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Biologic medicine inclusion in 138 national essential medicines lists

Abstract

Background

Essential medicines lists (EMLs) are intended to reflect the priority health care needs of populations. We hypothesized that biologic disease-modifying antirheumatic drugs (DMARDs) are underrepresented relative to conventional DMARDs in existing national EMLs. We aimed to survey the extent to which biologic DMARDs are included in EMLs, to determine country characteristics contributing to their inclusion or absence, and to contrast this with conventional DMARD therapies.

Methods

We searched 138 national EMLs for 10 conventional and 14 biologic DMARDs used in the treatment of childhood rheumatologic diseases. Via regression modelling, we determined country characteristics accounting for differences in medicine inclusion between national EMLs.

Results

Eleven countries (7.97%) included all 10 conventional DMARDs, 115 (83.33%) ā‰„5, and all countries listed at least one. Gross domestic product (GDP) per capita was associated with the total number of conventional DMARDs included (Ī²11.02 [95% CI 0.39, 1.66]; Pā€‰=ā€‰0.00279). Among biologic DMARDs, 3 countries (2.2%) listed ā‰„10, 15 (10.9%) listed ā‰„5, and 47 (34.1%) listed at least one. Ninety-one (65.9%) of countries listed no biologic DMARDs. European region (Ī²1 1.30 [95% CI 0.08, 2.52]; Pā€‰=ā€‰0.0367), life expectancy (Ī²1ā€“0.70 [95% CI -1.22, āˆ’ā€‰0.18]; Pā€‰=ā€‰0.0085), health expenditure per capita (Ī²1 1.83 [95% CI 1.24, 2.42]; Pā€‰<ā€‰0.001), and conventional DMARDs listed (Ī²1 0.70 [95% CI 0.33, 1.07]; Pā€‰<ā€‰0.001) were associated with the total number of biologic DMARDs included.

Conclusion

Biologic DMARDs are excluded from most national EMLs. By comparison, conventional DMARDs are widely included. Countries with higher health spending and longer life expectancy are more likely to list biologics.

Background

Rare diseases, by definition affecting small numbers of people relative to the general population (varying thresholds of maximal prevalence range from 5 to 76 per 100,000) and associated with specific issues relating to their rarity, represent an ever-growing subset of illness globally [1,2,3]. Recently, 6172 unique rare diseases were identified with an pooled global point prevalence of 3.5ā€“5.9%, translating to 263ā€“446 million affected persons worldwide [3]. More than half of rare diseases manifest in childhood with potentially disabling or even fatal consequence [2, 3]. All pediatric-onset rheumatologic conditions can be considered rare. Juvenile idiopathic arthritis (JIA), the most common rheumatologic disease in children, has a pooled prevalence of 45 per 100,000 [4, 5]. We employ JIA as a prototype for childhood rheumatologic disease, which broadly encompasses JIA, systemic lupus erythematosus (SLE), Sjƶgren syndrome, idiopathic inflammatory myopathies (namely juvenile dermatomyositis, or JDM), systemic and localized sclerodermas, systemic vasculitides, sarcoidosis, and autoinflammatory syndromes (among others).

Historically, conventional disease-modifying antirheumatic drugs (DMARDs) have provided the basis for therapy of pediatric systemic inflammatory disease. The advent of targeted biologic DMARD therapies has spurred a paradigm shift in the disease outcomes, patient experience, and prognosis of JIA and other rheumatologic conditions. Outcomes have improved dramatically resulting in increased survival and quality of life [6]. Additionally, biologic DMARD therapiesā€”although costlyā€”may be cost-effective in childhood rheumatologic disease: tumor necrosis factor (TNF) inhibitors for the treatment of JIA and JIA-associated uveitis, for example, are potentially cost-effective from a health payer perspective [7, 8]. Regulatory approval and public funding of drugs is typically dependent on support from randomized clinical trials allowing for cost-effectiveness analyses. In rare conditions, however, such data are limited or non-existent [9]. Thus, as biologic DMARDs are increasingly employed with life-changing effect, gaps in both public and private drug funding are exposed.

The World Health Organization (WHO) developed the Model list of essential medicines (WHO EML) ā€œintended to meet the priority health care needs of a populationā€ in 1977, an influential template since adapted by countries worldwide [10]. Subsequently, the WHO released a model list specifically delineating essential medicines for children (WHO EMLc) [11]. These essential medicines lists (EMLs) to guide countriesā€™ selection of drugs to fund, stock, prescribe, and dispense [12, 13]. The Lancet Commission, ā€œEssential medicines for universal health coverage,ā€ affirms that countries ā€œmust implement a comprehensive set of policies to achieve affordable prices ā€¦ā€ and equity in access [13]. A unique database of 138 national EMLs (71% of 195 countries) and associated country characteristics was recently compiled and demonstrates significant variation between countries in included medicines [12, 13]. We hypothesized that biologic DMARDs are underrepresented relative to conventional DMARDs in the model WHO and existing national EMLs. We therefore aimed to survey the extent to which biologic medications with primary applications in childhood inflammatory disease are included in EMLs globally, to determine country characteristics contributing to their inclusion or absence, and to contrast this with conventional DMARD therapies.

Methods

Data collection processes

We made use of a previously compiled database (initially constructed in June 2017, most recently updated in January 2020). To briefly summarize the initial data collection processes:

The WHO essential medicines and health products information portal, an online repository of publications of medicines and health products relevant to WHO priorities, was searched for updated versions of national EMLs. All EMLs were included irrespective of publication date and language. A data extraction method was then developed to query specific medicines within these compiled lists (from each countryā€™s EML, medicines were manually extracted using International Nonproprietary Names). Country characteristics (WHO region; population size; life expectancy; infant mortality; gross domestic product [GDP] per capita; health care expenditure per capita; Gini index as a measure of income inequality; and the corruption perception index) were collected. Note that national EMLs include medicines for both adults and children and listing decisions may be related to total population; therefore, we collected total rather than pediatric population data. Details of the sources of these characteristics are outlined in the original publication [12].

Although the initial database construction accounted for potential redundancies in medicines (i.e. medicines considered therapeutically equivalent), this was not relevant to our analysis, as we queried only specific medicines with well-established applications in pediatric systemic inflammatory disease as below.

Selection of medicines of interest

We sought to include all systemic biologic and conventional DMARDs in routine clinical use for the treatment of JIA, SLE, JDM, scleroderma, systemic vasculitides, and autoinflammatory disorders. We supported the selection of medicines by relevant clinical guidelines as cited below (pediatric-specific guidelines are referenced when available; note that many medicines employed in pediatric rheumatology settings are not supported by pediatric-specific clinical trials and are therefore administered ā€œoff-labelā€). We excluded certain novel medicines (e.g., Janus kinase [JAK] inhibitors) given their limited clinical use (Table 1).

Table 1 Selected medicines of interest

Data analysis

For descriptive data, we calculated medians with interquartile ranges (IQRs).

Comparison between countries

To determine whether country characteristics accounted for differences in medicine inclusion between countries, we created a linear regression model with the total number of included medicines as the dependent variable and the following characteristics as independent variables: WHO region, population size, life expectancy, GDP per capita, and health expenditure per capita. We fitted separate regression models for biologic and conventional DMARDs. In addition to the above variables, we included the number of conventional DMARDs on a countryā€™s EML (ā€œconventional DMARDs listedā€) as a regressor in the analysis of biologic DMARDs. Adjusted R2 values for the number of independent variables are also presented. Analysis was completed using R statistical package (R Foundation, Vienna, Austria).

Data sharing

The underlying data used in this study are publicly available and, separately, a database with updated information about national EMLs is maintained online [14].

ethics approval

No ethics approval was sought for this review of publicly available information.

Results

The 138 national EMLs (of 195 total countries; 71%) published between 2001 and 2017 have between 44 and 980 medicines listed (median 308, mean 366.9).

Conventional DMARDs

We examined a total of 10 conventional DMARDs (or classes of medicines). As shown in TableĀ 2, the most commonly listed conventional DMARD was corticosteroids, present on 100% of EMLs. Five countries (Angola, Cambodia, Djibouti, Somalia, and South Africa) list only corticosteroids and no other conventional DMARDs. Country-specific details are presented in the supplementary appendix. The least commonly listed conventional agent was leflunomide (21.74% of countries). Along with colchicine, mycophenolic acid, and sulfasalazine, leflunomide was not included in the WHO model list. The lone difference in included conventional DMARDs between the WHO EML and EMLc is the inclusion of sulfasalazine in the former. Eleven countries (7.97%) included all 10 conventional medicines of interest, while 115 (83.33%) ā‰„5. All countries listed at least one. The number of conventional DMARDs included ranged from 1 to 10 (median 7; IQR 5 to 8; mean 6.565).

Table 2 Inclusion of conventional non-biologic medicines in the WHO Model List and national essential medicines lists
Table 3 Inclusion of biologic medicines in the WHO Model List and national essential medicines lists

The multivariate linear regression indicated that the 5 included country characteristics accounted for a third of the observed differences in number of included conventional DMARDs between countriesā€™ lists (adjusted R2:0.33). GDP per capita (Ī²11.02 [95% CI 0.39, 1.66]; Pā€‰=ā€‰0.00279) was significantly associated with the total number of medicines included. Life expectancy (Ī²1 0.56 [95% CI 0.00, 1.12]; Pā€‰=ā€‰0.05174) approached statistical significance.

Biologic DMARDs

We examined a total of 14 biologic DMARDs. As depicted in TableĀ 3, the most commonly listed biologic agent was rituximab, listed by 42 countries (30.43%). Adalimumab, certolizumab, etanercept, golimumab, infliximab, and rituximab were included on the WHO EML, while only adalimumab, etanercept, infliximab, and rituximab were included on the EMLc. The least commonly listed biologics were the newer agents belimumab and canakinumab (listed by two countries [1.45%] each). As depicted in Fig.Ā 1, Slovenia listed the greatest number of biologics at 13, while its geographic neighbors Slovakia and the Czech Republic listed 12 and 11, respectively. Thus, three countries (2.2%) listed ā‰„10 biologics; 15 (10.9%) were found to list ā‰„5, while 47 (34.1%) listed at least one biologic. Ninety-one (65.9%) of countries listed zero. The number of biologic agents included ranged from 0 to 13 (median 0; IQR 0 to 1; mean 1.239). Notably, data is unavailable for Canada and United States, among others.

Fig. 1
figure 1

Number of biologic medicines included in national essential medicines lists by country. Notes: The number of biologic agents included ranged from 0 to 13. Countries for which no data are available are denoted by dotted pattern

The multivariate linear regression revealed that the six included country characteristics accounted for greater than half of the observed differences in number of included biologic DMARDs between countriesā€™ lists (adjusted R2:0.55).Ā  As demonstrated in Fig.Ā 2, European region (Ī²1 1.30 [95% CI 0.08, 2.52]; Pā€‰=ā€‰0.0367), life expectancy (Ī²1ā€“0.70 [95% CI -1.22, āˆ’ā€‰0.18]; Pā€‰=ā€‰0.0085), health expenditure per capita (Ī²1 1.83 [95% CI 1.24, 2.42]; Pā€‰<ā€‰0.001), and conventional DMARDs listed (Ī²1 0.70 [95% CI 0.33, 1.07]; Pā€‰<ā€‰0.001) were significantly associated with the total number of biologic DMARDs included, the latter two with P values approaching zero. The association between the number of conventional DMARDs included and the number of biologic DMARDs included is most evident in the WHO regions of Eastern Mediterranean, Europe, and The Americas.

Fig. 2
figure 2

Number of biologic medicines relative to conventional medicines included in national essential medicines lists. Notes: The size of each circle represents the countryā€™s health care expenditure per capita. The colour of each circle represents the countryā€™s associated life expectancy. Greater life expectancy, health expenditure per capita, and number of conventional DMARDs listed are associated with a greater number of biologic DMARDs included. The association between the number of conventional DMARDs included and the number of biologic DMARDs included is visually evident in the World Health Organization (WHO) regions of Eastern Mediterranean, Europe, and The Americas

While health expenditure per capita was predictive of biologic inclusion and GDP per capita was not, post-hoc analysis (we re-applied the regression model without health care spending per capita and found GDP to be highly statistically significant) confirmed this to be due to collinearity.

Discussion

Biologic DMARDs with applications in childhood inflammatory disease are excluded from most national EMLs despite their potential to improve outcomes and reduce health care utilization in childhood rheumatologic illness. By comparison, conventional DMARDs, many used to treat both rheumatologic and other conditions, are widely included in national EMLs. Countries with higher health spending and longer life expectancy are more likely to list biologics. Rituximab is the most widely included biologic agent in national EMLs at greater than 30 %. Importantly, rituximab was the only biologic agent included in the 2017 version of the WHO EML; the 2019 iteration, however, introduced multiple TNF-inhibitors (adalimumab, certolizumab, etanercept, golimumab, infliximab), a reflection of the growing role of biologic therapies.

As might be expected, the two least commonly listed biologic DMARDs (canakinumab and belimumab, each listed by two countries) were included by countries with relatively expansive EMLs. Slovenia (total 13 biologics listed) included both canakinumab and belimumab, while the Czech Republic (which lists canakinumab) and Slovakia (which lists belimumab) each include 12 biologics in their respective EMLs.

To our knowledge, this is the first study to examine EML inclusion of medicines with primary applications in rare disease. This is of particular importance given their growing prevalence and associated costs to health systems [3]. The mean annual total cost of JIA, for example, is estimated between US$5683.51 (US$3637.90 in 1999) and US$50,137.91 (US$33,171 in 2000) [15]. The annualized average direct medical costs of JIA patients at two Canadian centers was found to be CAD$2119 (CAD$1686 in 2007) greater than those of healthy controls, the majority of this difference attributable to medication costs [16]. Overall, there exists a paucity of cost evidence in rare diseasesā€”an opportunity for future research.

Strategies for EML development vary by country. In South Africa, for example, members of the National Essential Medicines List Committee (NEMLC) are appointed by the Minister of Health (MOH) on the basis of clinical, pharmacologic, public health, health economic, and bioethical expertise [17]. The process begins with an evidence-based assessment of quality, safety, and efficacy, followed by formal pharmacoeconomic evaluation. The NEMLC is the decision-making body and presents the finalized EML to the MOH for implementation [17].

Treatments for cardiovascular disease are included in most national EMLs [18]. Many drugs for HIV-AIDS that, similar to biologics, are relatively costly are now classified as essential in the WHO model lists and are commonplace on national EMLs [13]. In contrast, the WHO EML and EMLc fail to adequately address the needs of children with rheumatologic disease and do not ā€œreflect current best practice.ā€ [19, 20] Moreover, despite being included in the WHO model lists, the decades old and relatively inexpensive drug methotrexateā€”a first-line therapy for JIAā€”is conspicuously absent from nearly 10% of EMLs. In a recent survey of Paediatric Global Musculoskeletal Health Task Force members, five medicines were deemed ā€œessentialā€ for inclusion in the WHO EML (oral, intraarticular, and intravenous corticosteroids; non-steroidal anti-inflammatory drugs; hydroxychloroquine; and methotrexate), while many DMARDsā€”both conventional and biologicā€”ā€œshouldā€ be listed [20]. Although the 2019 update of the WHO EML and EMLc partially addresses these deficiencies via the inclusion of TNF-inhibitors, further revision of the model lists is needed. Serving as influential templates for national EMLs, greater inclusion of biologics within the WHO EML and EMLc would likely improve access globally.

While a drug may be available (i.e., stocked, supplied, and dispensed) in a given country, it may not be readily accessible as a result of prohibitive costs and reimbursement policies. Access to biologic DMARDs varies between countries, resulting in discrepant health outcomes. In rheumatoid arthritis, between-country differences in GDP per capita, drug reimbursement rules, and affordability of biologics influence biologic usage and measures of disease activity, suggesting geographic inequities in access to optimal care [21]. In JIA, children living in countries with lower GDP suffer greater disease activity and damage, likely in part due to disparities in access to biologic therapies [22]. The inclusion of medications in EMLs has been shown to decrease their cost, increase availability, and improve patient outcomes over time [23, 24]. Using a model list of essential medicines for Canada, the potential savings yielded from universal public coverage of these drugs is estimated over CAD$4 billion per year for patients and private drug plan sponsors [23]. It is reasonable to extrapolate that the inclusion of biologic therapies in national EMLs and, ultimately, systems of universal prescription drug coverage would abate the economic impact and improve the quality of life of children with systemic inflammatory disease.

Our study has limitations. EML data was abstracted from the WHO website in a procedure liable to error (e.g., documents requiring translation, inconsistencies in medicine names) [12]. Next, many developed nations (namely Canada, the United States, the United Kingdom, much of Western Europe, Australia, New Zealand, Japan) do not have national EMLs. The inclusion of such high-income countries would likely not change our finding that higher health spending is associated with the listing of biologic DMARDs. Additionally, with the continued emergence of novel biologic therapies, we exluded a number of molecules with relevance in pediatric rheumatology (e.g., JAK inhibitors) from our analysis. Also, while health workforce characteristics (e.g., pediatric rheumatologists per capita) may influence medicine inclusion in EMLs, we did not have reliable workforce data for all included countries. Lastly, we note that the listing of a drug on an EML does not necessarily imply that it is available to that nationā€™s public; conversely, a drug may be available despite being absent from an EML. While EMLs serve to guide the supply and reimbursement of medicines, the choice of which drugs to fund, stock, prescribe, and dispense ultimately belongs to local governments, health systems, and insurers [10, 25]. Moreover, many medicines in routine clinical use for the treatment of pediatric rheumatologic conditions are administered ā€œoff-labelā€ and their inclusion in national EMLs may be primarily motivated by alternate therapeutic indications (e.g., rituximab for hematologic malignancy) [11, 26]. The data are therefore interpreted with appropriate caution.

Conclusion

Although biologic DMARDs are underrepresented in national EMLs and are more likely to be listed by high-income countries, this does not preclude their inclusion by less prosperous nations. For example, only nine of the 42 countries (21.4%) listing rituximab (the most commonly listed biologic) are categorized as high-income; 33 of 42 (78.6%) are therefore low- or middle-income economies [27]. This indicates the potential for other countries to consider the listing of biologic DMARDs, which would ultimately lead to a lowering of their costs and a resultant increase in their cost-effectiveness, thus rendering them more attractive to governmental and other health payers. Costs to health payers are likely to further decrease with the growth of the biosimilar market, driving price competition and improved patient access to biologic therapies [28]. The inclusion of these medicines in a system of universal prescription drug coverage would ultimately abate the economic impact and improve the quality of life of children with systemic inflammatory disease. Further study of the real-world availability and accessibility of biologic DMARDs is needed.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

DMARD:

Disease-modifying antirheumatic drug

EML:

Essential medicines list

GDP:

Gross domestic product

JAK:

Janus kinase

JDM:

Juvenile dermatomyositis

JIA:

Juvenile idiopathic arthritis

SLE:

Systemic lupus erythematosus

WHO:

World Health Organization

References

  1. Orphanet. The Portal for Rare Diseases and Orphan Drugs. About Rare Diseases [Internet]. 2017; [cited 2020 Aug 19]. Available from: http://www.orpha.net/national/CA-EN/index/about-rare-diseases/.

  2. Lee DK, Wong B. An orphan drug framework (ODF) for Canada. J Popul Ther Clin Pharmacol. 2014;21(1):42ā€“6.

    Google ScholarĀ 

  3. Nguengang Wakap S, Lambert DM, Olry A, Rodwell C, Gueydan C, Lanneau V, et al. Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database. Eur J Hum Genet [Internet]. 2020;28(2):165ā€“73 Available from: http://dx.doi.org/10.1038/s41431-019-0508-0.

    ArticleĀ  Google ScholarĀ 

  4. Ramanan AV, Dick AD, Jones AP, McKay A, Williamson PR, Compeyrot-Lacassagne S, et al. Adalimumab plus methotrexate for uveitis in juvenile idiopathic arthritis. N Engl J Med. 2017;376(17):1637ā€“46. https://doi.org/10.1056/NEJMoa1614160.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  5. Thierry S, Fautrel B, Lemelle I, Guillemin F. Prevalence and incidence of juvenile idiopathic arthritis: a systematic review. Jt Bone Spine. 2014;81(2):112ā€“7. https://doi.org/10.1016/j.jbspin.2013.09.003.

    ArticleĀ  Google ScholarĀ 

  6. Sterba Y, Ilowite N. Biologics in pediatric rheumatology: quo vadis? Curr Rheumatol Rep. 2016;18(7):45. https://doi.org/10.1007/s11926-016-0593-9.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  7. Ungar WJ, Costa V, Hancock-Howard R, Feldman BM, Laxer RM. Cost-effectiveness of biologics in polyarticular-course juvenile idiopathic arthritis patients unresponsive to disease-modifying antirheumatic drugs. Arthritis Care Res. 2011;63(1):111ā€“9. https://doi.org/10.1002/acr.20337.

    ArticleĀ  Google ScholarĀ 

  8. Luca NJ, Burnett HF, Ungar WJ, Moretti ME, Beukelman T, Feldman BM, et al. Cost-effectiveness analysis of first-line treatment with biologic agents in Polyarticular juvenile idiopathic arthritis. Arthritis Care Res. 2016;68(12):1803ā€“11. https://doi.org/10.1002/acr.22903.

    ArticleĀ  CASĀ  Google ScholarĀ 

  9. Winquist E, Bell CM, Clarke JTR, Evans G, Martin J, Sabharwal M, et al. An evaluation framework for funding drugs for rare diseases. Value Heal [Internet]. 2012;15(6):982ā€“6 Available from: http://dx.doi.org/10.1016/j.jval.2012.06.009.

    ArticleĀ  Google ScholarĀ 

  10. World Health Organization. Essential medicines and health products [Internet]. 2020 [cited 2020 Aug 20]. Available from: https://www.who.int/medicines/services/essmedicines_def/en/

    Google ScholarĀ 

  11. World Health Organization. World Health Organization Model List of Essential Medicines for Children 7th List. Report. 2019;(7th List):1ā€“42.

    Google ScholarĀ 

  12. Persaud N, Jiang M, Shaikh R, Bali A, Oronsaye E, Woods H, et al. Comparison of essential medicines lists in 137 countries. Bull World Health Organ. 2019;97(6):394ā€“404C. https://doi.org/10.2471/BLT.18.222448.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  13. Wirtz VJ, Hogerzeil HV, Gray AL, Bigdeli M, de Joncheere CP, Ewen MA, et al. Essential medicines for universal health coverage. Lancet. 2017;389(10067):403ā€“76. https://doi.org/10.1016/S0140-6736(16)31599-9.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  14. EMLs Around The World [Internet]. [cited 2020 Aug 20]. Available from: https://global.essentialmeds.org/dashboard/countries

  15. Angelis A, Tordrup D, Kanavos P. Socio-economic burden of rare diseases: A systematic review of cost of illness evidence. Health Policy (New York) [Internet]. 2015;119(7):964ā€“79 Available from: http://dx.doi.org/10.1016/j.healthpol.2014.12.016.

    ArticleĀ  Google ScholarĀ 

  16. Bernatsky S, Duffy C, Malleson P, Feldman DE, St. Pierre Y, Clarke AE. Economic impact of juvenile idiopathic arthritis. Arthritis Care Res Off J Am Coll Rheumatol. 2007;57(1):44ā€“8. https://doi.org/10.1002/art.22463.

    ArticleĀ  Google ScholarĀ 

  17. Perumal-Pillay VA, Suleman F. Selection of essential medicines for South Africa-an analysis of in-depth interviews with national essential medicines list committee members. BMC Health Serv Res. 2017;17(1):1ā€“17.

    ArticleĀ  Google ScholarĀ 

  18. Jarvis JD, Woods H, Bali A, Oronsaye E, Persaud N. Selection of WHO-recommended essential medicines for non-communicable diseases on National Essential Medicines Lists. PLoS One. 2019;14(8):1ā€“15.

    ArticleĀ  Google ScholarĀ 

  19. Foster HE, Scott C. Update the WHO EML to improve global paediatric rheumatology. Nat Rev Rheumatol. 2020;16(3):123. https://doi.org/10.1038/s41584-020-0368-6.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  20. Scott C, Smith N, James R, Whitehead B, Green R, Foster HE. Revising the WHO essential medicines list for paediatric rheumatology. Pediatr Rheumatol. 2021;19(1):1ā€“2.

    ArticleĀ  Google ScholarĀ 

  21. Bergstra SA, Branco JC, Vega-Morales D, Salomon-Escoto K, Govind N, Allaart CF, et al. Inequity in access to bDMARD care and how it influences disease outcomes across countries worldwide: results from the METEOR-registry. Ann Rheum Dis. 2018;77(10):1413ā€“20. https://doi.org/10.1136/annrheumdis-2018-213289.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  22. Consolaro A, Giancane G, Alongi A, van Dijkhuizen EHP, Aggarwal A, Al-Mayouf SM, et al. Phenotypic variability and disparities in treatment and outcomes of childhood arthritis throughout the world: an observational cohort study. Lancet Child Adolesc Heal. 2019;3(4):255ā€“63. https://doi.org/10.1016/S2352-4642(19)30027-6.

    ArticleĀ  Google ScholarĀ 

  23. Morgan SG, Li W, Yau B, Persaud N. Estimated effects of adding universal public coverage of an essential medicines list to existing public drug plans in Canada. Cmaj. 2017;189(8):E295ā€“302. https://doi.org/10.1503/cmaj.161082.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  24. Bazargani YT, Ewen M, De Boer A, Leufkens HGM, Mantel-Teeuwisse AK. Essential medicines are more available than other medicines around the globe. PLoS One. 2014;9(2):1ā€“7.

    ArticleĀ  Google ScholarĀ 

  25. Kar SS, Pradhan HS, Mohanta GP. Concept of essential medicines and rational use in public health. Indian J community Med Off Publ Indian Assoc Prev Soc Med. 2010;35(1):10.

    Google ScholarĀ 

  26. OrganizaciĆ³n Mundial de la Salud (OMS). World health organization model list of essential medicines. Ment Holist Heal Some Int Perspect. 2019;21:119ā€“34.

    Google ScholarĀ 

  27. Team WBD. New country classifications by income level: 2019ā€“2020 [Internet]. World Bank Blogs. 2019; [cited 2020 Nov 4]. Available from: https://blogs.worldbank.org/opendata/new-country-classifications-income-level-2019-2020.

  28. Kent D, Rickwood S, Di Biase S. Disruption and maturity: the next phase of biologics [internet]. QuintilesIMS. 2017; Available from: https://www.iqvia.com/-/media/iqvia/pdfs/nemea/uk/disruption_and_maturity_the_next_phase_of_biologics.pdf.

  29. Constantin T, Foeldvari I, Anton J, De Boer J, Czitrom-Guillaume S, Edelsten C, et al. Consensus-based recommendations for the management of uveitis associated with juvenile idiopathic arthritis: the SHARE initiative. Ann Rheum Dis. 2018;77(8):1107ā€“17.

    PubMedĀ  Google ScholarĀ 

  30. McGeoch L, Twilt M, Famorca L, Bakowsky V, Barra L, Benseler S, et al. CanVasc recommendations for the management of antineutrophil cytoplasm antibody (ANCA)-associated vasculitides - Executive summary. Can J Kidney Heal Dis [Internet]. 2015;2(1):1ā€“6 Available from: http://dx.doi.org/10.1186/s40697-015-0078-1.

    Google ScholarĀ 

  31. Yates M, Watts RA, Bajema IM, Cid MC, Crestani B, Hauser T, et al. EULAR/ERA-EDTA recommendations for the management of ANCA-associated vasculitis. Ann Rheum Dis. 2016;75(9):1583ā€“94.

    ArticleĀ  CASĀ  Google ScholarĀ 

  32. Hellmich B, Agueda A, Monti S, Buttgereit F, De Boysson H, Brouwer E, et al. 2018 Update of the EULAR recommendations for the management of large vessel vasculitis. Ann Rheum Dis. 2020;79(1):19ā€“30.

    ArticleĀ  Google ScholarĀ 

  33. de Graeff N, Groot N, Brogan P, Ozen S, Avcin T, Bader-Meunier B, et al. European consensus-based recommendations for the diagnosis and treatment of rare paediatric vasculitidesā€“the SHARE initiative. Rheumatology. 2019;58(4):656ā€“71.

    ArticleĀ  Google ScholarĀ 

  34. Angeles-Han ST, Ringold S, Beukelman T, Lovell D, Cuello CA, Becker ML, et al. 2019 American College of Rheumatology/Arthritis Foundation guideline for the screening, monitoring, and treatment of juvenile idiopathic arthritisā€“associated uveitis. Arthritis Care Res. 2019;71(6):703ā€“16.

    ArticleĀ  Google ScholarĀ 

  35. Angeles-Han ST, Lo MS, Henderson LA, Lerman MA, Abramson L, Cooper AM, et al. Childhood Arthritis and Rheumatology Research Alliance consensus treatment plans for juvenile idiopathic arthritisā€“associated and idiopathic chronic anterior uveitis. Arthritis Care Res. 2019;71(4):482ā€“91.

    ArticleĀ  Google ScholarĀ 

  36. Fanouriakis A, Kostopoulou M, Alunno A, Aringer M, Bajema I, Boletis JN, et al. 2019 update of the EULAR recommendations for the management of systemic lupus erythematosus. Ann Rheum Dis. 2019;78(6):736ā€“45.

    ArticleĀ  CASĀ  Google ScholarĀ 

  37. Groot N, De Graeff N, Avcin T, Bader-Meunier B, Brogan P, Dolezalova P, et al. European evidence-based recommendations for diagnosis and treatment of childhood-onset systemic lupus erythematosus: the SHARE initiative. Ann Rheum Dis. 2017;76(11):1788ā€“96.

    ArticleĀ  CASĀ  Google ScholarĀ 

  38. Enders FB, Bader-Meunier B, Baildam E, Constantin T, Dolezalova P, Feldman BM, et al. Consensus-based recommendations for the management of juvenile dermatomyositis. Ann Rheum Dis. 2017;76(2):329ā€“40.

    ArticleĀ  Google ScholarĀ 

  39. McCrindle BW, Rowley AH, Newburger JW, Burns JC, Bolger AF, Gewitz M, et al. Diagnosis, treatment, and long-term management of Kawasaki disease: a scientific statement for health professionals from the American Heart Association. Circulation. 2017;135(17):e927ā€“99.

    ArticleĀ  Google ScholarĀ 

  40. Ozen S, Demirkaya E, Erer B, Livneh A, Ben-Chetrit E, Giancane G, et al. EULAR recommendations for the management of familial Mediterranean fever. Ann Rheum Dis. 2016;75(4):644ā€“51.

    ArticleĀ  CASĀ  Google ScholarĀ 

  41. Ringold S, Angeles-Han ST, Beukelman T, Lovell D, Cuello CA, Becker ML, et al. 2019 American College of Rheumatology/Arthritis Foundation guideline for the treatment of juvenile idiopathic arthritis: therapeutic approaches for non-systemic polyarthritis, sacroiliitis, and enthesitis. Arthritis Care Res. 2019;71(6):717ā€“34.

    ArticleĀ  Google ScholarĀ 

  42. Ringold S, Weiss PF, Colbert RA, DeWitt EM, Lee T, Onel K, et al. Childhood Arthritis and Rheumatology Research Alliance consensus treatment plans for new-onset polyarticular juvenile idiopathic arthritis. Arthritis Care Res. 2014;66(7):1063ā€“72.

    ArticleĀ  Google ScholarĀ 

  43. Dewitt EM, Kimura Y, Beukelman T, Nigrovic PA, Onel K, Prahalad S, et al. Consensus treatment plans for new-onset systemic juvenile idiopathic arthritis. Arthritis Care Res. 2012;64(7):1001ā€“10.

    CASĀ  Google ScholarĀ 

  44. Mina R, Von Scheven E, Ardoin SP, Eberhard BA, Punaro M, Ilowite N, et al. Consensus treatment plans for induction therapy of newly diagnosed proliferative lupus nephritis in juvenile systemic lupus erythematosus. Arthritis Care Res. 2012;64(3):375ā€“83.

    ArticleĀ  Google ScholarĀ 

  45. Huber AM, Robinson AB, Reed AM, Abramson L, Bout-Tabaku S, Carrasco R, et al. Consensus treatments for moderate juvenile dermatomyositis: beyond the first two months. Results of the second Childhood Arthritis and Rheumatology Research Alliance consensus conference. Arthritis Care Res. 2012;64(4):546ā€“53.

    ArticleĀ  Google ScholarĀ 

  46. Zulian F, Culpo R, Sperotto F, Anton J, Avcin T, Baildam EM, et al. Consensus-based recommendations for the management of juvenile localised scleroderma. Ann Rheum Dis. 2019;78(8):1019ā€“24.

    ArticleĀ  Google ScholarĀ 

  47. Li SC, Torok KS, Pope E, Dedeoglu F, Hong S, Jacobe HT, et al. Development of consensus treatment plans for juvenile localized scleroderma: a roadmap toward comparative effectiveness studies in juvenile localized scleroderma. Arthritis Care Res. 2012;64(8):1175ā€“85.

    CASĀ  Google ScholarĀ 

  48. de Graeff N, Groot N, Ozen S, Eleftheriou D, Avcin T, Bader-Meunier B, et al. European consensus-based recommendations for the diagnosis and treatment of Kawasaki diseaseā€“the SHARE initiative. Rheumatology. 2019;58(4):672ā€“82.

    ArticleĀ  Google ScholarĀ 

  49. Ter Haar NM, Oswald M, Jeyaratnam J, Anton J, Barron KS, Brogan PA, et al. Recommendations for the management of autoinflammatory diseases. Ann Rheum Dis. 2015;74(9):1636ā€“44.

    ArticleĀ  Google ScholarĀ 

  50. Zhao Y, Wu EY, Oliver MS, Cooper AM, Basiaga ML, Vora SS, et al. Consensus Treatment Plans for Chronic Nonbacterial Osteomyelitis Refractory to Nonsteroidal Antiinflammatory Drugs and/or With Active Spinal Lesions. Arthritis Care Res. 2018;70(8):1228ā€“37.

    ArticleĀ  Google ScholarĀ 

  51. Groot N, De Graeff N, Marks SD, Brogan P, Avcin T, Bader-Meunier B, et al. European evidence-based recommendations for the diagnosis and treatment of childhood-onset lupus nephritis: the SHARE initiative. Ann Rheum Dis. 2017;76(12):1965ā€“73.

    ArticleĀ  CASĀ  Google ScholarĀ 

  52. McGeoch L, Twilt M, Famorca L, Bakowsky V, Barra L, Benseler S, et al. CanVasc recommendations for the management of antineutrophil cytoplasm antibody (ANCA)-associated vasculitidesā€“Executive summary. Can J kidney Heal Dis. 2015;2(1):43.

    Google ScholarĀ 

  53. Rohekar S, Chan J, Shirley ML, Haroon N, Chandran V, Bessette L, et al. 2014 Update of the Canadian Rheumatology Association/Spondyloarthritis Research Consortium of Canada treatment recommendations for the management of spondyloarthritis. Part II: specific management recommendations. J Rheumatol. 2015;42(4):665ā€“81.

    ArticleĀ  Google ScholarĀ 

  54. Singh JA, Guyatt G, Ogdie A, Gladman DD, Deal C, Deodhar A, et al. 2018 American College of Rheumatology/National Psoriasis Foundation guideline for the treatment of psoriatic arthritis. Arthritis Rheum. 2019;71(1):5ā€“32.

    ArticleĀ  Google ScholarĀ 

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Kraus, R., Yeung, R.S.M. & Persaud, N. Biologic medicine inclusion in 138 national essential medicines lists. Pediatr Rheumatol 19, 140 (2021). https://doi.org/10.1186/s12969-021-00608-z

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