OUTCOMES OF COMMUNITY PHARMACIST’ CARDIOVASCULAR RISK INTERVENTION AMONG HIGH RISK RURAL DWELLERS
HTML Full TextOUTCOMES OF COMMUNITY PHARMACIST’ CARDIOVASCULAR RISK INTERVENTION AMONG HIGH RISK RURAL DWELLERS
U. D. Adje*1, C. A. Oparah 2, F. E. Williams 3 and E Akpovwovwo 4
Department of Clinical Pharmacy and Pharmacy Administration 1, Delta State University, Abraka, Nigeria.
Department of Clinical Pharmacy and Pharmacy Practice 2, University of Benin, Benin City, Nigeria.
Department of Clinical Pharmacy and Pharmacy Practice 3, University of Ilorin, Ilorin, Nigeria.
Drug Information Services 4, Delta State University Teaching Hospital, Oghara, Nigeria.
ABSTRACT: Community pharmacists are well placed to contribute to reduction of premature deaths from cardiovascular disease by implementing risk assessment and reduction strategies. The objective of this study was to assess outcomes of pharmacist's cardiovascular risk reduction intervention among high risk persons dwelling in a rural community. Cardiovascular risk reduction intervention was carried out among 45 high risk patients using a non-randomized before and after design. Blood pressure, total cholesterol, random blood sugar and BMI were measured. Intervention consisted of leaflet based patient education, referral to physician and provision of prescribed medications at no charge. Data were expressed as mean, standard deviation and 95% confidence interval. Differences between baseline and post intervention values were explored using paired t test. The primary outcome measure was change in cardiovascular risk category between baseline and end of study. The results show that there were significant differences in blood pressures at baseline vs. post-intervention, (184.74 ± 15.78 vs. 138.69 ± 13.57; P ˂ 0.001), and (102.17 ± 15.14 vs. 82.62 ± 9.45, P ˂ 0.001) for systolic and diastolic blood pressures respectively. There were no statistically significant differences in other clinical characteristics. Of the 9 males in high risk category at baseline, all were reclassified as low risk at the end of the study. At baseline 10 females in the high risk category were reclassified as low risk while 19 of the 23 in the very high risk category were reclassified as low risk (82.6%). These findings indicate that pharmacist's interventions lowered cardiovascular risk among high risk rural community dwellers.
Keywords: |
Pharmacist’s intervention, Cardiovascular disease, Community dwellers, Risk assessment, Risk reduction
INTRODUCTION: Cardiovascular disease (CVD) is a major cause of death worldwide. The World Heart Federation projections indicate that by 2030, deaths from heart disease will reach an alarming 28.6 million annually 1-2.
Cardiovascular diseases claim more lives annually than all forms of cancers combined. Disability Adjusted Life Years (DALYs) lost due to cardiovascular disease ranks next only to HIV / AIDS. Mortality from CVD cuts across age, gender and socioeconomic status.
In fact, deaths from cardiovascular diseases among 15-35 age group in the United States of America is estimated to be 10.2 per 100,000 making it the 5th leading cause of death among this age group 3. Also, there is increasing prevalence of risk factors for cardiovascular disease in low income countries and an estimated 80% of deaths from cardiovascular disease are in these countries 4. Risk factor assessment is a critical first step in primary prevention of cardiovascular disease. There is sufficient evidence to prove that controlling risk factors reduces cardiovascular mortality5-8. Reducing cardiovascular risk requires prompt and sustained lifestyle interventions as well as drug therapy following evidence based approach. Access and availability are strong points that justify use of pharmacists in delivering preventive health services including cardiovascular risk assessment. Pharmacists have demonstrated effectiveness in the area of cardiovascular risk interventions at the level of the community pharmacy 9-13, but involvement in population based interventions is quite low. Population based risk assessment involves proactively targeting healthy persons within the population and inviting them for assessment.
Objective: The general objective of this study was to assess outcomes of the pharmacist’s interventions in cardiovascular risk reduction in the community. Specific objectives were to determine difference in blood pressure, blood glucose, and total cholesterol levels between baseline and end of study, and to evaluate pharmacotherapy components of intervention.
Setting: The setting of this study is Ezionum, a rural community in Ukwuani Local Government Area of the oil rich Delta state. Nigeria. The community has a primary health center that caters to their health needs. The general hospital located at Obiaruku, about 3 kilometres from the community serves as a referral centre for more serious cases. The community also serves as a site for Community Based Experience and Services (COBES) program for medical and nursing students of the Delta State University, Abraka. This study is a follow up to a general cardiovascular risk assessment carried out in the community.
MATERIALS AND METHODS:
Design: The study is a non- randomized single site before and after interventional study carried out between August 2015 and April 2016.
Patients / Population Inclusion and Exclusion Criteria: A total of 42 high CV risk category patients identified from a community wide general cardiovascular risk screening exercise using the WHO/ISH risk assessment charts were recruited for the study. All patients who met the inclusion criteria were evaluated. Inclusion criteria were: Adults 40 years to 80 years old and persons at high risk of cardiovascular events i.e. 10 year risk score of > 20 – 40%. Patients under active care of a physician, who were pregnant, below 40 years of age, unwilling to participate in the study or who were unlikely to be available for follow up were excluded from the study.
Data Collection Instruments: The main risk assessment tool was the WHO/ISH risk assessment chart for Africa D epidemiological zone 14. This was a country specific validated tool that makes use of age, gender, systolic blood pressure, smoking status, diabetes status and total non-fasting cholesterol in estimating cardiovascular risk. The point of intersection of systolic blood pressure and total serum cholesterol on the chart is colour coded to determine cardiovascular risk level. Demographic and clinical characteristics as well as risk score and risk category were entered into a data collection form designed for the study. Patients were evaluated after signing an informed consent form.
Intervention: Intervention consisted of leaflet based patient education focusing on risk factors and risk reduction strategies especially healthy lifestyle options. In addition subjects were also given a single page fact sheet relating to their specific risk factor. For subjects that were overweight a height and ideal weight chart was also made available to help them set weight targets. Referral to the physician was a critical component of the intervention. To facilitate the referral process, a cardiovascular risk assessment referral form detailing risk assessment data and reasons for referral was designed. Other measures adopted were: weekly telephone / text message reminders, and regular appointments with patients to review progress and resolve any medication related problems. Prescribed medications were also provided at no charge to indigent subjects for the duration of the study. Intervention period was 6 months.
Outcome Measures: The primary outcome measure was change in cardiovascular risk category between baseline and end of study. Secondary outcome measures were: Difference in levels of measured risk factors between baseline and end of study i.e. blood pressure, blood glucose, heart rate.
Data Analysis: Data were expressed as mean, standard deviation and 95% confidence interval. Differences between baseline and post intervention values were explored using paired t test. Predictors of high risk category were identified by performing multiple linear regression analysis. A p value of 0.05 was regarded as statistically significant.
Ethical Approval: Ethical approval was obtained from the Delta State University Health Research Ethics Committee, Oghara. Approval letter number DELSUTH/HREC/2015/038.
RESULTS:
TABLE 1: DEMOGRAPHIC CHARACTERISTICS OF PATIENTS
Characteristic | No % n = 42 | |||
Sex | Male | 9 | 21.4 | |
Female | 33 | 78.6 | ||
Age (yr.) | 40-50 | 5 | 11.9 | |
51-60 | 15 | 35.7 | ||
61-70 | 9 | 21.4 | ||
>70 | 13 | 31.0 | ||
Tobacco use | No | 39 | 92.9 | |
Yes | 3 | 7.1 | ||
Alcohol intake | Light | 23 | 60.5 | |
Heavy | 8 | 21.1 | ||
I don't drink alcohol | 11 | 18.4 | ||
Physical activities | 0 times a week | 4 | 9.5 | |
Once a week | 3 | 7.2 | ||
2 times a week | 11 | 26.1 | ||
3 times a week | 6 | 14.3 | ||
Every day
No response |
16
2 |
38.1 | ||
4.8 | ||||
Chronic disease
|
Diabetes | 4 | 9.5 | |
High blood pressure | 14 | 33.3 | ||
None | 24 | 57.2 | ||
Demographic and Clinical Characteristics: A total of 45 patients at high risk of cardiovascular disease were recruited for the study. Of these, one patient had stroke before the end of the study and two patients were lost to follow up. Majority of the 42 patients that completed the study (78.6%) were females. The predominant age group was 51 to 60 years 15 (35.7%) followed by those in the above 70 age group 13 (31%). Majority 31 (81.5%) consumed alcohol and more than half 22 (53%) were engaged in moderate physical activity for at least 3 times a week. Only one third 14 (33.3%) correctly identified themselves to be hypertensive while 4 (22.8%) had diabetes. Demographic and clinical characteristics of patients at baseline are presented in Tables 1 and 2.
TABLE 2: CLINICAL CHARACTERISTICS OF PATIENTS AT BASELINE
Characteristic No (%) n = 42 | |
Blood Pressure Systolic | |
140 – 159 | 1 (2.3) |
160 – 169 | 6 (14.3) |
170 – 189 | 18 (42.9) |
≥ 190 | 17 (40.5) |
Diastolic | |
≤ 90 | 9 (21.4) |
91 – 99 | 4(9.5) |
100 – 109 | 17 (40.5) |
110 – 119 | 5 (11.9) |
≥ 120 | 7 (16.7) |
Heart rate (bpm) | |
≤ 90 | 27(64.3) |
91 – 99 | 11(26.2) |
≥ 120 | 4(9.5) |
Total cholesterol (mm /L) | |
1 – 4.9 | 26 (61.9) |
5 – 8.0 | 16 (38.1) |
Fasting blood glucose | |
‹ 7mmol/L | 37(88.1) |
≥ 7mmol/L | 5 (11.9) |
Body Mass Index | |
Less than 18.5 (Underweight) | 2 (4.8) |
18.5 – 25 (Normal) | 18 (42.8) |
˃ 25 – 29.9 (Overweight) | 17 (40.5) |
≥30(Obese) | 5 (11.9) |
Waist Circumference | |
Male | N = 9 |
≤ 102 cm | 5 (55.6) |
˃ 102cm | 4 (44.4) |
Female | N = 33 |
≤88cm | 15 (45.5) |
˃88cm | 18 (54.5) |
The clinical characteristics at end of study and the mean differences in values post intervention are shown in Tables 3 and 4. There were significant differences in systolic and diastolic blood pressures before and after intervention (184.74 ± 15.87 vs. 138 ± 13.57, P < 0.001 and 102.17 ± 15.14 vs. 82.62 ± 9.45 < 0.001) respectively. Though total cholesterol, heart rate, blood sugar levels, and waist circumference did not show significant differences, the upper limits of the 95% confidence interval for these variables showed moderate reductions at post intervention when compared to baseline, Table 5.
TABLE 3: CLINICAL CHARACTERISTICS OF PATIENTS AT END OF STUDY
Characteristic | No (%) n = 42 |
Blood Pressure Systolic | |
˂120 | 1 (2.3) |
120 – 139 | 18 (42.9) |
140 – 159 | 17 (40.50) |
≥ 160 | 6 (21.4) |
Diastolic | |
≤ 80 | 8 (19.1) |
80 – 89 | 19 (45.2) |
90 – 99 | 14 (33.3) |
≥ 100 | 1 (2.4) |
Heart rate (bpm) | |
≤ 90 | 30 (71.4) |
91 – 99 | 11 (26.3) |
≥ 120 | 1 (2.3) |
Total cholesterol (mm /L) | |
1 – 4.9 | 34(81.0) |
5 – 8.0 | 8 (19.0) |
Fasting blood glucose | |
‹ 7mmol/L | 28 (66.7) |
≥ 7mmol/L | 14 (33.3) |
Body Mass Index | |
Less than 18.5 (Underweight) | 1 (2.4) |
18.5 – 25 (Normal) | 18 (42.8) |
˃ 25 – 29.9 (Overweight) | 16 (38.1) |
≥30(Obese) | 7 (16.7) |
Waist Circumference | |
Male | N = 9 |
≤ 102 cm | 8 (88.9) |
˃ 102cm | 1(1.1) |
Female | N = 33 |
≤88cm | 17 (51.5) |
˃88cm | 16 (48.5) |
TABLE 4: CLINICAL CHARACTERISTICS AT BASELINE AND POST INTERVENTION
Clinical characteristics
|
Pre intervention
mmHg n = 42 Mean (SD) |
Post intervention
mmHg n = 42 Mean (SD) |
T | P value |
Systolic blood pressure | 184.74± 15.87 | 138.69±13.57 | 15.848 | ˂0.001 |
Diastolic blood pressure | 102.17± 15.14 | 82.61± 9.45 | 8.768 | ˂0.001 |
Total Cholesterol | 4.45±0.97 | 4.40± 0.49 | 0.424 | 0.674 |
Heart rate | 85.05± 12.94 | 83.74 ±9.95 | 1.431 | 0.160 |
Body Mass Index | 25.76 ±4.77 | 25.99± 4.01 | -0.617 | 0.515 |
Fasting blood sugar | 6.00 ±2.26 | 7.16 ±2.17 | -3.461 | 0.001 |
Waist Circumference | 91.33 ±14.31 | 91.40±12.34 | -102 | 0.919 |
TABLE 5: CLINICAL CHARACTERISTICS AT BASELINE AND POST
Clinical characteristic | Mean (95% CI) | |||
Male | Female | |||
Baseline | Post intervention | Baseline | Post intervention | |
Systolic blood pressure | 178 (162.0-193.5) | 140 (127.36-152.63) | 187.56 (182-192.83) | 139.21 (134.59-143.84) |
Diastolic blood pressure | 98.87 (77.34-120.41) | 83.18 (77.23-89.01) | 99.11 (99.1-107.76) | 82.96 (79.33-86.60) |
Total cholesterol | 4.83 (3.67-5.97) | 4.6 (4.60-4.70) | 4.36 (4.05-4.66) | 4.35 (4.17-4.53) |
Heart rate | 91.5 (78.16-104.83) | 88 (88.04-95.95) | 84.21 (79.92-88.51) | 83.15 (79.53-86.78) |
Body Mass Index | 27.7 (23.03-32.49) | 27.35 (22.88-31.79) | 25.08 (23.44-26.73) | 25.61 (24.29-26.93) |
Fasting blood glucose | 8.1 (4.4-11.76) | 7.77 (6.35-7.84) | 5.54 (5.17-5.90) | 7.10 (6.35-7.84) |
waist circumference | 97.75 (83.50-112) | 90.06 (85.11-95.02) | 97.5 (85.58-109.41) | 89.93 (85.70-94.12) |
Intervention Stratified by Gender: All males enrolled in the study had favourable risk category changes while 9.5% of females were at high risk at the end of the study despite intervention, Table 6.
TABLE 6: RISK CATEGORY AT THE END OF STUDY
Risk category |
Male | Female | ||
Baseline
n (%) |
Post intervention
N (%) |
Baseline
n (%) |
Post Intervention
n (%) |
|
Very high | 0(0) | 0(0) | 23(54.76) | 0(0) |
High | 9 (21.5) | 0(0) | 10(23) | 4(9.5) |
Low | 0(0) | 9 (21.5) | 0(0) | 29(69) |
Pharmacotherapy Component: All the subjects were on prescribed medications at the end of the study. Majority were on 2 or 3 drug combination therapy for hypertension at the end of study. There were more patients on ACEI followed by potassium sparing low dose diuretic and methyl dopa. Low dose aspirin was the sole anti-platelet agent which was prescribed for more than a quarter of the patients. All medications provided were generic brands and monthly cost of drug therapy ranged from N280 ($ 0.7) to N2360 ($ 5.9), Table 7 and 8.
TABLE 7: SUMMARY OF PRESCRIBED MEDICATIONS AT THE END OF STUDY
Drug | No of patients
n (%) |
No of tablets
per dose |
No of tablets per day | Cost per tab
Naira |
Cost of daily dose Naira |
Methyl dopa | 18(42,86) | 1 | 3 | 20.00 | 60.00 |
Amlodipine 10 mg | 16(38.10) | 1 | 1 | 14.29 | 14.29 |
Lisinopril 10 mg | 22(52.38) | 1 | 1 | 14.29 | 14.29 |
Nifedipine 20 mg | 5(11.90) | 1 | 2 | 15 | 30.000 |
Atenolol 50mg | 1(2.40) | 1 | 2 | 15 | 30.00 |
Co Amiloride | 19(45.20) | 1 | 1 | 10 | 10.00 |
Valsartan | 1(2.40) | 1 | 1 | ||
Hydrochlorothiazide | 6(14.30) | 1 | 1 | 10 | 10.00 |
Low dose aspirin | 11(26.20) | 1 | 1 | 4 | 4 |
Drug combinations | |||||
4 drugs | 1(2.4)
24(57.20) 8(19.0) 1(2.4) |
||||
3 drugs | |||||
2 drug s | |||||
Monotherapy |
TABLE 8: COST OF DRUG THERAPY FOR PATIENTS AT END OF STUDY
Drug combination | Cost per week / patient N* | Cost per month / patient N* |
Amlodipine/ lisinopril / co amiloride | 270 | 1080 |
Methyldopa, Lisinopril, Amlodipine / Co amiloride | 590 | 2360 |
Atenolol/ Lisinopril / Amlodipine | 410 | 1640 |
Nifedipine/ Lisinopril / Co amiloride | 380 | 1520 |
Co- amiloride | 70 | 280 |
*N= Naira, 1 US $ = N400.00
DISCUSSION: The gender, alcohol consumption, tobacco use and physical activity pattern of high risk community dwellers was similar to that of the source population. The predominance of the 51-60 years age group followed by the above 70 age group can be explained by the fact that blood pressure rises with increasing age 15 and that risk charts employed for this study classifies most persons above 70 years as in the high risk category.
Clinical Characteristics of Subjects: The clinical characteristics evaluated were systolic and diastolic blood pressures, total non- fasting cholesterol, heart rate, body mass index, random blood sugar, waist circumference and cardiovascular risk category. Of these, only systolic and diastolic blood pressures showed significant reductions at the end of study. There was a significant reduction in mean fasting blood sugar level although this was not clinically significant as both values were within normal limits. Overall, other clinical variables did not show any significant differences between baseline and end of study. This profile suggests that the main determinants of cardiovascular risk in this community were age and blood pressure levels. Systolic blood pressure has been shown to be significantly associated with high risk category in both males and females in the general population 16-17 and in the elderly 18. Future interventions in this community should therefore focus more on blood pressure control.
Although there were subjects with high values of all the other variables measured both at the baseline and end of study, the proportion was small and did not contribute significantly to the overall mean. The fact that there were appreciable differences in the upper limits of the 95% confidence intervals for total cholesterol, heart rate and waist circumference at end of study compared to baseline may suggest that extending the duration of intervention might have produced statistically significant differences.
All the subjects received their prescribed medications at the end of the study. Majority were on 2 or 3 drug combination therapy for hypertension at the end of study. For patients at high risk of cardiovascular events, combination therapy with at least 3 drugs has been shown to effectively reduce blood pressure and ensure positive cardiovascular outcomes 19 - 20.
CONCLUSION: Pharmacist’s intervention resulted in significant improvements in some clinical characteristics and lowered cardiovascular risk among rural community dwellers. This might suggest that community pharmacists could play a more significant role in cardiovascular risk reduction. The limitations of this study include the fact that the WHO / ISH risk assessment charts may underestimate risk in specified population groups including very obese patients, elderly female population and persons already on antihypertensive medications. Also a longer duration of intervention might have impacted better on measured clinical characteristics.
AKNOWLEDGEMENT: The authors are grateful the Nigerian government Tertiary Education Trust Fund (TETFUND) grant for supporting this work.
CONFLICT OF INTEREST: The authors confirm that there is no conflict of interest associated with this work.
REFERENCES:
- World Heart Federation (WHF): Tobacco Totally avoidable risk factor of cardiovascular disease 2014.
- Mozaffarian D, Benjamin EJ, Go AS, Amett KD, Blaha MJ, Cushman M, De feranti S et al.: Heart disease and stroke statistics, 2016.
- Murphy SL, Jiaquan XU, Kenneth D and Kuchanek DK: National Vital statistics report: Deaths: Final data for 2010.
- World Health Organization (WHO): Cardiovascular disease fact sheet 2011.
- Wong ND, Patao C, Malik S and Ileoje U: Preventable cardiovascular events from control of cardiovascular disease risk factors in US adults with diabetes (projections for utilizing the UJPDS Risk Engine) Am. J. Cardiol 2014; 113: 1356-1361.
- Ettahad D, Emdin CA, Kiran A, Anderson S G, Callender T and Emberson J: Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis. Lancet 2016; 387(100222): 957-967.
- Mannsverk J, Wilsgaard T, Mathiesen EB, et al.: Trends in modifiable risk factors are associated with declining incidence of hospitalized and non-hospitalized acute coronary heart disease in a population. Circulation 2016; 133: 74–
- World Health Organization (WHO): WHO CVD risk management package for low and medium resource settings. Geneva, World Health Organization 2002.
- Arief M, Harika B, Nilugal K and Syed IA: Clinical Pharmacist Interventions in Managing Cardiovascular Risk Factors Int. J. Pharm. Sci. Rev. Res. 2015; 35(12): 63 66.
- Willis A, Rivers P, Gray LJ, Davies M and Khunti K: The Effectiveness of Screening for Diabetes and Cardiovascular Disease Risk Factors in a Community Pharmacy Setting. PLoS ONE 2014; 9(4): e91157.
- Wong ND, Zhao Y, Patel R, Patao C, Malik S, Bertoni AG and Selvin E: Cardiovascular risk factor targets and cardiovascular disease event risk in diabetes: a pooling project of the atherosclerosis and Jackson heart study. Diabetes care 2016; 39(5): 668-676.
- Chiazor IE, Evans M, Van Woerden H and Oparah AC: A Systematic Review of community pharmacist’ interventions in reducing major risk factors for cardiovascular Disease. Value in Health Reg. Issues 2015; 7C: 9-21.
- Santchi V, Chiolero A, Burnand B and Colosimo AL: Pharmacist intervention to improve cardiovascular risk factors in diabetes - a systematic review and meta-analysis of randomized controlled trials. Diabetes Care 2012; 35(12): 2706-2717.
- World Health Organization (WHO): Prevention of Cardiovascular disease - guidelines for assessment and management of cardiovascular risk 2007.
- Dreisbach AW and Batuman V: Epidemiology of hypertension.
- Rodriguez CJ, Swett K, Agarwal SK, Folsom AR, Fox ER, Loehr NH et al.: Systolic blood pressure among adults with hypertension and incident cardiovascular events: the Atherosclerosis Risk in Communities Study. JAMA Intern. Med 2014; 174(8): 1252-1261.
- Aronow WS: Systolic blood pressure levels associated with Cardiovascular Events and All-cause mortality: Results of the REGARDS Study. Cardiol. Pharmacol. 2014; 3: e126.
- Butler J, Kalogeropoulos AP, Georgeiopoulou VV, Bibbins-Domingo K, Najjar SS, Sutton-Tyrrel KC et al.: Systolic blood pressure and incident heart failure in the elderly. The Cardiovascular Health Study and the Health, Aging, and Body composition Study, Heart 2011; 97(16): 1304-1311.
- Law MR, Wald NJ, Morris JK and Jordan RE: Value of low dose combination treatment with blood pressure lowering drugs: analysis of 354 randomized trials. BMJ 2003; 326: 1427.
- Wald NJ and Law MR: A strategy to reduce cardiovascular disease by more than 80%. BMJ 2003; 326: 1419.
How to cite this article:
Adje UD, Oparah CA, Williams FE and Akpovwovwo E: Outcomes of community pharmacist’ cardiovascular risk intervention among high risk rural dwellers. Int J Pharm Sci Res 2017; 8(12): 5353-59.doi: 10.13040/IJPSR.0975-8232.8(12).5353-59.
All © 2013 are reserved by International Journal of Pharmaceutical Sciences and Research. This Journal licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Article Information
53
5353-5359
499
1168
English
IJPSR
U. D. Adje*, C. A. Oparah, F. E. Williams and E. Akpovwovwo
Department of Clinical Pharmacy and Pharmacy Administration, Delta State University, Abraka, Nigeria.
a_udave77@yahoo.com
17 April, 2017
12 June, 2017
29 June, 2017
10.13040/IJPSR.0975-8232.8(12).5353-59
01 December, 2017