Aim: To identify levels of self-efficacy and foot care behaviour and their relationship with demographic characteristics in elderly patients with diabetes.
Methods: A cross-sectional study was conducted in two general hospitals in Malaysia from May to June 2015. Diabetes patients aged 60 years with specific inclusion criteria were invited to participate in this study. The respondents were interviewed using a set of validated questionnaires. Data were analysed with descriptive and inferential statistics (multiple linear regression) using Statistical Package for the Social Sciences version 20.0.
Results: Levels of foot self-efficacy (mean+31.39; standard deviation=7.76) and foot care behaviour (mean=25.37; SD=5.88) were high. There was a positive significant relationship between foot self-efficacy (β = 0.41, p < 0.001) and gender (β = 0.30, p < 0.001) with foot care behaviour.
Conclusion: Self-efficacy can be incorporated in diabetes education to improve foot care behaviour. High-risk patients should be taught proper foot inspection and protection as well as the merits of skin care to prevent the occurrence of diabetic foot problems.
METHOD: A quasi-experimental method with a randomised pre-test and post-test control group design was applied. Animated educational videos about anaemia prevention were used as the intervention. One hundred sixty-one female adolescents were recruited through multistage random sampling and divided into intervention (n=78) and control (n=83) groups. The intervention group received education via animated educational videos. The HBM questionnaire was used to measure the nine HBM indicators (r=0.8); the item categories were valid and reliable. Descriptive analyses, independent t-tests and repeated-measures ANOVA were used to analyse the data.
RESULTS: The animated educational videos played thrice significantly increased the knowledge of the intervention group (mean score: pre-test, 94; post-test one, 99; post-test two, 102). The scores for anaemia examination barriers (P=0.001), anaemia susceptibility (P=0.001), anaemia severity (P=0.001), anaemia prevention benefits (P=0.001), anaemia examination benefits (P=0.001), self-efficacy for obtaining iron tablets (P=0.001), self-recognition of anaemia signs and symptoms (P=0.001), signs of anaemia prevention (P=0.001) and health motivation (P=0.001) significantly changed. Meanwhile, the knowledge of the control group did not significantly increase (pre-test, 93; post-test one, 94; post-test two, 97). The intervention group had significantly higher mean scores in both the first and second measurements than the control group (P=0.05).
CONCLUSION: Animated educational videos significantly increased the knowledge of anaemia prevention, including the nine HBM indicators.
METHOD: This retrospective review included 407 antenatal mothers diagnosed with anaemia at 36±1 weeks of gestation at all 10 health clinics in Alor Gajah between January and December 2018.
RESULTS: According to the district annual returns, 2,407 antenatal mothers (36 weeks of gestation) were registered in the health clinics in Alor Gajah in 2018. Among them, the prevalence of anaemia was 18.6% (n=448). However, there were only 407 cards found. Most participants were Malays (89.4%), aged 20-40 years (93.6%) and married (96.3%). Almost all anaemia cases (96.5%) were mild (Hb level of 9-10.9 g/dL). Approximately 34.4% of the mothers were already anaemic at booking; 77.6% belonged to the B40 income group; and 31.6% had poor pregnancy spacing of <2 years. Iron deficiency anaemia was the most common type of anaemia (51.0%), followed by dilutional anaemia (34.0%), which did not normalise at 36 weeks of gestation. Anaemia was associated with lower educational (p<0.05) and Hb levels at booking (p<0.001).
CONCLUSION: Having normal maternal Hb levels in early pregnancy especially at booking is crucial, as it may reduce the possibility of anaemia during pregnancy. Early screening and supplementation of at-risk pregnancies may be applied as a preventive strategy. Suitable methods of iron treatment and investigation need further exploration.
METHOD: This cross-sectional study was conducted using 3-month secondary data from the Mawid application. The study included 3134 comments from 380,493 patients who visited 38 PHC centres in Riyadh and responded to the Mawid application evaluation questionnaire. Data were analysed using SPSS version 21.
RESULTS: Approximately 59.1% of the patients' comments were negative (patients' complaints); only 19%, positive; 8.40%, mixed; and 13.6%, unrelated. The patients' complaints (n=2969) were obtained from 380,493 patients within 3 months, yielding a complaint rate of 2.6 per 1000 attendances per month. The majority of the complaints (79.3%) were from patients visiting nonspecialised PHC centres. Approximately 59.1% of the complaints fell under the management domain; 23.6%, patient-staff relationship domain; and only 17.2%, clinical domain.
CONCLUSION: Management and interpersonal problems constituted the main patients' complaints in the PHC centres in Saudi Arabia. Therefore, future studies must clarify the reasons contributing to these complaints. Increasing the number of physicians, providing staff training and continuous auditing are mandatory to improve patients' experiences in PHC centres.
METHODS: This retrospective cohort study was conducted at 12 maternal and child health clinics. All children who failed M-CHAT screening at 18 and 36 months from January 2017 to December 2021 and received a final diagnosis before 31 March 2022 were recruited. All information required was recorded in a data collection form and analysed using SPSS. Multiple logistic regression was performed to assess the association between the factors and ASD status.
RESULTS: Eighty-two children failed M-CHAT screening. Fifty children did not receive a final diagnosis. Among 32 children who received a final diagnosis, 25 were diagnosed with ASD (78.1%). Among the children who underwent M-CHAT screening, the odds of having ASD increased by a factor of 1.2 for every 1-unit increase in age at final diagnosis.
CONCLUSION: In northeast district, Penang, more than half of children who fail M-CHAT screening have no final diagnosis. The specificity of the M-CHAT is 78.1% among children with a final diagnosis of ASD. The age at final diagnosis is positively associated with the diagnosis of ASD.