HSYP817: Evaluating a Mobile App for Sun Protection in Sydney

This report evaluates a smartphone mobile application designed to provide personalized, real-time advice on sun protection, particularly for younger adults in Sydney. The study employs a quantitative methodology, incorporating primary and secondary data collection, with a focus on assessing the application's impact on sun protection practices, sunburn prevalence, and related factors. The evaluation considers various factors, including the application of electronic medication management systems (eMM), user engagement, and potential improvements in clinical workflows. The expected outcomes involve enhanced sun protection behaviors, reduced sunburn rates, and optimized communication between healthcare professionals. The findings aim to contribute to the improvement of eMM systems and the development of effective strategies for skin cancer prevention through mobile health interventions. Desklib provides access to this assignment and many other solved assignments for students.

PROGRAM PLANNING AND EVALUATION IN PUBLIC
HEALTH
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Table of Contents
Introduction................................................................................................................................3
Aim.............................................................................................................................................3
Methodology..............................................................................................................................3
Factors impact on how the mobile application is used...............................................................4
Evaluation of the factors............................................................................................................4
Expected results..........................................................................................................................5
Outcomes of findings.................................................................................................................5
Conclusion..................................................................................................................................6
Reference List............................................................................................................................7
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Introduction
Mobile applications and smart phones are transforming the health communication platform of
Sydney, significantly for younger adults who are less than 30. It has been seen that mobile
phone involvement has enhanced preventive behaviours, involving sunscreen utilization. In
fact, smart phones can treat involving, real-time guidance in the multimedia showcases,
personalized, utilizing enlarged computing strength and data as well as location services. In
this study,
Aim
The aim of this study is to contribute the users with advice and information to enhance sun
protection. With the help of this study, it can be conducted the first assessment of the mobile
application which contributed sun protection guidance in order to minimize the challenge of
skin cancer. This is to compare and quantify the time nurses and doctors spent care user,
interaction and medication based activities after and before eMM institution.
This is hypothesized that the mobile application may maximize sun protection practices and
reduces sunburn prevalence by enhancing outcome intentions, expectations and self-efficacy
and sun protection norms.
Methodology
The quantitative methodology will be taken in order to attempt this research work. In fact,
both the primary and secondary data collection procedure will be taken.
Sample for a series for the efforts of formative research is hired from 3 populations, these are
as follows:
● Adults with children who may maintain sun protection for themselves and for others.
● Adults of aged 40 years who may not be so much experienced with the applications of
mobile.
● Adults aged 19 to 39 years who may less to practice sun protection but may be much
experienced with the smart phones.
In addition, 4 units of 400 bed teaching care home in Sydney will be selected. 633 hours will
be taken for observation. The engaged persons will be hired by the project employee with the
aid of advertisements located in organizational lists and online communities. The participants
will be screened in order to secure they are appropriate as per the criteria for engaging within
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this project. This mainly indicates that they are at least 18 years or older than this and also
owned any smart phone. In fact, they need to download and use any mobile application as
well as are an expert in English. Moreover, the participants need to sign informed consent;
the protocols are needed to be approved. In fact, in order to conduct this work, some nurses
have been hired and also gathered data (1).
Factors impact on how the mobile application is used
The application of the electronic medication management system is not interlinked with
important changes in the proportion of time nurses and doctors expend on medication based
and direct patient care activities, relative to their employees on the control department. There
will no notably transformation in the proportions of time expended on medication based or
direct care activities medication errors result in frequent preventable suffer in the care homes.
eMM needs to assist in minimizing errors, but confirmation is restricted and even paediatric
medication management is complicated (2, 5).
Evaluation of the factors
The sun protection and sun exposure are evaluated with the validated open-ended actions
from the literature. The sun exposure is measured by informing participants to report the
number of durations and number of days spent in the sun in between 10 A.M and 4 PM.
The below table showcases the results and the data sources in conducting the research work.
Results Data sources
Rates of medication administration error The data will be gathered by observing the
nurses and reviewing the chart.
Suffer from errors Multidisciplinary panel and reviewing chart
Rates of prescribing error Reviewing chart by the pharmacists
Duration of stay Care home administrative information
Table 1: Methods
(Source: 3)
Most of the clinical information is mainly computerized as well as the usage of mobile
devices of doctors like tablets of Apple in order to access such data are enlarging in a fast
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way. In the phase of the intervention, pre-hospital ECGs are moved to a computer desktop
presented at the site of study. It is permitted the ED that is Emergency Department nurses to
cellular forward the images of ECG to the PDA of a cardiologist. The solar cell mobile
application seems to instigate the practices of sun protection, mainly while this is utilized.
Additionally, this is maximized the usage of shade. It can be said that the shade can
substantially minimize the exposure to solar UV radiation (5, 6).
Expected results
Results measures evaluated exposure to the sunburn prevalence, sun protection practices and
midday sun in the modest and baseline. The outcomes showcase that the concerns of
clinicians based on minimized productivity as well as time away from the direct clinical care
(7). Important enhancements are accomplished with minimizing in prescribing the rates of
error when management same structures of activity time distribution comparative to
colleagues on control departments. In fact, the applications of the minimized communications
between the nurses and doctors after eMMS application for safe medication administration
need to be an aim of future examination. The transformations are proportions of time
expended on communications and activities by duration, control or intervention profession
and group (8). The findings also pointed out which medication error prevention can be
assisted by pointing out issues of drug order errors and illegibility in transaction.
Outcomes of findings
This study will evaluate the data, in the paediatric setting, on the productivity of eMM system
in order to minimize medication errors as well as ADEs as well as contribute an evaluation of
the way systems influence on the performance of clinicians and the occurrences for the
serving of care to children. Moreover, the findings will be directly implemented in order to
improve the eMM system frame and performing procedures as well as ten examined with the
aid of the assessment of the improved eMM system at the 2nd paediatric care home. Such
outcomes will be specifically valuable for other care homes yet to begin applications.
The hospitals are busy and complicated locations engaging constant movements and shifts of
things and people which are dispensed within various locations at various times for the
diverse needs (9, 11). The user centred growth procedure made one mobile application which
served personalized real-time guidance which most of the adults in usability and focus groups
examined sessions pointed out may assist them maintain sun safety. Most of the users are
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desire to input the personal data in order to make tailored guidance, contributed this is not
required in a frequent manner ad this can be kept for later utilization. Care homes are
complicated as well as busy locations engaging constant moves as well as movement of
things and people which are dispensed within various locations at various times for immense
needs (10).
Conclusion
It can be concluded that the extent to which the mobile devices contribute advantages because
of the mobility has been notably under examined. The framework of mobile implemented in
this project is grounded in the reality of the daily life of clinical practices where people are
engaged in the constant activity of accomplishing the optimal mix of knowledge, resources
and individuals. The assessment frameworks which utilize both the primary and secondary
qualitative approaches are fast being established as well as examined for the clinical
informatics system growth.
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Reference List
[1] Coiera E. Guide to health informatics. CRC press; 2015 Mar 6.
[2] Currie LM. Evaluation frameworks for nursing informatics. International Journal of
Medical Informatics. 2005 Dec 1;74(11-12):908-16.
[3] Issel LM, Wells R. Health program planning and evaluation. Jones & Bartlett Learning;
2017 Aug 4.
[4] Keefe RH, Narine L, PhDº BD. Community health agency administrators' access to public
health data for program planning, evaluation, and grant. SOCIAL WORK IN HEALTH
CARE. 2017;56(2):65-77.
[5] Pernencar C, Sousa P, Frontini R, Martinho R, Runte D, Mendes D, Carvalho M.
Planning a health promotion program: Mobile app gamification as a tool to engage
adolescents. Procedia computer science. 2018 Jan 1;138:113-8.
Perrin KM. Essentials of planning and evaluation for public health. Jones & Bartlett
Learning; 2016 Sep 6.
[6] Rush B, Tremblay J, Brown D. Development of a needs-based planning model to estimate
required capacity of a substance use treatment system. Journal of Studies on Alcohol and
Drugs, Supplement. 2019 Jan 27(s18):51-63.
[7] Schwitters A, Lederer P, Zilversmit L, Gudo PS, Ramiro I, Cumba L, Mahagaja E,
Jobarteh K. Barriers to health care in rural Mozambique: a rapid ethnographic assessment of
planned mobile health clinics for ART. Global Health: Science and Practice. 2015 Mar
1;3(1):109-16.
[8] Stephenson T, Brewer D, Combs E, Koempel A, McHugh K. Experiential Learning:
Community Nutrition Class Field Trip to Rural Community With Associated Program
Planning. Journal of Nutrition Education and Behavior. 2018 Jul 1;50(7):S157-8.
[9] Westbrook JI, Li L, Georgiou A, Paoloni R, Cullen J. Impact of an electronic medication
management system on hospital doctors' and nurses' work: a controlled pre–post, time and
motion study. Journal of the American Medical Informatics Association. 2013 May
28;20(6):1150-8.
[10] MM, Kuljis J, Papazafeiropoulou A, Stergioulas LK. An evaluation framework for
Health Information Systems: human, organization and technology-fit factors (HOT-fit).
International journal of medical informatics. 2008 Jun 1;77(6):386-98.
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