Skip to main content


Front. Pharmacol., 09 March 2021
Sec. Drugs Outcomes Research and Policies
Volume 12 - 2021 |

Is Prescription Nonredemption a Source of Poor Health Among the Roma? Cross-Sectional Analysis of Drug Consumption Data From the National Health Insurance Fund of Hungary

  • 1Doctoral School of Health Sciences, University of Debrecen, Debrecen, Hungary
  • 2Department of Public Health, College of Health Sciences, Mizan Tepi University, Mizan Aman, Ethiopia
  • 3Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
  • 4Department of Financing, National Health Insurance Fund, Budapest, Hungary
  • 5MTA-DE Public Health Research Group, University of Debrecen, Debrecen, Hungary

Background: The health status of the Roma is inferior to that of the general population. The causes of poor health among this population are still ambiguous, but they include low utilization of healthcare services. Our study aimed to investigate prescription redemptions in segregated Roma colonies (SRC) where the most disadvantaged quartile of Roma people are living.

Methods: A cross-sectional study was carried out with data obtained from the National Institute of Health Insurance Fund Management in the settlements belonging to the study area of the “Public Health-Focused Model Program for Organizing Primary Care Services.” The study included 4,943 residents of SRC and 62,074 residents of the complementary area (CA) of the settlements where SRC were located. Crude and age- and sex-standardized redemption ratios for SRC and CA were calculated for each Anatomic Therapeutic Chemical (ATC) group and for the total practice by ATC group. Standardized relative redemptions (RR) with 95% confidence intervals were calculated for SRC, with CA as a reference.

Results: The crude redemption ratios were 73.13% in the SRC and 71.15% in the CA. RRs were higher in the SRC than in the CA for cardiovascular, musculoskeletal system, and alimentary tract and metabolism drugs (11.5, 3.7, and 3.5%, respectively). In contrast, RRs were lower in the SRC than in the CA for anti-infective agents (22.9%) due to the poor redemption of medicines prescribed for children or young adults. Despite the overall modest differences in redemption ratios, some ATC groups showed remarkable differences. Those include cardiovascular, alimentary and musculoskeletal drugs.

Conclusion: Redemption of prescriptions was significantly higher among Roma people living in SRC than among those living in CA. The better redemption of cardiovascular and alimentary tract drugs was mainly responsible for this effect. These findings contradict the stereotype that the Roma do not use health services properly and that prescription non-redemption is responsible for their poor health.


Primary medication non-adherence or non-redemption of prescriptions occurs when patients do not dispense the new medications written by their health care providers (Adams and Stolpe, 2016). The World Health Organization (WHO) considers drug redemption to be an essential indicator of patient care and utilization of health care services among patients in primary health care (PHC) (WHO, 1993). Although better redemption of prescriptions is necessary for good health outcome, a recent meta-analysis revealed that the pooled primary medication nonadherence among patients with chronic diseases was 17% (Cheen et al., 2019). This escalates the negative outcomes of diseases and exposes patients to extra direct and indirect health expenditures (Jackson et al., 2014; Kleinsinger, 2018).

Ethnicity, gender, age, geographical location, socioeconomic status, and character of chronic disease have been shown to affect medication redemption (Butler et al., 2011; Fitzmaurice et al., 2019; Gast and Mathes, 2019). In addition, lack of motivation, low understanding of the severity of diseases, low education level, and poor cognitive ability reduce redemption ratios (Adams et al., 2015; Adams and Stolpe, 2016; Aznar-Lou et al., 2017). Medication- or drug-related barriers including side effects, complex combinations of drugs, inconvenient application, cost, and time requirement push patients to not fill prescriptions (Davidson et al., 2019). Other barriers include poor communication between the patient and practitioners, and asymptomatic diseases (Cooper et al., 1982; Gellad et al., 2009).

The Roma constitute the largest European ethnic minority, and they account for 1.7% of the population (European Commission, 2011). They originated from the northwestern Indian subcontinent and arrived in Europe between the 10th and the 12th century. Later, they were distributed throughout Europe (Gresham et al., 2001), but remained a marginalized social group with a disadvantaged health status (Ádány, 2014).

As has been convincingly demonstrated, the misuse of primary and secondary healthcare services is a risk factor for poor health among this population (Ekuklu et al., 2003; Colombini et al., 2012; Jakab et al., 2017; Sándor et al., 2018). Because of unresolved methodological problems of ethnicity-related health studies (identification of members of ethnic minorities) in the European legal environment (Janka et al., 2018), the determinants of health care use have not been explored in detail. Consequently, there are no effective interventions for this risk factor (Janka et al., 2018), and the perceived misuse contributes to the development of a blaming attitude toward the Roma among health professionals, which becomes a distinct obstacle for targeted interventions (Dougherty, 1993; Miranda et al., 2019). Unfortunately, primary medication adherence as a substantial indicator of appropriate healthcare use has not yet been investigated properly among the Roma.

According to a recent investigation, the Roma constitute approximately 9% of the total population in Hungary (Teller, 2010; Pásztor et al., 2016). Their most vulnerable stratum, representing 21.8% of the Hungarian Roma population, is living in segregated Roma colonies (SRC) (Teller, 2010). The substantial health inequality between the Roma and the general population has been demonstrated in many contexts in Hungary and other European countries (European Union Agency for Fundamental Rights, 2009a; Balkowski and Paweł Czyba, 2011; Ádány, 2013).

The legal opportunity to investigate the health of Roma people living in SRC has recently been established in Hungary by elaborating the transformation of investigations comparing Roma people to non-Roma people at the individual level to geographical inequality analysis, in which the group of Roma people living in SRC is compared to groups of people living in the same settlement’s complementary area (CA). This approach could describe the excess premature mortality among Roma people in SRC and the restricted availability of secondary care for this population (Sándor et al., 2018).

The National Institute of Health Insurance Fund Management (NHIFM) is an institution that covers the whole country. It is contracted with each general practitioner (GP) and with each pharmacy, and it centrally registers drug prescriptions and redemptions. Combining the drug consumption database of the NHIFM (Harsha et al., 2019a) and the legal opportunity for SRC investigation, an investigation of primary medication adherence among Roma people in SRC in Hungary is feasible without violating Roma rights.

The objectives of our study were to utilize this opportunity 1) by investigating prescription redemption among Roma people living in SRC and people living in the CA of the study area, 2) by assessing age- and sex-standardized relative redemption ratios for SRC, in order to, 3) support the formulation of health policy by exploring an important determinant of the population-level health status of the most vulnerable stratum of Roma people.

Materials and Methods


This study was a part of the “Public Health Focused Model Program for Organising Primary Care Services Backed by a Virtual Care Service Center” program in Hungary (Ádány, 2013). The main aim of this program was to reorganize preventive service delivery at PHCs by the GP team and to provide improved care without discriminating against the Roma people (Sándor et al., 2016). This program was conducted in 21 general medical practices from Borsod-Abauj-Zemplen, Heves, Jasz-Nagykun-Szolnok, and Hajdu-Bihar counties located in northeastern Hungary in the period of 2012–2017.

Applying the definition of SRC as a segregated part of the settlement with at least four disadvantaged residential units (apartment/house/block of rooms/hut), with a lower housing condition and poorer environmental quality than the CA (Kósa et al., 2009; Sándor et al., 2018), a survey was carried out to identify addresses belonging to the SRCs as a part of our presented study by epidemiologist of the intervention program. Because, GP knew addresses of each patient, they could classify their clients as SRC inhabitant or CA inhabitant. In the intervention area, there were 67,017 residents. Among these residents, the numbers of inhabitants living in SRC and in the CA were 4,943 and 62,074, respectively.

Our investigation was carried out in 2012 before the interventions had been launched.

Data Sources

Data were provided by the NIHIFM. The unit of analysis was the prescription written by the health care provider and redeemed by the patient during the calendar year of 2012 before the interventions of the program had been launched (Sándor et al., 2016). The age- (applied age groups: 0–17, 18–24, 25–44, 45–64, and 65 years and above) and sex-specific nominators and denominators of the prescription redemptions were computed for the SRC and the CA. The prescribed medications were classified according to the WHO, 2012 version of the Anatomic Therapeutic Chemical (ATC) first level classification of drugs (WHO, 2011). Prescriptions written for all age groups were included in the analysis.

Statistical Analysis

The crude redemption ratios were calculated by age, sex, and ATC group for the SRC, the CA, and Hungary. Indirect standardization was applied to ensure the comparability of SRC- and CA-specific indicators. Age- and sex-specific expected proportions of redeemed prescriptions were calculated by age- and sex-specific numbers of written prescriptions and the national reference redeemed-to-written ratio for all strata (Harsha et al., 2019a; Harsha et al., 2019b). To control for the confounding effect of the demographic factors, standardized redemption ratios (SRRs) were calculated by dividing accumulated age- and sex-specific numbers of observed redemptions by accumulated age- and sex-specific numbers of expected redemptions of prescribed drugs for both the SRC and the CA.

Relative redemption (RR), the ratio of SRRs for the SRC to SRRs for the CA, along with the corresponding 95% confidence interval (95% CI), was calculated for each ATC group and for the total practice. Attributable numbers of redemptions were calculated as the product of the difference in SRRs for the SRC and CA and the expected number of redemptions in the SRC.


Males constituted 50.23% of the SRC population and 48.28% of the CA population. In the SRC, 38.94% of the inhabitants were children aged 0–17 years, compared to 16.07% in the CA. The proportion of people aged 65 years and above was 3.7% in the SRC and 17.16% in the CA. The differences in age and sex distribution between the two populations were statistically significant by the chi-squared test (p < 0.001) (Figure 1).


FIGURE 1. Demographic structures of investigated populations living in segregated Roma colonies (SRC) and complementary areas (CA).

In 2012, the national crude redemption ratio was 66.8% (84,323,051/126,223,796). Variations across age groups were noted, with higher redemption ratios reported for children and the elderly population (69.78 and 68.36%, respectively). Females redeemed medications more often than males. Differences observed by age and sex were statistically significant (Supplementary Table S1). By ATC group (Supplementary Table S2), the highest redemption ratios in the country were reported for anti-infective agents for systemic use (76.80%) and antiparasitic products, insecticides and repellents (75.33%), while the lowest ratios were reported for dermatological drugs (63.07%) and cardiovascular system drugs (63.12%) (details on demographic stratum-specific redemption ratios by ATC class are provided in Supplementary Tables S3A,V).

In the SRC, the crude redemption ratio for total practice was 73.13% (46,107 prescriptions were written, and 33,720 were redeemed) (Table 1). In the CA, the redemption ratio was 71.15% (900,901 prescriptions were written, and 640,950 prescriptions were redeemed). Redemption was below the average for children in both populations (58.08% in the SRC and 68.23% in the CA). Elderly adults aged 65 years and above reported better redemption in both the SRC and CA (74.69% and 72.36%, respectively). The SRC redemption ratios in each demographic group except for children and youngest adults were higher than those in the reference population. Redemption of cardiovascular drugs was relatively high in the SRC (74.92%) but was lowest in the CA (67.15%). In contrast, redemption of anti-infective agents for systemic use was relatively high in the CA (74.67%) but was lowest in the SRC (57.60%).


TABLE 1. Crude prescription redemption ratio by sociodemographic characteristic and ATC class for segregated Roma colonies and complementary area.

The SRR for total practice was 1.027 [95% CI: 1.016–1.038] in the SRC and 0.999 [95% CI: 0.996–1.001] in the CA (Table 2). The RR was 1.028 [95% CI: 1.018–1.038]. Thus, a 2.8% better redemption was observed in the SRC than in the CA. Significant differences were reported for alimentary tract and metabolism-related drugs (RR = 1.035), cardiovascular agents (RR = 1.115), musculoskeletal system drugs (RR = 1.037) and drugs belonging to the various ATC group (RR = 1.088), which were better redeemed in the SRC. Conversely, anti-infectives for systemic use (RR = 0.771, 95% CI: 0.753–0.791) and drugs of sensory organs (RR = 0.875) showed significantly lower redemption in the SRC.


TABLE 2. Standardized redemption ratios by ATC class among segregated Roma colonies and complementary area.

Concerning the population-level impact, excess redemption was 1,051 prescriptions (11.5%) for cardiovascular agents, 173 (3.5%) for alimentary tract and metabolism-related drugs, and 141 (3.7%) for musculoskeletal system drugs in the SRC (Table 2). Inversely, for anti-infectives and sensory organ agents, 1,100 (22.9%) and 45 (12.5%) prescriptions were not redeemed in the SRC, respectively. In all, an excess of 920 (2.8%) redemptions was observed in the SRC compared to the CA.


Main Findings in the International Context

This is the first study to investigate primary medication adherence among Roma people. We could evaluate redemption in the most vulnerable subgroup of Roma people who live in SRC by standardizing the redemption according to patient age and sex using Hungarian stratum-specific redemption ratios as a reference.

In general, the Hungarian crude redemption ratio (66.8%) was higher than those reported in the United States (60.7%) (Fernández et al., 2017) and Netherlands (48.5%) (van Geffen et al., 2009), but lower than the global estimate reported in a recent systematic review and meta-analysis (83%) (Cheen et al., 2019) and the crude redemption ratio reported in Portugal (77.2%) (da Costa et al., 2015) and Denmark (90.7%) (Pottegård et al., 2014). The discordance with a systematic review and meta-analysis might be due to firm follow up and good patient-physician relationship at comprehensive chronic care unit for chronic diseases. The positive effect of female sex on redemption in Hungary was found to be weak but statistically significant, which is consistent with observations from the United Kingdom, the United States and South Korea (Hagström et al., 2004; Farris et al., 2018; Lee et al., 2018). The relatively low redemption ratio among young and middle-aged Hungarian adults also fits the reported age dependency from other countries (Cooper et al., 1982; Mansur et al., 2009; Wenger et al., 2017).

Altogether, the observed primary medication adherence was better in the SRC than in the CA. The observed 2.8% excess corresponds to 920 redemptions a year in the population of 4,943 Roma people living in the SRC. Higher redemption rates in disadvantaged populations, as indicated by low levels of education and high level of deprivation, was observed previously in Hungarian studies (Boruzs et al., 2016; Boruzs et al., 2018; Harsha et al., 2019a; Harsha et al., 2019b; Juhász et al., 2020) and in other countries as well (Mauskop and Borden, 2011; Jackson et al., 2014; Rosicova et al., 2015; Ferdinand et al., 2017; Pandya and Bajorek, 2017; Lee et al., 2018; Gast and Mathes, 2019).

Cardiovascular drugs and alimentary tract and metabolism-related medications constituted the highest share of the prescriptions in both investigated populations. This reflects the prevalence of these chronic diseases in Hungary, as has been reported in previous studies (Balogh et al., 2010; Szigethy et al., 2012). Roma people living in the SRC exhibited better redemption of cardiovascular drugs (11.5%) and alimentary tract and metabolism-related drugs (3.5%) than those living in the CA, a difference that was confirmed by the standardized analysis.

Considering the number of prescriptions, the third most important ATC class is the group of anti-infectives for systemic use. The redemption inequality in this ATC group showed a reverse pattern: the redemption ratio was relatively high in the CA but lowest in the SRC, resulting in a significantly lower redemption ratio for the SRC. We found lower general redemption ratios in the SRC among children and the young adult age groups (Table 1), and a low relative importance of cardiovascular (0.7% of prescriptions, Supplementary Table 3C) and alimentary tract drugs (10.6% of prescriptions, Supplementary Table 3A) due to the low prevalence of chronic diseases among children and young adults. In addition, we observed a high importance of infections and anti-infective drugs among these groups (72.5% of prescriptions, Supplementary Table 3J). This lower redemption ratio among children could be the explanatory factor behind the observed deviation of the anti-infective redemption habit in the SRC from the general pattern. However, further investigation is needed to determine whether the causal mechanism behind this pattern is the impact of a Roma culture-related attitude toward children or the avoidance of antibiotic overuse among the Roma (Porco et al., 2012; Basu and Garg, 2018). The role of the poor living conditions determined high rate of infective disorders (reflected in the higher proportion of both prescription and redemption of antibiotics) in SRCs (Table 1) needs clarification as well.

Practical Implications

Our study demonstrated that blaming the Roma for their poor health (beyond the fact that it is ethically unacceptable and it is a factor that contributes to the maintenance of their poor health) (European Union Agency for Fundamental Rights, 2009b; FRA/UNDP, 2013; Miranda et al., 2019) cannot be supported by data on primary medication adherence. Moreover, responsible health policy should consider the relatively good primary medication adherence of this population as an opportunity to organize culturally adapted interventions. When the poor healthcare utilization of this population is targeted by an intervention (Miranda et al., 2019), this factor should be added to the resources of the program. Our observations suggest that GPs should prefer medication based care instead of the non-medication based (life style modification, physiotherapy etc.) approaches for inhabitants of SRCs.

Strengths and Limitations

This study used data from the NHIFM, which covers the whole country. Selection bias is likely very low, as we included all the residents’ prescriptions in the study area. Because, this database has no data on the use of dispensed medications, only the primary non-adherence could be evaluated. Further, our study due to the SRC vs CA comparison design could avoid all the uncertainties which are related to the person level identification of Roma participants.

However, our study has some limitations. Although our study recruited a large sample, this does not mean that it shows representative national Roma figures. The main limitation is that our results cannot be interpreted as an indicator of Roma vs non-Roma differences. On one hand, 6% of people living in SRC are non-Roma (Kósa et al., 2013). On the other hand, three-quarters of the Roma are living in the CA in Hungary (Teller, 2010). Consequently, our SRC-based analysis underestimated the real Roma-to-non-Roma differences.

A weakness of this study is that its dataset is from 2012. But the primary medication adherence of SRCs’ inhabitants had been not investigated before. It was not known whether the primary medication adherence is one of the risk factors for Roma people. The intervention program could build up the necessary database in 2012. Taking into consideration the significance of our results further studies are needed, obviously, to monitor the primary medication adherence among Roma people.

A prescription is proof that the medicine is needed for the patient. The confounding effect from the obvious influence of clinical status on the motivation of the patient to purchase the medicine is controlled by the prescription itself, as the prescription does fit the clinical status of the patient.

Although, price of drugs is one of the key factors that affect redemption, economic explanations for the observations could not be formulated in this investigation, because data on participants’ income were not collected to avoid the jeopardisation of trust between participants and implementation staff of the intervention program and data of the NHIF on co-payment for drug purchasing was not allowed to use in our study. Therefore, the complex issue of economic risk factors of primary medication adherence could not be investigated in our project. Their role needs further studies. It restricts the interpretation, but not the validity of our reported findings.

The availability of PHC in Hungary is among the best in Europe. Moreover, it has been reported that the Roma people living in SRC visit the GP more frequently than does the general population (Sándor et al., 2018). It appears improbable that limited access to primary care could somehow influence redemption practices.


According to our observations, redemption of prescriptions was significantly higher (2.8%) among Roma people living in segregated colonies than among inhabitants of the same settlements’ complementary areas. The better redemption for cardiovascular (11.5%) and alimentary tract (3.5%) drugs was mainly responsible for this effect. It was not neutralized by the low redemption of anti-infective medicines (−23%) elicited by the critically low redemption among children and young adults.

These findings suggest that the primary medication adherence among Roma people living in segregations does not fit the general pattern reported by many studies that Roma people do not use health services properly and that prescription non-redemption is not responsible for the poor health of the Roma people. It also underlines the necessity of caution when cultural adaptations of interventions are planned and implemented for the Roma and that the in-depth study cannot be replaced by generalization of some distinct, even very convincing, findings. Moreover, our results suggest that the primary medication adherence of the Roma should be considered as an opportunity to develop their empowerment and to improve their health status.

Data Availability Statement

The data analyzed in this study is subject to the following licenses/restrictions: The drug consumption datasets of the National Health Insurance Fund are not available, in general. The research project had ocassional permission to use these data. The datasets generated and/or analyzed in our investigation are available from the corresponding author on reasonable request. Requests to access these datasets should be directed to

Ethics Statement

This study involved secondary database analysis. Given that the analysis does not reveal any personal identifier or individual information, and based on the Hungarian regulations, no ethical approval was required.

Author Contributions

BB and NH prepared the literature review, analyzed and interpreted the data, and prepared the draft of the paper; LK and FV prepared the primary database; FV analyzed and interpreted the data; ÁC interpreted the results and finalized the manuscript; and RÁ and JS elaborated on the design, conceived and interpreted the results, and finalized the manuscript. All authors read and approved the final manuscript.


The reported study was carried out in the framework of the “Public Health-Focused Model Program for Organizing Primary Care Services Backed by a Virtual Care Service Center” (SH/8/1). The Model Program is funded by the Swiss Government via the Swiss Contribution Program (SH/8/1) in agreement with the government of Hungary. Additional sources of funding were from the GINOP-2.3.2-15-2016-00005 project, which was co-financed by the European Union and the European Regional Development Fund and from the Stipendium Hungaricum Scholarship Program (grant SHE-15324-002/2018 to BBB and 124219 to NH). Funders have no role in design, collection, analysis, interpretations, and publication processes.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at:


ATC, anatomic therapeutic chemical; CA, complementary area; GP, general practitioner; NIHIFM, national institute of health insurance fund management; PHC, primary health care; RR, relative redemption; SRC, segregated roma colonies; SRR, standardized redemption ratio; WHO, world health organization


Adams, A. J., Hubbard, T., Stolpe, S. F., and Cranston, L. (2015). The first fill factor: a threat to outcomes, quality, and payment goals. Available at: (Accessed February 5, 2020). doi:10.1126/science.caredit.a1500041

CrossRef Full Text | Google Scholar

Adams, A. J., and Stolpe, S. F. (2016). Defining and measuring primary medication nonadherence: development of a quality measure. J. Manag. Care Spec. Pharm. 22, 516–523. doi:10.18553/jmcp.2016.22.5.516

PubMed Abstract | CrossRef Full Text | Google Scholar

Ádány, R. (2013). Operations manual for GP’s cluster on public health services in primary health care version 05. Available at: (Accessed February 2, 2020).

Google Scholar

Ádány, R. (2014). Roma health is global ill health. Eur. J. Public Health 24, 702–703. doi:10.1093/eurpub/cku143

PubMed Abstract | CrossRef Full Text | Google Scholar

Aznar-Lou, I., Fernández, A., Gil-Girbau, M., Fajó-Pascual, M., Moreno-Peral, P., Peñarrubia-María, M. T., et al. (2017). Initial medication non-adherence: prevalence and predictive factors in a cohort of 1.6 million primary care patients. Br. J. Clin. Pharmacol. 83, 1328–1340. doi:10.1111/bcp.13215

PubMed Abstract | CrossRef Full Text | Google Scholar

Balkowski, J., and Paweł Czyba, Ł. K. (2011). Situation of the roma minority in the Czech republic, Hungary, Poland and Slovakia. Available at: (Accessed January 30, 2020).

Google Scholar

Balogh, S., Papp, R., Jozan, P., and Csaszar, A. (2010). Continued improvement of cardiovascular mortality in Hungary-impact of increased cardio-metabolic prescriptions. BMC Public Health 10, 422. doi:10.1186/1471-2458-10-422

PubMed Abstract | CrossRef Full Text | Google Scholar

Basu, S., and Garg, S. (2018). Antibiotic prescribing behavior among physicians: ethical challenges in resource-poor settings. J. Med. Ethics Hist. Med. 11, 5.

PubMed AbstractGoogle Scholar

Boruzs, K., Juhász, A., Nagy, C., Ádány, R., and Bíró, K. (2016). Relationship between statin utilization and socioeconomic deprivation in Hungary. Front. Pharmacol. 7, 66. doi:10.3389/fphar.2016.00066

PubMed Abstract | CrossRef Full Text | Google Scholar

Boruzs, K., Juhász, A., Nagy, C., Szabó, Z., Jakovljevic, M., Bíró, K., et al. (2018). High inequalities associated with socioeconomic deprivation in cardiovascular disease burden and antihypertensive medication in Hungary. Front. Pharmacol. 9, 839. doi:10.3389/fphar.2018.00839

PubMed Abstract | CrossRef Full Text | Google Scholar

Butler, R. J., Davis, T. K., Johnson, W. G., and Gardner, H. H. (2011). Effects of nonadherence with prescription drugs among older adults. Am. J. Manag. Care 17, 153–160.

PubMed AbstractGoogle Scholar

Cheen, M. H. H., Tan, Y. Z., Oh, L. F., Wee, H. L., and Thumboo, J. (2019). Prevalence of and factors associated with primary medication non‐adherence in chronic disease: a systematic review and meta‐analysis. Int. J. Clin. Pract. 73, e13350. doi:10.1111/ijcp.13350

PubMed Abstract | CrossRef Full Text | Google Scholar

Colombini, M., Rechel, B., and Mayhew, S. H. (2012). Access of Roma to sexual and reproductive health services: qualitative findings from Albania, Bulgaria and Macedonia. Glob. Public Health 7, 522–534. doi:10.1080/17441692.2011.641990

PubMed Abstract | CrossRef Full Text | Google Scholar

Cooper, J. K., Love, D. W., and Raffoul, P. R. (1982). Intentional prescription nonadherence (noncompliance) by the elderly. J. Am. Geriatr. Soc. 30, 329–333. doi:10.1111/j.1532-5415.1982.tb05623.x

PubMed Abstract | CrossRef Full Text | Google Scholar

da Costa, F. A., Pedro, A. R., Teixeira, I., Bragança, F., da Silva, J. A., and Cabrita, J. (2015). Primary non-adherence in Portugal: findings and implications. Int. J. Clin. Pharm. 37, 626–635. doi:10.1007/s11096-015-0108-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Davidson, E., Lam, S., and Sokn, E. (2019). Predictors of medication nonadherence from outpatient pharmacy data within a large, academic health system. J. Pharm. Pract. 32, 175–178. doi:10.1177/0897190017748048

PubMed Abstract | CrossRef Full Text | Google Scholar

Dougherty, C. J. (1993). Bad faith and victim-blaming: the limits of health promotion. Health Care Anal. 1, 111–119. doi:10.1007/BF02197104

PubMed Abstract | CrossRef Full Text | Google Scholar

Ekuklu, G., Berberoglu, U., Eskiocak, M., and Saltik, A. (2003). Utilization of primary health care services by Turkish gypsies and members of the general population at Muradiye health unit district in edirne, Turkey. Yonsei Med. J. 44, 414–423. doi:10.3349/ymj.2003.44.3.414

PubMed Abstract | CrossRef Full Text | Google Scholar

European Commission (2011). European commission: communication from the commission to the european parliament, the council, the european economic and social committee and the committee of the regions. An EU framework for national roma integration strategies up to 2020. Available at: (Accessed August 29, 2020).

Google Scholar

European Union Agency for Fundamental Rights (2009a). Case study: combating roma residential segregation. Luxembourg, Europe: Publications Office.

European Union Agency for Fundamental Rights (2009b). The Roma’, Data in focus report. Luxembourg, Europe: Publications Office.

Farris, B., Shakowski, C., Mueller, S. W., Phong, S., Kiser, T. H., and Jacknin, G. (2018). Patient nonadherence to filling discharge medication prescriptions from the emergency department: barriers and clinical implications. Am. J. Heal. Pharm. 75, 316–320. doi:10.2146/ajhp170198

CrossRef Full Text | Google Scholar

Ferdinand, K. C., Senatore, F. F., Clayton-Jeter, H., Cryer, D. R., Lewin, J. C., Nasser, S. A., et al. (2017). Improving medication adherence in cardiometabolic disease: practical and regulatory implications. J. Am. Coll. Cardiol. 69, 437–451. doi:10.1016/j.jacc.2016.11.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernández, A., Quan, J., Moffet, H., Parker, M. M., Schillinger, D., and Karter, A. J. (2017). Adherence to newly prescribed diabetes medications among insured latino and white patients with diabetes. JAMA Intern. Med. 177, 371. doi:10.1001/jamainternmed.2016.8653

PubMed Abstract | CrossRef Full Text | Google Scholar

Fitzmaurice, C., Abate, D., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdel-Rahman, O., et al. (2019). Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: a systematic analysis for the global burden of disease study. JAMA Oncol. 5 (12), 1749–1768. doi:10.1001/jamaoncol.2019.2996

CrossRef Full Text | Google Scholar

FRA/UNDP (2013). Inequalities and multiple discrimination in access to and quality of healthcare. Luxembourg, Europe: European Union Agency for Fundamental Rights.

Gast, A., and Mathes, T. (2019). Medication adherence influencing factors-an (updated) overview of systematic reviews. Syst. Rev. 8, 112. doi:10.1186/s13643-019-1014-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Gellad, W. F., Grenard, J., and McGlynn, E. A. (2009). A review of barriers to medication adherence. A framework for driving policy options. Available at: (Accessed January 30, 2020). Santa Monica, CA: RAND.

Google Scholar

Gresham, D., Morar, B., Underhill, P. A., Passarino, G., Lin, A. A., Wise, C., et al. (2001). Origins and divergence of the roma (gypsies). Am. J. Hum. Genet. 69, 1314–1331. doi:10.1086/324681

PubMed Abstract | CrossRef Full Text | Google Scholar

Hagström, B., Mattsson, B., Rost, I.-M., and Gunnarsson, R. K. (2004). What happened to the prescriptions?: a single, short, standardized telephone call may increase compliance. Fam. Pract. 21, 46–50. doi:10.1093/fampra/cmh110

PubMed Abstract | CrossRef Full Text | Google Scholar

Harsha, N., Kőrösi, L., Pálinkás, A., Bíró, K., Boruzs, K., Ádány, R., et al. (2019a). Determinants of primary nonadherence to medications prescribed by general practitioners among adults in Hungary: cross-sectional evaluation of health insurance data. Front. Pharmacol. 10, 1280. doi:10.3389/fphar.2019.01280

PubMed Abstract | CrossRef Full Text | Google Scholar

Harsha, N., Papp, M., Kőrösi, L., Czifra, Á., Ádány, R., and Sándor, J. (2019b). Enhancing primary adherence to prescribed medications through an organized health status assessment-based extension of primary healthcare services. Int. J. Environ. Res. Public Health 16, 3797. doi:10.3390/ijerph16203797

CrossRef Full Text | Google Scholar

Jackson, T. H., Bentley, J. P., McCaffrey, D. J., Pace, P., Holmes, E., and West-Strum, D. (2014). Store and prescription characteristics associated with primary medication nonadherence. J. Manag. Care Pharm. 20, 824–832. doi:10.18553/jmcp.2014.20.8.824

CrossRef Full Text | Google Scholar

Jakab, Z., Juhasz, A., Nagy, C., Schuler, D., and Garami, M. (2017). Trends and territorial inequalities of incidence and survival of childhood leukaemia and their relations to socioeconomic status in Hungary, 1971–2015. Eur. J. Cancer Prev. 26, S183–S190. doi:10.1097/cej.0000000000000386

PubMed Abstract | CrossRef Full Text | Google Scholar

Janka, E. A., Vincze, F., Ádány, R., and Sándor, J. (2018). Is the definition of Roma an important matter? The parallel application of self and external classification of ethnicity in a population-based health interview survey. Int. J. Environ. Res. Public Health 15, 353. doi:10.3390/ijerph15020353

CrossRef Full Text | Google Scholar

Juhász, A., Nagy, C., Varga, O., Boruzs, K., Csernoch, M., Szabó, Z., et al. (2020). Antithrombotic preventive medication prescription redemption and socioeconomic status in Hungary in 2016: a cross-sectional study. Int. J. Environ. Res. Public Health 17, 6855. doi:10.3390/ijerph17186855

CrossRef Full Text | Google Scholar

Kleinsinger, F. (2018). The unmet challenge of medication nonadherence. Perm. J. 22, 18–33. doi:10.7812/TPP/18-033

CrossRef Full Text | Google Scholar

Kósa, I., Nemes, A., Belicza, E., Király, F., and Vassányi, I. (2013). Regional differences in the utilisation of coronary angiography as initial investigation for the evaluation of patients with suspected coronary artery disease. Int. J. Cardiol. 168, 5012–5015. doi:10.1016/j.ijcard.2013.07.148

PubMed Abstract | CrossRef Full Text | Google Scholar

Kósa, K., Daragó, L., and Ádány, R. (2009). Environmental survey of segregated habitats of Roma in Hungary: a way to be empowering and reliable in minority research. Eur. J. Public Health 21, 463–468. doi:10.1093/eurpub/ckp097

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, Y.-M., Kim, R. B., Lee, H. J., Kim, K., Shin, M.-H., Park, H.-K., et al. (2018). Relationships among medication adherence, lifestyle modification, and health-related quality of life in patients with acute myocardial infarction: a cross-sectional study. Health Qual. Life Outcomes 16, 100. doi:10.1186/s12955-018-0921-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Mansur, N., Weiss, A., and Beloosesky, Y. (2009). Geriatrics: is there an association between inappropriate prescription drug use and adherence in discharged elderly patients? Ann. Pharmacother. 43, 177–184. doi:10.1345/aph.1L461

PubMed Abstract | CrossRef Full Text | Google Scholar

Mauskop, A., and Borden, W. B. (2011). Predictors of statin adherence. Curr. Cardiol. Rep. 13, 553–558. doi:10.1007/s11886-011-0221-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Miranda, D. E., Garcia-Ramirez, M., Balcazar, F. E., and Suarez-Balcazar, Y. (2019). A community-based participatory action research for roma health justice in a deprived district in Spain. Int. J. Environ. Res. Public Health 16, 3722. doi:10.3390/ijerph16193722

CrossRef Full Text | Google Scholar

Pandya, E. Y., and Bajorek, B. (2017). Factors affecting patients’ perception on, and adherence to, anticoagulant therapy: anticipating the role of direct oral anticoagulants. Patient 10, 163–185. doi:10.1007/s40271-016-0180-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Pásztor, I., Pénzes, J., Tátrai, P., and Pálóczi, Á. (2016). The number and spatial distribution of the Roma population in Hungary—in the light of different approaches. Folia Geographica. 58, 5–21.

Google Scholar

Porco, T. C., Gao, D., Scott, J. C., Shim, E., Enanoria, W. T., Galvani, A. P., et al. (2012). When does overuse of antibiotics become a tragedy of the commons? PLoS One 7, e46505. doi:10.1371/journal.pone.0046505

PubMed Abstract | CrossRef Full Text | Google Scholar

Pottegård, A., Christensen, R. d., Houji, A., Christiansen, C. B., Paulsen, M. S., Thomsen, J. L., et al. (2014). Primary non-adherence in general practice: a Danish register study. Eur. J. Clin. Pharmacol. 70, 757–763. doi:10.1007/s00228-014-1677-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosicova, K., Reijneveld, S. A., Madarasova Geckova, A., Stewart, R. E., Rosic, M., Groothoff, J. W., et al. (2015). Inequalities in mortality by socioeconomic factors and Roma ethnicity in the two biggest cities in Slovakia: a multilevel analysis. Int. J. Equity Health 14, 123. doi:10.1186/s12939-015-0262-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Sándor, J., Kósa, K., Papp, M., Fürjes, G., Kőrösi, L., Jakovljevic, M., et al. (2016). Capitation-based financing hampers the provision of preventive services in primary health care. Front. Public Health 4, 200. doi:10.3389/fpubh.2016.00200

PubMed Abstract | CrossRef Full Text | Google Scholar

Sándor, J., Pálinkás, A., Vincze, F., Kovács, N., Sipos, V., Kőrösi, L., et al. (2018). Healthcare utilization and all-cause premature mortality in Hungarian segregated roma settlements: evaluation of specific indicators in a cross-sectional study. Int. J. Environ. Res. Public Health 15, 1835. doi:10.3390/ijerph15091835

CrossRef Full Text | Google Scholar

Szigethy, E., Széles, G., Horváth, A., Hidvégi, T., Jermendy, G., Paragh, G., et al. (2012). Epidemiology of the metabolic syndrome in Hungary. Public Health 126, 143–149. doi:10.1016/j.puhe.2011.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Teller, N. (2010). “Adaptációs csapdák,” 203–218. In: Roma kutatésok, 2010 - élethelyzetek a társadalom peremén, Editors K. E. Budapest, N. Család- és Szociálpolitikai Intézet, 2011. Available at:

Google Scholar

van Geffen, E. C. G., Gardarsdottir, H., van Hulten, R., van Dijk, L., Egberts, A. C. G., and Heerdink, E. R. (2009). Initiation of antidepressant therapy: do patients follow the GP’s prescription? Br. J. Gen. Pract. 59, 81–87. doi:10.3399/bjgp09X395067

PubMed Abstract | CrossRef Full Text | Google Scholar

Wenger, N. K., Doherty, C. L., Gurwitz, J. H., Hirsch, G. A., Holmes, H. M., Maurer, M. S., et al. (2017). Optimization of drug prescription and medication management in older adults with cardiovascular disease. Drugs Aging 34, 803–810. doi:10.1007/s40266-017-0494-2

PubMed Abstract | CrossRef Full Text | Google Scholar

WHO (1993). How to investigate drug use in health facilities: selected drug use indicators-EDM research series. Geneva, Switzerland: World Health Organization.

WHO (2011). WHO collaborating Centre for drug statistics methodology. Structure and principles. Geneva, Switzerland: World Health Organization.

Keywords: prescription non-redemption, Roma people, cardiovascular drugs, alimentary tract drugs, anti-infective agents

Citation: Bekele BB, Harsha N, Kőrösi L, Vincze F, Czifra Á, Ádány R and Sándor J (2021) Is Prescription Nonredemption a Source of Poor Health Among the Roma? Cross-Sectional Analysis of Drug Consumption Data From the National Health Insurance Fund of Hungary. Front. Pharmacol. 12:616092. doi: 10.3389/fphar.2021.616092

Received: 11 October 2020; Accepted: 28 January 2021;
Published: 09 March 2021.

Edited by:

Lisa G. Pont, University of Technology Sydney, Australia

Reviewed by:

Ria Benko, University of Szeged, Hungary
Ramesh Poudel, Tribhuvan University, Nepal

Copyright © 2021 Bekele, Harsha, Kőrösi, Vincze, Czifra, Ádány and Sándor. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: János Sándor,