E-Health Literacy: Creating an Obesity Patient Education Brochure

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Added on  2023/05/30

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Practical Assignment
AI Summary
This assignment presents an e-health literacy brochure designed for obesity patient education, addressing the critical need to improve healthcare access and quality for obese individuals. The brochure aims to enhance patients' ability to navigate e-health resources by evaluating obesity risk factors such as lifestyle, food habits, and alcohol consumption. It emphasizes the importance of basic computer skills and internet usage for accessing online health information, including EHRs and mobile apps. The brochure also highlights community resources like public libraries and recreation centers that offer free computer access. It provides step-by-step instructions for accessing e-health resources and customizing user settings, referencing scholarly sources to support its content and rationale. This practical tool seeks to empower patients, promote patient-centered care, and reduce the prevalence of obesity through improved e-health literacy. Desklib offers this and many other solved assignments for students.
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1
EHEALTH LITERCY
Obesity and e-health
literacy:
Obesity is the leading
cause of the mortality rate
and cardiovascular disease
that enhances economic
burden (Zhu et al., 2015).
Therefore, in order to
resolve the issue and
reduce the prevalence of
disease, patient can be
provided the information
about health care sectors
are familiar with the
technology and therefore,
engagement of health care
professionals for
developing e-health
literacy is crucial in order
to reduce obesity. E health
used by approx 36% of the
individuals who were
experiencing transport
problem, emergency and
the women who are obese
and who are at high risk of
obesity (Ross et al., 2015).
they can creat their unique
identity in order to accesss
the E-health for their major
concerns.
figure : obesity
source: (Ross et al., 2016).
Patient experience:
Patient experience is the
key term for patient centric
Care. Since majority of the
individual are lack of
technological knowledge
and knowledge about
obesity , engagement of
patient e-health improves
quality of the care. This
brochure will help to
evaluate the risk factors of
obesity such as lifestyle,
food habits, and alcohol
consumptions (Ross et al.,
2017). This brochure can
be distributed to the every
park and health recreation
community centers for
reducing the prevalence of
the obesity and neighbour
(de Veer, et al., 2015).
figure : obesity
source: (de Veer, et al.,
2015).
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2
EHEALTH LITERCY
Patient’s ability to
perform basic
computer functions:
Developing skills
for basic functions
how to switch on
computer and
switch off
computer.
developing skills
for how to use
internet
developing skills
for accessing
Google
developing skills
for seeking intent
help for e health
literacy
Developing skills
for typing and
entering their
name.
Health contains
An EHR typically
includes information
such as:
o Medical history
o Laboratory test results
o Immunization status
o Patient demographics
o Medications and allergies
o Personal statistics like age
and weight
o Vital signs
o Progress notes and
problem details
o Radiology images
o Billing information
Steps of assessing
health :
go to Google
go to the e-health
mobile app
In the menu, click the
menu item ‘Claim’.
Change username
Change default
language
Change printing
option
Create Data Entry
Account
Then obtain important
information about
ehealth.
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3
EHEALTH LITERCY
references:
Ross, J., Stevenson, F., Lau, R., & Murray, E. (2016). Factors that influence the
implementation of e-health: a systematic review of systematic reviews (an
update). Implementation Science, 11(1), 146.
de Veer, A. J., Peeters, J. M., Brabers, A. E., Schellevis, F. G., Rademakers, J. J. J., &
Francke, A. L. (2015). Determinants of the intention to use e-Health by community
dwelling older people. BMC health services research, 15(1), 103.
Zhu, N., Diethe, T., Camplani, M., Tao, L., Burrows, A., Twomey, N., ... & Craddock, I.
(2015). Bridging e-health and the internet of things: The sphere project. IEEE
Intelligent Systems, 30(4), 39-46.
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