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Telemedicine Prescribing by US Mental Health Care Providers: National Cross-Sectional Survey

Telemedicine Prescribing by US Mental Health Care Providers: National Cross-Sectional Survey

Overall, participant health care providers indicated high levels of comfort with prescribing via telemedicine, with 84% (102/115) of participants indicating they strongly agree with the statement indicating comfort in prescribing medications via telemedicine. Only 5 (4.3%) participants somewhat or strongly disagreed. However, participants indicated less comfort in prescribing if they have never seen a patient in person, or if the patient is located out-of-state.

Mollie R Cummins, Julia Ivanova, Hiral Soni, Zoe Robbins, Brian E Bunnell, Esteban López, Brandon M Welch

JMIR Form Res 2025;9:e63251

Design and Implementation of an Opioid Scorecard for Hospital System–Wide Peer Comparison of Opioid Prescribing Habits: Observational Study

Design and Implementation of an Opioid Scorecard for Hospital System–Wide Peer Comparison of Opioid Prescribing Habits: Observational Study

Electronic prescribing of controlled substances (EPCS) can improve medication safety, and a 2017 study reported that an increasing number of prescribers are prescribing electronically [17]. Prescription drug monitoring programs, which require prescribers to review prior controlled substance prescriptions prior to prescribing, have shown reductions in opioid prescribing rates [18].

Benjamin Heritier Slovis, Soonyip Huang, Melanie McArthur, Cara Martino, Tasia Beers, Meghan Labella, Jeffrey M Riggio, Edmund deAzevedo Pribitkin

JMIR Hum Factors 2024;11:e44662

Complex Hospital-Based Electronic Prescribing–Based Intervention to Support Antimicrobial Stewardship: Qualitative Study

Complex Hospital-Based Electronic Prescribing–Based Intervention to Support Antimicrobial Stewardship: Qualitative Study

AMR is exacerbated by suboptimal prescribing practices, including, for example, over-prescribing of antibiotics, incomplete treatment courses, incorrect dosages or durations, and inadequate diagnosis and testing [5]. Antimicrobial stewardship (AMS) is an approach that attempts to refine and reduce inappropriate antibiotic use by improving prescribing and review practices [6]. Many AMS programs have targeted hospitals, as these are known to have high rates of inappropriate use of antibiotics [7].

Kathrin Cresswell, Susan Hinder, Aziz Sheikh, Neil Watson, David Price, Andrew Heed, Sarah Katie Pontefract, Jamie Coleman, Jillian Beggs, Antony Chuter, Ann Slee, Robin Williams

JMIR Form Res 2024;8:e54458

Antibiotic Prescribing by Digital Health Care Providers as Compared to Traditional Primary Health Care Providers: Cohort Study Using Register Data

Antibiotic Prescribing by Digital Health Care Providers as Compared to Traditional Primary Health Care Providers: Cohort Study Using Register Data

Despite these positive results, prescribing antibiotics through remote consultations might be difficult because of the inability to perform physical examinations and carry out necessary testing. Given the global concern regarding antimicrobial resistance, prescribing patterns for digital care providers compared with traditional PHC are important to investigate [8].

Andy Wallman, Kurt Svärdsudd, Kent Bobits, Thorne Wallman

J Med Internet Res 2024;26:e55228

Role of Individual Clinician Authority in the Implementation of Informatics Tools for Population-Based Medication Management: Qualitative Semistructured Interview Study

Role of Individual Clinician Authority in the Implementation of Informatics Tools for Population-Based Medication Management: Qualitative Semistructured Interview Study

Given that inappropriate DOAC prescribing occurs in up to one-quarter of patients, health systems are implementing population health tools that leverage the power of clinical data in electronic health records (EHRs) to evaluate DOAC-prescribing trends and act as a clinical decision support (CDS) informatics tool for identifying patients with potential medication errors.

Allison Ranusch, Ying-Jen Lin, Michael P Dorsch, Arthur L Allen, Patrick Spoutz, F Jacob Seagull, Jeremy B Sussman, Geoffrey D Barnes

JMIR Hum Factors 2023;10:e49025

Prescribing Patterns of Oral Antibiotics and Isotretinoin for Acne in a Colorado Hospital System: Retrospective Cohort Study

Prescribing Patterns of Oral Antibiotics and Isotretinoin for Acne in a Colorado Hospital System: Retrospective Cohort Study

In a large, retrospective study using Optum Insight data from 2004 to 2013, authors looked at prescribing patterns among dermatologists and nondermatologists for the treatment of acne [21]. They found a significant increase in spironolactone prescriptions for acne throughout that time period [21].

Madeline J Adelman, Torunn E Sivesind, Isaac Weber, Grace Bosma, Camille Hochheimer, Chante Karimkhani, Lisa M Schilling, John S Barbieri, Robert P Dellavalle

JMIR Dermatol 2023;6:e42883

Data-Driven Identification of Unusual Prescribing Behavior: Analysis and Use of an Interactive Data Tool Using 6 Months of Primary Care Data From 6500 Practices in England

Data-Driven Identification of Unusual Prescribing Behavior: Analysis and Use of an Interactive Data Tool Using 6 Months of Primary Care Data From 6500 Practices in England

At the practice or PCN level this will be individual or group general practitioner decisions based on their practice population, but MO teams at the STP and CCG level will also monitor prescribing behavior to inform prescribing policy (and formulary) for these wider geographic regions.

Lisa EM Hopcroft, Jon Massey, Helen J Curtis, Brian Mackenna, Richard Croker, Andrew D Brown, Thomas O'Dwyer, Orla Macdonald, David Evans, Peter Inglesby, Sebastian CJ Bacon, Ben Goldacre, Alex J Walker

JMIR Med Inform 2023;11:e44237

Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review

Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review

Since 2011, the National Health Service (NHS) in England has openly shared detailed monthly general practice prescribing data to the level of individual doses, chemicals, and brands, aggregated at the individual general practice level. These data have supported original research on a broad range of topics as well as supporting systematic audit and review programs to realize improvements in primary care prescribing [1].

Brian MacKenna, Helen J Curtis, Lisa E M Hopcroft, Alex J Walker, Richard Croker, Orla Macdonald, Stephen J W Evans, Peter Inglesby, David Evans, Jessica Morley, Sebastian C J Bacon, Ben Goldacre

JMIR Med Inform 2022;10(12):e41200

Impact of Electronic Health Record Interface Design on Unsafe Prescribing of Ciclosporin, Tacrolimus, and Diltiazem: Cohort Study in English National Health Service Primary Care

Impact of Electronic Health Record Interface Design on Unsafe Prescribing of Ciclosporin, Tacrolimus, and Diltiazem: Cohort Study in English National Health Service Primary Care

This imports openly accessible prescribing data from the large monthly files published by the NHS Business Services Authority, which contain data on cost and items prescribed for each month, for every typical general practice and CCG in England since mid-2010 until May 2019 [9]. The monthly prescribing datasets contain one row for each different medication and dose, in each prescribing organization in NHS primary care in England, describing the number of items (ie, prescriptions issued) and the total cost.

Brian John MacKenna, Sebastian Bacon, Alex J Walker, Helen J Curtis, Richard Croker, Ben Goldacre

J Med Internet Res 2020;22(10):e17003