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This project aims to illustrate the budget allocation for a global awareness campaign for World Mental Health Day. To bring awareness of mental health to the audiences that could benefit the most, we have chosen to optimise our budget based on data on the prevalence of mental health disorders.

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sandraperezescudero/World-Mental-Health-Day-Awareness-Campaign

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World Mental Health Day Awareness Campaign Ad Budget Allocation

This project was part of the Data Analysis Bootcamp @ Masterschool and it consisted of:

1. Marketing campaign Budget Allocation

Context

We have an allotted budget to spend on social media ads for the upcoming global awareness campaign for World Mental Health Day. In order to bring awareness of mental health to the audiences that could benefit the most, we have chosen to optimise our budget based on data on the prevalence of mental health disorders.

The analysis below outlines the insights about mental health prevalence and methodology for allocating our budget.

Dataset

Our dataset is from the Global Burden of Disease Study (2019) from the Institute of Health Metrics and Evaluation. As described on their website:

The Global Burden of Disease (GBD) study provides a comprehensive picture of mortality and disability across countries, time, age, and sex. It quantifies health loss from hundreds of diseases, injuries, and risk factors so that health systems can be improved and disparities eliminated.

The dataset covers 204 countries and includes the estimated number and percentage of people who are diagnosed with mental disorders, broken down by demographic segments.

The columns included are:

Metric:

Percent: percent of the population diagnosed

Number: number of people diagnosed

Location: Global By country

Age: All ages Children: 0-9 years old Teens: 10-19 years old Adults: 20-54 years old Elders: 55+ years old

Sex: Both sexes Male Female

Methodology

We chose to target audiences with a higher mental health prevalence. While there is the issue of underdiagnosis for mental health disorders, we reasoned that the statistical estimation model created for the study may try to account for it. We used spreadsheets for this analysis.

Insights on Prevalence

To understand the general prevalence of mental disorders across different demographics, we analyzed both prevalence metrics by age and sex. The total number of people worldwide estimated to have a mental disorder is 970 million, or 13% of the global population.

Adults (20-54 years old) are the most affected by mental disorders in terms of both number and percent prevalence. They make up the majority of people with mental disorders worldwide. They also have the highest percentage of people diagnosed, but only slightly more than teens (10-19 years old) and elders (55+ years old).

Across ages, females are slightly more likely than males to have a mental health diagnosis: 13.53% for females compared to 12.54% for males. However, when we break this down by age group, we see that the percentage is substantially higher when we look at adults and elders: 15.3-15.8% for females compared to 12.7%-13.7% for males. For children and teens, we see the opposite: the percentage of males is ~2% higher than females. The prevalence among children is generally much lower than among adults.

Budget Allocation

In order to optimize the budget while reducing the number of ads to be created, we performed a Pareto Analysis based on the number of people diagnosed with a mental disorder in each combined country/age/sex segment. The chart below shows the top combined segments, but there are ~1,200 in total.

In order to account for 80% of the estimated total number of people diagnosed with a mental disorder, we only need to target 165 of these segments (13%). The budget allocation file has the structure shown below, with the name of the combined segment, estimated number of people diagnosed with a mental disorder, and the % of budget that should be allocated to that segment as a result.

2. Donor Presentation: to engage potential donors to contribute to Mental Health, highlighting the costs and benefits of investing in it.

3. Tableau Dashboard and Infographic: interactive Tableau dashboard and infographic displaying prevalence health disorder's demographic data (country, sex, age group) per number of cases and worldwide percentages.

See the Appendix below for links to all the files.

Appendix

Full report: https://docs.google.com/document/d/1z0l6wxyLDqWzGGvdcNu22ufeAobnLI_qtqlS4Aq-6qw/edit?usp=sharing

Insights Prevalence spreadsheet file: https://docs.google.com/spreadsheets/d/18oceWZn0FIVGa871BmKQ85MM1SuZtvWpoajELffUiXY/edit?usp=sharing

Budget allocation spreadsheet file: https://docs.google.com/spreadsheets/d/1_-8tNlnjfDAwrt7RT9p7_AXpZxCe9VytiQeE9wg2zFY/edit?usp=sharing

Donor Presentation: https://docs.google.com/presentation/d/1LlUVYAKO-9j36WrV4U-WfIflaYveNPpBLsUp8L6VcfE/edit?usp=sharing

Tableau Dashboard: https://public.tableau.com/views/WorldMentalHealthDayAwarenessCampaign-DashboardforMentalHealthStatistics/Dashboard?:language=en-GB&:sid=&:display_count=n&:origin=viz_share_link

Tableau Infographic: https://public.tableau.com/views/WorldMentalHealthDayAwarenessCampaign-MentalHealthInfographic/TheCaseforMentalHealthInvestment?:language=en-GB&:sid=&:display_count=n&:origin=viz_share_link

Global Burden of Disease results tool: https://vizhub.healthdata.org/gbd-results/

About

This project aims to illustrate the budget allocation for a global awareness campaign for World Mental Health Day. To bring awareness of mental health to the audiences that could benefit the most, we have chosen to optimise our budget based on data on the prevalence of mental health disorders.

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