Literature DB >> 19064827

Effect of electronic prescribing with formulary decision support on medication use and cost.

Michael A Fischer1, Christine Vogeli, Margaret Stedman, Timothy Ferris, M Alan Brookhart, Joel S Weissman.   

Abstract

BACKGROUND: Electronic prescribing (e-prescribing) with formulary decision support (FDS) prompts prescribers to prescribe lower-cost medications and may help contain health care costs. In April 2004, 2 large Massachusetts insurers began providing an e-prescribing system with FDS to community-based practices.
METHODS: Using 18 months (October 1, 2003, to March 31, 2005) of administrative data, we conducted a pre-post study with concurrent controls. We first compared the change in the proportion of prescriptions for 3 formulary tiers before and after e-prescribing began, then developed multivariate longitudinal models to estimate the specific effect of e-prescribing when controlling for baseline differences between intervention and control prescribers. Potential savings were estimated using average medication costs by formulary tier.
RESULTS: More than 1.5 million patients filled 17.4 million prescriptions during the study period. Multivariate models controlling for baseline differences between prescribers and for changes over time estimated that e-prescribing corresponded to a 3.3% increase (95% confidence interval, 2.7%-4.0%) in tier 1 prescribing. The proportion of prescriptions for tiers 2 and 3 (brand-name medications) decreased correspondingly. e-Prescriptions accounted for 20% of filled prescriptions in the intervention group. Based on average costs for private insurers, we estimated that e-prescribing with FDS at this rate could result in savings of $845,000 per 100,000 patients. Higher levels of e-prescribing use would increase these savings.
CONCLUSIONS: Clinicians using e-prescribing with FDS were significantly more likely to prescribe tier 1 medications, and the potential financial savings were substantial. Widespread use of e-prescribing systems with FDS could result in reduced spending on medications.

Entities:  

Mesh:

Year:  2008        PMID: 19064827     DOI: 10.1001/archinte.168.22.2433

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  30 in total

1.  Impact of generic substitution decision support on electronic prescribing behavior.

Authors:  Shane P Stenner; Qingxia Chen; Kevin B Johnson
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2.  Technological viewpoints (frames) about electronic prescribing in physician practices.

Authors:  Ritu Agarwal; Corey M Angst; Catherine M DesRoches; Michael A Fischer
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3.  Antihypertensive Medication Use in Older Patients Transitioning from Chronic Kidney Disease to End-Stage Renal Disease on Dialysis.

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4.  Meaningful use of electronic prescribing in 5 exemplar primary care practices.

Authors:  Jesse C Crosson; Rebecca S Etz; Shinyi Wu; Susan G Straus; David Eisenman; Douglas S Bell
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5.  Home Dialysis in the Prospective Payment System Era.

Authors:  Eugene Lin; Xingxing S Cheng; Kuo-Kai Chin; Talhah Zubair; Glenn M Chertow; Eran Bendavid; Jayanta Bhattacharya
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6.  Evaluation of a user guidance reminder to improve the quality of electronic prescription messages.

Authors:  A A Dhavle; S T Corley; M T Rupp; J Ruiz; J Smith; R Gill; M Sow
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7. 

Authors:  Iris Gorfinkel; Ahuva Brown; Joel R Lexchin
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8.  Engaging physicians to prescribe more cost-effectively: Blueprint for change.

Authors:  Iris Gorfinkel; Ahuva Brown; Joel R Lexchin
Journal:  Can Fam Physician       Date:  2020-10       Impact factor: 3.275

9.  Yelp for Prescribers: A Quasi-Experimental Study of Providing Antibiotic Cost Data and Prescription of High-Cost Antibiotics in an Academic and Tertiary Care Hospital.

Authors:  Kira L Newman; Jay Varkey; Justin Rykowski; Arun V Mohan
Journal:  J Gen Intern Med       Date:  2015-03-07       Impact factor: 5.128

10.  Whom do older adults trust most to provide information about prescription drugs?

Authors:  Julie M Donohue; Haiden A Huskamp; Ira B Wilson; Joel Weissman
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