Abstract
Background
Poor adherence is an obstacle in therapeutic control of diabetes. Despite the advances in the treatment of diabetes mellitus over the years, diabetes places an immense burden on the individuals living with the condition, their families and the overall health care system.
Objective
Evaluation of the impact of medication adherence on the clinical outcomes of type 2 diabetes patients at Alimosho general hospital, Igando Lagos state.
Method
The medication adherence study was both descriptive (retrospective) and prospective. The retrospective study assessed the prevalence of medication non-adherence leading to poor glycemic control. This involved the review of case notes of one-hundred and fifty two randomly selected patients. Prospective study was done by counselling and educating the patients on medication adherence and assessing their medication adherence and the impact of medication adherence on glycemic control.
Results
The proportions of females/males with type 2 DM was found to be 69% and 31% respectively. 51.32% of these patients viewed their medications to be unaffordable. 56.6% of the patient population were 61 years and above in age. There was a significant relationship between patient age, gender and adherence to medication. There was however no significant P ≥ 0.05 association between educational level and adherence. Health education and counselling resulted in adherence rate and clinical parameters improvements.
Conclusion
Non-adherence is a major factor that could lead to morbidity and mortality in diabetic patients. The overall improvement in adherence rate of 86.8% was observed with a decline in non- adherence rate after interventions.
Keywords: Diabetes type 2, adherence, glycemic level, health education and counselling
Introduction
The incidence and prevalence of diabetes mellitus (DM) have continued to increase globally, despite a great deal of research, with the resulting burden resting more heavily on tropical, developing countries1–2. Type 2 DM, which is the more common of two basic types of DM, is increasingly being recognized in relatively young persons, due to the high prevalence of environmental and genetic risk factors2.
People living with type 2 DM are more vulnerable to varied forms of both short and long-term complications, which often lead to their premature death. This vulnerability to increased morbidity and mortality is seen in patients with type 2 DM because of the commonness of this type of DM, its insidious onset and late recognition, especially in resource-poor developing countries like Nigeria3–4.
It is predicted that prevalence of DM in adults will increase in the next two decades and much of the increase will occur in developing countries where the majority of patients are aged between 45 and 645–6.
With the current trend of transition from communicable to non-communicable diseases, it is projected that the latter will equal or even exceed the former in developing nations, thus culminating in double burden7–8. Type 2 DM is the most prevalent form of diabetes mellitus and accounts for about 90% of cases of diabetes9. The WHO 2004 report estimates that 1.7 million people in Nigeria have diabetes, with the projection that the number will triple by 20309.
Although hyperglycaemia often presents with few outward symptoms, tight control of blood glucose is needed to prevent many of the short- and long-term complications of type 2 diabetes. A Blood glucose control goal requires active patient participation in order to master a complex array of self-management skills. These include modifying dietary choices, implementing exercise regimes, monitoring blood glucose, and adhering to often complex medication regimens10–11. “Adherence means the extent to which a person's behaviour taking medication and/or executing lifestyle changes, corresponds with agreed recommendations from a health care provider”12.
One way in which patients will be better able to manage their illnesses is by adhering to their medication regimens. Many patients, especially patients with a chronic illness, experience difficulties in following treatment recommendations. Adherence to long-term therapy for chronic illnesses averages only 50%12. As a result of poor adherence, patients do not receive optimal benefit from their drug therapy. Suboptimal treatment can lead to increased use of health care services (acute care and hospitalizations), reduction in patient's quality of life, and increased health care costs (drug costs and medical costs)12–14. The reports of World Health Organization have emphasized that “increasing the effectiveness of adherence interventions may have a far greater impact on the health of the population than any improvement in specific medical treatments”12.
In view of the above, this study intends to evaluate the impact of medication adherence on the clinical outcomes of type 2 diabetes patients at Alimosho general hospital, Igando Lagos State.
Methodology
Study area
The study was carried out in Alimosho general hospital, Igando, Lagos, Nigeria, a 101 bed secondary public health care facility with average hospital attendance at the medical clinic of 240 diabetic patients per month. Government has a free drug policy for patients aged 60 years and above for some drugs and patients are expected to purchase any additional drugs outside the free drug scheme.
Study Design
The study was approved by the hospital research/ethics committee and patients' consents were appropriately sought. The medication adherence study was both descriptive (retrospective) and prospective. The retrospective study assessed the prevalence of medication non-adherence leading to poor glycemic control. This involved the review of case notes of one-hundred and fifty two randomly selected patients that satisfied the inclusion criteria and with high probability of being available for follow up during the prospective study. The retrospective study specifically assessed the fasting blood sugar with at least three consecutive visits to the medical outpatient clinic between January and July 2012 and to find out whether or not their glucose level was on target - (i.e. fasting glucose of less than 7.0 mmol/L or 126 mg/dL) and the presence or absence of complications. Prospective study was done by counselling and educating the selected patients on medication adherence and subsequently assessing the impact of medication adherence on glycemic control.
Parameters assessed at baseline and at end of intervention include: age, gender, presence or absence of co-morbid conditions by objective investigation (such as hypertension, CHF, and dyslipidaemia), fasting blood glucose at first visit, fasting blood glucose after three consecutive visits between two and six weeks interval, level of adherence to therapy and patients knowledge about diabetes.
Inclusion criteria
Patients 18 years and above diagnosed with Type 2 Diabetes
Presence of co-morbid conditions like Hypertension, CHF, and dyslipidaemia
Exclusion criteria
Patients with Type 1 Diabetes
Patients visiting the health facility for the first time.
Patients already having cardiovascular complications.
Patients who could not communicate well with interviewer.
Data analysis
Data generated was analyzed using SPSS 17.0 software. Descriptive statistics were used to analyze the primary outcome and baseline clinical values, means and standard deviation for the continuous clinical and demographic data.
Results
Tables 1 and 2 were adapted from literature15–17. The tables contained values for the diagnosis and assessing the risks associated with diabetes.
Table 1.
Blood pressure below 130/80 mm Hg |
Low-density lipoprotein cholesterol below 100 mg/dl (2.6 mmol/liter) |
Triglycerides below 150 mg/dl (1.7 mmol/liter) |
High-density lipoprotein cholesterol above 40 mg/dl (1.1 mmol/liter) |
Glycosylated hemoglobin below 7 percent |
Table 2.
Condition | 2-hour glucose | Fasting glucose | HbA1c |
mmol/l(mg/dl) | mmol/l(mg/dl) | % | |
Normal | <7.8 (<140) | <6.1 (<110) | <6.0 |
Impaired fasting glycaemia | <7.8 (<140) | ≥ 6.1(≥110) &<7.0(<126) | 6.0–6.4 |
Impaired glucose tolerance | ≥7.8 (≥140) | <7.0 (<126) | 6.0–6.4 |
Diabetes mellitus | ≥11.1 (≥200) | ≥7.0 (≥126) | ≥6.5 |
The analysis of one hundred and fifty two (152) case records of patients reviewed revealed that females were found to make up sixty nine percent (69%) of the total number of patients. Patients diagnosed with Type 2 diabetes mellitus only were found to make up twenty- six percent (26%), with the remaining patient population having co- morbid conditions. At baseline assessment, four percent (4%) of the patients had micro- vascular complications due to poor glycemic control which was linked to non-adherence to medications. Eleven percent (11%) of the patients studied were found to have defaulted with their follow-up appointments. Only eleven percent (11%) of these patients had their glycemic control on target at baseline assessment (Table 3).
Table 3.
Characteristics | Frequency (n) | Percentage (%) |
Patients Characteristics | ||
No of type 2 diabetes mellitus female patients | 105 | 69 |
No of type 2 diabetes mellitus male patients | 47 | 31 |
Patients having type 2 diabetes mellitus only (male & female) | 39 | 26 |
Patients having type 2 diabetes mellitus plus other co-morbid conditions |
111 | 74 |
No of patient having Micro vascular complication due to poor glycemic control |
6 | 4 |
Good Glycemic Control | ||
Type 2 Diabetes Only | 6 | 4 |
Type 2 Diabetes plus other Co-morbid Condition | 11 | 7 |
The age distribution of the 152 Type 2 diabetes patients interviewed was evaluated. Majority (45.4%) of the patients were found to be between the ages of 61 and 70 years with 72.4% of the patients being females. It was also observed that most (72.4%) of the patients were married. 36.2% of the patients had no formal education, 37.5% had primary education, 11.8% secondary education and 14.5% post-secondary education (Table 4).
Table 4.
Characteristics: Age (years) and Sex | Frequency (n) | Percentage (%) |
31 – 40 | 2 | 1.3 |
41 – 50 | 23 | 15.1 |
51 – 60 | 41 | 27.0 |
61 – 70 | 69 | 45.4 |
>70 | 17 | 11.2 |
Male | 42 | 27.6 |
Female | 110 | 72.4 |
Educational Level | ||
No formal education | 55 | 36.2 |
Primary | 57 | 37.5 |
Secondary | 18 | 11.8 |
Post Secondary education | 22 | 14.5 |
Marital Status | ||
Single | 7 | 4.6 |
Married | 110 | 72.4 |
Separated | 4 | 2.6 |
Divorced | 2 | 1.3 |
Widowed | 29 | 19.1 |
97 respondents (63.8%) believed type 2 diabetes can be controlled using drugs and life style modification. 30 respondents (19.7%) believed type 2 diabetes can be cured permanently. 3 respondents (2.0%) believed they can personally control their blood glucose level without using drugs while 22 respondents (14.5%) had no idea about the disease.
Significant proportions (51.32%) were of the opinion that type 2 diabetes management was not affordable. This was followed by 28.29 % who viewed type 2 diabetes as moderately affordable, 17.76 % were of the view that type 2 diabetes was affordable (Table 5).
Table 5.
Patients view: | Male n ( % ) | Female n (% ) | Total n ( % ) |
Affordable | 10 (6.58) | 17 (11.18) | 27 (17.76) |
Moderately Affordable | 8 ( 5.26 ) | 35( 23.03) | 43( 28.29) |
Not Affordable | 23 (15.13) | 55 ( 36.19) | 78( 51.32 ) |
Do not know | 1 (0.66) | ( 1.97 ) | 4(2.63) |
Total n( % ) | 42 (27.63 ) | 110 (72.37) | 152 ( 100 ) |
Fifty-two of the respondents (34.2%) knew all the antidiabetic drugs they are taking by name, 64 of the respondents (42.1%) knew only a few drugs they are taking by name, 23 of the respondents (15.1%) knew most but not all the drugs by name, 10 of the respondents (6.6%) knew some of the drugs by name while 3 respondents (2.0%) did not know the name of the diabetic drugs they were taking.
Results on Table 6 showed that 105 respondents (69.0%) could only buy their drugs in bits due to high cost of medication while 47 respondents (31.0 %) could afford to buy all their drugs at once. Of the respondents that buy their drugs in bit, 53 respondents (50.5 %) don't wait for the drugs to get finished, 19 respondents (18.1 %) stay without drugs between 1– 3 days before refilling, and 33 respondents (31.4 %) stay without drugs between 4 – 7 days before refilling.
Table 6.
Characteristics | Frequency (n) | Percentage (%) |
Drug Purchase Methods | ||
At once | 47 | 30.9 |
In Refills | 105 | 69.1 |
Number of Days of Out of Stock |
||
0 day | 53 | 50.05 |
1 – 3 days | 19 | 18.1 |
4 – 7 days | ||
No of medication per prescription | ||
No Response | 3 | 2.0 |
2 | 23 | 15.1 |
3 | 72 | 47.4 |
4 | 33 | 21.7 |
5 | 21 | 13.8 |
Twenty-three respondents (15.1%) take two medications per day, 72 respondents (47.4%) take three medications per day, 33 respondents (21.7%) take four medications per day, 21 respondents (13.8 %) take five medications per day, and while 3 respondents (2.0 %) could not state the number of medication they take per day. Furthermore, 78 respondents (51.3 %) had never used herbal medicine to treat their ailment alongside their medications, 53 respondents (34.9 %) agreed that they treat diabetes occasionally with herbal remedies, while 21 respondents (13.8 %) agreed they always treat their ailment with herbal remedies and their medication concurrently. 17 respondents (11.2%) are reminded of taking their medication by family members, 9 respondents (6.0%) set alarms to remind themselves of their drugs, 78 respondents (51.3%) are reminded of taking their medication by putting it in a conspicuous place, 37 respondents (24.3%) use their drugs the same time of the day, and 11 (7.2%) are reminded by other undisclosed ways.
Two respondents (0.9 %) measured their blood glucose daily, 29 respondents (19.1%) measured it weekly, 69 respondents (45.4 %) measured it monthly, 7 respondents (4.6 %) measured at no regular interval and 45 respondents (29.6 %) had no response.
Table 7 showed that after intervention only 22% of patients had plasma glucose above 7 mmol/L as against 59% before intervention, 7% had blood pressure above 130/80 mm/Hg as against 44 % before intervention, 9% had LDL above 100 mg/dl against 13 % before intervention, while 9% had total cholesterol above 130 mg/dl as against 25 % before intervention.
Table 7.
Base Line Characteristics | Frequency (n) | Percentage (%) |
Fasting plasma Glucose >7mmol/L or 126mg/dl | 89 | 59 |
Blood Pressure > 130/80 mmHg | 67 | 44 |
LDL > 100mg/dL | 36 | 24 |
HDL < 40mg/dl | 19 | 13 |
Total cholesterol > 130mg/dl | 38 | 25 |
Characteristics After Education & Counselling | ||
Fasting plasma glucose ≥ 7mmol/L or 126 mg/dl | 34 | 22 |
Blood pressure >130/80mmHg | 11 | 7 |
LDL > 100mg/dL | 14 | 9 |
HDL < 40mg/dl | 5 | 3 |
Total cholesterol > 130mg/dl | 14 | 9 |
Table 8 results showed a significant P ≤ 0.05 association between age, gender and adherence. However, there is no significant P ≤ 0.05 association between educational level and adherence.
Table 8.
Age (Years) | Adherence N (%) |
Non -Adherence N (%) |
Total N (%) |
31 – 40 | 0 (.0%) | 2 (100%) | 2 (100%) |
41 – 50 | 18 (78.3%) | 5(21.7%) | 23 (100%) |
51 – 60 | 37 (90.2%) | 4 (9.8%) | 41 (100%) |
61 – 70 | 62(89.9%) | 7(10.1%) | 69(100%) |
>70 | 15(88.2%) | 2(11.8%) | 17(100%) |
Total | 132 (86.8%) | 20 (13.2%) | 152 (100%) |
Gender (Years) | |||
Male | 35 (83.3%) | 7 (16.7%) | 42 (100%) |
Female | 97 (88.2%) | 13 (11.8%) | 110 (100%) |
Total | 132 (88.6%) | 20 (13.2%) | 152 (100%) |
P ≤ 0.05
Discussion
The debilitating effects that usually occur from clinical complications of diabetes mellitus in affected patients make it imperative for clinicians and other healthcare professionals to ensure adequate glycemic control in a bid to reduce or prevent associated morbidity and mortality. Uncontrolled hyperglycemia, which is the clinical manifestation of diabetes, usually results in micro- and macro- vascular complications such as retinopathy, nephropathy, neuropathy and associated cardiovascular diseases. One factor that contributes to achieving good glycemic control is treatment with anti-diabetic medications as well as strict medication adherence.
The present study has shown that majority of the patients visiting the clinic with cases of type 2 Diabetes Mellitus were females. Only 26 % of these patients were diagnosed with diabetes mellitus only, others had co- morbid conditions. According to the data collected 11 % of these patients were found to have poor follow up visits in the clinic and analysis revealed significant (P ≤ 0.05) correlation between sex and adherence to medication.
The cost of medication has been found to be a militating factor affecting patients' adherence to their medications. According to a study carried out by Mojtabai & Olfson18, 7% of patients were unable to adhere to their prescription medications due to cost. The result obtained from our study revealed that more than half of the patients (51.32 %) viewed their drugs as being unaffordable with the majority of them being women. Women within the locality of this study are largely unemployed with most of them engaging in petty trade. There is therefore the possibility of non- adherence to medications since these patients cannot afford most of their medications. Also, the vast majority (69.0 %) of patients visiting the clinics stated that they buy their drugs in bits due to high cost. This, however, could warrant missed doses when the medications are not obtained early enough. There is also the possibility of sub-optimal drug therapy as a result of brand differences since the medications could be obtained from differing sources with unguaranteed bioequivalence.
About 85.5 % of the patients have no education beyond secondary school. This indicates a low level of literacy in the studied population. Also, for a country like Nigeria, the possibility of obtaining employment that will ensure substantial income with such qualifications is low. The implication of the lower income is the probable inability to sustain the cost of medications for a chronic ailment like type 2 diabetes mellitus. However, besides the possible implication on affordability, there was no significant (P ≥ 0.05) relationship between educational level and adherence.
A high proportion (56.6 %) of patients in this study were 61 years and above. These groups of patients are classified as the senior class citizens or the elderly. According to earlier studies19–20 in the elderly, the frequency of the elderly being admitted for non- adherence to their prescribed medications is about 19 –45% which was found to be higher than the figure obtained in the younger population. The results of this study showed a significant (P ≤ 0.05) relationship between ages of patients and their adherence to medication. The disparity found can be as a result of the free health scheme for the elderly. This scheme makes it possible for elderly patients to obtain free drugs (even though in limited quantities), which has an overall effect of enhancing medication adherence. It is also important to note that the social support system amongst the families in Nigeria to take full responsibility for routine medications for the elderly is contributory to good medication adherence.
In further assessing the factors that affect glycemic control in these patients, the study discovered that patients who occasionally or always use herbal medication alongside with their anti- diabetic medications were 48.7 %. Herbal medications have been discovered to cause interactions with conventional medications; these interactions can either be beneficial or harmful depending on the agent implicated. A study of Rai et al21 showed that the use of herbal medications and glibenclamide gave differing effect on glycemic control. Some herbal medications were found to have either synergistic effects or antagonistic effects while others had no evidence of efficacy. It is therefore important for patients to confirm with their healthcare providers on the safety of herbal medications before using it with oral hypoglycemic agents.
According to Barclay et al22, dietary modification is required for type 2 diabetes mellitus patients. This includes diet low in saturated fat, sodium and carbohydrate, and high fibre contents. This is because majority of patients with this condition are usually overweight and obese. In agreement with the aforementioned, the studied patients have adequate knowledge of dietary lifestyle modification to ensure proper glycemic control.
After intervention through health education and counselling, the patients' clinical outcomes were found to have improved significantly. The results of the study also revealed an improvement in the adherence rate to 86.8 %. This complies with worldwide data of adherence rate of 36– 93 % in patients with diabetes23.
Conclusion
Non-adherence is a major factor that could lead to increased morbidity and mortality in diabetic patients. Overall improvement in adherence rate of 86.8 % was observed with a decline of non- adherence rate after interventions were made. Strategies to be employed during intervention that will ensure improvement in adherence should be centred on patient related issues, medication related issues, prescriber related issues and pharmacist related factors.
Conflict of Interest
There is no conflict of interest in this research
References
- 1.Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047–1053. doi: 10.2337/diacare.27.5.1047. [DOI] [PubMed] [Google Scholar]
- 2.Lindagren CM, Hirschhorn JN. The genetics of type II DM. Endocrinologist. 2001;11:178–187. [Google Scholar]
- 3.Sen K, Bonita R. Global health status: two steps forward and one step backwards. Lancet. 2000;356:2195. doi: 10.1016/S0140-6736(00)02590-3. [DOI] [PubMed] [Google Scholar]
- 4.Aubeni RE, Herman WH. Global burden of diabetes 1995–2005: prevalence, numerical estimates and projections. Diabetes care. 1998;21:1414–1431. doi: 10.2337/diacare.21.9.1414. [DOI] [PubMed] [Google Scholar]
- 5.Murray CJL, Lopez AD. Alternative projections of mortality and disability by cause 1990–2020. 1997 doi: 10.1016/S0140-6736(96)07492-2. [DOI] [PubMed] [Google Scholar]
- 6.Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(1):4–14. doi: 10.1016/j.diabres.2009.10.007. [DOI] [PubMed] [Google Scholar]
- 7.Yach D, Hawkes C, Gould CL, Hofman KJ. The global burden of chronic disease: overcoming impediments to prevention and control. JAM A. 2004;291:2616–2622. doi: 10.1001/jama.291.21.2616. [DOI] [PubMed] [Google Scholar]
- 8.Magnusson RS. Non- communicable diseases and global health governace: enhancing global processes to improve health development. Globalization and Health. 2007;3:2. doi: 10.1186/1744-8603-3-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.World Health Organization, author. Diabetes action now: an initiative of the World Health Organization and International Diabetes Federation. WHO Publication; 2004. [Google Scholar]
- 10.Rozenfeld Y, Hunt JS, Plauschinat C, Wong KS. Oral antidiabetic medication adherence and glycemic control in managed care. Am J Manag Care. 2008;14:71–75. [PubMed] [Google Scholar]
- 11.Ho PM, Rumsfeld JS, Masoudi FA. Effect of medication nonadherence on hospitalization and mortality among patients with diabetes mellitus. Arch Intern Med. 2006;166:1836–1841. doi: 10.1001/archinte.166.17.1836. [DOI] [PubMed] [Google Scholar]
- 12.World Health Organization, author. Adherence to Longterm Therapies: Evidence for Action. Geneva, Switzerland: World Health Organization; 2003. [Google Scholar]
- 13.Lau DT, Nau DP. Oral antihyperglycemic medication nonadherence and subsequent hospitalization among individuals with type 2 diabetes. Diabetes Care. 2004;27:2149–2153. doi: 10.2337/diacare.27.9.2149. [DOI] [PubMed] [Google Scholar]
- 14.Sokol MC, McGuigan KA, Verbrugge RR, Epstein RS. Impact of medication adherence on hospitalization risk and healthcare cost. Med Care. 2005;43(6):521–530. doi: 10.1097/01.mlr.0000163641.86870.af. [DOI] [PubMed] [Google Scholar]
- 15.World Health Organization, author. Definition, Diagnosis and Classification of Diabetes Mellitus and its Complication. Report of a WHO Consultation. 1999 WHO/NCDNCS/99.2.
- 16.American Diabetes Association, author. Standards of medical care for patients with diabetes Mellitus. Diabetes Care. 2003;26(Suppl 1):S33–S50. doi: 10.2337/diacare.26.2007.s33. [DOI] [PubMed] [Google Scholar]
- 17.Vijan S. “Type 2 diabetes. Annals of internal medicine. 2010;152(5):ITC31-15. doi: 10.7326/0003-4819-152-5-201003020-01003. [DOI] [PubMed] [Google Scholar]
- 18.Mojtabai R, Olfson M. Medication Costs, Adherence and Health Outcomes Among Medicare Beneficiaries. Health Aff. 2003;22(4):220–229. doi: 10.1377/hlthaff.22.4.220. [DOI] [PubMed] [Google Scholar]
- 19.Sackett DL, Snow JC. The magnitude of compliance and non compliance. In: Haynes NRB, Taylor DW, Sackett DL, editors. Compliance in Health Care. Baltimore: John Hopkins University Press; 1979. pp. 11–22. [Google Scholar]
- 20.Dunbar J. Issues in assessment. In: Cohen NSJ, editor. New directions in Patient Compliance. New York: Lexington Books; 1979. pp. 41–57. [Google Scholar]
- 21.Rai A, Eapen C, Prasanth VG. Interaction of herbs and Glibenclamide: a review. ISRN Pharmacol. 2012;2012:659478. doi: 10.5402/2012/659478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Barclay A, Gilbertson H, Marsh K, Smarth C. Dietary Management in diabetes. Australian family physician. 2010;39(8):579–583. [PubMed] [Google Scholar]
- 23.Wabe NT, Angamo MT, Hussein S. Medication adherence in diabetes mellitus and self management practices among type 2 diabetics in Ethiopia. N Am J Med Sci. 2011;3(9):418–423. doi: 10.4297/najms.2011.3418. [DOI] [PMC free article] [PubMed] [Google Scholar]