Medication use for chronic health conditions among adults in Saudi Arabia: findings from a national household survey

Moradi‐Lakeh, Maziar; Bcheraoui, Charbel El; Daoud, Farah; Tuffaha, Marwa; Wilson, Shelley; Saeedi, Mohammad Al; Basulaiman, Mohammed; Memish, Ziad A.; AlMazroa, Mohammad A.; Rabeeah, Abdullah A. Al; Stergachis, Andy; Mokdad, Ali H.

doi:10.1002/pds.3904

Cited by 21 publications

(28 citation statements)

References 21 publications

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“…Previous evidence demonstrates the underutilization of diagnostic and therapeutic services for diabetes and low quality of care in different countries in the region (4,(11)(12)(13). A national survey in Saudi Arabia, which has the highest burden of diabetes in the EMR, showed that only 42.2% of individuals with diabetes had been diagnosed (15) and that only 70.5% of those known to have diabetes reported taking medication for diabetes (12). In addition to health care services being available, they should be accessible, acceptable, and affordable for communities to benefit from their utilization and experience continuity of care.…”

Section: Discussionmentioning

confidence: 99%

“…Also, genetic and epigenetic factors may play a role in the high prevalence of diabetes and its diversity in EMR countries (7). The EMR has high rates of overweight and obesity and inappropriate dietary habits and physical inactivity as the main modifiable risk factors of diabetes (8)(9)(10), as well as underdiagnosis of diabetes, underutilization of health services, and low quality of diabetes care (11)(12)(13). Moreover, millions of displaced people as a result of the armed conflicts have limited access to health services.…”

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confidence: 99%

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High Fasting Plasma Glucose, Diabetes, and Its Risk Factors in the Eastern Mediterranean Region, 1990–2013: Findings From the Global Burden of Disease Study 2013

et al. 2016

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OBJECTIVEThe prevalence of diabetes in the Eastern Mediterranean Region (EMR) is among the highest in the world. We used findings from the Global Burden of Disease 2013 study to calculate the burden of diabetes in the EMR. RESEARCH DESIGN AND METHODSThe burden of diabetes and burden attributable to high fasting plasma glucose (HFPG) were calculated for each of the 22 countries in the EMR between 1990 and 2013. A systematic analysis was performed on mortality and morbidity data to estimate prevalence, deaths, and disability-adjusted life years (DALYs). RESULTSThe diabetes death rate increased by 60.7%, from 12.1 per 100,000 population (95% uncertainty interval [UI]: 11.2-13.2) in 1990 to 19.5 per 100,000 population (95% UI: 17.4-21.5) in 2013. The diabetes DALY rate increased from 589.9 per 100,000 (95% UI: 498.0-698.0) in 1990 to 883.5 per 100,000 population (95% UI: 732.2-1,051.5) in 2013. In 2013, HFPG accounted for 4.9% (95% UI: 4.4-5.3) of DALYs from all causes. Total DALYs from diabetes increased by 148.6% during 1990-2013; population growth accounted for a 62.9% increase, and aging and increase in age-specific DALY rates accounted for 31.8% and 53.9%, respectively. CONCLUSIONSOur findings show that diabetes causes a major burden in the EMR, which is increasing. Aging and population growth do not fully explain this increase in the diabetes burden. Programs and policies are urgently needed to reduce risk factors for diabetes, increase awareness of the disease, and improve diagnosis and control of diabetes to reduce its burden.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

High Fasting Plasma Glucose, Diabetes, and Its Risk Factors in the Eastern Mediterranean Region, 1990–2013: Findings From the Global Burden of Disease Study 2013

et al. 2016

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“…A multistage stratified probability sample was employed to recruit survey respondents to ensure that the findings of the survey were representative of the Saudi population. A detailed description of the sampling methodology and data collection is available elsewhere . A total of 10 735 individuals aged over 15 were interviewed, with a response rate of about 90% in the SHIS .…”

Section: Methodsmentioning

confidence: 99%

“…A detailed description of the sampling methodology and data collection is available elsewhere . A total of 10 735 individuals aged over 15 were interviewed, with a response rate of about 90% in the SHIS . However, this study restricted the analysis to respondents aged between 18 and 80 years to account both for missing data (most respondents aged below 18 had missing observations on some controls) and for low as well as high prevalence of diabetes.…”

Section: Methodsmentioning

confidence: 99%

Socio‐economic inequalities in diabetes prevalence in the Kingdom of Saudi Arabia

Al-Hanawi

Chirwa

Pulok

2019

Health Planning & Management

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Summary Background Rising prevalence of non‐communicable diseases, including diabetes in the Middle East, is a major public health concern of the 21st century. However, there is a paucity of literature to understand and measure socio‐economic inequalities in diabetes prevalence in this region, including the Kingdom of Saudi Arabia (KSA). Methods This study investigated socio‐economic inequalities in diabetes prevalence in the KSA using data from the Saudi Arabia Health Interview Survey. Concentration curve, concentration index, and multivariate logistic regression were used to measure and examine income‐ and education‐related inequalities in diabetes prevalence. Results The results showed significant socio‐economic inequalities in the prevalence of diabetes through analysing a nationally representative sample of the KSA population. Diabetes prevalence was concentrated among the poor and among people with less education. In addition, education‐related inequality was higher than income‐related inequality. Conclusions The findings of this study are important for policymakers to combat both the increasing prevalence of and socio‐economic inequalities in diabetes. The government should promote health education programmes and increase the level of public awareness of diabetes management, especially among the lower educated population in the KSA.

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“…A complex interplay of patient‐ and treatment‐related factors including demographic, socio‐economic, therapy, disease states and health systems and structure determining the allocation of resources, the cost of healthcare and the continuity of care patients receive have been identified to be key influences leading to non‐adherence in patients . Systematic reviews have identified polypharmacy as a factor contributing to medication non‐adherence .…”

Section: Introductionmentioning

confidence: 99%

Non‐prescription medicines may contribute to non‐adherence to prescription medicines in people living with chronic health conditions

et al. 2020

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Background Non‐adherence to prescribed medicines is linked to adverse health outcomes in people living with chronic health conditions (CHCs). Multiple factors are known to contribute to non‐adherence to medicines including polypharmacy, demographic features and disease and health systems. Both non‐prescription and prescription medicines contribute to polypharmacy; however, there is limited data on the influence of non‐prescription medicines to non‐adherence. Aim Therefore, the aim of the study was to investigate the influence of non‐prescription medicines to non‐adherence in an Australian population. Methods Data from the 2016 National Survey of a random sample of Australian adult residents were utilised in this study to investigate factors associated with non‐adherence. Descriptive statistics, χ2, regression and generalised linear models were used to assess the relationships between variables of interest. Narrative response and comments were used to provide further insight. Results This study recruited 1217 participants to explore factors associated with non‐adherence to medicines. Weak but statistically significant correlations were identified showing the number of CHCs, patient's age, number of prescription medicines, number of non‐prescription medicines and total number of medicines associated with non‐adherence. Discussion The findings suggest that people living with CHCs and taking multiple medicines, including non‐prescription medicines, are likely to be non‐adherent to prescription medicines. This study shows the possible involvement of non‐prescription medicines in contributing to non‐adherence in an Australian population and suggests that future studies with a broader demographic are warranted.

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Medication use for chronic health conditions among adults in Saudi Arabia: findings from a national household survey

Cited by 21 publications

References 21 publications

High Fasting Plasma Glucose, Diabetes, and Its Risk Factors in the Eastern Mediterranean Region, 1990–2013: Findings From the Global Burden of Disease Study 2013

High Fasting Plasma Glucose, Diabetes, and Its Risk Factors in the Eastern Mediterranean Region, 1990–2013: Findings From the Global Burden of Disease Study 2013

Socio‐economic inequalities in diabetes prevalence in the Kingdom of Saudi Arabia

Non‐prescription medicines may contribute to non‐adherence to prescription medicines in people living with chronic health conditions

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