Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Example Input: In Australia, adult immunisation coverage is primarily monitored via periodic telephone surveys that rely on self-reported immunisation status. All Australian residents are eligible for Medicare, so we examined the feasibility of using immunisation-specific Medicare Benefits Schedule (MBS) item numbers to monitor and estimate adult influenza immunisation coverage.', 'Baseline questionnaire data from 267 129 participants from the 45 and Up Study, a prospective cohort study, were linked to data containing information on individual MBS immunisation-specific items from 2006 to 2011. Temporal trends in recording of these items were examined. Self-reported influenza immunisation status obtained from a follow-up questionnaire from 27 036 participants was then compared with the MBS immunisation records.', 'From 2006 to 2011, the pattern of MBS immunisation claims was consistent with self-reported influenza immunisation trends, with annual peaks occurring from March to May. There was fair agreement between MBS immunisation records and self-reported influenza immunisation: 48.8% (95% CI 47.1, 50.4) of participants who self-reported influenza immunisation had a matching MBS record, and 79.6% (95% CI 78.8, 80.4) who reported never having influenza immunisation had no matching MBS record. However, compared with self-reported influenza vaccination for people aged 65 years from the 2009 Adult Immunisation Telephone Survey (74.6%), the proportion of participants aged >65 years with an MBS immunisation record was low, with an annual median of 39.3% (range 28.3%-62.1%).
Example Output: Do medicare Benefits Schedule data to monitor influenza immunisation in Australian adults?

Example Input: Accurate evaluation of the biological behavior of Gastrointestinal stromal tumor and careful selection of patients with a high risk for tumor recurrence are necessary. In the present study, we analyzed prognostic factors in patients with GIST.', 'A total of 214 patients who had undergone curative resection of a localized primary gastric GIST without adjuvant therapy were enrolled in this retrospective study. Prognostic factors were analyzed. The growth pattern was classified as intramural, endoluminal, exoluminal, or mixed- type.', 'On univariate and multivariate analyses, recurrence was predicted by exoluminal or mixed-type (hazard ratio [HR]=3.7, p=0.043), tumor size of >3.5 cm (HR=7.1, p=0.01), and mitotic rate of >5/50 high-power fields (HR=7.9, p<0.001).
Example Output: Is macroscopic type a prognostic factor for recurrence-free survival after resection of gastric GIST?

Example Input: To examine the association between dysglycaemia and multiple modifiable factors measured during pregnancy.', 'The Healthy Start Study collected self-reported data on modifiable factors in early and mid-pregnancy (median 17 and 27 weeks gestation, respectively) from 832 women. Women received one point for each modifiable factor for which they had optimum scores: diet quality (Healthy Eating Index score 64), physical activity level (estimated energy expenditure 170 metabolic equivalent task-h/week), and mental health status (Perceived Stress Scale score <6 and Edinburgh Postnatal Depression Scale score <13). Dysglycaemia during pregnancy was defined as an abnormal glucose challenge result, 1 abnormal results on an oral glucose tolerance test, or a clinical diagnosis of gestational diabetes. Logistic regression models estimated odds ratios for dysglycaemia as a function of each factor and the total score, adjusted for age, race/ethnicity, pre-pregnancy BMI, history of gestational diabetes, and family history of Type 2 diabetes.', 'In individual analyses, only physical activity was significantly associated with a reduced risk of dysglycaemia (adjusted odds ratio 0.67, 95% CI 0.44-1.00). We observed a significant, dose-response association between increasing numbers of optimal factors and odds of dysglycaemia (adjusted P=0.01). Compared with having no optimal modifiable factors, having all three was associated with a 73% reduced risk of dysglycaemia (adjusted odds ratio 0.27, 95% CI 0.08-0.95).
Example Output:
Are diet , physical activity and mental health status associated with dysglycaemia in pregnancy : the Healthy Start Study?