ArticleJournal of managed care & specialty pharmacy2020
Effect of Pharmacist-Driven Professional Continuous Glucose Monitoring in Adults with Uncontrolled Diabetes.
Article in Journal of managed care & specialty pharmacy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Benefits of Utilizing Continuous Glucose Monitoring of Diabetes Mellitus in Primary Care: A Systematic Review.Journal of diabetes science and technology · 2023Pooled it
- Integrating Pharmacists into CGM-Enabled Digital Diabetes Care: Advancing Personalized and Data-Driven Management.Healthcare (Basel, Switzerland) · 2026Review
- 7. Diabetes Technology: Standards of Care in Diabetes-2026.Diabetes care · 2026Review
- Article
- Pharmacy Students' Perceptions of Receiving Hands-On Continuous Glucose Monitoring (CGM) Education as Part of Their Core Curriculum: A Pre-Post Study.Pharmacy (Basel, Switzerland) · 2025Article
- Impact of Pharmacist-Led Continuous Glucose Monitoring on Clinical Outcomes in People With Type 2 Diabetes in Primary Care: Protocol for a Prospective Cohort Study.JMIR research protocols · 2025Article
- Integration of Teaching of Digital Health-Driven Medical Devices in Pharmacy Education.Pharmacy (Basel, Switzerland) · 2025Article
- Development of a Theoretical Continuous Glucose Monitoring Module for Pharmacy Students: Preparing Pharmacists for the Future.Pharmacy (Basel, Switzerland) · 2024Article
- Digital health in pharmacy education: Elective practical course integrating wearable devices and their generated health data.Exploratory research in clinical and social pharmacy · 2024Article
- The association of continuous glucose monitoring with glycemic parameters in patients with uncontrolled type 2 diabetes: A prospective observational study.Journal of family medicine and primary care · 2024Article
- Development of a Continuous Glucose Monitoring Service by Clinical Pharmacists in a Medically Underserved Population.Innovations in pharmacy · 2024Article
- Association Between Change in A1C and Use of Professional Continuous Glucose Monitoring in Adults With Type 2 Diabetes on Noninsulin Therapies: A Real-World Evidence Study.Clinical diabetes : a publication of the American Diabetes Association · 2023Article
- A Cross-Sectional Survey Study Examining the Provision of Continuous Glucose Monitoring Education in U.S. Doctor of Pharmacy Programs.Pharmacy (Basel, Switzerland) · 2022Article
- Flash Continuous Glucose Monitoring in Primary Care Settings: The Need for Measurement of Novel Glycemic Metrics to Adopt Policy and Practice Change.Journal of managed care & specialty pharmacy · 2020Article
- The Authors Respond.Journal of managed care & specialty pharmacy · 2020Article
- Evaluating Pharmacotherapy Optimization in Pharmacist-Led Management of Type 2 Diabetes Utilizing Continuous Glucose Monitors.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetes requires close monitoring to achieve optimal outcomes and avoid adverse effects. Continuous glucose monitoring (CGM) is one approach to measuring glycemia and has become more widespread with recent advances in technology; however, ideal implementation of CGM into clinical practice is unknown. CGM can be categorized as personal CGM, which can be for at-home use to replace self-monitoring of blood glucose, or professional CGM (proCGM), which is used intermittently under the direction of a health care professional. The expanding role of the clinical pharmacist allows pharmacists to be at the forefront of implementing proCGM technology, but literature on the effect of pharmacist-driven proCGM is lacking. Pharmacists and physicians within 1 physician-owned clinic used proCGM technology differently. Pharmacists conducted 1 or 2 office visits to interpret data and make interventions, while physicians interpreted data 1 time and relayed interventions via phone.
objectivesTo (a) compare the change in hemoglobin A1c from baseline to 6 months between the different methods of proCGM implementation, and (b) describe and compare the clinical interventions made as a result of the different methods of proCGM implementation.
methodsIn this retrospective cohort study, adults identified in the electronic medical record via Current Procedural Terminology code 95250 or 95251 undergoing proCGM with CGM data interpreted and baseline A1c ≥ 7% were included. Patients with additional CGM use within the 6-month follow-up period were excluded. Data collection included demographics, A1c at baseline and during the 6-month follow-up period, and CGM-associated interventions. Patients were categorized as undergoing 1 pharmacist-driven encounter (RPh1), 2 pharmacist-driven encounters (RPh2), or 1 physician-driven encounter (MD1) for proCGM implementation. Combined RPh1 and RPh2 (cRPh) data were also used for analysis. The primary outcome was change in A1c from baseline to 6 months, which was evaluated by analysis of covariance.
resultsOf 378 patient charts reviewed, 315 instances of proCGM implementation met inclusion criteria (58 RPh1, 35 RPh2, 222 MD1), and 253 had post-implementation A1c data for analysis of the primary outcome (52 RPh1, 30 RPh2, 171 MD1). Baseline A1c was 8.4%, 8.8%, and 9.1% with mean reduction from baseline to 6 months of 1.0%, 1.3%, and 0.6%, respectively. cRPh patients experienced a greater mean reduction in A1c compared with MD1 (
conclusionsPharmacist-driven implementation of proCGM was associated with greater A1c reductions and more pharmacological interventions versus physician-driven implementation. This study demonstrated improved clinical outcomes with pharmacists providing direct patient care through implementation of new diabetes technology. DISCLOSURES: No outside funding supported this study. The authors have nothing to disclose. Preliminary results of this work were presented at the American College of Clinical Pharmacy Virtual Poster Symposium, May 28-29, 2019. The abstract was not peer-reviewed because of enrollment in the Mentored Research Investigator Training (MeRIT) program. Final peer-reviewed results were presented at the American College of Clinical Pharmacy Annual Meeting; October 26-29, 2019; New York, NY.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.