Risk Factors and the Usual Source of Care on Non-Adherence to Antihypertensive Drugs in Immigrants with Hypertension

Abstract

Background

Immigrants are vulnerable to suboptimal health care utilization including non-adherence of medication use. Thus, we aimed to identify the potential risk factors of non-adherence and evaluate whether utilizing a usual source of care was associated with medication adherence in immigrants.

Methods

We utilized the Korea National Health Insurance Claims Database between 2012 and 2015. Cases were immigrants who had antihypertensive prescriptions at the time of hypertension diagnosis in 2012. Controls were native-born Koreans with hypertension who were 1:1 matched to immigrants by age, sex, and Charlson comorbidity index. We used the medication possession ratio for three years to assess the adherence to antihypertensive drugs. The likelihood of non-adherence was evaluated between cases and controls by multivariate linear regression models stratified by age, sex, and number of clinic visits. We assessed the potential risk factors of non-adherence in immigrants by multivariate linear regression and logistic regression models, respectively.

Results

In total, 4114 immigrants and 4114 matched native-born Koreans with hypertension were included. The mean MPR was significantly lower in immigrants (56% vs 70%, p<0.0001). Immigrants showed almost two times the level of non-adherence as native-born Koreans (odds ratio [OR], 2.01; 95% confidence interval [CI], 1.83–2.21). Stratified analyses on non-adherence presented the highest non-adherence (2.28 times) in immigrants in the younger group (30–49 years old) and the lowest non-adherence in immigrants in 65 and old group where the risk was 1.69 times higher than native Korean with the same age. The absence of a usual source of care significantly increased medication non-adherence by 1.31 to 1.58 times among immigrants.

Conclusion

When the number of visited clinics increased, the degree of non-adherence increased consistently. Therefore, the systematization of registering with primary care (a usual source of care) might be a modifiable health care strategy to improve health care outcomes in immigrants.

Keywords:

• usual source of care
• hypertension
• immigrants
• health care strategy

Introduction

Immigrants are a minority group that experiences inequities in health outcomes. Extensive migration during the past 100 years has changed many regions of the world and posed new challenges, including challenges on health care services and policies to facilitate the smooth acculturation of immigrants.^1,2 Risk factors for suboptimal health care outcomes in immigrants include low socioeconomic status, passive health care–seeking behaviors, low access to care due to language and knowledge barriers, and other unrecognized factors derived from the health system or health care workers.³ As immigrants usually move from under-developed settings to industrial and urbanized societies,¹ the resultant environmental shift might cause an increased risk of cardiovascular disease (CVD) in immigrants comparable to the level presented in developed countries.

CVD has been the global leading cause of death for the last 15 years.⁴ As the treatment of hypertension is associated with a 20% to 25% reduction in CVD,⁵ hypertension management is an essential aspect of reducing the high burden of CVD-associated mortality. Although significant improvements in the screening and treatment of hypertension have been achieved in recent years, health care disparities persist among different social, economic, and ethnic groups.⁶ In the USA, among treated patients, a smaller proportion (49.7%) of black men achieved hypertension control than white men (65.0%) in 2018.⁶ Immigrants from China showed a lower rate of hypertension treatment than native Italians, despite a similar rate of awareness of the disease.⁷

Korea is no longer a racially and ethnically homogeneous country and not an exception from other advanced countries that have confronted health care disparity problems that emerged by certain racial and immigrant groups. The number of immigrants in Korea has increased rapidly, reaching 2.3 million in 2018 (4.6% of the population).⁸ The health care problems of immigrants may pose increasing economic and societal burdens on the future health care system. Adequate health insurance and policies facilitate the utilization of preventive services and improve general health, physical functioning, and health outcomes in individuals with acute and chronic diseases.⁹ Well adopted health care policies have been associated with a 40% decreased risk of premature death¹⁰ in the USA. Thus establishing a robust and promising health care plan in advance for immigrants should be an important strategy of future-oriented policy-making as well.

Medication non-adherence is a leading cause of inadequate hypertension management, which results in CVD, stroke, and chronic kidney disease.¹¹ About 50% of patients with CVD have suboptimal adherence to their prescribed medications, with unfavorable effects on morbidity, mortality, and healthcare expenditures.^12,13 Approximately 25–30% of Korean adults have hypertension¹⁴ and the rate of antihypertensive adherence is approximately 47.7% to 57.4%.^15,16 However, no research has yet investigated the epidemiological characteristics of hypertension among immigrants in Korea and their adherence to hypertension treatment. Culture and psychosocial factors play a role in adherence behavior,¹⁷ although the competency and infrastructure of the host country’s health care system matter as well.

In particular, having a usual source of care, such as a family physician, is closely associated with high medication adherence in the USA,^18,19 Canada,²⁰ Kuwait,²¹ and Bosnia.²² Therefore, we hypothesized that medication adherence would be relatively low in immigrants due to the barriers they face in terms of utilizing stable medical services, which are caused by both the unmet needs of the overall medical system of Korea (as having a usual source of health care is not systematized) and the health care access barriers that immigrants encounter in general.³ Therefore, we aimed to compare differences in medication adherence for hypertension management between immigrants and native-born Koreans and to assess potential risk factors by a population-based retrospective cohort study.

Methods

Data Source

Health care data for immigrants and native-born Koreans were retrieved from the Korean National Health Insurance Claims Database (KNHICD) between 2012 and 2015. The KNHICD covers approximately 97% of the whole Korean population and includes eligible immigrants through the mandatory health care insurance subscription system. The remaining 3% of the population is covered by Medical Aid, a governmental health care assistance program for the economically unprivileged. The KNHICD offers information on the International Classification of Diseases, 10th revision (ICD-10) diagnosis codes, medication profile, hospital information, inpatient and outpatient visits, and surgical and operational codes.

This study was approved by the Gachon University Institutional Review Board (IRB No. 1044396–201710-HR-169-10). The study has been conducted following legal and regulatory requirements described in “Guidelines for Good Database Selection and Use in Pharmacoepidemiology Research”²³ on patient personal data and did not include any individual patient information. KNHICD protects personal information and privacy by encrypting claims data and only provides anonymized individual data to the requested entity under stringent regulation and procedure.

Subject (Inclusion and Exclusion Criteria)

We selected immigrants and native-born Koreans who had antihypertensive prescriptions at the time of hypertension diagnosis (ICD-10: I10, I11, I12, I13, I15) in 2012. The inclusion criterion for immigrants was eligibility to receive ongoing Korean National Health Insurance benefits, so only immigrants with stable resident status (permanent residents, naturalized residents, and marriage immigrants) were included. Patients who had diagnosed with hypertension in the previous 1-year period were excluded to include cases of new-user with antihypertensive drugs. Additionally, patients who were younger than 30 years old, had fewer than 2 clinic visits, or died during the 3-year follow-up period were excluded. Among the selected patients, immigrants and native-born Koreans were 1:1-matched by a propensity score based on age, sex, and the Charlson comorbidity index (CCI) score. The index date for both groups was defined as the date when the first hypertension diagnosis code was captured. Both groups were followed for 3 years.

Definition of Variables

Medication Adherence

Medication adherence was measured by the medication possession ratio (MPR), which is the most widely established tool for measuring medication adherence.²⁴ In this study, we calculated MPR based on prescription data (prescription days of antihypertensive medications) available from KNHICD. Since a previous Korean study suggested that an MPR of less than 80% for antihypertensives was associated with a 1.93 times higher incidence of cerebro-cardiovascular disease,^15,25 adherence was defined as an MPR ≥80% and non-adherence was defined as an MPR <80%. The MPR was observed for 3 years from the index date (the first prescription date of antihypertensive medication) every 6 months. The MPR was calculated as MPR (%) = total sum of prescription days/follow-up days × 100.

Usual Source of Care

Having a usual source of care was evaluated as a proxy of stable health care utilization during the follow-up period. The number of visited clinics was used as the index of having a usual source of care. For example, if a patient visited clinic A 3 times, and clinic B 2 times during the follow-up period, the number of care sources would be 2.

Confounding Variables

We selected potential confounding variables, including sex, age, immigration status (permanent resident, naturalized resident, or marriage immigrant), type of health insurance (Medical Aid or National Health Insurance; Medical Aid: full coverage by the National Health Insurance System; NHI: approximately 70% coverage for all medical expenditures, with patients paying for 30% of costs out of pocket), residential area, living alone, comorbidities, the number of antihypertensive medications (an indicator of the disease severity of hypertension). The level of insurance contribution represented financial status because the insurance contribution for NHI is calculated based on income using a predefined method (a fixed percentage of salary for employees and a score calculated based on assets for the self-employed). The NHI divides insurance contributions into 20 quantiles where high quantiles correspond to high payments (and high income). Medical Aid is defined as the 0th quantile. We categorized insurance contributions into three groups: low (0–6), middle (7–15), and high (16–20).

Comorbidity was defined as having a principal diagnosis (ICD-10 code) accompanied by 2 and more outpatient visits or 1 and more inpatient or undergoing surgical treatment within 1 year of the index date. The ICD-10 codes of the included comorbidities related to hypertension were as follows: nephropathy (N18, N19, N25, N28.9, Z49, Z99.2, Z94.0, V005; operational code: R3280), cerebrovascular disease (G45, I63, I65, I66), cardiovascular disease (I20, I21, I22 I23, I24, I25, I50, I70, I71; operational codes: M6551, M6552, M6561, M6562, M6563, M6564, M6567, O1641, O1642, O1647, OA641, and OS647), and peripheral vascular disease (I73.8, I73.9, I77.1, I79.2, I798, K55.1, K55.8, K55.9, Z95.8, Z95.9). Of particular note, we also considered subjects who were diagnosed with diabetes (E11, E12, E13, E14) within the year before the index date. Diabetes requires daily use of medicine, like hypertension, so we included diabetes as a confounder because it could affect adherence to antihypertensive drugs.

Statistical Analyses

The baseline characteristics of the included subjects are presented as counts with percentages for categorical data and as means with standard deviations for continuous data. Categorical data were evaluated by the chi-square test and continuous variables were assessed by the t-test. Medication adherence as a whole was compared between immigrants and native-born Koreans with multivariate linear regression analysis. Additionally, we stratified the cases and controls into age, sex, and number of clinic visits and evaluated the risk of non-adherence with multivariate linear regression models on each subgroup, which identified contributing factors to the difference in medication adherence. To explore potential risk factors for non-adherence in antihypertensives among immigrants, logistic regression analysis was conducted. Odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) were estimated, adjusting for possible confounders (covariates that were statistically significantly different at baseline). All statistical analyses were performed using SAS 9.3 (SAS Institute Inc., Cary, NC, USA) and a 2-tailed level of statistical significance was defined as a p-value <0.05.

Results

A total of 4114 immigrants with hypertension and 1:1 age, sex, and CCI score-matched native-born Koreans (n=4114) with hypertension were included in the study (Figure 1). The demographic profile of the immigrants showed that being female (56.8%), being 50–64 years old (40.3%), having naturalized status (58.4%), and residing in an urban area (95.6%) were prevalent characteristics (Table 1). A higher proportion of immigrants (95.6%) resided in urban areas than their native-born Korean counterparts (89.2%). Immigrants were more likely to have Medical Aid status (6.8%) than native-born Koreans (3.2%). Many more immigrants were in the lowest level of insurance contributions (47.5% vs. 28.1%), and correspondingly, many fewer immigrants were in the highest level of insurance contributions (9% vs. 33%). The type of insurance and level of insurance contribution coherently indicated that the immigrants had lower financial status than their native-born Korean counterparts. More immigrants lived in urban areas by themselves. Comorbidities were more prevalent in native-born Koreans (3.8% vs. 7.9%) and the prevalence of diabetes was also higher in native-born Koreans (3.4% vs. 5.6%). Immigrant visited more clinics for hypertension treatment than native-born Korean patients, as 15.7% of immigrants visited ≥6 clinics, whereas this was only the case for 9.2% of native-born Koreans. Visiting 1 or 2 clinics was defined as having a stable usual source of care, and it was more prevalent in native-born Koreans (36.2% for immigrants vs. 47.6% for native-born Koreans).

Table 1 Baseline Characteristics of Immigrants and Native-Born Koreans with Hypertension Included in the Study

Variables		Total (n=8228)		Immigrants (n=4114)		Native-Born Koreans (n=4114)		P-value
		N	%	N	%	N	%
Sex	Male	3559	43.25	1777	43.19	1782	43.32	0.9114
	Female	4669	56.75	2337	56.81	2332	56.68
Age	30–49 years	2859	34.75	1425	34.64	1434	34.86	0.9729
	50~64 years	3376	41.03	1683	40.91	1693	41.15
	65–74 years	1417	17.22	715	17.38	702	17.06
	≥75 years	702	8.53	354	8.60	348	8.46
Residential area	City	7602	92.39	3933	95.60	3669	89.18	<0.0001
	Rural area	626	7.61	181	4.40	445	10.82
Type of insurance	National Health Insurance	7814	94.97	3833	93.17	3981	96.77	<0.0001
	Medical Aid	414	5.03	281	6.83	133	3.23
Level of insurance contribution	Low	3108	37.77	1954	47.50	1154	28.05	<0.0001
	Middle	3392	41.23	1791	43.53	1601	38.92
	High	1728	21.00	369	8.97	1359	33.03
Number of household members	1 (self)	2400	29.17	1515	36.83	885	21.51	<0.0001
	≥2	5828	70.83	2599	63.17	3229	78.49
CCI	0	5794	70.42	2916	70.88	2878	69.96	0.3066
	≥ 1	2434	29.58	1198	29.12	1236	30.04
Comorbidities	No	7745	94.13	3958	96.21	3787	92.05	<0.0001
	Yes	483	5.87	156	3.79	327	7.95
Diabetes	No	7858	95.50	3975	96.62	3883	94.39	<0.0001
	Yes	370	4.50	139	3.38	231	5.61
Number of visited clinics	1–2	3448	41.91	1491	36.24	1957	47.57	<0.0001
	3–5	3756	45.65	1979	48.10	1777	43.19
	≥6	1024	12.45	644	15.65	380	9.24
Number of hypertension medications	1	6847	83.22	3381	82.18	3466	84.25	0.0122
	≥2	1381	16.78	733	17.82	648	15.75
Immigration status	Permanent resident	-	-	971	23.60	-	-	-
	Marriage immigrant	-	-	739	17.96	-	-
	Naturalized resident	-	-	2404	58.43	-	-

Abbreviation: CCI, Charlson Comorbidity Index.

Figure 1 Flow diagram of the selection process of study subjects.

Medication Possession Ratio

We calculated the MPR during a 3-year follow-up period by dividing the sum of the total prescription days by the total number of follow-up days and multiplying by 100 (Figure 2). The overall mean MPR was lower in immigrants than in native-born Koreans (56% vs. 70%, p<0.0001). The adherence rate (MPR ≥80%) was also lower in immigrants than in native-born Koreans (46.2% vs. 61.9%, p<0.0001). The mean MPR was the highest in the earliest period and gradually decreased over time in both immigrants and native-born Koreans (Figure 2).

Figure 2 Mean MPR according to sex (A), age group (B), and the number of visited clinics (C) between immigrants and native-born Koreans. MPR: medication possession ratio.

Figure 3 shows the overall mean MPR according to sex, age group, and the number of visited clinics. The adherence rates were similar by sex in immigrants (39.2% and 40.0% for men and women, respectively). Older patients had higher adherence than younger patients. In addition, patients who had visited 1 or 2 clinics showed a higher MPR than patients who had visited 3 or more clinics both in immigrants and native-born Koreans.

Figure 3 Medication adherence patterns for antihypertensive drugs over time between immigrants and native-born Koreans. MPR: medication possession ratio.

Comparison of Adherence to Antihypertensive Drugs Between Immigrants and Native Koreans

The overall OR of medication non-adherence was determined using a multivariate linear regression model. Immigrants showed a higher likelihood of non-adherence than native-born Koreans (OR, 2.01; 95% CI, 1.83–2.21). Subgroup analyses presented that male and female immigrants had 2.00 and 2.07 times higher likelihoods of non-adherence than Korean male and female, respectively. All age groups of immigrants showed higher non-adherence than their native-born Korean counterparts, but as age increased, the OR decreased. According to the number of visited clinics (1–2 and ≥3), immigrants showed 2.04 to 2.06 times higher non-adherence than native-born Koreans, which was a significant difference (Table 2).

Table 2 Comparison of Non-Adherence to Antihypertensive Drugs Between Immigrants and Native-Born Koreans

	Adjusted OR*	95% CI
Immigrants (ref: native-born Koreans)	2.01	1.83–2.21
Subgroup analysis^†
Sex (ref. native-born Koreans)
Men	2.00	1.72–2.31
Women	2.07	1.82–2.35
Age group (ref. native-born Koreans)
30~49 years	2.28	1.92–2.71
50~64 years	2.05	1.78–2.36
65 years and older	1.69	1.37–2.08
Number of visited clinics (ref. native-born Koreans)
1~2	2.04	1.76–2.36
3 and over	2.06	1.82–2.34

Notes: *Age, sex, and CCI were matched between immigrants and native-born Koreans. Therefore, the matched factors were not included in the regression model, which was adjusted for type of insurance, residential region, insurance premium quantiles, number of household members, comorbidities, diabetes mellitus, and number of antihypertension. †Comparison of non-adherence between immigrants and native-born Koreans stratified by sex, age group, and number of visited clinics. The regression model was adjusted for number of visited clinics, type of insurance, residential region, insurance premium quantiles, number of household members, comorbidities, diabetes mellitus, and number of antihypertension. Significant results made in bold type.

Abbreviations: OR, odds ratio; CI, confidence interval; CCI, Charlson Comorbidity Index.

Risk Factors to Medication Adherence Among Immigrants

We performed logistic regression analysis among immigrants to explore the risk factors associated with low medication adherence in immigrants (Table 3). Marriage immigrants had a 1.43 times higher likelihood of non-adherence than naturalized citizens. Advanced age groups (50–64 y and ≥65 y), compared to the younger age group (30–49 y), showed 0.66 to 0.59 times lower non-adherence to antihypertensive drugs, which was a significant difference. Medical Aid status increased the likelihood of non-adherence by 39% (OR, 1.39; 95% CI, 1.05–1.85). The highest level of insurance contribution (OR, 0.58; 95% CI, 0.45–0.73), having comorbidities (OR, 0.65; 95% CI, 0.46–0.91), having diabetes (OR, 0.61; 95% CI, 0.42–0.88), and taking ≥2 antihypertensives (OR, 0.65; 95% CI, 0.55–0.77) significantly contributed to a lower likelihood of non-adherence. On the contrary, visiting 3 to 5 clinics (OR, 1.31; 95% CI, 1.14–1.51), visiting 6 and more clinics (OR, 1.58; 95% CI, 1.30–1.93), and having a CCI score of 1 or higher (OR, 1.36; 95% CI, 1.17–1.59) were associated with a significantly higher likelihood of non-adherence to antihypertensive medication in immigrants (Table 3).

Table 3 Potential Risk Factors Significantly Associated with Non-Adherence to Antihypertensive Drugs in Immigrants by Logistic Regression Analysis

Variables	Category	OR	95% CI
Immigration status	Naturalized citizen	Ref.
	Permanent resident	1.12	0.95	1.32
	Marriage immigrant	1.43	1.19	1.72
Sex	Male	Ref.
	Female	0.91	0.80	1.04
Age group (years)	30–49	Ref.
	50–64	0.66	0.56	0.77
	65 and older	0.59	0.49	0.72
Type of insurance	NHI	Ref.
	Medical Aid	1.39	1.05	1.85
Residential area	Urban area	Ref.
	Rural area	0.88	0.65	1.21
Level of insurance contribution	Low	Ref.
	Middle	1.03	0.89	1.20
	High	0.58	0.45	0.73
Living alone	Yes	Ref.
	No	1.14	0.99	1.31
Number of visited clinics (n)	1–2	Ref.
	3–5	1.31	1.14	1.51
	6 and over	1.58	1.30	1.93
CCI score	0	Ref.
	1 and over	1.36	1.17	1.59
Comorbidity	No	Ref.
	Yes	0.65	0.46	0.91
Diabetes	No	Ref.
	Yes	0.61	0.42	0.88
Number of antihypertensive drugs	1	Ref.
	2 and over	0.65	0.55	0.77

Note: Significant results are shown in bold type.

Abbreviations: OR, odds ratio; NHI, National Health Insurance; CCI, Charlson Comorbidity Index.

Discussion

We demonstrated additional evidence that immigrants are vulnerable to receiving non-optimal health care in their hypertension management. Their MPR was significantly lower, by approximately 20% than that of native-born Koreans and their rate of medication non-adherence was just over twice as high as that of native-born Koreans (OR, 2.01). Since hypertension management is a crucial aspect of preventing CVD complications and the resultant mortality,⁵ a well-established health care system for managing hypertension is needed to ensure high-quality health care both for immigrants and the native-born host population. In this context, the markedly lower adherence to antihypertensive drugs found in immigrants calls for urgent attention.

The primary objective of this study was to examine the association between having a usual source of care and adherence to antihypertensive drugs in immigrants. We hypothesized that medication adherence would be low in immigrants due to not utilizing stable medical services (absence of a usual source of care). Based on our results, the hypothesis was proven that immigrants were less likely to have a usual source of care, which made a significant negative contribution to medication adherence. The higher the number of visited clinics, the lower the likelihood of medication adherence was. Logistic regression analysis among immigrants also revealed consistent findings regarding potential risk factors. A similar result was reported in a study on health care disparity in Latinos in the USA. Having a usual source of care increased the likelihood of a blood pressure check in the past 2 years and a cholesterol check in the past 5 years.²⁶ Immigrants of all ages are far less likely to have a usual source of care or to have seen a doctor in the past year if they had a health problem in a report published in New Jersey.²⁷ Low-income undocumented immigrants are more likely to lack a usual source of care than their counterparts with citizenship or documentation in California area²⁸ and have difficulties obtaining needed health care.²⁹

A usual source of care has been defined as the particular medical professional, doctor’s office, clinic, health center, or other places where a person would usually go if sick or in need of advice about his or her health. ³⁰ It is well known that primary care can lower the costs of care, improve health care quality through easy access to more appropriate services and referrals, and reduce inequities in population health.³¹ Many barriers prevent immigrants from being able to obtain full health care coverage and sufficient health care access.³ These include legal issues, lack of knowledge and awareness of the health system in a new country,³² previous experiences of health care,³³ language and cultural barriers,³⁴ different health beliefs and attitudes,³⁵ and health care gaps in the host country’s health system.

Since health care disparities among immigrants are not only a problem for immigrants themselves but ultimately place a major burden on the host country, health care systems that encourage everyone to register with a primary care doctor as a usual source of care would enhance immigrants’ access to health care,³⁶ thereby compensating for the health care gap, as has been the experience of other countries.^18,20,22 Another suggestion would be to educate clinical staff to be aware of the characteristics of immigrants and to be trained in cultural competency, which can improve the degree to which immigrants can easily access health care.^36,37

Hypertension is generally more common in men than in women worldwide.³⁸ However, women were prevalent in this study, which reflects the high proportion of women among the marriage immigrants who were included in this study. Female immigrants accounted for 83.2% (132391/159206) of marriage immigrants in 2018, according to Statistics Korea.³⁹

Other potential risk factors include advanced age. However, age was associated with higher levels of medication adherence, which conforms to the general trend that older adults are more concerned about their health than their younger counterparts and contribute more to health care management.⁴⁰ Economic factors were significantly associated with medication adherence, as shown by the findings that Medical Aid status (low income) increased non-adherence by 39%, but high insurance contributions (high income) decreased the likelihood of non-adherence by 0.58 times.

Marriage immigrant status was significantly associated with a higher likelihood of medication non-adherence. An explanation for this may be that marriage immigration has started more recently to Korea than other immigrants and they are comparably younger, which might result in them having a lower level of access to regular health care services. Having comorbidities and more severe hypertension status (taking 2 or more medications) decreased non-adherence by 0.65 times, implying that these factors may have alerted immigrants to the need to care for their hypertension more proactively.

The MPR analysis showed low levels of medication adherence in immigrants, as the MPR in immigrants was almost 20% lower than that of native-born Koreans (56% vs 70%). Of particular note, a trend was noticed for the MPR reduction to be higher in the first year and then to stabilize during the follow-up period. This shows that medication adherence in the early period was important for long-term management. The immigrants who started to receive health care services might be more educated and capable of following the instructions of health care providers than those who were non-adherent. A recent report from the National Academies of Science, Engineering, and Medicine on American immigrants stated that in general, immigrants to the USA had comparable levels of education to native-born Americans and their educational attainment and performance were quite high.⁴¹ This result suggests that the appropriate education of immigrants at the initial treatment might improve medication adherence and disease management.

The main strength of this study is the use of well-standardized and extensive KNHICD. This is the first study to include all immigrants with hypertension to verify the potential risk factors for medication non-adherence in the context of the usual source of care utilization. Through this approach, we could identify potential risk factors and obtained additional knowledge for use when preparing future strategic plans for health care in Korea. Nonetheless, we need to mention a few limitations. Due to the characteristics of claims data, which only include immigrants who were eligible to receive coverage through the NHI, the included immigrants might have been relatively stable in terms of their socioeconomic status. Therefore, extreme cases of health care problems in ineligible immigrants could not be addressed. Additionally, the treatment and medication information retrieved from the claims data did not contain uninsured items; therefore, the results of the analysis may have been inflated or deflated to some degree, which needs careful interpretation. However, we are confident that we provided an accurate big-picture overview of this health care gap and the associated modifiable risk factors. Lastly, MPR is calculated from prescribed information from KNHICD, so the results might be different from those of actual pill counting or pharmacy prescription fill data and should be interpreted with this in consideration.

In conclusion, having a usual source of care, financial stability, comorbidities, and taking ≥2 medications reduced medication non-adherence among immigrants with hypertension. Therefore, the systematization of registering with primary care (a usual source of care) might be a modifiable health care strategy to improve health care outcomes in immigrants.

Acknowledgment

This study used NHIS-NHID data (NHIS-2018-1-042) made available by the National Health Insurance Service (NHIS). The authors declare no conflicts of interest with the NHIS. We would like to thank the NHIS for its cooperation.

Disclosure

The authors report no conflicts of interest for this work.

Hyemin Cho and Sohyun Jeong equally contributed as first authors.

Additional information

Funding

This research was funded by the Basic Science Research Program through the National Research Foundation of Korea (NRF) (2017R1D1A1B03034121). However, the funding body had no influence on conducting the research or writing the manuscript.