Literature DB >> 26386105

Accuracy of annual prescription drug expenditure forecasts in AJHP.

Patricia L Hartke1, Lee C Vermeulen1, James M Hoffman1, Nilay D Shah1, Fred Doloresco1, Katie J Suda1, Edward C Li1, Linda M Matusiak1, Robert J Hunkler1, Glen T Schumock2.   

Abstract

PURPOSE: The accuracy of the forecasts of drug expenditures in nonfederal hospitals and clinics published annually in the American Journal of Health-System Pharmacy (AJHP) relative to the accuracy of forecasts produced by the Centers for Medicare and Medicaid Services (CMS) was evaluated.
METHODS: AJHP-published forecasts of drug expenditure growth for nonfederal hospitals (for the years 2003 through 2013) and clinics (for the years 2004 through 2013) were compared with data on actual growth. Data on actual and projected growth published by CMS were analyzed for the years 2003 through 2012. The mean absolute error and directional accuracy of the forecasts published in AJHP for nonfederal hospitals and clinics and the CMS forecasts were determined and compared.
RESULTS: Actual spending growth was within the range of the forecast published in AJHP for 2 of 11 years for nonfederal hospitals and for 3 of 10 years for clinics; the forecasts for nonfederal hospitals and clinics were directionally accurate 27.3% and 60.0% of the time, respectively. The mean absolute errors of the AJHP-published drug expenditure forecasts for the nonfederal hospital and clinic sectors were 2.0 and 4.7 percentage points, respectively. The CMS forecasts of overall drug spending were directionally accurate 70% of the time, and the mean absolute error (2.2 percentage points) was not statistically different from that of either sector forecast published in AJHP.
CONCLUSION: The annual drug expenditure forecasts published in AJHP have been reasonably accurate for predicting growth in prescription expenditures when compared with other available drug expenditure forecasts.
Copyright © 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

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Year:  2015        PMID: 26386105      PMCID: PMC4576353          DOI: 10.2146/ajhp140850

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  40 in total

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Authors:  James M Hoffman; Edward Li; Fred Doloresco; Linda Matusiak; Robert J Hunkler; Nilay D Shah; Lee C Vermeulen; Glen T Schumock
Journal:  Am J Health Syst Pharm       Date:  2012-03-01       Impact factor: 2.637

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Authors:  Sean P Keehan; Gigi A Cuckler; Andrea M Sisko; Andrew J Madison; Sheila D Smith; Joseph M Lizonitz; John A Poisal; Christian J Wolfe
Journal:  Health Aff (Millwood)       Date:  2012-06-12       Impact factor: 6.301

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Authors:  Gigi A Cuckler; Andrea M Sisko; Sean P Keehan; Sheila D Smith; Andrew J Madison; John A Poisal; Christian J Wolfe; Joseph M Lizonitz; Devin A Stone
Journal:  Health Aff (Millwood)       Date:  2013-09-18       Impact factor: 6.301

6.  Projecting future drug expenditures: 2011.

Authors:  Fred Doloresco; Cory Fominaya; Glen T Schumock; Lee C Vermeulen; Linda Matusiak; Robert J Hunkler; Nilay D Shah; James M Hoffman
Journal:  Am J Health Syst Pharm       Date:  2011-05-15       Impact factor: 2.637

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Authors:  Sean P Keehan; Andrea M Sisko; Christopher J Truffer; John A Poisal; Gigi A Cuckler; Andrew J Madison; Joseph M Lizonitz; Sheila D Smith
Journal:  Health Aff (Millwood)       Date:  2011-07-28       Impact factor: 6.301

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Authors:  Micah Hartman; Anne B Martin; Joseph Benson; Aaron Catlin
Journal:  Health Aff (Millwood)       Date:  2013-01       Impact factor: 6.301

9.  Projecting future drug expenditures in U.S. nonfederal hospitals and clinics--2013.

Authors:  James M Hoffman; Edward Li; Fred Doloresco; Linda Matusiak; Robert J Hunkler; Nilay D Shah; Lee C Vermeulen; Glen T Schumock
Journal:  Am J Health Syst Pharm       Date:  2013-03-15       Impact factor: 2.637

10.  If slow rate of health care spending growth persists, projections may be off by $770 billion.

Authors:  David M Cutler; Nikhil R Sahni
Journal:  Health Aff (Millwood)       Date:  2013-05       Impact factor: 6.301

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Authors:  Love Linnér; Irene Eriksson; Marie Persson; Björn Wettermark
Journal:  BMC Health Serv Res       Date:  2020-05-11       Impact factor: 2.655

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