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1.
Artículo | IMSEAR | ID: sea-201371

RESUMEN

Background: India had about 8.6 crores elderly above 65 years in 2016. It is expected to increase to 17.9 crores by 2031 and 30.1 crores by 2051. This will increase the demand for health and other social security services. Hence, we decided to collect and analyze socio-demographic profile of inmates of an old age home (OAH).Methods: Cross sectional study was conducted at an old age home in North Maharashtra from 15th March 2008 to 30th April 2008 by questionnaires/interviews. Sample size was 100%.Results: There were total 40 inmates. 50% were aged 50-60 years. 27.5% (60-70 years), 17.5% (70-80 years) and 5% (80-90 years). Males were 52.5%, female- 47.5%. married- 50%, widow- 45% and unmarried- 5%. 30% were housewives, 27.5 % were labourers, 20% were businessmen, 10% were in government jobs, 7.5% were teachers and 5% were farmers. 40% inmates were childless, >4 children- 25%, 3 children- 17.5%, 2 children- 12.5% and 1 child-5%. 33 inmates’ children were literate while 7 inmates’ children were illiterate. Main causes of staying at OAH were family problems 50%, personal cause 45% and economical cause was 5%. Major health problems were locomotor disorder- 52.5%, cataract- 47.5%, hypertension- 17.5%, diabetes- 15%, genito-urinary problem- 7.5%, decreased hearing- 7.5%, IHD- 5% and respiratory problems- 2.5%. Dental health/problems included missing teeth- 65%, caries- 25%, discoloration- 22.5% and dentures- 20%. Literacy was 70%.Conclusions: Major medical/dental/social problems were locomotor, cataract, diabetes-mellitus, hypertension, tooth loss, caries, family disputes, poverty and childlessness.

2.
Artículo | IMSEAR | ID: sea-201287

RESUMEN

Background: Blue print is a scientific tool to set an examination question paper. In this study, an attempt has been made to know whether the MUHS MBBS community medicine theory examination papers (I and II) are representative of the MUHS syllabus.Methods: MUHS community medicine examination papers were collected from various sources. The syllabus is declared by MUHS for both the papers. I conveniently divided each paper syllabus into 14 divisions as per chapters given in Park’s Textbook of Preventing and Social Medicineand MUHS suggestions. A working guideline of ‘question paper analysis’ was framed and validated by fellow faculties. The question papers were grouped into 4 categories based upon the number of deficiency scores: good (0 to -1), fair (-2 to -3), unsatisfactory (-4 to -5) and poor (-6 and below).Results: In paper I (sections ‘B+C’), total 33/35 papers were analyzed. ‘Good papers’ were 7 (21%), ‘fair papers’ were 14 (42%), ‘unsatisfactory papers’ were 8 (24%) and ‘poor papers’ were 4 (12%). In paper II (sections ‘B+C’), total 33/35 papers were analyzed. ‘Good papers’ were 2 (6%), ‘fair papers’ were 17 (52%), ‘unsatisfactory papers’ were 9 (27%) and ‘poor papers’ were 5 (15%). MCQ papers (22/70) analysis showed that 13(59%) MCQ papers were good, 7(32%) were fair and 2 (9%) were unsatisfactory.Conclusions: The paper-setting at MUHS community medicine paper I and paper II is not appropriate for syllabus representation.

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