Floods are the most frequent natural disasters with a significant share of their mortality. Preparedness is capable of decreasing the mortality of floods by at least 50%. This paper aims to present the psychometric properties of a scale developed to evaluate the behavior of preparedness to floods in Sudan and similar settings.

In this methodological scale development study, experts assessed the content validity of the items of the developed scale. Data were collected from key persons of 413 households living in neighborhoods affected by the 2018 floods in Kassala City in Sudan. A pre-tested questionnaire of sociodemographic data and the Flood Preparedness Behavior Scale (FPBS) were distributed to the participants’ houses and recollected. Construct validity of the scale was checked using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Internal consistency of the scale was checked using Cronbach’s alpha. Test-retest reliability was assessed by Pearson’s correlation coefficient. Item analyses and tests of significance of the difference in the mean scores of the highest and lowest score groups were carried out to ensure discriminatory power of the scale items.

Experts agreed on the scale items. Construct validity of the scale was achieved using EFA by removing 34 items and retaining 25 items that were structured in three factors, named as: measures to be done before, during, and after a flood. Confirmatory factor analysis confirmed the construct obtained by EFA. The loadings of the items on their factors in both EFA and CFA were all > 0.3 with significant associations and acceptable fit indices obtained from CFA. The three factors were found to be reliable in terms of internal consistency (Cronbach’s alpha coefficients for all factors were > 0.7) and test-retest reliability coefficient. In item analysis, the corrected total item correlations for all the items were > 0.3, and significant differences in the means of the highest and lowest score groups indicated good item discrimination power.

The developed 25 items scale is an instrument which produces valid and reliable measures of preparedness behavior for floods in Sudan and similar settings.

The effect of minor orthopaedic day surgery (MiODS) on patient’s mood.

A prospective population-based cohort study of 148 consecutive patients with age above 18 and less than 65, an American Society of Anaesthesiology (ASA) score of 1, and the requirement of general anaesthesia (GA) were included. The Medical Outcomes Study – Short Form 36 (SF-36), Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI) were used pre- and post-operatively.

The mean physical component score of SF-36 before surgery was 45.3 (SD = ±10.1) and 8 weeks following surgery was 44.9 (SD = ±11.04) [n = 148, p = 0.51, 95% CI = (−1.03 to 1.52)]. For the measurement of the changes in mood using BDI, BAI and SF-36, latent construct modelling was employed to increase validity. The covariance between mood pre- and post-operatively (cov = 69.44) corresponded to a correlation coefficient, r = 0.88 indicating that patients suffering a greater number of mood symptoms before surgery continue to have a greater number of symptoms following surgery. When the latent mood constructs were permitted to have different means the model fitted well with χ2 (df = 1) = 0.86 for which p = 0.77, thus the null hypothesis that MiODS has no effect on patient mood was rejected.

MiODS affects patient mood which deteriorates at 8 weeks post-operatively regardless of the pre-operative patient mood state. More importantly patients suffering a greater number of mood symptoms before MiODS continue to have a greater number of symptoms following surgery.

Heat waves have significant impacts on mortality and morbidity. However, little is known regarding effects on pre-admission health outcomes such as ambulance attendances, particularly in subtropical regions.

This study investigated both main temperature effects and the added effects of heat waves on ambulance attendances in Brisbane, a subtropical city in Australia.

Daily data relating to 783,935 ambulance attendances, along with data on meteorological variables and air pollutants, were collected for the period 2000-2007. Ambient temperature (main) effects were assessed using a distributed lag nonlinear approach that accounted for delayed effects of temperature, while added heat wave effects were incorporated separately using a local heat wave definition. Effect estimates were obtained for total, cardiovascular and respiratory attendances, and different age groups.

Main effects of temperature were found for total attendances, which increased by 50.6% (95% CI, 32.3%-71.4%) for a 9.5°C increase above a reference temperature of 29°C. An added heat wave effect on total attendances was observed (18.8%; 95% CI, 6.5%-32.5%). Significant effects were found for both respiratory and cardiovascular attendances, particularly for those aged 65 and above.

Ambulance attendances can be significantly impacted by sustained periods of high temperatures, and are a valid source of early detection of the effects of extreme temperatures on the population. The planning of ambulance services may need to be adapted as a consequence of increasing numbers of heat waves in the future. Ambulance attendance data also should be utilized in the development of heat warning systems and climate change adaptation strategies.

TurnerLR, ConnellD, TongS. The Effect of Heat Waves on Ambulance Attendances in Brisbane, Australia. Prehosp Disaster Med. 2013;28(5):1-6.