Factors related to poor asthma control in Latvian asthma patients between 2013 and 2015.

OBJECTIVES: To investigate whether beliefs about asthma medication, cognitive and emotional factors are related to poor asthma control in a sample of Latvian asthma patients in 2015. DESIGN: Cross-sectional, self-administered survey. SUBJECTS: Three hundred and fifty two asthma patients (mean age 57.5 years) attending outpatient pulmonologist consultations in Riga, Latvia during September 2013 to December 2015. The sample size was calculated to detect a prevalence of poor asthma control of 50% with a margin of error of 5% and a power of 95%. MAIN OUTCOME MEASURES: The validated Beliefs about Medication Questionnaire (BMQ) and the Brief Illness Perception Questionnaire (brief IPQ) were used. Good asthma control was assessed using the asthma control test (ACT), a validated five-item scale that reliably assesses asthma control over a recall period of four weeks. Logistic regression models were used to predict poor asthma control. RESULTS: Patients who had a good control of asthma medication (OR 0.70; 95% CI 0.61-0.79) or were confident that their asthma medication improves illness (OR 0.84; 95% CI 0.74-0.95) had a reduced risk of poor asthma control. The more symptoms (OR 1.63; 95% CI 1.44-1.84) the asthma patients perceived or the more their illness affects their life, the higher the probability of poor asthma control (OR 1.47; 95% CI 1.31-1.65). Some beliefs of necessity and concerns of asthma medication were also statistically significantly related to poor asthma control. CONCLUSIONS: Beliefs of necessity of asthma medication, cognitive and emotional illness perception factors correlate well with poor asthma control in Latvian patients.

Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project.

Predictions of hospital beds occupancy depends on hospital admission rates and the length of stay (LoS) according to bed type (general ward -GW- and intensive care unit -ICU- beds). The objective of this study was to describe the LoS of COVID-19 hospital patients in Colombia during 2020-2021. Accelerated failure time models were used to estimate the LoS distribution according to each bed type and throughout each bed pathway. Acceleration factors and 95% confidence intervals were calculated to measure the effect on LoS of the outcome, sex, age, admission period during the epidemic (i.e., epidemic waves, peaks or valleys, and before/after vaccination period), and patients geographic origin. Most of the admitted COVID-19 patients occupied just a GW bed. Recovered patients spent more time in the GW and ICU beds than deceased patients. Men had longer LoS than women. In general, the LoS increased with age. Finally, the LoS varied along epidemic waves. It was lower in epidemic valleys than peaks, and decreased after vaccinations began in Colombia. Our study highlights the necessity of analyzing local data on hospital admission rates and LoS to design strategies to prioritize hospital beds resources during the current and future pandemics.

Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.

Socioeconomic disparities play an important role in the development of severe clinical outcomes including deaths from COVID-19. However, the current scientific evidence in regard the association between measures of poverty and COVID-19 mortality in hospitalized patients is scant. The objective of this study was to investigate whether there is an association between the Colombian Multidimensional Poverty Index (CMPI) and mortality from COVID-19 in hospitalized patients in Colombia from May 1, 2020 to August 15, 2021. This was an ecological study using individual data on hospitalized patients from the National Institute of Health of Colombia (INS), and municipal level data from the High-Cost Account and the National Administrative Department of Statistics. The main outcome variable was mortality due to COVID-19. The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%-20%), (ii) level II (20%-40%), (iii) level III (40%-60%), (iv) level IV (60%-80%); and (v) level V (80%-100%). The higher the level, the higher the level of multidimensional poverty. A Bayesian multilevel logistic regression model was applied to estimate Odds Ratio (OR) and their corresponding 95% credible intervals (CI). In addition, a subgroup analysis was performed according to the epidemiological COVID-19 waves using the same model. The odds for dying from COVID-19 was 1.46 (95% CI 1.4-1.53) for level II, 1.41 (95% CI 1.33-1.49) for level III and 1.70 (95% CI 1.54-1.89) for level IV hospitalized COVID-19 patients compared with the least poor patients (CMPI level I). In addition, age and male sex also increased mortality in COVID-19 hospitalized patients. Patients between 26 and 50 years-of-age had 4.17-fold increased odds (95% CI 4.07-4.3) of death compared with younger than 26-years-old patients. The corresponding for 51-75 years-old patients and those above the age of 75 years were 9.17 (95% CI 8.93-9.41) and 17.1 (95% CI 16.63-17.56), respectively. Finally, the odds of death from COVID-19 in hospitalized patients gradually decreased as the pandemic evolved. In conclusion, socioeconomic disparities were a major risk factor for mortality in patients hospitalized for COVID-19 in Colombia.

Type 1 and type 2 diabetes mellitus: Clinical outcomes due to COVID-19. Protocol of a systematic literature review.

INTRODUCTION: Diabetes has been associated with an increased risk of complications in patients with COVID-19. Most studies do not differentiate between patients with type 1 and type 2 diabetes, which correspond to two pathophysiological distinct diseases that could represent different degrees of clinical compromise. OBJECTIVE: To identify if there are differences in the clinical outcomes of patients with COVID-19 and diabetes (type 1 and type 2) compared to patients with COVID-19 without diabetes. METHODS: Observational studies of patients with COVID-19 and diabetes (both type 1 and type 2) will be included without restriction of geographic region, gender or age, whose outcome is hospitalization, admission to intensive care unit or mortality compared to patients without diabetes. Two authors will independently perform selection, data extraction, and quality assessment, and a third reviewer will resolve discrepancies. The data will be synthesized regarding the sociodemographic and clinical characteristics of patients with diabetes and without diabetes accompanied by the measure of association for the outcomes. The data will be synthesized regarding the sociodemographic and clinical characteristics of patients with diabetes and without diabetes accompanied by the measure of association for the outcomes. EXPECTED RESULTS: Update the evidence regarding the risk of complications in diabetic patients with COVID-19 and in turn synthesize the information available regarding type 1 and type 2 diabetes mellitus, to provide keys to a better understanding of the pathophysiology of diabetics. SYSTEMATIC REVIEW REGISTRY: This study was registered at the International Prospective Registry for Systematic Reviews (PROSPERO)-CRD42021231942.

Factors related to poor adherence in Latvian asthma patients.

BACKGROUND: The problem of nonadherence to therapy is a key reason of insufficient asthma control. Evaluating the beliefs about asthma medication, cognitive and emotional perceptions may help to identify patients with poor adherence to treatment in clinical practice which need additional attention in order to increase the likelihood of them taking their asthma medication according to the prescribed treatment protocol. The purpose of this study is to assess whether beliefs about asthma medication, cognitive and emotional factors are related to poor treatment adherence of asthma medication in a sample of asthma patients in Latvia. METHODS: Study subjects were asthma patients attending outpatient pulmonologist consultations in Latvia during September 2013 to December 2015. Beliefs about asthma medicine, cognitive and emotional factors related to asthma were determined in a cross-sectional, self-administered survey. The validated Beliefs about Medicines Questionnaire (BMQ) and the Brief Illness Perception Questionnaire (brief IPQ) were used. Treatment adherence was assessed using 5-item version of the Medication Adherence Reporting Scale (MARS). The total sample size was 352 patients. Logistic regression models were used to predict poor adherence to asthma treatment. The validity of each logistic regression model was assessed by the Hosmer/Lemeshow test. The main outcome measure was self-reported adherence to treatment. RESULTS: The more the patients agreed with the statement "My future health depends on my asthma medication" the lower the possibility of poor adherence to asthma treatment (OR 0.42; 95% CI 0.24-0.74). The more concerned the patients were in regard to long-term effects of their medication (OR 2; 95% CI 1.22-3.27), the higher the probability of poor treatment adherence. CONCLUSIONS: Screening asthma patients using the BMQ may help to identify those to benefit from interventions targeting their concerns and medication beliefs in order to improve adherence to asthma medication.

Factors related to good asthma control using different medical adherence scales in Latvian asthma patients: an observational study.

One of the main challenges in asthma control is adherence to pharmaceutical treatment. The aim of this study was to test the association between adherence to asthma medication, control and medical beliefs, cognitive and emotional perceptions using three different validated questionnaires. Beliefs about asthma medicine, cognitive and emotional factors were determined in a cross-sectional survey of patients attending outpatient pulmonologist practices in Latvia (n = 352). The validated Beliefs about Medicines Questionnaire and the Brief Illness Perception Questionnaire were used. Adherence to asthma medication was assessed using the Morisky Medication Adherence Scale and two different versions of the Medication Adherence Reporting Scale. Several questions about necessity or concerns related to pharmaceutical treatment were able to predict poor adherence according to the Morisky scale. If the patient felt that without the asthma medication his life would be impossible, his risk to have poor treatment adherence was 46% reduced (odds ratio 0.54; 95% confidence interval 0.33-0.89). Furthermore, asthma patients who were convinced that their health depends on the asthma treatment were less likely to have poor treatment adherence (odds ratio 0.56: 95% confidence interval 0.32-0.97). In case the patient was concerned by the need to constantly use asthma medication or sometimes concerned by long-term effects of asthma medication the odds of poor treatment adherence were 1.96 (95% confidence interval 1.19-3.24) and 2.43 (95% confidence interval 1.45-4.08), respectively. In conclusion, medication beliefs, particularly concerns and necessity of asthma treatment were associated with poor treatment adherence when assessed with the Morisky or 5-item Medication Adherence Reporting Scale. ASTHMA TREATMENT: INVESTIGATING POOR ADHERENCE IN THE LATVIAN POPULATION: Concerns about treatment necessity and uses of asthma medication are key factors influencing poor treatment adherence in Latvia. There are multiple psychological and behavioral reasons why patients do not adhere to asthma treatment courses, including social and religious beliefs, and perceptions of chronic illness. Patient questionnaires and 'adherence scales' can help predict whether patients are likely to follow advice, but their efficacy differs for individual nations. Dins Smits at Riga Stradins University, Latvia, and co-workers analyzed responses to three questionnaires completed by 352 asthma patients to assess treatment perceptions and the best questionnaire option for the Latvian population. Concerns about the use of asthma medication and beliefs about treatment necessity were key factors in poor adherence. These were picked up by the Morisky and MARS 5-item scales, which the authors recommend for future use.

A Colombian diabetes risk score for detecting undiagnosed diabetes and impaired glucose regulation.

AIMS: (i) To develop a diabetes mellitus risk score model for the Colombian population (ColDRISC); and (ii) to evaluate the accuracy of the ColDRISC unknown Type 2 diabetes mellitus METHODS: Cross-sectional screening study of the 18-74 years-old population of a health-care insurance company (n=2060) in northern Colombia. Lifestyle habits and risk factors for diabetes mellitus were assessed by an interview using a questionnaire consisting of information regarding sociodemographic factors, history of diabetes mellitus, tobacco consumption, hypertension, nutritional and physical activity habits. Anthropometric measurements and an oral glucose tolerance test were taken. The sensitivity and the specificity, receiver-operating characteristic (ROC) curves, were calculated for the ColDRISC and FINDRISC. RESULTS: The area under the ROC curve for unknown Type 2 diabetes mellitus was 0.74 (95% CI: 0.70-0.79) for the ColDRISC and 0.73 for the FINDRISC (95% confidence intervals [CI] 0.69-0.78). Using the risk score cutoff value of 4 in the ColDRISC to detect Type 2 diabetes mellitus resulted in a sensitivity of 73% and specificity of 67%. CONCLUSIONS: The characteristics of the ColDRISC show that it can be used as a simple, safe, and inexpensive test to identify people at high risk for Type 2 diabetes mellitus in Colombia.