Search results

Questionnaire studies of knowledge, attitude and practice (KAP) are effective research in the field of health, which have many shortcomings. The purpose of this research is to propose an automatic questionnaire-free method based on deep learning techniques to address the shortcomings of common methods. Next, the aim of this research is to use the proposed method with public comments on Twitter to get the gaps in KAP of people regarding COVID-19.

In this paper, two models are proposed to achieve the mentioned purposes, the first one for attitude and the other for people’s knowledge and practice. First, the authors collect some tweets from Twitter and label them. After that, the authors preprocess the collected textual data. Then, the text representation vector for each tweet is extracted using BERT-BiGRU or XLNet-GRU. Finally, for the knowledge and practice problem, a multi-label classifier with 16 classes representing health guidelines is proposed. Also, for the attitude problem, a multi-class classifier with three classes (positive, negative and neutral) is proposed.

Labeling quality has a direct relationship with the performance of the final model, the authors calculated the inter-rater reliability using the Krippendorf alpha coefficient, which shows the reliability of the assessment in both problems. In the problem of knowledge and practice, 87% and in the problem of people’s attitude, 95% agreement was reached. The high agreement obtained indicates the reliability of the dataset and warrants the assessment. The proposed models in both problems were evaluated with some metrics, which shows that both proposed models perform better than the common methods. Our analyses for KAP are more efficient than questionnaire methods. Our method has solved many shortcomings of questionnaires, the most important of which is increasing the speed of evaluation, increasing the studied population and receiving reliable opinions to get accurate results.

Our research is based on social network datasets. This data cannot provide the possibility to discover the public information of users definitively. Addressing this limitation can have a lot of complexity and little certainty, so in this research, the authors presented our final analysis independent of the public information of users.

Combining recurrent neural networks with methods based on the attention mechanism improves the performance of the model and solves the need for large training data. Also, using these methods is effective in the process of improving the implementation of KAP research and eliminating its shortcomings. These results can be used in other text processing tasks and cause their improvement. The results of the analysis on the attitude, practice and knowledge of people regarding the health guidelines lead to the effective planning and implementation of health decisions and interventions and required training by health institutions. The results of this research show the effective relationship between attitude, practice and knowledge. People are better at following health guidelines than being aware of COVID-19. Despite many tensions during the epidemic, most people still discuss the issue with a positive attitude.

To the best of our knowledge, so far, no text processing-based method has been proposed to perform KAP research. Also, our method benefits from the most valuable data of today’s era (i.e. social networks), which is the expression of people’s experiences, facts and free opinions. Therefore, our final analysis provides more realistic results.

The purpose of this study was to apply the OH-SMART approach on dengue vector control and assess the influence on knowledge, attitude, practice (KAP) amongst elementary students in Majalengka as well as check the dengue serotypes distribution.

This study was designed by sequential exploration. An OH-SMART workshop involving local government institutions, schools, colleges and health professional organizations was conducted. A total of 334 elementary students, chosen by cluster sampling, participated including 171 in the intervention group and 163 in the control group. A self-administered questionnaire was used to assess the differences in the subject's KAP. Dengue serotypes were analyzed by reverse transcription–polymerase chain reaction (RT-PCR), and the distribution was measured by GPS. Descriptive statistics, paired t-test and the Wilcoxon rank test were used for data analysis.

There were eight gaps in Dengue vector control in Majalengka and three main recommendations after the OH-SMART workshop i.e. the formation of OH-teams, the preparation of module training, and training of vector control in the schools. After the program, there were statistically significant differences between the intervention and control groups (p = 0,001, CI 95%). All differences in the intervention group were higher than in the control. The most commonly found dengue serotype was DEN-1.

OH-SMART has never been applied in Indonesia, especially in a local government setting but is recognized as an effective approach in the prevention of vector-borne disease and zoonotic.

This study examined the level of knowledge, attitudes and practices (KAP) of Jordanian dairy employees about coronavirus disease 2019 (COVID-19) characteristics and the effect of precautionary measures on food safety risk during the pandemic.

A cross-sectional study was conducted between Dec 17, 2020 and Feb 22, 2021, involving a total of 428 participants across 34 random chosen dairy facilities in Jordan. KAP related to COVID-19 were measured by 46 items, while 13 items were used to examine perceived notions regarding COVID-19 precautionary measures on food safety.

The results indicated that 32.2% of the respondents had sufficient knowledge, 60.3% had a good attitude, and 27.1% followed correct practices concerning COVID-19. Moreover, female respondents had higher total KAP scores of COVID-19 characteristics than males. Furthermore, older and more experienced respondents had higher total KAP scores than younger respondents. This study also observed that the total KAP scores were not affected by education, marital status, and job position. Characteristics and measures taken by the dairy industry were at large significantly associated with (p < 0.05) knowledge and practice of employees about COVID-19 attributes. Results of this study suggested that Jordanian dairy workers were not adequately aware about COVID-19.

No such study on dairy workers has been conducted previously to the best of the authors’ knowledge. Moreover, studies which analyse the association of industry response and characteristics on the KAP of employees are very limited.

The purpose of this study is to scrutinize the influence of individual learning styles on the effectiveness of augmented reality (AR)-based learning in structural engineering. There has been a lack of research examining the correlation between learning efficiency and learning style, particularly in the context of quantitatively assessing the efficacy of AR in structural engineering education.

Using Kolb’s experiential learning theory (ELT), a model that emphasizes learning through experience, students from the construction management department are assigned four learning styles (converging, assimilating, diverging and accommodating). Performance data were gathered, appraised, and compared through the three dimensions from the Knowledge, Attitude and Practices (KAP) survey model across four categories of Kolb’s learning styles in both text-graph (TG)-based and AR-based learning settings.

The findings indicate that AR-based materials positively impact structural engineering education by enhancing overall learning performance more than TG-based materials. It is also found that the learning style has a profound influence on learning effectiveness, with AR technology markedly improving the information retrieval processes, particularly for converging and assimilating learners, then diverging learners, with a less significant impact on accommodating learners.

These results corroborate prior research analyzing learners' outcomes with hypermedia and informational learning systems. It was found that learners with an “abstract” approach (convergers and assimilators) outperform those with a “concrete” approach (divergers and accommodators). This research emphasizes the importance of considering learning styles before integrating technologies into civil engineering education, thereby assisting software developers and educational institutions in creating more effective teaching materials tailored to specific learning styles.

This paper aims to explore surprising facets of consumer delight behavior. The study is the empirical juncture of three studies based on consumer survey on the Indian television market. Study 1 traces the existence of greenies in India among brownies prevailing around the globe by using the surprise-delight model. Study 2 is a pre-intervention research design confirming greenies preferences to television attributes such as screen technology, annual energy cost saving, screen resolution, screen size and free gifts. Study 3 signifies a price intervention design by allowing customers to include their preference by replacing the annual energy cost saving with price.

This paper is a harvest of studies based on discriminant analysis for identifying green and brown customers and a two-level conjoint analysis for identifying attributes contributing to green behavior.

The empirical generalization of a study comes out with unique findings of the greenies and brownies and their preference and attitude toward green attribution and substitution. A “preferential green shift” appeared as a vital output owing to knowledge–attitude–practice from these consecutive studies. This gap exists because of the price factor. The authors suggest the measures for improvement in product offering by targeting and positioning green products from the findings and the preferential green shift.

Future research may focus on other segments of products such as automobiles, i.e. cars. Despite the availability of the non-probabilistic sampling technique, the probabilistic sampling technique can be used. Finally, a larger sample size could have given a better generalization of results.

The gap in knowledge–attitude–practice was evident. This gap was caused by the presence of “price” concern. The study revealed that heavy consumer durable buyers are aware of the benefit of green, but the reality of price cannot be ignored and finally make a purchasing decision on the basis of price criteria. Hence price is recommended as another criterion to be considered in the technology acceptance models.

This research discloses the effect of religiosity on purchasing intention through serial-mediation paths in a halal-certified food context. Borrowing from the identity theory while supplemented by the theory of planned behaviour (TPB) and the knowledge–attitude–practice (KAP) theory, a 4-layered framework is developed to investigate such an issue.

264 questionnaires are collected in the field study conducted in Tunis, Tunisia. Quota sampling method is applied. Testing of the hypotheses is performed using partial least square analysis.

The findings reveal that religiosity affects the four mediators—awareness, trust, subjective norm and perceived behavioural control—which in turn affect attitude, and purchase intention towards halal-certified food is eventually aroused. These four serial-mediation paths are further proved to form the mechanisms.

The field study participants are limited to consumers in Tunis. Besides, a mechanism to collect the data from general public including lower educated consumers should be necessary.

This research is a pioneering work investigating the sequential intervening effect in the religiosity-intention relationship in halal-certified food. The authors provide unique and fruitful insights into this relatively untapped field for academia and firms.

The objective of this study was to analyze knowledge, attitudes and practices (KAP) on the sustainability in two populations of university students.

A cross-sectional analytical study with university students.

The scale employed showed remarkable psychometric properties of reproducibility and validity. Besides, KAP levels were found to be related in the studied population, with higher levels of knowledge and attitudes than those of practice. Knowledge was found to be related to educational cycle and age, attitudes with sex and age and practices with age.

This is one of the few studies in the field of KAP related to sustainability and environmental issues in using a validated psychometric scale. As a consequence, this study also offers methodological details necessary to make comparisons with similar populations in other countries.

People with food allergies rely to a great extent on restaurant staff to have a safe meal. The purpose of this paper is to acquire novel data to evaluate knowledge, attitudes and practices of food allergy among the restaurant's staff and factors that could be associated with these domains.

A cross-sectional study involving 306 restaurant staff in Amman City, Jordan was conducted using a validated self-reported questionnaire. Logistic regression analysis was performed to identify factors independently associated with knowledge, attitude and practices (KAP).

The results showed that most restaurant staff had moderate to excellent knowledge, positive attitudes, low to moderate risk practices regarding food allergy. Knowledge level was significantly associated with the staff's age, position, education level and restaurant class. Further, attitude level was significantly associated with staff age, experience, gender, education level, restaurant class and whether the restaurant held food safety certificates. Similarly, staff behavioral practices were significantly associated with staff position, restaurant class and the presence of valid food safety certificates.

This study suggests that more training for the staff in restaurants would be associated with a lower risk of providing unsafe meals.

This study demonstrated the need for the pre-employment theoretical and practical tests for restaurants’ staff to determine their knowledge level and provide them mandatory developing training programs to support and facilitate food allergy risk management and to develop food allergy policies.

Addressing overweight in the population is an important public health challenge. Use of social media such as Facebook has been proposed as a platform to deliver weight loss interventions to influence behavior change to tackle obesity. The purpose of this paper is to compare the effectiveness of weight loss education and support interventions delivered through online social media (experimental group) vs conventional method (control group).

The six-month experimental study comprised of a four-month intervention and a two-month follow up from May 2016 to October 2016. All faculties in a university were randomly selected into the experimental or control group. Then, undergraduate students (n=66) were randomly recruited from each faculty into the corresponding groups (experimental group=33 and control group=33). Both groups received health education and support services through either Facebook or the offline support system. The mean differences of main outcomes including body mass index (BMI) and waist to height ratio (WHtR) between groups at baseline and fourth month and baseline and sixth month were compared using t-test.

The results show those in the experimental group had significantly better outcomes in term of BMI and WHtR at the end of four-month intervention with the mean difference (95% CI) at 0.7 (0.1, 1.3) and 0.01 (0.00, 0.01), respectively. The differences at the end of the study, however, became insignificant.

The health education and support services through Facebook can be used in a weight loss promotion program for BMI and WHtR reduction. On a larger scale to replace conventional programs, a long-term continuous measure is needed.

Neonatal mortality rate is 24 deaths per 1,000 live births in Bangladesh and most of them die during early neonatal period. The purpose of this paper is to assess the knowledge and attitude of neonatal care practices among postnatal mothers in a tertiary care hospital in order to provide a basis for the development of strategies to improve further.

A cross-sectional study was carried out in the Dhaka Medical College Hospital, Bangladesh using a convenient sampling technique. In total 211 postnatal mothers were interviewed using a structured questionnaire and χ² test was used to analyze the data.

Among mothers, 37.9 percent were aged between 16–20 years; 16.1 percent had no institutional education; 55 percent were primipara and only 26.5 percent had attended antenatal visit for more than four times. Mothers had apparently good knowledge and attitude about thermoregulation, early initiation of breast-feeding, importance of providing colostrum to the newborn, exclusive breast-feeding (EBF) up to six months of age and immunization at birth. However, this study identified knowledge gap about cord care, eye care, first bathing and hygiene practices. Overall, only a small proportion of respondents had good level of knowledge (37 percent) and attitude (47.4 percent) on newborn care. Highly significant statistical association was found between the knowledge, attitude level and socio-demographic characteristics of respondents. Knowledge and attitude were strongly associated as well.

There is scope for improvement by providing health education to antenatal and postnatal mothers. Therefore, implementation of the guidelines outlined in the Maternal and Child Handbook (MCH) is highly recommended.

There is scope for improvement by providing health education to antenatal and postnatal mothers. Therefore, implementation of the guidelines outlined in the MCH is highly recommended to enhance the knowledge and attitude on newborn care among postnatal mothers.