Literature DB >> 33586334

Relationship of an adherence score with blood pressure control status among patients with hypertension and their determinants: Findings from a nationwide blood pressure screening program.

Yook Chin Chia1,2, Navin Kumar Devaraj3,4, Siew Mooi Ching3,4, Pei Boon Ooi1, Ming Tsuey Chew1, Bee Nah Chew2, Mohazmi Mohamed2,5, Hooi Min Lim6, Hooi Chin Beh6, Azli Shahril Othman7, Hanis Saadah Husin8, Abdul Hafiz Mohamad Gani9, Dalyana Hamid10, Pei San Kang11, Chai Li Tay12, Ping Foo Wong13, Haslinda Hassan14.   

Abstract

This study aimed to examine the relationship of adherence with blood pressure (BP) control and its associated factors in hypertensive patients. This cross-sectional nationwide BP screening study was conducted in Malaysia from May to October 2018. Participants with self-declared hypertension completed the Hill-Bone Compliance to High Blood Pressure Therapy Scale (Hill-Bone CHBPTS) which assesses three important domains of patient behavior to hypertension management namely medication taking, appointment keeping and reduced salt intake. Lower scores indicate better compliance while higher scores indicate otherwise. Participant's body mass index and seated BP were measured based on standard measurement protocol. Determinants of adherence to treatment were analyzed using multiple linear regression. Out of 5167 screened subjects, 1705 were known hypertensives. Of these, 927 (54.4%) answered the Hill-Bone CHBPTS and were entered into analysis. The mean age was 59.0 ± 13.2 years, 55.6% were female and 42.2% were Malays. The mean Hill-Bone CHBPTS score was 20.4 ± 4.4 (range 14-47), and 52.1% had good adherence. The mean systolic BP and diastolic BP were 136.4 ± 17.9 and 80.6 ± 11.6 mmHg, respectively. BP was controlled in 58.3% of those with good adherence compared to 50.2% in those with poor adherence (p = .014). Based on multiple linear regression analysis, female gender (β = -0.72, 95% confidence interval [CI] -1.30, -0.15, p = .014), older age (β = -0.05, 95% CI -0.07, -0.03, p < .001), and individuals with primary or lower educational level (β = -0.91, 95% CI -1.59, -0.23, p = .009) had better adherence to BP management. Interventional programs targeted at the less adherent groups are needed in order to improve their adherence and BP control.
© 2021 The Authors. The Journal of Clinical Hypertension published by Wiley Periodicals LLC.

Entities:  

Keywords:  Hill-Bone Compliance to High Blood Pressure Scale (Hill-bone CHBPTS); Hypertension; adherence; antihypertensive; blood pressure control

Mesh:

Substances:

Year:  2021        PMID: 33586334      PMCID: PMC8029568          DOI: 10.1111/jch.14212

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


INTRODUCTION

Hypertension affects a quarter of the world's population with prevalence ranging from 26.4% to 31.1% worldwide and is expected to increase over the years. , Hypertension is the major contributor of mortality and continues to contribute significantly to the increase of cardiovascular diseases, renal failure, and mortality. , , Around 61.3% to 77.2% of hypertensive patients from developed countries receive treatment in contrast to 18%‐41.1% in several low‐ and middle‐income countries in Asia. , , Even in several countries in Asia where treatment rates are high (69.7%‐81%), control of blood pressure (BP) is only achieved in less than 50%, for example in Malaysia, 83.2% of patients with hypertension received treatment but control of hypertension is only 37.4% while in many other low‐ and middle‐income countries in Asia, the control rates are even lower with several below 20%. , Although guidelines on hypertension emphasize the need to address treatment adherence throughout the world and also in Malaysia, just over half adhere to their medication. , , , Poor BP control remains a global concern. Uncontrolled hypertension leads to multiple complications which increases the burden to the individual and healthcare system. Many factors that contribute to poor BP control have been identified, the commonest being poor patient adherence to medication. Besides medication adherence, adherence to lifestyle modification, reduction of salt intake, follow‐up appointment, and medication refilling are also important contributors to poor BP control. , Understanding the contributing factors is important in improving overall adherence to prevent target organ damage such as strokes and myocardial infarctions; thus, more targeted interventions may be implemented to improve the control of hypertension. To date, there are limited studies that examine the level of adherence beyond medication taking. However, as reiterated earlier, it is important to study other factors that contribute to better control of hypertension. Hence, this nationwide study aimed to examine the level of adherence to hypertension management among patients with hypertension, using the Hill‐Bone Compliance to High Blood Pressure Therapy Scale (Hill‐Bone CHBPTS) which has 3 domains of medication adherence, salt reduction, and appointment keeping.

MATERIAL AND METHODS

Study design and setting

This cross‐sectional study was conducted throughout Malaysia during a worldwide BP screening campaign in conjunction with World Hypertension Day 2018. The study was conducted over 5 months from May 1, 2018, to October 31, 2018. The screening program was carried out at various centers including health clinics, hospitals, universities, community centers, shopping malls, family day events, and health runs in Peninsular Malaysia and 2 other sites in East Malaysia. Twenty‐five investigators from the 22 centers were briefed on the use of a standardized protocol. , Ethics approval was granted by the National Medical Research Register (NMRR‐18‐876‐40691) and University of Malaya Medical Centre (MREC ID NO:2018320‐6146).

Sample size calculation

As this is a public screening programme, the sample size was not calculated. All adults aged 18 years and above were eligible for the study.

Sampling method and process

All eligible individuals were invited to participate in this study. Participants were given a questionnaire, and their body weight and height were measured. All BP monitors that were used have been validated by various international bodies (International Society of Hypertension, International Society of Hypertension, and British Society of Hypertension). Seated BP was measured three times based on the standard procedure of BP measurement using automated and validated BP devices (Microlife‐BP‐A2‐Basic, Omron JPN1, Omron HEM‐7121, Omron HBP‐1300, and Beurer BM28). Following the usual clinical practice, only the first two BP measurements were used in our analysis.

Data collection

During the BP screening, a self‐administered questionnaire that captured the sociodemographic characteristics and relevant past medical history were distributed by researchers. Participants also completed the Hill‐Bone Compliance to high blood pressure therapy Scale (Hill‐Bone CHBPTS) questionnaire. Both the validated English and the translated Bahasa Malaysia, the national language version of this scale, were used.

Instruments used: The Hill‐Bone Compliance to High Blood Pressure Therapy Scale

We chose to use the Hill‐Bone CHBPTS as it captures not only adherence to medication but also salt reduction and keeping with appointments. This Hill‐Bone CHBPTS was developed by the John Hopkins University, School of Nursing in 1999. The questionnaire consists of 14 items with 3 domains (1) reducing sodium intake; (2) appointment keeping; and (3) medication taking, with each item rated on a 4‐point Likert scale (1 = all of the time, 2 = most of the time, 3 = some of the time, and 4 = none of the time). The score ranges from a minimum of 14 to 56 (maximum). The sodium domain consists of 3 items to assess dietary intake of salty foods; the appointment keeping domain consists of 3 items to assess appointments for doctor visits and prescription refills, and the medication‐taking domain consists of 8 items to assess medication‐taking behavior. The Hill‐Bone CHBPTS was self‐ or interviewer‐administered in our study. It takes about 5 minutes for the participants to complete this questionnaire. The Cronbach alpha for this scale were 0.74 and 0.84 as reported by the authors who develop this scale as the reliability testing of this scale was conducted at 1‐year and 3‐year follow‐up. The higher the mean score in Hill‐Bone CHBPTS, the poorer the adherence. A lower compliance scale score using this tool has been shown to be significantly associated with higher BP readings. For this study, we defined good adherence as a score that is less than the group mean Hill‐Bone CHBPTS score and poor adherence as a score that is equal to or greater than the group mean score.

Operational definitions

Ethnicity was defined as Malay, Chinese, Indian, or others. Education level was defined according to the respondents’ self‐reported highest attained level of education as no formal education, primary school, secondary school, or tertiary education (diploma/university). Smoking status was defined as whether the patient was a current smoker, non‐smoker, or ex‐smoker. Body Mass Index (BMI) was calculated as the weight in kg divided by the square of height in meter and classified according to the Asian population. Hypertension was defined as systolic BP ≥ 140 and/or diastolic BP ≥ 90 mmHg or on treatment for hypertension or is a known case of hypertension. BP was defined as controlled if both systolic BP was <140 mmHg and diastolic BP was <90 mmHg or uncontrolled if either one or both were elevated.

Data analysis

Statistical Package for Social Sciences (SPSS) version 24 was used for the statistical analysis in this study. We used descriptive analysis, for example, frequencies, percentages, median, and interquartile range (IQR) to describe the characteristics of the participants. Independent t test was used to determine the association for continuous data, that is, Hill‐bone CHBPTS score and BP readings and chi‐squared test for categorical data, that is, percentage with controlled BP and adherence category. Multiple linear regression was used to identify the determinants of the total Hill‐bone CHBPTS score. We ensured that the assumptions of multiple linear regression analysis were met before running the regression model. All variables with a p Value <.05 in the univariate analysis were entered into the multiple linear regression. The dependent variable was the total Hill‐Bone CHBPTS score. The independent variables are sociodemographic factors (age, gender, level of education, marital status, occupation, smoking status, and alcohol consumption status) and clinical profiles (presence of diabetes, ischemic heart disease, stroke, and body mass index).

RESULTS

Out of 5167 participants screened, 1705 (33%) were hypertensive. Out of these, 927 (54.4%) participants answered the Hill‐Bone CHBPTS questionnaire and were entered into this analysis. Table 1 shows the sociodemographic and clinical characteristics of the participants with hypertension. The mean age was 59.0 ± 13.2 years. More than half of the participants were female (55.6%, n = 515) and 58.2% were housewives, students or retired. The largest ethnic group was Malay (42.2%) with nearly half of them having had at least secondary level of education (48.3%). Majority of them were married (90.4%) and never consumed alcohol (92.4%). Only 11.5% of them were smokers. The main co‐morbidities were diabetes (38.5%), followed by ischemic heart disease (7.7%) or stroke (4.5%). The mean BMI was 27.7 ± 5.5 kg/m2.
TABLE 1

Sociodemographic and clinical characteristics of the study respondents (N = 927)

VariableFrequency N (%)Mean ± SD
Age, years59.0 ± 13.2
Gender
Male414 (44.4)
Female515 (55.6)
Ethnicity
Malay390 (42.2)
Chinese275 (29.7)
Indian116 (12.5)
Others144 (15.6)
Education Level
No formal education34 (3.7)
Primary school185 (20.1)
Secondary school445 (48.3)
College/University257 (27.9)
Employment status
Unemployed532 (58.2)
Employed382 (41.8)
Marital status
Married832 (90.4)
Single88 (9.6)
Smoking
Yes104 (11.5)
No799 (88.5)
Alcohol
Never857 (92.4)
1‐3 times /month55 (5.9)
At least once/ week15 (1.7)
Co‐morbidity
Stroke42 (4.5)
Heart attack71 (7.7)
Diabetes357 (38.5)
Sociodemographic and clinical characteristics of the study respondents (N = 927) The mean Hill‐Bone CHBPTS score was 20.4 ± 4.4 (range 14‐47) and the correlation between HB score and systolic BP was not significant (r = .032, p =.337) but the correlation between HB score with diastolic BP was significant (r = .163, p < .001). Based on the Hill‐Bone CHBPTS, 52.1% (n = 482) had good adherence. Table 2 shows the adherence score for the group as a whole and compares the adherence sub‐scales between controlled and uncontrolled hypertension. The total score and the sub‐scales of medication taking show a statistically significant difference in those with controlled and uncontrolled BP (p < .05), while there were no differences in the sub‐scales of salt intake and appointment keeping. The mean SBP (systolic blood pressure) and DBP (diastolic blood pressure) of the hypertensive participants were 136.4 ± 17.9 and 80.6 ± 11.6 mmHg, respectively. Table 2 also shows the proportion of those with controlled BP was 54.4%. The control rate of diastolic BP was higher than systolic BP.
TABLE 2

Adherence score and comparison of sub‐scales between controlled and not controlled hypertension (N = 926)

Hill‐Bone CHBPTS scoreOverall

Controlled

n = 504 (54.4%)

Not controlled

n = 422 (45.6%)

p
Total score (mean ± SD)20.4 ± 4.420.0 ± 3.720.9 ± 5.0.001
Sub‐scales
Medication taking (mean ± SD)10.3 ± 3.09.9 ± 2.510.8 ± 3.4<.001
Salt intake (mean ± SD)5.7 ± 1.45.7 ± 1.35.7 ± 1.4.998
Appointment keeping (mean ± SD)4.4 ± 1.64.3 ± 1.54.4 ± 1.6.302
BP measurements
SBP, mmHg (mean ± SD)136.4 ± 17.9124.8 ± 9.8153.6 ± 12.5<.001
DBP, mmHg (mean ± SD)80.6 ± 11.676.4 ± 8.197.3 ± 7.5<.001
SBP and DBP combined, mmHg (mean ± SD)

SBP 124.1 ± 9.8

DBP 74.7 ± 8.2

SBP 151.0 ± 13.9

DBP 87.6 ± 11.2

<.001

.001

Pulse rate, bpm (n = 899) (mean ± SD)77.5 ± 12.975.9 ± 11.1107.4 ± 8.3<.001
Adherence score and comparison of sub‐scales between controlled and not controlled hypertension (N = 926) Controlled n = 504 (54.4%) Not controlled n = 422 (45.6%) SBP 124.1 ± 9.8 DBP 74.7 ± 8.2 SBP 151.0 ± 13.9 DBP 87.6 ± 11.2 <.001 .001 Table 3 shows the comparison of the mean SBP and DBP and control rates in those with good and poor adherence. There is statistically significant difference between the control rates of those with good and poor adherence (58.3% vs 50.2%, respectively, and p = .014).
TABLE 3

Comparison of adherence and blood pressure control (N = 926)

Measurements (n = 926)Overall meanHill‐bone CHBPTS score category p

Good adherence

n = 482 (52.1%)

Poor adherence

n = 444 (47.9%)

Mean differenceStandard error
SBP, mmHg (mean ± SD)136.4 ± 17.9136.1 ± 17.2136.7 ± 18.6−0.61.2.615
DBP, mmHg (mean ± SD)80.6 ± 11.679.3 ± 10.582.1 ± 12.6−2.90.8<.001
PR, bpm (mean ± SD)77.5 ± 12.976.9 ± 13.078.1 ± 12.8−1.20.9.116
Controlled BP (n, %)281 (58.3)223 (50.2).014
Comparison of adherence and blood pressure control (N = 926) Good adherence n = 482 (52.1%) Poor adherence n = 444 (47.9%) Table 4 shows the sociodemographic and clinical characteristics associated with total Hill‐bone CHBPTS score using simple and multiple linear regression analysis. In the multiple linear regression analysis, it was found that female participants (β = −0.72, 95% confidence interval [CI] = −1.30, −0.15, p = .014), older aged (β = −0.05, 95% CI = −0.07, −0.03 p < .001), and patients with background of primary education level and below (β = −0.91, 95% CI = −1.59, −0.23, p = .009) had lower Hill‐bone CHBPTS score, indicating they had better adherence to BP therapy medication, salt intake and appointment keeping.
TABLE 4

Determinants of total Hill‐bone score among patients with hypertension using multiple linear regression (n = 927)

Variables (and Hill‐Bone CHBPTS score)Simple Linear RegressionMultiple Linear Regression
Crude β (95% CI) p ValueAdjusted β (95% CI) p Value*
Age−0.05 (−0.07, −0.03)<.001−0.05 (−0.07, −0.03)<.001
Female gender
Male22.0 ± 4.4−0.61 (−1.17, −0.04).035−0.72 (−1.30, −0.15).014
Female21.6 ± 3.6
Marital Status (married)
Married20.4 ± 4.30.36 (−0.61, 1.32).468
Single/Never married20.7 ± 5.1
Employment status (employed)
Employed20.8 ± 4.40.69 (0.12,1.26).017
Non employed20.1 ± 4.3
Education Level
Primary and below19.7 ± 3.6−0.94 (−1.60, −0.28).005−0.91 (−1.59, −0.23).009
Secondary education20.5 ± 4.40.27 (−0.29, 0.83).351
Tertiary education20.7 ± 4.70.44 (−0.19, 1.06).173
Smoking Status
Yes21.1 ± 4.4−0.71 (−1.61, 0.18).118
No20.3 ± 4.4
Alcohol consumption
Yes20.1 ± 4.0−0.50 (−1.32, 0.33).235
No20.4 ± 4.4
Diabetes status
Yes20.0 ± 4.10.66 (0.11, 1.21).018
No20.7 ± 4.5
Heart attack
Yes19.7 ± 2.90.80 (−0.19, 1.79).112
No20.5 ± 4.4
Stroke
Yes21.6 ± 5.4−0.67 (−1.89, 0.55).280
No20.3 ± 4.3

Significant value only.

Determinants of total Hill‐bone score among patients with hypertension using multiple linear regression (n = 927) Significant value only.

DISCUSSION

Our study showed that individuals with hypertension who were older, being female and with a lower educational level were more adherent to BP management. Our findings are comparable to and consistent with other studies where patients with hypertension aged between 65 to 80 years had better treatment adherence compared to younger hypertensive patients (<50 years) or much older patients (>80 years old). , , , However, there was a study that reported younger adults had better adherence. Our study also showed that females have better adherence than males. This was in line with other studies where gender affects the behavior toward medication adherence. , , Female patients demonstrated better and more active health‐seeking behavior when empowered. They tend to seek substantial physical and mental health support and advice from their clinicians as compared to males. Thus, designing, implementing, and evaluating intervention programs to improve adherence should not be “one size fits all” but rather take into consideration the role gender plays in decision making on treatment adherence. A surprising finding was that those with a lower educational level had a better adherence. This differs from two other studies that showed that participants with a lower educational level associated with a lower income and lower health literacy generally reported lower adherence to antihypertensive medications. , This may be due to those with higher education who may be using alternative strategies like better weight control, more exercise, less smoking or consumption of alcohol or complementary medications to reduce their BP which are relevant parameters that are not captured in the Hill‐Bone CHBPTS score. However, we also need to consider there may be a selection bias as there were fewer participants with higher education (51.0%) answering the scale versus 69.5% of those with a lower educational level who did so. In our study, there was no association of adherence with a history of stroke. This is in contrast to a study, which showed that those with co‐morbidities had better adherence. This could be due to the fact that those with stroke had difficulty in keeping their appointment, which is a subscale captured in the Hill‐bone CBPTS while other studies on the adherence probably have not included this domain. This study showed that BP control rates were higher in those with good adherence. Our finding is consistent with other studies, and this emphasizes again the importance of adherence to achieve good BP control. , Knowledge of factors associated with adherence to hypertension management will help us plan and focus more on those who are less adherent to achieve better BP control. A sub‐analysis of the determinants of DBP control was done. For the multiple logistic regression for determinants of DBP control are those with an older age, being Chinese, females, skilled worker, receiving lower education level, underlying diabetes, and having good adherence (Table S1). This is consistent with the determinants of the good adherence. Thus, this explains why the diastolic blood pressure is better controlled among those hypertensives with a good adherence. In addition, older population appeared to be one of the determinants of the good diastolic blood pressure control. This could be explained by the fact that the low adherence is more prevalent in the young population and worsens control of diastolic blood pressure. The strengths of this study are the large sample size of participants who closely resemble the overall socio‐demography of Malaysia. This study was also conducted in a wide variety of sites, including rural and urban health clinics as well as screening in community halls and universities. The main limitation was that this study was a cross‐sectional study design which may limit causality. Another limitation was that we used an indirect measurement of adherence with self‐reported questionnaire while the “gold standard” remains as the measurements of metabolites of antihypertensive drugs in the blood or urine. Another limitation is the lower validity and reliability score of the Malay version of this Hill‐Bone CHBPTS as reported in a previous local study. However, we have decided to use this score as it measures more than one domain of adherence, and hence, this should be taken into consideration. There may also be respondent bias as only 54.4% of hypertensive participants answered the Hill‐Bone CHBPTS. Nevertheless, by adjusting for cofounders in the multivariate analysis, the authors have managed to identify the true determinants of adherence using this scale.

CONCLUSION

Our study findings have shown that those older, being female and of a lower educational level were more adherent to hypertension management. Furthermore, as adherence to reduction in salt intake, medication taking and appointment keeping have been associated with better BP control among patients with hypertension, it is essential for clinicians to engage and educate the patients about the importance of adherence through identifying the correlated factors of non‐adherence in improving BP control.

CONFLICT OF INTEREST

Yook Chin Chia has received speakers’ honorarium from Abbott, Boehringer Ingelheim, Omron, Pfizer, Servier, and Zeullig in the past 3 years and has also received an investigator‐initiated research grant from Pfizer. The other authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

AUTHOR CONTRIBUTIONS

YCC conceptalised the study, YCC, NKD, SMC, PBO, MTC, HML, and HCB wrote the paper, collected the data, performed statistical analysis, revised the manuscript critically for important intellectual content, and gave final approval of the manuscript. BNC, MM, ASO, HSH, AHMG, DH, PSK, CLT, PFW, and HH collected the data, revised the manuscript critically for important intellectual content, and gave final approval of the manuscript. For the revision, YCC, NKD, SMC, and MTC drafted the revision and all authors finalized and approved the revised article.

DISCLOSURE

We would like to thank Malaysian Society of Hypertension for partially funding the study. We would like to thank Omron, Rossmax, and Microlife for their sponsorship of digital BP sets. Table S1 Click here for additional data file.
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Authors:  Mohammad H Forouzanfar; Lily Alexander; H Ross Anderson; Victoria F Bachman; Stan Biryukov; Michael Brauer; Richard Burnett; Daniel Casey; Matthew M Coates; Aaron Cohen; Kristen Delwiche; Kara Estep; Joseph J Frostad; K C Astha; Hmwe H Kyu; Maziar Moradi-Lakeh; Marie Ng; Erica Leigh Slepak; Bernadette A Thomas; Joseph Wagner; Gunn Marit Aasvang; Cristiana Abbafati; Ayse Abbasoglu Ozgoren; Foad Abd-Allah; Semaw F Abera; Victor Aboyans; Biju Abraham; Jerry Puthenpurakal Abraham; Ibrahim Abubakar; Niveen M E Abu-Rmeileh; Tania C Aburto; Tom Achoki; Ademola Adelekan; Koranteng Adofo; Arsène K Adou; José C Adsuar; Ashkan Afshin; Emilie E Agardh; Mazin J Al Khabouri; Faris H Al Lami; Sayed Saidul Alam; Deena Alasfoor; Mohammed I Albittar; Miguel A Alegretti; Alicia V Aleman; Zewdie A Alemu; Rafael Alfonso-Cristancho; Samia Alhabib; Raghib Ali; Mohammed K Ali; François Alla; Peter Allebeck; Peter J Allen; Ubai Alsharif; Elena Alvarez; Nelson Alvis-Guzman; Adansi A Amankwaa; Azmeraw T Amare; Emmanuel A Ameh; Omid Ameli; Heresh Amini; Walid Ammar; Benjamin O Anderson; Carl Abelardo T Antonio; Palwasha Anwari; Solveig Argeseanu Cunningham; Johan Arnlöv; Valentina S Arsic Arsenijevic; Al Artaman; Rana J Asghar; Reza Assadi; Lydia S Atkins; Charles Atkinson; Marco A Avila; Baffour Awuah; Alaa Badawi; Maria C Bahit; Talal Bakfalouni; Kalpana Balakrishnan; Shivanthi Balalla; Ravi Kumar Balu; Amitava Banerjee; Ryan M Barber; Suzanne L Barker-Collo; Simon Barquera; Lars Barregard; Lope H Barrero; Tonatiuh Barrientos-Gutierrez; Ana C Basto-Abreu; Arindam Basu; Sanjay Basu; Mohammed O Basulaiman; Carolina Batis Ruvalcaba; Justin Beardsley; Neeraj Bedi; Tolesa Bekele; Michelle L Bell; Corina Benjet; Derrick A Bennett; Habib Benzian; Eduardo Bernabé; Tariku J Beyene; Neeraj Bhala; Ashish Bhalla; Zulfiqar A Bhutta; Boris Bikbov; Aref A Bin Abdulhak; Jed D Blore; Fiona M Blyth; Megan A Bohensky; Berrak Bora Başara; Guilherme Borges; Natan M Bornstein; Dipan Bose; Soufiane Boufous; Rupert R Bourne; Michael Brainin; Alexandra Brazinova; Nicholas J Breitborde; Hermann Brenner; Adam D M Briggs; David M Broday; Peter M Brooks; Nigel G Bruce; Traolach S Brugha; Bert Brunekreef; Rachelle Buchbinder; Linh N Bui; Gene Bukhman; Andrew G Bulloch; Michael Burch; Peter G J Burney; Ismael R Campos-Nonato; Julio C Campuzano; Alejandra J Cantoral; Jack Caravanos; Rosario Cárdenas; Elisabeth Cardis; David O Carpenter; Valeria Caso; Carlos A Castañeda-Orjuela; Ruben E Castro; Ferrán Catalá-López; Fiorella Cavalleri; Alanur Çavlin; Vineet K Chadha; Jung-Chen Chang; Fiona J Charlson; Honglei Chen; Wanqing Chen; Zhengming Chen; Peggy P Chiang; Odgerel Chimed-Ochir; Rajiv Chowdhury; Costas A Christophi; Ting-Wu Chuang; Sumeet S Chugh; Massimo Cirillo; Thomas K D Claßen; Valentina Colistro; Mercedes Colomar; Samantha M Colquhoun; Alejandra G Contreras; Cyrus Cooper; Kimberly Cooperrider; Leslie T Cooper; Josef Coresh; Karen J Courville; Michael H Criqui; Lucia Cuevas-Nasu; James Damsere-Derry; Hadi Danawi; Lalit Dandona; Rakhi Dandona; Paul I Dargan; Adrian Davis; Dragos V Davitoiu; Anand Dayama; E Filipa de Castro; Vanessa De la Cruz-Góngora; Diego De Leo; Graça de Lima; Louisa Degenhardt; Borja del Pozo-Cruz; Robert P Dellavalle; Kebede Deribe; Sarah Derrett; Don C Des Jarlais; Muluken Dessalegn; Gabrielle A deVeber; Karen M Devries; Samath D Dharmaratne; Mukesh K Dherani; Daniel Dicker; Eric L Ding; Klara Dokova; E Ray Dorsey; Tim R Driscoll; Leilei Duan; Adnan M Durrani; Beth E Ebel; Richard G Ellenbogen; Yousef M Elshrek; Matthias Endres; Sergey P Ermakov; Holly E Erskine; Babak Eshrati; Alireza Esteghamati; Saman Fahimi; Emerito Jose A Faraon; Farshad Farzadfar; Derek F J Fay; Valery L Feigin; Andrea B Feigl; Seyed-Mohammad Fereshtehnejad; Alize J Ferrari; Cleusa P Ferri; Abraham D Flaxman; Thomas D Fleming; Nataliya Foigt; Kyle J Foreman; Urbano Fra Paleo; Richard C Franklin; Belinda Gabbe; Lynne Gaffikin; Emmanuela Gakidou; Amiran Gamkrelidze; Fortuné G Gankpé; Ron T Gansevoort; Francisco A García-Guerra; Evariste Gasana; Johanna M Geleijnse; Bradford D Gessner; Pete Gething; Katherine B Gibney; Richard F Gillum; Ibrahim A M Ginawi; Maurice Giroud; Giorgia Giussani; Shifalika Goenka; Ketevan Goginashvili; Hector Gomez Dantes; Philimon Gona; Teresita Gonzalez de Cosio; Dinorah González-Castell; Carolyn C Gotay; Atsushi Goto; Hebe N Gouda; Richard L Guerrant; Harish C Gugnani; Francis Guillemin; David Gunnell; Rahul Gupta; Rajeev Gupta; Reyna A Gutiérrez; Nima Hafezi-Nejad; Holly Hagan; Maria Hagstromer; Yara A Halasa; Randah R Hamadeh; Mouhanad Hammami; Graeme J Hankey; Yuantao Hao; Hilda L Harb; Tilahun Nigatu Haregu; Josep Maria Haro; Rasmus Havmoeller; Simon I Hay; Mohammad T Hedayati; Ileana B Heredia-Pi; Lucia Hernandez; Kyle R Heuton; Pouria Heydarpour; Martha Hijar; Hans W Hoek; Howard J Hoffman; John C Hornberger; H Dean Hosgood; Damian G Hoy; Mohamed Hsairi; Guoqing Hu; Howard Hu; Cheng Huang; John J Huang; Bryan J Hubbell; Laetitia Huiart; Abdullatif Husseini; Marissa L Iannarone; Kim M Iburg; Bulat T Idrisov; Nayu Ikeda; Kaire Innos; Manami Inoue; Farhad Islami; Samaya Ismayilova; Kathryn H Jacobsen; Henrica A Jansen; Deborah L Jarvis; Simerjot K Jassal; Alejandra Jauregui; Sudha Jayaraman; Panniyammakal Jeemon; Paul N Jensen; Vivekanand Jha; Fan Jiang; Guohong Jiang; Ying Jiang; Jost B Jonas; Knud Juel; Haidong Kan; Sidibe S Kany Roseline; Nadim E Karam; André Karch; Corine K Karema; Ganesan Karthikeyan; Anil Kaul; Norito Kawakami; Dhruv S Kazi; Andrew H Kemp; Andre P Kengne; Andre Keren; Yousef S Khader; Shams Eldin Ali Hassan Khalifa; Ejaz A Khan; Young-Ho Khang; Shahab Khatibzadeh; Irma Khonelidze; Christian Kieling; Daniel Kim; Sungroul Kim; Yunjin Kim; Ruth W Kimokoti; Yohannes Kinfu; Jonas M Kinge; Brett M Kissela; Miia Kivipelto; Luke D Knibbs; Ann Kristin Knudsen; Yoshihiro Kokubo; M Rifat Kose; Soewarta Kosen; Alexander Kraemer; Michael Kravchenko; Sanjay Krishnaswami; Hans Kromhout; Tiffany Ku; Barthelemy Kuate Defo; Burcu Kucuk Bicer; Ernst J Kuipers; Chanda Kulkarni; Veena S Kulkarni; G Anil Kumar; Gene F Kwan; Taavi Lai; Arjun Lakshmana Balaji; Ratilal Lalloo; Tea Lallukka; Hilton Lam; Qing Lan; Van C Lansingh; Heidi J Larson; Anders Larsson; Dennis O Laryea; Pablo M Lavados; Alicia E Lawrynowicz; Janet L Leasher; Jong-Tae Lee; James Leigh; Ricky Leung; Miriam Levi; Yichong Li; Yongmei Li; Juan Liang; Xiaofeng Liang; Stephen S Lim; M Patrice Lindsay; Steven E Lipshultz; Shiwei Liu; Yang Liu; Belinda K Lloyd; Giancarlo Logroscino; Stephanie J London; Nancy Lopez; Joannie Lortet-Tieulent; Paulo A Lotufo; Rafael Lozano; Raimundas Lunevicius; Jixiang Ma; Stefan Ma; Vasco M P Machado; Michael F MacIntyre; Carlos Magis-Rodriguez; Abbas A Mahdi; Marek Majdan; Reza Malekzadeh; Srikanth Mangalam; Christopher C Mapoma; Marape Marape; Wagner Marcenes; David J Margolis; Christopher Margono; Guy B Marks; Randall V Martin; Melvin B Marzan; Mohammad T Mashal; Felix Masiye; Amanda J Mason-Jones; Kunihiro Matsushita; Richard Matzopoulos; Bongani M Mayosi; Tasara T Mazorodze; Abigail C McKay; Martin McKee; Abigail McLain; Peter A Meaney; Catalina Medina; Man Mohan Mehndiratta; Fabiola Mejia-Rodriguez; Wubegzier Mekonnen; Yohannes A Melaku; Michele Meltzer; Ziad A Memish; Walter Mendoza; George A Mensah; Atte Meretoja; Francis Apolinary Mhimbira; Renata Micha; Ted R Miller; Edward J Mills; Awoke Misganaw; Santosh Mishra; Norlinah Mohamed Ibrahim; Karzan A Mohammad; Ali H Mokdad; Glen L Mola; Lorenzo Monasta; Julio C Montañez Hernandez; Marcella Montico; Ami R Moore; Lidia Morawska; Rintaro Mori; Joanna Moschandreas; Wilkister N Moturi; Dariush Mozaffarian; Ulrich O Mueller; Mitsuru Mukaigawara; Erin C Mullany; Kinnari S Murthy; Mohsen Naghavi; Ziad Nahas; Aliya Naheed; Kovin S Naidoo; Luigi Naldi; Devina Nand; Vinay Nangia; K M Venkat Narayan; Denis Nash; Bruce Neal; Chakib Nejjari; Sudan P Neupane; Charles R Newton; Frida N Ngalesoni; Jean de Dieu Ngirabega; Grant Nguyen; Nhung T Nguyen; Mark J Nieuwenhuijsen; Muhammad I Nisar; José R Nogueira; Joan M Nolla; Sandra Nolte; Ole F Norheim; Rosana E Norman; Bo Norrving; Luke Nyakarahuka; In-Hwan Oh; Takayoshi Ohkubo; Bolajoko O Olusanya; Saad B Omer; John Nelson Opio; Ricardo Orozco; Rodolfo S Pagcatipunan; Amanda W Pain; Jeyaraj D Pandian; Carlo Irwin A Panelo; Christina Papachristou; Eun-Kee Park; Charles D Parry; Angel J Paternina Caicedo; Scott B Patten; Vinod K Paul; Boris I Pavlin; Neil Pearce; Lilia S Pedraza; Andrea Pedroza; Ljiljana Pejin Stokic; Ayfer Pekericli; David M Pereira; Rogelio Perez-Padilla; Fernando Perez-Ruiz; Norberto Perico; Samuel A L Perry; Aslam Pervaiz; Konrad Pesudovs; Carrie B Peterson; Max Petzold; Michael R Phillips; Hwee Pin Phua; Dietrich Plass; Dan Poenaru; Guilherme V Polanczyk; Suzanne Polinder; Constance D Pond; C Arden Pope; Daniel Pope; Svetlana Popova; Farshad Pourmalek; John Powles; Dorairaj Prabhakaran; Noela M Prasad; Dima M Qato; Amado D Quezada; D Alex A Quistberg; Lionel Racapé; Anwar Rafay; Kazem Rahimi; Vafa Rahimi-Movaghar; Sajjad Ur Rahman; Murugesan Raju; Ivo Rakovac; Saleem M Rana; Mayuree Rao; Homie Razavi; K Srinath Reddy; Amany H Refaat; Jürgen Rehm; Giuseppe Remuzzi; Antonio L Ribeiro; Patricia M Riccio; Lee Richardson; Anne Riederer; Margaret Robinson; Anna Roca; Alina Rodriguez; David Rojas-Rueda; Isabelle Romieu; Luca Ronfani; Robin Room; Nobhojit Roy; George M Ruhago; Lesley Rushton; Nsanzimana Sabin; Ralph L Sacco; Sukanta Saha; Ramesh Sahathevan; Mohammad Ali Sahraian; Joshua A Salomon; Deborah Salvo; Uchechukwu K Sampson; Juan R Sanabria; Luz Maria Sanchez; Tania G Sánchez-Pimienta; Lidia Sanchez-Riera; Logan Sandar; Itamar S Santos; Amir Sapkota; Maheswar Satpathy; James E Saunders; Monika Sawhney; Mete I Saylan; Peter Scarborough; Jürgen C Schmidt; Ione J C Schneider; Ben Schöttker; David C Schwebel; James G Scott; Soraya Seedat; Sadaf G Sepanlou; Berrin Serdar; Edson E Servan-Mori; Gavin Shaddick; Saeid Shahraz; Teresa Shamah Levy; Siyi Shangguan; Jun She; Sara Sheikhbahaei; Kenji Shibuya; Hwashin H Shin; Yukito Shinohara; Rahman Shiri; Kawkab Shishani; Ivy Shiue; Inga D Sigfusdottir; Donald H Silberberg; Edgar P Simard; Shireen Sindi; Abhishek Singh; Gitanjali M Singh; Jasvinder A Singh; Vegard Skirbekk; Karen Sliwa; Michael Soljak; Samir Soneji; Kjetil Søreide; Sergey Soshnikov; Luciano A Sposato; Chandrashekhar T Sreeramareddy; Nicolas J C Stapelberg; Vasiliki Stathopoulou; Nadine Steckling; Dan J Stein; Murray B Stein; Natalie Stephens; Heidi Stöckl; Kurt Straif; Konstantinos Stroumpoulis; Lela Sturua; Bruno F Sunguya; Soumya Swaminathan; Mamta Swaroop; Bryan L Sykes; Karen M Tabb; Ken Takahashi; Roberto T Talongwa; Nikhil Tandon; David Tanne; Marcel Tanner; Mohammad Tavakkoli; Braden J Te Ao; Carolina M Teixeira; Martha M Téllez Rojo; Abdullah S Terkawi; José Luis Texcalac-Sangrador; Sarah V Thackway; Blake Thomson; Andrew L Thorne-Lyman; Amanda G Thrift; George D Thurston; Taavi Tillmann; Myriam Tobollik; Marcello Tonelli; Fotis Topouzis; Jeffrey A Towbin; Hideaki Toyoshima; Jefferson Traebert; Bach X Tran; Leonardo Trasande; Matias Trillini; Ulises Trujillo; Zacharie Tsala Dimbuene; Miltiadis Tsilimbaris; Emin Murat Tuzcu; Uche S Uchendu; Kingsley N Ukwaja; Selen B Uzun; Steven van de Vijver; Rita Van Dingenen; Coen H van Gool; Jim van Os; Yuri Y Varakin; Tommi J Vasankari; Ana Maria N Vasconcelos; Monica S Vavilala; Lennert J Veerman; Gustavo Velasquez-Melendez; N Venketasubramanian; Lakshmi Vijayakumar; Salvador Villalpando; Francesco S Violante; Vasiliy Victorovich Vlassov; Stein Emil Vollset; Gregory R Wagner; Stephen G Waller; Mitchell T Wallin; Xia Wan; Haidong Wang; JianLi Wang; Linhong Wang; Wenzhi Wang; Yanping Wang; Tati S Warouw; Charlotte H Watts; Scott Weichenthal; Elisabete Weiderpass; Robert G Weintraub; Andrea Werdecker; K Ryan Wessells; Ronny Westerman; Harvey A Whiteford; James D Wilkinson; Hywel C Williams; Thomas N Williams; Solomon M Woldeyohannes; Charles D A Wolfe; John Q Wong; Anthony D Woolf; Jonathan L Wright; Brittany Wurtz; Gelin Xu; Lijing L Yan; Gonghuan Yang; Yuichiro Yano; Pengpeng Ye; Muluken Yenesew; Gökalp K Yentür; Paul Yip; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Z Younis; Zourkaleini Younoussi; Chuanhua Yu; Maysaa E Zaki; Yong Zhao; Yingfeng Zheng; Maigeng Zhou; Jun Zhu; Shankuan Zhu; Xiaonong Zou; Joseph R Zunt; Alan D Lopez; Theo Vos; Christopher J Murray
Journal:  Lancet       Date:  2015-09-11       Impact factor: 79.321

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  1 in total

1.  Relationship of an adherence score with blood pressure control status among patients with hypertension and their determinants: Findings from a nationwide blood pressure screening program.

Authors:  Yook Chin Chia; Navin Kumar Devaraj; Siew Mooi Ching; Pei Boon Ooi; Ming Tsuey Chew; Bee Nah Chew; Mohazmi Mohamed; Hooi Min Lim; Hooi Chin Beh; Azli Shahril Othman; Hanis Saadah Husin; Abdul Hafiz Mohamad Gani; Dalyana Hamid; Pei San Kang; Chai Li Tay; Ping Foo Wong; Haslinda Hassan
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-02-14       Impact factor: 3.738

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