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This study aims to solve optimal pricing and power bidding strategy problem for integrated combined heat and power (CHP) system by using a modified heuristic optimization algorithm.

In electricity markets, generation companies compete according to their bidding parameters; therefore, optimal pricing and bidding strategy are solved. Recently, CHP units are significantly operated by generation companies to meet power and heat, simultaneously.

For validation, it is shown that profit is improved by 0.04%–48.02% for single and 0.02%–31.30% for double-sided auctions. As heat price curve is extracted, the simulation results show that when CHP system is integrated with other units results in profit increase and emission decrease by 3.04%–3.18% and 2.23%–4.13%, respectively. Also, CHP units significantly affect bidding parameters.

The novelties are pricing and bidding strategy of integrated CHP system is solved; local heat selling is considered in pricing and bidding strategy problem and heat price curve is extracted; the effects of CHP utilization on bidding parameters are investigated; a modified heuristic and deterministic optimization algorithm is presented.

Informal payments (IPs) for healthcare are a serious obstacle to equitable access and universal health coverage in developing countries. Policy makers need to know more about the hidden nature of informal patient payments (IPPs) before any policy adoption and implementation. The purpose of this paper is to systematically review the main factors affecting IPPs.

This systematic review was conducted in 2018 using the standard guideline of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses. All English original articles on the determinants of IPPs published in the scientific journals, whose full text was available through Scopus, PubMed and Web of Science databases, which were given consideration for review.

The results showed that IPPs were greatly dependent on the characteristics of healthcare consumers, providers, healthcare system and services. Among healthcare consumers’ characteristics affecting IPPs, the income, age, education, gender, employment and health status were more cited factors, respectively. Among healthcare providers’ characteristics affecting IPPs, the providers’ experience, reputation, and salary satisfaction were better known, respectively. Among healthcare services features, the hospitalization, service specialty and the level of treatment urgency were more noted, respectively.

Policy making against IPs in the health sector requires precise attention to all components of healthcare market, including healthcare consumers, providers, healthcare system and services characteristics.

This study aims to evaluate the prevalence of depression and associated risk factors among patients on hemodialysis in Jazan area, Saudi Arabia.

The study was conducted on 211 randomly selected hemodialysis patients in Jazan area, Saudi Arabia, using an observational cross-sectional design. Patients were screened for depressive symptoms using the depression, anxiety and stress scale 42 (DASS-42). Descriptive statistics were used to present sociodemographic data. Multiple logistic regression was implemented to identify the predictors of depression. Data were entered and analyzed using SPSS 22.0 software.

The study found the overall prevalence of depression among patients on hemodialysis to be 43.6 per cent. Of them, 12.8 per cent were mildly depressed, 15.6 per cent were moderately depressed and 15.1 per cent fell in the severe or extremely severe category. Depression was significantly associated with marital status, education level and the presence of sleep disturbances. The study indicates a high prevalence of depressive symptoms among patients on hemodialysis in Jazan. A higher rate of depressive symptoms was observed in currently unmarried, lower-educated patients and those with sleep disturbance.

Periodic evaluation of patients on hemodialysis for depression is needed to allow for early intervention.