Health worker densities and immunization coverage in Turkey: a panel data analysis

<p>Abstract</p> <p>Background</p> <p>Increased immunization coverage is an important step towards fulfilling the Millennium Development Goal of reducing childhood mortality. Recent cross-sectional and cross-national research has indicated that physician, nurse and midwife densities may positively influence immunization coverage. However, little is known about relationships between densities of human resources for health (HRH) and vaccination coverage within developing countries and over time. The present study examines HRH densities and coverage of the Expanded Programme on Immunization (EPI) in Turkey during the period 2000 to 2006.</p> <p>Methods</p> <p>The study is based on provincial-level data on HRH densities, vaccination coverage and provincial socioeconomic and demographic characteristics published by the Turkish government. Panel data regression methodologies (random and fixed effects models) are used to analyse the data.</p> <p>Results</p> <p>Three main findings emerge: (1) combined physician, nurse/midwife and health officer density is significantly associated with vaccination rates – independent of provincial female illiteracy, GDP per capita and land area – although the association was initially positive and turned negative over time; (2) HRH-vaccination rate relationships differ by cadre of health worker, with physician and health officers exhibiting significant relationships that mirror those for aggregate density, while nurse/midwife densities are not consistently significant; (3) HRH densities bear stronger relationships with vaccination coverage among more rural provinces, compared to those with higher population densities.</p> <p>Conclusion</p> <p>We find evidence of relationships between HRH densities and vaccination rates even at Turkey's relatively elevated levels of each. At the same time, variations in results between different empirical models suggest that this relationship is complex, affected by other factors that occurred during the study period, and warrants further investigation to verify our findings. We hypothesize that the introduction of certain health-sector policies governing terms of HRH employment affected incentives to provide vaccinations and therefore relationships between HRH densities and vaccination rates. National-level changes experienced during the study period – such as a severe financial crisis – may also have affected and/or been associated with the HRH-vaccination rate link. While our findings therefore suggest that the size of a health workforce may be associated with service provision at a relatively elevated level of development, they also indicate that focusing on per capita levels of HRH may be of limited value in understanding performance in service provision. In both Turkey and elsewhere, further investigation is needed to corroborate our results as well as gain deeper understanding into relationships between health worker densities and service provision.</p

The change in capacity and service delivery at public and private hospitals in Turkey: A closer look at regional differences

<p>Abstract</p> <p>Background</p> <p>Substantial regional health inequalities have been shown to exist in Turkey for major health indicators. Turkish data on hospitals deserves a closer examination with a special emphasis on the regional differences in the context of the rapid privatization of the secondary or tertiary level health services.</p> <p>This study aims to evaluate the change in capacity and service delivery at public and private hospitals in Turkey between 2001-2006 and to determine the regional differences.</p> <p>Methods</p> <p>Data for this retrospective study was provided from Statistical Almanacs of Inpatient Services (2001-2006). Hospitals in each of the 81 provinces were grouped into two categories: public and private. Provinces were grouped into six regions according to a development index composed by the State Planning Organisation. The number of facilities, hospital beds, outpatient admissions, inpatient admissions (per 100 000), number of deliveries and surgical operations (per 10 000) were calculated for public and private hospitals in each province and region. Regional comparisons were based on calculation of ratios for Region 1(R1) to Region 6(R6).</p> <p>Results</p> <p>Public facilities had a fundamental role in service delivery. However, private sector grew rapidly in Turkey between 2001-2006 in capacity and service delivery. In public sector, there were 2.3 fold increase in the number of beds in R1 to R6 in 2001. This ratio was 69.9 fold for private sector. The substantial regional inequalities in public and private sector decreased for the private sector enormously while a little decrease was observed for the public sector. In 2001 in R1, big surgical operations were performed six times more than R6 at the public sector whereas the difference was 117.7 fold for the same operations in the same regions for the private sector. These ratios decreased to 3.6 for the public sector and 13.9 for the private sector in 2006.</p> <p>Conclusions</p> <p>The private health sector has grown enormously between 2001-2006 in Turkey including the less developed regions of the country. Given the fact that majority of people living in these underdeveloped regions are uninsured, the expansion of the private sector may not contribute in reducing the inequalities in access to health care. In fact, it may widen the existing gap for access to health between high and low income earners in these underdeveloped regions.</p

Factors Affecting The Work Of Physicians In Rural Areas Of Turkey

Introduction: An unbalanced geographical distribution of physicians leads to important differences in healthcare outcomes and difficulties in accessing healthcare services in rural areas. As in many other countries in the world, the geographical distribution of physicians in Turkey is unbalanced. Although there has been an increase in the number of physicians in the rural areas of Turkey since the introduction of the Health Transformation Program in 2003, health statistics indicate that significant differences still exist between regions in terms of the population-to-physician ratio. The aim of this study was to determine the factors that affect physicians' decisions about working in rural areas in Turkey. Methods: Overall, 13 4 0 physicians working in urban areas constituted the sample group of this study. A survey method was used to collect the data. The questionnaire, which was used as a data collection tool, included nine questions to gather the opinions of physicians regarding working in rural areas. Variables such as occupational group and financial incentives affecting the physicians' willingness to work in rural areas were analyzed with descriptive statistics, and the answers given according to these variables were compared via t-test and one-way analysis of variance. Results: Of the sample, 59.9% of the participant physicians were men, and 36.9% were specialists. Opinions of the physicians about working in the rural areas differed significantly by occupational group, marital status and income. Medical residents and general practitioners were more willing to work in rural areas than other profession groups. In addition, single physicians were more open to working in rural areas than were married physicians. An increase in physicians' income reduced their willingness to work in rural areas. The developmental level of the region where they worked was found to be a very important variable affecting their preferences. Participants working in developed regions are reluctant to work in the rural areas. Conclusions: Specific occupational groups, young and single physicians, and physicians working in underdeveloped regions were found to be the groups that can more easily be motivated to work in rural areas. To encourage physicians to work in rural areas, monetary and non-monetary incentives should be considered.Wo

Changes And Determinants In Under-Five Mortality Rate In Turkey Since 1988

Child survival is the focus of the fourth Millenium Developmental Goal (MDG4). This paper describes levels, trends, and differentials in Under-Five Mortality Rate (U5MR) and also summarizes state programmes in Turkey between 1988 and 2010. Turkey is among only a few countries that have already surpassed MDG4 and have reduced their under-five mortality rate by more than two-thirds. In 2010, 13 out of every 1,000 children died before their fifth birthday. Low birth weight, high-birth order, short birth intervals, rural residence, low level of maternal education and lowest wealth quintile have affected negatively children's chances of survival. Expanding the scope of free vaccination programmes for children, improving screening and disease prevention schemes aimed at children, encouraging breasffeeding, implementing an emergency obstetric care programme, improving the services provided to newborns (a newborn intensive care programme) have brought about a significant decrease in the rate of infant and under-five mortality. The implementation of state and region specific action plans should be necessary to increase the chance of an access to the Continuum of Care for each mother and infant and to surpass MDG4.Wo

Estimating Mortality and Causes of Death in Turkey: Methods, Results and Policy Implications

BACKGROUND: Cause-specific mortality statistics are primary evidence for health policy formulation, programme evaluation, and epidemiological research. In Turkey, a partially functioning vital registration system in urban areas yields fragmentary evidence on levels and causes of mortality. This article discusses the application of innovative methods to develop national mortality estimates in Turkey, and their implications for national health development policies. METHODS: Child mortality levels from the Demography and Health Survey (DHS) were applied to model life tables to estimate age-specific death rates. Reported causes of death from urban areas were adjusted using re-distribution algorithms from the Global Burden of Disease (GBD) Study. Rural cause structure was estimated from epidemiological models. Local epidemiological data was used to adjust model-based estimates. RESULTS: Life expectancy at birth in 2000 was estimated to be 67.7 years (males) and 71.9 years (females), about 8-10 years lower than in Western Europe. Leading causes of death include major vascular diseases (ischaemic heart disease, stroke) causing 35-38% of deaths, chronic obstructive lung disease and lung cancer in men, but also perinatal causes, lower respiratory infections and diarrhoeal diseases. Injuries cause about 6-8% of deaths, although this may be an underestimate. CONCLUSIONS: Mortality estimates are uncertain in Turkey, given the poor quality of death registration systems. Application of burden of disease methods suggests that there has been progress along the epidemiological transition. Key health development strategies for Turkey include improved access to communicable disease control technologies, and urgent attention to the development of a reliable, nationally representative health information system