Abstract
Introduction/objectives
The objective of this study is to describe the treatment patterns and use of healthcare resources in a cohort of Colombian patients with rheumatoid arthritis (RA) treated with biological disease-modifying antirheumatic drugs (bDMARDs) or tofacitinib.
Method
This is a descriptive study from a retrospective cohort of patients diagnosed with RA who were treated with bDMARDs or tofacitinib after failure of conventional DMARDs (cDMARDs) or first bDMARD. Patients who were receiving pharmacological treatment between 01 January 2014 and 30 June 2018 were included. The analysis is through the revision of claim database and electronical medical records. Demographic and clinical data were collected. The costs of healthcare resources were estimated from the billing expense of healthcare service provider.
Results
We evaluated 588 RA patients on treatment with bDMARDs (n = 505) or tofacitinib (n = 83), most of them were in combination with cDMARDs (85.4%). The 88.1% were females and mean age was 57.3 ± 12.5 years. The median evolution of RA since diagnosis was 9 years (IQR:4–17.2). The mean duration of use during follow-up of the bDMARDs or tofacitinib was similar, with a mean of 9.8 ± 1.9 months. It was identified that 394 (67.0%) discontinued therapy. The average annual direct cost of care per patient was USD 8997 ± 2172, where 97.2% was due to drug costs. The average annual cost of treatment per patient with bDMARDs was USD 8604 and tofacitinib was USD 6377.
Conclusions
In the face of a first failure of cDMARD, bDMARDs are frequently added. A high frequency of patients do not persist treatment during the first year of follow-up. The pharmacological treatment is the most representative cause of healthcare costs.
Key Points • Rheumatoid arthritis is a disease with a high burden of comorbidities, complications, and worse health-related quality of life and is associated with elevated healthcare costs. • The biological disease-modifying antirheumatic drugs or tofacitinib medications are indicated for those with significant progression of the disease and when there is a need for alternatives to achieve low levels of activity and remission. • Patients with rheumatoid arthritis treated with biological disease-modifying antirheumatic drugs or tofacitinib represent a significant economic burden to the health system, especially in the costs derived from pharmacological treatment. |
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Rheumatoid arthritis (RA) is a chronic, progressive autoimmune disease characterized by persistent synovial and systemic inflammation associated with joint destruction. It has an estimated prevalence between 0.5% and 1% in the adult population, mainly affecting women and the elderly [1, 2].
Disease-modifying antirheumatic drugs (DMARDs) are available for pharmacological treatment [3,4,5,6]. They have been classified according to their origin as biological (bDMARD) and conventional (cDMARD). The bDMARDs are used as a second line in patients who have not responded to cDMARDs, but with higher costs and incidence of adverse effects. The objective of the therapy is to control and reduce synovitis and systemic inflammation, prevent joint damage, improve quality of life, and reduce symptoms with improvement in the disability [1, 7].
Patients with RA have overexpression and overproduction of tumor necrosis factor (TNF), with interaction between B lymphocytes and T lymphocytes, and increased production of proinflammatory cytokines such as interleukin-1 and interleukin-6 [8, 9]. For these reasons, researchers designed bDMARDs, which are monoclonal antibodies that inhibit TNF, such as adalimumab, etanercept, infliximab, certolizumab, and golimumab. The inteleukin-6 inhibitors such as tocilizumab and the interleukin-1 inhibitors such as anakinra have similar effects, as do anti-CD-20 antibodies (rituximab) and cytotoxic T lymphocyte-associated antigen 4 blockers (abatacept). Also available is tofacitinib, which is classified as a targeted synthetic DMARD (tsDMARD) and oral therapy that specifically inhibits Janus kinases to block the activation of signal transduction pathways induced by cytokines [1, 5, 10,11,12,13].
In cohorts of Colombian patients, these therapies can be highly effective, leading to remission of their disease, despite adverse reactions and costs [5, 14]. Therefore, it is important to know in greater depth the factors that can influence access to and costs of healthcare for those patients who use DMARDs.
RA generates a significant economic burden for health systems, due to direct costs (healthcare and drugs) and indirect costs (productive losses), with an estimated yearly cost of USD 41,000 per patient in the United States, and this is expected to increase due to increased use of biological drugs, comorbidities, increased age of the population, and widespread physical inactivity [15, 16]. In Colombia, Montoya et al. calculated the direct healthcare costs for RA patients in Medellin between 2007 and 2009, finding a mean of USD 8178 USD per year, 87.9% of which was pharmaceutical expenditures, in particular drugs of biological origin [17]. However, there is a gap in knowledge related to the economic evidence in the current attention of RA, considering the implementation of price drug regulation, availability of treatments in the last years, and changes of attention models in the Colombian healthcare system.
Persistence is another determining factor in RA treatment, which seeks to measure the time from initiation to discontinuation of therapy [18]. This measurement is highly associated with clinical effectiveness, adverse events, patient preference, and access barriers [19]. The persistence of bDMARDs has been estimated in different observational studies between 32 and 90.9% [20]. Despite of the relevance of this variable, it has not been measured in the country.
Considering the little evidence available in these facts, the objective of this study was to determine the treatment patterns, persistence, and the use of health resources in a cohort of Colombian patients with a diagnosis of RA treated with bDMARDs or tofacitinib between 2014 and 2018.
Materials and methods
This is an observational study which collected information from a retrospective cohort of 2200 patients who were treated in a specialized healthcare service provider (Institución Prestadora de Servicios Especializada: IPS-E) of Audifarma SA in Colombia, who were receiving pharmacological treatment for RA between January 2014 and June 2018.
The following inclusion criteria were considered: patients of either sex, older than 18 years, with a diagnosis of RA (diagnosis in IPS-E according to EULAR criteria) based on the International Classification of Diseases (ICD-10) codes M06.9, M0.690-M06.99, M05, and M06.0 and their subclassifications, who have not responded to cDMARDs or who have received only a first bDMARD, who began treatment with a bDMARD or tofacitinib after 1 January 2014, and who have been on the medication for more than 6 months. Patients treated with more than one bDMARD before the index event or who had previous diagnoses of Crohn’s disease (K50), ulcerative colitis (K51), ankylosing spondylitis (M45), psoriasis (L40), or psoriatic arthritis (L40.5; M07.0-M07.3) were excluded. Those who did not have continuous management with bDMARD or tofacitinib during the last 6 months of follow-up were also excluded.
The index date was defined as the time of dispensing the first dose of bDMARD or tofacitinib to each patient. From that time on, the patient was followed up for 12 months to identify the resources used during that period and the possible barriers to access to the medication that he/she would have registered.
The following groups of variables were considered:
-
-Sociodemographic: age, sex, city.
-
-Clinical: clinical diagnosis (ICD-10 codes), time since diagnosis of the disease (in years), severity of disease at baseline according to Disease Activity Score (DAS28), comorbidities (metabolic, cardiovascular, hepatic, neoplastic, rheumatologic, respiratory, and gastrointestinal), and adverse drug reactions.
-
-Pharmacological: previous treatment with cDMARDs, bDMARDs, or DMARDs with a specific target, route and frequency of administration, suspension of any of the medications, and the cause of suspension.
-
-Use of resources: proportion of days covered, cost of treatment, use of other medications related to RA and their cost, number of hospital admissions caused by adverse events, type of adverse event that led to hospitalization, number of hospital admissions due to complications of the disease, type of complication, number of visits for administration of bDMARD, cost per administration (rheumatology care center- IPS-E), number of visits with rheumatology and its cost, number of visits to other medical specialties and their cost, and number of visits to emergency departments. There was no information on the costs of hospitalization or emergency room visits (general hospital).
-
-Access barriers: time from prescription to drug dispensing and number of days of delay in drug delivery.
-
-Outcomes: persistence of medication use (the continuation of medication from the index date until 12 months of follow-up with drug claim gaps no greater than 60 days (19)); proportion of days covered, calculated from the days that the patient would have the medication according to the units delivered over the number of days prescribed [21].
The economic variables were identified from the review of patients’ clinical records; information was extracted following the macro-costing method, where only direct costs of the use of services, including those used by the patient (medical consultations, drug application, pharmaceutical expenses, etc.), were considered. The Colombian peso was used with conversion to US dollars under the respective exchange rate according to the Banco de la Republica (Bank of the Republic) (1 USD = 2,920 pesos (December of 2017)). The sources of information were the drug claims database of the logistics operator that dispenses them, the clinical records of IPS-E, and its billing database. Information on the drug claims base and clinical records were validated by the authors.
The statistical package SPSS Statistics version 25.0 (IBM, USA) for Windows was used to analyze the data. Information was gathered by medical professionals following a data extraction template developed in Microsoft Excel. Univariate analyses were run with frequencies and proportions for categorical variables and measures of central tendency, position, and dispersion for the quantitative variables according to their normality (Kolmogorov-Smirnov test).
The study was endorsed by the Bioethics Committee of the Universidad Tecnológica de Pereira in the “risk-free research” category. The principles of confidentiality of information established by the Declaration of Helsinki were respected, and individual informed consent was not required for each patient. In no case were personal data of the research subjects taken.
Results
A total of 588 patients undergoing bDMARD or tsDMARD treatment for the control of RA were evaluated, with a predominance of females (n = 518, 88.1%) and a mean age of 57.3 ± 12.5 years. They were residents of 60 different cities in Colombia. The most recorded diagnosis was seropositive RA (n = 441, 75.0%). Regarding the level of activity of RA, by the onset of follow-up, the mean DAS28 score was at 4.8 ± 1.2 points, while at the end the mean was 3.1 ± 1.5 points (p < 0.001). Table 1 shows sociodemographic characteristics and data on complications, duration of the disease, and severity according to type of previous therapy. The most frequent cDMARDs previously used were methotrexate (n = 542; 92.2%), leflunomide (n = 456; 77.6%), chloroquine (n = 316; 53.7%), and sulfasalazine (n = 300; 51.0%), and the most frequent bDMARDs previously used by patients were etanercept (n = 51; 27.1%), adalimumab (n = 45; 23.9%), abatacept (n = 22; 11.7%), tocilizumab (n = 21; 11.2%), rituximab (n = 18; 9.6%), certolizumab (n = 15; 8.0%), infliximab (n = 11; 5.9%), and golimumab (n = 5; 2.7%).
At the beginning of the follow-up, it was found that 32.0% (n = 188) of the patients had previously received a first bDMARD therapy, especially etanercept, while all of them had used cDMARD therapy, such as methotrexate and leflunomide. Patients received a mean of 2.0 ± 0.6 medications, and 86 (14.6%) were treated with one medication—tofacitinib n = 28 (33.7% of tofacitinib users) and bDMARDs n = 58 (11.5% of bDMARDs users), while 384 (65.3%) received two medications, 110 (18.7%) received three medications, and 8 (1, 4%) received four. Table 2 shows the treatment used, with their mean dose, frequency, and route of administration. In addition, 401 (68.2%) patients were receiving acetaminophen simultaneously, 126 (21.4%) received opioids, and 103 (17.5%) received nonsteroidal anti-inflammatory drugs.
The mean length of bDMARD or tofacitinib use during the follow-up year was 9.8 ± 1.9 months (with 292.7 ± 61.3 days covered), although with gaps in continuity, because only 12.1% (n = 71) received a full 12 months of therapy. A total of 394 (67.0%) patients stopped treatment during this period, while 41 (7.0%) had a change in management and in 83 (14.1%) patients, the bDMARD or tofacitinib, the suspension was permanent. Table 3 shows the causes of the suspension. Table 4 shows the frequency of suspension of each biological drug and the type of change that was undertaken. The mean delay time between the prescription (bDMARDs or tofacitinib) and the first delivery or application was 31.3 ± 23.9 days; only 267 (45.4%) patients had this information reported in the clinical records; for tofacitinib, the mean claim delay was 18.1 ± 9.8 days and bDMARD claim delay 33.2 ± 24.8 days.
A total of 35 (6.0%) patients were reported to have had an adverse reaction associated with the use of a bDMARD or tofacitinib, the most frequent being those of infectious origin (n = 13; 2.2%), followed by local or injection site-related reactions (n = 8; 1.4%), hepatic or gastrointestinal (n = 6; 1.0%), cardiovascular (n = 3; 0.5%), central nervous system (I = 2; 0.3%), respiratory (n = 1; 0.2%), and others, such as dyslipidemia and angioedema in one patient each (0.2%).
The most common comorbidity was type 2 diabetes mellitus in 72 patients (12.2%), many of them had target organ damage as a result of diabetes (n = 23; 3.9%); followed by liver disease (n = 61; 10.4%), history of a localized solid tumor (n = 42; 7.1%), rarely with tumor metastasis (n = 2; 0.3%); chronic kidney disease (n = 33; 5.6%); chronic obstructive pulmonary disease or asthma (n = 49; 8.3%); peripheral vascular disease (n = 46; 7.8%); depression or anxiety (n = 39, 6.6%); coronary artery disease (n = 20; 3.4%); heart failure (n = 18; 3.1%); acid-peptic disease (n = 11; 1.9%); stroke (n = 10; 1.7%); and hematological neoplasias such as lymphomas or leukemia (n = 3; 0.5%). The Charlson comorbidity index had a mean of 3.1 ± 1.7 points (range: 1–12 points).
During the follow-up year, on average, patients had 2.8 ± 1.1 consultations with rheumatologists (range: 1–6 visits). A mean of 1.5 visits to other medical specialties was found, the most frequent being to internal medicine, dermatology, and orthopedics. During follow-up, only one patient had a hospitalization related to articular complications of RA while three patients were hospitalized due to adverse events from rituximab (angioedema), golimumab (dyspnea), and tocilizumab (infectious complication), respectively.
Regarding costs, an annual mean of total cost per RA patient of USD 8996.9 ± 2172 was found, and the total expense of the 588 patients was USD 5,257,256. Of the total cost, 97.2% was associated with pharmaceutical expenditure, and of this, 92.1% was spent on bDMARDs or tofacitinib, while the remaining cost was associated with cDMARDs, analgesics, and other medications. Only 1.7% of expenses was associated with the application of subcutaneous medications or infusions, and 1.1% represented the cost of medical visits (see Table 5).
Discussion
RA is a disease with a high burden of comorbidities, complications, and worse health-related quality of life and is associated with elevated healthcare costs. The bDMARDS or tofacitinib medications are indicated for those with significant progression of the disease and when there is a need for alternatives to achieve low levels of activity and remission [22]. However, these medications are related with a significant increase in direct costs and with all medications there is a risk of some adverse reactions [16, 23]. The present study describes the clinical characteristics, treatment patterns, persistence, and direct healthcare costs associated with bDMARD or tofacitinib treatment in RA patients in Colombia in a real-life context.
The patients evaluated in this cohort had a high frequency of other diseases as measured with the Charlson comorbidity index, which directly impacts the probability of death when compared with cases whose score is 0 [24]. Diabetes mellitus was diagnosed in 12% of our patients, and peripheral vascular disease, coronary disease, and heart failure were common, which have been widely recognized as the main risk factors related to premature mortality in RA patients [25, 26]. This mortality is explained mainly by accelerated atherosclerosis and by its suboptimal medical management in different cohorts, which not only impacts health-related quality of life and survival but also raises direct medical expenditures unrelated to RA [27,28,29].
The patients included had a mean history of 10 years with RA, and almost half of them already had associated complications, which can be explained by the inclusion criteria, leading to a population who already had greater activity of the pathology. This made them candidates to receive bDMARDs or tofacitinib, in accordance with their high DAS28 score [5, 30]. The start of the observation period of each subject was the time of first prescription of these drugs, and thus the level of activity and complications should be correlated with the therapy they had been receiving previously. It is relevant that 32% of patients had already received a bDMARD and that nearly 85% continued receiving a cDMARD concomitantly. The reduction in the DAS28 score during the observation period is a sign of the effectiveness of the treatment [5, 31].
In view of the above, the mean time of use of the drugs was approximately 10 of the 12 months of follow-up (83.3% of the time covered by the drug).This gap can be explained by the proportion of patients who discontinued the drug with or without a recorded reason and the difficulties accessing medications associated with authorizations by the insurer, which affects the continuity of long-term therapy according to the requirements of the patient and may impact the outcomes and activity of the disease [32, 33].
The mean annual direct cost of treatment with bDMARDs or tofacitinib for each patient was close to USD 9000, a very high value compared with the mean necessary to cover the health costs of a Colombian, which according to the Ministry of Health of Colombia was 277 USD/year in 2017 [34]. However, it is lower than that found by the systematic review by Hresko et al. in the United States, where they estimated a direct cost at USD 36,053 for each RA patient treated with bDMARDs [16], probably explained by the local prices of medications, medical consultations, and procedures required. The same study estimated that starting therapy with a bDMARD increases the annual direct cost for pathology control by approximately 444% [16]. In the study published by Leon et al. in Spain, it was estimated that a patient with RA treated without a bDMARD had a direct cost of approximately 5% of the total annual cost, while receiving a bDMARD raised this value to more than 90% of the annual total, a phenomenon similar to that found in this study [35].
The cost of tofacitinib compared with bDMARDs was lower in the evaluated population, mainly explained by a lower monthly value paid for the medicine; however, this phenomenon might differ according to the environment studied. For example, similar results were observed by Chastek et al., who reported that the lowest cost of treatment in rheumatoid arthritis included tofacitinib, infliximab, and abatacept, according to the information of more than 20,000 clinical records from United States [36]. Conversely, a cost-minimization analysis conducted in Brazil, which reviewed national databases that provide information of healthcare resources, reported unlike results being tocilizumab the lowest treatment under the scenery of population under 60 kg of weight [37].
The relationship between the high costs of pharmacological treatment of RA patients and the lack of persistence or adherence throughout follow-up demonstrates the difficulties that health systems have in covering this pathology, especially in developing countries, which have limited resources and which need to select cost-effective therapies based on their own analysis that guarantee access and coverage that are also safe and improve the quality of life of those who require them [38, 39]. Undoubtedly, the problems of lack of persistence in the use of antirheumatic drugs deserve special attention, which leads to the need to search for strategies that identify the causes and improve adherence to treatment. In addition, the management of comorbidities and complications that, according to some studies, may be responsible for up to 44% of the total direct costs of patients with RA should be considered [40]; this condition was not measured in this study. Another point of interest was the indirect costs, which could not be identified and quantified in this study and that in others has been estimated to represent approximately 25% of the total costs of the disease, hence the importance of choosing effective treatments that achieve their therapeutic objective [41, 42].
Adverse reactions were relatively infrequent in this cohort of patients, despite strict follow-up through an active pharmacovigilance program, which can be explained by the efforts of the care staff in achieving a high adherence to the administration protocols of each drug and by the specific selection of the drug adjusted to the individual needs [14]. However, the short follow-up time did not allow the identification of reactions that may be associated with long-term use.
The limitations of this study include the fact that its conclusions are applicable only to patients with similar insurance and health service provision characteristics in Colombia. In addition, the actual frequency of hospitalizations and emergency department care for all patients is unknown, as are the direct costs associated with care during hospital stays, and laboratory and imaging test costs were not included, situations that add up to the direct costs of the disease. Nor were indirect costs related to loss of labor productivity or disabilities obtained, nor those associated with the management of other pathologies or complications derived from RA. The follow-up was relatively short, so the conclusions about the longer term should be made with caution. Finally, it was not possible to find out the reasons for lack of continuity or suspension of therapy in all subjects. The study’s strengths include the complete clinical follow-up of a cohort of RA patients undergoing treatment with bDMARDs or tofacitinib, as well as the estimation of the direct costs not only of pharmacological therapy but also of the administration of drugs and medical visits.
It can be concluded that patients with RA treated with bDMARDs or tofacitinib represent a significant economic burden to the health system, especially in the costs derived from pharmacological treatment, in addition to the high frequency of comorbidities. On the other hand, relatively few problems of adherence can be identified, since most patients received the therapy month after month throughout the year. However, this should encourage the development of strategies to improve adherence in those who do not comply, since nonadherence can slow the remission of the disease and promote the appearance of complications, which should be quantified and costed. This study shows the direct costs of treatment incurred by insurers, data that may be useful for decision-making that favors outcomes, ensuring the effectiveness, safety, and proper use of economic resources for AR care.
Data availability
Protocolos.io
References
Scott DL, Wolfe F, Huizinga TW (2010) Rheumatoid arthritis. Lancet 376:1094–1108. https://doi.org/10.1016/S0140-6736(10)60826-4
Machado-Alba JE, Ruiz AF, Medina Morales DA (2015) The epidemiology of rheumatoid arthritis in a cohort of Colombian patients. Rev Colomb Reumatol 22:148–152. https://doi.org/10.1016/j.rcreu.2015.05.006
Bazzichi L, Maser J, Piccinni A, Rucci P, del Debbio A, Vivarelli L, Catena M, Bouanani S, Merlini G, Bombardieri S, Dell'Osso L (2005) Quality of life in rheumatoid arthritis: impact of disability and lifetime depressive spectrum symptomatology. Clin Exp Rheumatol 23:783–788
Laas K, Roine R, Rasanen P, Sintonen H, Leirisalo-Repo M (2009) Health-related quality of life in patients with common rheumatic diseases referred to a university clinic. Rheumatol Int 29:267–273. https://doi.org/10.1007/s00296-008-0673-x
Machado-Alba J, Ruiz A, Machado-Duque M (2016) Effectiveness of treatment with biologic-and disease-modifying antirheumatic drugs in rheumatoid arthritis patients in Colombia. Int J Clin Pract 70:506–511. https://doi.org/10.1111/ijcp.12809
Uhlig T, Loge JH, Kristiansen IS, Kvien TK (2007) Quantification of reduced health-related quality of life in patients with rheumatoid arthritis compared to the general population. J Rheumatol 34:1241–1247
Dougados M, Aletaha D, van Riel P (2007) Disease activity measures for rheumatoid arthritis. Clin Exp Rheumatol 25(5 Suppl 46):S22–S29
Feldmann M, Brennan FM, Maini RN (1996) Rheumatoid arthritis. Cell 85:307–310. https://doi.org/10.1016/S0092-8674(00)81109-5
Tolboom TC, van der Helm-Van Mil AH, Nelissen RG, Breedveld FC, Toes RE, Huizinga TW (2005) Invasiveness of fibroblast-like synoviocytes is an individual patient characteristic associated with the rate of joint destruction in patients with rheumatoid arthritis. Arthritis Rheum 52:1999–2002. https://doi.org/10.1002/art.21118
Bonafede M, Johnson BH, Tang DH, Shah N, Harrison DJ, Collier DH (2015) Etanercept-methotrexate combination therapy initiators have greater adherence and persistence than triple therapy initiators with rheumatoid arthritis. Arthritis Care Res (Hoboken) 67:1656–1663. https://doi.org/10.1002/acr.22638
Hodge JA, Kawabata TT, Krishnaswami S, Clark JD, Telliez JB, Dowty ME, Menon S, Lamba M, Zwillich S (2016) The mechanism of action of tofacitinib - an oral Janus kinase inhibitor for the treatment of rheumatoid arthritis. Clin Exp Rheumatol 34:318–328
Nüßlein HG, Alten R, Galeazzi M, Lorenz HM, Nurmohamed MT, Bensen WG, Burmester GR, Peter HH, Pavelka K, Chartier M, Poncet C, Rauch C, le Bars M (2015) Prognostic factors for abatacept retention in patients who received at least one prior biologic agent: an interim analysis from the observational, prospective ACTION study. BMC Musculoskelet Disord 16:176. https://doi.org/10.1186/s12891-015-0636-9
Radominski SC, Cardiel MH, Citera G, Goecke A, Jaller JJ, Lomonte ABV, Miranda P, Velez P, Xibillé D, Kwok K, Rojo R, García EG (2017) Tofacitinib, an oral Janus kinase inhibitor, for the treatment of Latin American patients with rheumatoid arthritis: pooled efficacy and safety analyses of phase 3 and long-term extension studies. Reumatol Clin 13:201–209. https://doi.org/10.1016/j.reuma.2016.04.010
Machado-Alba JE, Ruiz AF, Machado-Duque ME (2014) Adverse drug reactions associated with the use of disease-modifying anti-rheumatic drugs in patients with rheumatoid arthritis. Rev Panam Salud Publica 36:396–401
Claxton L, Jenks M, Taylor M et al (2016) An economic evaluation of tofacitinib treatment in rheumatoid arthritis: modeling the cost of treatment strategies in the United States. J Manag Care Spec Pharm 22:1088–1102. https://doi.org/10.18553/jmcp.2016.22.9.1088
Hresko A, Lin TC, Solomon DH (2018) Medical care costs associated with rheumatoid arthritis in the US: a systematic literature review and meta-analysis. Arthritis Care Res (Hoboken) 70:1431–1438. https://doi.org/10.1002/acr.23512
Montoya N, Gómez L, Vélez M, Rosselli D (2011) Costos directos del tratamiento de pacientes con artritis reumatoide en Medellín, Colombia. Rev Colomb Reumatol 18:26–33. https://doi.org/10.1016/S0121-8123(11)70060-3
Andrade SE, Kahler KH, Frech F, Chan KA (2006) Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiol Drug Saf 15:565–577. https://doi.org/10.1002/pds.1230
Aletaha D, Stamm T, Kapral T, Eberl G, Grisar J, Machold KP, Smolen JS (2003) Survival and effectiveness of leflunomide compared with methotrexate and sulfasalazine in rheumatoid arthritis: a matched observational study. Ann Rheum Dis 62:944–951. https://doi.org/10.1136/ard.62.10.944
Blum MA, Koo D, Doshi JA (2011) Measurement and rates of persistence with and adherence to biologics for rheumatoid arthritis: a systematic review. Clin Ther 33:901–913. https://doi.org/10.1016/j.clinthera.2011.06.001
Bijlsma MJ, Janssen F, Hak E (2016) Estimating time-varying drug adherence using electronic records: extending the proportion of days covered (PDC) method. Pharmacoepidemiol Drug Saf 25:325–332. https://doi.org/10.1002/pds.3935
Singh JA, Saag KG, Bridges SL Jr, Akl EA, Bannuru RR, Sullivan MC, Vaysbrot E, McNaughton C, Osani M, Shmerling RH, Curtis JR, Furst DE, Parks D, Kavanaugh A, O'Dell J, King C, Leong A, Matteson EL, Schousboe JT, Drevlow B, Ginsberg S, Grober J, St.Clair EW, Tindall E, Miller AS, McAlindon T (2016) 2015 American College of Rheumatology Guideline for the Treatment of Rheumatoid Arthritis. Arthritis Rheumatol 68:1–26
Holroyd CR, Seth R, Bukhari M, Malaviya A, Holmes C, Curtis E, Chan C, Yusuf MA, Litwic A, Smolen S, Topliffe J, Bennett S, Humphreys J, Green M, Ledingham J (2019) The British Society for Rheumatology biologic DMARD safety guidelines in inflammatory arthritis. Rheumatology (Oxford) 58:372. https://doi.org/10.1093/rheumatology/key298
Rattanasompattikul M, Feroze U, Molnar MZ, Dukkipati R, Kovesdy CP, Nissenson AR, Norris KC, Kopple JD, Kalantar-Zadeh K (2012) Charlson comorbidity score is a strong predictor of mortality in hemodialysis patients. Int Urol Nephrol 44:1813–1823. https://doi.org/10.1007/s11255-011-0085-9
Jagpal A, Navarro-Millan I (2018) Cardiovascular co-morbidity in patients with rheumatoid arthritis: a narrative review of risk factors, cardiovascular risk assessment and treatment. BMC Rheumatol 2:10. https://doi.org/10.1186/s41927-018-0014-y
Weijers JM, Rongen-van Dartel SAA, Hoevenaars D, Rubens M, Hulscher M, van Riel P (2018) Implementation of the EULAR cardiovascular risk management guideline in patients with rheumatoid arthritis: results of a successful collaboration between primary and secondary care. Ann Rheum Dis 77:480–483. https://doi.org/10.1136/annrheumdis-2017-212392
Fragoulis GE, Panayotidis I, Nikiphorou E (2019) Cardiovascular risk in rheumatoid arthritis and mechanistic links: from pathophysiology to treatment. Curr Vasc Pharmacol 18:431–446. https://doi.org/10.2174/1570161117666190619143842
Heslinga M, Van Den Oever I, Jonker DL et al (2019) Suboptimal cardiovascular risk management in rheumatoid arthritis patients despite an explicit cardiovascular risk screening programme. Scand J Rheumatol 48:345–352. https://doi.org/10.1080/03009742.2019.1600718
Liao KP (2017) Cardiovascular disease in patients with rheumatoid arthritis. Trends Cardiovasc Med 27:136–140. https://doi.org/10.1016/j.tcm.2016.07.006
Kim G, Barner JC, Rascati K, Richards K (2016) Examining time to initiation of biologic disease-modifying antirheumatic drugs and medication adherence and persistence among Texas Medicaid recipients with rheumatoid arthritis. Clin Ther 38:646–654. https://doi.org/10.1016/j.clinthera.2016.01.022
Santos-Moreno P, Sanchez-Vanegas G (2019) Clinical effectiveness and safety of treatment with anti-tumor necrosis factor alpha drugs in a cohort of Colombian patients with rheumatoid arthritis. J Clin Rheumatol 10:1097. https://doi.org/10.1097/RHU.0000000000001093
del Moral RC, Rillo OL, Benegas M et al (2013) Adherencia al tratamiento de pacientes con artritis reumatoidea que reciben medicamentos biológicos. Rev Argent Reumatol 24(4)
Khilfeh I, Guyette E, Watkins J, Danielson D, Gross D, Yeung K (2019) Adherence, persistence, and expenditures for high-cost anti-Inflammatory drugs in rheumatoid arthritis: an exploratory study. J Manag Care Spec Pharm 25:461–467. https://doi.org/10.18553/jmcp.2019.25.4.461
Ministerio de Salud y Protección Social de Colombia (2016). Resolución Número 006411 de 2016, Valor de la Unidad de Pago por Capitación (UPC) vigencia de 2017. Available: https://diario-oficial.vlex.com.co/vid/resolucion-numero-006411-2016-656478197 (Accessed 17 Jan 2020)
Leon L, Abasolo L, Fernandez-Gutierrez B, Jover JA, Hernandez-Garcia C (2018) Direct medical costs and their predictors in the EMAR-II cohort: “variability in the management of rheumatoid arthritis and spondyloarthritis in Spain”. Reumatol Clin 14(1):4–8. https://doi.org/10.1016/j.reumae.2016.09.004
Chastek B, White J, Van Voorhis D, Tang D, Stolshek BS (2016) A retrospective cohort study comparing utilization and costs of biologic therapies and JAK inhibitor therapy across four common inflammatory indications in adult US managed care patients. Adv Ther 33:626–642. https://doi.org/10.1007/s12325-016-0312-y
Yazawa P, Puopolo G, Walmrath J, Leme-Souza R, Bianco J (2019) Cost-minimization analysis of biological disease-modifying antirheumatic drugs in the Brazilian public health system (SUS) considering patients’ weight. J Bras Econ Saúde 11:105–111. https://doi.org/10.21115/JBES.v11.n2.p105-11
Syngle A, Kaur S, Verma I, Syngle T, Syngle V (2017) Cost-effective analysis of disease-modifying anti-rheumatic drugs in rheumatoid arthritis. Clin Rheumatol 36:1715–1720. https://doi.org/10.1007/s10067-017-3725-3
Kowalik K, Wegierska M, Barczynska T, Jeka S (2018) Pharmacoeconomic evaluation of costs of rheumatoid arthritis therapy with selected biological treatment. Reumatologia 56:340–345. https://doi.org/10.5114/reum.2018.80710
Husberg M, Davidson T, Hallert E (2017) Non-medical costs during the first year after diagnosis in two cohorts of patients with early rheumatoid arthritis, enrolled 10 years apart. Clin Rheumatol 36:499–506. https://doi.org/10.1007/s10067-016-3470-z
Fakhouri W, Lopez-Romero P, Antonelli S, Losi S, Rogai V, Buda S, Sangiorgi D, Perrone V, Degli Esposti L (2018) Treatment patterns, health care resource utilization and costs of rheumatoid arthritis patients in Italy: findings from a retrospective administrative database analysis. Open Access Rheumatol 10:103–111. https://doi.org/10.2147/OARRR.S164738
Hamuryudan V, Direskeneli H, Ertenli I, Inanc M, Karaaslan Y, Oksel F, Ozbek S, Pay S, Terzioglu E, Balkan Tezer D, Hacibedel B, Akkoc N (2016) Direct and indirect healthcare costs of rheumatoid arthritis patients in Turkey. Clin Exp Rheumatol 34:1033–1037
Acknowledgments
The authors gratefully acknowledge Soffy Lopez for his support in obtaining the initial database of patients.
Funding
This study was funded by Pfizer Colombia.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
This work was funded by Pfizer. Pfizer did not participate in the management or data analysis of the study information.
Code availability
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Machado-Alba, J.E., Machado-Duque, M.E., Gaviria-Mendoza, A. et al. Use of healthcare resources in a cohort of rheumatoid arthritis patients treated with biological disease-modifying antirheumatic drugs or tofacitinib. Clin Rheumatol 40, 1273–1281 (2021). https://doi.org/10.1007/s10067-020-05432-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10067-020-05432-6