The sustainability of a community pharmacy intervention to improve the quality use of asthma medication.
A previously published asthma intervention used a software application to data mine pharmacy dispensing records and generate a list of patients with potentially suboptimal management of their asthma; in particular, a high rate of provision of reliever medication. These patients were sent educational...
| Publicado en: | Journal of Clinical Pharmacy & Therapeutics Vol. 36; no. 2; pp. 144 - 152 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104827399&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104827399 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02694727 EV4 jtl: Journal of Clinical Pharmacy & Therapeutics issn: 02694727 maglogo: Y pubinfo: dt: Apr2011 vid: 36 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104827399 58757525 10.1111/j.1365-2710.2010.01165.x NLM21366642 104827399 ppf: 144 ppct: 8 formats: fmt: @attributes: type: P tig: atl: The sustainability of a community pharmacy intervention to improve the quality use of asthma medication. aug: au: Bereznicki, B. Peterson, G. Jackson, S. Walters, E. H. Gee, P. affil: Unit for Medication Outcomes Research and Education, School of Pharmacy, University of Tasmania, Hobart, Tasmania sug: subj: Pharmacy, Retail Asthma Drug Therapy Software Data Mining Methods Albuterol Administration and Dosage Beclomethasone Administration and Dosage Human Secondary Analysis Data Analysis Software Pharmacists Prospective Studies Tasmania Administration, Inhalation Random Assignment Descriptive Statistics Repeated Measures Analysis of Variance Friedman Test Post Hoc Analysis Wilcoxon Signed Rank Test Chi Square Test ab: A previously published asthma intervention used a software application to data mine pharmacy dispensing records and generate a list of patients with potentially suboptimal management of their asthma; in particular, a high rate of provision of reliever medication. These patients were sent educational material from their community pharmacists and advised to seek a review of their asthma management from their general practitioner. The intervention resulted in a 3-fold improvement in the ratio of dispensed preventer medication (inhaled corticosteroids) to reliever medication (short-acting beta-2 agonists). This follow-up study aimed to determine the long-term effects of the intervention programme on the preventer-to-reliever (P:R) ratio. The same data mining software was modified so that it could re-identify patients who were originally targeted for the intervention. Community pharmacists who participated in the previous intervention installed the modified version of the software. The dispensing data were then de-identified, encrypted and transferred via the Internet to a secure server. The follow-up dispensing data for all patients were compared with their pre- and post-intervention data collected originally. Of the 1551 patients who were included in the original study, 718 (46·3%) were eligible to be included in the follow-up study. The improved P:R ratio was sustained for at least 12 months following the intervention ( P < 0·01). The sustained increase in the P:R ratio was attributed to significant decreases in the average daily usage of reliever medication ( P < 0·0001). The follow-up study demonstrated a sustained improvement in the ratio of dispensed preventer medication to reliever medication for asthma. The intervention has the potential to show long-lasting and widespread improvements in asthma management, improved health outcomes for patients, and ultimately, a reduced burden on the health system. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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