Calculate Case Mix Weight Home Health

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Home Health Case Mix Weight (CMG) Calculator

Accurately determine your Home Health Case Mix Group weight and understand its impact on reimbursement.

Case Mix Weight Calculator

Hospital Skilled Nursing Facility (SNF) Home Other Facility
Source from which the patient is admitted to home health services.
Score reflecting the patient's ability to perform daily activities (e.g., ADLs, IADLs). Higher scores indicate greater dependency.
Score reflecting the patient's medical condition and complexity of care needs. Higher scores indicate greater severity.
}
High Medium Low
Level of therapy and nursing services required.
Total number of physical, occupational, or speech therapy visits provided.
Total number of skilled nursing visits provided.

Your Case Mix Weight (CMG)

Admission Source Adjustment: —
Functional Status Adjustment: —
Clinical Severity Adjustment: —
Service Intensity Adjustment: —
Therapy Visit Adjustment: —
Nursing Visit Adjustment: —

Formula Used: CMG Weight = Base Weight + Admission Adjustment + Functional Adjustment + Clinical Adjustment + Service Intensity Adjustment + Therapy Visit Adjustment + Nursing Visit Adjustment

Note: Actual CMG calculation involves complex algorithms and prospective payment systems (e.g., PDGM, HHGM). This calculator provides a simplified estimation based on key factors.

CMG Components Breakdown

Visual representation of how each factor contributes to the total Case Mix Weight (CMG).

Calculation Details

Factor Input Value Adjustment Value
Admission Source
Functional Status Score
Clinical Severity Score
Service Intensity
Therapy Visits
Nursing Visits
Total Case Mix Weight (CMG)
Detailed breakdown of input values and their corresponding adjustment values used in the CMG calculation.

What is Home Health Case Mix Weight (CMG)?

{primary_keyword} is a numerical value assigned to a home health patient that represents the complexity and resource intensity of their care needs. In the context of the Medicare Prospective Payment System (PPS) for home health, Case Mix Groups (CMGs) are used to categorize patients. Each CMG has an associated weight, which directly influences the reimbursement rate a home health agency receives. Essentially, patients with higher case mix weights require more resources and thus generate higher reimbursement. Understanding and accurately calculating these weights is crucial for agencies to manage their finances effectively and ensure they are adequately compensated for the care they provide. The system aims to provide fair reimbursement based on the actual needs of the patient, moving away from a purely fee-for-service model.

Who Should Use It:

  • Home health agency administrators and financial managers
  • Billing and coding specialists in home health
  • Clinicians involved in patient assessment and care planning
  • Healthcare consultants specializing in home health services
  • Researchers analyzing home health care costs and outcomes

Common Misconceptions:

  • Misconception: CMG weight is solely based on diagnosis.
    Reality: While diagnosis is a factor, CMG is determined by a comprehensive assessment of functional status, clinical severity, service needs, and admission source.
  • Misconception: All patients in the same CMG receive the exact same care.
    Reality: The CMG is a reimbursement category; individualized care plans are developed based on specific patient needs, regardless of their CMG.
  • Misconception: The calculation is simple and static.
    Reality: The calculation involves sophisticated models and can change with regulatory updates. This calculator provides an approximation.

Home Health Case Mix Weight (CMG) Formula and Mathematical Explanation

The calculation of a home health Case Mix Weight (CMG) is complex and governed by specific payment systems, most notably the Patient-Driven Groupings Model (PDGM) under Medicare. While the exact algorithms are proprietary and subject to change, the core principle involves assessing various patient characteristics to determine resource intensity. This calculator simplifies the concept by using a summation approach that incorporates key factors contributing to the overall CMG weight.

The simplified formula implemented here is:

CMG Weight = Base Weight + Admission Adjustment + Functional Status Adjustment + Clinical Severity Adjustment + Service Intensity Adjustment + Therapy Visit Adjustment + Nursing Visit Adjustment

Let's break down the components:

Variables Used in CMG Calculation
Variable Meaning Unit Typical Range/Values
Base Weight An initial weight assigned before other adjustments. Represents a foundational cost of providing home health care. Weight Units Varies based on payment model (e.g., PDGM has different base weights for different referral sources and clinical groups). This calculator uses a conceptual base.
Admission Source Where the patient came from before starting home health services (e.g., hospital, SNF, home). Different sources often correlate with differing acuity and resource needs. Adjustment Factor (e.g., 0 to 1) 0.05 to 0.30 (illustrative)
Functional Status Score A score derived from assessing a patient's ability to perform Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs). Higher scores mean greater impairment and need for assistance. Score (e.g., 0-50) 0 to 50+ (used directly or adjusted)
Clinical Severity Score A score reflecting the patient's medical conditions, comorbidities, and the complexity of their diagnoses. Higher scores indicate more severe or complex medical issues. Score (e.g., 0-30) 0 to 30+ (used directly or adjusted)
Service Intensity Reflects the intensity of skilled nursing and therapy services required. Often categorized (Low, Medium, High). Adjustment Factor (e.g., 0 to 1) 0.05 to 0.30 (illustrative)
Number of Therapy Visits The total count of physical, occupational, and speech therapy visits within a specific payment period. Higher visits usually indicate greater rehabilitation needs. Count (Integer) 0 to 30+
Number of Skilled Nursing Visits The total count of skilled nursing visits within a specific payment period. Higher counts may indicate complex care management needs. Count (Integer) 0 to 15+
CMG Weight The final calculated weight representing the patient's overall resource utilization category. Weight Unit Varies, typically between 0.5 and 3.0+

Explanation of Adjustments:

  • Admission Source Adjustment: Patients admitted from acute care hospitals or SNFs are often presumed to have higher acuity, thus receiving a positive adjustment.
  • Functional Status Adjustment: Higher functional impairment scores lead to a greater adjustment, reflecting the need for more assistance and care.
  • Clinical Severity Adjustment: Patients with more complex medical histories or severe conditions receive a higher adjustment.
  • Service Intensity Adjustment: Higher levels of required therapy and nursing care result in a larger adjustment.
  • Therapy & Nursing Visit Adjustments: The number of visits can influence reimbursement, particularly when exceeding certain thresholds or indicating intensive rehabilitation or complex care needs. These adjustments can be based on specific thresholds or continuums.

This simplified model aggregates these adjustments to estimate the final {primary_keyword}. It's important to note that actual Medicare reimbursement calculations under PDGM are more granular, involving specific clinical groups, timing of care, and varying payment rates.

Practical Examples (Real-World Use Cases)

Example 1: Post-Surgical Hip Replacement Patient

Patient Profile: Mrs. Smith, 78, recently underwent a hip replacement surgery and is returning home. She requires assistance with mobility and transfers. She received services from an inpatient rehabilitation facility prior to discharge.

Inputs:

  • Admission Source: Skilled Nursing Facility (SNF) – Weight: 0.15
  • Functional Status Score: 25 (Moderate assistance needed for ADLs) – Adjustment: Calculated based on score (e.g., 0.40)
  • Clinical Severity Score: 10 (Post-operative recovery, manageable pain) – Adjustment: Calculated based on score (e.g., 0.20)
  • Service Intensity: Medium – Weight: 0.15
  • Number of Therapy Visits: 12 (PT & OT) – Adjustment: Calculated based on visit count (e.g., 0.25)
  • Number of Nursing Visits: 4 (Wound care, pain management) – Adjustment: Calculated based on visit count (e.g., 0.10)

Simplified Calculation:

Base Weight (Conceptual): 1.00

CMG Weight = 1.00 + 0.15 (Admission) + 0.40 (Functional) + 0.20 (Clinical) + 0.15 (Service) + 0.25 (Therapy) + 0.10 (Nursing) = 2.25

Financial Interpretation: Mrs. Smith's calculated CMG weight of 2.25 indicates a moderate-to-high resource utilization. This weight would translate into a specific reimbursement amount from Medicare, reflecting the costs associated with her intensive rehabilitation and skilled nursing care during the home health episode.

Example 2: Chronic Condition Management Patient

Patient Profile: Mr. Jones, 85, has advanced COPD and congestive heart failure. He has been managing these conditions at home but recently experienced an exacerbation requiring skilled nursing intervention. He requires ongoing monitoring and medication management.

Inputs:

  • Admission Source: Home (Previous episode ended) – Weight: 0.10
  • Functional Status Score: 40 (High dependency, needs standby assist for most ADLs) – Adjustment: Calculated based on score (e.g., 0.65)
  • Clinical Severity Score: 25 (Multiple complex chronic conditions) – Adjustment: Calculated based on score (e.g., 0.45)
  • Service Intensity: High – Weight: 0.30
  • Number of Therapy Visits: 4 (Minimal OT for safety) – Adjustment: Calculated based on visit count (e.g., 0.05)
  • Number of Nursing Visits: 10 (Frequent monitoring, complex care coordination) – Adjustment: Calculated based on visit count (e.g., 0.20)

Simplified Calculation:

Base Weight (Conceptual): 1.00

CMG Weight = 1.00 + 0.10 (Admission) + 0.65 (Functional) + 0.45 (Clinical) + 0.30 (Service) + 0.05 (Therapy) + 0.20 (Nursing) = 2.75

Financial Interpretation: Mr. Jones' higher CMG weight of 2.75 suggests a very high resource utilization category. This is driven primarily by his complex clinical profile and significant functional dependency, indicating the need for intensive skilled nursing oversight and coordination, which justifies a higher reimbursement rate.

How to Use This Home Health Case Mix Weight (CMG) Calculator

  1. Gather Patient Data: Collect accurate information regarding the patient's admission source, functional status assessment (e.g., ADL/IADL scores), clinical severity assessment, required service intensity, and the number of therapy and nursing visits during the relevant period.
  2. Input Data: Enter the values into the corresponding fields on the calculator. Select the appropriate option from the dropdown menus for Admission Source and Service Intensity. Input numerical scores for Functional Status and Clinical Severity, and the exact number of visits.
  3. Calculate: Click the "Calculate CMG" button. The calculator will process the inputs based on the simplified formula.
  4. Review Results: The primary result will display the estimated Case Mix Weight (CMG). Below this, you will see the individual adjustments for each factor. The table and chart will provide a visual and detailed breakdown of the calculation.
  5. Interpret: Understand that a higher CMG weight signifies a more resource-intensive patient, which typically corresponds to higher reimbursement. Use this information to validate your agency's billing and coding accuracy.
  6. Decision Making: While this calculator is for estimation, understanding the drivers of CMG can help agencies identify opportunities for improved documentation, patient assessment, and care coordination to ensure accurate case-mix classification and optimize revenue. You can also use the "Copy Results" button to easily share or record the findings.

How to Read Results: The main number is your estimated CMG weight. Higher numbers mean more complex patients. The intermediate values show how each factor (admission source, functional status, etc.) contributes to that final weight. A larger adjustment value for a factor means it has a significant impact on the patient's overall resource utilization category.

Key Factors That Affect Home Health Case Mix Weight (CMG) Results

  1. Accuracy of Patient Assessments: The foundation of CMG calculation lies in the quality and accuracy of the initial and ongoing patient assessments. Inconsistent or incomplete assessments regarding functional abilities, clinical status, or service needs can lead to incorrect CMG assignments and miscalculated weights. This directly impacts reimbursement.
  2. Severity of Functional Impairment: Patients requiring substantial assistance with Activities of Daily Living (ADLs) like bathing, dressing, or toileting, or Instrumental Activities of Daily Living (IADLs) like managing medications or preparing meals, will have higher functional status scores. These scores directly increase the CMG weight, reflecting greater care needs.
  3. Complexity of Clinical Conditions: Patients with multiple chronic illnesses, acute conditions, or complex treatment plans generally receive higher clinical severity scores. This complexity necessitates more skilled nursing interventions, specialized care coordination, and potentially more frequent monitoring, all contributing to a higher CMG weight and associated reimbursement.
  4. Admission Source Documentation: The source from which a patient is admitted to home health (e.g., acute care hospital, SNF, directly from home) can significantly impact the initial CMG assignment. Medicare often assumes higher acuity for patients transitioning from inpatient settings, potentially leading to adjustments that increase the CMG weight.
  5. Therapy and Nursing Visit Volume: While PDGM shifted focus away from visit volume, the number and type of skilled therapy (PT, OT, ST) and nursing visits still play a role, especially in certain clinical groups or for specific care needs. High volumes might indicate intensive rehabilitation or complex care management, influencing the overall case mix.
  6. Care Coordination and Communication: Effective communication between disciplines (nursing, therapy) and with physicians is vital. Miscommunication can lead to gaps in care or redundant services, indirectly affecting the perceived intensity and complexity of care documented, which could influence the CMG. Ensuring all skilled interventions are properly documented is key.
  7. Regulatory Changes: Medicare periodically updates its payment systems and calculation methodologies for home health. Changes in how CMGs are defined, weighted, or calculated can significantly alter reimbursement rates for agencies, even for patients with identical clinical profiles year-over-year. Staying abreast of these changes is critical.
  8. Documentation Practices: The thoroughness and accuracy of clinical documentation are paramount. All skilled services, patient progress, and justifications for care must be meticulously recorded. Poor documentation can lead to down-coded CMGs or claim denials, irrespective of the patient's actual needs.

Frequently Asked Questions (FAQ)

What is the primary difference between CMG and PDGM?
PDGM (Patient-Driven Groupings Model) is the current Medicare payment system for home health. It uses patient characteristics, including functional status, clinical condition, and service needs, to place patients into Case-Mix Groups (CMGs). The CMG then has an associated weight used to calculate reimbursement. So, PDGM is the system, and CMG is a component within that system used for reimbursement adjustment.
How often is the Case Mix Weight updated?
Under the PDGM system, the Case Mix Weight is generally fixed for an entire 30-day payment period, based on the assessments completed during that period. It can change if the patient's condition significantly changes and warrants a new assessment or if they enter a new episode of care.
Are there different CMG systems for different payers?
While Medicare's PDGM is the most widely known system, other payers (like Medicaid or private insurance) may have their own case-mix adjustment methodologies or may not use case-mix at all. It's essential to verify the specific requirements for each payer.
Can a patient have zero functional or clinical score?
In practice, it's highly unlikely for a patient receiving home health services to have a completely zero score in both functional status and clinical severity. Home health is typically prescribed for skilled needs, implying some level of impairment or condition requiring professional intervention.
How does the number of therapy visits specifically impact the CMG weight in PDGM?
Unlike previous systems (like RUG-IV), PDGM does not rely heavily on the *total number* of therapy visits. Instead, therapy discipline enrollment (PT, OT, ST) and the specific clinical group assigned are key. However, the *intensity* of services might indirectly influence the functional and clinical scores, which *do* affect the CMG.
What is the typical range for a Home Health CMG weight?
The range can vary significantly based on the specific PDGM clinical group and other factors. However, CMG weights generally fall within a spectrum, with lower weights for less complex cases and higher weights (potentially above 2.0 or even 3.0) for highly complex, resource-intensive patients. This calculator provides an estimate within a plausible range.
How can agencies improve their CMG accuracy?
Agencies can improve accuracy through robust clinician training on assessment tools (like OASIS), strict adherence to documentation guidelines, regular internal audits of assessments and documentation, and staying updated on Medicare regulations and PDGM specifics.
Does this calculator predict the exact Medicare reimbursement amount?
No, this calculator provides an estimated Case Mix Weight (CMG). The actual reimbursement amount depends on many other factors, including the national standardized payment rate, geographic wage index adjustments, rural add-ons, and specific payer policies.

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This calculator provides an estimation for educational purposes. Consult with a qualified professional for financial and regulatory advice.

var chartInstance = null; // Global variable to hold the chart instance function calculateCMG() { // Get input values var admissionSource = parseFloat(document.getElementById("admissionSource").value); var functionalStatus = parseFloat(document.getElementById("functionalStatus").value); var clinicalSeverity = parseFloat(document.getElementById("clinicalSeverity").value); var serviceIntensity = parseFloat(document.getElementById("serviceIntensity").value); var numTherapyVisits = parseFloat(document.getElementById("numTherapyVisits").value); var numNursingVisits = parseFloat(document.getElementById("numNursingVisits").value); // Input validation var isValid = true; if (isNaN(functionalStatus) || functionalStatus < 0) { document.getElementById("functionalStatusError").innerText = "Please enter a valid number greater than or equal to 0."; document.getElementById("functionalStatusError").classList.add("visible"); isValid = false; } else { document.getElementById("functionalStatusError").innerText = ""; document.getElementById("functionalStatusError").classList.remove("visible"); } if (isNaN(clinicalSeverity) || clinicalSeverity < 0) { document.getElementById("clinicalSeverityError").innerText = "Please enter a valid number greater than or equal to 0."; document.getElementById("clinicalSeverityError").classList.add("visible"); isValid = false; } else { document.getElementById("clinicalSeverityError").innerText = ""; document.getElementById("clinicalSeverityError").classList.remove("visible"); } if (isNaN(numTherapyVisits) || numTherapyVisits < 0) { document.getElementById("numTherapyVisitsError").innerText = "Please enter a valid number greater than or equal to 0."; document.getElementById("numTherapyVisitsError").classList.add("visible"); isValid = false; } else { document.getElementById("numTherapyVisitsError").innerText = ""; document.getElementById("numTherapyVisitsError").classList.remove("visible"); } if (isNaN(numNursingVisits) || numNursingVisits 15) therapyAdjustment = 0.15; else if (numTherapyVisits > 8) therapyAdjustment = 0.10; else if (numTherapyVisits > 4) therapyAdjustment = 0.05; var nursingAdjustment = 0; if (numNursingVisits > 10) nursingAdjustment = 0.12; else if (numNursingVisits > 5) nursingAdjustment = 0.08; else if (numNursingVisits > 2) nursingAdjustment = 0.04; // Calculate total CMG Weight var totalCMG = baseWeightConceptual + admissionAdjustment + functionalAdjustment + clinicalAdjustment + serviceAdjustment + therapyAdjustment + nursingAdjustment; // Cap at a reasonable max for display purposes, if needed // totalCMG = Math.min(totalCMG, 3.0); // Example cap // Display results document.getElementById("primary-result").innerText = totalCMG.toFixed(2); document.getElementById("admissionAdjustment").innerText = "Admission Source Adjustment: " + admissionAdjustment.toFixed(2); document.getElementById("functionalAdjustment").innerText = "Functional Status Adjustment: " + functionalAdjustment.toFixed(2); document.getElementById("clinicalAdjustment").innerText = "Clinical Severity Adjustment: " + clinicalAdjustment.toFixed(2); document.getElementById("serviceAdjustment").innerText = "Service Intensity Adjustment: " + serviceAdjustment.toFixed(2); document.getElementById("therapyAdjustment").innerText = "Therapy Visit Adjustment: " + therapyAdjustment.toFixed(2); document.getElementById("nursingAdjustment").innerText = "Nursing Visit Adjustment: " + nursingAdjustment.toFixed(2); // Update table and chart updateTableAndChart( document.getElementById("admissionSource").options[document.getElementById("admissionSource").selectedIndex].text, functionalStatus.toFixed(1), clinicalSeverity.toFixed(1), document.getElementById("serviceIntensity").options[document.getElementById("serviceIntensity").selectedIndex].text, numTherapyVisits.toFixed(0), numNursingVisits.toFixed(0), totalCMG.toFixed(2), admissionAdjustment.toFixed(2), functionalAdjustment.toFixed(2), clinicalAdjustment.toFixed(2), serviceAdjustment.toFixed(2), therapyAdjustment.toFixed(2), nursingAdjustment.toFixed(2) ); } function updateTableAndChart(admissionSourceText, functionalStatusInput, clinicalSeverityInput, serviceIntensityText, numTherapyVisitsInput, numNursingVisitsInput, totalCMG, admissionAdj, functionalAdj, clinicalAdj, serviceAdj, therapyAdj, nursingAdj) { document.getElementById("tableAdmissionSourceInput").innerText = admissionSourceText; document.getElementById("tableFunctionalStatusInput").innerText = functionalStatusInput; document.getElementById("tableClinicalSeverityInput").innerText = clinicalSeverityInput; document.getElementById("tableServiceIntensityInput").innerText = serviceIntensityText; document.getElementById("tableNumTherapyVisitsInput").innerText = numTherapyVisitsInput; document.getElementById("tableNumNursingVisitsInput").innerText = numNursingVisitsInput; document.getElementById("tableAdmissionSourceAdj").innerText = admissionAdj; document.getElementById("tableFunctionalStatusAdj").innerText = functionalAdj; document.getElementById("tableClinicalSeverityAdj").innerText = clinicalAdj; document.getElementById("tableServiceIntensityAdj").innerText = serviceAdj; document.getElementById("tableNumTherapyVisitsAdj").innerText = therapyAdj; document.getElementById("tableNumNursingVisitsAdj").innerText = nursingAdj; document.getElementById("tableTotalCMG").innerText = totalCMG; // Chart Data var labels = ['Admission Source', 'Functional Status', 'Clinical Severity', 'Service Intensity', 'Therapy Visits', 'Nursing Visits']; var dataValues = [ parseFloat(admissionAdj), parseFloat(functionalAdj), parseFloat(clinicalAdj), parseFloat(serviceAdj), parseFloat(therapyAdj), parseFloat(nursingAdj) ]; var totalDataValue = dataValues.reduce(function(sum, value) { return sum + value; }, 0); var baseWeightValue = 1.0; // Conceptual base weight var ctx = document.getElementById('cmgChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'bar', data: { labels: labels, datasets: [ { label: 'Adjustment Value', data: dataValues, backgroundColor: [ 'rgba(54, 162, 235, 0.6)', // Admission 'rgba(255, 99, 132, 0.6)', // Functional 'rgba(75, 192, 192, 0.6)', // Clinical 'rgba(255, 159, 64, 0.6)', // Service 'rgba(153, 102, 255, 0.6)', // Therapy 'rgba(255, 206, 86, 0.6)' // Nursing ], borderColor: [ 'rgba(54, 162, 235, 1)', 'rgba(255, 99, 132, 1)', 'rgba(75, 192, 192, 1)', 'rgba(255, 159, 64, 1)', 'rgba(153, 102, 255, 1)', 'rgba(255, 206, 86, 1)' ], borderWidth: 1 }, { label: 'Conceptual Base Weight', data: [baseWeightValue, baseWeightValue, baseWeightValue, baseWeightValue, baseWeightValue, baseWeightValue], // Repeat base for each category for visual reference backgroundColor: 'rgba(201, 203, 207, 0.2)', // Light grey for base borderColor: 'rgba(201, 203, 207, 1)', borderWidth: 1, type: 'line', // Use line to distinguish fill: false, tension: 0 } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Adjustment Value' } }, x: { title: { display: true, text: 'Factor' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Contribution to Case Mix Weight (CMG)' } } } }); } function resetCalculator() { document.getElementById("admissionSource").value = "0.25"; // Hospital document.getElementById("functionalStatus").value = "5"; document.getElementById("clinicalSeverity").value = "3"; document.getElementById("serviceIntensity").value = "0.30"; // High document.getElementById("numTherapyVisits").value = "10"; document.getElementById("numNursingVisits").value = "6"; // Clear error messages var errorMessages = document.getElementsByClassName("error-message"); for (var i = 0; i < errorMessages.length; i++) { errorMessages[i].innerText = ""; errorMessages[i].classList.remove("visible"); } calculateCMG(); // Recalculate with default values } function copyResults() { var primaryResult = document.getElementById("primary-result").innerText; var admissionAdj = document.getElementById("admissionAdjustment").innerText; var functionalAdj = document.getElementById("functionalAdjustment").innerText; var clinicalAdj = document.getElementById("clinicalAdjustment").innerText; var serviceAdj = document.getElementById("serviceAdjustment").innerText; var therapyAdj = document.getElementById("therapyAdjustment").innerText; var nursingAdj = document.getElementById("nursingAdjustment").innerText; var assumptions = "Key Assumptions:\n"; assumptions += "- Admission Source: " + document.getElementById("admissionSource").options[document.getElementById("admissionSource").selectedIndex].text + "\n"; assumptions += "- Functional Status Score: " + document.getElementById("functionalStatus").value + "\n"; assumptions += "- Clinical Severity Score: " + document.getElementById("clinicalSeverity").value + "\n"; assumptions += "- Service Intensity: " + document.getElementById("serviceIntensity").options[document.getElementById("serviceIntensity").selectedIndex].text + "\n"; assumptions += "- Therapy Visits: " + document.getElementById("numTherapyVisits").value + "\n"; assumptions += "- Nursing Visits: " + document.getElementById("numNursingVisits").value + "\n"; var resultsText = "— Home Health Case Mix Weight (CMG) Results —\n\n"; resultsText += "Estimated CMG Weight: " + primaryResult + "\n\n"; resultsText += "Breakdown:\n"; resultsText += admissionAdj + "\n"; resultsText += functionalAdj + "\n"; resultsText += clinicalAdj + "\n"; resultsText += serviceAdj + "\n"; resultsText += therapyAdj + "\n"; resultsText += nursingAdj + "\n\n"; resultsText += assumptions; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; // Avoid scrolling to bottom of page textArea.style.opacity = "0"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copying failed!'; // Optional: Display a temporary confirmation message console.log(msg); } catch (err) { console.log('Oops, unable to copy'); } document.body.removeChild(textArea); } // Initial calculation on page load document.addEventListener("DOMContentLoaded", function() { calculateCMG(); // Add event listeners for live updates var inputs = document.querySelectorAll('.loan-calc-container input, .loan-calc-container select'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculateCMG); inputs[i].addEventListener('change', calculateCMG); // For select elements } // FAQ functionality var faqQuestions = document.querySelectorAll('.faq-question'); for (var i = 0; i < faqQuestions.length; i++) { faqQuestions[i].addEventListener('click', function() { var faqItem = this.closest('.faq-item'); faqItem.classList.toggle('open'); }); } }); // Load Chart.js library dynamically if not present function loadChartJs() { if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { console.log('Chart.js loaded'); // Recalculate after chart.js is loaded to initialize chart calculateCMG(); }; script.onerror = function() { console.error('Failed to load Chart.js'); // Optionally, display a message to the user document.getElementById('chart-section').innerHTML = 'Error loading charting library. Please try again later.'; }; document.head.appendChild(script); } else { // Chart.js is already loaded, proceed with calculation calculateCMG(); } } // Call loadChartJs when the DOM is ready document.addEventListener('DOMContentLoaded', loadChartJs);

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