Datastam Drug Safety & Patient Outcomes Analysis Report (May 2021 – July 2026)

By abhishek.verma75000 · June 4, 2026

This report presents a comprehensive analysis of 63 months of adverse drug event data, examining reporting trends, drug-specific risks, chronic condition…

Two interactive charts have been generated showing how side effect report volumes and severity have trended monthly from May 2021 through July 2026. The first chart displays overall monthly report volume over time, while the second breaks down reports by severity level each month.

The analysis identified the drugs with the highest combined rates of severe side effects and hospitalization. Lisinopril and Atorvastatin are tied at the top with a combined risk score of 9.56%, followed closely by Amoxicillin (9.37%), Paracetamol (9.35%), and Ibuprofen (9.32%). Two charts were generated: a grouped bar chart comparing severe side effect vs. hospitalization rates for the top 10 drugs, and a scatter plot showing how all drugs compare across both dimensions.

The analysis reveals which chronic conditions are most associated with higher hospitalization and severe side effect rates. Hypertension stands out as the top concern, showing both the highest hospitalization rate (10.91%) and the highest severe side effect rate (8.24%) among all chronic conditions. The correlation between hospitalization rates and severe side effect rates across conditions is 0.20, suggesting a mild positive relationship. Two charts were generated: a grouped bar chart comparing hospitalization and severe side effect rates side by side for each condition, and a scatter plot showing how these two metrics relate across conditions, with bubble sizes representing patient counts.

Two charts and supporting tables were generated to show how age groups and genders compare on recovery days and worse outcome rates. Interestingly, the 18-30 age group shows the longest average recovery time (23.64 days overall), with 18-30 Males averaging 23.66 days — the highest of any group. Males overall have a slightly longer average recovery (23.59 days) compared to females. For worse outcomes, the rates across groups appear very low, with 18-30 Females showing 0.0% worse outcomes.

The analysis reveals how smoking and alcohol use interact to affect recovery time and side effect severity. Two charts and multiple data tables were generated to visualize these relationships. The combination of smoking (Yes) with frequent alcohol use leads to the longest average recovery at 23.6 days, while non-smokers with frequent alcohol use have the shortest recovery at 23.4 days — suggesting smoking plays a more significant role than alcohol use alone in prolonging recovery.

Three visualizations were generated to explore how dosage relates to severity, hospitalization, and recovery across drugs. The analysis reveals that dosage has virtually no linear relationship with recovery days (correlation: -0.005), suggesting dosage alone doesn't predict how long recovery takes. The charts break down average dosage by drug and severity level, recovery days by dosage range and hospitalization status, and hospitalization rates across dosage ranges.

The analysis successfully identified the most frequently reported side effects across all drugs in the dataset. Two visualizations were created: a horizontal bar chart showing the top 10 most reported side effects ranked by frequency, and a stacked bar chart breaking down the severity distribution (Mild, Moderate, Severe) for the top 5 side effects. Data tables were also generated to support the findings.

A data table was generated summarizing hospitalization rates across all countries in the dataset. The table ranks each country by its hospitalization rate and includes total reports, percentage of patients hospitalized, average recovery days for hospitalized versus non-hospitalized patients, and the most common side effect leading to hospitalization.

The analysis covers 63 months of drug adverse event reports from May 2021 to July 2026. A dual-axis line chart has been generated showing monthly report volume (blue line) alongside the proportion of Severe cases (red line) over time. Report volumes peaked in January 2024 with 1,758 reports, while the highest severity rate occurred in October 2024 at 9.4% of reports classified as Severe. On average, about 8.1% of monthly reports involved Severe cases. Data tables with the monthly aggregations are also available for deeper review.

The analysis compared average recovery days across drugs with at least 100 reports each, ranking the top 15 by mean recovery time. A grouped bar chart was generated showing mean (blue) vs. median (orange) recovery days side by side for each of the top 15 drugs, making it easy to spot skewed distributions. The dataset's overall hospitalization rate was 0.00%, and drugs exceeding this threshold are flagged. Supporting data tables are also available with full statistics including standard deviation and report counts for each drug.