Health indicators in Europe: availability and data needs

Kilpeläinen, Katri; Tuomi-Nikula, Antti; Thelen, Jürgen; Gissler, Mika; Sihvonen, Ari-Pekka; Kramers, P.G.N.; Aromaa, Arpo

doi:10.1093/eurpub/ckr195

Cited by 23 publications

(21 citation statements)

References 4 publications

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“…Funding patterns explain, in part, what appears to be a more balanced portfolio of PHI activities with a strong but smaller emphasis on surveillance. In developed nations with a strong integrated public health system such as Canada [145,146], Australia [147], Taiwan [27] and several European nations [148][149][150], PHI activities include an emphasis on integrating data and supporting bi-directional communication between clinical and public health services. Whereas in the US, PHI efforts have focused largely on EHR incentive policies that seek to improve how public health agencies gather the data they need to monitor the health of populations [29,33,151].…”

Section: Public Health Informaticsmentioning

confidence: 99%

What’s Past is Prologue: A Scoping Review of Recent Public and Global Health Informatics Literature

Dixon

Pina

Kharrazi

et al. 2015

OJPHI

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Objective: To categorize and describe the public health informatics (PHI) and global health informatics (GHI) literature between 2012 and 2014.Methods: We conducted a semi-systematic review of articles published between January 2012 and September 2014 where information and communications technologies (ICT) was a primary subject of the study or a main component of the study methodology. Additional inclusion and exclusion criteria were used to filter PHI and GHI articles from the larger biomedical informatics domain. Articles were identified using MEDLINE as well as personal bibliographies from members of the American Medical Informatics Association PHI and GHI working groups.Results: A total of 85 PHI articles and 282 GHI articles were identified. While systems in PHI continue to support surveillance activities, we identified a shift towards support for prevention, environmental health, and public health care services. Furthermore, articles from the U.S. reveal a shift towards PHI applications at state and local levels. GHI articles focused on telemedicine, mHealth and eHealth applications. The development of adequate infrastructure to support ICT remains a challenge, although we identified a small but growing set of articles that measure the impact of ICT on clinical outcomes.Discussion: There is evidence of growth with respect to both implementation of information systems within the public health enterprise as well as a widening of scope within each informatics discipline. Yet the articles also illuminate the need for more primary research studies on what works and what does not as both searches yielded small numbers of primary, empirical articles.Conclusion: While the body of knowledge around PHI and GHI continues to mature, additional studies of higher quality are needed to generate the robust evidence base needed to support continued investment in ICT by governmental health agencies.

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Section: Public Health Informaticsmentioning

confidence: 99%

What’s Past is Prologue: A Scoping Review of Recent Public and Global Health Informatics Literature

Dixon

Pina

Kharrazi

et al. 2015

OJPHI

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“…Veselovskaya N. G. 1,3 , Chumakova G. A. 1,2 , Shenkova N. N. 2,4 , Osipova E. S. 2 , Gritsenko O. V. , and visceral obesity by the thickness of epicaridal fat ≥7 mm.…”

Section: Risk Assessment Model For Coronary Atherosclerosis In Patienmentioning

confidence: 99%

“…1,2 , Shenkova N. N. 2,4 , Osipova E. S. 2 , Gritsenko O. V. , and visceral obesity by the thickness of epicaridal fat ≥7 mm. After coronary arteriography or multidetector computed tomography of coronary arteries we selected 2 comparison groups: group I (n=25) -patients with coronary atherosclerosis, group II (n=42) -without.…”

Section: Risk Assessment Model For Coronary Atherosclerosis In Patienmentioning

confidence: 99%

“…В последние годы большое внимание уделяется про-блеме ожирения как фактору риска (ФР) ишемической болезни сердца (ИБС), что связано с его высокой рас-пространенностью среди населения [1]. Изучено и доказано, что важная роль в развитии сердечно-сосу-дистых осложнений (ССО) у пациентов с ожирением принадлежит нейрогуморальной активности висце-рального жира, в том числе -и эпикардиального жиро-вого депо [2,3].…”

Section: Risk Assessment Model For Coronary Atherosclerosis In Patienunclassified

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Risk Assessment Model for Coronary Atherosclerosis in Patients With Visceral Obesity

et al. 2015

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Цель. Создать модель прогнозирования риска коронарного атеросклероза у пациентов с висцеральным ожирением и провести сопоставление созданной модели с известными шкалами Framingham и PROCAM. Материал и методы. В исследование было включено 67 мужчин, 40-65 лет (50,95±6,54 лет) с отсутствием клиники стенокардии и клинических проявле-ний атеросклероза другой локализации. Пациенты имели общее ожирение I-III степени, ИМТ 35,16±3,32 кг/м 2 и висцеральное ожирение по показателю толщины эпикардиальной жировой ткани ≥7 мм. В результате проведения коронароангиографии или мультиспиральной компьютерной томографии коронарных артерий были выделены 2 группы сравнения: Группа I (n=25) -пациенты с наличием коронарного атеросклероза, Группа II (n=42) -паци-енты с отсутствием коронарного атеросклероза. Для создания шкалы прогно-зирования коронарного атеросклероза в качестве регрессионной модели была выбрана регрессия с оптимальным шкалированием. , and visceral obesity by the thickness of epicaridal fat ≥7 mm. After coronary arteriography or multidetector computed tomography of coronary arteries we selected 2 comparison groups: group I (n=25) -patients with coronary atherosclerosis, group II (n=42) -without. For the invention of the prognostic score we used regression model with regression and optimal scaling. Results. Potential predictors of coronary atherosclerosis risk as a result of two groups comparison were: arterial hypertension, carbohydrate metabolism disorders, triglycerides, leptin, adiponectin and C-rective protein. As the result of regression analysis each predictor got its own significance mark. The rate of correct classifications reached 79,1% that shows good prognostic value of this regression model. While using Framingham and PROCAM model the prognostic value of subclinical coronary atherosclerosis was 24,6% and 21,6% lower, resp., than the new risk assessment. Conclusion. The model invented of the risk assessment in visceral obesity patients makes it possible to take into account the main pathogenetic mechanisms that connect obesity and coronary atherosclerosis.

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“…Recently, the findings were analysed in depth [13] to assess the availability of the ECHI indicators in all European countries. The main findings were that whereas some indicators such as mortality and causes of death were universally available many other indicators were not.…”

Section: The Echim Projects Propermentioning

confidence: 99%

Implementation of joint health indicators in Europe - Joint Action for ECHIM. Arpo Aromaa on behalf of the ECHIM core group

Aromaa

2012

Arch Public Health

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The story of the implementation of the joint EU health indicators (ECHI indicators) began in the 1990s after the Amsterdam Treaty. The first concrete step in establishing a health monitoring capacity for EU was the Commission working group set up in 1997. Several consecutive and parallel projects, notably the health indicator projects ECHI-1 and ECHI-2 between the years 2000 and 2005 led to a preparedness to implement the jointly agreed health indicators (ECHI shortlist) in all European countries. ECHIM (2005 – 2008) and the Joint Action for ECHIM (2009 - ) laid the foundation for the implementation of health indicators, and initiated Europe wide implementation proper. After the European recession of 2008 the circumstances in different countries were not optimal. Also the collaboration with the Commission could have been better. Nevertheless, the implementation process of the ECHI indicators is now well underway in most countries. By June 2012 half of the Member States had incorporated the ECHI indicators into their national health information system, and, if work can continue, by 2014 most countries are likely to have done so. Unfortunately, a gap may occur between the current programme and the next public health programme. The current momentum must not be lost. Therefore, all those responsible need to urge that the Commission (DG SANCO) together with the Member States helps to bridge the gap from June 2012 to January 2014. The new Public Health Programme provides the necessary financial instruments for setting up a permanent EU health information and reporting system.

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Health indicators in Europe: availability and data needs

Cited by 23 publications

References 4 publications

What’s Past is Prologue: A Scoping Review of Recent Public and Global Health Informatics Literature

What’s Past is Prologue: A Scoping Review of Recent Public and Global Health Informatics Literature

Risk Assessment Model for Coronary Atherosclerosis in Patients With Visceral Obesity

Implementation of joint health indicators in Europe - Joint Action for ECHIM. Arpo Aromaa on behalf of the ECHIM core group

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