Archana Ramalingam

Prevalence of self-medication practices and its associated factors in Urban Puducherry, India

Background and Objectives: Self medication is an important concern for health authorities at global level. This study was aimed to find the prevalence of self medication for allopathic drugs and associated factors among households of urban community. This study was also aimed at assessing the attitude of respondents who had experienced self-medication. Materials and Methods: This cross-sectional study was done in field practice area attached to a medical institution in urban Puducherry. A total of 352 subjects from 124 households were selected by random sampling. With pretested interview schedule, information regarding self-medication use in the past three months and associated sociodemographic factors, purpose, source of drug procurement, attitude toward self-medication use were collected. Results: Prevalence of self-medication was found to be 11.9%. Males, age >40 years and involving in moderate level activity of occupation, were found to be significantly associated with higher self-medication usage (P < 0.05). Fever (31%), headache (19%), and abdominal pain (16.7%) are most common illnesses where self-medication is being used. Telling the symptoms to pharmacist (38.1%) was the commonest method adopted to procure drugs by the users. Majority of the self-medication users expressed that self-medication is harmless (66.6%) and they are going to use (90%) and advice others also (73.8%) to use self-medication drugs. Conclusion: Self-medication is an important health issue in this area. Health education of the public and regulation of pharmacies may help in limiting the self-medication practices.

Self-directed learning readiness among fifth semester MBBS students in a teaching institution of South India

Background: Lifelong learning is a skill that must be acquired by medical graduates and proposes that students take the responsibility for learning process. The present study was carried out to measure readiness for self-directed learning among fifth semester MBBS studentsin a tertiary care teaching hospital. Methods: Readiness assessment was carried out among 87 fifth semester MBBS students using Fishers′ 40-item self-directed learning readiness score (SDLRS) instrument after taking informed written consent. A total of 40 items were classified into three domains: Self-management (9 items), desire for learning (16 items) and self-control (15 items). Institute scientific society and ethical committee clearance was obtained. The data were entered and analyzed using IBM-SPSS version 21. Chi-square test was used to elicit relationship between readiness assessment and gender, presence of a physician in family and area of residence. Results: Out of 87 students, 64 (73.5%) students consented to be assessed for readiness toward self-directed learning. The mean SDLRS score was 140.4 ± 24.4, with 19 students (30%) scoring more than 150 indicating high readiness.The mean scores in the three domains of self-management, desire for learning and self-control were 38.8 ± 9.8, 47.3 ± 6.9 and 54.3 ± 10.4, respectively. Males had a higher readiness for self-directed learning than females (P = 0.045). Discussion: Self-directed learning scores were lower among our MBBS students than reported elsewhere in the literature.

Is there a digital divide among school students? an exploratory study from Puducherry

Background: The advent of internet has triggered a growth in provision of more interactive health promotion messages, which are likely to enhance the potential for behavior change especially among children. We intended to find out the determinants and prevalence of use of internet among school students of Puducherry. Materials and Methods: An exploratory study was carried out among all the students belonging to the standards VI to IX (n = 421) in three schools from urban areas and two schools from rural areas of Puducherry. A pretested, self-administered questionnaire which sought information on sociodemographic details (age, gender, standard of education, occupation of father, and type of school), use of internet, and place of accessing internet, hours of use, and reasons for use was utilized. The statistical significance between the categorical variables was done using chi-square test. All significance tests were two-tailed and statistical significance was defined as a value of P < 0.05. Results: Majority (72.2%) were boys. Less than one-third (23.8%) of the students used internet. The use of internet was found to be significantly higher in mid-adolescents (Adjusted OR: 2.205); among boys (Adjusted OR: 3.835) and students from urban areas (Adjusted OR: 4.694). Conclusion: There is a geographical and gender divide observed among the school children in the use of internet. Taking the steps to bridging the digital divide will help utilize internet as a media for health promotion.

Morbidity profile and out of pocket health care expenditure among under five children of an urban area of Puducherry

Background: Information on out of pocket (OOP) health care expenditure is essential for health planning and devising strategies for Universal Health Coverage (UHC). Aims and objectives: To describe morbidity profile, treatment preferences and OOP expenditure toward health care of under five children in an urban primary health center of Puducherry. Materials and Methods: A cross-sectional study was conducted in four Anganwadi centers selected randomly from a total of 13 centers in the urban service area of JIPMER, Puducherry. All mothers of under five children from selected centers were interviewed regarding sociodemographic details, treatment preferences, and expenditure incurred on illness of under five children by the family for a period of 15 days and 3 months (exclusive of past 15 days) preceding the day of interview. Results: Among the 164 children studied, 23.8% and 30% reported illnesses in the past 15 days and 3 months, respectively. Most frequent illness reported was respiratory infections. Private facilities (60%) were the preferred sources for seeking health care. Median OOP expenditure in last 15 days was Rs. 375 and Rs. 450 for the past 3 months, amounting to 8% and 6.8% of the total family income, respectively. The majority of the health care expenditure was toward drugs (71%). No money was spent toward healthcare in government facilities. Conclusion: Almost all OOP health care expenditure was incurred when the illnesses were managed by private providers. Hence, strategies can be planned to include private providers under UHC.