| Literature DB >> 31440290 |
Mehdi Jafari Oori1, Farahnaz Mohammadi2, Kian Norouzi-Tabrizi3, Masoud Fallahi-Khoshknab4, Abbas Ebadi5.
Abstract
BACKGROUND: Medication adherence (MA) has a crucial role in controlling of hypertension (HTN). A difference was observed in the prevalence of anti-hypertensive MA reported in different studies in Iran, so we aimed to determine the overall prevalence of MA.Entities:
Keywords: Hypertension; Iran; Medication Adherence; Meta-Analysis; Prevalence; Systematic Review
Year: 2019 PMID: 31440290 PMCID: PMC6679658 DOI: 10.22122/arya.v15i2.1807
Source DB: PubMed Journal: ARYA Atheroscler ISSN: 1735-3955
Figure 1The process of selecting the primary articles according to preferred reporting items for systematic reviews and meta-analyses (PRISMA)
Characteristics of the primary studies
| First author | Sample size | Target community | City | Questionnaires | Scoring of questionnaires | Overall prevalence | Prevalence• | Article quality score | Article language | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| High | Moderate | Low | |||||||||
| Mahmoudian et al.[ | 300 | adults | Isfahan | MMAS-8 | Score 8 = adherent / score 1-7: Non- adherent to medication | 12.0 | - | - | - | 10 | English |
| Behnood-Rod et al.[ | 280 | adults | Tehran, Bafq, and Kermanshah | MMAS-8 | Score < 6: Poor adherence / Score 6-7: moderate adherence / Score 8: high adherence | - | 16.0 | 34.00 | 50.0 | 8 | English |
| Zinat Motlagh et al.[ | 1836 | adults | Kohgiloyeh and Boyerahmad | Self-care questionnaire | Score 21: adherent / Score lower than 21: Non- adherent | 36.1 | - | - | - | 8 | English |
| Arbabshastan et al.[ | 400 | adults | Zahedan | HBMA | Poor / moderate / high adherence | - | 45.4 | 41.00 | 31.6 | 9 | English |
| Izadirad and Zareban[ | 358 | adults | Zabul | Researcher-made | score 0-9: poor adherence / score 10-15: moderate adherence / score > 15: high adherence | - | 53.35 | 3.44 | 16.2 | 5 | English |
| Roohafza et al.[ | 1055 | People over 19 | Isfahan, Najafabad, and Arak | Researcher-made | Answer Yes: adherent / Answer No: Non-adherent | 45.0 | - | - | - | 9 | English |
| Roohafza et al.[ | 619 | people over 19 | Isfahan, Najafabad, and Arak | Researcher-made | Answer Yes: adherent / Answer No: Non-adherent | 45.0 | - | - | - | 9 | English |
| Najimi et al.[ | 390 | adults | Isfahan | MMAS-8 | Score 8 = adherent /score 1-7: Non- adherent | 12.0 | - | - | - | 8 | English |
| Saadat et al.[ | 280 | adults | Tehran, Bafq, and Kermanshah | MMSA-8 | Score < 6: poor adherence / Score 6-7: moderate adherence / Score 8: high adherence | - | 16.4 | 34.00 | 49.6 | 8 | English |
| Dehghan et al.[ | 280 | adults | Kerman | HBMA | poor / moderate / high adherence | - | 51.0 | 42.60 | 6.4 | 7 | English |
| Taher et al.[ | 130 | adults | Tehran | HBMA | poor / moderate / high adherence | - | 5.4 | 85.40 | 9.2 | 6 | English |
| Moharamzad et al.[ | 200 | adults | Tehran, Bafq and Kermanshah | MMAS-8 | Score < 6: poor adherence / Score 6-7: moderate adherence / Score 8: high adherence | - | 15.0 | 31.00 | 54.0 | 7 | English |
| Kamran et al.[ | 671 | adults | Ardebil | MMSA-4 | Score 4 = adherent / Score 1-3: Non-adherent | 24.0 | - | - | - | 7 | English |
| Masror Roudsari et al.[ | 264 | adults | Tehran | Researcher-made | Score < 500: poor adherence / score 500-750: moderate adherence / score > 750: high adherence | - | 10.0 | 82.00 | 8.0 | 9 | Persian |
| Asayeshi et al.[ | 300 | elderly | Isfahan | MMAS-8 | Score < 6: poor adherence / Score 6-7: moderate adherence / Score 8: high adherence | - | 10.3 | 34.00 | 55.7 | 9 | English |
| Barati et al.[ | 328 | adults | Hamedan | Self-care questionnaire | score 0-5: poor adherence / score 6-10: moderate adherence / 11-16: high adherence | - | 84.1 | 11.60 | 3.3 | 8 | Persian |
| Hadi and Rostami-Gouran[ | 250 | adults | Isfahan | One item with Yes / No answer | Adherent = Consumption of 90-100% of prescription / Non-adherent: Consumption of less than 90% of prescription | 39.6 | - | - | - | 7 | English |
The low, moderate, and high MA are based on questionnaire scoring, for example, for the MMAS-8: scores of 0, 1-2, and 3-8 mean high, moderate, and low MA, respectively.
MMAS-8: 8-Item Morisky Medication Adherence Scale; MA: Medication adherence; HBMA: Hill-Bone Medication Adherence
Figure 2The forest plot of the overall prevalence of medication adherence CI: Confidence interval; MA: Medication adherence
Figure 3The forest plot of the prevalence of medication adherence in the studies with dichotomous and Likert scales CI: Confidence interval; MA: Medication adherence
Figure 4Forest plot, the prevalence of medication adherence based on questionnaires CI: Confidence interval; MA: Medication adherence
Figure 5Forest plots of the prevalence of MA based on the five regions* of the country for all studies (Left) and the 6 studies using the MMAS-8 tool (Right) CI: Confidence interval; MA: Medication adherence; MMAS-8: 8-Item Morisky Medication Adherence Scale *(Region 1: Tehran, Alborz, Qazvin, Mazandaran, Semnan, Golestan, and Qom provinces ; Region 2: Isfahan, Fars, Bushehr, Chaharmahal Bakhtiari, Hormozgan, and Kohkiloyeh and Boyerahmad provinces; Region 3: East Azarbaijan, West Azarbaijan, Ardebil, Zanjan, Gilan, and Kurdistan provinces; Region 4: Kermanshah, Ilam, Lorestan, Hamedan, Central, and Khuzestan provinces; Region 5: Khorasan Razavi, Southern Khorasan, Northern Khorasan, Kerman, Yazd, and Sistan and Baluchestan provinces)
Prevalence of medication adherence based on demographic variables
| Demographic variables | Categories | Prevalence (%) | CI |
|---|---|---|---|
| Age (year) | 30-39 | 30 | 24-35 |
| 40-49 | 26 | 22-30 | |
| 50-59 | 32 | 28-35 | |
| ≥ 60 | 38 | 35-41 | |
| Gender | Male | 33 | 30-36 |
| Female | 32 | 30-34 | |
| Marital status | Single | 23 | 16-29 |
| Married | 32 | 30-34 |
CI: Confidence interval
Figure 6The meta-regression graph of the relationship of the used scales (Right) and the regions (Left) with the prevalence of medication adherence MMAS-8: 8-Item Morisky Medication Adherence Scale; MA: Medication adherence
Figure 7Egger’s test diagram
Predictors of medication adherence based on the significant or non-significant relationship
| First author | Variables non-significantly correlated with medication adherence | Variables significantly correlated with medication adherence |
|---|---|---|
| Behnood-Rod et al.[ | Gender, age, insurance, location of residence, smoking | Systolic and diastolic blood pressure, body mass index (BMI), experience of referring to the emergency room because of hypertension |
| Arbabshastan et al.[ | - | Internal locus of control, social supporttd |
| Taher et al.[ | - | Understanding the necessity of taking medicines, concerns about drug use, age, sex, education, occupation, place of residence, duration of disease, duration of drug intake, polypharmacy, and history of comorbidity |
| Hadi and Rostami Gouran[ | Duration of disease | Systolic and diastolic blood pressure, age, duration of drug intake, polypharmacy, stage of hypertension, knowledge of hypertension, forgetfulness, side effects of drugs, number of visits |
| Mahmoudian et al.[ | Age, sex (patient), gender (physician), duration of disease | Education, satisfaction with communication with the doctor |
| Roohafza et al.[ | - | Stress, knowledge |
| Saadat et al.[ | Comorbidity | - |
| Zinat Motlagh et al.[ | Duration of disease, body mass index (BMI), income, education level, place of residence, marital status, gender | Age |
| Asayeshi et al.[ | Drug-related beliefs | Education and occupation |
| Kamran et al.[ | - | Physical activity, being a non-smoker, perceived sensitivity, perceived severity, perceived damage |
| Najimi et al.[ | - | Stressful life events, depression, interpersonal conflict |