UNASSIGNED: Amidst an emerging infectious disease outbreak, the rational allocation of vaccines and medical resources is crucial for controlling the epidemic\'s progression.
UNASSIGNED: Analysing COVID-19 data in Taiyuan City from December 2022 to January 2023, this study constructed a S V 1 V 2 V 3 E I Q H R dynamics model to assess the impact of COVID-19 vaccination and resource allocation on epidemic trends.
UNASSIGNED: Vaccination significantly reduces infection rates, hospitalisations, and severe cases, while also curtailing strain on medical resources by reducing congestion periods. An early and sufficient reserve of medical resources can delay the onset of medical congestion, and with increased maximum capacity of medical resources, the congestion\'s end can be accelerated. Stronger resource allocation capabilities lead to earlier congestion resolution within a fixed total resource pool.
UNASSIGNED: Integrating vaccination and medical resource allocation can effectively reduce medical congestion duration and alleviate the epidemic\'s strain on medical resource capacity (CCMR).

To predict the development of health resource allocation in Jilin Province during the 14th 5-Year Plan period, and to provide a scientific basis for promoting the improvement of its service capacity. The data of the health resource from 2015 to 2022 were obtained from the Jilin Statistical Yearbook, and the number of medical institutions, medical beds, health technicians, licensed (assistant) physicians, registered nurses and pharmacists were selected as evaluation indicators, and the grey prediction model constructed by Python was used to predict the development from 2023 to 2025. In the 14th 5-Year Plan period, the health resource in Jilin Province showed an increasing trend, and it is predicted that in 2025, the number of medical institutions, medical beds, health technicians, licensed (assistant) physicians, registered nurses, and pharmacists in Jilin Province will reach 28,999, 196,328, 262,219, 101,273, 129,586, and 9469, respectively. Except that the pharmacist team failed to meet the planning objectives of the 14th 5-Year Plan, the remaining health resources could meet the planning requirements. The allocation level of health resources in Jilin Province has been continuously improved, but it still faces the problems that the allocation of medical beds needs to be optimized, the doctor-nurse ratio needs to be improved, the reserve of registered nurses is insufficient, there is a gap in the pharmacist team, and the development of pharmacy services is slow.

BACKGROUND: The Health and Medical Assistance Program for Poverty Alleviation is part of China\'s targeted poverty elimination strategy, which aims to protect poor people\'s right to health and prevent them from becoming trapped in or returning to poverty because of illness. Many tasks have been defined in this program, including raising the medical insurance level, providing a triage system, improving medical and health services, and enhancing people\'s health. One pivotal aspect of this initiative involves equitable health resource allocation, a key measure aimed at bolstering medical and health services. This study aimed to analyze and compare health resource allocations in different counties in Northwest China after the implementation of the program.
METHODS: The Gini coefficient quantifies the level of distributional equality, the Theil index assesses the sources of inequality, and the Health Resource Agglomeration Degree gauges the accessibility of health resources.
RESULTS: 1) The health resource allocation distributed based on population(Gini Coefficient < 0.45) was more equitable than that distributed based on area(Gini Coefficient > 0.35) among counties in Northwest China. 2) The contribution rate within non-impoverished counties is higher than that of impoverished counties, which means the inequality within non-impoverished counties. 3) The allocation of beds in medical institutions by area in non-impoverished counties was better than that in impoverished counties, and accessibility to health services for residents in non-impoverished counties was better than that in impoverished counties.
CONCLUSIONS: The analysis of health resource allocation among the five provinces in Northwest China revealed significant differences in equality among the five provinces in Northwest China, and the differences were mainly derived from the non-impoverished counties. Although the equality is gradually improving, the number of health resources in impoverished counties remain lower than that in non-impoverished counties.Subsequently, it is essential to ensure equitable distribution of healthcare resources while also taking into account their utilization and quality.

BACKGROUND: Rationing of nursing care, whichrefers to the aspects of care not delivered by nurses in an intensive care unit (ICU), has implicationsfor patient outcomes and experiences.
OBJECTIVE: This study aimed to identify the extent to which nursing care is rationed in intensive care units, as well as asses quality of nursing care, and the level of job satisfaction and its correlation with an assessment of the climate of work safety, teamwork, and a healthy work environment.
METHODS: A cross-sectional, correlational study was conducted. The study included 226 ICU nurses. It was conducted with the use of three instruments: the Perceived Implicit Rationing of Nursing Care (PRINCA) questionnaire on the rationing of nursing care, assessment of patient care quality and job satisfaction, American Association of Critical-Care Nurses Healthy Work Environment Assessment Tool (HWEAT) and the Safe Attitudes and Behaviours Questionnaire questionnaire in the version: Teamwork and Safety Climate (BePoZa).
METHODS: Intensive Care Units in Warmia and Mazury Region in Poland.
METHODS: Level of Nursing Care Rationing in Intensive Care Units.
RESULTS: The majority of participants were women (89.82 %) with a mean age of 42.47 years. The average score for nursing care rationing across all groups was 0.58. The mean score for the HWEAT was 2.7 and BePoZa was 3.72. The scores from the questionnaires were negatively correlated with the nursing care rationing scores, being -0.36 for the HWEAT and -0.45 for BePoZa. All correlation coefficients were statistically significant at a p-value of less than 0.05.
CONCLUSIONS: It is important to monitor work safety, teamwork climate, and standards of a healthy work environment in ICUs to minimise the risk of rationing nursing care.
CONCLUSIONS: Interventions that enhance work organisation and teamwork can elevate nursing quality and job satisfaction in ICUs, while underestimating patient care tasks; thus, highlighting the need for further research on the factors influencing nursing performance.

The fair allocation of scarce resources for health remains a salient topic in health care systems. Approaches for setting priorities in an equitable manner include technical ones based on health economic analyses, and ethical ones based on procedural justice. Knowledge on real-world factors that influence prioritisation at a local level, however, remains sparse. This article contributes to the empirical literature on priority-setting at the meso level by exploring how health care planners make decisions on which services to fund and to prioritise, and to what extent they consider principles of fair priority-setting. It presents the findings of an interview study with commissioners and stakeholders in South London between 2017 and 2018. Interviewees considered principles of fair prioritisation such as transparency and accountability important for offering guidance. However, the data show that in practice the adherence to principles is hampered by the difficulty of conceptualising and operationalising principles on the one hand, and the political realities in relation to reform processes on the other. To address this challenge, we apply insights from the policy and political sciences and propose a set of considerations by which current frameworks of priority-setting might be adapted to better incorporate issues of context and politics.

There are inequalities in the geographical distribution of the primary care workforce in England. Primary care networks (PCNs), and the associated Additional Roles Reimbursement Scheme (ARRS) funding, have stimulated employment of new healthcare roles. However, it is not clear whether this will impact inequalities.
To examine whether the ARRS impacted inequality in the distribution of the primary care workforce.
A retrospective before-and-after study of English PCNs in 2019 and 2022.
The study combined workforce, population, and deprivation data at network level for March 2019 and March 2022. The change was estimated between 2019 and 2022 in the slope index of inequality (SII) across deprivation of full-time equivalent (FTE) GPs (total doctors, qualified GPs, and doctors-in-training), nurses, direct patient care, administrative, ARRS and non- ARRS, and total staff per 10 000 patients.
A total of 1255 networks were included. Nurses and qualified GPs decreased in number while all other staff roles increased, with ARRS staff having the greatest increase. There was a pro- rich change in the SII for administrative staff (-0.482, 95% confidence interval [CI] = -0.841 to -0.122, P<0.01) and a pro- poor change for doctors-in-training (0.161, 95% CI = 0.049 to 0.274, P<0.01). Changes in distribution of all other staff types were not statistically significant.
Between 2019 and 2022 the distribution of administrative staff became less pro-poor, and doctors-in-training became pro-poor. The changes in inequality in all other staff groups were mixed. The introduction of PCNs has not substantially changed the longstanding inequalities in the geographical distribution of the primary care workforce.

BACKGROUND: Due to staffing constraints, several hospitals have defined targeting strategies for pharmacist-led medication order review, leaving non-targeted patients exposed to potential harmful drug-related problems (DRPs). Using targeting criteria to stratify medication order review level (level 1 (L1): orders, basic patient characteristics; level 2 (L2) or comprehensive medication order review: orders, patient characteristics, medical records, laboratory results) could make it possible to save time and increase the overall number of medication order reviews. This study aims to define targeting criteria to stratify medication order review level and estimate the time saved for the performance of additional medication order reviews.
METHODS: This retrospective single-centre study included all medication order reviews performed in 2020; DRPs were collected to assess the medication order review level required to detect them. Logistic regressions were performed to define patient characteristics associated with L2. These targeting criteria were applied to the cohort to estimate the time saved and the number of additional medication order reviews which could have been performed using this approach.
RESULTS: 2478 DRPs were reported; 54.2% (1343/2748) could have been detected using an L1 medication order review (representing 48.2% of the patients (829/1721)). L2 medication order reviews were significantly associated with age ≥65 years, male, and renal clearance <60 mL/min (OR≥75yo=1.79; OR65-74yo=1.74; ORfemale=0.74; OR30-59mL/min=1.67; OR<30mL/min=2.62; p<0.05). Sex being a confounding factor, only age and renal clearance were used as targeting criteria. The time saved was estimated at 274 hours per year, leading to an additional 1720 medication order reviews (54 hospital beds).
CONCLUSIONS: The proposed approach would maintain a satisfying level of safety and quality for patients, by performing an L2 medication order review for targeted patients based on age and renal clearance, while improving medication order review coverage with an L1 medication order review for non-targeted patients, using the available workforce.

Classical dilemmas of how to distribute limited resources have been rekindled by the rise of advanced, high-cost therapies. Building on a case study of a novel gene therapy in neuropaediatric care, this article explores the dilemmas that explicit priority setting can create for frontline professionals and develops a typology of professionals\' responses to these dilemmas. Despite political attempts to centralise priority setting and spare health professionals from having to consider treatment costs at the \'bedside\', this study shows that concern for economic efficiency and budget control nonetheless need to be handled and balanced against other accountabilities in the daily work of frontline professionals. Contributing to the sociological debate on priority setting and rationing, this study develops an analytical perspective attuned to the relational aspects of frontline work and the challenges related to the balancing of diverging ideas of good conduct. Further, focussing on an empirical field at the forefront of genomic medicine, this study brings the sociological debate on priority setting and rationing up to date with current developments in precision medicine.

OBJECTIVE: The aim of this study was to explore the experience of intensive care unit nurses under time pressure and the occurrence of implicit rationing under time pressure.
METHODS: In-depth audio-recorded interviews were conducted with 18 intensive care unit nurses. Colaizzi seven-step analysis of phenomenological data was used.
RESULTS: Three themes emerged from the analysis: the influence of internal and external environments, perceived differences in time pressure, and broad coping styles.
CONCLUSIONS: Under the influence of various factors, including continuous or intermittent time pressure, nurses employ strategies to deal with the pressure. Sometimes, these strategies allow them to complete all their necessary work. However, with the increase in time pressure, sometimes some work that must be done is changed into work that should be done in the consciousness of nurses. In such cases, nurses choose the strategy of implicit rationing to deal with time pressure.

With a stretched healthcare system and elective surgery backlog, measures to improve efficiency and decrease costs associated with surgical procedures need to be prioritized. This study compares the benefits of multi-disciplinary involvement in an enhanced recovery after surgery (ERAS) protocol-led overnight model following total hip replacement (THR) and total knee replacement (TKR).
Patients in each of two private hospitals undergoing THR or TKR were prospectively enrolled. One hospital (Overnight) was fully committed to the ERAS protocol implementation on all levels and formed the treatment group while in the other hospital (control), patients only had the anaesthetic and operative procedure as part of the ERAS protocol but did not follow the perioperative measures of the protocol. Outcomes on hospital length of stay (LOS), inpatient rehabilitation, functional outcomes, satisfaction, adverse events and readmission rates were investigated.
Median LOS in the Overnight group was significantly smaller than in the control group (1 vs. 3 days, P < 0.0001). The Overnight group had lower rates of inpatient rehabilitation utilization (4% vs. 41.2%, P < 0.0001), similar improvements in functional hip and knee scores and no increased rate of adverse events or readmission. All patients in both groups were satisfied with their treatment.
Overnight THR and TKR can safely be performed in the majority of patients, with a multi-disciplinary approach protocol and involvement of all perioperative stakeholders.