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Polypharmacy among patients with diabetes: a cross-sectional retrospective study in a tertiary hospital in Saudi Arabia.

ABSTRACT: ObjectivesPatients with diabetes are at high risk for polypharmacy (ie, use of multiple medications) for treatment of diabetes, associated comorbidities and other coexisting conditions. This study aims to estimate the prevalence of polypharmacy and factors associated with polypharmacy among adult patients with diabetes. METHODS:A cross-sectional retrospective observational study of adults with diabetes, who visited the outpatient clinic of a tertiary teaching hospital in Saudi Arabia, was conducted. Data were extracted from the Electronic Health Record database for a period of 12 months (January-December 2016). Polypharmacy was defined as the cumulative use of five or more medications. Polypharmacy among adults with diabetes was measured by calculating the average number of medications prescribed per patient. A multivariable logistic regression model was used to examine the factors associated with polypharmacy. RESULTS:A total of 8932 adults with diabetes were included in this study. Of these, nearly 78% had polypharmacy which was more likely among women as compared with men and more likely among older adults (age ≥60 years) as compared with the adults. Also, polypharmacy was two times as likely among patients with coexisting cardiovascular conditions (adjusted OR (AOR)=2.89; 95% CI 2.54 to 3.29), respiratory disease (AOR=2.42; 95% CI 1.92 to 3.03) and mental health conditions (AOR=2.19; 95% CI 1.74 to 2.76), and three times as likely among patients with coexisting musculoskeletal disease (AOR=3.16; 95% CI 2.31 to 4.30) as compared with those without these coexisting chronic conditions categories. CONCLUSIONS:Polypharmacy is common among patients with diabetes, with an even higher rate in older adults patients. Healthcare providers can help in detecting polypharmacy and in providing recommendations for simplifying medication regimens and minimising medications to enhance the outcome of diabetes care.

SUBMITTER: Alwhaibi M

PROVIDER: S-EPMC5988096 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectivesThe purpose of this study is to measure the adherence rates of oral antidiabetic drugs (OADs) in patients with type 2 diabetes mellitus (T2DM) and assess the relationship of glycaemic control and adherence to OADs after controlling for other associated factors.DesignCross-sectional retrospective study.SettingLarge tertiary hospital in the central region of Saudi Arabia.Participants5457patients aged 18 years and older diagnosed with T2DM during the period from 1 January 2016 to 31 December 2016.Primary and secondary outcome measuresThe modified medication possession ratio (mMPR) was calculated as a proxy measure for adherence of OADs. The factors associated with OADs non-adherence and medication oversupply were assessed using multinomial logistic regression models. The secondary outcomes were to measure the association between OADs adherence and glycaemic control.ResultsMajority of patients with T2DM were females (n=3400, 62.3%). The average glycated haemoglobin was 8.2±1.67. Among the study population, 48.6% had good adherence (mMPR >0.8) and 8.6% had a medication oversupply (mMPR >1.2). Good adherence was highest among those using repaglinide (71.0%) followed by pioglitazone (65.0%) and sitagliptin (59.0%). In the multivariate analysis, women with T2DM were more likely to have poor adherence (adjusted OR (AOR)=0.76, 95% CI=0.67, 0.86) compared with men. Also, medication oversupply was more likely among patients with hyperpolypharmacy (AOR=1.88, 95% CI=1.36, 2.63), comorbid osteoarthritis (AOR=1.72, 95% CI=1.20, 02.45) and non-Saudi patients (AOR=1.53, 95% CI=1.16, 2.01). However, no association was found between glycaemic control and adherence to OADs.ConclusionThe study findings support the growing concern of non-adherence to OADs among patients with T2DM in Saudi Arabia. Decision makers have to invest in behavioural interventions that will boost medication adherence rates. This is particularly important in patients with polypharmacy and high burden of comorbid conditions.

Project description:ObjectivesDengue imposes substantial economic, societal and personal burden in terms of hospital stay, morbidity and mortality. Early identification of dengue cases with high propensity of increased hospital stay and death could be of value in isolating patients in need of early interventions. The current study was aimed to determine the significant factors associated with dengue-related prolonged hospitalisation and death.DesignCross-sectional retrospective study.SettingTertiary care teaching hospital.ParticipantsPatients with confirmed dengue diagnosis were stratified into two categories on the basis of prolonged hospitalisation (?3 days and >3 days) and mortality (fatal cases and non-fatal cases). Clinico-laboratory characteristics between these categories were compared by using appropriate statistical methods.ResultsOf 667 patients enrolled, 328 (49.2%) had prolonged hospitalisation. The mean hospital stay was 4.88±2.74 days. Multivariate analysis showed that dengue haemorrhagic fever (OR 2.3), elevated alkaline phosphatase (ALP) (OR 2.3), prolonged prothrombin time (PT) (OR 1.7), activated partial thromboplastin time (aPTT) (OR 1.9) and multiple-organ dysfunctions (OR 2.1) were independently associated with prolonged hospitalisation. Overall case fatality rate was 1.1%. Factors associated with dengue mortality were age >40 years (p=0.004), secondary infection (p=0.040), comorbidities (p<0.05), acute kidney injury (p<0.001), prolonged PT (p=0.022), multiple-organ dysfunctions (p<0.001), haematocrit >20% (p=0.001), rhabdomyolosis (p<0.001) and respiratory failure (p=0.007). Approximately half of the fatal cases in our study had prolonged hospital stay of greater than three days.ConclusionsThe results underscore the high proportion of dengue patients with prolonged hospital stay. Early identification of factors relating to prolonged hospitalisation and death will have obvious advantages in terms of appropriate decisions about treatment and management in high dependency units.

Project description:BackgroundShift work and night shifts are very common in healthcare organisations worldwide. However, healthcare professionals doing shift work and night shifts are exposed to several stressors with psychological, social, physical and sleeping consequences. This study aimed to evaluate the effect of night shifts on the psychosocial, physical well-being and sleeping patterns of healthcare professionals in Saudi Arabia.MethodsWe conducted an observational cross-sectional study from July to September 2019 at King Abdulaziz Medical City, Jeddah, Saudi Arabia. Convenience sampling technique was used to recruit healthcare providers to participate in the study. The outcomes measured included the effect of working hours of healthcare workers on psychosocial and physical health, substance use, and sleep quality and patterns. Pearson's χ2 test was used to compare proportions, and Student's t-test/Analysis of variance (ANOVA) was used to examine the mean differences among different demographic groups.ResultsA total of 352 healthcare providers were involved in the study, of whom only 272 were night shift workers. The mean level of job satisfaction was higher among day shift workers than night shift workers: the mean scores were 3.82 (SD=0.93) and 3.48 (SD=1.04), respectively, p=0.007. Moreover, social life was more adversely affected among night shift workers compared with day shift workers: 3.95 (SD=1.11) and 3.61 (SD=1.25), respectively, p<0.030. Likewise, family life was more adversely affected among night shift workers than day shift workers, with a mean of 3.92 (SD=1.10) and 3.50 (SD=1.21), respectively, p<0.006. Around 71% of night shift workers reported having poor-quality sleep compared with 50% of day shift workers (p=0.001).ConclusionQuality of life is poor among night shift workers than day shift workers, particularly concerning sleep and social and physical outcomes. Further research is needed to investigate factors associated with the quality of sleep and the psychosocial and physical well-being of healthcare professionals working night shifts.

Project description:BackgroundInformation on the clinical characteristics and outcomes of hospitalized Covid-19 patients with or without diabetes mellitus (DM) is limited in the Arab region. This study aims to fill this gap.MethodsIn this single-center retrospective study, medical records of hospitalized adults with confirmed Covid-19 [RT-PCR positive for SARS-CoV2] at King Saud University Medical City (KSUMC)-King Khaled University Hospital (KKUH), Riyadh, Saudi Arabia from May to July 2020 were analyzed. Clinical, radiological and serological information, as well as outcomes were recorded and analyzed.ResultsA total of 439 patients were included (median age 55 years; 68.3% men). The most prevalent comorbidities were vitamin D deficiency (74.7%), DM (68.3%), hypertension (42.6%) and obesity (42.2%). During hospitalization, 77 out of the 439 patients (17.5%) died. DM patients have a significantly higher death rate (20.5% versus 12.3%; p?=?0.04) and lower survival time (p?=?0.016) than non-DM. Multivariate cox proportional hazards regression model revealed that age [Hazards ratio, HR 3.0 (95% confidence interval, CI 1.7-5.3); p?<?0.001], congestive heart failure [adjusted HR 3.5 (CI 1.4-8.3); p?=?0.006], smoking [adjusted HR 5.8 (CI 2.0-17.2); p?<?0.001], ?-blocker use [adjusted HR 1.7 (CI 1.0-2.9); p?=?0.04], bilateral lung infiltrates [adjusted HR 1.9 (CI 1.1-3.3); p?=?0.02], creatinine?>?90 µmol/l [adjusted HR 2.1 (CI 1.3-3.5); p?=?0.004] and 25(OH)D?<?12.5 nmol/l [adjusted HR 7.0 (CI 1.7-28.2); p?=?0.007] were significant predictors of mortality among hospitalized Covid-19 patients. Random blood glucose???11.1 mmol/l was significantly associated with intensive care admission [adjusted HR 1.5 (CI 1.0-2.2); p?=?0.04], as well as smoking, ?-blocker use, neutrophil?>?7.5, creatinine?>?90 µmol/l and alanine aminotransferase?>?65U/l.ConclusionThe prevalence of DM is high among hospitalized Covid-19 patients in Riyadh, Saudi Arabia. While DM patients have a higher mortality rate than their non-DM counterparts, other factors such as old age, congestive heart failure, smoking, ?-blocker use, presence of bilateral lung infiltrates, elevated creatinine and severe vitamin D deficiency, appear to be more significant predictors of fatal outcome. Patients with acute metabolic dysfunctions, including hyperglycemia on admission are more likely to receive intensive care.

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Polypharmacy among patients with diabetes: a cross-sectional retrospective study in a tertiary hospital in Saudi Arabia.

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