Association of potentially inappropriate medication use with patient and prescriber characteristics in Medicare Part D

Holly M. Holmes, Ruili Luo, Yong Fang Kuo, Jacques Baillargeon, James Goodwin

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33 Citations (Scopus)

Abstract

Purpose: The use of potentially inappropriate medications (PIMs) in older people is associated with increased risk of adverse drug events and hospitalization. This study aimed to determine the contribution of primary prescribers to variation in PIM use. Methods: This was a retrospective cohort study using 2008 Medicare Part D event files and claims data for a 100% sample of Texas beneficiaries. PIM use was defined as receiving any of 48 medications on the Beers 2003 list of PIMs. Patient characteristics associated with PIM use were determined using a multivariable model. A multilevel model for the odds of PIM use was constructed to evaluate the amount of variation in PIM use at the level of primary care prescriber, controlling for patient characteristics. Results: Of 677580 patients receiving prescriptions through Part D in 2008, 31.9% received a PIM. Sex, ethnicity, low-income subsidy eligibility, and hospitalization in 2007 were associated with PIM use. The strongest associations with higher PIM use were increasing number of prescribers and increasing number of medications. The odds ratio for PIM use was 1.50 (95%CI 1.47-1.53) for ≥4 prescribers versus only 1 prescriber. In the multilevel model, the adjusted average percent of patients prescribed a PIM ranged from 17.5% for the lowest decile to 28.9% for the highest decile of prescribers. Conclusions: PIM use was prevalent in Part D beneficiaries and varied among individual primary care prescribers. The association of PIM use with increasing numbers of prescribers suggests the need to reduce fragmentation of care to reduce inappropriate prescribing.

Original languageEnglish (US)
Pages (from-to)728-734
Number of pages7
JournalPharmacoepidemiology and Drug Safety
Volume22
Issue number7
DOIs
StatePublished - Jul 2013

Fingerprint

Medicare Part D
Potentially Inappropriate Medication List
Primary Health Care
Hospitalization
Inappropriate Prescribing
Information Storage and Retrieval

Keywords

  • Beers criteria
  • Elderly
  • Inappropriate medication
  • Medicare Part D
  • Pharmacoepidemiology
  • Pharmacotherapy
  • Polypharmacy

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Epidemiology

Cite this

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title = "Association of potentially inappropriate medication use with patient and prescriber characteristics in Medicare Part D",
abstract = "Purpose: The use of potentially inappropriate medications (PIMs) in older people is associated with increased risk of adverse drug events and hospitalization. This study aimed to determine the contribution of primary prescribers to variation in PIM use. Methods: This was a retrospective cohort study using 2008 Medicare Part D event files and claims data for a 100{\%} sample of Texas beneficiaries. PIM use was defined as receiving any of 48 medications on the Beers 2003 list of PIMs. Patient characteristics associated with PIM use were determined using a multivariable model. A multilevel model for the odds of PIM use was constructed to evaluate the amount of variation in PIM use at the level of primary care prescriber, controlling for patient characteristics. Results: Of 677580 patients receiving prescriptions through Part D in 2008, 31.9{\%} received a PIM. Sex, ethnicity, low-income subsidy eligibility, and hospitalization in 2007 were associated with PIM use. The strongest associations with higher PIM use were increasing number of prescribers and increasing number of medications. The odds ratio for PIM use was 1.50 (95{\%}CI 1.47-1.53) for ≥4 prescribers versus only 1 prescriber. In the multilevel model, the adjusted average percent of patients prescribed a PIM ranged from 17.5{\%} for the lowest decile to 28.9{\%} for the highest decile of prescribers. Conclusions: PIM use was prevalent in Part D beneficiaries and varied among individual primary care prescribers. The association of PIM use with increasing numbers of prescribers suggests the need to reduce fragmentation of care to reduce inappropriate prescribing.",
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AU - Luo, Ruili

AU - Kuo, Yong Fang

AU - Baillargeon, Jacques

AU - Goodwin, James

PY - 2013/7

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N2 - Purpose: The use of potentially inappropriate medications (PIMs) in older people is associated with increased risk of adverse drug events and hospitalization. This study aimed to determine the contribution of primary prescribers to variation in PIM use. Methods: This was a retrospective cohort study using 2008 Medicare Part D event files and claims data for a 100% sample of Texas beneficiaries. PIM use was defined as receiving any of 48 medications on the Beers 2003 list of PIMs. Patient characteristics associated with PIM use were determined using a multivariable model. A multilevel model for the odds of PIM use was constructed to evaluate the amount of variation in PIM use at the level of primary care prescriber, controlling for patient characteristics. Results: Of 677580 patients receiving prescriptions through Part D in 2008, 31.9% received a PIM. Sex, ethnicity, low-income subsidy eligibility, and hospitalization in 2007 were associated with PIM use. The strongest associations with higher PIM use were increasing number of prescribers and increasing number of medications. The odds ratio for PIM use was 1.50 (95%CI 1.47-1.53) for ≥4 prescribers versus only 1 prescriber. In the multilevel model, the adjusted average percent of patients prescribed a PIM ranged from 17.5% for the lowest decile to 28.9% for the highest decile of prescribers. Conclusions: PIM use was prevalent in Part D beneficiaries and varied among individual primary care prescribers. The association of PIM use with increasing numbers of prescribers suggests the need to reduce fragmentation of care to reduce inappropriate prescribing.

AB - Purpose: The use of potentially inappropriate medications (PIMs) in older people is associated with increased risk of adverse drug events and hospitalization. This study aimed to determine the contribution of primary prescribers to variation in PIM use. Methods: This was a retrospective cohort study using 2008 Medicare Part D event files and claims data for a 100% sample of Texas beneficiaries. PIM use was defined as receiving any of 48 medications on the Beers 2003 list of PIMs. Patient characteristics associated with PIM use were determined using a multivariable model. A multilevel model for the odds of PIM use was constructed to evaluate the amount of variation in PIM use at the level of primary care prescriber, controlling for patient characteristics. Results: Of 677580 patients receiving prescriptions through Part D in 2008, 31.9% received a PIM. Sex, ethnicity, low-income subsidy eligibility, and hospitalization in 2007 were associated with PIM use. The strongest associations with higher PIM use were increasing number of prescribers and increasing number of medications. The odds ratio for PIM use was 1.50 (95%CI 1.47-1.53) for ≥4 prescribers versus only 1 prescriber. In the multilevel model, the adjusted average percent of patients prescribed a PIM ranged from 17.5% for the lowest decile to 28.9% for the highest decile of prescribers. Conclusions: PIM use was prevalent in Part D beneficiaries and varied among individual primary care prescribers. The association of PIM use with increasing numbers of prescribers suggests the need to reduce fragmentation of care to reduce inappropriate prescribing.

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