37 research outputs found

    Tips for calculating and displaying risk-standardized hospital outcomes in Stata

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    A major challenge of outcomes research is measuring hospital performance using readily available administrative data. When the outcome measure is mortality or morbidity, rates are adjusted to account for preexisting conditions that may confound their assessment. However, the concept of risk-adjusted outcomes is frequently misunderstood. In this article, we try to clarify things, and we describe Stata tools for appropriately calculating and displaying risk-standardized outcome measures. We offer practical guidance and illustrate the application of these tools to an example based on real data (30-day mortality following acute myocardial infarction in Latvia)

    Intervences plānošana dzīvesveida maiņai: Rokasgrāmata sabiedrības veselības veicināšanā iesaistītajiem speciālistiem

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    Projektā piedalījās: • Flensburgas Lietišķo zinātņu akadēmija (Vācija) – vadošais partneris; • Flensburgas pilsētas pašvaldība (Vācija); • Igaunijas Ģimenes ārstu biedrība (Igaunija); • Tallinas Tehnoloģiju universitāte (Igaunija); • SIA “ScanBalt” (Igaunija); • Turku pilsētas pašvaldība (Somija); • Seinajoki Lietišķo zinātņu universitāte (Somija); • Seinajoki Sociālās un primārās veselības aprūpes centrs (Somija); • Rīgas Stradiņa universitāte (Latvija); • Liepājas pilsētas pašvaldība (Latvija); • SIA “Telemedica” (Latvija); • Lietuvas Sociālo zinātņu universitāte (Lietuva); • Veselības izglītības un slimību profilakses centrs (Lietuva); • Poznaņas pilsētas pašvaldība (Polija). No Latvijas BaltCityPrevention projektā strādāja: • Rīgas Stradiņa universitātes Sabiedrības veselības institūta pārstāvji: projekta zinātniskā vadītāja asoc. prof., Dr. med. Inese Gobiņa, pētnieces: Santa Pildava, Dita Heiberga un Elīna Millere, projekta vadītājs Aigars Miezītis, projekta vadītāja asistente Margarita Apine; • Liepājas pilsētas pašvaldības administrācijas Vides, veselības un sabiedrības līdzdalības daļas vadītāja Elīna Tolmačova un veselības veicināšanas koordinētāja Anete Kopštāla; • SIA “Telemedica” projektu vadītāja Ance Balode. Plašāka informācija par projektu: www.baltcityprevention.eu. Šī publikācija un tiešsaistes kurss par intervences modeļa lietošanu ir atrodami projekta platformā: www.betterprevention.eu.Izdevumā “Intervences plānošana dzīvesveida maiņai” ir apvienoti Interreg Baltijas jūras reģiona programmas projektā BaltCityPrevention izstrādātie materiāli un to praktiskā izmantošanā gūtā pieredze. Projektā kopīgi strādāja 14 partnerorganizācijas no sešām valstīm, lai laika posmā no 2017. gada nogales līdz 2020. gada septembrim, sadarbojoties ar maziem un vidējiem uzņēmumiem un pielietojot vai izstrādājot e-rīkus, rastu intervences mērķgrupas līdzdalībā balstītu pieeju dzīvesveida radītu slimību profilaksei. Izdevumā aprakstītas projektā izstrādātā intervences modeļa lietošanas vadlīnijas un dzīvesveida maiņai individuālā vai grupu līmenī pielietojamie e-rīki.Finansētājs - INTERREG Baltijas jūras reģiona programma, kuru finansē Eiropas Savienības Reģionālās attīstības fonds

    Tips for calculating and displaying risk-standardized hospital outcomes in Stata

    No full text
    A major challenge of outcomes research is measuring hospital perfor- mance using readily available administrative data. When the outcome measure is mortality or morbidity, rates are adjusted to account for preexisting conditions that may confound their assessment. However, the concept of “risk-adjusted” out- comes is frequently misunderstood. In this article, we try to clarify things, and we describe Stata tools for appropriately calculating and displaying risk-standardized outcome measures. We offer practical guidance and illustrate the application of these tools to an example based on real data (30-day mortality following acute myocardial infarction in Latvia)

    The mortality of patients with diabetes mellitus in Latvia 2000–2012

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    Background and objective: In Latvia, like in other European countries, the incidence of diabetes mellitus is increasing and so it is important to find out what the trends in the mortality of diabetes mellitus in Latvia are. The aim of this study was to calculate the mortality indicators of diabetes patients in Latvia from 2000 to 2012 and compare mortality among diabetes mellitus patients with mortality among the population of Latvia. Materials and methods: The study was carried out with a quantitative statistical analysis approach. In the study, all the registered patients with diabetes mellitus from 2000 to 2012 were included. Results: Mortality in a population with diabetes decreased statistically significantly from 57.76 per 1000 py in 2000 to 45.33 per 1000 py in 2012. In the general population of Latvia, there were no statistically significant changes; the mortality in 2000 was 13.56 per 1000 py, in 2012 – 14.24 per 1000 py. The age-standardised mortality ratio of the population with diabetes and the population of Latvia decreased from 1.71 (95% CI = 1.62–1.81) in 2000 to 1.23 (95% CI = 1.19–1.27) in 2012. Conclusions: In Latvia the mortality of patients with diabetes exceeds mortality in the general population. Mortality rates are higher for men and older patients, however, compared to mortality in the general population, diabetes increases the risk of death; especially for women and for younger patients. There is a tendency that the mortality indicators of patients with diabetes and mortality indicators in the general population are becoming closer

    Implementation of health promoting policies through tailored interventions at health promoting schools and municipalities in Latvia

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    Schools and municipalities play an important role in local health promotion. The Institute of Public Health at Rıga Stradiņš University in collaboration with the National Centre of Disease Prevention and Control carried out an online survey for studying the experiences and needs of health-promoting schools and municipalities in Latvia in implementing health promotion interventions. The aim of this study was to explore the context for developing new intervention model for a health behaviour change model within the Interreg BaltCityPrevention project “Innovative Lifestyle-Related Disease Prevention Model in the Baltic Sea Region.” Totally 112 municipalities and 100 schools within the National Health Promoting Networks were targeted. Only schools and municipalities that had previous experiences in health promotion intervention development were included in the analysis. This study showed that school-aged children were the most prevalent target group for the both schools and municipality interventions. The interventions in physical activity and nutrition used to be the most common areas for health behaviour changes. Health promotion schools and municipalities reported several significant differences in experienced difficulties and expected future needs in implementing health promotion interventions, which should be considered for increasing the capacity for better health promotion for both schools and municipalities in Latvia

    Excess mortality associated with the COVID-19 pandemic in Latvia: a population-level analysis of all-cause and noncommunicable disease deaths in 2020

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    BACKGROUND: Age-standardised noncommunicable disease (NCD) mortality and the proportion of the elderly population in Latvia are high, while public health and health care systems are underresourced. The emerging COVID-19 pandemic raised concerns about its detrimental impact on all-cause and noncommunicable disease mortality in Latvia. We estimated the timing and number of excess all-cause and cause-specific deaths in 2020 in Latvia due to COVID-19 and selected noncommunicable diseases. METHODS: A time series analysis of all-cause and cause-specific weekly mortality from COVID-19, circulatory diseases, malignant neoplasms, diabetes mellitus, and chronic lower respiratory diseases from the National Causes of Death Database from 2015 to 2020 was used by applying generalised additive modelling (GAM) and joinpoint regression analysis. RESULTS: Between weeks 14 and 52 (from 1 April to 29 December) of 2020, a total of 3111 excess deaths (95% PI 1339 – 4832) were estimated in Latvia, resulting in 163.77 excess deaths per 100 000. Since September 30, with the outbreak of the second COVID-19 wave, 55% of all excess deaths have occurred. Altogether, COVID-19-related deaths accounted for only 28% of the estimated all-cause excess deaths. A significant increase in excess mortality was estimated for circulatory diseases (68.91 excess deaths per 100 000). Ischemic heart disease and cerebrovascular disease were listed as the underlying cause in almost 60% of COVID-19-contributing deaths. CONCLUSIONS: All-cause mortality and mortality from circulatory diseases significantly increased in Latvia during the first pandemic year. All-cause excess mortality substantially exceeded reported COVID-19-related deaths, implying COVID-19-related mortality during was significantly underestimated. Increasing mortality from circulatory diseases suggests a negative cumulative effect of COVID-19 exposure and reduced access to healthcare services for NCD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13491-4

    Consumption of thyroid medications as an indicator of increase of thyroid morbidity in Latvia from 2011 to 2014

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    Funding Information: EU Horizon 2020 research and innovation programme under grant agreement No 634453; project EUthyroid. The authors thank the EUthyroid project leader Henry Völzke and the work package leader Betina H. Thuesen for designing, planning and managing the project and, in particular, morbidity data collection. Publisher Copyright: © 2019 Ieva Kalere et al., published by Sciendo 2019.The most common autoimmune disorders with clinically opposite manifestations are hypothyroidism in Hashimoto's thyroiditis and hyperthyroidism in Graves' disease. The healthcare burden of thyroid disease is substantial, resulting in substantial health care costs. The aim of the present analysis is to assess the use of thyroid medications in Latvia from 2011 to 2014 by age and gender. Our study used reimbursed medication prescriptions data, collected by the National Health Service of Latvia. The main indicator was the number of prevalent users of thyroid medications each year from 2011 to 2014, stratified by age and gender. From 2011 to 2014, the number of thyroxine users per 100 000 revealed a statistically significant increase in all age and gender groups, except in 0- to 9-year-old girls. The number of Thiamazole users among men increased in the age group from 40 to 89 years and in women age groups above 49 years. Increasing sales of both thyroid hormones and antithyroid medications are also observed in Estonia and Lithuania, indicating that growing thyroid morbidity is an issue in the whole region. The substantial increase in number of patients highlights the necessity for national guidelines on the use of thyroid function tests and standards of medical care.Peer reviewe

    Monitoring the prevalence of severe intellectual disability in children across Europe:feasibility of a common database

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    Aim: Our aim was to study the feasibility of creating a framework for monitoring and undertaking collaborative research on intellectual disability at the European level, based on existing databases of children with such disability. Method: The characteristics of five existing European intellectual disability databases from four countries (Iceland, Latvia, Ireland, and two in France), were discussed on the basis of ideal criteria set by a working group on childhood intellectual disability as part of the Surveillance of Cerebral Palsy in Europe Network (SCPE-NET). Mean prevalence values for severe intellectual disability for the birth years 1990 till 2002 were compared across databases. Results: Methods of case recruitment and diagnosis differed across databases, but classification of intellectual disability and completeness were similar. Severe intellectual disability (IQ&lt;50) prevalence estimates were significantly (p&lt;0.001) different across databases (south-east France: 3.3 out of 1000; south-west France: 3.0 out of 1000; Latvia: 3.9 out of 1000; Ireland: 5.0 out of 1000; and Iceland 5.1 out of 1000). Interpretation: In spite of differences in diagnosis and case inclusion across databases, the construction of a common database for severe intellectual disability was deemed feasible through harmonization of certain criteria, such as age, and through restriction to those with severe intellectual disability.</p
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