Healthy Life Years

The Healthy Life Years (HLY) indicator, also known as disability-free life expectancy or Sullivan's Index, is a European structural indicator computed by Eurostat. It is one of the summary measures of population health, known as health expectancies,[1] composite measures of health that combine mortality and morbidity data to represent overall population health on a single indicator.[2] HLY measures the number of remaining years that a person of a certain age is expected to live without disability.

History

The European Union has decided to include a small set of health expectancies among its European Community Health Indicators (ECHI) to provide synthetic measures of disability, chronic morbidity, and perceived health. Therefore the Minimum European Health Module (MEHM), composed of 3 general questions covering these dimensions,[3] has been introduced into the Eurostat EU-Statistics on Income and Living Conditions Survey (EU-SILC)[4] to improve the comparability of health expectancies between countries. In addition life expectancy without long term activity limitation, based on the disability question, was selected in 2004 to be one of the structural indicators to be examined every year, during the European Spring Council for assessing the EU strategic goals (Lisbon Strategy) under the name of “Healthy Life Years” (HLY).[5] Furthermore the European Union is co-funding a Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (CHRODIS-JA).[6] This aims to promote and facilitate a process of exchange and transfer of good practices between European countries and regions, addressing chronic conditions, with a specific focus on health promotion and prevention of chronic conditions, multi-morbidity and diabetes.

Detailed information on the Health Expectancies in Europe are available from the EurOhex Advanced research on European health expectancies[7] while latest Healthy Life Years values can be found on the general public website devoted to the Healthy Life Years.[8]

Context

Dramatic increases in life expectancy in the most developed countries - and therefore in the countries of the European Union - constitute one of the most remarkable advances of the last decades. But why prolong life if this is to be accompanied by increases in severe mental and physical impairment? Thus a further challenge confronts the European Community:

increasing life expectancy in good health.

In this context, the classical mortality indicators are no longer sufficient to monitor the health status of European populations. The availability of health expectancy indicators dividing life expectancy into life spent in different states of health is useful to health authorities in the field of public health and health policies provided that these indicators allow comparisons over time and between geographic areas and between socio-economic groups in society. As the post-war generation reaches retirement, the pace of ageing will increase dramatically in our European societies, with profound social effects. HLY is an important indicator :

  • Health of a population is inherently difficult to measure because it is often defined differently among individuals, populations, cultures, and even across time periods.
  • Many studies focus on measures such as physical impairment or disability in functional tasks or presence of a specific chronic disease. Self-assessed health, being much more global and subjective in nature, can incorporate a variety of aspects of health including cognitive and emotional as well as physical status, and therefore provide insights into the needs of an ageing society. Hence, self-assessed health measures as HLY may be a particularly important indicator of the potential demand for health services and long-term care needs.
  • The two components of the calculation of the HLY are life tables and self-perceived disability assessed by health surveys. From 1995 to 2001, data from the Eurostat European Community Household Panel (ECHP) survey have been used for the EU-15 Member States. Its successor, the Eurostat EU-SILC has been used from 2005 onwards for the EU-25 and then 27 Member States.
  • Analyses of the healthy life years values disclose significant inequalities among the European countries.[9]

Productivity behind Healthy Life Years monitoring


Healthy life years can also be seen to be a productive or economic analysis factor. The consequences of increasing the number of healthy life years can be advantageous in the economic world. An increase in these years is one of the EU's health policy goals. That is because an increase in the number of healthy life years will not only improve the situation of an individual (in regards to their health and leading a long life during which they are able to do all the fundamental life activities without experiencing any limitations or disability) but would also lead to lower healthcare expenditure. It would also increase the possibility that people will be willing to and able to continue to work later into life. with all these expected outcomes, the economy is to benefit by either having less money spent or even more money made as people work more later into life therefore helping the country's business and/or economy grow.

Statistical findings

Different estimations are made for men and women. In 2015, the number of healthy years of women in the EU-28 was estimated to be at 63.3 years and of men to be at 62.6 years. The interesting part of this is that the gender gap was considerably smaller in regards to healthy life years than to overall life expectancy. This would imply that biologically, gender would not really affect the rate and time at which humans would become healthy yet gender would play a role in how long human beings would be able to live in general, including the years during which they live in an unhealthy state.

Data sources and availability

Eurostat calculates information about the healthy life years at three different ages during a person's life. One is at birth, another is at age 50, and the third is at age 65, with an indicator used separately for men and women. The data is calculated and collected by using mortality statistics as well as self perceived longstanding activity limitations- a dimension that captures longstanding limitation in regards to health and/or disability to perform usual and frequent activities. An example of a question that might be asked concerning the longstanding activity limitation is: "For the last six months, to what extent have you been limited because of a health problem in activities that people usually do?" Some available answers are "severely limited", "limited but not severely", or "not limited at all".

Limitations of the data


The indicators used to calculate a person's healthy life years are self-reported to a certain extent and therefore would be considered limited. The collected data is affected by the respondent's subjective perception as well as by their social and cultural background. That is because people from different social backgrounds like different cultures, race and ethnicity, and socioeconomic status can have different interpretations of what it means and how it feels to be healthy. Another limitation in regards to the way the data is collected is the consideration of institutionalized people. For example, people living in health and social care institutions, who are expected to be more likely to face limitations than the rest of the population that is living in private households, are not covered or surveyed when collecting the data for healthy life years calculations and expediencies. This therefore impacts the results by limiting it and making it less inclusive.

Sociological challenges

Health status is hard to define and can differ greatly from one person to another depending on their lifestyles, social backgrounds, economic status, etc. Besides comparing one individual to another, health status would be even harder to define among individuals, populations, cultures, or even across time periods because each of these categories can be affected by different and even unrelated factors. Adding on to that, being healthy and feeling well can be defined and measured in many different ways. Generally, symptoms involve the assessment of physical and psychological sensations that could usually be determined by a physician or a psychiatrist. Yet, they can only be felt by the patient who will subjectively explain what they feel. These assessments are usually stereotyped to pain and/or feeling of anxiety. These measures are not always observable and their tolerance can vary from one person to another depending on the social background of the person. Therefore, to combine the measures of the different health concepts that people have in their minds into a single number, there is a need to have a conceptual model that would take into consideration that health is a continuum that ranges from perfect health to death.

Another sociological challenge other than the fact that physical and psychological sensations vary between people is race and ethnic differences. The number of healthy life years can easily differ from one race and ethnic group to another. That is because different races and ethnicity lead different lifestyles, eat different kinds of food, and live in different environments geographically. All these factors when taken into account could impact the chance of people getting certain diseases or losing their ability to perform a daily life activity. For example, if a certain group of people who pertain to a certain race or ethnic group, where they eat primarily unprocessed food, then these people are less prone to certain diseases and are more likely to live disease free lives for a longer time than people whose diet consists of highly processed food.[10]

Moreover, even people of the same culture and race but of different socioeconomic status could live different number of healthy life years. People of different socioeconomic status can afford different living expenses. For example, consider a poor family that could only afford living in a poor neighborhood where the underground water pipes have very high exposure to lead and where their house lies beside a canal where industries spit their toxic emissions. The members of this family are, according to health science, expected to suffer from health issues earlier in their lives because their lifestyle according to their socioeconomic status forces them to be exposed daily to toxic substances in their environment and to drink water that has high levels of lead. Both of these life circumstance are factors known to cause high blood pressure, kidney failures, etc. With these adverse health effects, these people would have limited ability or in other words are not considered as healthy as members of a family from their same race who live in a wealthy town where their water pipes are tested every now and then.

Overall, many sociological factors need to be considered when calculating the number of healthy life years that people can live. These factors can include but are not limited to: race, ethnicity, household upbringing, and socioeconomic status.

See also

References

  1. ↑ "Glossary EurOhex website" (PDF). Archived from the original (PDF) on 2016-03-04. Retrieved 2011-10-12.
  2. ↑ J.-M. Robine. Summarizing health status. In: Pencheon D, Guest C, Melzer D, Gray JAM, editors. Oxford Handbook of Public Health Practice. 2nd ed. Oxford: Oxford University Press; 2006. p. 160-168
  3. ↑ B. Cox, H. Van Oyen, E. Cambois, C. Jagger, S. Le Roy, J-M Robine, I.Romieu. The reliability of the Minimum European Health Module. International Journal of Public Health 2009;(54):55-60 (DOI 10.1007/s00038-009-7104-y), p57
  4. ↑ Regulation (EC) No 1177/2003 of the European Parliament and of the Council of 16 June 2003 concerning Community statistics on income and living conditions (EU-SILC)
  5. ↑ Health Life Years in the core of the Lisbon Strategy
  6. ↑ http://www.chrodis.eu/
  7. ↑ "EurOhex". Archived from the original on 2017-03-13. Retrieved 2011-10-12.
  8. ↑ "healthy-life-years.eu". Archived from the original on 2017-09-19. Retrieved 2008-11-25.
  9. ↑ C. Jagger, C. Gillies, F. Mascone, E. Cambois, H. Van Oyen, W.J. Nusselder, J.-M. Robine, EHLEIS team. Inequalities in healthy life years in the 25 countries of the European Union in 2005: a cross-national meta-regression analysis. The Lancet 2008;372(9656):2124-2131 (DOI 10.1016/S0140-6736(08)61594-9)
  10. ↑ Zobel, E.H., Hansen, T.W., Rossing, P. et al. Curr Obes Rep (2016) 5: 449. https://doi.org/10.1007/s13679-016-0233-8
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