Exploring Determinants of Seasonal Influenza Vaccination (2017-2018)

This report investigates the determinants of seasonal influenza vaccination among healthcare professionals in Australia during 2017-2018. The study employs primary research, utilizing an online questionnaire distributed to healthcare providers across the country. With an estimated 884 participants, the research aims to identify key factors influencing vaccination decisions. Convenience sampling is used to recruit respondents, leveraging online channels for efficient data collection. The report details the recruitment and enrollment process, emphasizing the use of experienced professionals and short questionnaires to maximize response rates. The findings contribute to understanding the factors affecting influenza vaccination uptake within the healthcare sector, providing valuable insights for public health initiatives. Desklib offers a platform to access this and many other solved assignments for students.

Running head: DETERMINANTS OF SEASONAL INFLUENZA VACCINATION DURING
2017-2018 1
“Determinants of Seasonal Influenza Vaccination during 2017 – 2018”
Name
Institution

DETERMINANTS OF SEASONAL INFLUENZA VACCINATION DURING 2017-2018 2
DETERMINANTS OF SEASONAL INFLUENZA VACCINATION DURING 2017-2018
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

DETERMINANTS OF SEASONAL INFLUENZA VACCINATION DURING 2017-2018 3
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

DETERMINANTS OF SEASONAL INFLUENZA VACCINATION DURING 2017-2018 4
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

DETERMINANTS OF SEASONAL INFLUENZA VACCINATION DURING 2017-2018 5
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.

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References
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vaccination coverage in children with risk conditions in Catalonia. Enfermedades
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Hayward, A. C. (2017). Influenza vaccination of healthcare workers is an important approach for
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Legge, A., Dodds, L., MacDonald, N. E., Scott, J., & McNeil, S. (2014). Rates and determinants
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Yeung, M. P., Lam, F. L., & Coker, R. (2016). Factors associated with the uptake of seasonal
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