliments, staff absenteeism, and patient discharge destination, satisfaction, and functional independence at discharge. Discussion This is the world’s first application of the recently described non-inferiority (roll-in) stepped wedge trial design, and the largest investigation of the effectiveness of weekend allied health services on acute medical surgical wards to date. Trial registration Australian New Zealand Clinical Trials Registry. Registration number: ACTRN12613001231730 (first study) and ACTRN12613001361796 (second study). Was this trial prospectively registered?: Yes. Date registered: 8 November 2013 (first study), 12 December 2013 (second study). Anticipated completion: June 2015. Protocol version: 1. Role of trial sponsor: KP and DL are directly employed by one of the trial sponsors, their roles were: KP assisted with overall development of research design and assisted with overall project management; DL contributed to project management, administration and communications strategy.

Background Redeployment was critical in addressing the increased demands of COVID-19 on the healthcare system. Previous research indicates that ethnic minority healthcare workers (HCWs), those on visas, and in junior roles, were more likely to be redeployed to COVID-19 duties compared to White UK-born HCWs. There is limited evidence on how redeployment was practically organized, preparedness of HCWs and the NHS for rapid changes, and the decision-making processes involved. This paper discusses HCWs’ redeployment experiences, their alignment with NHS policy for deploying staff safely, and potential links to staff attrition. Methods As part of the United Kingdom Research study into Ethnicity And COVID-19 outcomes among Healthcare workers, we conducted a qualitative sub-study, between December 2020 and July 2021, consisting of interviews and focus groups with 164 HCWs from different ethnicities, genders, job roles, migration statuses, and UK regions. Sessions were conducted online or by telephone, recorded, transcribed and analysed with participants’ consent. We utilised the breadth-and-depth approach, initially identifying transcripts mentioning redeployment or changes in work patterns, followed by an in-depth thematic analysis. Results Of the 164 HCWs, 22 (13.4%) reported redeployment to a new role, while 42 (26.8%) reported changes in their working patterns. Redeployment experiences varied based on HCWs’ workplaces, skillsets, input into decisions, and perceived risks. Four themes were identified: 1. redeployment and the changing nature of work, 2. pandemic (un)preparedness, 3. redeployment decision-making, and 4. risk assessments in the context of redeployment. Our data revealed the practical realities of redeployment, including discrepancies between the NHS policy and actual practices, particularly early deployment without adequate training and supervision. The lack of planning and preparedness had an operational and emotional impact on HCWs, affecting their morale. Lastly, some HCWs felt disempowered and undervalued due to a lack of agency in redeployment decisions. Conclusion This study highlights HCWs’ redeployment experiences during COVID-19, the conditions under which it occurred, and its impacts. The findings, although rooted in the pandemic, remain relevant for addressing staffing challenges in the healthcare workforce. We recommend future redeployment strategies prioritise HCWs' training and supervision, ensure strategic planning with clear communication and support for all staff, foster a sense of value among HCWs, and integrate an intersectional equity lens into workforce planning to improve staff retention and morale.

To enhance nurse-staffing levels in the wards of a tertiary referral hospital by applying a patient classification system based on patient acuity, setting up a new organizational structure in the hospital wards. A retrospective analysis based on administrative data from an electronic patient database. The data were obtained from the clinical data warehouse of multiple databases from a tertiary referral hospital in Spain and analyzed from January 1st, 2018, to December 31st, 2019. The care plan and the weight of the main diagnosis from 52,974 adult patients admitted to 40 hospital units were analyzed and classified into patient acuity using the acute to intensive care (ATIC) classification system. The frequency of the ten acuity groups was analyzed, and the optimal patient-to-nurse ratio was defined according to the system and the hours effectively assigned to the care units. The percentage of patient needs that were met was also established. Finally, the distribution of the wards was rearranged based on the results. The findings show that patients were mostly clustered in the following groups according to their acuity level: intensification (38.1%), intermediate (30.4%), and acute (21.8%). Therefore, the wards were reorganized into the three dominant levels: four acute, 17 intensification, and 19 intermediate units. A viable model was implemented to provide the number of nurse/patient/day hours by incorporating 104 nurses and improving nursing coverage by 17.4%. The structuring of care units according to the intensity of care has resulted in a significant enhancement in nursing coverage by improving the hours of care needed according to acuity levels. The findings provide valuable information regarding nurse staffing in hospitals, emphasizing the importance of defining the optimal patient-to-nurse ratio. Establishing this ratio is crucial for improving care quality and ensuring patient safety. This study's methods and results have been reported following the STROBE checklist. No patient or public contributed to design this research. However, patients will contribute later as part of a broader project when we explore their perception following the implementation of a management model based on nursing care intensity.

Shorter resident duty periods are increasingly mandated to improve patient safety and physician well-being. However, increases in continuity-related errors may counteract the purported benefits of reducing fatigue. We evaluated the effects of 3 resident schedules in the intensive care unit (ICU) on patient safety, resident well-being and continuity of care. Residents in 2 university-affiliated ICUs were randomly assigned (in 2-month rotation-blocks from January to June 2009) to in-house overnight schedules of 24, 16 or 12 hours. The primary patient outcome was adverse events. The primary resident outcome was sleepiness, measured by the 7-point Stanford Sleepiness Scale. Secondary outcomes were patient deaths, preventable adverse events, and residents’ physical symptoms and burnout. Continuity of care and perceptions of ICU staff were also assessed. We evaluated 47 (96%) of 49 residents, all 971 admissions, 5894 patient-days and 452 staff surveys. We found no effect of schedule (24-, 16- or 12-h shifts) on adverse events (81.3, 76.3 and 78.2 events per 1000 patient-days, respectively; p = 0.7) or on residents’ sleepiness in the daytime (mean rating 2.33, 2.61 and 2.30, respectively; p = 0.3) or at night (mean rating 3.06, 2.73 and 2.42, respectively; p = 0.2). Seven of 8 preventable adverse events occurred with the 12-hour schedule (p = 0.1). Mortality rates were similar for the 3 schedules. Residents’ somatic symptoms were more severe and more frequent with the 24-hour schedule (p = 0.04); however, burnout was similar across the groups. ICU staff rated residents’ knowledge and decision-making worst with the 16-hour schedule. Our findings do not support the purported advantages of shorter duty schedules. They also highlight the trade-offs between residents’ symptoms and multiple secondary measures of patient safety. Further delineation of this emerging signal is required before widespread system change. Trial registration: ClinicalTrials.gov, no. NCT00679809.

ABSTRACT Background A key goal of resident duty hour reform by the Accreditation Council for Graduate Medical Education (ACGME) in 2003 was to improve patient outcomes. Objective To assess whether the reform led to a change in readmission rates. Design Observational study using multiple time series analysis with hospital discharge data from July 1, 2000 to June 30, 2005. Fixed effects logistic regression was used to examine the change in the odds of readmission in more versus less teaching-intensive hospitals before and after duty hour reform. Participants All unique Medicare patients (n = 8,282,802) admitted to acute-care nonfederal hospitals with principal diagnoses of acute myocardial infarction, congestive heart failure, gastrointestinal bleeding, or stroke (combined medical group), or a DRG classification of general, orthopedic, or vascular surgery (combined surgical group). Main measures Primary outcome was 30-day all-cause readmission. Secondary outcomes were (1) readmission or death within 30 days of discharge, and (2) readmission, death during the index admission, or death within 30 days of discharge. Key Results For the combined medical group, there was no evidence of a change in readmission rates in more versus less teaching-intensive hospitals [OR = 0.99 (95% CI 0.94, 1.03) in post-reform year 1 and OR = 0.99 (95% CI 0.95, 1.04) in post-reform year 2]. There was also no evidence of relative changes in readmission rates for the combined surgical group: OR = 1.03 (95% CI 0.98, 1.08) for post-reform year 1 and OR = 1.02 (95% CI 0.98, 1.07) for post-reform year 2. Findings for the secondary outcomes combining readmission and death were similar. Conclusions Among Medicare beneficiaries, there were no changes in hospital readmission rates associated with resident duty hour reform.