Hospital Topics最新文献

This was an observational study of hospitalized patients with dementia who developed COVID-19. The disease course, dietary intake, and disease severity (mild/severe) were evaluated. Twenty-nine patients with a median age of 84 years, with both mild (18) and severe conditions, (11) were evaluated. Mild group had decreased food intake from the day of symptom onset. In the severe group, the decline began the day before symptom onset. On day 30 of the disease, the median food intake of the mild group returned to levels observed prior to symptom onset, in contrast to those in the severe group.

The lean approach is a value-added system that reduces cost and waste to continuously improve the quality performance of the healthcare organization. The present study investigates the relationships of the lean approach with top management team and employee engagement toward quality improvement of the public hospitals in Malaysia. This study used stratified random sampling to collect data from the public hospitals' staff who were directly involved with patient services. In this study, PLS-SEM 3.3.4 was applied to measure the research constructs and hypotheses. The research findings indicate that the lean approach has a significant relationship with the top management team and employee engagement to positively impact the quality improvement of the public hospital. However, research findings also indicate that the top management team has no significant influence on quality improvement in public hospitals, but it has an indirect effect through the lean approach and employee engagement. The findings of the study will provide guidelines on how the lean approach contributes to the body of knowledge and practical implications to continuously improve the quality performance of public healthcare system.

Objective: To assess the perceived risks and impact of the COVID-19 outbreak on radiation therapists in Saudi Arabia. Methods: A questionnaire was distributed to all radiation therapists in the country. The questionnaire contained questions about demographic characteristics, the extent of the pandemic's impact on hospital resources, risk perception, work-life, leadership, and immediate supervision. The questionnaire's reliability was assessed using Cronbach's alpha; >0.7 was considered adequate. Results: Out of the 127 registered radiation therapists, 77 (60.6%) responded; 49 (63.6%) females; and 28 (36.4%) males. The mean age was 36.8 ± 12.5 years. Nine (12%) of the participants had a past experience with pandemics or epidemics. Further, 46 (59.7%) respondents correctly identified the mode of transmission of COVID-19. Approximately, 69% of the respondents perceived COVID-19 as more than a minor risk to their families and 63% to themselves. COVID-19 had an overall negative impact on work at the personal and organizational levels. However, there was a positive attitude toward organizational management during the pandemic in general; positive responses ranged from 66.2% to 82.4%. Ninety-two percent considered protective resources and 70% considered the availability of supportive staff to be adequate. Demographic characteristics were not significantly associated with the perceived risk. Conclusions: Despite the high perception of risk and negative impact on their work, radiation therapists conveyed a positive overall perception regarding resource availability, supervision, and leadership. Efforts should be made to improve their knowledge and appreciate their efforts.

The significant and apparent variance in hospital charges and inpatient care in the U.S. has perplexed the general public including many stakeholders such as the healthcare regulators and insurers. While the clinical side of inpatient care has been undergoing tremendous progress and standardization, the overall cost of healthcare has been ballooning. The purpose of this research is to conduct statistical analyses that reveal the sources of variance in hospital charges and inpatient care using the annual data from the AHRQ's (Agency for Healthcare Research and Quality) HCUP's (Hospital Cost and Utilization Project) NIS (National Inpatient Sample) database. Our focus is on non-clinical factors such as patient age, gender, income and race and hospital location data as independent variables to investigate their impact on hospital charges and inpatient care. Our research sample is the liver transplant cases in 2019 sampled in the NIS 2019 database. Our regression results show patient age and gender as well as payer affect the number of diagnoses; and hospital charges are affected by age, payer and hospital location. Number of procedures was not affected by any of these non-clinical factors except the hospital location. Implications suggest that there is more room for standardization of the number of diagnoses and procedures across regions in the US. Results also reveal that race and income do not have any effect on hospital charges and inpatient care. Our study contributes to an empirical understanding of non-clinical factors in the explanation of variance in hospital charges and inpatient care.

Background: Rural hospitals in the United States face staffing and financial challenges, low patient volumes, and aging infrastructures among others. In addition, they deal with such crises as the opioid epidemic, natural disasters, and the coronavirus.

Methods: The analyses presented in this study are based on two databases: (1) the 2019 annual survey data published by the American Hospital Association (AHA) and (2) US Department of Health and Human Services (HHS) database of US hospitals containing information related to COVID-19 for the week of November 27, 2020. Using a subset of the 2019 AHA annual survey data to which the authors acquired access, this study develops a profile of rural hospitals in America. The data are proprietary property of AHA. The authors are permitted to use the data in published research but only in aggregate form. No individual hospital metrics can be used in this report. The HHS database is public data and as such is available to all. HHS recognizes the importance of providing high-quality, accessible, and timely information for entrepreneurs, researchers, and policy makers to help drive insights and better health outcomes for all. Employing this HHS database, a cross-sectional view of the impact of COVID on small, rural hospitals in the United States is undertaken. In this study, data found in the HHS database are presented only in the aggregate form.

Results and discussion: The average small, rural hospital has 20.8 beds, 10 weekly admissions, a daily census of 6.6 patients, 145 full-time personnel, 67 part-time personnel, and a total facility expense of $27 million of which payroll expense was 41%. Due to COVID, there was an increase in admissions and outpatient visits.

Application of pharmacoeconomic data for decision making in medicines management is still nascent in most developing countries. Yet, escalating medication costs amidst rising budgetary constraints call for widespread application of economic evidence to maximize available healthcare resources. This study was a descriptive cross-sectional survey of randomly-selected hospital pharmacists from secondary and tertiary healthcare facilities in Ogun State, Southwestern Nigeria, conducted between June and August 2019. A semi-structured questionnaire was used for primary data collection. Appropriate descriptive and inferential statistics were used for data analysis at p < 0.05. Knowledge of pharmacoeconomic concepts was found to be still evolving (mean weighted average, MWA 2.07) among respondents while their ages and ranks had significant associations (P < 0.05) with their knowledge and attitudes. They had a fairly positive attitude toward pharmacoeconomic evaluations (MWA 2.997). Practice of pharmacoeconomic evaluations was inadequate (MWA 2.36). Appropriate policy action and targeted training are strongly recommended.

Introduction: One of the most essential steps in improving the quality of service delivery in the health service is the improvement of patients' medical record completeness. The aim of this study is to assess patient medical record completeness in the Saint Paul hospital department of surgery and assess the pattern of improvement in record completeness after intervention.

Methods: surgical Patient charts were randomly reviewed with a standard patient chart completeness evaluation checklist prepared by the Federal Ministry of Health. Baseline data was collected in June 2019 and post intervention data was collected in November 2019. The schedule for intervention was carried out between July and October 2019. Interventions include modification of formats, continuous monitoring, and inclusion of chart completeness in the monthly morbidity and mortality conference, and establishment of a recognition system for best performing wards.

Result: A total of 253 and 273 medical charts were evaluated during baseline and post intervention. The Post intervention assessment showed 206 (75.5%) of records had admission notes completed, 205 (75%), the order sheet was completed in 218 (79.7%) and the discharge summary was completed in 217 (79.5%) of medical records. From nursing parameters, the medication sheet was completed in 177 (64.8%) and the nursing care plan was completed in 155 (56.8%) of medical records. When all six indicators were seen in aggregate, total medical record completeness showed a statistically significant improvement from 41% during base line to 72% post intervention (p < 0.05).

Conclusion and recommendation: Study has shown that small and persistent quality improvement interventions that focus on continuous evaluation, leadership engagement, and innovative strategies bring significant improvement in record completeness.

The COVID-19 pandemic illuminated shortcomings in the ability of community hospitals in the United States to respond to crises of this nature. This has led to questions about the effectiveness of community hospital disaster preparedness. A study of hospital preparedness in New York State in 2017 revealed a number of barriers to preparedness. Among the most significant are economic barriers, given that disaster preparedness is not a reimbursable cost like patient care. The economic challenges have been exacerbated by a decline in federal disaster preparedness funding in recent years. Reflecting on previous writings, the author provides several options for overcoming these barriers to ensure hospitals are better prepared for future disasters.

Racial and ethnic minorities like Asians in the United States are significantly less likely to receive mental health treatment than Caucasians. Using 2012 Behavioral Risk Factor Surveillance System data, we examined the underutilization of mental health treatment in the US and find that being over 65 or 35-44, being unmarried, and being insured were positively associated with mental health treatment utilization, and as mentally unhealthy days increased, the utilization of treatment also increased. The paper offers a discussion on why there is this underutilization of mental health services amongst Asians and what steps can be taken to improve utilization.

Recently, technological transformation has led to critical innovations in the health sector. Hospitals can provide much better services via digital transformation. However, the desired result cannot be achieved due to the lack of organizational preparation for digital transformation. This article has introduced criteria to measure the readiness for digital transformation, and the analysis of these criteria was performed using Explanatory and Confirmatory Factor analysis. The proposed structure includes 21 items under five factors: Management Support, Current Status Tracking, Corporate Culture, Resource Reservation and Service Management. Exploring the factors for Digital readiness will be a guide for researchers, hospitals and practitioners.