Calculating Disability Weights

Disability Weights Calculator: Understand Impairment Severity body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 25px; background-color: #fff; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 74, 153, 0.1); display: flex; flex-direction: column; } header { background-color: #004a99; color: #fff; padding: 20px; text-align: center; border-radius: 8px 8px 0 0; margin: -25px -25px 20px -25px; } header h1 { margin: 0; font-size: 2em; } main { display: flex; flex-direction: column; gap: 30px; } section { padding: 20px; border: 1px solid #e0e0e0; border-radius: 8px; background-color: #fdfdfd; } h2, h3 { color: #004a99; margin-bottom: 15px; } .input-group { margin-bottom: 20px; display: flex; flex-direction: column; gap: 5px; } .input-group label { font-weight: bold; color: #004a99; } .input-group input[type="number"], .input-group select { padding: 10px; border: 1px solid #ccc; border-radius: 5px; font-size: 1em; width: calc(100% – 22px); /* Account for padding and border */ } .input-group .helper-text { font-size: 0.9em; color: #666; margin-top: 5px; } .input-group .error-message { color: #d9534f; font-size: 0.9em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { display: flex; gap: 10px; margin-top: 20px; justify-content: center; flex-wrap: wrap; } button { padding: 12px 25px; border: none; border-radius: 5px; font-size: 1em; cursor: pointer; font-weight: bold; transition: background-color 0.3s ease; } .btn-primary { background-color: #004a99; color: #fff; } .btn-primary:hover { background-color: #003366; } .btn-secondary { background-color: #6c757d; color: #fff; } .btn-secondary:hover { background-color: #5a6268; } .btn-success { background-color: #28a745; color: #fff; } .btn-success:hover { background-color: #218838; } #results { background-color: #e7f3ff; padding: 20px; border-radius: 5px; text-align: center; margin-top: 20px; border: 1px dashed #004a99; } #results h3 { margin-top: 0; color: #004a99; font-size: 1.6em; } .primary-result { font-size: 2.5em; font-weight: bold; color: #004a99; margin: 10px 0; padding: 15px; background-color: #ffffff; border-radius: 5px; border: 1px solid #004a99; } .intermediate-results { display: flex; flex-wrap: wrap; justify-content: center; gap: 20px; margin-top: 15px; } .intermediate-value { text-align: center; padding: 10px 15px; background-color: #fff; border-radius: 5px; border: 1px solid #ddd; } .intermediate-value p { margin: 5px 0; font-size: 0.9em; color: #555; } .intermediate-value span { font-size: 1.8em; font-weight: bold; color: #004a99; } .formula-explanation { font-size: 0.95em; color: #444; margin-top: 20px; padding: 10px; background-color: #f0f8ff; border-left: 4px solid #004a99; } table { width: 100%; border-collapse: collapse; margin-top: 20px; } th, td { padding: 12px; text-align: left; border: 1px solid #ddd; } th { background-color: #004a99; color: #fff; font-weight: bold; } tr:nth-child(even) { background-color: #f2f2f2; } caption { caption-side: bottom; font-size: 0.9em; color: #555; margin-top: 10px; font-style: italic; } canvas { display: block; margin: 20px auto; max-width: 100%; border: 1px solid #ccc; background-color: #fff; border-radius: 5px; } .article-content { margin-top: 30px; padding: 20px; background-color: #fff; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 74, 153, 0.05); } .article-content h2 { border-bottom: 2px solid #004a99; padding-bottom: 5px; margin-bottom: 20px; } .article-content h3 { color: #0056b3; margin-top: 25px; margin-bottom: 10px; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 15px; } .article-content li { margin-bottom: 8px; } .article-content strong { color: #004a99; } .article-content a { color: #004a99; text-decoration: none; font-weight: bold; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; padding: 10px; background-color: #f0f8ff; border-left: 3px solid #004a99; border-radius: 3px; } .faq-item strong { color: #004a99; display: block; margin-bottom: 5px; } .results-summary { font-size: 0.95em; color: #555; margin-top: 15px; text-align: left; padding: 10px; background-color: #f9f9f9; border-left: 3px solid #ccc; } @media (min-width: 768px) { .container { margin-top: 40px; margin-bottom: 40px; } .input-group input[type="number"], .input-group select { width: calc(50% – 22px); /* For better alignment if needed, but stick to single column */ } .button-group { justify-content: flex-start; } }

Disability Weights Calculator

Assess the severity of health conditions and their impact.

Disability Weights Calculator

Enter a value between 0 (no disability) and 1 (complete disability).
Estimate how many years the disability is expected to last.
Enter the estimated fraction of the population experiencing this condition.

Your Disability Impact Assessment

Weighted Impact

DALYs (Disability-Adjusted Life Years)

Average Severity

Formula Used:

The primary metric, Disability Weight (DW), is a value between 0 and 1 representing the severity of a health condition. This calculator focuses on inputting a severity level and then calculating the broader impact metrics like Weighted Impact (DW * Duration * Population), DALYs (a standardized measure of burden), and Average Severity. The calculation assumes a direct proportionality between the input severity level and the derived metrics, scaled by duration and population affected.

Key Assumptions:
Severity Level:
Duration (Years):
Population Affected:

Disability Impact Visualization

Comparison of Weighted Impact and DALYs across different Severity Levels

Disability Impact Metrics Table

Severity Level Weighted Impact DALYs (Estimated) Duration (Years) Population Affected
Summary of calculated metrics for illustrative purposes

What is Disability Weight?

{primary_keyword} is a crucial concept in public health and epidemiology, representing the severity of a specific health condition or disability on a scale of 0 to 1. A weight of 0 signifies a state of perfect health with no disability, while a weight of 1 denotes a state of complete disability, equivalent to death. Disability weights are used to quantify the non-fatal burden of diseases and injuries, allowing for comparisons across different health conditions and populations. They are fundamental in calculating metrics like Disability-Adjusted Life Years (DALYs), a key indicator of population health used globally by organizations such as the World Health Organization (WHO).

Who Should Use Disability Weights?

Understanding and utilizing {primary_keyword} is vital for several groups:

  • Public Health Researchers: To measure the burden of disease, identify health priorities, and evaluate interventions.
  • Epidemiologists: To quantify the impact of specific diseases and conditions on populations.
  • Health Economists: To assess the economic consequences of ill-health and disability.
  • Policy Makers: To inform resource allocation, healthcare planning, and social welfare programs.
  • Healthcare Professionals: To better understand the comprehensive impact of conditions on patient quality of life.
  • Individuals: To gain a clearer perspective on the severity of certain health conditions and their potential long-term effects.

Common Misconceptions about Disability Weights

  • Misconception 1: Disability weight is a personal diagnosis. Reality: Disability weights are population-level averages derived from expert opinion and epidemiological studies, not individual medical assessments.
  • Misconception 2: A weight of 0.5 means someone is half-dead. Reality: The scale is about lost health or years lived with disability, not mortality. A weight of 0.5 signifies a significant but not total loss of health.
  • Misconception 3: Weights are static. Reality: Disability weights can be updated as new research emerges on the impact and management of health conditions.

Disability Weight Formula and Mathematical Explanation

The concept of {primary_keyword} is foundational for epidemiological burden estimation. While the direct calculation of a specific disability weight for a novel condition is complex and relies on detailed research, the application of these weights in broader health metrics is more straightforward.

Core Concept: Quantifying Non-Fatal Health Loss

A disability weight ($DW$) for a health state ($i$) is a value between 0 and 1:

$$ DW_i $$

Where:

  • $DW_i = 0$: Perfect health.
  • $DW_i = 1$: Equivalent to death.
  • $0 < DW_i < 1$: Represents a partial loss of health due to a non-fatal condition.

Application in DALYs (Disability-Adjusted Life Years)

The most common application of disability weights is in the calculation of DALYs, which combines years of life lost due to premature mortality (YLLs) and years lived with disability (YLDs).

$$ DALYs = YLLs + YLDs $$

The YLD component is calculated as:

$$ YLDs = \sum_{i} (DW_i \times L_i) $$

Where:

  • $DW_i$ is the disability weight for health state $i$.
  • $L_i$ is the number of years lived in health state $i$.

In our calculator, we simplify this by using the provided Severity Level as a direct input for $DW$, and then extending it to consider Duration and Population Affected to estimate a broader Weighted Impact and DALYs.

Simplified Calculation in this Calculator:

Average Severity (DW): This directly uses your input for 'Severity Level'.

Weighted Impact: This metric attempts to scale the severity by the number of people affected and the duration. A basic representation is:

$$ \text{Weighted Impact} = \text{Severity Level} \times \text{Duration (Years)} \times \text{Population Affected} $$

Estimated DALYs: For simplicity, we often use the Weighted Impact as a proxy or a related measure of burden, assuming a standard population base or time frame in broader studies.

Variables Table

Variable Meaning Unit Typical Range
Disability Weight ($DW$) Severity of a health condition on a scale of 0 to 1. Unitless 0 (Perfect Health) to 1 (Death)
Severity Level (Input) User-defined input representing the estimated $DW$. Unitless 0 to 1
Duration (Years) Estimated length of time the condition persists. Years ≥ 0
Population Affected Proportion of a population experiencing the condition. Unitless (Proportion) 0 to 1
Weighted Impact Severity scaled by duration and population. Product of units (e.g., Years) ≥ 0
DALYs Disability-Adjusted Life Years; a measure of overall disease burden. Years ≥ 0

Practical Examples (Real-World Use Cases)

Example 1: Moderate Depression in a Young Adult

A study suggests that moderate depressive episodes have a disability weight ($DW$) of approximately 0.45. A 20-year-old individual experiences such an episode that lasts for 6 months (0.5 years). We estimate that 15% of individuals in their age group experience a similar episode annually.

  • Input:
    • Severity Level: 0.45
    • Duration of Disability: 0.5 Years
    • Proportion of Population Affected: 0.15
  • Calculation:
    • Average Severity: 0.45
    • Weighted Impact: 0.45 * 0.5 * 0.15 = 0.03375
    • Estimated DALYs: (Often approximated by Weighted Impact in simpler models or further calculated based on age-specific life expectancies) For illustrative purpose, let's consider this value itself represents burden scaled by population and duration.
  • Interpretation: Even though depression might not be fatal, its moderate severity (0.45) and the proportion of the population affected mean it contributes significantly to the overall non-fatal health burden. The weighted impact of 0.03375 (for this specific duration and population segment) highlights this burden. This information can guide resource allocation for mental health services.

Example 2: Severe Osteoarthritis in Elderly Population

Severe osteoarthritis is known to have a significant impact, often assigned a disability weight ($DW$) of around 0.6. A 70-year-old individual suffers from this condition, which is expected to persist for the remainder of their life (estimated 15 years). Assume 10% of the elderly population experiences severe osteoarthritis.

  • Input:
    • Severity Level: 0.6
    • Duration of Disability: 15 Years
    • Proportion of Population Affected: 0.10
  • Calculation:
    • Average Severity: 0.6
    • Weighted Impact: 0.6 * 15 * 0.10 = 9
    • Estimated DALYs: This higher weighted impact suggests a substantial number of DALYs, especially when considering the population size and long duration.
  • Interpretation: The high disability weight (0.6) combined with a long duration (15 years) and significant population impact (10%) results in a substantial weighted impact score of 9. This underscores the major public health challenge posed by severe osteoarthritis in the elderly, justifying investment in prevention, management, and treatment strategies.

How to Use This Disability Weights Calculator

Our Disability Weights Calculator is designed to be intuitive. Follow these simple steps to assess the potential impact of various health conditions:

Step 1: Determine the Severity Level

Identify the approximate Disability Weight (DW) for the health condition you are assessing. This value typically ranges from 0 (perfect health) to 1 (equivalent to death). You can find established disability weights from sources like the Global Burden of Disease (GBD) studies or other reputable public health research. Enter this value (e.g., 0.55 for moderate hearing loss) into the "Severity Level" field.

Step 2: Estimate the Duration

Input the estimated Duration of Disability in years. For chronic conditions, this might be many years or a lifetime. For acute conditions, it could be weeks or months (convert to decimal years, e.g., 6 months = 0.5 years).

Step 3: Assess Population Impact

Enter the Proportion of the Population Affected. This is the estimated fraction of a specific population group (e.g., adults aged 50+, a specific city's residents) that experiences this condition. Use a value between 0 and 1 (e.g., 0.05 for 5% of the population).

Step 4: Calculate

Click the "Calculate" button. The calculator will instantly provide:

  • Primary Result: The direct Disability Weight (Severity Level) you input.
  • Weighted Impact: A scaled measure combining severity, duration, and population.
  • Estimated DALYs: An indicator of the overall health burden.
  • Average Severity: Reiterates the input Severity Level.

Step 5: Interpret the Results

The Weighted Impact and Estimated DALYs give you a quantitative sense of the burden associated with the condition within the specified parameters. Higher values indicate a greater public health concern. Use these figures to understand the relative impact of different conditions or to advocate for relevant health initiatives.

Step 6: Utilize Advanced Features

Reset: Click "Reset" to clear all fields and enter new values.
Copy Results: Click "Copy Results" to copy the main and intermediate values, along with the key assumptions, to your clipboard for use in reports or documents.

Key Factors That Affect Disability Weight Calculations

While the core disability weight for a condition is often based on established research, several factors can influence how these weights are applied and interpreted, and how the resulting impact metrics (like DALYs) are affected:

  1. Definition and Measurement of Severity: The precise definition of a health state (e.g., "mild," "moderate," "severe" depression) can vary. Different studies might use slightly different criteria, leading to variations in assigned disability weights. Clear, standardized diagnostic criteria are essential.
  2. Population Demographics: Disability weights are often population averages. The impact of a condition can differ significantly across age groups, genders, socioeconomic statuses, and geographical regions. For instance, a condition might have a higher prevalence or more severe impact in an elderly population compared to younger individuals.
  3. Data Sources and Methodology: Disability weights are typically derived from surveys, expert opinions (e.g., Delphi method), or health-related quality of life studies. The methodology used, the sample size, and the representativeness of the population studied all influence the reliability and applicability of the weights.
  4. Comorbidity: Individuals often suffer from multiple health conditions simultaneously (comorbidities). The presence of other conditions can exacerbate the overall disability and impact quality of life beyond the sum of individual disability weights. Calculating the combined effect can be complex.
  5. Cultural Context: Perceptions of disability and health can vary across cultures. What constitutes a significant limitation in one society might be viewed differently in another. This can subtly influence subjective assessments used in determining disability weights.
  6. Time Horizon and Discounting: When calculating DALYs over long periods, future health losses are often "discounted" to reflect their lower present value. The choice of discount rate significantly affects the total DALYs calculated, particularly for chronic conditions with long durations. Our calculator simplifies this by focusing on the direct impact over the specified duration.
  7. Specific Intervention Effectiveness: The effectiveness of treatments or support services can mitigate the impact of a disability. A disability weight might represent the burden of an untreated or partially treated condition. As treatments improve, the actual lived disability might decrease, though the established weight may not yet reflect this.

Frequently Asked Questions (FAQ)

Q1: What is the source of the disability weights used in public health?

A1: The most widely cited source is the Global Burden of Disease (GBD) study, coordinated by the Institute for Health Metrics and Evaluation (IHME). They periodically update disability weights based on extensive research involving community members and health experts worldwide.

Q2: Can disability weights be personalized?

A2: No, standard disability weights are population-level averages. Individual experiences can vary greatly. While our calculator uses a user-input severity level, it's based on generalized weight estimates.

Q3: How are disability weights determined?

A3: They are typically established through systematic processes involving surveys where participants rate the severity of various health conditions compared to perfect health and death. Expert panels also play a significant role.

Q4: What's the difference between YLDs and YLLs?

A4: YLDs (Years Lived with Disability) measure the burden of non-fatal conditions, calculated using disability weights. YLLs (Years of Life Lost) measure the burden of premature mortality, based on life expectancy.

Q5: Does a disability weight of 0.1 mean a condition is minor?

A5: A weight of 0.1 indicates a mild level of disability. While less severe than higher weights, it still represents a measurable loss of health. When aggregated across large populations or long durations, even mild conditions can contribute significantly to the overall disease burden.

Q6: How does the calculator handle uncertainty in duration or population?

A6: The calculator uses the exact numbers you input. For accurate results, it's best to use well-researched estimates for duration and population impact. You can rerun the calculation with different assumptions to see how sensitive the results are.

Q7: Are disability weights used for compensation purposes?

A7: While disability weights inform assessments of health burden, they are generally not directly used for individual financial compensation. Compensation is usually determined by specific legal frameworks, insurance policies, and individual assessments of functional impairment.

Q8: Can I use this calculator for specific diseases like diabetes or cancer?

A8: Yes, provided you can find reliable disability weight estimates for different severities of these conditions. For example, different stages or complications of cancer or diabetes might have distinct weights.

Related Tools and Internal Resources

// Function to validate input and display error messages function validateInput(id, min, max, allowDecimal) { var input = document.getElementById(id); var errorElement = document.getElementById(id + '_error'); var value = parseFloat(input.value); errorElement.style.display = 'none'; // Hide error by default if (isNaN(value)) { errorElement.textContent = 'Please enter a valid number.'; errorElement.style.display = 'block'; return false; } if (min !== null && value max) { errorElement.textContent = 'Value cannot be greater than ' + max + '.'; errorElement.style.display = 'block'; return false; } if (!allowDecimal && !Number.isInteger(value)) { errorElement.textContent = 'Please enter a whole number.'; errorElement.style.display = 'block'; return false; } return true; } // Main calculation function function calculateDisabilityWeights() { // Input validation var isValidSeverity = validateInput('severity_level', 0, 1, true); var isValidDuration = validateInput('duration_years', 0, null, true); var isValidPopulation = validateInput('population_impacted', 0, 1, true); if (!isValidSeverity || !isValidDuration || !isValidPopulation) { // Clear results if validation fails document.getElementById('primary_result').textContent = '–'; document.getElementById('weighted_impact').textContent = '–'; document.getElementById('daly_value').textContent = '–'; document.getElementById('average_severity').textContent = '–'; document.getElementById('summary_severity').textContent = '–'; document.getElementById('summary_duration').textContent = '–'; document.getElementById('summary_population').textContent = '–'; return; } var severityLevel = parseFloat(document.getElementById('severity_level').value); var durationYears = parseFloat(document.getElementById('duration_years').value); var populationImpacted = parseFloat(document.getElementById('population_impacted').value); // Calculations var weightedImpact = severityLevel * durationYears * populationImpacted; // For simplicity, we'll use weighted impact as a proxy for DALYs in this basic calculator. // A true DALY calculation would also involve mortality and age-weighting. var dalyValue = weightedImpact; // Simplified representation var averageSeverity = severityLevel; // Direct input // Display Results document.getElementById('primary_result').textContent = severityLevel.toFixed(2); document.getElementById('weighted_impact').textContent = weightedImpact.toFixed(4); document.getElementById('daly_value').textContent = dalyValue.toFixed(4); document.getElementById('average_severity').textContent = averageSeverity.toFixed(2); // Update summary text document.getElementById('summary_severity').textContent = severityLevel.toFixed(2); document.getElementById('summary_duration').textContent = durationYears.toFixed(1); document.getElementById('summary_population').textContent = populationImpacted.toFixed(2); // Update Chart Data updateChart(severityLevel, weightedImpact, dalyValue); // Update Table Data updateTable(severityLevel, weightedImpact, dalyValue, durationYears, populationImpacted); } // Function to reset calculator inputs function resetCalculator() { document.getElementById('severity_level').value = '0.5'; document.getElementById('duration_years').value = '5'; document.getElementById('population_impacted').value = '0.1'; // Clear errors var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].style.display = 'none'; } // Clear results document.getElementById('primary_result').textContent = '–'; document.getElementById('weighted_impact').textContent = '–'; document.getElementById('daly_value').textContent = '–'; document.getElementById('average_severity').textContent = '–'; document.getElementById('summary_severity').textContent = '–'; document.getElementById('summary_duration').textContent = '–'; document.getElementById('summary_population').textContent = '–'; // Clear chart and table (or reset to defaults) resetChart(); clearTableBody('disabilityTable'); } // Function to copy results function copyResults() { var primaryResult = document.getElementById('primary_result').textContent; var weightedImpact = document.getElementById('weighted_impact').textContent; var dalyValue = document.getElementById('daly_value').textContent; var averageSeverity = document.getElementById('average_severity').textContent; var summarySeverity = document.getElementById('summary_severity').textContent; var summaryDuration = document.getElementById('summary_duration').textContent; var summaryPopulation = document.getElementById('summary_population').textContent; if (primaryResult === '–') { alert("No results to copy yet. Please calculate first."); return; } var textToCopy = "Disability Impact Assessment Results:\n\n"; textToCopy += "Primary Result (Severity Level): " + primaryResult + "\n"; textToCopy += "Weighted Impact: " + weightedImpact + "\n"; textToCopy += "Estimated DALYs: " + dalyValue + "\n"; textToCopy += "Average Severity: " + averageSeverity + "\n\n"; textToCopy += "Key Assumptions:\n"; textToCopy += "Severity Level: " + summarySeverity + "\n"; textToCopy += "Duration (Years): " + summaryDuration + "\n"; textToCopy += "Population Affected: " + summaryPopulation + "\n"; navigator.clipboard.writeText(textToCopy).then(function() { alert("Results copied to clipboard!"); }).catch(function(err) { console.error('Failed to copy text: ', err); alert("Failed to copy results. Please copy manually."); }); } // Charting Logic var myChart; var ctx = document.getElementById('disabilityChart').getContext('2d'); function updateChart(severity, weightedImpact, dalyValue) { if (!myChart) { // Initialize chart if it doesn't exist myChart = new Chart(ctx, { type: 'bar', // Changed to bar for better comparison of two values data: { labels: ['Weighted Impact', 'Estimated DALYs'], datasets: [{ label: 'Impact Metrics', data: [weightedImpact, dalyValue], backgroundColor: [ 'rgba(0, 74, 153, 0.6)', // Primary color for Weighted Impact 'rgba(40, 167, 69, 0.6)' // Success color for Estimated DALYs ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Value' } } }, plugins: { title: { display: true, text: 'Impact Metrics vs. Severity Level (' + severity.toFixed(2) + ')' }, legend: { display: false // Hide legend as labels are clear } } } }); } else { // Update existing chart data myChart.data.datasets[0].data[0] = weightedImpact; myChart.data.datasets[0].data[1] = dalyValue; myChart.options.plugins.title.text = 'Impact Metrics vs. Severity Level (' + severity.toFixed(2) + ')'; myChart.update(); } } function resetChart() { if (myChart) { myChart.destroy(); myChart = null; ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Clear canvas } // Optionally re-initialize with default zero values or empty state myChart = new Chart(ctx, { type: 'bar', data: { labels: ['Weighted Impact', 'Estimated DALYs'], datasets: [{ label: 'Impact Metrics', data: [0, 0], backgroundColor: [ 'rgba(0, 74, 153, 0.6)', 'rgba(40, 167, 69, 0.6)' ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Value' } } }, plugins: { title: { display: true, text: 'Impact Metrics vs. Severity Level (Default)' }, legend: { display: false } } } }); } // Table Logic function clearTableBody(tableId) { var tableBody = document.querySelector('#' + tableId + ' tbody'); tableBody.innerHTML = ''; } function updateTable(severity, weightedImpact, dalyValue, durationYears, populationImpacted) { var tableBody = document.querySelector('#disabilityTable tbody'); var row = tableBody.insertRow(); var cell1 = row.insertCell(); cell1.textContent = severity.toFixed(2); var cell2 = row.insertCell(); cell2.textContent = weightedImpact.toFixed(4); var cell3 = row.insertCell(); cell3.textContent = dalyValue.toFixed(4); var cell4 = row.insertCell(); cell4.textContent = durationYears.toFixed(1); var cell5 = row.insertCell(); cell5.textContent = populationImpacted.toFixed(2); } // Initial calculation and chart setup on page load document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Set default values and clear results // Initial chart setup with default values before first calculation updateChart(0.5, 0.5 * 5 * 0.1, 0.5 * 5 * 0.1); // Use reset values for initial chart }); // Trigger calculation on input change for real-time updates var inputFields = document.querySelectorAll('#calculator-form input, #calculator-form select'); for (var i = 0; i < inputFields.length; i++) { inputFields[i].addEventListener('input', calculateDisabilityWeights); } // Also trigger on focus out for better user experience for (var i = 0; i < inputFields.length; i++) { inputFields[i].addEventListener('focusout', calculateDisabilityWeights); }

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