Relationship between fine particulate matter (PM2.5) concentration and risk of hospitalization due to chronic obstructive pulmonary disease: a systematic review and meta-analysis.

BACKGROUND: Short-term exposure to PM2.5 has been associated with human health risks. However, evidence on the association between short-term exposure to PM2.5 and the risk of chronic obstructive pulmonary disease (COPD) remains limited and controversial. This study aimed to specifically assess the relationship between exposure to PM2.5 and the risk of hospitalization due to COPD. METHODS: A systematic search was conducted in PubMed, Web of Science, and Google Scholar databases from January 1, 2010 to May 1, 2022. The odds ratio (OR) statistic was calculated as a common measure of effect size. Publication bias was also examined in all eligible studies on COPD hospitalization using funnel plots and Egger's test, as well as trim-and-fill method for missing studies on COPD hospitalization. RESULTS: A total of 19 studies were included in this meta-analysis. Random-effects models were plotted to calculate the pooled effect size by measuring OR (χ2 = 349.95; df = 18; I2 = 94.86%; P = 0.007; Z = 2.68; P < 0.001). A 10-mg/m3 daily increase in PM2.5 concentration was associated with a 1.6% (95% CI: 0.4-2.9%) increase in COPD hospitalization. There was no publication bias regarding the association between COPD hospitalization and PM2.5 (bias = 1.508; 95% CI: -1.475, 4.491; t = 1.066; P = 0.301). The subgroups of age ≥ 65 years and Asian countries were associated with an increased risk of COPD hospitalization. Besides, higher risks were estimated in the subgroups of studies performed in the warm season, case-crossover studies, studies with three lag days, and studies without adjustments for humidity and temperature confounders, with very small heterogeneity. CONCLUSION: Evidence suggests that short-term exposure to PM2.5 increases COPD hospitalization. Further studies are needed to understand the mechanism of the association between PM2.5 and COPD for reducing air pollution, which can be beneficial for COPD patients.

Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review.

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".

Iranian public hospitals' challenges regarding revenue deficits: A mixed-method study.

Background: The main part of hospitals' funding comes from insurance organizations. In some cases, for different reasons such as not filed services or unpaid health insurance bills, a part of these funding cannot be derived from health insurance companies. This study aims to describe different aspects of the hospitals' revenue deficits in Iranian public hospitals. Methods: This was a mixed-method study consisting of qualitative and quantitative studies. Qualitative data were collected through 17 semi-structured interviews and were analyzed using the analytical framework by MAXQDA.10. Quantitative data were analyzed by the TOPSIS method and Smart TOPSIS Solver.3.2.0. Results: Based on the framework analysis, five sets of the underlying causes of hospital revenue deficits were identified and categorized in 5 themes: bottlenecks, direct causes of revenue deficits, root causes of revenue deficits, revenue deficits management strategies, and challenges and barriers to managing revenue deficits. Through inadequate clinical documentation and failed to provide the insurance organization's requirements, the surgical units, operating rooms, and inpatient units were found as the main sources of revenue deficit. Lack of senior management commitment and inconsistency of insurance organizations for evaluating claims are often listed as the major barriers to effective implementation of corrective interventions. Conclusion: Revenue deficits occurs in most hospital departments and in all stages of converting services into revenue, and a variety of human and organizational factors contribute to them. Therefore, focusing on the main causes of deductions and the participation of all individuals and departments involved in it is critical to reducing deductions.

Cost-effectiveness of allopurinol versus febuxostat in the treatment of gout patients: A systematic review.

Background: In recent years, increased longevity, poor dietary habits, and the rising prevalence of metabolic syndrome and hypertension have increased the prevalence of gout. Gout significantly increases direct and indirect costs and reduces the quality of life. Allopurinol and febuxostat are the most commonly used drugs for reducing uric acid levels and controlling this disease with different cost-effectiveness. The present systematic review compares the cost-effectiveness of these drugs. Methods: This was a systematic review of economic evaluations. Cochrane CENTRAL, Web of Science, PubMed, Embase, and the Cost-Effectiveness Analysis (CEA) Registry were searched up to April 30, 2018, based on the specific search strategy of each database. Keywords used in the search include gout, cost-effectiveness, allopurinol, and febuxostat in MeSH and free-text forms. Screening of identified studies, data extraction, and quality assessment were done independently by 2 reviewers. The quality of studies was assessed based on Drummond Checklist. Finally, a qualitative analysis was done to analyze the results. Results: A total of 94 studies were identified through database search and the review of references. After screening the titles, abstracts, and full-texts, 6 economic evaluations were included in the review. The majority of the studies had been conducted in the US using the Markov model, within a 5-year horizon, and from the payer's perspective, with the quality of life as a measure of effectiveness. In most studies, the incremental cost-effectiveness ratios (ICERs) of febuxostat per quality-adjusted life year (QALY) were below the threshold (10 000$/QALY and 30 000€/QALY). Conclusion: Febuxostat has been shown to be more cost-effective than allopurinol in all treatment sequences in studies that have used uric acid levels as the measure of effectiveness. Furthermore, in studies with the quality of life as the measure of effectiveness, febuxostat has been shown to be very cost-effective as the second-line treatment.

Health policy analysis in Eastern Mediterranean region using a health policy triangle framework: Historical and ethical insights from a systematic review.

Background: Health policy can be defined as an agreement and consensus on a health-related program and set of actions taken to achieve the goals expected by programs in the area of policy. Policy analysis involves a wide range of methods, techniques, and tools in a way to reach awareness of the impacts of the developed and implemented policies. Whereas policy analysis in developed countries has a long history, in developing countries, it is instead in its first developing stages. Our paper aimed to collect systematically the studies using health policy triangle framework in doing analysis in one of the health policy issues in the Eastern Mediterranean region organization. Methods: To conduct our literature search, ISI/Web of Science, PubMed/MEDLINE, Embase, The Cochrane Library, Global Health Database, Scopus, as well as Google Scholar from 2003 up to June 2020 were systematically mined. To evaluate the methodological quality of the included studies, the Critical Appraisal Skills Program checklist was used. Results: We selected 30 studies, conducted between 2011 and 2020. According to the findings of these studies, in the Eastern Mediterranean region, organization region, and the role of evidence-based research in policy-making has been repeatedly emphasized, but its use in health program decision-making has been limited, and health research systems in Eastern Mediterranean region organization are still under scrutiny. There is still a gap between evidence-based research in health systems and its use in policy-making. Discussion: Based on the present systematic review, studies based on policy analysis should focus on all the elements of health policies and provide evidence to inform decisions that can strengthen health systems, improve health and improve existing inequalities.

Identifying drivers and factors affecting behavioral risk factors of noncommunicable diseases: A scoping review.

BACKGROUND: A large proportion of noncommunicable diseases (NCDs) can be prevented by reducing unhealthy nutrition, inadequate physical activity, smoking, and alcohol consumption. The high burden of NCDs underlines the need for a greater understanding of the causes of these risk factors. This paper aims to identify factors affecting smoking, alcohol consumption, unhealthy nutrition, and inadequate physical activity in current and future times. MATERIALS AND METHODS: A scoping review was conducted in Iran University of Medical Sciences, Tehran, Iran, in 2020 to identify factors affecting smoking, alcohol consumption, unhealthy nutrition, and inadequate physical activity. The review was guided by the five-step Arksey and O'Malley model. A deductive qualitative content analysis was employed to identify the factors synthesized through descriptive and narrative synthesis. The search was conducted in English without date restrictions up to January 2020. RESULTS: We identified 1437 studies through database search and other sources and finally included 72 studies in the review. The content analysis of the data led to the identification of 27 factors affecting smoking, alcohol consumption, nutrition, and physical activity. The factors categorized into social, technological, environmental, economic, political, and values factors. CONCLUSION: Political and economic factors have a significant effect on all risk factors, and it is necessary to take comprehensive measures to improve these factors. Technological factors have a greater impact on healthy nutrition. Physical activity is more affected by environmental factors than other risk factors. However, smoking and alcohol consumption are more influenced by social factors and individual attitudes.

Identifying and classifying indicators affected by performing clinical pathways in hospitals: a scoping review.

AIM: To analyse the evidence regarding indicators affected by clinical pathways (CPW) in hospitals and offer suggestions for conducting comprehensive systematic reviews. METHODS: We conducted a systematic scoping review and searched the Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, Scopus, OVID, Science Direct, ProQuest, EMBASE and PubMed. We also reviewed the reference lists of included studies. The criteria for inclusion of studies included experimental and quasi-experimental studies, implementing CPW in secondary and tertiary hospitals and investigating at least one indicator. Quality of included studies was assessed by two authors independently using the Critical Appraisal Skills Program for clinical trials and cohort studies and the Joanna Briggs Institute Critical Appraisal Tool for Quasi-Experimental Studies. RESULTS: Forty-seven out of 2191 studies met the eligibility and inclusion criteria. The majority of included studies had pretest-posttest quasi-experimental design and had been done in developed countries, especially the United States. The investigation of evidence resulted in identifying 62 indicators which were classified into three categories: input indicators, process and output indicators and outcome indicators. Outcome indicators were more frequent than other indicators. Complication rate, hospital costs and length of hospital stay were dominant in their own category. Indicators such as quality of life and adherence to guidelines have been considered in studies that were done in recent years. CONCLUSION: Implementing CPW can affect different types of indicators such as input, process, output and outcome indicators, although outcome indicators capture more attention than other indicators. Patient-related indicators were dominant outcome indicators, whereas professional indicators and organizational factors were considered less extensively. WHAT IS KNOWN ABOUT THE TOPIC?: WHAT DOES THIS ARTICLE ADD?

A Qualitative Study of Bottlenecks and Causes of Fractions for Dedicated Incomes of Health Centers and Solutions for their Reduction.

BACKGROUND: Primary health care is one of effective approaches for improving public health. Providing optimal cares requires supplication of various resources such as financial resources. "Fractions of incomes" in health centers is one of the remarkable problems for the domain of financial resources management in Iran. This study was aimed to identify bottlenecks and causes of fractions for incomes in health centers and solutions for their reduction. METHODS: The current study was conducted in a qualitative phenomenology method in East Azerbaijan province of Iran in 2014. Data collection method was focus group discussion and semi-structured interview. Purposive sampling was used for selecting participants. Focus group discussions and interviews were conducted based on pre-prepared guidance and continued till data saturation. Validity of guidance was approved by qualitative studies experts. Data were analyzed using content analysis method. RESULTS: Based on the opinions of participants, two and six themes were respectively extracted for bottlenecks of fractions and causes and solutions for their reduction. Themes for bottlenecks of fractions included cash (monetary) and non-cash (non-monetary) fractions and themes for causes and solutions included causes and solutions for fractions per capita, insurance deductions, fractions related to sending documents, registration fractions, discounts fractions, and incomplete deposit of cash incomes. CONCLUSION: All cash and non-cash incomes of health centers are subject to fractions. The causes of fractions are related to the whole process of converting services to incomes and insurance requirements. Identified solutions and interventions also focus on these areas.