Chapter 4: Choose My Pharmacy® Measure Specifications
- Assessment of Renal Function in Older Adults
- Assessment of Weights in Pediatrics
- Known Allergy Status
- Medication Indication
- Electronic Care Plan Accessibility
- Point of Care Testing Structure
- Employee Vaccination Rate
- Advanced Pharmacy Technicians
- Improving Pain Management Safety
- Improving Diabetes Safety
- Identifying Social Determinants of Health
Assessment of Renal Function in Older Adults
Title |
Assessment of Renal Function in Older Adults |
Description |
Percent of patients aged 65 years and older with a serum creatine on file at the pharmacy during the measurement year
A higher score is better |
Rationale |
Older adults have diminished renal function and many medications need to be adjusted based on renal excretion. This measure assesses whether the pharmacy has collected the laboratory information required to assess renal function. |
Logic Model |
This measure ensures the pharmacy has the salient information (serum creatine) to ensure patient specific dosing. |
Level of Analysis |
Pharmacy (Patient) |
Data Source |
Pharmacy Data |
Denominator Statement |
All patients aged 65 years or older that received a medication during the measurement year. |
Denominator Calculation |
1. 1. All individuals in the pharmacy 2. 2. All individuals aged 65 or older at the beginning of the measurement year 3. 3. Must have received a medication during the measurement year 4. 4. Remove an individual with exclusion criteria |
Denominator Exclusions |
Any patient only receiving an immunization at the pharmacy Any non-human patients (e.g., cats, dogs, clinics, office-use, etc) |
Denominator Exclusion Rationale |
Many pharmacies may host immunization clinics and only interact with a patient during these visits. As immunizations do not need to be renally adjusted, assessment of renal function is not a required (valid) assessment.
Pharmacies may provide care to pets or other veterinarian needs, or for office-use. This patient profiles should be excluded from the measure calculation. |
Numerator Statement |
Individuals from the denominator with a serum creatine drawn during the measurement year |
Numerator Calculation |
1. 1. Identify number of individuals with serum creatine recorded 2. 2. Identify number of individuals with serum creatine updated during the measurement year |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as a percent of patients within a single pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
The value set Seguridad - CMP Immunizations will be used to support the exclusion criteria. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this concept include measures focused on appropriate dosing based on renal function and assessment of all patients. |
Harmonization1 |
Payors: N/A Providers: N/A |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Assessment of Weights in Pediatrics
Title |
Assessment of Weights in Pediatrics |
Description |
Percent of pediatric patients (17 years and less) with an updated weight during the measurement year
A higher score is better |
Rationale |
Most pediatric prescriptions are weight-based and the pharmacy should be checking the dose prior to dispensing. |
Logic Model |
This measure ensures the pharmacy has the salient information (weight) to ensure patient specific dosing. |
Level of Analysis |
Pharmacy (Patient) |
Data Source |
Pharmacy Data |
Denominator Statement |
All patients 17 years and less that received a medication at the pharmacy during the measurement year |
Denominator Calculation |
1. 1. All patients in the pharmacy 2. 2. All patients age 17 or less during the measurement year 3. 3. Apply exclusion criteria |
Denominator Exclusions |
Any patient only receiving an immunization at the pharmacy Any non-human patients (e.g., cats, dogs, clinics, office-use, etc) |
Denominator Exclusion Rationale |
Many pharmacies may host immunization clinics and only interact with a patient during these visits. As immunizations do not need to be weight-based, assessment of weight is not a required (valid) assessment.
Pharmacies may provide care to pets or other veterinarian needs, or for office-use. This patient profiles should be excluded from the measure calculation. |
Numerator Statement |
Individuals from the denominator with a weight (pounds) during the measurement year |
Numerator Calculation |
1. Identify number of individuals with a weight recorded in the pharmacy record. |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as percent of patients within a single pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
The value set Seguridad - CMP Immunizations will be used to support the exclusion criteria. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this concept include measures focused on appropriate dosing based on weight and assessment of all patients. |
Harmonization1 |
Payors: N/A Providers: N/A |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Known Allergy Status
Title |
Known Allergy Status |
Description |
Percent of patient records with documented allergy status, including ‘no known drug allergies’.
A higher rate is better. |
Rationale |
Community pharmacies are the last step prior to a patient receiving a medication and last chance to verify drug allergies. |
Logic Model |
This measure ensures the pharmacy has the salient information (allergy history) to ensure patient specific dosing. |
Level of Analysis |
Pharmacy (Patient) |
Data Source |
Pharmacy Data |
Denominator Statement |
All individuals dispensed a prescription from the pharmacy during a measurement year |
Denominator Calculation |
1. 1. Identify all prescriptions in a measurement year 2. 2. Identify all unique patients from the prescriptions 3. 3. Apply exclusions |
Denominator Exclusions |
Any non-human patients (e.g., cats, dogs, clinics, office-use, etc) |
Denominator Exclusion Rationale |
Pharmacies may provide care to pets or other veterinarian needs, or for office-use. This patient profiles should be excluded from the measure calculation. |
Numerator Statement |
Individuals from the denominator with documented allergy status on record |
Numerator Calculation |
1. Number of individuals from the denominator with documented allergy |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as percent of patients within a single pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
No value set is required for the calculation of this measure. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this concept include measures focused on updating the allergy status on an annual basis. |
Harmonization1 |
Payors: N/A Providers: N/A |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Medication Indication
Title |
Medication Indication |
Description |
Percent of electronic prescriptions with prescriber-reported indication based on International Classification of Disease – 10
This is a reporting measure only |
Rationale |
Pharmacies ensure the right patient gets the right drug at the right time for the right reason. This measure will help to evaluate the right reason.
Caveats: This measure is not for performance evaluation. Pharmacists may not diagnosis patients (by entering patient-reported diagnosis in the pharmacy system). This measure will evolve over time to ensure every prescription has an indication and said indication is correct. |
Logic Model |
This measure is establishing the need pharmacies have for an indication on every prescription. Currently, regulatory barriers exist that prevents the measure from being ‘Every Medication Has an Indication’ however, this measure is headed in that direction. |
Level of Analysis |
Pharmacy (Prescription) |
Data Source |
Pharmacy Data |
Denominator Statement |
All prescriptions electronically submitted to the pharmacy during a measurement year |
Denominator Calculation |
1. 1. Identify all prescriptions in a pharmacy 2. 2. Identify all new prescriptions denoted as refill number 0 3. 3. Identify all new prescriptions with source field (NCPDP = electronic) 4. 4. Apply exclusion criteria |
Denominator Exclusions |
Any electronic prescription that was canceled by the prescriber. Any non-human patients (e.g., cats, dogs, clinics, office-use, etc) |
Denominator Exclusion Rationale |
Canceled prescriptions were never filled and confirmed to not be valid prescriptions Pharmacies may provide care to pets or other veterinarian needs, or for office-use. This patient profiles should be excluded from the measure calculation. |
Numerator Statement |
Percent of electronic prescriptions with prescriber reported ICD-10 |
Numerator Calculation |
1. Number of prescriptions with supplied ICD-10 |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
No value set is required for the calculation of this measure. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this concept include measures focused ensuring all prescriptions have an indication and that the indication and medication are appropriate. |
Harmonization1 |
Payors: N/A Providers: This measure is similar to the CMS SNF measure ensuring all medications have an indication. |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Electronic Care Plan Accessibility
Title |
Electronic Care Plan Accessibility |
Description |
Possession of e-care plan with appropriate training
A higher score is better |
Rationale |
Clinical documentation is required to validate actions occurred and provide patient care notes from one provider to another. |
Logic Model |
This measure ensures clinical documentation of patient encounters at the pharmacy. If it isn’t document, it didn’t happen. The E-Care Plan Accessibility measure creates the structure for future process, outcome, and patient-reported measures. |
Level of Analysis |
Pharmacy (Nominal and Structure) |
Data Source |
Survey |
Denominator Statement |
This measure is a structure-based measure evaluate a nominal endpoint. The denominator is the pharmacy. |
Denominator Calculation |
1. The pharmacy |
Denominator Exclusions |
No exclusions |
Denominator Exclusion Rationale |
N/A |
Numerator Statement |
Accessibility of e-care plan by all members of the pharmacy |
Numerator Calculation |
Nominal endpoint determined by survey results |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
No value set is required for the calculation of this measure. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this concept include evaluating the outcomes from E-Care Plan submissions, type of data within E-Care Plans, and other aspects of safety/quality. |
Harmonization1 |
Payors: N/A Providers: N/A |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Point of Care Testing Structure
Title |
Point of Care Testing Structure |
Description |
Possess of a CLIA-waiver in the pharmacy.
A higher score is better |
Rationale |
Point-of-care testing (POCT) requires a CLIA-waiver. Pharmacies that offer point-of-care testing may be able to optimize care through patient monitoring (blood glucose, HbA1c, HIV, influenza, COVID-19, pharmacogenomics, lipids, and others). |
Logic Model |
This measure evaluates the pharmacy’s readiness to provide advance services and address gaps in care, healthcare accessibility, and monitoring. |
Level of Analysis |
Pharmacy (Nominal and Structure) |
Data Source |
Survey |
Denominator Statement |
This measure is a structure-based measure evaluate a nominal endpoint. The denominator is the pharmacy. |
Denominator Calculation |
1. The pharmacy |
Denominator Exclusions |
No exclusions |
Denominator Exclusion Rationale |
N/A |
Numerator Statement |
Possession of a CLIA-waiver at the pharmacy |
Numerator Calculation |
Nominal endpoint determined by survey results |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
No value set is required for the calculation of this measure. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this concept include evaluating the outcomes from CLIA-waived tests, the types of tests, patient-reported outcomes, and other aspects of the quality and safety of POCT. |
Harmonization1 |
Payors: Some payors are evaluated on collection of clinical data, like hemoglobin A1c. This measure will help pharmacies align with those measures. Providers: N/A |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Employee Vaccination Rate
Title |
Employee Vaccination Rate |
Description |
Percent of employees in a pharmacy that are vaccinated for influenza and COVID-19.
A higher rate is better. |
Rationale |
Similar to health systems, pharmacies are frontline workers during pandemics. Ensuring pharmacies are not hot spots of disease will help prevent pandemics. |
Logic Model |
This measure evaluates the pharmacy’s role in public health and mitigated infectious diseases. As healthcare providers, pharmacy teams should be immunized as soon as possible to protect themselves, their families, and the public. |
Level of Analysis |
Pharmacy (Employee) |
Data Source |
Survey |
Denominator Statement |
Number of employees (full or part time) at the pharmacy during a measurement year |
Denominator Calculation |
1. 1. Number of part-time employees 2. 2. Number of full-time employees |
Denominator Exclusions |
Exclude any employee <18 years old; any employee that works ≤6 months. |
Denominator Exclusion Rationale |
Minors may need parental permission. All employees are encouraged to receive immunizations. Data show that to reach herd immunity (often defined as 70% immunized), individuals 17 years old and younger will need to be vaccinated. However, most pharmacies will not have ≥30% of staff ≤17 years old. Employees working ≤6 months may not be employed during the annual influenza immunization period. |
Numerator Statement |
Number of employees vaccinated with influenza and COVID-19 immunizations |
Numerator Calculation |
1. Count the number of individuals that have received the COVID-19 and influenza vaccines
|
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
No value set is required for the calculation of this measure. |
Future Iterations |
If other pandemics or required vaccines are authorized/approved, this measure would be updated. |
Harmonization1 |
Payors: N/A Providers: This measure is similar to the CMS Hospital Compare Employee Vaccination rate measure. |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Advanced Pharmacy Technicians
Title |
Advanced Pharmacy Technicians |
Description |
Percent of pharmacy technicians with advance training |
Rationale |
Pharmacy technicians are able to expand scope of practice through certifications and credentials. The elevated pharmacy technician provides higher quality care and allows the pharmacy staff to focus on non-dispensing clinical activities. |
Logic Model |
This measure evaluates the training and credentialing of a pharmacy technician. When pharmacy technicians are able to advance scope of practice, like product verification, pharmacists are able to advance their role towards medication optimization. |
Level of Analysis |
Pharmacy (Employee) |
Data Source |
Survey |
Denominator Statement |
Number of pharmacy technicians (full or part time) at the pharmacy during a measurement year |
Denominator Calculation |
1. 1. Number of part-time pharmacy technicians 2. 2. Number of full-time pharmacy technicians |
Denominator Exclusions |
Exclude any employee ≤17 years old, less than 6 months employment, or ≤1 year as a pharmacy technician |
Denominator Exclusion Rationale |
Minors may need parental permission, other technicians may not be eligible for technician exam |
Numerator Statement |
Number of pharmacy technicians with advance credentials and training |
Numerator Calculation |
• Count the number of individuals that have advanced training. |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
No value set is required for the calculation of this measure. |
Future Iterations |
As additional training programs and certificates are authorized for pharmacy technicians, the numerator will be updated. |
Harmonization1 |
Payors: N/A Providers: N/A |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Improving Pain Management Safety
Title |
Improving Pain Management Safety |
Description |
Percent of households where at least one individual is at risk for adverse opioid event, like overdose or respiratory depression, with naloxone available.
A higher score is better |
Rationale |
Many individuals are at increased risk for adverse events associated with opioid use. Additionally, many states have implemented standing protocols for naloxone dispensing without prescription to patients or caregivers of patients at risk for adverse opioid events. This measure ensures, at a household level, naloxone is available to any patient. |
Logic Model |
This measure ensures any household at risk for adverse opioid events is evaluated and provided treatment. |
Level of Analysis |
Pharmacy (Patient) |
Data Source |
Pharmacy Data |
Denominator Statement |
Any household with a patient at risk for adverse opioid event defined as patients prescribed opioids and any of the following:
|
Denominator Calculation |
1. 1. All individuals in the pharmacy 2. 2. All individuals prescribed an opioid 3. 3. All individuals with risk factor (≥50 MME or benzodiazepine) 4. 4. Exclude non-human patients 5. 5. Identify each unique household |
Denominator Exclusions |
Any non-human patients (e.g., cats, dogs, clinics, office-use, etc) |
Denominator Exclusion Rationale |
Pharmacies may provide care to pets or other veterinarian needs, or for office-use. This patient profiles should be excluded from the measure calculation. |
Numerator Statement |
Household from the denominator with a naloxone dispensed during the measurement year |
Numerator Calculation |
1. 1. Identify all naloxone prescriptions dispensed from the pharmacy 2. 2. Identify each household with a naloxone prescription 3. 3. Households that have a match in the denominator are in the numerator. |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as a percent of patients within a single pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
The value set Seguridad – Opioids and Seguridad – Opioid Risk Medications will be used to support the exclusion criteria. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this concept include measures focused on appropriate dosing based on renal function and assessment of all patients. |
Harmonization1 |
Payors: PQA’s Opioid Measure Set Providers: PQA’s Opioid Measure Set |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Improving Diabetes Safety
Title |
Improving Diabetes Safety |
Description |
Percent of patients at risk for glycemia receiving bolus insulin receive glucagon.
A higher score is better |
Rationale |
Many patients with diabetes are at risk for hypoglycemia, which can cause hospitalizations or death. Individuals using insulin, particularly meal-time, or bolus, are at increased risk for hypoglycemia. |
Logic Model |
This measure ensures patients at increased risk for hypoglycemia have appropriate treatment available. |
Level of Analysis |
Pharmacy (Patient) |
Data Source |
Pharmacy Data |
Denominator Statement |
Patient at risk for hypoglycemia due to bolus insulin use. |
Denominator Calculation |
1. 1. All individuals in the pharmacy 2. 2. All individuals prescribed a bolus insulin 3. 3. Exclude non-human patients. |
Denominator Exclusions |
Any non-human patients (e.g., cats, dogs, clinics, office-use, etc) |
Denominator Exclusion Rationale |
Pharmacies may provide care to pets or other veterinarian needs, or for office-use. This patient profiles should be excluded from the measure calculation. |
Numerator Statement |
Patients from the denominator with glucagon. |
Numerator Calculation |
1. Identify individuals from the denominator with a prescription for glucagon |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as a percent of patients within a single pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
The value set Seguridad – Basal Insulin will be used to support the exclusion criteria. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this concept include measures will include other high-risk diabetes medications. |
Harmonization1 |
Payors: N/A Providers: N/A |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.
Identifying Social Determinants of Health
Title |
Identifying Social Determinants of Health |
Description |
Percent of patients in the pharmacy that have documented SDOH data elements.
A higher score is better |
Rationale |
Pharmacies are often identifying and resolving social determinant of health barriers for patients. However, documentation is vital to showing progress on care. This measure evaluates if a pharmacy is collecting SDOH identifiers at the pharmacy. Once patients are identified, pharmacies will be able to make interventions and bill for these services. |
Logic Model |
This measure ensures pharmacies are documenting and collecting the data required for SDOH clinical services. |
Level of Analysis |
Pharmacy (Patient) |
Data Source |
Pharmacy Data |
Denominator Statement |
All patients within a pharmacy |
Denominator Calculation |
1. 1. Identify all prescriptions in a measurement year 2. 2. Identify all unique patients from the prescriptions 3. 3. Apply exclusions |
Denominator Exclusions |
Any non-human patients (e.g., cats, dogs, clinics, office-use, etc) |
Denominator Exclusion Rationale |
Pharmacies may provide care to pets or other veterinarian needs, or for office-use. This patient profiles should be excluded from the measure calculation. |
Numerator Statement |
Patients from the denominator with documented SDOH data elements, including: Insurance Status, Education level, Race, Ethnicity, Zip Code |
Numerator Calculation |
1. Identify individuals from the denominator with a documented SDOH data element (composite) |
Seguridad Measure Specification Process |
|
Data Stratification |
The measure rate will be reported as a percent of patients within a single pharmacy.
If available and feasible, measure rate will be reported by type of pharmacy (e.g., health-system, community, specialty, mail-order, long-term care).
If available and feasible, measure rate will be reported by line of business (pharmacy Medicare rate, pharmacy Medicaid rate, pharmacy Commercial rate, and pharmacy uninsured rate).
Risk adjustment will be applied when available. |
Value Sets |
No value set is required for this measure. |
Future Iterations |
Many pharmacy measures are designed as structure or process. Future goals of this measure will be to track additional SDOH data elements, like housing or food insecurity, for eventual Z-code billing and interventions. |
Harmonization1 |
Payors: N/A Providers: N/A |
1. Measures that have either the same target populations (denominator) or the same measure focus (numerators) may be considered related, whereas measures that have the same targeted population (denominator) and same measure focus (numerator), are considered competing measures. Measures being developed should be harmonized, where feasible, to previously established measures to decrease measure burden. Choose My Pharmacy measures are developed for pharmacy evaluation, which is a novel area for measurement science, no current measure evaluates this level of analysis. Choose My Pharmacy measures will be harmonized to the extent possible, recognizing different levels of analysis have different data elements, and instead the focus will be to vertically integrate the Choose My Pharmacy measures with other measurement systems and measures.