The objective of this paper was to compare health outcomes and hospital care use of very low birth weight (VLBW), and very preterm (VLGA) infants in seven European countries. Analysis was performed on linkable patient-level registry data from seven European countries between 2006 and 2008 (Finland, Hungary, Italy (the Province of Rome), the Netherlands, Norway, Scotland, and Sweden). Mortality and length of stay (LoS) were adjusted for differences in gestational age (GA), sex, intrauterine growth, Apgar score at five minutes, parity and multiple births. The analysis included 16,087 infants. Both the 30-day and one-year adjusted mortality rates were lowest in the Nordic countries (Finland, Sweden and Norway) and Scotland and highest in Hungary and the Netherlands. For survivors, the adjusted average LoS during the first year of life ranged from 56 days in the Netherlands and Scotland to 81 days in Hungary. There were large differences between European countries in mortality rates and LoS in VLBW and VLGA infants. Substantial data linkage problems were observed in most countries due to inadequate identification procedures at birth, which limit data validity and should be addressed by policy makers across Europe.
BackgroundIn evidence-informed policy-making (EIP), major knowledge gaps remain in understanding the context and possibilities for institutionalisation of knowledge translation. In 2014, the WHO Evidence-informed Policy Network (EVIPNet) Europe initiated a number of pilot countries, with Hungary among them, to engage in a ‘situation analysis’ (SA) in order to fill some of those gaps. This contribution discusses the results of the SA in Hungary on research–policy interactions, facilitating factors and potential barriers to establish a knowledge translation platform (KTP).MethodsIn line with the EVIPNet Europe SA Manual, a document analysis, 13 interviews, 3 focus group discussions with 21 participants, and an online survey with 31 respondents were carried out from April to October, 2015. A SA aims to assess the context in which EIP takes form and seeks opportunities to establish a KTP, so information was gathered on the current practice of EIP and knowledge translation, its relevant actors, enablers and barriers for EIP, and opinions on a future KTP. Methodological and researcher triangulation resulted in a narrative synthesis of data, including a comparison with literature. A stakeholder consultation was organised to validate findings.ResultsThis study reveals that stakeholders show commitment to produce and use research evidence in Hungarian health policy-making. All stakeholders endorsed the idea of strengthening the systematic use of evidence in decision-making and favoured the idea of establishing a KTP. In line with literature on other countries, some good practices exist on the uptake of evidence in policy-making; however, a systematic approach of developing, translating and using research evidence in health policy processes is lacking. EIP is currently hampered by scattered capacity, coordination problems, high fluctuation in government, an often legalistic and a more ‘symbolic’ rather than practical support for knowledge translation and EIP. The article summarises recommendations on a Hungarian KTP.ConclusionsPragmatic adaptation of the SA Manual to local needs proved to be a useful mechanism to provide insight into the Hungarian EIP field and the establishment of a potential KTP. Despite the success of a KTP pilot, it remains unclear how a KTP in Hungary will be institutionalised in a sustainable way.Electronic supplementary materialThe online version of this article (10.1186/s12961-018-0331-z) contains supplementary material, which is available to authorized users.
Background: Bipolar disorder if untreated, has severe consequences: severe role impairment, higher health care costs, mortality and morbidity. Although effective treatment is available, the delay in diagnosis might be as long as 10-15 years. In this study, we aim at documenting the length of the diagnostic delay in Hungary and identifying factors associated with it. Methods: Kaplan-Meier survival analysis and Cox proportional hazards model was employed to examine factors associated with the time to diagnosis of bipolar disorder measured from the date of the first presentation to any specialist mental healthcare institution. We investigated three types of factors associated with delays to diagnosis: demographic characteristics, clinical predictors and patient pathways (temporal sequence of key clinical milestones). Administrative data were retrieved from specialist care; the population-based cohort includes 8935 patients from Hungary. Results: In the sample, diagnostic delay was 6.46 years on average. The mean age of patients at the time of the first bipolar diagnosis was 43.59 years. 11.85% of patients were diagnosed with bipolar disorder without any delay, and slightly more than one-third of the patients (35.10%) were never hospitalized with mental health problems. 88.80% of the patients contacted psychiatric care for the first time in outpatient settings, while 11% in inpatient care. Diagnostic delay was shorter, if patients were diagnosed with bipolar disorder by non-specialist mental health professionals before. In contrast, diagnoses of many psychiatric disorders received after the first contact were coupled with a delayed bipolar diagnosis. We found empirical evidence that in both outpatient and inpatient care prior diagnoses of schizophrenia, unipolar depression without psychotic symptoms, and several disorders of adult personality were associated with increased diagnostic delay. Patient pathways played an important role as well: the hazard of delayed diagnosis increased if patients consulted mental healthcare specialists in outpatient care first or they were hospitalized. Conclusions: We systematically described and analysed the diagnosis of bipolar patients in Hungary controlling for possible confounders. Our focus was more on clinical variables as opposed to factors controllable by policy-makers. To formulate policy-relevant recommendations, a more detailed analysis of care pathways and continuity is needed.
Incidence of and survival from breast cancer showed large differences between countries. Substantial improvements in the use of internationally recognised common terminology, standardised data coding and data completeness for prognostic indicators are required before international comparisons of routine data can be used to inform health policy.
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