Greetings from the editor 2020

Determinants of prescribing decisions for off-patent biological medicines in Belgium: a qualitative study

BACKGROUND

A competitive market for off-patent biologicals leads to more affordable and high-quality healthcare. In recent years, Belgium has been characterized by its low use of biosimilars and by its shifts from off-patent biologicals toward new alternative therapies. Yet, the prescribing decisions involved in these observations are poorly understood. This study aims to better understand prescribing choices among Belgian physicians in the ambulatory care setting.

METHODS

This study consisted of two phases. First, a scoping literature review to identify determinants of prescribing choices was conducted. Scientific databases (Embase and PubMed) were searched until 4 November 2021. Second, the nominal group technique (NGT) was employed during focus group discussions with Belgian physicians to consider and validate these determinants for off-patent biologicals in the Belgian context. The qualitative data resulting from the literature review and focus group discussions were analyzed using the thematic framework method.

RESULTS

Fifty-three scientific articles that discussed elements that determine prescribing choices were identified. Out of these, 17 determinants of prescribing choices were found. These were divided into five categories: (1) product-related, (2) physicians' personal, (3) healthcare system-related, (4) patient-related, and (5) determinants related to the pharmaceutical company or brand. Nineteen Belgian physicians from different therapeutic areas that regularly prescribe biologicals then participated in focus group discussions. Using the NGT, the group discussions revealed that prescribing choices for off-patent biologicals are determined by a complex set of elements. Clinical data, geographical region, working environment, pharmaceutical marketing, patient profile, clinical guidelines, and preference of key opinion leaders (KOL) were considered most influential. Physicians indicated that the importance of these determinants differs depending on product classes or therapeutic domain.

CONCLUSIONS

Multiple elements determine the choice of an off-patent biological or biosimilar product. The importance of each of these determinants varies depending on the context in which the prescribing choice is made. To increase the prescription of best-value biologicals in the Belgian ambulatory care, a set of synergistic measures is required including information for healthcare providers (HCP) and patients, prescribing feedback, prescribing targets, tangible incentives, KOL involvement, guidelines regarding pharmaceutical promotion, and regular revision of reimbursement modalities.

Models of care for low back pain patients in primary healthcare: a scoping review protocol

INTRODUCTION

Low back pain (LBP) is the most prevalent musculoskeletal condition worldwide and it is responsible for high healthcare costs and resources consumption. It represents a challenge for primary care services that struggle to implement evidence-based practice. Models of care (MoCs) are arising as effective solutions to overcome this problem, leading to better health outcomes. Although there is growing evidence regarding MoCs for the management of LBP patients, an analysis of the existing body of evidence has not yet been carried out. Therefore, this scoping review aims to identify and map the current evidence about the implementation of MoCs for LBP in primary healthcare. Findings from this study will inform policy makers, health professionals and researchers about their characteristics and outcomes, guiding future research and best practice models.

METHODS AND ANALYSIS

This protocol will follow the Joanna Briggs Institute methodological guidelines for scoping reviews. Studies that implemented an MoC for LBP patients in primary healthcare will be included. Searches will be conducted on PubMed, EMBASE, Cochrane Central Register of Controlled Trials, PEDro, Scopus, Web of Science, grey literature databases and relevant organisations websites. This review will consider records from 2000, written in English, Portuguese or Spanish. Two researchers will independently screen all citations and full-text articles and abstract data. Data extracted will include the identification of the MoC, key elements of the intervention, organisational components, context-specific factors and patient-related, system-related and implementation-related outcomes.

ETHICS AND DISSEMINATION

As a secondary analysis, this study does not require ethical approval. It will provide a comprehensive understanding on existing MoCs for LBP, outcomes and context-related challenges that may influence implementation in primary healthcare, which is meaningful knowledge to inform future research in this field. Findings will be disseminated through research papers in peer-reviewed journals, presentations at relevant conferences and documentation for professional organisations and stakeholders.

High alert drugs screening using gradient boosting classifier

Prescription errors in high alert drugs (HAD), a group of drugs that have a high risk of complications and potential negative consequences, are a major and serious problem in medicine. Standardized hospital interventions, protocols, or guidelines were implemented to reduce the errors but were not found to be highly effective. Machine learning driven clinical decision support systems (CDSS) show a potential solution to address this problem. We developed a HAD screening protocol with a machine learning model using Gradient Boosting Classifier and screening parameters to identify the events of HAD prescription errors from the drug prescriptions of out and inpatients at Maharaj Nakhon Chiang Mai hospital in 2018. The machine learning algorithm was able to screen drug prescription events with a risk of HAD inappropriate use and identify over 98% of actual HAD mismatches in the test set and 99% in the evaluation set. This study demonstrates that machine learning plays an important role and has potential benefit to screen and reduce errors in HAD prescriptions.

Paediatric inflammatory multisystem syndrome temporally associated with COVID-19 (PIMS-TS): a narrative review and the viewpoint of the Latin American Society of Pediatric Intensive Care (SLACIP) Sepsis Committee

Background

In this review, we discuss some important aspects of paediatric inflammatory multisystem syndrome temporally associated with COVID-19 (PIMS-TS), a new syndrome that is temporally related to previous exposure to SARS-CoV-2 infection. This virus has a broad spectrum of presentation that may overlap with Kawasaki disease in terms of presenting symptoms and laboratory and cardiac findings. Our objective was to review and summarise published evidence regarding the most important aspects of PIMS-TS, with special emphasis on the treatment strategies suggested for middle-income and low-income countries.

Methods

A systematic review of the literature was performed in the principal medical databases including PubMed, Embase (OVID) and Google Scholar between December 2019 and August 2020.

Results

A total of 69 articles were identified in the described databases. Altogether, 13 articles met the inclusion criteria and were eligible. The most frequently described symptoms of PIMS-TS include fever (82%), shock (67%) and gastrointestinal (87%), skin (71%) and cardiac disorders (75%). In most series, it has been observed between 4 and 6 weeks after the pandemic appears in the general population. Multisystem inflammatory syndrome in children is presented as a great systemic inflammatory response syndrome, which sometimes presents as shock requiring fluid resuscitation and vasoactive drug support (26%). Several treatment strategies have been used, including immunoglobulin, steroids, aspirin, anakinra and anticoagulation among others. These general and specific interventions should be guided by an interdisciplinary and multidisciplinary team, especially in settings with limited resources.

Conclusions

PIMS-TS COVID-19 is a new type of presentation of SARS-CoV-2 infection, with an exaggerated inflammatory response and frequent-but not exclusive-digestive and myocardial involvement. It is important to describe the clinical course and outcomes in countries with limited resources as well as establish the role of biomarkers for early diagnosis, effective therapeutic strategies and outpatient follow-up schemes.

Chebulanin exerts its anti-inflammatory and anti-arthritic effects via inhibiting NF-κB and MAPK activation in collagen-induced arthritis mice

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease characterized by synovial inflammation and progressive joint destruction. Chebulanin is a natural polyphenol acid isolated from the traditional Tibetan medicine Terminalia chebula Retz that has previously been reported to possess anti-inflammatory properties. The present study aimed to investigate the anti-inflammatory and anti-arthritic effects of chebulanin and explore its underlying mechanisms in vivo and in vitro using a collagen-induced arthritis (CIA) mouse model and lipopolysaccharide (LPS) stimulated RAW264.7 cell inflammation model. Arthritis severity scores were assessed twice weekly; the levels of cytokines interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) in serum were detected using enzyme-linked immunosorbent assay kits; histopathological assessment was performed using micro computed tomography and hematoxylin and eosin staining. Activation of nuclear factor kappa B (NF-κB) and mitogen-activated protein kinase (MAPK) signaling pathways were assessed using western blotting. The inhibition of translocation of cytosolic p38 and p65 into the nucleus was observed using immunofluorescence staining and western blotting in vitro. Chebulanin significantly suppressed the progression and development of RA in CIA mice by decreasing the arthritis severity scores, attenuating paw swelling and joint destruction, and reducing the levels of IL-6 and TNF-α significantly (p < 0.05). Furthermore, chebulanin reduced the levels of excised phosphorylated (p)-p38, phosphorylated-c-JUN N-terminal kinase (p-JNK), p-p65 and phosphorylated NF-κB inhibitor alpha (p-IκBα) in CIA mice, but did not affect the level of phosphorylated extracellular-signal-regulated kinase (ERK). In addition, chebulanin could inhibit the nuclear translocation of p38 and p65 in LPS-stimulated macrophages in dose-dependent manner. In conclusion, this study demonstrated that chebulanin exerts anti-inflammatory and anti-arthritic effects by inhibiting the activation of NF-κB and MAPK signaling pathways.

Real-World Analysis of Therapeutic Patterns in Patients Affected by Rheumatoid Arthritis in Italy: A Focus on Baricitinib

Introduction

The objective of this study was to evaluate treatment patterns in patients with rheumatoid arthritis (RA), with a focus on the utilization of baricitinib, an oral highly selective Janus kinase 1 and 2 inhibitor, in an Italian real-world setting.

Methods

This observational retrospective analysis was based on data collected in selected Italian administrative databases. Patients aged ≥ 18 years with a diagnosis of RA defined by hospitalization discharge diagnosis (International Classification of Diseases, Ninth Revision, Clinical Modification code 714.0) or by disease exemption code 006 for RA in 2018 were included. The index date (ID) was defined as the date of first prescription for a drug indicated for RA during the inclusion period. Patients without a prescription for biologic/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) before the ID were considered to be b/tsDMARD naïve. A further analysis was performed on patients only receiving baricitinib.

Results

A total of 41,290 RA patients were enrolled, of whom 55.6% were not treated with conventional synthetic DMARDs (csDMARDs) or b/tsDMARDs, 39.4% were receiving therapy with csDMARDs, and 5.0% were using b/tsDMARDs. In the latter group, 2.7% (n = 56) were receiving therapy with baricitinib. In 2018, 13.2% of csDMARD-treated patients switched to b/tsDMARDs, of whom 4.3% (n = 93) of these switched to baricitinib. In total, 149 patients (mean age ± standard deviation 57.6 ± 12.1; 12.8% male) had a baricitinib prescription, of whom 51% were b/tsDMARD naïve. At baseline, 61.7% of baricitinib users were receiving combination therapy with csDMARDs plus corticosteroids, 26.2% were receiving combination therapy with corticosteroids, and 8.1% were receiving combination therapy with csDMARDs; 4% were receiving baricitinib monotherapy. During follow-up, the proportion of patients receiving baricitinib monotherapy increased to 38.9%, while 26.9, 18.8, and 15.4% of baricitinib users received combination therapy with corticosteroids, csDMARDs plus corticosteroids, and csDMARDs, respectively.

Conclusion

This study provides a current view of the treatment patterns in Italian patients with RA in a real-world setting of daily clinical practice, with a focus on baricitinib utilization.

Electronic Supplementary Material

The online version of this article (10.1007/s40744-020-00218-3) contains supplementary material, which is available to authorized users.