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Risk factors of undiagnosed and uncontrolled hypertension in primary care patients with hypertension: a cross-sectional study

Abstract

Background

Hypertension is a common heart condition in the United States (US) and severely impacts racial and ethnic minority populations. While the understanding of hypertension has grown considerably, there remain gaps in US healthcare research. Specifically, there is a lack of focus on undiagnosed and uncontrolled hypertension in primary care settings.

Aim

The present study investigates factors associated with undiagnosed and uncontrolled hypertension in primary care patients with hypertension. The study also examines whether Black/African Americans are at higher odds of undiagnosed and uncontrolled hypertension compared to White patients.

Methods

A cross-sectional study was conducted using electronic health records (EHR) data from the University of Utah primary care health system. The study included for analysis 24,915 patients with hypertension who had a primary care visit from January 2020 to December 2020. Multivariate logistic regression assessed the odds of undiagnosed and uncontrolled hypertension.

Results

Among 24,915 patients with hypertension, 28.6% (n = 7,124) were undiagnosed and 37.4% (n = 9,319) were uncontrolled. Factors associated with higher odds of undiagnosed hypertension included age 18–44 (2.05 [1.90–2.21]), Hispanic/Latino ethnicity (1.13 [1.03–1.23]),  Medicaid (1.43 [1.29-1.58]) or self-pay  (1.32 [1.13-1.53]) insurance, CCI 1-2 (1.79 [1.67-1.92]), and LDL-c ≥ 190 mg/dl (3.05 [1.41–6.59]). For uncontrolled hypertension, risk factors included age 65+ (1.11 [1.08–1.34]), male (1.24 [1.17–1.31]), Native-Hawaiian/Pacific Islander (1.32 [1.05-1.62])  or Black/African American race (1.24 [1.11-1.57]) , and self-pay insurance (1.11 [1.03-1.22]).

Conclusion

The results of this study suggest that undiagnosed and uncontrolled hypertension is prevalent in primary care. Critical risk factors for undiagnosed hypertension include younger age, Hispanic/Latino ethnicity, very high LDL-c, low comorbidity scores, and self-pay or medicaid insurance. For uncontrolled hypertension, geriatric populations, males, Native Hawaiian/Pacific Islanders, and Black/African Americans, continue to experience greater burdens than their counterparts. Substantial efforts are needed to strengthen hypertension diagnosis and to develop tailored hypertension management programs in primary care, focusing on these populations.

Peer Review reports

Introduction

Hypertension is a common heart health condition affecting 1.2 billion adults worldwide [1] and more than 119 million adults in the United States (US) [2]. Hypertension is also a contributing risk factor for stroke, dementia, and all-cause mortality in the US [3,4,5].

Importantly, hypertension varies by demographics. A majority of US adults with diagnosed hypertension are male, older age, and identify as Black/African American or Asian/Asian American [6,7,8]. Black/African Americans, in particular, experience an even greater burden of hypertension [8], often diagnosed at a younger age.

While the understanding of hypertension has grown considerably, there remain gaps in US healthcare research. Specifically, there is limited focus on undiagnosed and uncontrolled hypertension in primary care [9]. Additionally, hypertension prevalence in US primary care settings has not been widely established or confirmed. A 2017 study indicated a prevalence of 25% for uncontrolled hypertension and 46.9% for overall hypertension (including controlled) [10]. However, the results are limited by a potential measurement bias, suggesting further research is needed.

Even less is known about undiagnosed hypertension. It is estimated 11 million adults in the US suffer from hypertension without a clinical diagnosis [11, 12]. Prior studies have also reported hypertension underdiagnosis in the health records and identified coding errors, gaps in knowledge of guidelines, and variations in healthcare delivery, as contributing factors [12, 13].

The role of health systems in addressing hypertension disparities remains a topic of ongoing debate. Primary care, for example, offers a comprehensive, patient-centered, and community-based care model, which serves as a bridge to affordability and increased outreach to promote early disease detection and prevention [9, 14], and may be a promising long-term solution.

However, healthcare and research institutions have yet to leverage primary care fully to improve hypertension. So far, discussions on undiagnosed hypertension have remained scarce [15]. The lack of knowledge, in particular regarding undiagnosed hypertension equates to missed opportunities for early identification of at-risk populations and for developing interventions for those populations.

To fill this gap, this study investigates undiagnosed and uncontrolled hypertension risk factors in primary care patients with hypertension. The study also examines whether Black/African Americans are at higher odds of undiagnosed and uncontrolled hypertension compared to White patients.

Methods

Study design and setting

The present study was reported following the Strengthening the Reporting of Observational Epidemiology (STROBE) methodology for cross-sectional studies [16]. The study utilized clinical data from the University of Utah (UU) primary care system in Salt Lake City, Utah. Overall, the UU health system comprises 5 hospitals and 12 primary care clinics.

Study population and selection

This cross-sectional study retrieved clinical data (January 1, 2020 – December 31, 2020) from all 12 primary care clinics. All clinics operate a shared electronic health records (EHR) system. Patient’s demographics data were extracted, including age, sex, race and ethnicity, Body Mass Index (BMI), insurance provider, Charlson Comorbidity Index (CCI), controlled/uncontrolled hypertension status, and diagnosed/undiagnosed hypertension status, diabetes and pre-diabetes status, blood glucose levels, and blood lipid profiles (e.g., dyslipidemia, low-density lipoprotein cholesterol, and hypercholesterolemia).

Inclusion and exclusion criteria

A total of 65,535 patient’s records (18+) were retrieved from the EHR. Next, 355 patients diagnosed with end-stage renal disease (ESRD) were excluded, leaving 65,180 unique records. Patients with ESRD were excluded based on research suggesting renal disease as a primary case of high blood pressure in patients with ESRD and hypertension comorbidities [17]. Then, 40,265 patients with no hypertension/blood pressure (BP) chart record in the EHR were excluded, leaving 24,915 patients with hypertension (diagnosed and undiagnosed; controlled and uncontrolled) for analysis (Fig. 1).

Fig. 1
figure 1

Flow chart of included data

Sample size calculation

In the present study, the expected hypertension prevalence was 30%, calculated from the total patient population (24,915/65,535). The significance level is 5% (i.e., a 95% confidence interval) and power of 80%. Power analysis showed a sample size of 384 would be needed to observe a hypertension prevalence of 30% with a significance level of 5% and power of 80%.

Study measures

Outcomes

Undiagnosed and uncontrolled hypertension were two binary outcome variables. Undiagnosed hypertension is defined as patients (18+) who have hypertension based on vitals (lab values) or medication prescription but no ICD (international classification of diseases) code (see codebook) [18].

Uncontrolled hypertension includes patients 18 years and older with hypertension diagnosis (based on ICD, vitals, prescribed medication) and whose latest BP reading in 2020 is systolic ≥ 140 mmHg and diastolic ≥ 90 mmHg. For hypertension diagnosis, the UofU health utilizes an in-house guideline which looks for most recent office BP ≥ 140/90 mm Hg, and checks if most recent automated office blood pressure reading (AOBP) ≥ 135/85 mm Hg, and if most recent 24-hr average BP ≥ 130/80 mm Hg, and if most recent average home BP reading ≥ 135/85 mm Hg.

Independent variables

The independent variables consisted of sex (Male; Female), age (18–44; 45–64; 65+), race (White; Asian; Black/African American; Native Hawaiian/Pacific Islander; American Indian/Alaska Native; Other/Unknown), Ethnicity (Non-Hispanic/Latino; Hispanic/Latino, Unknown), BMI (Underweight < 18.5 Kg/m2; Healthy weight 18.5-24.99 Kg/m2; Overweight 25.0-29.99 Kg/m2; Obesity Class 1 30.0-34.99 Kg/m2; Obesity Class 2 35.0–39.00 Kg/m2; and Obesity Class 3 40.0 + Kg/m2) [19], insurance provider (UT commercial; UT Medicare; UT Medicaid; Self-pay; Other), CCI (None (0); Mild (1–2); Moderate (3–4); Severe (5–21); and unknown) [20], current statin use (Yes/No), diabetes status (based on ICD (Yes/No) and pre-diabetes (Yes/No), blood glucose level status (HbA1c control based on ICD (Yes/No)). Other medical conditions included: dyslipidemia (Yes/No), hypercholesterolemia (Yes/No), and low-density lipoprotein cholesterol (very high LDL-c ≥ 190 mg/dl (Yes/No); LDL-c between 70 and 189 mg/dl (Yes/No)).

Statistical analysis

All statistical analyses were performed using RStudio build 481 (Posit Software, PBC). Study variables were first reviewed for completeness, by identifying missing values and incorrect responses. Frequencies (n) and relative frequencies (%) were calculated for categorical variables and means and standard deviation (SD) for continuous variables. Group differences for sample characteristics were also tested using chi-squared tests. The frequency distributions by undiagnosed and uncontrolled hypertension are presented in Table 1.

Table 1 Characteristics of primary care patients by undiagnosed and uncontrolled hypertension

Multivariable logistic regression was used to evaluate the association between the independent variables and the odds of undiagnosed and uncontrolled hypertension while adjusting for race, ethnicity, sex, age, health insurance status, valid range BMI, and CCI. Adjusted odds ratios (aOR) were reported with the corresponding 95% confidence intervals (C.I.) and p-values to check the statistical significance (i.e., P < .05) (Tables 2, 3, and 4). Forest plots showing the aOR are provided in Figs. 2, 3 , 4 and 5.

Table 2 Risk factors of undiagnosed and uncontrolled hypertension in primary care
Fig. 2
figure 2

Forest plot of significant risk factors of undiagnosed hypertension

Fig. 3
figure 3

Forest plot of significant risk factors of undiagnosed hypertension: Black/African Americans vs. White

Fig. 4
figure 4

Forest plot of significant risk factors of uncontrolled hypertension

Fig. 5
figure 5

Forest plot of significant risk factors of uncontrolled hypertension: Black/African Americans vs. White

Results

Characteristics of patients with undiagnosed hypertension

Out of 24,915 primary care patients with hypertension, 28.6% (n = 7,124) had undiagnosed hypertension, with a mean (SD) age of 49.3 (16.3) years (Table 1). Majority of patients within this cohort were 51.6% (n = 2,911) aged 18–44 years old, 28.7% (n = 3,458) males, 31.4% (n = 132) identified as Native Hawaiian/Pacific Islander race, 27.8% (n = 186) identified as Black/African American race, 32.6% (n = 1,007) identified as Hispanic/Latino ethnicity, 40.6% (n = 1,348) healthy weight patients, and 45.0% (n = 3,439) with a CCI of 0.

For other metabolic conditions studied, 7.6% (n = 508) of patients with dyslipidemia, 5.3% (n = 18) with LDL-c ≥ 190 mg/dl, 22.4% (n = 267) with LDL-c 70–189 mg/dl, and 9.2% (n = 588) of patients with hypercholesterolemia had undiagnosed hypertension.

Risk factors of undiagnosed hypertension

After adjustments, significantly higher odds of undiagnosed hypertension were observed among younger patients 18–44 years (2.05 [1.90–2.21]), Hispanic/Latino ethnicity (1.13 [1.03–1.23]), covered by UT Medicaid (1.43 [1.29–1.58]), self-paid insurance status (1.32 [1.13–1.53]), CCI of 1–2 (1.79 [1.67–1.92]), and patients with LDL-c ≥ 190 mg/dl (3.05 [1.41–6.59]) (Table 2; Fig. 2).

On the other hand, significantly lower odds of undiagnosed hypertension were identified among patients aged 65 years and older (0.64 [0.57–0.71]), males (0.93 [0.88–0.99]), self-identified Asian race (0.65 [0.53–0.80]) or Black/African American race (0.61 [0.50–0.74]), overweight BMI (0.81 [0.74-0.89]), obesity in class I (0.75 [0.71-0.79]), class II (0.76 [0.68-0.85]), or class III (0.67 [0.60-0.75]), CCI of 3-4 (0.57 [0.51-0.63]) or CCI of 5–21 (0.36 [0.32–0.41]), statin users (0.72 [0.67–0.77]), with diabetes (0.37 [0.33–0.40]), controlled HbA1c (0.42 [0.37–0.47]), with dyslipidemia (0.25 [0.22–0.27]), LDL-c 70–189 mg/dl (0.74 [0.63–0.86]), and hypercholesterolemia (0.28 [0.25–0.31]) (Table 2; Fig. 2).

Black/African American vs. White patients

In all cases of statistically significant results, the odds of patients with hypertension having undiagnosed hypertension were lower among Black/African Americans than their White counterparts (Table 3). The lowest odds of undiagnosed hypertension in Black/African Americans exist for geriatric age 65+ (0.43 [0.21–0.79]), female (0.61 [0.46–0.79]),overweight BMI (0.78 [0.38-0.93]), CCI of 3–4 (0.38 [0.17–0.73]), controlled HbA1c levels (0.17 [0.04–0.47]), and hypercholesterolemia (0.18 [0.03–0.57]) (Table 3; Fig. 3).

Table 3 Risk factors of undiagnosed hypertension – Black/African American (N = 668) vs. White (n = 19,671)

Characteristics of patients with uncontrolled hypertension

Of the 24,915 patients with hypertension, 37.4% (n = 9,319) had uncontrolled hypertension, with mean age of 57.9 (16.2) years (Table 1). Patients with uncontrolled hypertension were predominantly middle age 45–64 years (37.8%; n = 3,690), male (40%; n = 4,814), Native Hawaiian/Pacific Islander race (44.9%; n = 189), unknown BMI status (100%; n = 4,339), and patients with a CCI of 0 (43.2%; n = 3,304).

Regarding other medical conditions studied, 34.6% (n = 2,298) of patients with dyslipidemia, 37.8% (n = 451) with LDL-c 70–189 mg/dl, 35.3% (n = 12) with LDL-c ≥ 190 mg/dl, and 34.7% (n = 2,219) with hypercholesterolemia also had uncontrolled hypertension (Table 1).

Risk factors of uncontrolled hypertension

Factors significantly associated with increased odds of uncontrolled hypertension included geriatric age 65 and older (1.11 [1.08–1.34]), male (1.24 [1.17–1.31]), self-identified Native Hawaiian/Pacific Islander race (1.32 [1.05-1.62]) or Black/African American race (1.24 [1.11-1.57]), and self-pay insurance (1.11 [1.03-1.22]). 

In contrast, patients with a CCI of 3–4 (0.70 [0.63-0.77]), current statin users (0.76 [0.72–0.81]), diabetic (0.86 [0.80–0.92]), or pre-diabetic (0.89 [0.82–0.97]), controlled HbA1c (0.84 [0.78–0.91]), dyslipidemia (0.85 [0.79–0.91]), and hypercholesterolemia (0.90 [0.89–0.90]), all exhibited significantly lowest odds of uncontrolled hypertension (Table 2; Fig. 4).

Black/African American vs. White patients

For all significant results, the odds of uncontrolled hypertension were higher for Black/African American patients than for White patients (Table 4; Fig. 5). The odds of uncontrolled hypertension were highest in younger Black/African Americans 18–44 years (1.42 [1.10–1.90]), female (1.41 [1.12–1.72]), obesity in class I (1.43 [1.19–1.62]), medicaid insurance (1.48 [1.03-2.11]), CCI of 3–4 (1.97 [1.29–2.98]), diabetic (1.51 [1.08–2.09]), statin user (1.41 [1.04–1.89]), and controlled HbA1c (1.74 [1.14–2.61]).

Table 4 Risk factors of uncontrolled hypertension – Black/African American (N = 668) vs. White (n = 19,671)

Discussion

This study aimed to identify factors associated with undiagnosed and uncontrolled hypertension in primary care patients with hypertension. The study also examined whether Black/African Americans are at higher odds of undiagnosed and uncontrolled hypertension compared to White patients.

There are several key findings. First, younger patients, Hispanic/Latino ethnicity, a mild (1–2) comorbidity score, and patients with LDL-c ≥ 190 mg/dl had significantly higher odds of undiagnosed hypertension. Second, geriatric age (65+), self-identified Black/African American race, self-identified Native Hawaiian/Pacific Islander race, and mild (1–2) comorbidity score was associated with significantly higher odds of uncontrolled hypertension.

Finally, Black/African Americans had much lower odds of undiagnosed hypertension and higher odds of uncontrolled hypertension than White patients. In Black/African Americans, the lowest odds of undiagnosed hypertension occurred when they were older, female, had a overweight weight BMI, moderate (3–4) CCI score, had controlled HbA1c, and were diagnosed with hypercholesterolemia. For uncontrolled hypertension, Black/African Americans had the highest odds when they were younger, female, class I obese, medicaid insurance, moderate (3–4) CCI score, currently using statins, diabetic, and had controlled HbA1c.

More in detail, in this study, younger age was associated with increased odds of undiagnosed hypertension. Prior studies support this finding [21,22,23]. Poor adherence to clinic visits contributes to this problem [22] and implies limited opportunities for physicians to perform diagnostic procedures, such as BP readings. There may also be limited BP screenings due to younger populations generally perceived as having better health compared to other age groups [21]. Limited BP screenings have also been linked to provider concerns about giving false hypertension diagnoses due to increased BP variability in this age group [22].

The present study also identified higher odds of undiagnosed hypertension among patients of Hispanic/Latino ethnicity. A particularly concerning finding is the scarcity of research on the risks and consequences of undiagnosed hypertension within the Hispanic/Latino community, especially in primary care. Nevertheless, current related research indicates significantly lower odds of hypertension awareness, treatment, and control in Hispanics/Latino individuals [8]. The persistent effects of health illiteracy, insufficient insurance coverage, and limited culturally and linguistically competent healthcare workforce have been documented [8, 24, 25].

Another important finding is the increased odds of undiagnosed hypertension among patients with low comorbidity scores. Higashi et al. (2007) [26] reported that the quality of care improved as the number of medical conditions increased. For the authors, this association is strengthened by the higher healthcare utilization rates in patients with multiple health conditions and the increased involvement of multiple healthcare specialists in their care. As a result, there is a higher likelihood of early diagnosis of other health conditions. These results reveal that the presence of multiple comorbidities should not be the sole basis for hypertension screenings, as this may lead to disparities in identifying at risk patients.

The present study also found that patients with LDL-c ≥ 190 mg/dl had significantly higher odds of undiagnosed hypertension. This finding is surprising given that hypertension is a potential outcome resulting from very high LDL-c levels [27]. A potential explanation is the phenomenon of treating the most disruptive symptoms first [28]. In this case, it is possible that clinical interventions primarily sought to bring the high LDL-c level to control and considered other comorbidities or outcomes (e.g. hypertension) to be a secondary intervention focus.

Lastly, patients covered by Medicaid insurance and those who are self-paying both had increased risk of undiagnosed and uncontrolled hypertension. Importantly, these populations are likely to be low-income. A possible explanation for the observed odds is that due to affordability concerns, low-income and uninsured patients may choose not to seek care, return for follow-up visits, or complete treatment programs, resulting in limited screening and hypertension confirmation opportunities, and ultimately poor hypertension control [21]. Inadequate income and insurance may also impact eligibility for clinical care programs, which can impact physician’s ability to provide preventive care and evidence-based clinical interventions or prescribe medications that may only be covered by comprehensive insurance [21, 29].

Concerning the second study aim, this study showed a significantly lower likelihood of undiagnosed hypertension in Black/African American patients than in white patients, regardless of which risk factors were considered. This result is not entirely surprising, as greater hypertension awareness is being documented in Black/African Americans compared to White individuals [8, 28]. Extensive hypertension outreach and screening opportunities due to increased vigilance within healthcare systems on the prevalence of hypertension in Black/African Americans help explain this trend [28].

Unfortunately, lower undiagnosed hypertension rates in Black/African Africans does not translate to improved hypertension control and management. In the present study, there were significantly higher risk of uncontrolled hypertension in Black/African Americans and Native Hawaiian/Pacific Islanders compared to White primary care patients. Comparative studies of uncontrolled hypertension in Black/African Americans within US primary care settings are very limited, and many previous studies have focused on the overall population [6, 8, 30,31,32,33]. These studies point to poor adherence to hypertension medications and treatments [30, 31]. insurance instability [33], psychosocial stressors [32], and resistant hypertension [33], as major reasons for poor hypertension control and management.

For Native Hawaiian/Pacific Islander race, poor healthcare and sedentary lifestyles are significant risk factors for uncontrolled hypertension [34]. A major concern here is that Native Hawaiian/Pacific Islander individuals are severely underrepresented in primary care research and are highly affected by inadequate access to primary care services [35].

Furthermore, the present study revealed significantly higher odds of uncontrolled hypertension in older primary care patients. This finding has been documented in prior studies [36, 37]. Certain system changes occurring in older age are a potential pathway for uncontrolled hypertension. These changes include decreased cardiovascular capacities due to stiffening of the arterial walls, which causes difficulties in maintaining BP [36]. Another pathway is the lack of intensified hypertension treatment. Although research generally points to better BP outcomes from treatment intensification in geriatric age [38, 39], the risk of over-treatment, undue patient burden and lack of standardized guidelines have hindered adoption [40].

Finally, the results showing increased odds of uncontrolled hypertension in males compared to females are also reported in some studies [41,42,43,44]. Some contributing factors are poor medication adherence and lower healthcare utilization [43, 44]. Other related studies have reported higher odds in females [45, 46]. The conflicting findings may be due to the moderating role of aging and race. A 2017 American Heart Association (AHA) report revealed a higher prevalence of hypertension in women after age 64, and older Black/African American women having even higher rates [47]. The report considered medication access and health disparities as influential factors.

In summary, primary care can be essential in addressing hypertension disparities. A major defining feature is its community and patient-centered model of care, which prioritizes affordability and prevention. This model of care can help increase the reach and capacity of health services, especially in underserved communities. However, more research is needed on the best practices for accurately identifying patients with hypertension and developing culturally tailored hypertension management programs for those patients.

Strengths & limitations

This study is the first in Utah to provide an in-depth overview of the risk factors associated with undiagnosed and uncontrolled hypertension in primary care. It also fills a research gap by drawing attention to hypertension disparities in primary care. In this way, the study informs clinical approaches to better identify and address undiagnosed and uncontrolled hypertension in primary care.

The study also has limitations. The study is based on an academic primary care patient population sample. The data may not be representative of the general population, such as those receiving care from non-academic and publicly funded health systems. Additionally, the study did not include data on educational level. Existing research has found a higher incidence of hypertension among individuals with lower education attainment [32]. Therefore, the results of the present study may not be generalizable to those individuals. Further, the study analysis did not account for the 2020 AHA guidelines on lower BP assessment in older adults with diabetes [48], which may overestimate the odds of uncontrolled hypertension given comorbidity of diabetes. In addition, antihypertensive medication is also used to treat other conditions, which may have led to overestimating the odds of uncontrolled hypertension. Finally, the study design is cross-sectional. This study design makes it difficult to establish a cause-and-effect relationship, since analysis is done at one point in time.

Conclusions

The results of this study suggest that undiagnosed and uncontrolled hypertension is prevalent in primary care and that disparities exist. Critical risk factors for undiagnosed hypertension include younger age, Hispanic/Latino ethnicity, very high LDL-c, and low comorbidity scores. For uncontrolled hypertension, geriatric populations, males, Native Hawaiian/Pacific Islanders, and Black/African Americans, continue to experience greater burdens than their counterparts. Substantial efforts are needed to strengthen hypertension diagnosis and to develop tailored hypertension management programs in primary care, focusing on these populations.

Data availability

Study data is owned by the University of Utah (UofU), Salt Lake City Utah. Data requests should be made to Dominik Ose, the corresponding author. The corresponding author will then forward the request to the UofU software licensing office who will process the request, including issuing a data use agreement with the requesting party and providing relevant access information.

References

  1. WHO, Hypertension. Published February 25, 2021. Accessed June 9, 2022. https://www.who.int/news-room/fact-sheets/detail/hypertension.

  2. CDC. Hypertension Prevalence in the U.S. | Million Hearts®. Centers for Disease Control and Prevention. Published March 22, 2021. Accessed May 11. 2022. https://millionhearts.hhs.gov/data-reports/hypertension-prevalence.html.

  3. O’Donnell MJ, Xavier D, Liu L, et al. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet. 2010;376(9735):112–23. https://doi.org/10.1016/S0140-6736(10)60834-3. [PMID: 20561675].

    Article  PubMed  Google Scholar 

  4. Jiang C, Li S, Wang Y, et al. Diastolic blood pressure and intensive blood pressure control on cognitive outcomes: insights from the SPRINT MIND trial. Hypertens Dallas Tex 1979. 2023;80(3):580–9. https://doi.org/10.1161/HYPERTENSIONAHA.122.20112. [PMID: 36688305].

    Article  CAS  Google Scholar 

  5. Bundy JD, Li C, Stuchlik P, et al. Systolic blood pressure reduction and risk of Cardiovascular Disease and Mortality: a systematic review and network Meta-analysis. JAMA Cardiol. 2017;2(7):775–81. https://doi.org/10.1001/jamacardio.2017.1421. [PMID: 28564682].

    Article  PubMed  PubMed Central  Google Scholar 

  6. Commodore-Mensah Y, Turkson-Ocran RA, Foti K, Cooper LA, Himmelfarb CD. Associations between Social determinants and Hypertension, Stage 2 hypertension, and controlled blood pressure among men and women in the United States. Am J Hypertens. 2021;34(7):707–17. https://doi.org/10.1093/ajh/hpab011. [PMID: 33428705].

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ostchega Y, Fryar CD, Nwankwo T, Nguyen DT. Hypertension prevalence among adults aged 18 and over: United States, 2017–2018. NCHS Data Brief. 2020;(364):1–8. [PMID: 32487290].

  8. Aggarwal R, Chiu N, Wadhera RK, et al. Racial/Ethnic disparities in hypertension prevalence, awareness, treatment, and control in the United States, 2013 to 2018. Hypertension. 2021;78(6):1719–26. https://doi.org/10.1161/HYPERTENSIONAHA.121.17570. [PMID: 34365809].

    Article  CAS  PubMed  Google Scholar 

  9. Ndumele CD, Baer HJ, Shaykevich S, Lipsitz S, Hicks LS. Cardiovascular Disease and Risk in Primary Care settings in the United States. Am J Cardiol. 2012;109(4):521–6. https://doi.org/10.1016/j.amjcard.2011.09.047. [PMID: 22112741].

    Article  PubMed  Google Scholar 

  10. Ashman JJ, Rui P, Schappert SM, Strashny A. Characteristics of visits to Primary Care Physicians by adults diagnosed with hypertension. Natl Health Stat Rep. 2017;(106):1–14. [PMID: 29155688].

  11. Wozniak G, Khan T, Gillespie C, et al. Hypertension Control Cascade: a Framework to improve hypertension awareness, treatment, and control. J Clin Hypertens. 2015;18(3):232–9. https://doi.org/10.1111/jch.12654. [PMID: 26337797].

    Article  Google Scholar 

  12. Dejenie M, Kerie S, Reba K. Undiagnosed hypertension and associated factors among bank workers in Bahir Dar City, Northwest, Ethiopia, 2020. A cross-sectional study. PLoS ONE. 2021;16(5):e0252298. https://doi.org/10.1371/journal.pone.0252298. [PMID: 34043717].

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Wall HK, Hannan JA, Wright JS. Patients with undiagnosed hypertension: hiding in Plain Sight. JAMA. 2014;312(19):1973–4. https://doi.org/10.1001/jama.2014.15388. [PMID: 25399269].

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Volker N, Davey RC, Cochrane T, Williams LT, Clancy T. Improving the Prevention of Cardiovascular Disease in Primary Health Care: the Model for Prevention Study Protocol. JMIR Res Protoc. 2014;3(3):e33. https://doi.org/10.2196/resprot.2882. [PMID: 25008232].

    Article  PubMed  PubMed Central  Google Scholar 

  15. Baker R, Wilson A, Nockels K, Agarwal S, Modi P, Bankart J. Levels of detection of hypertension in primary medical care and interventions to improve detection: a systematic review of the evidence since 2000. BMJ Open. 2018;8(3):e019965. https://doi.org/10.1136/bmjopen-2017-019965. [PMID: 29567850].

    Article  PubMed  PubMed Central  Google Scholar 

  16. von Elm E, Altman DG, Egger M, et al. The strengthening the reporting of Observational studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147(8):573–7. https://doi.org/10.7326/0003-4819-147-8-200710160-00010. [PMID: 17947786].

    Article  Google Scholar 

  17. Hsu C yuan, McCulloch CE, Darbinian J, Go AS, Iribarren C. Elevated blood pressure and risk of end-stage renal disease in subjects without baseline kidney disease. Arch Intern Med. 2005;165(8):923–928. https://doi.org/10.1001/archinte.165.8.923. [PMID: 15851645].

  18. Wall HK, Hannan JA, Wright JS. Patients with undiagnosed hypertension. JAMA. 2014;312(19):1973–4. https://doi.org/10.1001/jama.2014.15388. [PMID: 25399269].

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. CDC. Defining Adult Overweight and Obesity. Centers for Disease Control and Prevention. Published June 3, 2022. Accessed September 28. 2022. https://www.cdc.gov/obesity/basics/adult-defining.html.

  20. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83. https://doi.org/10.1016/0021-9681(87)90171-8. [PMID: 3558716].

    Article  CAS  PubMed  Google Scholar 

  21. Meador M, Lewis JH, Bay RC, Wall HK, Jackson C. Who Are the Undiagnosed? Disparities in Hypertension Diagnoses in Vulnerable Populations. Fam COMMUNITY Health. 2020;43(1):35–45. doi:10/fz42. [PMID: 31764305].

  22. BMC Res Notes. 2017;10(1):9. doi:10.1186/s13104-016-2332-8. [PMID: 28057065].

  23. Johnson HM, Thorpe CT, Bartels CM, et al. Undiagnosed hypertension among young adults with regular primary care use. J Hypertens. 2014;32(1):65–74. https://doi.org/10.1097/HJH.0000000000000008. [PMID: 24126711].

    Article  CAS  PubMed  Google Scholar 

  24. Elfassy T, Zeki Al Hazzouri A, Cai J, et al. Incidence of Hypertension among US Hispanics/Latinos: the Hispanic Community Health Study/Study of Latinos, 2008 to 2017. J Am Heart Assoc Cardiovasc Cerebrovasc Dis. 2020;9(12):e015031. https://doi.org/10.1161/JAHA.119.015031. [PMID: 32476602].

    Article  Google Scholar 

  25. Oh H, Trinh MP, Vang C, Becerra D. Addressing barriers to Primary Care Access for latinos in the U.S.: an Agent-based model. J Soc Soc Work Res. 2020;11(2):165–84. https://doi.org/10.1086/708616.

    Article  Google Scholar 

  26. Higashi T, Wenger NS, Adams JL, et al. Relationship between number of Medical conditions and Quality of Care. N Engl J Med. 2007;356(24):2496–504. https://doi.org/10.1056/NEJMsa066253. [PMID: 17568030].

    Article  CAS  PubMed  Google Scholar 

  27. Yusuf S, Lonn E, Pais P, et al. Blood-pressure and cholesterol lowering in persons without Cardiovascular Disease. N Engl J Med. 2016;374(21):2032–43. https://doi.org/10.1056/NEJMoa1600177. [PMID: 27039945].

    Article  CAS  PubMed  Google Scholar 

  28. Thorpe RJ, Bowie JV, Smolen JR, et al. Racial disparities in hypertension awareness and management: are there differences among African americans and whites living in similar social and healthcare resource environments? Ethn Dis. 2014;24(3):269–75. [PMID: 25065066].

    PubMed  Google Scholar 

  29. Meyers DS, Mishori R, McCann J, Delgado J, O’Malley AS, Fryer E. Primary Care Physicians’ perceptions of the Effect of Insurance Status on clinical decision making. Ann Fam Med. 2006;4(5):399–402. https://doi.org/10.1370/afm.574. [PMID: 17003138].

    Article  PubMed  PubMed Central  Google Scholar 

  30. Solomon A, Schoenthaler A, Seixas A, Ogedegbe G, Jean-Louis G, Lai D. Medication routines and adherence among hypertensive African americans. J Clin Hypertens. 2015;17(9):668–72. https://doi.org/10.1111/jch.12566. [PMID: 25952495].

    Article  Google Scholar 

  31. Holmes HM, Luo R, Hanlon JT, Elting LS, Suarez-Almazor M, Goodwin JS. Ethnic disparities in adherence to antihypertensive medications of medicare part D beneficiaries. J Am Geriatr Soc. 2012;60(7):1298–303. https://doi.org/10.1111/j.1532-5415.2012.04037.x. [PMID: 22702464].

    Article  PubMed  PubMed Central  Google Scholar 

  32. Churchwell K, Elkind MSV, Benjamin RM, et al. Call to action: structural racism as a fundamental driver of Health disparities: a Presidential Advisory from the American Heart Association. Circulation. 2020;142(24):e454–68. https://doi.org/10.1161/CIR.0000000000000936. [PMID: 33170755].

    Article  PubMed  Google Scholar 

  33. Abrahamowicz AA, Ebinger J, Whelton SP, Commodore-Mensah Y, Yang E. Racial and ethnic disparities in hypertension: barriers and opportunities to improve blood pressure control. Curr Cardiol Rep. 2023;25(1):17–27. https://doi.org/10.1007/s11886-022-01826-x. [PMID: 36622491].

    Article  PubMed  PubMed Central  Google Scholar 

  34. Yang HH, Dhanjani SA, Chwa WJ, Cowgill B, Gee G. Disparity in obesity and hypertension risks observed between Pacific Islander and Asian American Health Fair attendees in Los Angeles, 2011–2019. J Racial Ethn Health Disparities. 2023;10(3):1127–37. https://doi.org/10.1007/s40615-022-01300-y. [PMID: 35426057].

    Article  PubMed  Google Scholar 

  35. Narcisse MR, Felix H, Long CR, et al. Frequency and predictors of health services use by native hawaiians and Pacific islanders: evidence from the U.S. National Health Interview Survey. BMC Health Serv Res. 2018;18(1):575. https://doi.org/10.1186/s12913-018-3368-3. [PMID: 30031403].

    Article  PubMed  PubMed Central  Google Scholar 

  36. Oliveros E, Patel H, Kyung S, et al. Hypertension in older adults: Assessment, management, and challenges. Clin Cardiol. 2020;43(2):99–107. https://doi.org/10.1002/clc.23303. [PMID: 31825114].

    Article  PubMed  Google Scholar 

  37. Biskupiak JE, Kim J, Phatak H, Wu D. Prevalence of High-Risk Cardiovascular conditions and the Status of Hypertension Management among hypertensive adults 65 years and older in the United States: analysis of a primary Care Electronic Medical records Database. J Clin Hypertens. 2010;12(12):935–44. https://doi.org/10.1111/j.1751-7176.2010.00362.x. [PMID: 21122059].

    Article  Google Scholar 

  38. Chen T, Shao F, Chen K, et al. Time to Clinical Benefit of intensive blood pressure lowering in patients 60 years and older with hypertension: a secondary analysis of Randomized clinical trials. JAMA Intern Med. 2022;182(6):660–7. https://doi.org/10.1001/jamainternmed.2022.1657. [PMID: 35532917].

    Article  PubMed  PubMed Central  Google Scholar 

  39. Aubert CE, Ha JK, Kim HM, et al. Clinical outcomes of modifying hypertension treatment intensity in older adults treated to low blood pressure. J Am Geriatr Soc. 2021;69(10):2831–41. https://doi.org/10.1111/jgs.17295. [PMID: 34097300].

    Article  PubMed  PubMed Central  Google Scholar 

  40. Siga O, Wizner B, Gryglewska B, Walczewska J, Grodzicki T. Factors associated with intensification of antihypertensive drug therapy in patients with poorly controlled hypertension. J Geriatr Cardiol JGC. 2019;16(1):19–26. https://doi.org/10.11909/j.issn.1671-5411.2019.01.001. [PMID: 30800147].

    Article  CAS  PubMed  Google Scholar 

  41. Londoño Agudelo E, Pérez Ospina V, Battaglioli T, Taborda Pérez C, Gómez-Arias R, Van der Stuyft P. Gaps in hypertension care and control: a population‐based study in low‐income urban Medellin, Colombia. Trop Med Int Health. 2021;26(8):895–907. https://doi.org/10.1111/tmi.13599. [PMID: 33938098].

    Article  PubMed  PubMed Central  Google Scholar 

  42. Farhadi F, Aliyari R, Ebrahimi H, Hashemi H, Emamian MH, Fotouhi A. Prevalence of uncontrolled hypertension and its associated factors in 50–74 years old Iranian adults: a population-based study. BMC Cardiovasc Disord. 2023;23(1):318. https://doi.org/10.1186/s12872-023-03357-x. [PMID: 37355590].

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kalibala J, Pechère-Bertschi A, Desmeules J. Gender Differences in Cardiovascular Pharmacotherapy—the Example of Hypertension: A Mini Review. Front Pharmacol. 2020;11. Accessed August 26, 2022. https://www.frontiersin.org/articles/10.3389/fphar.2020.00564. [PMID: 32435193].

  44. Gu Q, Burt VL, Paulose-Ram R, Dillon CF. Gender differences in hypertension treatment, drug utilization patterns, and blood pressure control among US adults with hypertension: data from the National Health and Nutrition Examination Survey 1999–2004. Am J Hypertens. 2008;21(7):789–98. https://doi.org/10.1038/ajh.2008.185. [PMID: 18451806].

    Article  PubMed  Google Scholar 

  45. Harrison TN, Zhou H, Wei R, et al. Blood pressure control among black and white adults following a quality improvement program in a large Integrated Health System. JAMA Netw Open. 2023;6(1):e2249930. https://doi.org/10.1001/jamanetworkopen.2022.49930. [PMID: 36607636].

    Article  PubMed  PubMed Central  Google Scholar 

  46. Chmiel C, Wang M, Senn O, et al. Uncontrolled arterial hypertension in primary care – patient characteristics and associated factors. Swiss Med Wkly. 2012;142(4344):w13693–13693. https://doi.org/10.4414/smw.2012.13693. [PMID: 23136051].

    Article  PubMed  Google Scholar 

  47. Benjamin EJ, Blaha MJ, Chiuve SE, et al. Heart Disease and Stroke Statistics—2017 update. Circulation. 2017;135(10):e146–603. https://doi.org/10.1161/CIR.0000000000000485. [PMID: 28122885].

    Article  PubMed  PubMed Central  Google Scholar 

  48. Kim HJ, Kim Kil. Blood pressure target in type 2 diabetes Mellitus. Diabetes Metab J. 2022;46(5):667–74. https://doi.org/10.4093/dmj.2022.0215. [PMID: 36193727].

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The study was part of a previous research funded by the Utah Department of Health and Human Services (5NU58DP00609-05-00). The funders had no role in the study design, data collection, data analysis, or the decision to submit the paper for publication.

Funding

The study was part of research funded by the Utah Department of Health and Human Services (5NU58DP00609-05-00). The funders had no role in the study design, data collection, data analysis, or the decision to submit the paper for publication.

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Conception and Design: DO; Acquisition of data: DO; Statistical analysis: AC; Interpretation of data: EA, DO, AC, JW; Drafting of the manuscript: EA; Critical revision of the manuscript for important intellectual content: EA, DO, EG, RO, JS, DF, JW, AC; Supervision: DO and JW; Tables and Figures: EA, DO, AC, JW; All authors reviewed and approved final versions of the manuscript.

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Correspondence to Dominik Ose.

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Adediran, E., Owens, R., Gardner, E. et al. Risk factors of undiagnosed and uncontrolled hypertension in primary care patients with hypertension: a cross-sectional study. BMC Prim. Care 25, 311 (2024). https://doi.org/10.1186/s12875-024-02511-4

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