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|
|
Number of new
diabetes cases
|
Rate of new
diabetes cases
Per 1,000 (unadjusted)
|
|
Total
|
||
|
20
years or older
|
1.7 million
|
7.8
|
|
By
Age
|
||
|
20-44
|
371,000
|
3.6
|
|
45-64
|
892,000
|
12.0
|
|
65
years or older
|
400,000
|
11.5
|
|
With
new mandates that are put in place for health care organizations through
Medicare and Medicaid, there are 15 parts of data that must be collected for
the first stage of meaningful use:
1. Must
use computerized physician order entry (CPOE) for >30% of unique patients
with at least one medication in their medication list
2. Drug-drug
and drug-allergy interaction must be enabled
3. E-Prescribe
for >40% of the permissible prescriptions
4. Record
demographics as structured for data for >50% of all unique patients seen
5. Maintain
an up-to-date problem list of current and active diagnoses
6. >80%
of all unique patients seen have at least one entry (or an indication that the
patient is not currently prescribed any medication) recorded as structured data
in the medication list
7. >80%
of all unique patients seen have at least one entry (or indication that the
patient has no known medication allergies) recorded as structured data in the
medication allergy list
8. >50%
of all patients age 2 and above are seen with the EHR have vital signs (height,
weight, and blood pressure) recorded as structured data
9. Record
>50% of patients smoking status for patients 13 years or older
10. Report
ambulatory clinical quality measure to CMS/States on all patients in EMR
11. Implement
one clinical decision support rule
12. Provide
>50% patients with an electronic copy of their own health information within
3 business days, upon request
13. Provide
>50% of patients with a clinical summary within 3 business days
14. Must
perform at least on test of electronic data exchange of key clinical information
15. Conduct
or review a security risk analysis and implement security updates as necessary
and correct identified security deficiencies (MedicalRecords.com, 2014).
With
data such as those listed above being monitored, disease prevention and risks
can be
tracked from a very
young age. Globally speaking, disease and illness can be reported to the CDC to
help show where a disease may have manifested and prevent in the further spread
of disease.
Statistics in health care can also be used to track the
amount of social media and networking done by health care consumers. In a
survey done in 2009, statistics showed:
- · 60 million consumers now use new media to share their health experiences online
- · 216 US hospitals use social media
- · 142 US hospitals have You Tube channels
- · 132 US hospitals maintain Twitter accounts
- · 83 US hospitals have Facebook pages
- · Approximately 1,200 Facebook communities advocate for cures for chronic illnesses
- · 72% of e-patients search for medical information right before or after a doctor’s visit
- · 93% of e-patients say the Internet has made it possible to get the medical information they need (Healthcare on Social Media News, 2009).
By
using statistics for tracking the use of consumers on social media and networking,
health care professionals
can track current health care trends for the population being served which is
how statistics for health sciences impacts society.
“All governmental data collection and release activities
are governed by rules, regulations, and legislative authorizations” (Bernstein,
& Sweeney, 2012). With rules, regulations, and legislative authorizations
put in place, only data that is permitted can be collected ensuring that
patient information is kept confidential. “Uses of data beyond those for
disease-monitoring purposes should be ethically justified and meet some minimal
standard for the data to be shared” (Bernstein & Sweeney, 2012). If
information that is deemed necessary is collected, but may be questionable in
the releasing of information, this should be taken into consideration before
this information and data is released. “For data collection processes in which
respondents have signed or signified that they consent to have their data
collected, analyzed, and released, data can only be used for purposes that the
respondents agreed to when consenting to provide data” (Bernstein &
Sweeney, 2012).
References:
Bernstein, A., &
Sweeney, M. (2012). Public health
surveillance data: Legal, policy, ethical,
regulatory, and practical issues. Centers
for Disease Control & Prevention. Retrieved
from http://www.cdc.gov/mmwr/preview/mmwrhtml/su6103a7.htm
Centers for Disease
Control & Prevention. (2014). National
diabetes statistics report, 2014.
Retrieved
from http://www.cdc.gov/diabetes/pubs/statsreport/14/national-diabetes-report-web.pdf
Healthcare on Social
Media News. (2009). Statistics: Social
media use by health care
consumers. Retrieved
from http://www.healthcareos.com/250/health-care-consumer-
social-media-statistics/
Imperial County Public
Health Department. Data & statistics.
Retrieved from
http://www.icphd.com/health-information-and-resources/data-%26-statistics/
MedicalRecords.com.
(2014). Required data collection for meaningful
use attestation. Retrieved
from http://www.medicalrecords.com/required-data-collection-for-meaningful-use-
attestation
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