2010
DOI: 10.2146/ajhp100032
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Development and implementation of signs- and symptoms-based insulin adjustment algorithm

Abstract: The Frontline Pharmacist column gives staff pharmacists an opportunity to share their experiences and pertinent lessons related to day-to-day practice. Topics include workplace innovations, cooperating with peers, communicating with other professionals, dealing with management, handling technical issues related to pharmacy practice, and supervising technicians. Readers are invited to submit manuscripts, ideas, and comments to AJHP, 7272

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Cited by 7 publications
(12 citation statements)
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“…Poor glucose control is often due to inappropriate drug usage and lack of close follow‐up; hence, closer monitoring by clinical pharmacist provided timely drug optimization . In addition, the clinical pharmacists in our study were trained to use the SIGN algorithm specifically designed for Asian patients who refuse to use a glucose meter, and active insulin titration was still carried out despite low adherence rates of SMBG. Due to these interventions of the clinical pharmacists, patients in the multidisciplinary collaborative care arm benefitted from glycaemic improvement as any degree of improvement in HbA1c would lower the risk of diabetes‐related complications …”
Section: Discussionmentioning
confidence: 99%
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“…Poor glucose control is often due to inappropriate drug usage and lack of close follow‐up; hence, closer monitoring by clinical pharmacist provided timely drug optimization . In addition, the clinical pharmacists in our study were trained to use the SIGN algorithm specifically designed for Asian patients who refuse to use a glucose meter, and active insulin titration was still carried out despite low adherence rates of SMBG. Due to these interventions of the clinical pharmacists, patients in the multidisciplinary collaborative care arm benefitted from glycaemic improvement as any degree of improvement in HbA1c would lower the risk of diabetes‐related complications …”
Section: Discussionmentioning
confidence: 99%
“…Upon signing the informed consent forms, patients were randomized into the intervention (multidisciplinary collaborative care) or control (usual care) arms. In the intervention arm, physicians referred their patients to the diabetes nurse educators or dietitians as needed, while clinical pharmacists followed up regularly with all patients every four to 6 weeks via face‐to‐face visits or phone calls, following an established protocol . Each face‐to‐face session with the clinical pharmacists, diabetes nurse educators and dietitians lasted between 20 and 30 minutes (Figure ).…”
Section: Methodsmentioning
confidence: 99%
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“…7 The algorithm was subsequently revised and updated in 2010, incorporating all rapid-, short-, and long-acting insulin products as well as the premixed insulin products (Fig. 1).…”
Section: Development Of Sign Algorithmmentioning
confidence: 99%
“…7 In this pilot study, we report the clinical outcome and safety in the use of our SIGN algorithm to manage patients with uncontrolled type 2 diabetes.…”
Section: Introductionmentioning
confidence: 99%