10 research outputs found

    Self medication among elderly poses challenges in urban settings

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    Background: Self-medication can be defined as obtaining and consuming one (or more) drug(s) without the advice of a physician. Using over the counter medicine is a common practice in developing countries including India. Studies have shown relatively high rates of self-medication among elderly and suggested awareness programmes among this group. Objectives of current study are to determine the prevalence of self-medication among geriatric population and to educate them about self-medication by an interactive session.Methods This was a cross sectional, questionnaire based study to evaluate the prevalence of self-medication in geriatric population in senior citizen club of Adajan and Ghoddod area of Surat city. Questionnaires were designed and modified from previous studies. Written informed consent was taken from those willing to participate in the study. After filling of pre-questionnaire, an interactive session was arranged and post-questionnaire were given to all participants. Data obtained were subjected to statistical analysis.Results: Number of participants in present study was 100. Self-medication was most common in age group of 65 to 75 years (48%) followed by less than 65 years (33%). 85% participants reported having taken non-prescription drugs. Drugs commonly used for self-medication were analgesics (85) and antacids (80). Side effects due to self-medication were reported by 22 participants. Main reasons for self-medication cited were to save expenses (65) and to save time (62). Post study awareness increased to 98%.Conclusions: Prevalence of self-medication is high in elderly. Interactive session can increase awareness regarding self-medication

    Final logistic regression models predicting odds of academic success in math and Kannada from aerobic fitness (n = 273).

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    <p>Odds ratios are presented as point estimates (95% confidence interval) and are adjusted for school, gender, SES, and BMIZ. Academic success in math and Kannada is defined as a Z-score > 0.</p><p>*<i>P</i> < 0.05;</p><p>**<i>P</i> < 0.01;</p><p>***<i>P</i> < 0.001</p><p>Final logistic regression models predicting odds of academic success in math and Kannada from aerobic fitness (n = 273).</p

    Percentage of participants with above average academic performances by maximum speed reached on 20-m shuttle test.

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    <p>Scoring above average in math (solid triangle) and Kannada (solid square) was defined by an academic Z-score > 0. The initial speed of the 20-m shuttle was set at 4 km * h<sup>-1</sup> (1.11 m * s<sup>-1</sup>) and increased by 0.5 km * h<sup>-1</sup> (0.14 m * s<sup>-1</sup>) every minute. Academic Z-scores were adjusted for school, gender, and SES. The percentage of participants with above-average performances in math and Kannada increased as the maximum speed reached increased. The number of participants reaching the above maximum speeds is as follows: 7.0 or 7.5 km * hr<sup>-1</sup>, 22 students; 8.0 or 8.5 km * hr<sup>-1</sup>, 89 students; 9.0 or 9.5 km * hr<sup>-1</sup>, 109 students; 10.0 km * hr<sup>-1</sup> or greater, 53. Participants reaching maximum speeds of 10.0 km * hr<sup>-1</sup> or greater were grouped due to the relatively small number of participants who reached speeds above 10.0 km * hr<sup>-1</sup>. Values presented are adjusted mean±SE.</p

    Prevalence of micronutrient deficiencies (n = 268–273).

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    <p>Values are percentages (% deficient).</p><p><sup>a</sup> Analysis only for participants with CRP < 47.62 nmol * L<sup>-1</sup></p><p>Prevalence of micronutrient deficiencies (n = 268–273).</p

    Characteristics of participants (n = 273 unless stated otherwise).

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    <p>Values are percentages (number) for categorical data, median (Q1, Q3) for non-normally distributed data, and mean ± SD for normally distributed data.</p><p><sup>a</sup> n = 243</p><p>Characteristics of participants (n = 273 unless stated otherwise).</p

    Maternal mortality and the metempsychosis of user fees in Liberia: A mixed-methods analysis

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    ABSTRACT: Liberia, a country recently afflicted by civil conflict and an epidemic of Ebola virus disease, has one of the highest rates of maternal mortality in the world. A biosocial analysis of this problem can help identify and address barriers impeding access to, and equitable delivery of, quality maternal health care. We analyzed 258 maternal death reviews reported to the National Public Health Institute of Liberia in 2017 and compared data with existing demographic and health statistics. Quantitative information on maternal death was contextualized with 44 in-depth interviews conducted among four groups of study participants. Forty percent of reported maternal deaths in 2017 occurred among women 25–34 years old; 36% were due to hemorrhage; 74% occurred at a health facility; and 29% occurred within 24 h after delivery. The number of deaths reported to the government of Liberia through maternal death reviews (n = 258) was substantially lower than the number expected based on the size of the population, crude birth rate, and the maternal mortality ratio. Qualitative findings highlighted inaccessible and unreliable transportation to health facilities; staff-related challenges, including staff attrition and burnout, inadequate training and clinical proficiency, staff absences, and neglect of patients; a lack of drugs and medical supplies; and the emergence of an inefficient and financially burdensome system of referrals by trained traditional midwives. Most notable was the finding that user fees for maternal health care in Liberia—eliminated in public facilities after the war—have resurfaced in the form of informal, out-of-pocket expenditures made by patients and their families. Keywords: Maternal mortality, User fees, Liberia, Structural determinants, Health equit
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