i = 0; drugClass = 'diabetes'; singleAgent1 = 'metformin'; singleAgent2 = 'glipizide'; combProd = 'metformin/glipizide'; drItems = [{ claims: [{ dateOfFill: "2018/01/01", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/01/01", dateOfLastDose: "2018/03/31" }, { dateOfFill: "2018/04/01", drug: singleAgent2, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/04/01", dateOfLastDose: "2018/06/29" }] }, { claims: [{ dateOfFill: "2018/01/01", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/01/01", dateOfLastDose: "2018/03/31" }, { dateOfFill: "2018/01/01", drug: singleAgent2, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/01/01", dateOfLastDose: "2018/03/31" }] }, { claims: [{ dateOfFill: "2018/03/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/03/25", dateOfLastDose: "2018/06/22" }, { dateOfFill: "2018/07/05", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/07/05", dateOfLastDose: "2018/10/02" }, { dateOfFill: "2018/09/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/10/03", dateOfLastDose: "2018/12/31" }] }, { claims: [{ dateOfFill: "2018/01/01", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/01/01", dateOfLastDose: "2018/03/31" }, { dateOfFill: "2018/03/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/04/01", dateOfLastDose: "2018/06/29" }, { dateOfFill: "2018/07/05", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/07/05", dateOfLastDose: "2018/10/02" }, { dateOfFill: "2018/10/15", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/10/15", dateOfLastDose: "2018/12/31" }] }, { claims: [{ dateOfFill: "2018/10/04", drug: singleAgent1, qty: 30, daysSupply: 30, dateOfFirstDose: "2018/10/04", dateOfLastDose: "2018/11/02" }, { dateOfFill: "2018/11/01", drug: singleAgent1, qty: 30, daysSupply: 30, dateOfFirstDose: "2018/11/03", dateOfLastDose: "2018/12/02" }, { dateOfFill: "2018/12/15", drug: singleAgent1, qty: 30, daysSupply: 30, dateOfFirstDose: "2018/12/15", dateOfLastDose: "2018/12/31" }] }, { claims: [{ dateOfFill: "2018/01/01", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/01/01", dateOfLastDose: "2018/03/31" }, { dateOfFill: "2018/03/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/04/01", dateOfLastDose: "2018/06/29" }, { dateOfFill: "2018/09/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/09/25", dateOfLastDose: "2018/12/31" }] }, { claims: [{ dateOfFill: "2018/01/01", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/01/01", dateOfLastDose: "2018/03/31" }, { dateOfFill: "2018/03/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/04/01", dateOfLastDose: "2018/06/29" }, { dateOfFill: "2018/07/05", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/07/05", dateOfLastDose: "2018/10/02" }, { dateOfFill: "2018/09/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/10/03", dateOfLastDose: "2018/12/31" }] }, { claims: [{ dateOfFill: "2018/01/01", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/01/01", dateOfLastDose: "2018/03/31" }, { dateOfFill: "2018/03/25", drug: singleAgent2, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/03/25", dateOfLastDose: "2018/06/22" }, { dateOfFill: "2018/07/05", drug: singleAgent2, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/07/05", dateOfLastDose: "2018/10/02" }, { dateOfFill: "2018/09/25", drug: singleAgent2, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/10/03", dateOfLastDose: "2018/12/31" }] }, { claims: [{ dateOfFill: "2018/01/01", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/01/01", dateOfLastDose: "2018/03/31" }, { dateOfFill: "2018/03/25", drug: combProd, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/04/01", dateOfLastDose: "2018/06/29" }, { dateOfFill: "2018/07/05", drug: combProd, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/07/05", dateOfLastDose: "2018/10/02" }, { dateOfFill: "2018/09/25", drug: combProd, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/10/03", dateOfLastDose: "2018/12/31" }] }, { claims: [{ dateOfFill: "2018/03/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/03/25", dateOfLastDose: "2018/06/22" }, { dateOfFill: "2018/06/27", drug: singleAgent2, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/06/27", dateOfLastDose: "2018/09/24" }, { dateOfFill: "2018/09/25", drug: singleAgent1, qty: 90, daysSupply: 90, dateOfFirstDose: "2018/9/25", dateOfLastDose: "2018/12/23" }] }] drItems.forEach(function (item) { item.active = 'calculation'; item.from = '2018/01/01'; item.thru = '2018/12/31'; item.id = 'pdc-dr-' + i++; item.calculation = helpers.pdc.calc(item.claims, item.from, item.thru); }); Vue.component('pdc-dr-overview', { template: '
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Proportion of Days Covered: Diabetes All Class (PDC-DR)

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Description

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The percentage of individuals 18 years and older who met the Proportion of Days Covered (PDC) threshold of 80 percent for any of the diabetes medications during the measurement year.

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A higher rate indicates better performance.

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Additional Information

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Intended Use

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Performance measurement for health plans.

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Data Sources

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Prescription claims data.

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Denominator

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Individuals 18 years and older who prescription claimed ≥2 prescription claims for any of the diabetes medications on different dates of service in the treatment period.

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Exclusions

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Hospice, end-stage renal disease (ESRD), and use of insulin.

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Numerator

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Individuals who met the PDC threshold of 80% during the measurement year.

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' }); Vue.component('pdc-dr-ref-1', { template: '' + 'Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in individuals with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998; 352(9131):837-53. PMID: 9742976.' + '1' + '' }); Vue.component('pdc-dr-ref-2', { template: '' + 'Lau DT, Nau DP. Oral antihyperglycemic medication nonadherence and subsequent hospitalization among individuals with type 2 diabetes. Diabetes Care. 2004; 27(9):2149-53. PMID: 15333476.' + '2' + '' }); Vue.component('pdc-dr-ref-3', { template: '' + 'Sokol MC, McGuigan KA, Verbrugge RR, Epstein RS. Impact of medication adherence on hospitalization risk and healthcare cost. Med Care. 2005; 43(6):521-30. PMID: 15908846.' + '3' + '' }); Vue.component('pdc-dr-ref-4', { template: '' + 'American Diabetes Association. Standards of Medical Care in Diabetes - 2018. Diabetes Care. 2018 [cited 2019 May 31]. 41(Supplement 1): S1-S159. Available from: https://doi.org/10.2337/dc18-Srev01.' + '4' + '' }); Vue.component('pdc-dr-ref-5', { template: '' + 'Roebuck MC, Liberman JN, Gemmill-Toyama M, et al. Medication adherence leads to lower health care use and costs despite increased drug spending. Health Aff (Millwood). 2011; 30(1):91-9. PMID: 21209444.' + '5' + '' }); Vue.component('pdc-dr-ref-6', { template: '' + 'Roebuck MC, Kaestner RJ, Dougherty JS. Impact of Medication Adherence on Health Services Utilization in Medicaid. Med Care. 2018; 56(3):266-273. PMID: 29309392.' + '6' + '' }); Vue.component('pdc-dr-ref-7', { template: '' + 'Boye KS, Curtis SE, Lage MJ, et al. Associations between adherence and outcomes among older, type 2 diabetes individuals: evidence from a Medicare Supplemental database. individual Prefer Adherence. 2016; 10:1573-81. PMID: 27574406.' + '7' + '' }); Vue.component('pdc-dr-ref-8', { template: '' + 'Medha NM, Hermes F, Elbert SH, et al. Management of Diabetes in Long-term Care and Skilled Nursing Facilities: A Position Statement of the American Diabetes Association. Diabetes Care Feb 2016, 39 (2) 308-318. PMID: 26798150.' + '8' + '' }); Vue.component('pdc-dr-ref-9', { template: '' + 'Sampanis Ch. Management of hyperglycemia in patients with diabetes mellitus and chronic renal failure. Hippokratia. 2008; 12(1):22-7. PMID: 18923754.' + '9' + '' }); Vue.component('pdc-dr-ref-10', { template: '' + 'Alsahli M, Gerich JE. Hypoglycemia in Patients with Diabetes and Renal Disease. J Clin Med;2015; 13;4(5):948-64. PMID: 26239457.' + '10' + '' }); Vue.component('pdc-dr-ref-11', { template: '' + 'Stolpe S, Kroes MA, Webb N, Wisniewski T. A Systematic Review of Insulin Adherence Measures in Patients with Diabetes. J Manag Care Spec Pharm. 2016; 22(11):1224-1246. PMID: 27783551.' + '11' + '' }); Vue.component('pdc-dr-ref-12', { template: '' + 'Andrade SE, Kahler KH, Frech F, et al. Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiology and drug safety. 2006; 15:565-74. PMID: 16514590.' + '12' + '' }); Vue.component('pdc-dr-ref-13', { template: '' + 'Wei L, Wang J, Thompson P, et al. Adherence to statin treatment and readmission of patients after myocardial infarction: a six year follow up study. Heart. 2002; 88:229-33. PMID: 12181210.' + '13' + '' }); Vue.component('pdc-dr-ref-14', { template: '' + 'Ho PM, Magid DJ, Masoudi FA, et al. Adherence to cardioprotective medications and mortality among patients with diabetes and ischemic heart disease. BMC Cardiovasc Disord. 2006; 6:48. PMID: 17173679.' + '14' + '' }); Vue.component('pdc-dr-ref-15', { template: '' + 'Choudhry NK, Glynn RJ, Avorn J, et al. Untangling the relationship between medication adherence and post-myocardial infarction outcomes: medication adherence and clinical outcomes. Am Heart J. 2014; 167:51-58.e5. PMID: 24332142.' + '15' + '' }); Vue.component('pdc-dr-ref-16', { template: '' + 'Korhonen MJ, Ruokoniemi P, Ilomäki J, et al. Adherence to statin therapy and the incidence of ischemic stroke in patients with diabetes. Pharmacoepidemiol Drug Saf. 2016;25:161-9. PMID: 26687512.' + '16' + '' }); Vue.component('pdc-dr-ref-17', { template: '' + 'Campbell P, Axon D, Mollon L, et al. A retrospective database analysis evaluating the association between Pharmacy Quality Alliance antidiabetic medication measure adherence, healthcare use, and expenditures among commercially insured patients. J Manag Care Spec Pharm. 2019; 25:3-a Suppl, S38. PMID: 30854912.' + '17' + '' }); Vue.component('pdc-dr-ref-18', { template: '' + 'Chinthammit C, Axon D, Anderson S, et al. A retrospective database analysis evaluating the association between Pharmacy Quality Alliance cholesterol medication adherence measure and economic outcomes for commercially insured patients. J Manag Care Spec Pharm. 2019; 25:3-a Suppl, I17. PMID: 30854912.' + '18' + '' }); Vue.component('pdc-dr-ref-19', { template: '' + 'Axon D, Chinthammit C, Taylor A, et al. A retrospective database analysis revaluating the relationship between Pharmacy Quality Alliance-defined adherence and healthcare costs and utilization for commercially insured patients on renin-angiotensin system antagonists. J Manag Care Spec Pharm. 2019;25:3-a Suppl, I1. PMID: 30854912.' + '19' + '' }); Vue.component('pdc-dr-ref-20', { template: '' + 'Lloyd JT, Maresh S, Powers CA, Shrank WH, Alley DE. How Much Does Medication Nonadherence Cost the Medicare Fee-for-Service Program? Med Care. 2019; 57:218-24. PMID: 30676355.' + '20' + '' }); Vue.component('pdc-dr-rationale', { template: '
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Rationale

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Diabetes mellitus is a chronic disease that has reached epidemic proportions in the U.S. and can lead to increased rates of heart disease, stroke and death. The UKPDS trial is the seminal research to link lowered A1c with health outcomes.' + '' + ' For those individuals who require chronic medication therapy, adherence to hypoglycemic agents can lower blood sugar, and decrease complications such as visual loss and renal failure.' + ',' + ' The 2018 American Diabetes Association Standards of Medical Care in Diabetes support strategies to improve medication adherence, and the guidelines state: "In general barriers to medication adherence (such as cost and side effects) should be identified and addressed."' + '' + ' Moreover, there are several studies showing improved clinical outcomes for individuals who are adherent to their medications.

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Roebuck and colleagues in 2011 showed an increase in medication adherence (defined as the 80% threshold) reduced total annual health care spending primarily through decreased inpatient hospital days and emergency department visits. Regarding individuals with diabetes, adherence decreased annual medical spending by $4,413 providing a benefit-cost ratio of 6.7:1.' + '' + ' Another article by Roebuck and colleagues in 2018 assessed medication adherence on health service utilization in a Medicaid population. In this research, adherence was measured at a PDC level of 80% as defined by the Pharmacy Quality Alliance.' + '' + '

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Finally, a 2016 article by Boye and colleagues examined the association between adherence and outcomes. The results showed at higher adherence levels, all-cause acute care and outpatient costs declined. The mean outpatient and acute-care costs were $17,298 and $13,373 with a PDC ≥80% compared to $28,086 and $32,340 with a PDC <20% (P<0.005). The results were progressive based on each PDC interval (<20%; ≥20%-40%; ≥40%-60%; ≥60%-80%; ≥80%). Additionally, diabetes-related costs showed the same general trend.' + '' + '

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Individuals in hospice care are excluded from the measure because adherence to most chronic therapies does not necessarily align with the therapeutic goals and balance of risk and benefits for individuals in hospice care. In 2015, the PQA Patient & Caregiver Advisory Panel recommended that hospice should generally be an exclusion for PQA measures unless the measures are directly relevant to, and align with, the therapeutic goals for individuals in hospice care. Furthermore, the American Diabetes Association in states that appropriate diabetes management for patients in hospice may include relaxing glycemic targets and simplifying regiments, with only periodic glucose monitoring to avoid symptomatic hyperglycemia.' + '' + '

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Individuals with ESRD are excluded from the measure because adherence to diabetes medications may not be accurately reflected in pharmacy claims data due to frequent dosage and medication adjustments. Individuals with diabetes and ESRD are at higher risk for hypoglycemia than the general population. Reasons for fluctuation in blood glucose can range from drug accumulation to more complex reasons like increased glucose utilization following the correction of anemia by erythropoietin.' + '' + ' Peritoneal dialysis patients may also have glucose-containing dialysate that influences glycemic control, with alternating hyperglycemia and hypoglycemia and resultant adjustments to diabetes medications.' + '' + ' Additionally, individuals with ESRD often have spontaneous hypoglycemia due to reduced renal gluconeogenesis or concurrent hepatic disease, but also experience fluctuations in insulin resistance due to the process of dialysis.' + '' + '

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Individuals on insulin are excluded from the measure because insulin requires titration and frequent dosage adjustments, which in turn can result in frequent dosage adjustments of other diabetes medications. Currently, there is not a standardized method to assess adherence to insulin using prescription claims data.' + '' + '

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This is a health plan performance measure that retrospectively evaluates the percentage of individuals 18 years and older who met the Proportion of Days Covered (PDC) threshold for diabetes medications during the measurement year using administrative data. This measure is not designed to be used for clinical decision making. It is intended for retrospective, population level assessment and is not intended to guide individual patient-care decisions.

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Last Update: 4 Oct 2019

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FAQs

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To qualify for the eligible population/denominator, individuals must have ≥2 prescription claims for a target medication on different dates of service. These prescription claims do not need to be for the same target medication (i.e. ' + singleAgent1 + ', ' + singleAgent2 + ') or class (i.e. biguanides, sulfonylureas) but do need to be on the target medication list.

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In this example, the individual has prescription claims for target medications on 2 different dates of service. Since the prescription claims do not need to be for the same target medication, this individual would qualify for the eligible population/denominator.

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' + '' + 'Days Covered: {{items[0].calculation.daysCovered}}
' + 'PDC: {{items[0].calculation.pdc}}
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In this example, the individual has prescription claims for 2 different target medications, but both are on the same date of service. Since the prescription claims need to be on different dates of service (even if for different medications), this individual would not qualify for the eligible population/denominator.

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The treatment period starts with the first prescription claim for any ' + drugClass + ' medication, referred to as the index prescription start date (IPSD), and ends with the last day of the measurement year, death, or disenrollment, whichever occurs first. The treatment period must be at least 91 days long for the individual to be included in the measure denominator.

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For this example, the individuals's first prescription claim for the measurement year, referred to as the index prescription start date (IPSD), is on 3/25. The treatment period for the individual is only 282 days since the treatment period starts with the IPSD.

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' + '' + 'Days Covered: {{items[2].calculation.daysCovered}}
' + 'PDC: {{items[2].calculation.pdc}}
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For this example, the individual's days' supply for the prescription claim on 10/15 extends beyond the end of the measurement year. The days' supply beyond the end of the measurement year does not count toward the days in the treatment period or the days covered.

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' + '' + 'Days Covered: {{items[3].calculation.daysCovered}}
' + 'PDC: {{items[3].calculation.pdc}}
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For this example, the individual's first prescription claim for the measurement year, referred to as the index prescription start date (IPSD), is on 10/4. The individual does not qualify for the denominator since the treatment period must be at least 91 days.

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Individuals with one or more prescription claims for insulin during the treatment period are excluded from the measure because insulin requires titration and frequent dosage adjustments, which in turn can result in frequent dosage adjustments of other diabetes medications. These frequent dosage adjustments may result in adherence not being accurately reflected in pharmacy claims. Currently, there is not a standardized method to assess adherence to insulin using prescription claims data.

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Individuals in hospice care are excluded from the measure because adherence to most chronic therapies does not necessarily align with the therapeutic goals and balance of risk and benefits for individuals in hospice care. Furthermore, the American Diabetes Association states that appropriate diabetes management for patients in hospice may include relaxing glycemic targets and simplifying regiments, with only periodic glucose monitoring to avoid symptomatic hyperglycemia.

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Individuals with ESRD are excluded from the measure because adherence to diabetes medications may not be accurately reflected in pharmacy claims data due to frequent dosage and medication adjustments. Individuals with diabetes and ESRD are at higher risk for hypoglycemia than the general population. Reasons for fluctuation in blood glucose can range from drug accumulation to more complex reasons like increased glucose utilization following the correction of anemia by erythropoietin. Peritoneal dialysis patients may also have glucose-containing dialysate that influences glycemic control, with alternating hyperglycemia and hypoglycemia and resultant adjustments to diabetes medications. Additionally, individuals with ESRD often have spontaneous hypoglycemia due to reduced renal gluconeogenesis or concurrent hepatic disease, but also experience fluctuations in insulin resistance due to the process of dialysis.

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The PDC calculation is appropriate for medication classes that are used on a routine basis and for which the days' supply can be accurately determined using prescription claims data. For these reasons, our PDC measures are limited to medication classes used for chronic conditions (e.g., diabetes, hypertension, hypercholesterolemia) requiring on-going treatment and taken on a scheduled basis where days' supply and refills can be used to estimate medication use.

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Individuals with a proportion of days covered (PDC) of 80% or greater qualify for the numerator.

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For this example, the individual is without medication from 6/30 through 9/24. With 365 days in the treatment period and only 278 days covered, the individual has a PDC of 76.16% which is less than the 80% threshold. Therefore, the individual should not be counted in the numerator.

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' + 'Denominator:
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' + '' + 'Days Covered: {{items[5].calculation.daysCovered}}
' + 'PDC: {{items[5].calculation.pdc}}
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Roebuck and colleagues in 2011 showed an increase in medication adherence (defined as the 80% threshold) reduced total annual health care spending primarily through decreased inpatient hospital days and emergency department visits. Regarding individuals with diabetes, adherence decreased annual medical spending by $4,413 providing a benefit-cost ratio of 6.7:1. Another article by Roebuck and colleagues in 2018 assessed medication adherence on health service utilization in a Medicaid population. In this research, adherence was defined as a PDC ≥80% as specified by the Pharmacy Quality Alliance, demonstrating 80% as an accepted threshold used in the literature.

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A 2016 article by Boye and colleagues examined the association between adherence and outcomes. The results showed at higher adherence levels, all-cause acute care and outpatient costs declined. The mean outpatient and acute-care costs were $17,298 and $13,373 with a PDC ≥80% compared to $28,086 and $32,340 with a PDC <20% (P<0.005). The results were progressive based on each PDC interval (<20%; ≥20%-40%; ≥40%-60%; ≥60%-80%; ≥80%). Additionally, diabetes-related costs showed the same general trend.

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Yes. To calculate the PDC as a percentage, divide the number of covered days by the number of days and multiply by 100. The PDC should then be rounded to the nearest hundredth (e.g. 79.996% is rounded to 80.00%, 79.992% is rounded to 79.99%) before comparing to the threshold of 80%.

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If multiple prescription claims for the same target medication (i.e. one or more products with the same generic ingredient) are dispensed on the same day or different days where the days' supply overlap, adjust the prescription claim start date to be the day after the days' supply for previous prescription claim has ended. This is based on the assumption that patients will finish medication from the existing fill before beginning to take medication from the new fill.

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For this example, the individual's prescription claim on 3/25 overlaps with the days' supply for the prescription claim on 1/1. Because the prescription claims on 1/1 and 3/25 involve the same target drug, the start date for the prescription claim on 3/25 is adjusted to be the day after the days' supply for the prescription claim on 1/1 has ended. The same would apply for the prescription claim on 9/25 that overlaps with the days' supply for the prescription claim on 7/5.

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' + '
' + '
' + '' + '' + 'Index Date: {{items[6].calculation.indexDate}}
' + 'Days in the Treatment Period: {{items[6].calculation.daysInMeasPeriod}}
' + 'Unique Dates of Service: {{items[6].calculation.uniqueDatesOfService}}
' + 'Denominator:
' + '
' + '' + 'Days Covered: {{items[6].calculation.daysCovered}}
' + 'PDC: {{items[6].calculation.pdc}}
' + 'Numerator: ' + '
' + '
' + '
' + '
' + '' + '
' + '
' + '' + '
' + '
' + "

For this example, the individual's prescription claim on 3/25 overlaps with the days' supply for the prescription claim on 1/1. However, because the prescription claims on 1/1 and 3/25 do not involve the same target drug, the start date for the prescription claim on 3/25 is not adjusted.

" + '
' + '' + '' + '' + '
' + '
' + '
' + '
' + '
' + '
' + '' + '' + 'Index Date: {{items[7].calculation.indexDate}}
' + 'Days in the Treatment Period: {{items[7].calculation.daysInMeasPeriod}}
' + 'Unique Dates of Service: {{items[7].calculation.uniqueDatesOfService}}
' + 'Denominator:
' + '
' + '' + 'Days Covered: {{items[7].calculation.daysCovered}}
' + 'PDC: {{items[7].calculation.pdc}}
' + 'Numerator: ' + '
' + '
' + '
' + '
' + '' + '
' + '
' + '' + '
' + '
' + "
" + '
' + '' + '' + '
' + "

When there is overlap of a single agent and a combination product containing the same target drug (same generic ingredient) or when there is overlap of a combination product and another combination product with at least one of the target drugs (same generic ingredient) in common, adjust the prescription claim start date to be the day after the days' supply for previous prescription claim has ended.

" + "

For this example, the individual's prescription claim on 3/25 overlaps with the days' supply for the prescription claim on 1/1. Because the prescription claim for the single ingredient product on 1/1 and the prescription claim for the combination product on 3/25 both include the same target drug, the start date for the prescription claim on 3/25 is adjusted to be the day after the days' supply for the prescription claim on 1/1 has ended.

" + '
' + '' + '' + '' + '
' + '
' + '
' + '
' + '
' + '
' + '' + '' + 'Index Date: {{items[8].calculation.indexDate}}
' + 'Days in the Treatment Period: {{items[8].calculation.daysInMeasPeriod}}
' + 'Unique Dates of Service: {{items[8].calculation.uniqueDatesOfService}}
' + 'Denominator:
' + '
' + '' + 'Days Covered: {{items[8].calculation.daysCovered}}
' + 'PDC: {{items[8].calculation.pdc}}
' + 'Numerator: ' + '
' + '
' + '
' + '
' + '' + '
' + '
' + '' + '
' + '
' + '
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' + '' + '' + "
" + "

These measures use administrative claims data, which do not contain the data elements needed to account for discontinuation of a medication. Even so, this should not disproportionately impact certain health plans.

" + "

When calculating the PDC, individuals only need to be covered by one target medication for each day in the treatment period. The PDC calculation allows for switching between target medications (i.e. " + singleAgent1 + ", " + singleAgent2 + ") during the treatment period. The treatment period does not end for discontinuation of a medication. However, for overlapping prescriptions involving the same target medication (or single agent and combination products containing the same target medication), we adjust the prescription start date to be the day after the previous prescription claim has ended.

" + "
" + '
' + '' + '' + '
' + "

For the PDC-DR measure, individuals only need to be covered by one medication for each day in the treatment period. It does not need to be the same target medication (i.e. " + singleAgent1 + ", " + singleAgent2 + ") or class (i.e. biguanides, sulfonylureas) but does need to be on the target medication list.

" + "

For this example, the individual is covered by several different medications during the treatment period. However, the individual is not covered by any single medication throughout the treatment period.

" + '
' + '' + '' + '' + '
' + '
' + '
' + '
' + '
' + '
' + '' + '' + 'Index Date: {{items[9].calculation.indexDate}}
' + 'Days in the Treatment Period: {{items[9].calculation.daysInMeasPeriod}}
' + 'Unique Dates of Service: {{items[9].calculation.uniqueDatesOfService}}
' + 'Denominator:
' + '
' + '' + 'Days Covered: {{items[9].calculation.daysCovered}}
' + 'PDC: {{items[9].calculation.pdc}}
' + 'Numerator: ' + '
' + '
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' + '
' + '' + '
' + '
' + '' + '
' + '
' + '
' + '
' + '
' + '
' + '
', data: function() { return { items: drItems, active: active } } }); Vue.component('pdc-dr', { template: '
' + '' + '' + '' + '



' + '
', props: { rationale: { default: false }, faqs: { default: false } } });