REFERENCES Abadie, A. (2002). Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models. Journal of the American Statistical Association . 97(457), p. 284-292. Aldrich, J. H. and Nelson, F. D. (1984). Linear Probability, Logit, and Probit Models . 1 st edition. Beverly Hills: Sage Publications. Becker, S. O. and Ichino, A. (2002). Estimation of average treatment effects based on propensity scores. The Stata Journal . 1(4), p. 358–377. Cameron, A. C. and Trivedi, P. K. (2013). Microeconometrics: methods and
Andruškienė Jurgita, Barsevičienė Šarūnė, Mažionienė Asta and Virbalienė Akvilė
The research in the area of health sciences students’ sleep quality and mood disorders is lacking in Lithuania, as well as other European countries. The aim of this study was to compare prevalence of poor sleep, anxiety and depression among the students according to the study programmes and to assess the relations among poor sleep, depression and anxiety. The study sample consisted of 672 Klaipeda State University of Applied Sciences students (95.5% were female), from 18 to 46 years of age. Sleep quality was evaluated by Pittsburgh Sleep Quality Index, anxiety by Hospital Anxiety and Depression Scale, sociodemographic questions were used. The chi-square test or Fisher exact test was used to estimate association between categorical variables. P-values less than 0.05 were interpreted as statistically significant. Poor sleep was more prevalent among Beauty Therapy (26.4%, 95% CI 22.2-30.56) and Nursing (21.3%, 95% CI 17.42 – 25.17) students, as compared with persons studying in Oral Health programmes (14.8%, 95% CI 11.46 – 18.17), p<0.05. Depression mean score was higher in Beauty Therapy students (4.76), as compared to Oral Health (3.69) students, p<0.05. Beauty Therapy (9.99) or Physiotherapy students (8.24) had higher anxiety mean score, as compared to Oral Health students (7.14), p<0.05. Anxiety mean score was significantly higher (8.45) among the ones with disturbed sleep, as compared to normally sleeping students (5.86), p<0.001. Depression mean score (4.77) was higher among the students having disturbed sleep, as compared to the students which sleep was not disturbed (2.87), p<0.001. Poor sleep and anxiety were more prevalent among the students aged 20 years and older as compared to the students, aged 18 and 19 years. Second and third year students more often had poor sleep or anxiety as compared to the first-year students. Poor sleep and anxiety were more common among Beauty Therapy and Physiotherapy students than among Oral Health Students. Among the students who slept poorly, symptoms of anxiety and depression were statistically significantly more frequent than those students whose sleep was not disturbed. Depression and anxiety mean scores were statistically significantly higher among the students who had poor sleep, as compared to the ones who had normal sleep, in all age and year of studying groups.
Geraldine Robbins, Gerard Turley and Stephen McNena
It was over a quarter of a century ago that information from the financial statements was used to benchmark the efficiency and effectiveness of local government in the US. With the global adoption of New Public Management ideas, benchmarking practice spread to the public sector and has been employed to drive reforms aimed at improving performance and, ultimately, service delivery and local outcomes. The manner in which local authorities in OECD countries compare and benchmark their performance varies widely. The methodology developed in this paper to rate the relative financial performance of Irish city and county councils is adapted from an earlier assessment tool used to measure the financial condition of small cities in the US. Using our financial performance framework and the financial data in the audited annual financial statements of Irish local councils, we calculate composite scores for each of the thirty-four local authorities for the years 2007–13. This paper contributes composite scores that measure the relative financial performance of local councils in Ireland, as well as a full set of yearly results for a seven-year period in which local governments witnessed significant changes in their financial health. The benchmarking exercise is useful in highlighting those councils that, in relative financial performance terms, are the best/worst performers.
Jurgita Andruškienė, Šarūnė Barsevičienė, Lijana Dvarionaitė, Jūratė Grubliauskienė and Asta Mažionienė
There is a lack of data about oral health-related quality of life (OHRQoL) among the parents of pre-school children, especially in Lithuania and the relationships among socio-economic status, oral care habits and OHRQoL. Research questions: is OHRQoL influenced by socioeconomic status or oral care habits? Research focus – oral health-related quality of life among the parents of pre-school children. The aim of this study was to analyze the relationships among socioeconomic status, oral care habits and oral helath-related quality of life among the parents of pre-school children in Klaipeda. The study sample consisted of 375 parents (mother or father) of pre-school children. The questionnaire survey was conducted at randomly selected 23 kindergartens in Klaipeda city. The questionnaire consisted of sociodemographic and oral care habits questions. All the participants were examined by self-administered OIDP questionnaire, which measured oral impacts on physical, psychological and social aspects of daily performances. The highest overall impact on OHRQoL among the parents of pre-school children was observed in the domain of Carrying out major work or role (73.0), the lowest one in the Eating and enjoying food (25.74) domain. Mean OIDP score was significantly higher among the parents whose socioeconomic status was low (35.44), reflecting poorer OHRQoL, as compared with high (8.07) socioeconomic status. Parents with poor oral care habits significantly more frequently were affected (79.2%) in Smiling, laughing domain, as compared to the parents whose oral care habits were good (20.8%). Lower socioeconomic status and poorer oral care habits were related with worsened oral health-related quality of life, especially in the area of psychological performances.
of Propensity Score Matching . Bonn: The Institute for the Study of Labor (IZA). Caliendo, M., Künn, S., & Schmidl, R. (2011). Fighting Youth Unemployment: The Effects of Active Labor Market Policies . Bonn: The Institute for the Study of Labor (IZA). Caliendo, M., & Schmidl, R. (2016). Youth unemployment and active labor market policies in Europe. IZA Journal of Labour Policy, 5 (1), 1-30. Doi: 10.1186/s40173-016-0057-x Calmfors, L., Forslund, A., & Hemström, M. (2002). Does active labour market policy work? Lessons from the Swedish
References Boyne, G. (2004). Explaining Public Service Performance: Does Management Matter? Public Policy Administration, 19(4), 100-117. Bureš, R. (2010). Transparentnost a financování sportovní politiky na místní úrovni. In I. Slepičková & P. Slepička. (Eds.), Sport a politika (pp. 78-90). Praha: UK FTVS. Coalter, F. (2007). A wider social role for sport: Who’s keeping the score? London: Routledge. Collins, M. (2004). Sport, physical activity and social exclusion. Journal of Sports Sciences, 22
consultant recruitment, appointment and retention. Retrieved from https://www.hse.ie/eng/staff/resources/hrpublications/consultantrecruitment-dec16.pdf [10 January 2019]. IMO. (2017). IMO submission to the Public Service Pay Commission. Retrieved from https://www.imo.ie/news-media/news-press-releases/2017/imo-submissions-tot-the-p/Published-Submission-Consultants.pdf [4 January 2019]. Jackson, J. E., & Kingdon, J.W. (1992). Ideology, interest group scores and legislative votes. American Journal of Political Science, 36 (3), 805–23. Joint
Vivienne Byers, Daragh Fahey, Carol Mullins and Carol Roe
, L. (2009). Effects of survey mode, patient mix, and nonresponse on CAHPS hospital survey scores. Health Services Research, 44 (2), 501-18. Fenton, J. J., Jerant, A. F., Bertakis, K. D., & Franks, P. (2012). The cost of satisfaction: A national study of patient satisfaction, health care utilization, expenditures, and mortality. Archives of Internal Medicine, 172 (5), 405-11. Francis R. (2013). Report of the Mid-Staffordshire NHS Foundation Trust Public Enquiry. London: Stationery Office. Garrison, M., & Wolf, J. A