Evaluating Quantitative Data Sources for a Community Health Profile

This discussion post focuses on identifying and utilizing quantitative data sources for community health profiles, addressing a scenario where an organization aims to provide free or reduced-cost inoculations and needs to assess the prevalence of infectious diseases. The assignment emphasizes the importance of assembling existing data, including national and international data, to demonstrate the specific needs of a local area. The author discusses the use of health documentation of program, which can provide detailed descriptions for the collection of other relevant information, program materials distribution, and the number of participants. Surveillance data is also highlighted as a form of quantitative data collection that contains behavioral risk factor surveillance system, which can help to know the behaviors of the populations that are quite difficult to come in contact by means of traditional survey. The author also references relevant studies and data sources, emphasizing the importance of these data sources in evaluating program effectiveness and enhancing communication between healthcare professionals and the community. The author also discusses the use of surveillance data, which can help to know the behaviors of the populations and the behavioral risks that is leading cause of the disease prevalence or morbidity of that particular community.

Running head: SOURCES AND USES OF QUANTITATIVE DATA
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SOURCES AND USES OF QUANTITATIVE DATA
Name of the student
Name of the University
Author note

SOURCES AND USES OF QUANTITATIVE DATA
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Answer to Constance Bartu
Another quantitative data source that can be used for the assessment is health
documentation of program (Asghari et al., 2016). This will provide detailed description for
collection of other relevant information. The different data sources can provide the idea of
program materials distribution. This will additionally help to know whether all people are
included in that program or not. This documentation will let to know the number of participants
that will serve the gain the knowledge about the willingness of the community about the devised
program. From the program documentation, the quality of care or improvements can be gathered
from the people (Vahedi et al., 2018). This data will support to know the effectiveness of the
planned program. Moreover, these data sources can involve electronic health data,
administrative data, outreach notes or referral practices. The health documentation program is
significant since it enables the continuation of care and it also enhances the communication
between the different healthcare professionals and the common people (Mathioudakis et al.,
2016). This will also help in evaluation of the entire process.
Answer to Trishana Ellis
Another form of quantitative data collection for the public health assessment will be
surveillance data (Dolley, 2018). It contains behavioral risk factor surveillance system. This data
will help to know the behaviors of the populations that are quite difficult to come in contact by
means of traditional survey. This survey system is normally performed by telephone. It consists
of another process that is youth risk behavior surveillance system. From this surveillance system,
stakeholders can get the idea of behavioral risk that is leading cause of the disease prevalence or
morbidity of that particular community. This data will additionally provide the information

SOURCES AND USES OF QUANTITATIVE DATA
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about the behaviors that is mostly performed by youth and adults and such as substance use,
consumption of unhealthy diets. This is relevant as all these will improve the overall health care
of that community (Common Data Types in Public Health Research | NIH Library, 2018).

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References
Asghari, Z., Mardanshahi, A., Farahabadi, E. B., Siamian, H., Gorji, A. M., Saravi, B. M.,
Rezazadeh, E., & Paymard, S. P. (2016). THE QUANTITATIVE STUDY OF THE
FACULTY MEMBERS PERFORMANCE IN DOCUMENTATION OF THE
MEDICAL RECORDS IN TEACHING HOSPITALS OF MAZANDARAN
UNIVERSITY OF MEDICAL SCIENCES. Materia socio-medica, 28(4), 292–297.
https://doi.org/10.5455/msm.2016.28.292-297
Common Data Types in Public Health Research | NIH Library. (2018). Surveillance Data | NIH
Library. Retrieved 27 March 2020, from
https://www.nihlibrary.nih.gov/resources/subject-guides/health-data-resources/
surveillance-data
Dolley S. (2018). Big Data's Role in Precision Public Health. Frontiers in public health, 6, 68.
https://doi.org/10.3389/fpubh.2018.000
Mathioudakis, A., Rousalova, I., Gagnat, A. A., Saad, N., & Hardavella, G. (2016). How to keep
good clinical records. Breathe (Sheffield, England), 12(4), 369–373.
https://doi.org/10.1183/20734735.018016
Vahedi, H. S., Mirfakhrai, M., Vahidi, E., & Saeedi, M. (2018). Impact of an educational
intervention on medical records documentation. World journal of emergency
medicine, 9(2), 136–140. https://doi.org/10.5847/wjem.j.1920-8642.2018.02.009