Budget impact analyses for treatment of heart failure. A systematic review.

Heart failure (HF) is increasing globally and turning out to be a serious worldwide public health problem with significant morbidity and mortality. This study aims to systemically review the budget impact analysis of heart failure treatments on health care expenditure worldwide. Scientific databases such as PubMed, Web of Science, Scopus, and Google Scholar were searched for budget impact analysis and heart failure treatments, over January 2001 to August 2023. The quality assessment of the selected studies was evaluated through ISPOR practice guideline. Nineteen studies were included in this systematic review. Based on ISPOR recommendations, most studies were performed on a 1-year time horizon and used a government (public health) or health system perspective. Data for selected studies was mainly collected from randomized clinical trials, published literature, pharmaceutical companies, and registry data. Only direct costs were reported in the studies. Sensitivity analyses were stated in almost all studies. However, studies conducted in high-income countries reported sensitivity analyses more elaborately than those performed in low- and middle-income countries. In many published articles related to the budget impact analyses of heart failure treatment, addition of new treatments to the health system's formularies can lead to a reduction in cardiovascular hospitalization rates, re-hospitalization rates, cardiac-associated mortality rates, and an improvement in heart failure class, which can decrease the costs of hospitalizations, specified care visits, primary care visits, and other related treatments.

Cost-effectiveness of cardiac resynchronization therapy plus an implantable cardioverter-defibrillator in patients with heart failure: a systematic review.

INTRODUCTION: Heart failure (HF) is an unusual heart function that causes reduction in cardiac or pulmonary output. Cardiac resynchronization therapy (CRT) is a mechanical device that helps to recover ventricular dysfunction by pacing the ventricles. This study planned to systematically review cost-effectiveness of CRT combined with an implantable cardioverter-defibrillator (ICD) versus ICD in patients with HF. METHODS: We used five databases (NHS Economic Evaluation Database, Cochrane Library, Medline, PubMed, and Scopus) to systematically reviewed studies published in the English language on the cost-effectiveness of CRT with defibrillator (CRT-D) Vs. ICD in patients with HF over 2000 to 2020. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist was applied to assess the quality of the selected studies. RESULTS: Five studies reporting the cost-effectiveness of CRT-D vs ICD were finally identified. The results revealed that time horizon, direct medical costs, type of model, discount rate, and sensitivity analysis obviously mentioned in almost all studies. All studies used quality-adjusted life years (QALYs) as an effectiveness measurement. The highest and the lowest Incremental cost-effectiveness ratio (ICER) were reported in the USA ($138,649per QALY) and the UK ($41,787per QALY), respectively. CONCLUSION: Result of the study showed that CRT-D compared to ICD alone was the most cost-effective treatment in patients with HF.

Role of circulatory leukocyte based indices in short-term mortality of patients with heart failure with reduced ejection fraction.

BACKGROUND: Pro-inflammatory signaling is mediated by a variety of inflammatory mediators which can cause myocardial apoptosis, hypertrophia, and fibrosis, and also ultimately lead to adverse cardiac remodeling. This study aimed to assess the role of circulating leukocyte-based indices in predicting the short-term mortality in patients with heart failure with reduced ejection fraction (HFrEF). METHODS: In a retrospective study, patients with HFrEF admitted to a tertiary referral center between January 2016 and January 2017 were recruited to this study. The association between neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dLNR = neutrophils/(leukocytes-neutrophils)), monocyte/granulocyte to lymphocyte ratio (MGLR = (white cell count-lymphocyte count) to lymphocyte count), platelet to lymphocyte ratio (PLR) and six-months mortality of patients were assessed. RESULTS: A total of 197 patients with HFrEF were enrolled in the study. NLR (P<0.001), dNLR (P<0.001), MGLR (P<0.001), PLR (P=0.006) and LVEF (P=0.042) showed significant difference between survived and died patients. In the Cox multivariate analysis we did not find NLR, dLNR, MGLR or PLR as an independent predictor of short-term mortality in HFrEF patients. CONCLUSIONS: Although High NLR, PLR, MGLR and dNLR was associated with short-term mortality, it failed to independently predict the prognosis of HFrEF patients.

Factors affecting the technical efficiency of health systems: A case study of Economic Cooperation Organization (ECO) countries (2004-10).

BACKGROUND: Improving efficiency of health sector is of particular importance in all countries. To reach this end, it is paramount to measure the efficiency. On the other hand, there are many factors that affect the efficiency of health systems. This study aimed to measure the Technical Efficiency (TE) of health systems in Economic Cooperation Organization (ECO) countries during 2004-10 and to determine the factors affecting their TE. METHODS: This was a descriptive-analytical and panel study. The required data were gathered using library and field studies, available statistics and international websites through completing data collection forms. In this study, the TE of health systems in 10 ECO countries was measured using their available data and Data Envelopment Analysis (DEA) through two approaches. The first approach used GDP per capita, education and smoking as its inputs and life expectancy and infant mortality rates as the outputs. The second approach, also, used the health expenditures per capita, the number of physicians per thousand people, and the number of hospital beds per thousand people as its inputs and life expectancy and under-5 mortality rates as the outputs. Then, the factors affecting the TE of health systems were determined using the panel data logit model. Excel 2010, Win4Deap 1.1.2 and Stata 11.0 were used to analyze the collected data. RESULTS: According to the first approach, the mean TE of health systems was 0.497 and based on the second one it was 0.563. Turkey and Turkmenistan had, respectively, the highest and lowest mean of efficiency. Also, the results of panel data logit model showed that only GDP per capita and health expenditures per capita had significant relationships with the TE of health systems. CONCLUSION: In order to maximize the TE of health systems, health policy-makers should pay special attention to the proper use of healthcare resources according to the people's needs, the appropriate management of the health system resources, allocating adequate budgets to the health sector, establishing an appropriate referral system to provide better public access to health services according to their income and needs, among many others.

Epidemiologic characteristics of HIV-positive patients referring to behavioral diseases consultation center in Shiraz, Iran.

BACKGROUND: Acquired immune deficiency syndrome (AIDS) was firstly reported from California and soon became a pandemic in the world. This disease poses serious threats to humans' health. In this study, we intended to examine the characteristics of HIV-positive patients who referred to the Behavioral Diseases Consultation Center (BDCC) in Shiraz, Iran. METHODS: This was a cross-sectional descriptive study. HIV-positive patients, referring toBDCC of Shiraz University of Medical Scienceswere the population under the study. The data, collected through a checklist, were encoded and entered in to the SPSS 19. Then descriptive statistics such as mean, median, standard deviation and range were used to describe the variables. Also, the relationships between the variables were tested using X2 test. RESULTS: The mean and median age of the HIV-positive patients were 39 + 8.7 and 38years, respectively.Nearly327 (65.4%) of the studied population were male and 173 (34.6%) were female. With respect to marital status, 225 (45%) participants were married, 133 (27%) were single, 91 (18.2%) were divorced and 49 (9.8%) were widowed. Also, 265(53%) of the participants were infected through injection drug use, 198 (39.6%) through sexual route, 7 (1.4%) through blood and blood products, 6 (1.2%) through tattoos and 21 (4.2%) by other routes. Most of the participants had a HIV-positive history in their family, and 145 (29%) mentioned that their wives were HIV-positive. Moreover, 320 (62.7%) of the participants had a positive history of drug use, 176 (35.2%) did not have a history of drug abuse, and the status of 10 (2%) participants was not recognized. CONCLUSION: Although the results of this study highlighted that injection addiction remains the major transmission route inIran, the role of sexual transmission should be acknowledged in the future.

Health Sector Inflation Rate and its Determinants in Iran: A Longitudinal Study (1995-2008).

BACKGROUND: Health price inflation rate is different from increasing in health expenditures. Health expenditures contain both quantity and prices but inflation rate contains prices. This study aimed to determine the factors that affect the Inflation Rate for Health Care Services (IRCPIHC) in Iran. METHODS: We used Central Bank of Iran data. We estimated the relationship between the inflation rate and its determinants using dynamic factor variable approach. For this purpose, we used STATA software. RESULTS: The study results revealed a positive relationship between the overall inflation as well as the number of dentists and health inflation. However, number of beds and physicians per 1000 people had a negative relationship with health inflation. CONCLUSION: When the number of hospital beds and doctors increased, the competition between them increased, as well, thereby decreasing the inflation rate. Moreover, dentists and drug stores had the conditions of monopoly markets; therefore, they could change the prices easier compared to other health sectors. Health inflation is the subset of growth in health expenditures and the determinants of health expenditures are not similar to health inflation.

Comparison of the effects of public and private health expenditures on the health status: a panel data analysis in eastern mediterranean countries.

BACKGROUND: Health expenditures are divided in two parts of public and private health expenditures. Public health expenditures contain social security spending, taxing to private and public sectors, and foreign resources like loans and subventions. On the other hand, private health expenditures contain out of pocket expenditures and private insurances. Each of these has different effects on the health status. The present study aims to compare the effects of these expenditures on health in Eastern Mediterranean Region (EMR). METHODS: In this study, infant mortality rate was considered as an indicator of health status. We estimated the model using the panel data of EMR countries between 1995 and 2010. First, we used Pesaran CD test followed by Pesaran's CADF unit root test. After the confirmation of having unit root, we used Westerlund panel cointegration test and found that the model was cointegrated and then after using Hausman and Breusch-Pagan tests, we estimated the model using the random effects. RESULTS: The results showed that the public health expenditures had a strong negative relationship with infant mortality rate. However, a positive relationship was found between the private health expenditures and infant mortality rate (IMR). The relationship for public health expenditures was significant, but for private health expenditures was not. CONCLUSION: The study findings showed that the public health expenditures in the EMR countries improved health outcome, while the private health expenditures did not have any significant relationship with health status, so often increasing the public health expenditures leads to reduce IMR. But this relationship was not significant because of contradictory effects for poor and wealthy peoples.