review article

Oman Medical Journal [2023], Vol. 38, No. 4: e523 

Factors Affecting Adherence to Lipid-lowering Drugs: A Scoping Review

Abdul Hadi Said*, Ikhlas Solehah Abd Rahim, Nur Najihah Binti Mohamad Zaini and Nureena Imani Binti Saiful Nizam

Department of Family Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Selangor, Malaysia

article info

Abstract

Objectives: Dyslipidemia is an important risk factor for cardiovascular disease. In developed countries, only 50% of patients with chronic illness adhere to their long-term therapy. This article aimed to review the factors affecting adherence to lipid-lowering drugs (LLDs). Methods: The searched articles were selected based on the available keywords in the title and abstract with the publication restricted between January 2010 and September 2020. Articles generated from the databases must fulfill both inclusion and exclusion criteria in the present systematic review. Our initial search retrieved 221 literature reviews. After excluding articles with irrelevant topics, a total of 23 articles were chosen for this current review. Results: The factors were classified based on three main factors: patient-related, medication-related, and healthcare workers-related factors. For patient-related factors, gender, age, number of family members, education level, post-hospitalization, comorbidities and cardiovascular disease risk, follow-up status, occupation, socio-economy, insurance, perception, ethnicity, and health plan were among the factors affecting adherence to LLDs. As for medication-related factors, timing, polypharmacy, duration of treatment, generic medication, intensity of medication, side effects, initiating dose, packaging, drug dosing, and type of drugs were revealed as contributing factors. In the light of healthcare workers, related factors shown were counseling, medication optimization, type of provider, and location of the hospital. Conclusions: Recommendations to improve adherence include educating patients on the disease itself and the importance of the treatment, modification of the dosing, timing and type of LLDs, and effective consultations by healthcare workers. Further studies need to be done in Malaysia as there is inadequate research on this topic.

Dyslipidemia is an important risk factor for cardiovascular disease (CVD). Reducing serum cholesterol (particularly the low-density lipoprotein cholesterol (LDL-C)) will reduce CVD risk.1 The Malaysian National Health and Morbidity Survey 2019 illustrated that in every 10 people, four have raised serum cholesterol. However, in every four people in Malaysia, one did not know they had increased serum cholesterol.2

In the treatment of dyslipidemia, the main target is to lower LDL-C levels. Prescribing lipid-lowering medication is beneficial, especially for those with high CVD risks. Lipid-lowering drugs (LLDs), which have been proven to be effective for the prevention of CVD includes 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors, fibrates, proprotein convertase subtilisin/kexin type 9 inhibitors, bile-acid sequestrants, nicotinic acid, and cholesterol absorption inhibitors.3 The most widely prescribed therapy was HMG-CoA reductase inhibitors or statins, which act by competitively blocking HMG-CoA reductase, a rate-limiting enzyme in cholesterol biosynthesis, thus reducing intrahepatic cholesterol.4 In Malaysia, this class of drug comprises 96% out of all LLDs used, and the trend of prescription was also increasing.5 The use of simvastatin, atorvastatin, rosuvastatin, and other statins were 65%, 28%, 6%, and 1%, respectively.5

The World Health Organization defines adherence as the extent to which a person’s behavior (such as taking medication, following a diet, and/or executing lifestyle changes) corresponds with agreed recommendations from a healthcare provider.6 In developed countries, only 50% of patients who had chronic illness adhere to their long-term therapy. There are many types of non-adherence in the medical field. Firstly, primary non-adherence in which the healthcare providers issue a prescription but the medication is never filled or started. Secondly, non-persistence in which the patients stop taking the medication on their own after starting it, without consulting the physicians. Thirdly, is the non-conforming. This type consists of patients who do not take the medication as prescribed, such as skipping the dose, taking the medication at an incorrect time, or even taking more than prescribed. The effects of non-adherence include waste of medication, extension of the disease, decrease functional abilities, lower quality of life, and increased rate of hospital admission.7

There are many ways to assess the adherence to the medication of a patient. There are direct and indirect methods. For the direct method, we can monitor the medication intake through the metabolite levels in the blood or urine and direct observation by the nurses or physicians. Meanwhile, the indirect method also serves the same purpose, which is to assess the adherence to treatment of a patient. Pharmacy refills, questionnaires, and diaries are among the indirect methods to assess the patient’s adherence to medication.8

Lastly, there are many studies done nationally and internationally on adherence to medication prescription. This shows the importance of adhering to medication among patients, especially patients on long-term treatment. This review aimed to systematically analyze and discuss the latest existing literature on factors affecting adherence to lipid-lowering medications from three perspectives: patient, medication, and healthcare workers. This review should be able to provide the latest and systematic information to all healthcare providers in improving care for their patients requiring lipid-lowering medication.

MethodS

The research question in this article was “what are the factors affecting adherence to LLDs?” We conducted a literature search of articles related to the research question using Scopus, PubMed, and Google Scholar databases. Several keywords were used and combined. The keywords used when searching for relevant articles were: 'adherence or compliance'; 'lipid or cholesterol'; and 'medication or drug or therapy or treatment'.

The articles search was selected based on the available keywords in the title and abstract with the publication restricted between January 2010 and September 2020. Articles generated from the databases must fulfill both inclusion and exclusion criteria in the present systematic review. The studies were included if they were: 1) related to factors affecting adherence to LLDs; 2) published; 3) in the English language; 4) available in full texts; and 5) quantitative studies.

Articles were excluded if the studies were: 1) not related to the objective of this systematic review; 2) review articles including systematic review and meta-analysis; 3) written in a language other than English; and 4) used a qualitative study design since this type of design will not give statistical results for comparison.

A total of 221 literature reviews were obtained from the initial search; 67 from Scopus, 45 from Google Scholar, and 109 from PubMed. Out of these papers, 43 were selected after screening for the titles and abstracts to exclude any irrelevant topics. The articles were then further scrutinized for the final list for this current review.

The following information was extracted and keyed into a spreadsheet: title, journal, year of publication, author, country, study method, sample size and criteria, and key findings.

Results

A total of 23 out of 43 shortlisted articles were selected for a more detailed review. Figure 1 shows the flow of article selection.

Figure 1: Flow diagram of literature search results.

The characteristics of the 23 articles selected for final analysis were summarized in Table 1. The final list consists of five cross-sectional studies,12,23,24,26,27 10 cohort studies,9,11,14,18–22,29,30 seven randomized controlled trials10,13,15–17,28,31 and one mixed-method study.25 Twenty-one were conducted globally while only two studies were conducted locally in Malaysia. Most of the studies were conducted in the USA (n = 5),14,18,20,25,30 followed by the Netherlands (n = 4).16,17,19,31 Malaysia,27,28 New Zealand,13,29 and Spain11,15 had two studies each (n = 2). Lastly, India,10 Iran,26 Palestine,12 Saudi Arabia,24 Japan,9 China,22 Hong Kong,21 and Israel23 had one study each to be reviewed.

Table 1: Final list of studies included in the systematic review.

Authors, year of publication

Country

n

Study design

Outcomes

Umeda et al,9 2019

Japan

6921

Retrospective study

Good adherence: concomitant use of hypertension gout medication with OR (95% CI) of 1.27 (1.13–1.43) and 1.18 (1.01–1.39), respectively. Poor adherence: patients aged ≤ 54 years or ≥ 75 years with OR (95% CI) of 1.72 (1.52–1.94)

Thom et al,10 2013

India and Europe (England, Ireland, Netherlands)

2004

Randomized, open-label, blinded-end-point clinical trial

Good adherence: FDC group (77%) vs usual care group (23%) with (RR = 3.35, 95% CI: 2.74–4.09; p < 0.001)

Sicras-Mainar et al,11 2018

Spain

13 244

Retrospective cost consequences analysis

Poor adherence: generic vs branded name statins; 61.5% vs. 65.1% (p < 0.001)

Shakarneh et al,12 2020

Palestine

185

Cross-sectional study

Poor adherence: illiterate (OR = 2.52; 95% CI: 0.9–4.3), polypharmacy (OR = 3.18; 95% CI: 1.9–5.7), having a comorbidity (OR = 3.10; 95% CI: 2.2–4.6), and having concerns about side effects (OR = 2.89; 95% CI:1.1–4.6)

Selak et al,13 2014

New Zealand

513

Open label, RCT

Good adherence: FDC (72%) vs. usual care (46%) with relative risk = 1.56 (95% CI: 1.34–1.82;
p < 0.001)

Raebel et al,14 2012

USA

16 173

Retrospective cohort study

Poor adherence: Hispanic ethnicity (OR: 1.47; 95% CI: 1.09–1.97), shorter health plan enrollment (OR = 1.20; 95% CI: 1.00–1.45), and three (OR = 1.38; 95% CI: 1.00–1.89) or four or more (OR = 1.59; 95% CI: 0.80–1.42) comorbidities

Oñatibia-Astibia et al,15 2019

Spain

746

RCT

Good adherence: community pharmacists’ intervention with (OR = 2.34, 95% CI: 1.87–3.03; p < 0.001)

Nieuwkerk et al,16 2012

Netherlands

194

RCT

Good adherence: patients in the extended care group (nurse-led counselling; 95–100%) vs. routine care group (90–95%) with OR = 0.30
(95% Cl: 0.03–0.63)

Vegter et al,17 2014

Netherlands

1000

RCT

Good adherence: MeMO program group RR = 0.49 (95% Cl: 0.37–0.66)

Virani et al,18 2013

USA

972 532

Cohort study

Poor adherence: high-intensity statin therapy (OR = 0.94; 95% Cl: 0.93–0.96), younger, female or black, have PAD only, and higher overall illness burden

de Vries et al,19 2016

Netherlands

7772

Cohort study

Poor adherence: low-dose group (median 83%; IQR = 46–96) vs. standard-dose group (median 86%; IQR = 52–97) (Wilcoxon-test; p < 0.001)

Vupputuri et al,20 2016

USA

1066

Retrospective cohort study

Good adherence: taking 10 or more medications at baseline and seeing a cardiologist during the follow-up period. Poor adherence: female, African American, or hospitalized during the follow-up period. However, no statistical analysis was done to determine its significant association

Wong et al,21 2011

Hong Kong

11 042

Cohort study

Good adherence: older age [‡ 50 years; AOR = 1.30–1.72, p = 0.009 to < 0.001], attend FMSC (AOR = 1.56, 95% CI: 1.25–1.95; p < 0.001), follow-up visits (AOR = 2.93, 95% CI: 2.56–3.36; p < 0.001), greater number of comorbidities (one comorbidity; AOR = 1.45, 95% CI: 1.24–1.70; p < 0.001; ‡2 comorbidities; AOR = 1.56, 95% CI: 1.31–1.87; p < 0.001)

Xie et al,22 2013

China

1890

Cohort study

Good adherence: men, administrative occupations, better (70% off cover rate) medical insurance, managed in province-level vs. county-level hospitals, treated by other than cardiologists, very high CVD risk, and using a statin. However, no statistical analysis was done to determine its significant association

Yoel et al,23 2013

Israel

200

Cross-sectional study

Good adherence: older (55 ± 12 vs. 50 ± 12; p < 0.001), female (64% vs. 49%; p < 0.01), socio- economically stronger, patient with diabetes (66% vs. 33%; p < 0.0001), and hypertension (71% vs. 50%; p < 0.0001)

Poor adherence: agree more with negative statements of chronic disease and discontinued specific drugs because of side effects (47% vs. 31%; p < 0.05)

Alwhaibi et al,24 2019

Saudi Arabia

1532

Retrospective cross-sectional study

Good adherence: comorbidities (77.4%), without polypharmacy and men (p-value = 0.0001)

Bosworth et al,25 2017

USA

240

Mixed-method study (RCT)

Good adherence: 54% of the intervention group adhered to refill packaging. 7.6% have a greater refill rate than the intervention group (p-value = 0.24; 95% CI: -5–20)

Dehkordi,26 2013

Iran

82

Cross-sectional study

Good adherence: younger age (p = 0.035), men, high family members (p = 0.033), and high education level (p = 0.000). Poor adherence: a greater number of drugs (p = 0.022)

Devaraj et al,27 2017

Malaysia

452

Cross-sectional study

Poor adherence: men (OR = 1.31; 95% CI: 1.02–1.74), taking lipid-lowering drugs for a longer period of time [i.e., of more than five years (OR = 1.37; 95% CI: 1.09–1.72), and more than 10 years (OR = 1.48; 95% CI: 1.24–1.74)], taking their lipid-lowering drugs at night (OR = 1.71; 95% CI: 1.54–1.96) or non-specific timing (OR = 1.63; 95% CI: 1.46–1.83), those with less frequency of follow-ups in a year [one follow-up in a year (OR = 1.63; 95% CI: 1.51–1.92) and two follow-ups in a year (OR = 1.47; 95% CI: 1.22–1.87)], less number of follow-up clinics (OR = 1.61; 95% CI: 1.37–2.11), and lower knowledge scores

Heng et al,28 2019

Malaysia

147

Prospective, open-labeled, multicenter, randomized, and active comparator study

A significant difference of LDL-C percentage in three arms (p < 0.001). Good adherence: Simvastatin was taken just before bedtime

Hu et al,29 2020

New Zealand

946

Sub-cohort analysis

Good adherence: post hospitalization (OR = 2.49; 95% CI: 1.74–3.57) and having other comorbidities (OR = 1.50; 95% CI: 1.17–1.91). Poor adherence: younger age (OR = 0.67; 95% CI: 0.48–0.95)

Kamat et al,30 2011

USA

42 460

Retrospective study

Good adherence: SPC group (0.56 ± 0.34) than in the MPC group (0.47 ± 0.33) (p < 0.0001), ezetimibe-based therapies, longer duration of therapy, hospitalization at baseline, higher ATP III risk categories were 60–63% more likely to be adherent to therapy than patients in the low-risk category

OR: odds ratio; FDC: fixed-dose combination; RCT: randomized control trial; MeMO: medication monitoring and optimization; RR: relative risk;
PAD: peripheral artery disease; IQR: interquartile range; AOR: adjusted odd ratio; FMSC: family medicine specialist clinic; CVD: cardiovascular disease;
LDL-C: low-density lipoprotein-cholesterol; SPC: single-pill combination; MPC: Multiple-pill combination.

Six studies were done in 201310,18,22,23,26,31 and four in 2019.9,15,24,28 Two studies were conducted each year in 2011,21,30 2012,14,16 2014,13,17 2016,19,20 2017,25,27and 2020,12,29 and one in 2018.11 Most of the studies aimed to assess the control of LDL-C levels and factors affecting adherence to LLDs. The factors were classified based on patient factors, medication factors, and healthcare workers factors.

Out of 23 included articles, only 12 studies10,11,13,15,16,18–20,24,25,28,31 focused on HMG-CoA reductase (pravastatin, lovastatin, simvastatin, atorvastatin, and rosuvastatin) to assess adherence, and the rest12,14,17,21–23,26,27,29,30 include other LLDs such as fibrates (bezafibrates and gemfibrozil), niacin (nicotinic acid and acipimox), bile acid-binding resins (cholestyramine and colestipol hydrochloride), and cholesterol absorption inhibitor (ezetimibe).

Adherence rates were measured using various methods in the reviewed articles. Nine of the articles used proportion of days covered (PDC) to measure adherence,9,14,18–20,24,29–31 and four articles used medication possession ratio (MPR).11,21,22,25 Two articles used the Morisky Medication Adherence Scale-8 (MMAS-8),27,28 while one article measured adherence by using Morisky Medication Adherence-4 (MMAS-4).12 One article used the Morisky Green Levine Test to assess adherence.15
An interventional study utilized the Dutch observational data in measuring adherence.17 The other five articles used different definitions to measure adherence rate.10,13,16,23,26

Patient-related factors

Sociodemographic profile of patients

All the findings of patient-related factors are given in Table 2. According to the studies done by Xie et al,22 and Alwhaibi et al,24 there was a significantly higher percentage of patients having an adequate adherence to statin therapy among men. However, a study done by Yoel et al,23 mentioned that females (49%) have higher adherence to a statin medication. There was a significant association between compliance to medication and age whereby the compliance to medication decreased with increased age.26 In contrast, a study done in Israel found that the older the patient, the higher the adherence to medication.23 Additionally, the higher the number of family members and higher education level will increase medication adherence.26 Xie et al,22 pointed out that those who were working in the administrative field and having better medical insurance coverage were found to have better adherence to LLDs. African-American20 and Hispanic14 patients were found to have lower adherence to LLDs. Shorter health-plan membership is one of the reasons for primary non-adherence to LLDs.14 Besides the typical sociodemographic profile highlighted, the patients’ perception of lipid medication can also determine their adherence.23 For example, Yoel et a,l23 found that patient's insight on traditional medicine should switch the designated drugs.

Table 2: Findings on the patient-related factors affecting adherence to lipid-lowering drugs (LLDs).

Author, year

Study design,

number of participants

Summary of the findings on factors affecting adherence to LLDs

Umeda et al,9 2019

Retrospective study,

n = 6921

Poor adherence: patients aged ≤ 54 years or ≥ 75 years with OR (95% CI) of 1.72 (1.52–1.94)

Shakarneh et al,12 2020

Cross-sectional study,

n = 185

Poor adherence: illiterate (OR = 2.52; 95% CI: 0.9–4.3), having a comorbidity (OR = 3.10; 95% CI: 2.2–4.6), and having concerns about side effects (OR = 2.89; 95% CI: 1.1–4.6)

Raebel et al,14 2012

Retrospective cohort study,

n = 16 173

Poor adherence: Hispanic ethnicity (OR = 1.47; 95% CI: 1.09–1.97), shorter health plan enrollment (OR = 1.20; 95% CI: 1.00–1.45), and three (OR = 1.38; 95% CI: 1.00–1.89) or ≥ 4 (OR = 1.59; 95% CI: 0.80–1.42) comorbidities

Virani et al,18 2013

Cohort study,

n = 972 532

Poor adherence: younger, female or black, have PAD only, and higher overall illness burden

Virani et al,18 2013

Retrospective cohort study,

n = 1066

Poor adherence: Female, African American, or hospitalized during the follow-up period. However, no statistical analysis was done to determine its significant association

Wong et al,21
2011

Cohort study,

n = 11 042

Good adherence: older age [‡ 50 years; AOR = 1.30–1.72; p = 0.009 to < 0.001], follow-up visits (AOR = 2.93, 95% CI: 2.56–3.36; p < 0.001), and greater number of comorbidities (one comorbidity; AOR = 1.45, 95% CI: 1.24–1.70; p < 0.001; ‡2 comorbidities; AOR = 1.56, 95% CI: 1.31–1.87; p < 0.001)

Xie at al,22 2013

Cohort study,

n = 1890

Good adherence: men, administrative occupations, better (70% off cover rate) medical insurance, very high CVD risk. However, no statistical analysis was done to determine its significant association

Yoel et al,23 2013

Cross-sectional study,

n = 200

Good adherence: older (55 ± 12 vs. 50 ± 12, p < 0.001), female (64% vs. 49%, p < 0.01), socio- economically stronger, patient with diabetes (66% vs. 33%, p < 0.0001), and hypertension (71% vs. 50%, p < 0.0001). Poor adherence: agree more with negative statements of chronic disease

Alwhaibi et al,24 2019

Retrospective cross-sectional study,

n = 1532

Good adherence: comorbidities (77.4%) and men (p = 0.0001)

Dehkordi,26 2013

Cross-sectional study,

n = 82

Good adherence: younger age (p = 0.035), men, high family members (p = 0.033), and high education level (p = 0.000)

Devaraj et al,27 2017

Cross-sectional study,

n = 452

Poor adherence: men (OR = 1.31; 95% CI: 1.02–1.74), those with less frequency of follow-ups in a year [one follow-up in a year (OR = 1.63; 95% CI: 1.51–1.92) and two follow-ups in a year (OR = 1.47; 95% CI: 1.22–1.87)], a smaller number of follow-up clinics (OR = 1.61; 95% CI: 1.37–2.11), and lower knowledge scores

Hu et al,29 2020

Sub-cohort analysis,

n = 946

Good adherence: post hospitalization (OR = 2.49; 95% CI: 1.74–3.57) and having other comorbidities (OR = 1.50; 95% CI: 1.17–1.91). Poor adherence: younger age (OR = 0.67; 95% CI: 0.48–0.95)

OR: odds ratio; PAD: peripheral artery disease; AOR: adjusted odd ratio; ATP III: adult treatment panel III.

Comorbidities and CVD risk

Umeda et al,9 mentioned that patients on secondary prevention have been associated with better adherence than patients on primary prevention who have been associated with worse adherence. A study done in the USA and the UK stated that there was a significant improvement in adherence to the prescribed drug post-hospitalization.29,30 Furthermore, as mentioned by Wong et al,21 and Yoel et al,23 the one that has more comorbidities tends to be more adherent to statins and the difference was statistically significant. Wong et al,21 also stated that patients who had more follow-up visits in a year proved to be more adherent to statin or other drugs prescribed to them. Those having a very high CVD risk were also found to be more adherent to their lipid medications.22 Meanwhile, non-adherence to LLDs was associated with the patient's concern about the side effects of the drugs.12,23

Medication-related factors

Type, number, and timing of medications

All findings related to medication-related factors are given in Table 3. A study conducted in the USA reported that patients who were on at least 10 types of medications had high adherence to LLDs.20 Furthermore, another study in Japan revealed that patients who were on gout and hypertension treatment showed better adherence to LLDs.9 In contrast, other studies showed that polypharmacy was one of the factors of non-adherence to LLDs.12,24,26

Table 3: Findings on the medication-related factors affecting adherence to lipid-lowering drugs (LLDs).

Author, year

Study design, number of participants

Summary of the findings on factors affecting adherence to LLDs

Umeda et al,9 2019

Retrospective study,

n = 6921

Good adherence: concomitant use of hypertension gout medication with OR (95% CI) of 1.27 (1.13–1.43) and 1.18 (1.01–1.39), respectively

Thom et al,10 2013

Randomized, open-label, blinded-end-point clinical trial,

n = 2004

Good adherence: FDC group (77%) vs. usual care group (23%) with (RR = 3.35, 95% CI: 2.74–4.09; p < 0.001)

Sicras-Mainar et al,11 2018

Retrospective cost-consequences analysis,

n = 13 244

Poor adherence: generic vs. branded-name statins; 61.5% vs. 65.1%
(p < 0.001)

Shakarneh et al,12 2020

Cross-sectional study,

n = 185

Poor adherence: polypharmacy (OR = 3.18; 95% CI: 1.9–5.7)

Selak et al,13 2014

Open label, RCT,

n = 513

Good adherence: FDC (72%) vs. usual care (46%) with relative risk of 1.56 (95% CI: 1.34–1.82), p < 0.001)

Virani et al,18 2013

Cohort study,

n = 972 532

Poor adherence: high-intensity statin therapy (OR = 0.94; 95%
Cl: 0.93–0.96)

de Vries et al,19 2016

Cohort study,

n = 7772

Poor adherence: low-dose group (median = 83%; IQR = 46–96) vs. standard-dose group (median = 86%; IQR = 52–97) (Wilcoxon-test;
p < 0.001)

Vupputuri et al,20 2016

Retrospective cohort study,

n = 1066

Good adherence: taking ≥ 10 medications at baseline

However, no statistical analysis was done to determine its significant association

Xie at al,22 2013

Cohort study,

n = 1890

Good adherence: using a statin. However, no statistical analysis was done to determine its significant association

Yoel et al,23 2013

Cross-sectional study,

n = 200

Good adherence: discontinued specific drugs because of side effects (47% vs. 31%, p < 0.05)

Alwhaibi et al,24 2019

Retrospective cross-sectional study,

n = 1532

Good adherence: without polypharmacy (p = 0.0001)

Bosworth et al,25 2017

Mixed-method study (RCT)

n = 240

Good adherence: 54% of intervention group adhere to refill packaging. 7.6% have greater refill rate of the intervention group (p = 0.24; 95%
CI: -5–20%)

Dehkordi,26 2013

Cross-sectional study,

n = 82

Poor adherence: a greater number of drugs (p = 0.022)

Devaraj et al,27 2017

Cross-sectional study,

n = 452

Poor adherence: taking LLDs for a longer period of time [i.e. of > five years (OR = 1.37; 95% CI: 1.09–1.72) and > 10 years (OR = 1.48; 95% CI: 1.24–1.74], taking their LLDs at night (OR = 1.71; 95% CI: 1.54–1.96) or non-specific timing (OR = 1.63; 95% CI: 1.46–1.83)

Heng et al,28 2019

Prospective, open-labelled, multicenter, randomized and active comparator study,

n = 147

Significant difference of LDL-C percentage in three arms (p < 0.001)

Good adherence: simvastatin was taken just before bedtime

Kamat et al,30 2011

Retrospective study,

n = 42 460

Good adherence: SPC group (0.56 ± 0.34) than in the MPC group (0.47 ± 0.33) (p < 0.0001), ezetimibe-based therapies, longer duration of therapy

OR: odds ratio ; FDC: fixed dose combination; IQR: nterquartile range; LDL-C: low-density lipoprotein-cholesterol; SPC: single-pill combination;
MPC: Multiple-pill combination.

Regarding the packaging of LLDs, an intervention study was done by Bosworth et al,25 using blister packaging among veterans to improve adherence. This study revealed a greater refill rate, but the differences were not significant. Nevertheless, users reported the benefits of this type of packaging and would recommend it to others during the interview. Additionally, drug dosing was also found to affect adherence rate. Studies done by Selak et al,13 Thom et al,10 and Kamat et al30 investigated the association between fixed-dose combination, also known as single-pill combination, to adherence rate. Fixed-dose combination or single-pill combination is the combination of two or more drugs into a single pill. Interestingly, all studies showed significant improvement in the adherence rate. The type of LLDs may improve adherence, where patients prescribed statin were found to be more adherent compared to other LLDs.22 However, another study by Kamat et al,30 revealed that using ezetimibe-based therapy significantly increases adherence rate.

A randomized control trial study that took the respondents from primary healthcare clinics in Malaysia discovered that patients who took the drug before bedtime had better adherence to LLDs although this finding was not significant.28 However, in a cross-sectional study, patients who consumed drugs at night or random timing were likely to have poor adherence to LLDs.27

Duration and side effects

Significant positive outcome was observed in a study30 among patients who took the medication over a long period of time but another study demonstrated the negative outcome.27 Non- adherence of LLDs was higher among patients who use generic statins,11 initiate with low-dose statins,19 and develop side effects of medication effect such as myalgia and insomnia.23 Also, unsurprisingly, many patients withdrew the drug due to unwanted effects.23

Healthcare worker-related factors

Several studies were conducted to investigate the association between healthcare workers and patients’ adherence [Table 4]. Three intervention-based studies were reviewed including studies by Nieuwkerk et al,16 Oñatibia-Astibia et al,15 and Vegter et al.17 The first study used nurse-led counseling as an intervention for adherence, which reported significant improvement in the intervention group.16 The second study also reported a significant increase in adherence in the intervention group, after tailored interventions by community pharmacists.15 The study identified each individual cause of non-adherence before tailoring the intervention accordingly. The third interventional study recruited a pharmaceutical care program, medication monitoring and optimization, in community pharmacies. The study reported significant improvement in the rate of adherence in the intervention group.17

In a study by Raebel et al,14 on primary non-adherence, patients with providers in non-primary care have a significantly lower likelihood of having primary non-adherence compared with primary care. In contrast, a study investigating secondary non-adherence by Wong et al,21 found significantly more adherence in attending Family Medicine Specialist Clinic (FMSC). Moreover, seeing a cardiologist was reported to increase the adherence rate.20 Contrarily, Xie et al,22 found that patients treated by specialists other than cardiologists had significantly more proportion of patients with good adherence. This study also reported that patients treated at a province level had more adherence compared to county-level hospitals.22

Discussion

According to the results of our scoping review, a variety of factors, such as those relating to patient, the medication, and the healthcare workers can influence adherence to lipid-lowering medications [Figure 2]. To increase the adherence rate, each of these aspects needs to be taken into consideration.

Figure 2: Summary of the factors affecting adherence to lipid-lowering drugs.

Patient-related factor

In this review, there were two articles stated that men were more adherent to LLDs while one article stated otherwise.22–24 Gender-based disparities in adherence to drugs were not yet definitive, but it was confirmed that women who consume multiple drugs and fail to comply with the guidelines of healthcare providers were factors that affect women’s decision not to adhere with the prescription given. Furthermore, the results of the reviewed studies indicate that women were consistently less likely to stick to their medication regimes than men. This finding is consistent with several other reviews on the similar topic.32,33 Another review found that female sex contributes to the negative impact on adherence to statins.34 This disparity can be explained by the fact that women experience more drug-related side effects than men;35 however, the side effects of these drugs are generally shown to affect both genders. In some societies, women might have a lower level of educational background, and that could explain the discrepancy in gender-related adherence to drugs.22

Moreover, this review also found that a higher number of family members also improve someone’s adherence to LLDs.26 This could be because the patient has a support system that can act as a reminder to take the drug on time and adhere to the prescription. In addition, those with a higher level of educational background were more adhered to their lipid medication.26 This could be because patients who had a high educational level also tend to have good awareness about being adherent to the medication and the negative effects of skipping the medication. This finding is consistent with a systematic review, which found that a higher level of education is associated with statin adherence.32 Interestingly, that review found a link between educational level and gender in which men with higher educational levels were found to be more adherent, but the opposite effect was observed in women.32

Those who had at least one experience of hospitalization, CVD accident, or other comorbidities have a better realization regarding adherence and subsequently improved their adherence to the drugs regimes.9,11,29 In agreement with this, a prior review on this topic found that high number of comorbidities and previous cardiovascular events have a positive influence on adherence to statins.34 Apart from that, we found that African-American and Hispanic ethnicity corresponded to low adherence to LLDs. This was supported by the finding in a systematic review in which non-white patients were 53% more likely to be non-adherent to statin therapy.33 The possible explanations may arise from their conviction, knowledge, cultural norm, preference, and doctor-patient relationship.14,20,36 Patient’s concern about the side effects of medication should be taken into account to ensure adherence to LLDs.12,23,37 Knowledge and attitudes play an important role in a patient's perception of the drug. For example, the Bedouin, the minority population, who still try to catch up with Western knowledge, attitudes, and lifestyle opt for traditional medicine compared to modern healthcare facilities.23

Medication-related factor

Two studies demonstrated that polypharmacy has a potential positive factor in drug adherence. For example, patients with dyslipidemia who have concomitant gout and suffered severe pain have a better understanding of the importance of the drugs.9,20 However, many studies proved the contradictory statement.12,26,38–40 These inconsistent findings are not surprising as a systematic review also found similar results and eventually suggested no association between polypharmacy and adherence.32 Being prescribed with many drug regimens, especially among patients with dyslipidemia and type II diabetes mellitus, has a likelihood to poor adherence to the drug due to the capability of drug-drug interaction and side effects of it.38 To make the situation even worse, patients taking multiple drugs due to many comorbidities have a higher risk of mortality due to the disease or the treatment itself.41 To overcome this factor of non-adherence, many studies investigated the combination of medications into a single pill to reduce the patient’s overall pill burden. Although many physicians avoid giving combined pills due to the lack of freedom to titrate each medications’ dosage, in the case of LLDs, the drugs were not that frequently titrated. So, this would be a beneficial modification to improve adherence to multiple LLDs.30

A growing barrier to adherence to the drug was the adverse effect of the medication.23,42,43 This is consistent with the findings from previous reviews.32,34 The well-known side/adverse effects of statin include muscle related (ranging from mild muscle ache to severe rhabdomyolysis), hepatic, and renal dysfunction. One study found that one in 10 people complain of 'very unpleasant' or persistent unwanted effects, especially from statins, however, this study did not assess the nature of the side effects.40 In another study conducted in the USA, frequent muscle side effects due to statins were reported that lead to poor adherence and discontinuation.44 However, the usage of statins may also increase adherence. This may be due to its greater potency as compared to other drugs, in lowering the lipid level.22

As a primary reason for non-adherence, difficulty remembering the dose consumed is an important factor to consider. As such, by utilizing blister packaging, patients can self-monitor their own medication consumption which will improve adherence. This type of packaging also allows healthcare workers to monitor patients’ adherence during their follow-ups.25

Healthcare worker-related factor

Several studies using interventions by healthcare workers were done and many proved its effectiveness. This includes counseling by nurses,16 pharmacists,15 as well as monitoring and optimization of medications regime among others.17 Patients receiving risk factor counseling increased their sense of control about their disease, hence improving adherence. In addition, studies also reported that personal contact by improving relationships between patients and healthcare workers may increase adherence.16 Also, personalized intervention for each patient according to their problems for non-adherence was found to be an effective way to improve adherence, and this intervention should be done by the community pharmacists.15 This finding proved that healthcare workers play a vital role in improving patient’s adherence. A previous review found that lack of communication between the physician and the patient during the consultation has a negative impact on adherence to statins.34 Healthcare workers should be able to counsel their patients holistically regarding dyslipidemia and lipid-lowering medications. The communication skills that can improve the relationship between healthcare workers and patients must always be emphasized. The availability of updated local guidelines on this topic is one of the best modes of training for healthcare workers.

As for the drug providers and monitoring, patients attending FMSC may have more comorbidities as compared to general outpatient clinics. In the Health Belief Model, sicker patients were found to be more adherent to their medications. This may be the explanation for adherence improvement in FMSC attendees.21 Contradicting results were found for seeing a cardiologist. Seeing a cardiologist may improve a patient's adherence, which may be explained by more active monitoring and counseling from a cardiologist as opposed to other physicians. However, this may also be associated with the motivation of the patient themselves, where motivated patients tend to seek treatment from a cardiologist.20 Furthermore, a study in Dubai found that patients receiving treatment from tertiary care have better lipid control compared to those receiving treatment from primary care.45 Another study found an increase in adherence for patients treated by other than cardiologists, but it could be due to patients’ different characteristics, as this factor was not statistically significant after adjusting for other factors.22 This was further supported by a study involving six Arabian countries that found most patients with established atherosclerotic cardiovascular disease, including those treated in the tertiary center, did not achieve the non-high-density lipoprotein cholesterol target.46

As for the location of the hospitals, the province has undergone urbanization, resulting in a better healthcare system as compared to the county level, and higher health literacy among urbanized patients.22 This may explain why patients at the province-level hospital were more adherent to their LLDs.

Conclusion

Dyslipidemia is a silent killer, and many people are unaware of the importance to control this disease. Many factors were found to affect adherence to LLDs including patient, medication, and healthcare workers-related factors. As such, by understanding all these factors, efforts need to be made to improve patient adherence. Recommendations to improve adherence include educating patients on the disease itself and the importance of the treatment, modification of the dosing, timing, type of LLDs, and effective consultations by healthcare workers. Further studies need to be done in Malaysia as there is inadequate research on this topic.

Disclosure

The authors declared no conflicts of interest. No funding was received for this study.

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