ABSTRACT
BACKGROUND OBJECTIVES: High-altitude headache (HAH) and headache in acute mountain sickness (AMS) are common among lowlanders ascending to the high altitude and are often confused with one another. A pilot study was undertaken to analyze HAH and AMS cases in Indian lowlanders ascending to Leh city (3500 m) in western Himalayas. METHODS: A total number of 1228 Indian lowlanders, who ascended (fresh and re-inductees) by air and acclimatized, participated in this pilot study. The intensity of headache was assessed by the Visual Analogue Score. The parameters of HAH as per the International Classification of Headache Disorders-3 and 2018 Revised Lake Louise Questionnaire (LLQ) were used to differentiate HAH and AMS. RESULTS: Out of 1228 cases, 78 (6.4%) cases had headache, of which 24 (1.95%) cases were HAH only, 40 (3.25%) cases AMS only and 14 (1.14%) cases were defined as both HAH and AMS. There was a significant difference in heart rate [F (2,51) = (4.756), P =0.01] between these groups. It also showed a difference in the correlation between the parameters within the groups. The Odd's Ratio of AMS in fresh and re-inductees was found to be 4.5 and for HAH it was 4.33. INTERPRETATION CONCLUSIONS: The findings of this study suggest that LLQ has a tendency of overestimating AMS by including HAH cases. Furthermore differential parameters exhibit differences when AMS and HAH are considered separately. Re-inductees showed a lower incidence of HAH and AMS.
Subject(s)
Altitude Sickness , Humans , Altitude Sickness/complications , Altitude Sickness/diagnosis , Altitude Sickness/epidemiology , Altitude , Himalayas , Pilot Projects , Acute Disease , Headache/epidemiology , Headache/etiology , Surveys and QuestionnairesABSTRACT
BACKGROUND: The item analysis of multiple choice questions (MCQs) is an essential tool that can provide input on validity and reliability of items. It helps to identify items which can be revised or discarded, thus building a quality MCQ bank. METHODS: The study focussed on item analysis of 90 MCQs of three tests conducted for 150 first year Bachelor of Medicine and Bachelor of Surgery (MBBS) physiology students. The item analysis explored the difficulty index (DIF I) and discrimination index (DI) with distractor effectiveness (DE). Statistical analysis was performed by using MS Excel 2010 and SPSS, version 20.0. RESULTS: Of total 90 MCQs, the majority, that is, 74 (82%) MCQs had a good/acceptable level of difficulty with a mean DIF I of 55.32 ± 7.4 (mean ± SD), whereas seven (8%) were too difficult and nine (10%) were too easy. A total of 72 (80%) items had an excellent to acceptable DI and 18 (20%) had a poor DI with an overall mean DI of 0.31 ± 0.12. There was significant weak correlation between DIF I and DI (r = 0.140, p < .0001). The mean DE was 32.35 ± 31.3 with 73% functional distractors in all. The reliability measure of test items by Cronbach alpha was 0.85 and Kuder-Richardson Formula 20 was 0.71, which is good. The standard error of measurement was 1.22. CONCLUSION: Our study helped teachers identify good and ideal MCQs which can be part of the question bank for future and those MCQs which needed revision. We recommend that item analysis must be performed for all MCQ-based assessments to determine validity and reliability of the assessment.
