Educational Intervention to Reduce Inappropriate Use of Proton Pump Inhibitors in Resident Primary Care Clinic

2016 ◽  
Vol 111 ◽  
pp. S1284 ◽  
Author(s):  
Basma Shahid
Keyword(s):  
Primary Care ◽  
Proton Pump Inhibitors ◽  
Educational Intervention ◽  
Proton Pump ◽  
Primary Care Clinic ◽  
Care Clinic ◽  
Inappropriate Use

Initiatives to reduce the inappropriate use of proton pump inhibitors in an outpatient primary care clinic

2020 ◽  
Vol 78 (6) ◽  
pp. 497-498
Author(s):  
P. Kudaravalli ◽  
R. Doobay ◽  
C. Carvounis ◽  
C. Toomey ◽  
A. Dhamoon
Keyword(s):  
Primary Care ◽  
Proton Pump Inhibitors ◽  
Proton Pump ◽  
Primary Care Clinic ◽  
Care Clinic ◽  
Inappropriate Use

Vision Screening Among Primary Care Clinic Patients

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 93A-93A
Author(s):  
Lwbba Chait ◽  
Angeliki Makri ◽  
Rawan Nahas ◽  
Gwen Raphan
Keyword(s):  
Primary Care ◽  
Primary Care Clinic ◽  
Vision Screening ◽  
Care Clinic

scholarly journals Elderly Patients in Primary Care are Still at Risks of Receiving Potentially Inappropriate Medications

2021 ◽  
Vol 12 ◽  
pp. 215013272110350
Author(s):  
Pasitpon Vatcharavongvan ◽  
Viwat Puttawanchai
Keyword(s):  
Primary Care ◽  
Primary Care Clinic ◽  
Clinical Decision ◽  
Cross Sectional Study ◽  
Study Data ◽  
Patient Specific ◽  
Potentially Inappropriate Medications ◽  
Cross Sectional ◽  
Care Clinic ◽  
Inappropriate Medications

Background Most older adults with comorbidities in primary care clinics use multiple medications and are at risk of potentially inappropriate medications (PIMs) prescription. Objective This study examined the prevalence of polypharmacy and PIMs using Thai criteria for PIMs. Methods This study was a retrospective cross-sectional study. Data were collected from electronic medical records in a primary care clinic in 2018. Samples were patients aged ≥65 years old with at least 1 prescription. Variables included age, gender, comorbidities, and medications. The list of risk drugs for Thai elderly version 2 was the criteria for PIMs. The prevalence of polypharmacy and PIMs were calculated, and multiple logistic regression was conducted to examine associations between variables and PIMs. Results Of 2806 patients, 27.5% and 43.7% used ≥5 medications and PIMs, respectively. Of 10 290 prescriptions, 47% had at least 1 PIM. The top 3 PIMs were anticholinergics, proton-pump inhibitors, and nonsteroidal anti-inflammatory drugs (NSAIDs). Polypharmacy and dyspepsia were associated with PIM prescriptions (adjusted odds ratio 2.48 [95% confident interval or 95% CI 2.07-2.96] and 3.88 [95% CI 2.65-5.68], respectively). Conclusion Prescriptions with PIMs were high in the primary care clinic. Describing unnecessary medications is crucial to prevent negative health outcomes from PIMs. Computer-based clinical decision support, pharmacy-led interventions, and patient-specific drug recommendations are promising interventions to reduce PIMs in a primary care setting.

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