Literature DB >> 35136782

Adherence to antihypertensive therapy and its determinants among patients attending primary care hospitals of Kashmir, India.

Waseem Raja1, Taha Ayub1, Asif Jeelani1, S Muhammad Salim Khan1.   

Abstract

BACKGROUND: Adherence to antihypertensive therapy is an important factor in determining the clinical course of hypertension. This study was planned to estimate adherence to antihypertensive therapy and its determinants among OPD patients attending two primary care hospitals in Kashmir valley.
METHODS: This study employed a cross-sectional study design. All subjects who reported to OPD between October and December 2020 and had been prescribed antihypertensive medications for at least 1 year were included. Sociodemographic information was collected on a pretested schedule and adherence to medications was assessed by using the-14 item Hill-Bone HBP Compliance to High Blood Pressure Therapy Scale (HB-HBP). Mann-Whitney test and Spearman's rank correlation coefficient were used.
RESULTS: A total of 406 subjects were included in the final analysis with a mean age of 58 years for women and 56 years for men. The sample comprised 54% women. More than 60% of subjects were currently married, urban area residents, and belonged to middle strata of social class. The mean score obtained in the HB-MAS (maximum score 56) was 19.26 (SD ± 4.3). Subjects aged 60 years and above, those belonging to lower socioeconomic class, and subjects prescribed three or more drugs with more than once-daily dosing regimen had higher odds of having poor adherence.
CONCLUSION: There is suboptimal adherence among OPD patients at primary care level. There is a need for enhanced counselling regarding medication adherence particularly for elderly, poor, illiterate persons and those prescribed multiple medicines with more than once-daily dosing. Copyright:
© 2021 Journal of Family Medicine and Primary Care.

Entities:  

Keywords:  Adherence; antihypertensive drugs; hill-bone scale; hypertension; medication

Year:  2021        PMID: 35136782      PMCID: PMC8797075          DOI: 10.4103/jfmpc.jfmpc_668_21

Source DB:  PubMed          Journal:  J Family Med Prim Care        ISSN: 2249-4863


Introduction

Hypertension ranks first as a cause of Disability Adjusted Life Years worldwide (DALY).[12] It is a leading risk factor for cardiovascular disease (CVD), chronic kidney disease as well as dementia due to cerebral small vessel disease.[3] In addition, hypertension is the most common risk factor for cerebrovascular disease including both haemorrhagic and ischemic strokes.[45] An estimated 26% of the global population have hypertension and it is only projected to increase in future. Studies have estimated an even higher prevalence of hypertension in India with some studies estimating the prevalence of as high as 40%.[678] Despite the high prevalence, awareness regarding hypertension remains low.[9] In addition the percentage of untreated and uncontrolled hypertension is also high.[10] Hypertension is becoming one of the leading causes for visits to hospitals and constitutes a major proportion of patients visiting primary care hospitals.[811] Patients with poorly controlled blood pressure are at higher risk for short-term complications in addition to higher risk for long-term complications like CVDs, chronic kidney disease and cerebrovascular accidents.[5] Essential hypertension contributes to 95% cases of hypertension and its management includes multiple interventions ranging from lifestyle modifications to medications.[1213] Adherence to therapy is an important factor that determines response to therapy. Despite its importance, adherence is usually suboptimal.[14] Since a patient usually underreports poor adherence, it is important to have objective ways of assessing adherence.[15] Validated scales provide us a quantifiable assessment of adherence and can guide in decision making. Hill-Bone HBP Compliance to High Blood Pressure Therapy Scale (HB-HBP) is one such validated scale to measure adherence.[16]

Objectives

Adherence to high blood pressure therapy is one of the important factors which determine the degree of blood pressure control in short term and morbidity/mortality associated with hypertension in long term. Keeping in view its importance, this study was planned to estimate adherence to antihypertensive therapy among OPD patients attending one primary care hospital in Kashmir valley.

Methodology

Study design, setting and participants

The study had a cross-sectional design and was conducted in an urban health training centre affiliated to a medical college. The health facility is located in an urban area and caters a primarily urban populace with a good rural mix. The hospital sees an average footfall of around 500 patients daily. The hospital is a 24*7 facility with round-the-clock laboratory and diagnostic support. All adult patients aged 18 years and above who visited OPD of the hospital between October to December 2020 and were taking any antihypertensive medications for at least 1 year were explained the purpose of the study and their consent sought. Subjects who provided informed consent were included in the study.

Demographic and clinical information

A pretested schedule was used to collect basic socio-demographic information, past medical and surgical history, any history of comorbidity, history related to hypertension and self-perceived quality of life. In addition a detailed history was collected related to hypertension in terms of its duration, duration of treatment, no of antihypertensive drugs prescribed, dosage regimen prescribed and type of antihypertensive prescribed. All information was correlated with available medical records and those with unavailable records were followed up for a second time for reviewing medical records. Following this blood pressure was recorded as per recommended protocol which was followed by weight and height measurement.[17] Self-perceived health status was categorized as excellent, good, not good/neither bad, poor and very poor.

Assessment of adherence

Adherence to therapy for high blood pressure was estimated using Hill-Bone HBP Compliance to High Blood Pressure Therapy Scale (HB-HBP).[1819] It is a 14 item scale that can be divided into three subscales. The scale has nine items related to medication adherence, three items related to sodium intake, and two items related to appointment keeping subscale. Each item is scored on a 4-point Likert scale with a score of 4 meaning the highest level of adherence. The maximum and minimum scores are 56 and 14 respectively for all 14 items. The maximum scores for medication adherence, sodium intake and appointment keeping subscales are 36, 12, and 8, respectively.[16]

Sample size calculation

Sample size was calculated using the formula for prevalence studies. The proportion of subjects with good adherence was estimated to be 50%. The desired precision and confidence level was estimated at 0.05 and 0.95 respectively. The minimum sample size required was estimated to be 385.

Exclusion criteria

Subjects less than 18 years, subjects suffering from dementia and other diseases which can affect recall and subjects severely ill were excluded from the study.

Variables

The study estimated total scores and subscale scores of Hill-Bone HBP Compliance to High Blood Pressure Therapy Scale (HB-HBP), socio-economic class as per modified Kuppuswamy scale for 2020, systolic and diastolic blood pressure, and body mass index (as per standard definition).[20]

Statistical methods

The data was entered in excel and analysed using JASP version 14 statistical software which is open source software.[21] The variables were categorized into quantitative and qualitative variables. Correlations between two quantitative variables were estimated by the Spearman rank correlation coefficient. Association of any qualitative variable on adherence was assessed by Mann–Whitney and Kruskal–Wallis test. Records with any missing data ware excluded from the analysis.

Ethics statement

The study was approved by the institutional review committee. Informed consent was sought from all subjects for participation in the study and the subjects had an option to opt-out at any time of the study.

Results

Description of study sample

A total of 492 subjects met the inclusion criteria and were approached for participation in the study. Of these 448 provided consent and were included in the study. The age and gender composition of subjects who denied consent were not significantly different from final study subjects. Of these 33 subjects could not provide complete medical records and 9 records were excluded due to their incompleteness. The remaining 406 subjects were included in the final analysis. The flow chart for the same is depicted as Figure 1.
Figure 1

Flowchart showing subjects recruited in the study

Flowchart showing subjects recruited in the study The study sample was composed of 54% females, 78% urban area residents, and 77% were currently married. One-third of females were illiterate whereas 1/4th of males were illiterate. Around half of males were self-employed and 70% of females were homemakers. Around half of the study subjects belonged to the middle strata of the socio-economic group with there being no significant difference in socio-economic class between males and females. The details are provided in Table 1.
Table 1

Characteristics of study subjects

VariableValue MaleFemale (No)


No%No%
Age18-403317.82913.1
41-606535.17835.3
61 and above8747.011451.6
ResidenceUrban14377.317679.6
Rural4222.74520.4
Marital StatusUnmarried2111.4198.6
Married13975.117378.3
Widowed/Divorced2513.52913.1
ReligionMuslim16689.720994.6
Hindu126.573.2
Sikh73.852.3
Educational statusIlliterate4323.27935.7
Primary and below4825.97433.5
Secondary3820.54319.5
Graduate and above5630.22511.3
Employment statusGovernment3921.12310.4
Self employed8948.12913.1
Student31.620.9
Homemaker00.015670.6
Retired with pension2312.4115.0
Unemployed3116.800.0
Socioeconomic scale (modified for 2020)Upper (I)3116.83917.6
Upper Middle (II)4825.95826.2
Lower Middle (III)5328.66429.0
Upper Lower (IV)2915.73114.0
Lower (V)2413.02913.1
Characteristics of study subjects

Antihypertensive medications

More than 70% of participants had a duration of 5 years or more on antihypertensive treatment and half of the subjects were on two antihypertensive medications. The most commonly prescribed dosing regimen was once daily which had been prescribed to 70% of subjects. Out-of-pocket expenditure was the most common mechanism for procuring medicines being as high as 90%. Around one-fourth of subjects reported their health status above good with another 25% reporting it poor or bad. Only half of the subjects had a normal blood pressure reading at assessment and the proportion was less for males. The details are provided in Table 2.
Table 2

Description of antihypertensive treatment among study subjects

VariableValueMaleFemale


No%No%
Duration of Rx1-5 years6233.56730.3
5 to 10 years8747.09844.3
More than 10 years3619.55625.3
No of drugs using currently14926.54219.0
29450.811150.2
3 or more4222.76830.8
DosageOnce daily11964.315268.8
BD6133.06629.9
TID52.731.4
Cost of drugs covered bySelf12467.0188.1
Family4624.918282.4
Insurance/employer21.100.0
NGO/Free 137219.5
Current health statusExcellent or good6535.15625.3
Not good and nor bad8344.911351.1
poor or very bad3720.05223.5
Blood pressure (JNC Classification)Normal 7741.611853.4
Prehypertension6334.16127.6
Stage 1 & 24524.34219.0
Description of antihypertensive treatment among study subjects

Adherence to high blood pressure therapy

The subjects attained a mean total score of 19.8 ± 3.12 with a maximum of 28 and a minimum score of 14. The score was 13.04 ± 2.05 for the medication adherence sub-scale. For reduced sodium intake and appointment keeping subscale the scores were 4.42 ± 1.1 and 2.34 ± 0.57. The scores are depicted as box plots in Figure 2.
Figure 2

Box plot for total and subscale scores in Hill bone CHBPTS

Box plot for total and subscale scores in Hill bone CHBPTS

Determinants of adherence to high BP therapy

Quantitative variables

Age of the subject, systolic and diastolic blood pressure at assessment had a significant negative correlation with the total score, medication adherence subscale and appointment keeping subscale. The reduced sodium intake subscale did not have any significant correlation with age but had a significant negative correlation with systolic and diastolic blood pressure. BMI did not have any significant correlation with total or any of the subscale scores. The correlation coefficients for each variable are provided in Table 3.
Table 3

Correlation of quantitative variable with CHBPTS

AgeSBPDBPBMI
Total score-0.235*-0.624*-0.579*0.004
Medication taking-0.242*-0.522*-0.576*0.036
Reduced sodium intake -0.026-0.398*-0.338*-0.01
Appointment keeping-0.242*-0.263*-0.293*-0.004

RR with Spearman Rank Correlation Coefficient. *Denotes statistically significant association

Correlation of quantitative variable with CHBPTS RR with Spearman Rank Correlation Coefficient. *Denotes statistically significant association

Qualitative variable

Female gender, rural area residence, and upper socioeconomic strata were significantly related with the higher total score, higher medication adherence score and higher appointment keeping score. All three had no significant relation with reduced salt intake subscale. Total and subscale scores were also significantly related to the number of drugs prescribed and dosing regimen. Prescription of fewer than two drugs with once-daily dosing was associated with better adherence. Marital status and level of education and history of associated comorbidity had no significant relation with adherence scores. The detailed values are provided in Table 4.
Table 4

Correlation of qualitative variables with score on CHBPTS

VariableTotal scoreMedication AdherenceReduced Salt intakeAppointment keeping
Gender
 Female20.9 (3.8)13.4 (2.8)5.1. (1.1)2.4 (0.6)
 Male19.1 (2.9)12.4 (2.4)4.9 (1.01)1.8 (0.3)
P<.001<.0010.089<.001
Socioeconomic scale (2020)
 Upper (I)22.2 (4.1)15.3 (3.32)4.06 (0.7)2.9 (0.59)
 Upper & Lower Middle (II & III)20.8 (3.3)13.9 (2.63)4.5 (1.05)2.39 (0.5)
 Upper Lower & Lower (IV & V)18.3 (2.5)11.8 (2.1)4.34 (1.14)2.2 (0.42)
P<.001<.0010.2<.001
Residence
 Urban19.4 (3.2)12.8 (2.8)4.3 (1.01)2.3 (0.5)
 Rural20.9 (2.9)13.6 (2.1)4.8 (0.78)2.55 (0.7)
P<.001*0.010.78<.001*
Marital status
 Currently married19.2 (3.2)12.9 (2.4)4.1 (1.1)2.2 (0.6)
 Unmarried/widowed/divorced19.8 (2.5)13.1 (2.1)4.4 (1.2)2.3 (0.8)
P0.0730.0610.051<.3
Level of education
 Illiterate20.08 (3.4)13.15 (2.6)4.46 (1.06)2.41 (0.46)
 Below graduate level19.44 (3.3)13.36 (2.8)4.3 (1.14)2.27 (0.61)
 Graduate and above19.42 (3.1)12.84 (2.62)4.24 (0.98)2.39 (0.8)
P0.0030.0670.710.054
No of drugs prescribed
 120.86 (3.1)13.76 (2.66)4.48 (1.01)2.62 (0.79)
 220.81 (3.2)13.66 (2.63)4.82 (0.98)2.33 (0.50)
 3 or more16.58 (2.3)10.99 (1.81)3.45 (0.76)2.13 (0.34)
P<.001*<.001*<.001*<.001*
Dosing regimen
 OD20.5 (3.6)13.6 (2.2)4.5 (1.1)2.35 (0.56)
 BD18.2 (2.3)11.7 (1.8)4.1 (0.9)2.36 (0.62)
 TID15.5 (0.52)10.5 (0.52)3 (0.00)2 (0.00)
P<.001*<.001*0.070.71
Comorbidity
 No19.6 (3.4)12.8 (2.6)4.5 (1.1)2.3 (0.6)
 Yes20.2 (3.7)13.6 (2.7)4.3 (0.99)2.3 (0.5)
P0.1530.01*0.1460.23
Cost of medicines borne by
 Self19.9 (3.1)13.1 (2.2)4.4 (1.11)2.4 (0.52)
 Family19.5 (3.2)13.2 (2.7)4.2 (1.3)2.1 (0.42)
 Reimbursed or free19.6 (2.9)12.9 (2.62)4.4 (0.98)2.3 (0.9)
P0.680.590.780.61
Reported health status
 Excellent or good20.2 (3.3)13.4 (2.7)4.5 (1.1)2.4 (0.64)
 Not good and nor bad19.8 (3.4)12.9 (2.5)4.6 (0.99)2.33 (0.54)
 Poor or very bad18.8 (3.5)12.4 (2.7)4.1 (1.1)2.27 (0.45)
P0.005*0.012*0.015*0.314

Data are represented as mean±SD. *Significant results. Mann-Whitney test and Kruskal-Wallis test

Correlation of qualitative variables with score on CHBPTS Data are represented as mean±SD. *Significant results. Mann-Whitney test and Kruskal-Wallis test

Discussion

Adherence to therapy for high blood pressure is an important factor that determines the degree of BP control. Hill-Bone HBP Compliance to High Blood Pressure Therapy Scale (HB-HBP) is a valid scale for the estimation of adherence to blood pressure control therapy. In the current study, the mean total score was estimated at 19.8 ± 3.12. The score was 13.04 ± 2.05 for medication adherence sub-scale, 4.42 ± 1.1 for reduced sodium intake and 2.34 ± 0.57 for appointment keeping subscale. Total adherences score, as well as subcomponent scores, were suboptimal which would be contributing to suboptimal blood pressure control in the study population as around 50% of subjects had blood pressure above normal at the time of assessment. The adherence scores are comparable to multiple studies done internationally as well as in India.[22232425] There is a need for further studies to identify modifiable factors which contribute to poor adherence so that interventions can be developed for addressing those factors.[26] The age of the subject had a significant negative correlation with the total score, medication adherence and appointment keeping subscore. Poor adherence with increasing age has also been identified in multiple other studies which imply that there is a need for enhanced counselling and using simpler dosing regimens in the elderly.[2527] Salt restriction subscale had no significant correlation with age.[22] Female gender was associated with better adherence scores except for reduced salt intake. Females usually show better acceptance to medical therapies which has been found in multiple other studies.[28] Females also had lower average systolic and diastolic blood pressures. SBP and DBP at assessment had a significant negative correlation with total and all sub-component scores. Better adherence leading to lower blood pressure readings has a plausible explanation and attaining lower blood pressure is a primary target of blood pressure therapy. In retrospect higher blood pressure readings during routine OPD visits should alert the treating physician towards adherence issues and try to improve adherence first before switching or adding medications.[1429] BMI of subjects did not have any significant correlation with adherence scores. Subjects who had been prescribed only one antihypertensive had significantly better adherence than subjects on multiple drugs as they had better total and all subcomponent scores. This could be explained by less adverse effects and its simplicity of intake and the same has been found in multiple other studies.[2830] Dosing regimen also had an impact on adherence with once-daily dosing associated with better adherence. This study adds to the body of evidence that monotherapy with a once-daily dosing regimen will improve adherence and at the same time reduce adverse events which will further contribute to better adherence.[31] There is a tendency among doctors to increase medications or dosing when a patient on antihypertensives is found to have suboptimal control. The treating physician should first rule out poor adherence before increasing the dose or its frequency. Increasing the number of medications or their frequency can get counterproductive as it may further decrease adherence so there is a need to incorporate assessment of adherence in routine clinical care to identify the reason for suboptimal blood pressure control. Residing in a rural area and belonging to upper socioeconomic strata were significantly related with the higher total score, higher medication adherence score and higher appointment keeping score.[25] Poor adherence in lower socio-economic status can be due to lower purchasing power and less access to regular medical care and counselling. It is supported by multiple studies conducted previously in India and other parts of the world.[31] Adherence to antihypertensive drugs has been assessed before in multiple parts of the world but this is one of the first studies conducted on this important topic in this part of the world. The study emphasizes that adherence to antihypertensive drugs is suboptimal among diagnosed patients. Certain sections of the population like the elderly and lower-income groups have an even higher degree of poor adherence. Poor adherence among already diagnosed patients and high levels of undiagnosed hypertensives can lead to an epidemic of cardiovascular and cerebrovascular diseases in near future. The primary care providers are supposed to have more time for counselling patients than their counterparts at the tertiary care level so poor adherence at this level is more worrisome.

Strengths and limitations

The strengths of the study lies in the fact that it is one of the first studies conducted at primary care level in this geographical area. The compliance was assessed using validated. The primary limitation of this study is that the authors cannot rule out recall bias from participants and overreporting of compliance from the participants.

Conclusion

This study estimated adherence to blood pressure therapy and it’s determinants in routine OPD patients. The overall adherence to medications, salt restriction and the regular appointment was suboptimal and it was particularly low in elderly subjects, urban area residents, subjects with low socio-economic class, subjects prescribed multiple medications with multiple dosing. There is a need to pay more attention and devote more resources towards interventions for improving adherence. Special attention needs to be provided to elderly poor and those on multiple drugs. Drug adherence assessment needs to be an integral component of routine care.

Author contributions

All authors contributed to data collection, analysis, drafting and revising the article, and gave final approval of the version to be published.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent forms. In the form the patient(s) has/have given his/her/their consent for his/her/their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
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9.  Determinants of medication adherence to antihypertensive medications among a Chinese population using Morisky Medication Adherence Scale.

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