International Journal of Health Policy and Management
Volume:1 Issue: 1, Jun 2013

There are two dominant approaches to describe and understand the anatomy of complete health and well-being systems internationally. Yet, neither approach has been able to either predict or explain occasional but dramatic crises in health and well-being systems around the world and in developed emerging market or developing country contexts. As the impacts of such events can be measured not simply in terms of their social and economic consequences but also public health crises, there is a clear need to look for and formulate an alternative approach. This paper examines multi-disciplinary theoretical evidence to suggest that health systems exhibit natural and observable systemic and long cycle characteristics that can be modelled. A health and well-being system model of two slowly evolving anthropological network sub-systems is defined. The first network sub-system consists of organised professional networks of exclusive suppliers of health and well-being services. The second network sub-system consists of communities organising themselves to resource those exclusive services. Together these two network sub-systems interact to form the specific (sovereign) health and well-being systems we know today. But the core of a truly ‘complex adaptive system’ can also be identified and a simplified two sub-system model of recurring Lotka-Volterra predator-prey cycles is specified. The implications of such an adaptive and evolving model of system anatomy for effective public health, social security insurance and well-being systems governance could be considerable.

MRI is a new and expensive diagnostic technology, which has been used increasingly all over the world. Low back pain is a worldwide prevalent disorder and MRI technique is one of the several ways to diagnose it. This paper aims to identify the appropriateness of lumbar spine MRI prescriptions in Shiraz teaching hospitals using standardized RAND Appropriateness Method (RAM) criteria in 2012. This study consisted of two phases. The first phase involved a qualitative enquiry and the second phase had a quantitative cross-sectional nature. In the first phase RAM was used for developing lumbar spine MRI indications and scenarios. In the second phase, the finalized scenarios were compared with the history and physical examination of 300 patients with low back pain. The rate of appropriateness of lumbar spine MRI prescription was then calculated. Of 300 cases of lumbar spine MRI prescriptions, approximately 167 (56%) were considered inappropriate, 72 (24%) were uncertain, and 61 (20%) were deemed to be appropriate. The economic burden of inappropriate prescriptions was calculated at 88,009,000 Rials. In addition, the types of expertise and physical examination were considered as related factors to appropriateness of prescriptions. In conclusion, a large proportion of lumbar spine MRI prescriptions, which result in financial burden on the insurance companies and the patients alike is unnecessary. This study suggests that policy makers consider this evidence while decision-making. Our findings highlight the imperative role of Health Technology Assessment (HTA) and Clinical Practice Guidelines (CPGs). As a result, developing local clinical guidelines may create the commitment needed in physicians in prescribing appropriate prescriptions within the health sector. The study further recommends that appropriate scenarios should be considered as a criterion for payment and reimbursement.

As the under-representation of women in management positions continues to persist globally, little is known about the experiences of women in the healthcare sector in the context of the developing Middle Eastern nations. In an attempt to address this knowledge gap, the current study explores some of the barriers that hinder and the enablers that foster women’s career advancement in the healthcare sector. To meet its objectives, the current study uses a relational approach that integrates the macro socio-cultural, meso-organisational, and micro-individual levels of analysis. Guided by institutional theory as a theoretical framework and social constructionism as a philosophical stance, the current study adopts a qualitative research methodology. It capitalizes on in-depth, semi-structured, face-to-face interviews with women managers in different occupational fields, across the managerial hierarchy in the healthcare sector in Lebanon. Snowballing and purposeful sampling procedures were used, and the interviews were analysed using thematic analysis, focusing on identifying new, emerging themes. The results of the study confirm the salience of discriminatory cultural values, gendered social roles and expectations in Middle Eastern societies, and illustrate their role as barriers hindering women’s career advancement. The results also portray the spillover effect of societal expectations and cultural gender stereotypes into the organisational realm, resulting in widely experienced attitudinal and structural organisational barriers. This study also illustrates how the enablers that facilitate and promote women’s career progression unfold amidst the interplay between the macro and meso factors, lending credence to the role of women’s agency at the individual micro level. Amongst the toll of barriers, Middle Eastern women navigate the patriarchy of their cultures and the discrimination inherent in their organisations by using their agency and persistence as they construct and negotiate their careers in management. This study provides new knowledge on the status of Middle Eastern women in the healthcare sector, a sub-category of female employees that to date, is under-researched. It primarily highlights the role of agency in building women’s careers. It also stresses the notion that the complexity of women’s careers in the healthcare sector can be best understood using a relational approach that highlights the intersectionality between gender, agency, socio-cultural realities and organisational boundaries.

To assess the concept of children concerning their health and its risk factors, a group of primary and middle school students were asked to draw a few relevant pictures in order to deeply explore the comprehension of this key group. In this cross-sectional study 1165 students, aged 7-15 years old, selected through random stratified sampling, were asked to draw a number of eight paintings, four paintings on health concepts, and the other four on health risk factors. The paintings were then assessed by two independent observers, and their themes and contents were abstracted and analysed. The students drew a total of 2330 paintings, 1165 paintings on the concept of health, and 1165 paintings on health risk factors. The most and least expressed health concepts concerned “mental health” and “healthy diet” (73.3% and 4.8%, respectively). Considering health risk factors, “unhealthy diet” and the two concepts of “environmental hazards” and “neglected personal hygiene” had the most (95%) and least (1.4% each) frequencies. Students in public schools, primary level and girls drew more pictures about health concept or/and its risk factors (P<0.05). The association between parents’ education level and the numbers of pictures were not statistically significant. Although students had a broad view about health and its risk factors, generally little attention had been paid to some of the main aspects such as physical activity, healthy diet, mental and oral health, and environmental hazards. In addition, it seems that parents’ educational level, as one of the main socio-economic factors, did not have any significant impact on their concepts.

The purpose of this study was to measure the level of quality of work life (QWL) among hospital employees in Iran. Additionally, it aimed to identify the factors that are critical to employees’ QWL. It also aimed to test a theoretical model of the relationship between employees’ QWL and their intention to leave the organisation. A survey study was conducted based on a sample of 608 hospital employees using a validated questionnaire. Face, content and construct validity were conducted on the survey instrument. Hospital employees reported low QWL. Employees were least satisfied with pay, benefits, job promotion, and management support. The most important predictor of QWL was management support, followed by job proud, job security and job stress. An inverse relationship was found between employees QWL and their turnover intention. This study empirically examined the relationships between employees’ QWL and their turnover intention. Managers can take appropriate actions to improve employees’ QWL and subsequently reduce employees’ turnover.

Road traffic accidents and their related deaths have become a major concern, particularly in developing countries. Iran has adopted a series of policies and interventions to control the high number of accidents occurring over the past few years. In this study we used a time series model to understand the trend of accidents, and ascertain the viability of applying ARIMA models on data from Taybad city. This study is a cross-sectional study. We used data from accidents occurring in Taybad between 2007 and 2011. We obtained the data from the Ministry of Health (MOH) and used the time series method with a time lag of one month. After plotting the trend, non stationary data in mean and variance were removed using Box-Cox transformation and a differencing method respectively. The ACF and PACF plots were used to control the stationary situation. The traffic accidents in our study had an increasing trend over the five years of study. Based on ACF and PACF plots gained after applying Box-Cox transformation and differencing, data did not fit to a time series model. Therefore, neither ARIMA model nor seasonality were observed. Traffic accidents in Taybad have an upward trend. In addition, we expected either the AR model, MA model or ARIMA model to have a seasonal trend, yet this was not observed in this analysis. Several reasons may have contributed to this situation, such as uncertainty of the quality of data, weather changes, and behavioural factors that are not taken into account by time series analysis.

Determinants of health or health production function in health economics literature constitute noticeable issues in health promotion. This study aimed at estimating a health production function for East Mediterranean Region (EMR) based on the Grossman theoretical model. This ecological study was performed using the econometric methods. The panel data model was used in order to determine the relationship between life expectancy and socioeconomic factors. The data for 21 EMR countries between 1995 and 2007 were used. Fixed-effect-model was employed to estimate the parameters based on Hausman test. In estimating the health production function, factors such as income per capita (β=0.05, P<0.001), education index (β=0.07, P<0.001), food availability (β=0.01, P<0.001), level of urbanisation (β=0.10, P<0.001), and employment ratio (β=0.11, P<0.001) were specified as determinants of health status, proxied by life expectancy at birth. A notable result was the elasticity of life expectancy with respect to the employment rate and its significance level was different between males (β=0.13, P<0.001) and females (β=0.08, P>0.001). In order to improve the health status in EMR countries, health policymakers should focus on the factors which lie outside the healthcare system. These factors are mainly associated with economic growth and development level. Thus, the economic stabilisation policies with the aim of increasing the productivity, economic growth, and reducing unemployment play significant roles in the health status of the people of the region.

Over the last decade there has been an increase in healthcare expenditures while at the same time the inequity in distribution of resources has grown. These two issues have urged the researchers to review the determinants of healthcare expenditures. In this study, we surveyed the determinants of health expenditures in Economic Cooperation Organization (ECO) countries. We used Panel data econometrics methods for the purpose of this research. For long term analysis, we used Pesaran cross sectional dependency test followed by panel unit root tests to show first whether the variables were stationary or not. Upon confirmation of no stationary variables, we used Westerlund panel cointegration test in order to show whether long term relationships exist between the variables. At the end, we estimated the model with Continuous-Updated Fully Modified (CUP-FM) estimator. For short term analysis also, we used Fixed Effects (FE) estimator to estimate the model. A long term relationship was found between the health expenditures per capita and GDP per capita, the proportion of population below 15 and above 65 years old, number of physicians, and urbanisation. Besides, all the variables had short term relationships with health expenditures, except for the proportion of population above 65 years old. The coefficient of GDP was below 1 in the model. Therefore, health is counted as a necessary good in ECO countries and governments must pay due attention to the equal distribution of health services in all regions of the country.

Policy makers need models to be able to detect groups at high risk of HIV infection. Incomplete records and dirty data are frequently seen in national data sets. Presence of missing data challenges the practice of model development. Several studies suggested that performance of imputation methods is acceptable when missing rate is moderate. One of the issues which was of less concern, to be addressed here, is the role of the pattern of missing data. We used information of 2720 prisoners. Results derived from fitting regression model to whole data were served as gold standard. Missing data were then generated so that 10%, 20% and 50% of data were lost. In scenario 1, we generated missing values, at above rates, in one variable which was significant in gold model (age). In scenario 2, a small proportion of each of independent variable was dropped out. Four imputation methods, under different Event Per Variable (EPV) values, were compared in terms of selection of important variables and parameter estimation. In scenario 2, bias in estimates was low and performances of all methods for handing missing data were similar. All methods at all missing rates were able to detect significance of age. In scenario 1, biases in estimations were increased, in particular at 50% missing rate. Here at EPVs of 10 and 5, imputation methods failed to capture effect of age. In scenario 2, all imputation methods at all missing rates, were able to detect age as being significant. This was not the case in scenario 1. Our results showed that performance of imputation methods depends on the pattern of missing data.

Many organisations have realised the importance of human resource for their competitive advantage. Empowering employees is therefore essential for organisational effectiveness. This study aimed to investigate the relationship between employee participation with outcome variables such as organisational commitment, job satisfaction, perception of justice in an organisation and readiness to accept job responsibilities. It further examined the impact of power distance on the relationship between participation and four outcome variables. This was a cross sectional study with a descriptive research design conducted among employees and managers of hospitals affiliated with Tehran University of Medical Sciences, Tehran, Iran. A questionnaire as a main procedure to gather data was developed, distributed and collected. Descriptive statistics, Pearson correlation coefficient and moderated multiple regression were used to analyse the study data. Findings of the study showed that the level of power distance perceived by employees had a significant relationship with employee participation, organisational commitment, job satisfaction, perception of justice and readiness to accept job responsibilities. There was also a significant relationship between employee participation and four outcome variables. The moderated multiple regression results supported the hypothesis that power distance had a significant effect on the relationship between employee participation and four outcome variables. Organisations in which employee empowerment is practiced through diverse means such as participating them in decision making related to their field of work, appear to have more committed and satisfied employees with positive perception toward justice in the organisational interactions and readiness to accept job responsibilities.

Considering patients’ needs and expectations in the process of healthcare delivery improves the quality of services. This study aimed to investigate the responsiveness of general public and private hospitals in Mashhad, Iran. In this cross-sectional and explanatory study, hospitalized patients (with at least 2 days of stay) in general private and public hospitals in Mashhad were investigated. In total 425 patients (259 from private and 166 from public hospitals) were selected using a stratified and simple random sampling. Standard responsiveness questionnaire was used as the data collection tool. Data were analysed using descriptive statistics, independent t-tests and ANOVA by SPSS 16 at a significance level of 0.05. Access to the social support during hospitalization as well as confidentiality of the patient’s information achieved the highest score (3.21±0.73) while the patient participation in decision-making process of treatment received the least score (2.34±1.24). Among the research population 1.6%, 4.1%, 17.6%, 63.3% and 13.2% commented on the responsiveness level as very low, low, moderate, good, and excellent, respectively. There was no significant difference between the overall responsiveness scores of public and private hospitals (P ≥0.05). The hospitals have enough potential to improve various aspects of their responsiveness. We suggest a number of measures can help improve the non-clinical aspects of care. These include: using educational courses to improve the knowledge and attitudes of medical and nonmedical staff, changing the resource allocation method, and using quality tools such as reengineering to modify the healthcare delivery processes.