Sunday, May 3, 2020

Determinants of Seasonal Influenza Vaccination - myassignmenthelp

Question: Discuss about theDeterminants of Seasonal Influenza Vaccination. Answer: Population The target population is all healthcare professionals in Australian. The study will target every healthcare provider in Australia to undertake the research. Method: The primary research will be undertaken. The data collection tool or instrument will be an online questionnaire. The questionnaire will be sent to the participants of the study through online method. The online questionnaire will detail a set of questions which combine to form a questionnaire and will be uploaded online as a survey, then set to qualified respondents (healthcare professional) to be later analyzed for practical insights on the determinants of seasonal influenza vaccination during 2017 to 2018. The online questionnaire has been chosen for this research because they are not only seen to create but also easy to analyze. Estimated Number of Participants: It is estimated that 884 participants will take part in the study. These will be both male and female healthcare professionals. They will be drawn from the hospitals around the country. The required sample size (number of respondents needed) for this study will thus be 707 at the margin of error of 2% and CF of 95%. The estimated response rate will be eighty percent. From here, it is assumed that the population of the professional. Sampling The sampling will be convenience among the healthcare professionals. It will be characterized by the non-systematic to recruit the respondents who usually permit potential respondents to select themselves into the sample. It requires less time and effort to produce compared to probability samples. Thus convenience sampling is chosen here because to will save on costs. Convenience sampling is useful when the respondents are hard to access, but they can be reached through online channels like emails. The convenience sampling is suitable for this study because the web-based surveys have provided a platform for recruiting convenience samplings effectively. The volunteers will thus be readily pooled from a significant number of healthcare professionals of using online survey thus providing the researcher with on-demand access to extraordinarily inspired and motivated healthcare professionals from the various background at a reduced cost. The pool of respondent will hence permit for a large sample, heterogeneity as well as long-term respondent availability. Literature also supports the suitability of convenience sampling in social research. A convenience pool gives a sufficiently enormous number of motivated participants who are available on demand and throughout many survey waves when longitudinal research design is applied. The relative continuity of convenience pool has modified traditional convenience sampling thus permitting compelling exploration of the structures of the pool to render more transparency and knowledge regarding the underlying sample (Song et al., 2017). It is also appropriate in this survey mode because of the internet which provides a communication channel to send personalized messages to several receivers. This opportunity permits convenience pools at less cost and efforts. Because the survey mode is an online one, convenience sampling remains the best sampling technique. Moreover, convenience sampling allows for heterogeneity (Yeung, Lam Coker, 2016). It provides for demographic heterogeneity because when the participants are pooled from multiple homogenous samples, it is probably that such samples are different thus resulting in the pool of participants which is heterogeneous than the initial sample. Moreover, because this study uses a design that needs a large sample, it will benefit from the convenience pool. Even though the response speed from convenience sample seems to take some time, it is also true that such responses remain reliable. Recruitment and Enrollment Because this is a longitudinal research design capable of offering rich information, gathering data throughout the multiple surveys remains exemption instead of the rule in the social studies. Thus, to prevent the many problems including unavailability of the initial sample when a substantial time lag between waves is present, convenience pool will be the best recruitment option. Moreover, convenience pool is suitable because it will allow a follow-up measure following few days that might be lacking in a non-student convenience sample (Vila-Candel et al., 2016). A convenience pool is thus appropriate recruitment option because the respondents are available at a future date. Moreover, it will save the cost that would otherwise be required in the non-convenience sample as costs and efforts disproportionately surge as non-response is consequent wave needs a large initial sample. The convenience pool respondents learn from post-hoc info relating to experimental deception and summaries of results and also receive thanks for completing questionnaire and hence making convenience pool recruitment useful. Convenience pool recruitment renders better study because additional sample enriches research through a representative cross-section survey with the longitudinal data. Also, a sample from a convenience pool is appropriate because it allows for online questionnaires, heterogeneity, large sample size and multiple survey waves (Hayward, 2017). Having identified the convenience pool of potential recruits (healthcare professionals), their phone numbers and emails account will be gathered from this known pool. Then, the messages will be sent to them using the emails and phone numbers to ask for their consent to participate in the result (Gonzalez et al., 2015). Parallel to contact; they will not only be required to give their permission but also meet the screening (inclusion or exclusion criteria). Only those who have approval and meet the standards will be recruited and subsequently registered to take part in the study (Legge, Dodds, MacDonald, Scott McNeil, 2014). The information will thus be collected by emailing the respondents the questionnaire and asked to fill an email back within a week. They will be required to fill the questionnaires by themselves without any interference or suggestion by the researcher (Carrasco-Garrido et al., 2009). To maximize the response rate, only experienced professionals will be recruited because they will have been able to know how to give the responses without assistance that can make them wrongly respond against their wishes (Vila-Candel et al., 2016). Also, the response rate will be improved by use of short questionnaires. References Carrasco-Garrido, P., Lpez de Andrs, A., Hernndez-Barrera, V., Gil de Miguel, ., Jimnez-Garca, R. (2009). Patient's perceptions and information provided by the public health service are predictors for influenza vaccine uptake.Human vaccines,5(12), 839-842. Gonzalez, R., Campins, M., Rodrigo, J. A., Uriona, S., Vilca, L. M. (2015). Influenza vaccination coverage in children with risk conditions in Catalonia.Enfermedades infecciosas y microbiologia clinica,33(1), 22-26. Hayward, A. C. (2017). Influenza vaccination of healthcare workers is an important approach for reducing transmission of influenza from staff to vulnerable patients.PloS one,12(1), e0169023. Legge, A., Dodds, L., MacDonald, N. E., Scott, J., McNeil, S. (2014). Rates and determinants of seasonal influenza vaccination in pregnancy and association with neonatal outcomes.Canadian Medical Association Journal,186(4), E157-E164. Song, Y., Zhang, T., Chen, L., Yi, B., Hao, X., Zhou, S., ... Greene, C. (2017). Increasing seasonal influenza vaccination among high risk groups in China: Do community healthcare workers have a role to play?.Vaccine,35(33), 4060-4063. Vila-Candel, R., Navarro-Illana, P., Navarro-Illana, E., Castro Sanchez, E. M., Duke, K., Soriano-Vidal, F. J., ... Diez-Domingo, J. (2016). Determinants of seasonal influenza vaccination in pregnant women. A cross-sectional study in Valencia, Spain. Vila-Candel, R., Navarro-Illana, P., Navarro-Illana, E., Castro-Snchez, E., Duke, K., Soriano-Vidal, F. J., ... Dez-Domingo, J. (2016). Determinants of seasonal influenza vaccination in pregnant women in Valencia, Spain.BMC public health,16(1), 1173. Yeung, M. P., Lam, F. L., Coker, R. (2016). Factors associated with the uptake of seasonal influenza vaccination in adults: a systematic review.Journal of Public Health,38(4), 746-753.

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