Variation in Formulary Management Practices Within the Department of Veterans Affairs Health Care System

Assessing oncology providers attitudes and practices toward nonformulary drugs and mapping current obstacles in Saudi Arabia

Introduction

Formulary drug list is a continually updated list of medications routinely stocked by hospitals and other healthcare facilities and deemed effective, safe, and cost saving. Non-formulary drug (NFD) refers to medications not on the formulary, due to cost or lack of clinical data. This study aimed to examine the processing of NFD requests by oncology providers (OPs) in Saudi Arabia.

Method

A cross-sectional survey in Saudi oncology centers gathered perspectives of healthcare practitioners, mainly oncology pharmacists and physicians, on NFDs and request processes, aiming to understand variations, reasons for NFDs, and suggestions for an improved, unified NFDs request algorithm.

Result

A total of 93 physicians and pharmacists responded, 57 % were pharmacists, 43 % were physicians, and 94.6 % worked in the governmental sector. Around 31.2 % reported that it takes one week to receive a decision on their NFD request, while 28 % reported it takes two weeks to one month. Furthermore, 35.5 % of participants reported that the complete NFD process, from the initial order placement to the receipt of medications, spans a duration of 2-4 months, while 8.6 % noted a longer duration exceeding six months. The participants reported that the most common obstacles while requesting NFD were procurement delays and lengthy processing times. Additionally, 26.9 % agreed that formulary restrictions hindered medical care and 40.3 % reported delays in patient care. While 33.8 % were forced to use fewer effective options, and 22.1 % referred patients to palliative care.

Conclusion

The current practice of NFDs has negative consequences on cancer patient outcomes due to delays in patient care or the use of less effective drugs. Thus, we recommend having a national NFD access program.

Lipid-Lowering Therapy Use and Intensification Among United States Veterans Following Myocardial Infarction or Coronary Revascularization Between 2015 and 2019

BACKGROUND

Understanding how statins, ezetimibe, and PCSK9i (proprotein convertase subtilisin/kexin type 9 serine protease inhibitors) are prescribed after a myocardial infarction (MI) or elective coronary revascularization may improve lipid-lowering therapy (LLT) intensification and reduce recurrent atherosclerotic cardiovascular disease events. We described the use and intensification of LLT among US veterans who had a MI or elective coronary revascularization between July 24, 2015, and December 9, 2019, within 12 months of hospital discharge.

METHODS

LLT intensification was defined as increasing statin dose, or initiating a statin, ezetimibe, or a PCSK9i, overall and among those with an LDL-C (low-density lipoprotein cholesterol) ≥70 or 100 mg/dL. Poisson regression was used to determine patient characteristics associated with a greater likelihood of LLT intensification following hospitalization for MI or elective coronary revascularization.

RESULTS

Among 81 372 index events (mean age, 69.0 years, 2.3% female, mean LDL-C 89.6 mg/dL, 33.8% with LDL-C <70 mg/dL), 39.7% were not taking any LLT, and 22.0%, 37.2%, and 0.6% were taking a low-moderate intensity statin, a high-intensity statin, and ezetimibe, respectively, before MI/coronary revascularization during the study period. Within 14 days, 3 months, and 12 months posthospitalization, 33.3%, 41.9%, and 47.3%, respectively, of veterans received LLT intensification. LLT intensification was most common among veterans taking no LLT (82.5%, n=26 637) before MI/coronary revascularization. Higher baseline LDL-C, having a lipid test, and attending a cardiology visit were each associated with a greater likelihood of LLT intensification, while age ≥75 versus <65 years was associated with a lower likelihood of LLT intensification within 12 months posthospitalization.

CONCLUSIONS

Less than half of veterans received LLT intensification in the year after MI or coronary revascularization suggesting a missed opportunity to reduce atherosclerotic cardiovascular disease risk.

Impact of switching to infliximab biosimilars on treatment patterns among US veterans receiving innovator infliximab

OBJECTIVE

To compare treatment patterns of United States (US) veterans stable on innovator infliximab (IFX) who switched to an IFX biosimilar (switchers) or remained on innovator IFX (continuers).

METHODS

US Veterans Healthcare Administration data (01/2012-12/2019) were used to identify adults with rheumatoid arthritis (RA), psoriatic arthritis (PsA), plaque psoriasis (PsO), ankylosing spondylitis (AS), or Crohn's disease and ulcerative colitis (i.e. inflammatory bowel disease [IBD]), treated with innovator or biosimilar IFX. Index date was the first IFX biosimilar administration for switchers or a random innovator IFX administration for continuers. Patients were required to have ≥5 innovator IFX administrations during the 12 months pre-index (prevalent population). Patients with ≥12 months of observation prior to the first innovator IFX administration were analyzed as the primary population (incident population), and data were assessed from start of innovator IFX. Inverse probability of treatment weighting was used to balance baseline characteristics between cohorts. Treatment patterns were evaluated post-index; continuers were censored before switching to IFX biosimilar. Discontinuation was defined as switching to another biologic (including innovator IFX) or having ≥120 days between 2 consecutive index treatment records.

RESULTS

In the incident population, mean [median] duration of follow-up was 737 [796] days among switchers (N = 838) and 479 [337] days among continuers (N = 849). Compared to continuers, switchers were 2.88-times more likely to discontinue index therapy (hazard ratio [HR] = 2.88, p < .001) and 4.99-times more likely to switch to another innovator biologic (HR = 4.99, p < .001). Of 653 switchers switching to another innovator biologic, 594 (91.0%) switched back to innovator IFX. Results were similar among the prevalent population and RA and IBD subgroups.

CONCLUSION

Patients switching from innovator to biosimilar IFX were more likely to discontinue treatment and switch to another innovator biologic (notably back to innovator IFX) than those remaining on innovator IFX; however, reasons for discontinuation and switching are unknown.

Personal Formularies of Primary Care Physicians Across 4 Health Care Systems

IMPORTANCE

More conservative prescribing has the potential to reduce adverse drug events and patient harm and cost; however, no method exists defining the extent to which individual clinicians prescribe conservatively. One potential domain is prescribing a more limited number of drugs. Personal formularies-defined as the number and mix of unique, newly initiated drugs prescribed by a physician-may enable comparisons among clinicians, practices, and institutions.

OBJECTIVES

To develop a method of defining primary care physicians' personal formularies and examine how they differ among primary care physicians at 4 institutions; evaluate associations between personal formularies and patient, physician, and practice site characteristics; and empirically derive and examine the variability of the top 200 core drugs prescribed at the 4 sites.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study was conducted at 4 US health care systems among 4655 internal and family medicine physicians and 4 930 707 patients who had at least 1 visit to these physicians between January 1, 2017, and December 31, 2018.

EXPOSURES

Personal formulary size was defined as the number of unique, newly initiated drugs.

MAIN OUTCOMES AND MEASURES

Personal formulary size and drugs used, physician and patient characteristics, core drugs, and analysis of selected drug classes.

RESULTS

The study population included 4655 primary care physicians (2274 women [48.9%]; mean [SD] age, 48.5 [4.4] years) and 4 930 707 patients (16.5% women; mean [SD] age, 51.9 [8.3] years). There were 41 378 903 outpatient prescriptions written, of which 9 496 766 (23.0%) were new starts. Institution median personal formulary size ranged from 150 (interquartile range, 82.0-212.0) to 296 (interquartile range, 230.0-347.0) drugs. In multivariable modeling, personal formulary size was significantly associated with panel size (total number of unique patients with face-to-face encounters during the study period; 1.2 medications per 100 patients), physician's total number of encounters (5.7 drugs per 10% increase), and physician's sex (-6.2 drugs per 100 patients for female physicians). There were 1527 unique, newly prescribed drugs across the 4 sites. Fewer than half the drugs (626 [41.0%]) were used at every site. Physicians' prescribing of drugs from a pooled core list varied from 0% to 100% of their prescriptions.

CONCLUSIONS AND RELEVANCE

Personal formularies, measured at the level of individual physicians and institutions, reveal variability in size and mix of drugs. Similarly, defining a list of commonly prescribed core drugs in primary care revealed interphysician and interinstitutional differences. Personal formularies and core medication lists enable comparisons and may identify outliers and opportunities for safer and more appropriate prescribing.

Statin discontinuation and new antipsychotic use after an acute hospital stay vary by hospital

Introduction

Patients are at risk for medication problems after hospital admissions, particularly those with critical illness. Medication problems include continuation of acute medications and discontinuation of chronic medications after discharge. Little is known across a national integrated health care system about the extent of these two medication problems.

Objective

To examine the extent of statin medication discontinuation and new antipsychotic medication use after hospital discharge.

Design

Retrospective cohort study.

Setting

Veterans Affairs healthcare system.

Participants

Veterans with an inpatient hospitalization from January 1, 2014-December 31, 2016, survived at least 180 days post-discharge, and received at least one medication through the VA outpatient pharmacy within one year around admission were included. Hospitalizations were grouped into: 1) direct admission to the intensive care unit (ICU) and a diagnosis of sepsis, 2) direct admission to the ICU without sepsis diagnosis, and 3) no ICU stay during the hospitalization.

Main outcome measures

Statin medication discontinuation and new antipsychotic use at six months post-hospital discharge.

Results

A total of 520,187 participants were included in the statin medication and 910,629 in the antipsychotic medication cohorts. Statin discontinuation ranged from 10–15% and new antipsychotic prescription fills from 2–4% across the three hospitalization groups, with highest rates in the ICU admission and sepsis diagnosis group. Statin discontinuation and new antipsychotic use after a hospitalization varied by hospital, with worse performing hospitals having 11% higher odds of discontinuing a statin (median odds ratio at hospital-level, adjusted for patient differences, aMOR: 1.11 (95% CI: 1.09, 1.13)) and 29% higher odds of new antipsychotic use (aMOR, 1.29 (95% CI: 1.24, 1.34)). Risk-adjusted hospital rates of these two medication changes were not correlated (p = 0.49).

Conclusions

Systemic variation in the rates of statin medication continuation and new antipsychotic use were found.