Despite the great expansion and many benefits of information and communication technologies in healthcare, the attitudes of Polish general practitioners to e-health have not been explored. The aim of this study was to determine the GPs’ perception of ICT use in healthcare and to identify barriers to the adoption of EMR in the Podlaskie Voivodeship. Online and telephone surveys were conducted between April and May 2013. Responses from 103 GP practices, 43% of all practices in the region, were analysed. The (...) results showed that 67% of the respondents agreed that IT systems improve quality of healthcare services. In the GP group who declared at least partial EMR implementation, 71.4% see the positive impact of IT on practice staff processes and 66.1% on personal working processes. In this group, more than three-quarters of GPs did not see any positive impact of ICT on the average number of patients treated per day, number of patients within the practice or scope of services. The four most common barriers to EMR implementation were: lack of funds, risk of a malfunction in the system, resistance to change, and lack of training and proper information. Although the use of ICT by Polish GPs is limited, their attitude to e-health is generally positive or neutral and resembles the overall pattern in Europe. Barriers identified by GPs need to be taken into account to ensure the effective implementation of e-health across the country. (shrink)

The purpose of the study was to analyse the level and the trends of Potential Years of Life Lost due to the main causes of death in Poland in the years 2002-2011. The material for the study was the information from the Central Statistical Office on the number of deaths due to the main causes of death in Poland in the years 2002-2011. The premature mortality analysis was conducted with the use of the PYLL indicator. PYLL rate was calculated following (...) the method proposed by J. Romeder, according to which premature mortality was defined as death before the age of 70. Time trends of PYLL rate and the average annual percent change were assessed using jointpoint models and the Joinpoint Regression Program. In the years 2002-2011, PYLL rate for all-cause deaths decreased by 7.0% among men and 8.1% among women. In 2011, the main reasons for PYLL among men were: external causes, cardiovascular diseases and cancers. Among women the leading causes were: cancers, cardiovascular diseases and external causes. PYLL rate increased among men for colorectal cancer, and among women for colorectal and lung cancer. The presented epidemiological situation for premature mortality in Poland shows that in the majority of cases it is caused by preventable deaths, which highlights a need to intensify measures in primary and secondary prevention. (shrink)

The youngest population in society is recognized as that at the healthiest stage of life but is burdened by the occurrence of premature death that should be avoidable. There is a need to use adequate statistical methods in assessing the health status of the population of developmental age. The aim of the study was to analyze trends of mortality in children and adolescents by age and gender in the Podlaskie Voivodeship in the years 2003-2012 by joinpoint regression and to identify (...) the causes of mortality. The mortality rate was analysed according to gender and the age groups: 0, 1-4, 5-9, 10-14 and 15-19 years in the Podlaskie Voivodeship. The data were obtained from the Central Statistical Office for the period 2003-2012. Differences in mortality levels between age and gender subgroups were obtained by the Wilcoxon signed-rank test. Join- point regression was used to analyze the trends in mortality. The nomenclature of ICD-10 was used to assess the causes of mortality of children and adolescents. In the Podlaskie Voivodeship in the years 2003-2012 in the 0-19-year-old age group, the highest proportion of deaths (42.4%) occurred during the first year of life. There were differences in mortality rates between boys (8.0/104) and girls (3.1/104) in the 15-19-year-old age group (p < 0.01), and also between the 1-14-year-old and 15-19-year-old age groups (p < 0.01), both among boys (2.1/104 vs. 8.0/104) and girls (1.5/104 vs. 3.1/104). Monotonous trends were shown regarding total mortality rates in infants. There was a drop in the mortality rate of infant girls (AAPC = 5.3%, p < 0.05) and boys (AAPC = 4.7%, p < 0.05). Changes in the direction of the total mortality rate trend were visible in the population of boys aged 1-14 years, in which, between 2003 and 2010, a significant reduction in mortality (AAPC = 9.5%) was observed, while in the years 2010-2012 the trend was not significant. No statistical evidence was found that mortality changed among girls in the 1-14-year-old and 15-19-year-old age groups. Deaths in infancy were due to perinatal conditions and congenital mal- formations. The main causes of mortality in the 1-19-year-old age group were external causes, mainly traffic accidents and intentional self-harm. Joinpoint regression indicated a uniform decrease of mortality in the years 2003-2012 except for boys from 1-14 years old, for whom the decreasing trend was for the years 2003-2010 with subsequent stabilization. The main problems are still infant deaths due to perinatal conditions, traffic accidents and intentional self-harm in boys in the 15-19-year-old age group. (shrink)

Maintenance of proper health and prevention of diseases of civilization are now significant public health problems. Nutrition is an important factor in the development of youth, as well as the current and future state of health. The aim of the study was to show the benefits of the application of cluster analysis to assess the dietary habits of high school students. The survey was carried out on 1,631 eighteen-year-old students in seven randomly selected secondary schools in Bialystok using a self-prepared (...) anonymous questionnaire. An evaluation of the time of day meals were eaten and the number of meals consumed was made for the surveyed students. The cluster analysis allowed distinguishing characteristic structures of dietary habits in the observed population. Four clusters were identified, which were characterized by relative internal homogeneity and substantial variation in terms of the number of meals during the day and the time of their consumption. The most important characteristics of cluster 1 were cumulated food ration in 2 or 3 meals and long intervals between meals. Cluster 2 was characterized by eating the recommended number of 4 or 5 meals a day. In the 3rd cluster, students ate 3 meals a day with large intervals between them, and in the 4th they had four meals a day while maintaining proper intervals between them. In all clusters dietary mistakes occurred, but most of them were related to clusters 1 and 3. Cluster analysis allowed for the identification of major flaws in nutrition, which may include irregular eating and skipping meals, and indicated possible connections between eating patterns and disturbances of body weight in the examined population. (shrink)