Search for Indicators
2023 CHNA Diabetes Data
Diabetes
COMMUNITY INPUT
PRIMARY DATA
• Diabetes is a major health challenge looping back to nutrition education
• Need for more specialty care, such as endocrinologists
More than 30 million people in the United States have diabetes, and it is the seventh leading cause of death. Some racial/ethnic minorities are more likely to have diabetes. And many people with diabetes do not know they have it. Poorly controlled or untreated diabetes can lead to leg or foot amputations, vision loss, and kidney damage. But interventions to help people manage diabetes can help reduce the risk of complications. In addition, strategies to help people who do not have diabetes eat healthier, get physical activity, and lose weight can help prevent new cases.
Primary Data
Survey respondents selected Diabetes (21%) as one of the important health problems in the community. Qualitative data showed that Black/African populations and people with low socioeconomic status were most affected by this health issue. Additionally, survey respondents chose “chronic disease management services” as a resource needed in the community. Key informants cited barriers regarding spreading awareness around healthy lifestyle and nutrition education as a contributing factor to an increase in Diabetes in the community.
There are so many people who don't know just the basics of nutrition education and it roots down to children. I speak for the older population, but in schools, they don't teach enough nutrition. And from my observations, and the parents too, you know, it's it kind of trickles down to the children and there's not a lot of resources in the country where you could meet with a dietitian or nutritionist to educate you more on making healthier food choices. And if there are, they're very hard to find. You have to kind of know what you're looking for to find those resources." - Key Informant
Secondary Data
From the secondary data scoring results, Diabetes ranked 1st in the data scoring of all topic areas with a score of 1.74. Further analysis was done to identify specific indicators of concern. Those indicators with high data scores (scoring at or above the threshold of 1.40) were categorized as indicators of concern and are listed in Table 11 of the CHNA. See Appendix A for the full list of indicators categorized within this topic.
Indicator Gauge Icon Legend
Legend Colors
Red is bad, green is good, blue is not statistically different/neutral.
Compared to Distribution
the value is in the best half of communities.
the value is in the 2nd worst quarter of communities.
the value is in the worst quarter of communities.
Compared to Target
meets target; 
does not meet target.
Compared to a Single Value
lower than the comparison value;
higher than the comparison value;
not statistically different from comparison value.
Trend
non-significant change over time; 
significant change over time; 
no change over time.
Compared to Prior Value
higher than the previous measurement period;
lower than the previous measurement period;
no statistically different change from previous measurement period.
Age-Adjusted ER Rate due to Diabetes
Value
Compared to:
Age-Adjusted ER Rate due to Diabetes County: Calvert
Age-Adjusted ER Rate due to Diabetes County: Calvert
273.6
ER Visits per 100,000 population
(2017)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties and county equivalents.
MD Value
(243.7)
The regional value is compared to the Maryland State value.
Prior Value
(235.6)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
Maryland SHIP 2017
(186.3)
<div><span>The Maryland SHIP 2017 Target is to reduce the rate of emergency room visits due to diabetes to 186.3 emergency room visits per 100,000 population.</span></div>
Age-Adjusted Hospitalization Rate due to Diabetes
Value
Compared to:
Age-Adjusted Hospitalization Rate due to Diabetes County: Calvert
Age-Adjusted Hospitalization Rate due to Diabetes County: Calvert
19.6
Hospitalizations per 10,000 population 18+ years
(2019-2021)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
MD Value
(19.1)
The regional value is compared to the Maryland State value.
Prior Value
(18.5)
Prior Value compares a measured value with the previously measured value. Confidence intervals were taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
Age-Adjusted Hospitalization Rate due to Long-Term Complications of Diabetes
Value
Compared to:
Age-Adjusted Hospitalization Rate due to Long-Term Complications of Diabetes County: Calvert
Age-Adjusted Hospitalization Rate due to Long-Term Complications of Diabetes County: Calvert
9.1
Hospitalizations per 10,000 population 18+ years
(2019-2021)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
MD Value
(8.9)
The regional value is compared to the Maryland State value.
Prior Value
(8.8)
Prior Value compares a measured value with the previously measured value. Confidence intervals were taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
Age-Adjusted Hospitalization Rate due to Short-Term Complications of Diabetes County: Calvert
Age-Adjusted Hospitalization Rate due to Short-Term Complications of Diabetes County: Calvert
7.8
Hospitalizations per 10,000 population 18+ years
(2019-2021)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
MD Value
(7.4)
The regional value is compared to the Maryland State value.
Prior Value
(7.5)
Prior Value compares a measured value with the previously measured value. Confidence intervals were taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
Age-Adjusted Hospitalization Rate due to Type 2 Diabetes
Value
Compared to:
Age-Adjusted Hospitalization Rate due to Type 2 Diabetes County: Calvert
Age-Adjusted Hospitalization Rate due to Type 2 Diabetes County: Calvert
12.7
Hospitalizations per 10,000 population 18+ years
(2019-2021)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
MD Value
(13.9)
The regional value is compared to the Maryland State value.
Prior Value
(11.7)
Prior Value compares a measured value with the previously measured value. Confidence intervals were taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
Diabetes: Medicare Population
Value
Compared to:
Diabetes: Medicare Population County: Calvert
Diabetes: Medicare Population County: Calvert
28.0%
(2022)
Compared to:
MD Counties
The distribution is based on data from 24 Maryland counties.
U.S. Counties
The distribution is based on data from 3,129 U.S. counties and county equivalents.
MD Value
(27.0%)
The regional value is compared to the Maryland State value.
US Value
(24.0%)
The regional value is compared to the national value.
Prior Value
(28.0%)
Prior Value compares a measured value with the previously measured value. Confidence intervals were not taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
Age-Adjusted Hospitalization Rate due to Uncontrolled Diabetes
Value
Compared to:
Age-Adjusted Hospitalization Rate due to Uncontrolled Diabetes County: Calvert
Age-Adjusted Hospitalization Rate due to Uncontrolled Diabetes County: Calvert
2.7
Hospitalizations per 10,000 population 18+ years
(2019-2021)
Compared to:
MD Counties
The distribution is based on data from 22 Maryland counties.
MD Value
(2.7)
The regional value is compared to the Maryland State value.
Prior Value
(2.2)
Prior Value compares a measured value with the previously measured value. Confidence intervals were taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
Adults with Diabetes
Value
Compared to:
Adults with Diabetes County: Calvert
Adults with Diabetes County: Calvert
12.0%
(2021)
Compared to:
MD Counties
The distribution is based on data from 23 Maryland counties and county equivalents.
MD Value
(9.8%)
The regional value is compared to the Maryland State value.
US Value
(10.9%)
The regional value is compared to the national value. The source for the national value is Behavioral Risk Factor Surveillance System
Prior Value
(9.8%)
Prior Value compares a measured value with the previously measured value. Confidence intervals were taken into account in determining the direction of the comparison.
Trend
This comparison measures the indicator’s values over multiple time periods.<br>The Mann-Kendall Test for Statistical Significance is used to evaluate the trend<br>over 4 to 10 periods of measure, subject to data availability and comparability.
