How can we use modern health information��to improve ?��Hypthesis:�There are countries we can learn from.

Hackathon

4-5/Aug/2018

@Karin

DATA SOURCE: OECD Data Set

• The analyzed data set includes perceived health data from all OECD countries from yearly surveys from 2006 to 2016

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• The perceived health score represents the % of respondents stating their health was “good” or “very good”*

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• Perceived health scores are available as averages by gender, age cluster, level of education, socio-economic class

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^{*From the OECD statistics documentation:}

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^{“There is not yet full standardisation of the measurement of perceived health status across OECD countries. In Europe, a standard health interview survey instrument has been recommended to measure this variable […] and is as follows:}

^{How is your health in general?}

^{Very good / Good / Fair / Bad / Very bad}

^{Not all countries have adopted this standardised instrument. Differences in the questions and response categories used in national health surveys from this standardised instrument are listed in the Sources and Methods.”}

• Top 5 healthiest OECD countries: NZ, Canada, U.S.A., Australia, Ireland
• Bottom 5 healthiest OECD countries: Japan, Korea, Latvia, Lithuania, Portugal
• In all OECD countries except Estonia and Australia, men report better health than women, i.e. health score delta > 0 in above graph!

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ANALYSIS 1: OECD Health Score Averages 2006 – 2016

Top 5

Bottom 5

• Health scores differ between different age groups: the younger the higher the score.
• Japan and Korea have surprisingly low health scores for young women and men (15 – 44 yrs).
• The health score differences between age groups are similar between men and women.
• Health scores of the age group 65+ years follow the total country average
• Biggest gap in health scores between older and younger women: Lithuania, Poland, Hungary, Slovakia, Turkey
• Smallest gap in health scores between older and younger women: NZ, Canada, Australia, U.S.A., Norway

ANALYSIS 2: OECD Health Scores by Gender & Age

• Only 2 out of 36 OECD countries report directionally higher average health scores for women (Estonia & Australia).
• Countries with biggest bias towards male health: Turkey, Korea, Chile, Portugal, Netherlands. These countries have better male health in almost every age group.
• Age group with biggest bias towards male health in general: 65+ yrs. This age group is affected even in countries which on average do not habe a bias towards male health. This could mean that women who reach old age are less healthy the men who reach old age. Watchout: women‘s age range in 65+ yrs cluster might be bigger than that of men, so, women 65+ yrs old would therefore be more prone to illnesses than men of 65+ yrs.

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ANALYSIS 3: OECD Health Score Differences by Gender

No bias

Big bias

CONCLUSION & RECOMMENDATION

• Women‘s health has still room for improvement as in most OECD countries men report better health than women.
• Women‘s health score is most similar to men‘s in Estonia (even biased towards women‘s health), Australia, NZ, Canada, Finland.
• The biggest gap between women‘s and men‘s health is in Turkey, Korea, Chile, Portugal, Netherlands.

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CONCLUSIONS

RECOMMENDATIONS

• Analyse the health care systems of NZ, Canada, U.S.A., Australia, Ireland as the overall best in class examples for reported health scores by both genders.
• Analyse the health care system of Estonia as best in class example for women‘s health compared to men‘s health (on an overall very low health score level however).
• Understand factors driving the big gap between women‘s and men‘s health in Turkey, Korea, Chile, Portugal, Netherlands.

Data Source

OECD, OECD Health Statistics 2018; 08/04/18 accessed; URL https://stats.oecd.org/

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Tools Used

JMP, Excel, Python Jupyter Notebook with pandas & matplotlib

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Link to Files

https://drive.google.com/drive/folders/1eorIb2q22dfjgl3n6YXbvwyHCrji1AfM?usp=sharing

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WORKS CITED