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BACKGROUND: Determining the optimal number of hospital beds is a complex and challenging endeavor and requires models and techniques which are sensitive to the multi-level, uncertain, and dynamic variables involved. This study identifies and characterizes extant models and methods that can be used to determine the required number of beds at hospital and regional levels, comparing their advantages and challenges. METHODS: A systematic search was conducted using Web of Science, Scopus, Embase and PubMed databases, with the search terms hospital bed capacity, hospital bed need, hospital, bed size, model, and method. RESULTS: Twenty-three studies met the criteria to be included in the review. Of these studies, a total of 11 models and 5 methods were identified, mainly designed to determine hospital bed capacity at the regional level. Common determinants of the required number of hospital beds in these models included demographic changes, average length of stay, admission rates, and bed occupancy rates. CONCLUSIONS: There are no specific norms for the required number of beds at hospital and regional levels, but some of the identified models and methods may be used to estimate this number in different contexts. Moreover, it is important to consider alternative approaches to planning hospital capacity like care pathways to fix the limitations of "bed numbers".
Subject(s)
Hospital Bed Capacity , Hospital Planning/methods , Regional Health Planning/methods , Humans , Models, TheoreticalABSTRACT
In the original publication of this article [1], one author's name needs to be revised from Pavaneh Isfahani to Parvaneh Isfahani.
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BACKGROUND: Evaluating hospital efficiency is a process to optimize resource utilization and allocation. This is vital due to hospitals being the largest financial cost in a health system. To limit avoidable uses of hospital resources, it is important to identify the sources of hospital inefficiencies and to put in place measures towards their reduction and elimination. Thus, the purpose of this research is to examine the sources of hospital inefficiency in the Eastern Mediterranean Region, and existing strategies tackling this issue. METHODS: In this study, the electronic databases MEDLINE (via PubMed), Web of Science, Embase, Google, Google Scholar, and reference lists of selected articles, were explored. Studies on inefficiency, sources of inefficiency, and strategies for inefficiency reduction in the Eastern Mediterranean region hospitals, published between January 1999 and May 2018, were identified. A total of 1466 articles were selected using the initial criteria. After further reviews based on the inclusion and exclusion criteria, 56 studies were eligible for this study. The chosen studies were conducted in Iran (n = 35), Saudi Arabia (n = 5), Tunisia (n = 5), Jordan (n = 4), Pakistan (n = 2), the United Arab Emirates, Palestine, Iraq, Oman, and Afghanistan (n = 1 each). These studies were analyzed using content analysis in MAXQDA 10. RESULTS: The analysis showed that approximately 41% of studies used data envelopment analysis (DEA) to measure hospital efficiency. Sources of hospital inefficiency were divided into four categories for analysis: Hospital products and services, hospital workforce, hospital services delivery, and hospital system leakages. CONCLUSION: This study has revealed some sources of inefficiency in the Eastern Mediterranean Region hospitals. Inefficiencies are thought to originate from excess workforce, excess beds, inappropriate hospital sizes, inappropriate workforce composition, lack of workforce motivation, and inefficient use of health system inputs. It is suggested that health policymakers and managers use this evidence to develop appropriate strategies towards the reduction of hospital inefficiency.
Subject(s)
Efficiency, Organizational , Hospital Administration , Female , Humans , Mediterranean Region , Middle East , Oman , Pakistan , Pregnancy , TunisiaABSTRACT
Background: Recent rising costs and shortages of healthcare resources make it necessary to address the issue of hospital efficiency. Increasing the efficiency of hospitals can result in the better and more sustainable achievement of their organizational goals. Objective: The purpose of this research is to examine hospital efficiency in the Eastern Mediterranean Region (EMR) using data envelopment analysis (DEA). Methods: This study is a systematic review and meta-analysis of all articles published on hospital efficiency in Eastern Mediterranean countries between January 1999 and September 2020, identified by searching PubMed through MEDLINE, Web of Science, Scopus, Science Direct, and Google Scholar. The reference lists of these articles were checked for additional relevant studies. Finally, 37 articles were selected, and data were analyzed through Comprehensive Meta-Analysis Software (v.2.2.064). Results: Using the random-effects model, the mean hospital efficiency in Eastern Mediterranean hospitals was 0.882 ± 0.01 at 95% CI. Technical efficiency (TE) was higher in some countries such as Iraq (0.976 ± 0.035), Oman (0.926 ± 0.032), and Iran (0.921 ±0.012). A significant statistical correlation was observed between the hospital efficiency and the year of publication and sample size (p < 0.05). Conclusion: Efficiency plays a significant role in hospital growth and development. Therefore, it is important for healthcare managers and policymakers in the EMR to identify the causes of inefficiency, improve TE, and develop cost-effective strategies.
Subject(s)
Hospitals , Iran , Oman , Mediterranean Region , IraqABSTRACT
BACKGROUND: Globally, since 1 January 2020 and as of 24 January 2023, there have been over 664 million cases of COVID-19 and over 6.7 million deaths reported to WHO. WHO developed an evidence-based alert system, assessing public health risk on a weekly basis in 237 countries, territories and areas from May 2021 to June 2022. This aimed to facilitate the early identification of situations where healthcare capacity may become overstretched. METHODS: The process involved a three-stage mixed methods approach. In the first stage, future deaths were predicted from the time series of reported cases and deaths to produce an initial alert level. In the second stage, this alert level was adjusted by incorporating a range of contextual indicators and accounting for the quality of information available using a Bayes classifier. In the third stage, countries with an alert level of 'High' or above were added to an operational watchlist and assistance was deployed as needed. RESULTS: Since June 2021, the system has supported the release of more than US$27 million from WHO emergency funding, over 450 000 rapid antigen diagnostic testing kits and over 6000 oxygen concentrators. Retrospective evaluation indicated that the first two stages were needed to maximise sensitivity, where 44% (IQR 29%-67%) of weekly watchlist alerts would not have been identified using only reported cases and deaths. The alerts were timely and valid in most cases; however, this could only be assessed on a non-representative sample of countries with hospitalisation data available. CONCLUSIONS: The system provided a standardised approach to monitor the pandemic at the country level by incorporating all available data on epidemiological analytics and contextual assessments. While this system was developed for COVID-19, a similar system could be used for future outbreaks and emergencies, with necessary adjustments to parameters and indicators.
Subject(s)
COVID-19 , Public Health , Humans , Bayes Theorem , Disease Outbreaks , Retrospective Studies , World Health OrganizationABSTRACT
BACKGROUND: Developing and strengthening the competencies and skills of health care managers is a key objective in many health systems. Selecting adequate training methods, content, and using appropriate criteria for assessing their impact is fundamental for improving their usefulness and effectiveness. Filling an important gap in knowledge, this review assesses the evidence on the effectiveness of different types of training and educational programmes delivered to hospital managers. METHODS: In this narrative systematic review, the following electronic databases were searched for literature published between January 1st, 1990 and January 31st, 2019. The Joanna Briggs Institute (JBI) checklist was used to evaluate the quality of the included studies. RESULTS: In total, 9 articles were included. Results showed that the main topics covered by training programs for hospital managers were: planning, organization and coordination, control and supervision of hospital staff, teamwork, communication, motivation and leadership, monitoring and evaluation, and quality improvement skills. Training in these skills was found to improve managers' strategic and operational planning abilities, change management and behavioural management methods, and leadership. CONCLUSIONS: The examined training programs had a relatively positive effect on the managerial skills, knowledge and competencies of hospital managers. In general, these capacity-building programs focused on developing three types of skills: technical, interpersonal and conceptual. Training programs focused on developing technical skills among managers were more effective than those focused on developing other types of skills. Increased investment and large-scale planning are needed to develop better the knowledge and competencies of hospital managers.
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Health Personnel , Leadership , Communication , Hospitals , Humans , MotivationABSTRACT
The excessive use of resources, inefficiency and poor service quality in public hospitals has led developing countries to create reforms in public hospital governance, including autonomization. Hospital autonomy refers to the delegation of administrative rights to the hospital management team. The purpose of the present research is to review different aspects of hospital autonomy reforms in developing countries, such as incentives, preparations, obstacles and facilitators to change prior to implementation, impacts on achieving Universal Health Coverage (UHC) goals, challenges, outcomes and implications for implementation. A systematic review of the evidence from developing countries was performed. The results showed that these countries have undertaken autonomy reforms in order to improve the efficiency, quality and accountability of their hospitals. Also, studies emphasized the role of the World Bank in facilitation and guidance, and identified bureaucratic culture and political instability as barriers to change for the implementation of hospital autonomy reform. Preparations were limited to two key areas, i.e. ensuring access to healthcare services and ensuring the implementation of these reforms. The main challenges were lack of infrastructure, poor planning and policymaking, poor programme control, limited decision rights, inappropriate incentives and weaknesses in the accountability system. The results indicated that these reforms had no discernible effect on quality, efficiency and other management indicators, while leading to an increase in hospital costs and out-of-pocket payments. Also, implementing these reforms affected the progress toward achieving UHC. Overall, the results showed that there are two factors in failed implementation of these hospital reforms in developing countries: (1) lack of a systematic and holistic view, and (2) incomplete or poor implementation of different aspects of these reforms.