Do male and female general practitioners differently prescribe chronic pain drugs to older patients?

Interspecialty Opioid Prescribing Patterns in Ophthalmology Following Declaration of a Public Health Emergency

Purpose: Previous literature has investigated opioid prescription trends in ophthalmology at large, however, little has been done looking at differences between subspecialties. We evaluate if significant trends exist among subspecialties in opioid prescribing patterns. This study aims to illuminate potential over-usage of opioids in ophthalmology that could compromise patient quality of life. Methods: Medicare data and "National Plan and Provider Enumeration System (NPPES) Downloadable File" were queried for cases of ophthalmologists with nonsuppressed opioid prescription data from 2014 to 2019. Ophthalmologists with no subspecialty code or missing regional, gender, degree, or graduation information were excluded. Chi-squared analysis, analysis of variance, t-tests, and multivariate logistic regression were utilized. Results: Five thousand one hundred forty-three physician records were included in analysis, 450 of which were by cornea subspecialists. Most cornea cases were male, graduated before 2005, and practiced in the South. All subspecialties had a significantly increased likelihood of making opioid claims and higher prescription rates compared with cornea (P < 0.050) besides glaucoma (P = 0.357). Only oculoplastics had significantly increased likelihood of greater total supply of opioids compared with cornea (odds ratio [OR] = 22.195, 95% confidence interval [CI] = 12.209-40.350, P < 0.001), while pediatrics (OR = 4.036, 95% CI = 1.377-11.831, P = 0.011) and neuro-ophthalmology (OR = 4.158, 95% CI = 1.237-13.975, P = 0.021) in addition to oculoplastics (OR = 64.380, 95% CI = 26.306-157.560, P < 0.001) were predicted to have significantly greater opioid beneficiaries. Males, the South/Midwest, and graduating before 2005, all were generally associated with increased likelihood of greater total opioid claims, supply, beneficiaries, and prescription rate (P < 0.050). Conclusion: Subspecialty, demographic, chronological, and regional trends exist for opioid prescribing patterns in ophthalmology.

Latent Class Analysis of Prescribing Behavior of Primary Care Physicians in the Veterans Health Administration

BACKGROUND

Benzodiazepines, opioids, proton-pump inhibitors (PPIs), and antibiotics are frequently prescribed inappropriately by primary care physicians (PCPs), without sufficient consideration of alternative options or adverse effects. We hypothesized that distinct groups of PCPs could be identified based on their propensity to prescribe these medications.

OBJECTIVE

To identify PCP groups based on their propensity to prescribe benzodiazepines, opioids, PPIs, and antibiotics, and patient and PCP characteristics associated with identified prescribing patterns.

DESIGN

Retrospective cohort study using VA data and latent class regression analyses to identify prescribing patterns among PCPs and examine the association of patient and PCP characteristics with class membership.

PARTICIPANTS

A total of 2524 full-time PCPs and their patient panels (n = 2,939,636 patients), from January 1, 2017, to December 31, 2018.

MAIN MEASURES

We categorized PCPs based on prescribing volume quartiles for the four drug classes, based on total days' supply dispensed of each medication by the PCP to their patients (expressed as days' supply per 1000 panel patient-days). We used latent class analysis to group PCPs based on prescribing and used multinomial logistic regression to examine patient and PCP characteristics associated with latent class membership.

KEY RESULTS

PCPs were categorized into four groups (latent classes): low intensity (23% of cohort), medium-intensity overall/high-intensity PPI (36%), medium-intensity overall/high-intensity opioid (20%), and high intensity (21%). PCPs in the high-intensity group were predominantly in the highest quartile of prescribers for all four drugs (68% in the highest quartile for benzodiazepine, 86% opioids, 64% PPIs, 62% antibiotics). High-intensity PCPs (vs. low intensity) were substantially less likely to be female (OR: 0.30, 95% CI: 0.21-0.42) or practice in the northeast versus other census regions (OR: 0.10, 95% CI: 0.06-0.17).

CONCLUSIONS

VA PCPs can be classified into four clearly differentiated groups based on their prescribing of benzodiazepines, opioids, PPIs, and antibiotics, suggesting an underlying typology of prescribing. High-intensity PCPs were more likely to be male.

Physician Gender and Its Association With Patient Satisfaction and Visit Length: An Observational Study in Telemedicine

Introduction

Female physicians conduct longer visits than male physicians, with negative implications for their compensation. Yet patients often report higher satisfaction with female physicians. It is unknown whether satisfaction scores for female physicians are associated with their visit lengths. Our objective was to characterize the role of the physician and patient gender with respect to visit length and patient satisfaction.

Methods

We conducted an observational cohort study with patients and physicians of a nationwide telemedicine service between 2016 and 2018. Visit length was measured by the telemedicine system. Patients rated physicians on scales of one to five stars, with five considered “top box” satisfaction. We used logistic regression to estimate differences in patient satisfaction and linear regression to estimate differences in visit length by the physician and patient gender. We tested interactions between physician and patient gender and accounted for clustering by the physician.

Results

Among 102,664 visits with 405 physicians, the mean visit length was 5.8 minutes. Visits with male physicians were 1.11 minutes shorter than those with female physicians (95% CI:-1.58, -0.65). Controlling for visit length, male physicians were less likely than female physicians to receive top-box satisfaction scores (OR: 0.72; 95% CI: 0.61, 0.85). Visits between female physicians and male patients were the longest and visits between male physicians and female patients were the shortest. Female physicians had longer visits than male physicians but this did not explain their higher satisfaction scores.

Conclusions

To reduce inequity in compensation resulting from differences in visit length, female physicians could shorten their visits without negative consequences for their satisfaction ratings.

Influence of Physician Sex and Gender on Prescribing Practices Among Older Adults

Although prescribing is the most common intervention provided by physicians, limited research has examined the role of physician sex and gender on prescribing practices. In this article, we briefly summarize research relating to differences in prescribing behaviors based on physician sex and gender. To identify articles, PubMed was searched for studies from the last 20 years reporting on prescribing differences by physician sex or gender for the general population and specifically for older adults. We describe major themes emerging from the studies, illustrate findings from key studies, and note the major gaps in the literature, notably the lack of evidence on prescribing for older adults. Given the paucity of research in this area, we also explore evidence on the impact of physician sex and gender on other aspects of healthcare delivery, such as communication within the patient-physician relationship, and consider how these findings may also apply to prescribing behaviors. In general, we note that female physicians have been observed to engage in more careful and conservative healthcare provision including prescribing. A careful and conservative approach to prescribing may reduce the incidence of adverse drug events in older adults and be linked to a more patient-centered approach to care. To what extent these differences in prescribing are important for patient health outcomes is unknown, and further research is required to identify optimal prescribing practices that minimize harms.

Antibiotic prescribing for common infections in UK general practice: variability and drivers

Objectives

To examine variations across general practices and factors associated with antibiotic prescribing for common infections in UK primary care to identify potential targets for improvement and optimization of prescribing.

Methods

Oral antibiotic prescribing for common infections was analysed using anonymized UK primary care electronic health records between 2000 and 2015 using the Clinical Practice Research Datalink (CPRD). The rate of prescribing for each condition was observed over time and mean change points were compared with national guideline updates. Any correlation between the rate of prescribing for each infectious condition was estimated within a practice. Predictors of prescribing were estimated using logistic regression in a matched patient cohort (1:1 by age, sex and calendar time).

Results

Over 8 million patient records were examined in 587 UK general practices. Practices varied considerably in their propensity to prescribe antibiotics and this variance increased over time. Change points in prescribing did not reflect updates to national guidelines. Prescribing levels within practices were not consistent for different infectious conditions. A history of antibiotic use significantly increased the risk of receiving a subsequent antibiotic (by 22%–48% for patients with three or more antibiotic prescriptions in the past 12 months), as did higher BMI, history of smoking and flu vaccinations. Other drivers for receiving an antibiotic varied considerably for each condition.

Conclusions

Large variability in antibiotic prescribing between practices and within practices was observed. Prescribing guidelines alone do not positively influence a change in prescribing, suggesting more targeted interventions are required to optimize antibiotic prescribing in the UK.

Exploring Clinical Care Among Adults With Diabetes Mellitus: Alignment With Recommended Statin and Sulfonylureas Treatment

OBJECTIVES

The care of patients with diabetes mellitus (DM), compiled in the 2008 Canadian Diabetes Association clinical practice guidelines and in recommendations from the Choosing Wisely Canada program, is informed by a large body of evidence. This study sought to assess to what extent primary care providers (PCPs) incorporate recommended statin and sulfonylureas treatment in their care of patients with DM, and to identify the association between use of recommended care and PCP characteristics.

METHODS

This retrospective cohort study (2007-2017) used electronic medical records of 21,149 patients with DM receiving care from 240 PCPs participating in the Manitoba Primary Care Research Network.

RESULTS

PCPs prescribed statins to patients newly diagnosed with DM who were ≥40 years of age 41% of the time, with 45% of the prescriptions occurring ≤180 days after a new diagnosis (early treatment). PCPs least likely to prescribe recommended statin treatment had higher odds of being older (adjusted odds ratio [aOR], 1.05; 95% confidence interval [CI], 1.01 to 1.09) and fee-for-service funded (aOR, 4.36; 95% CI, 1.47 to 12.91). In addition, older PCPs (aOR, 1.06; 95% CI, 1.02 to 1.10) and women (aOR, 2.42; 95% CI, 1.11 to 5.28) were less likely to prescribe statin treatment early. Seventy-four percent of PCPs prescribed sulfonylureas to adults ≥65 years of age. No PCP characteristics were associated with prescription of sulfonylureas in the lower implementation quartile in the fully adjusted model.

CONCLUSIONS

Results suggest that PCPs' practice does not always align with current evidence-based clinical guidelines or Choosing Wisely Canada recommendations for patients with DM. Some PCP's characteristics were associated with lower implementation of recommended evidence-based care. This information can help guide future targeted medical education.

Determinants of inappropriate acute pain management in old people unable to communicate verbally in the emergency department

Objectives

Poor pain management is relevant among individuals unable to communicate verbally (UCV). Analgesia may be due to three determinants: patients' status, physician's characteristics and pain etiology. Our aim is to investigate the association between prescription of ED pain treatment and these determinants.

Materials and Methods

An observational prospective study including UCV patients was conducted. Severity of pain was evaluated by ALGOPLUS Scale and a score P ≥ 2 out of 5 on the pain scale was retained as the threshold for the presence of acute pain in elderly UCV patients.

Results

Our data showed that only 31,9% of UCV patients received a pharmacological treatment. The presence of the caregiver would influence the rate of therapy administration [OR 6,19 (95% CI 2,6–14,75)]. The presence of leg pain [OR 0,32 (95% CI 0,12–0,86)] and head pain [OR 0,29 (95% CI 0,10–0,84)] were less likely associated to receive analgesia. Pain related to trauma [OR 4.82 (95% CI 1.17 to 19.78)] and youngest physicians [OR 1.08 (95% CI 1.001 to 1.18)] were variables associated with the administration of drugs opiates.

Discussion

Older UCV patients presenting to the ED with pain are at high risk of inadequate analgesia. Providers should always suspect presence of pain and an increasing need for behavioural pain evaluation is necessary for a complete assessment.

Conclusions

Presence of a caregiver influences a more appropriate pain management in these patients. Staff training on pain management could result in better assessment, treatment, and interaction with caregivers.