NM700 Part 2: Perinatal Health Assignment Latest 2024
Part 2. Perinatal Health Indicators Assignment
Soon, you will be a midwife serving your local community! To provide the best care to the women, childbearing people, and families within your community, you will have to understand the structural determinants that impact the health of individuals in your community. Structural determinants are “forces that influence health outcomes at levels above individual interactions” (Metzl & Hansen, 2014). Once you have this information, you will be better prepared to develop a plan to meet the needs of your community as a CNM.
By completing the Perinatal Health Assessment Assignment, you will:
Introduce your community and describe available reproductive health services, transportation options, birth options, employment options, insurance access, and community resources and services in your county.
Compile and compare demographic, educational, economic, and birth rate data for your county, state, and country.
Compile available resources for pregnant people and families in your community.
Consider how the above factors may impact local reproductive and perinatal health.
What to expect while completing the Community Assessment
You will need at least 30 hours to complete this assignment. Start early and give yourself ample time!
The assignment has many different components, and you will need to search for information via many different internet sites. Sometimes, a Google search is a good place to start.
Follow the assignment template, which includes headings for each section and a description of the expected content (in blue text). Ensure you address all the required content and remove the blue text with instructions before submitting your assignment.
You will need to create a key with superscripts to cite references used in some of your tables (Instructions are provided in the template)
USE THIS TEMPLATE
Perinatal Health in My Community
Steps for Completing This Assignment:
1. Describe your community, access to perinatal and reproductive health services, birth options, local transportation, and access to care as described in the template
2. Complete Maternal Child Health Indicators Table
Change table headings to reflect your county and your state
View example tables in the template provided above
Clearly indicate the year and source for each cell as a superscript, followed by a brief citation in a Key under your table. See the example table above.
All of the citations used for your table must be included on your APA reference page.
Superscripts should be in alphabetical order in the cells from left to right. To create a superscript in Word, highlight the text you want to change to a superscript and click the superscript button (it looks like x exponent 2). It is located in the Home tab, in the font group.
Use lowercase letters in your table key for citations from the same source and year. This will enable you to differentiate references from the same source and year.
MMR: Unless you live in a very large city (New York, LA, Detroit, etc.), you will not likely find the MMR for your county. For that cell, please insert N/A*. Then, in the key, list two credible sources where you searched unsuccessfully for that data. Do not try to calculate your county’s MMR. The denominator is too small.
Unavailable data: If you live in a rural area and are not able to find some data points for your community even after searching both national and state health data, then use a nearby county that does have data available. Use an asterisk * in the cell and describe in the key that you searched unsuccessfully for data for your county but have data for a nearby county.
Citing Healthy People 2030. See the Common ReferencesLinks to an external site.
3. Complete Local Health Disparity Table
Identify a local MCH disparity by displaying a correlation between one local demographic factor and one poorly performing local MCH indicator.
Identify a local (your county) MCH indicator (one of the 4–IMR, PTB, LBW, or EAPNC) that performs most poorly based either on the table or on disparity data that you find. Please do not use MMR as a local disparity.
If local data is unavailable, use state-level data for your disparity table and indicate 2 credible sources in the key where you searched unsuccessfully for county-level data.
Identify one subpopulation in your community with the poorest outcomes for your chosen MCH indicator. This could be but is not limited to race, ethnicity, income level, maternal age, maternal education, marital status, smoking, substance use disorder, maternal pregestational obesity, etc. (If your health disparity is not one of these, consider checking with your course faculty).
Search for evidence that a certain population of childbearing people has poorer outcomes than the general population for a particular indicator. This documented difference is then considered a health disparity in your community.
You must compare the data of your targeted sub-population to similar sub-populations to document that there is a disparity within your target group.
Example County Perinatal Indicator: High rates of low birth weight babies.
Example subpopulation with increased LBW: maternal age-teen mothers (hint: THIS is your disparity).
If you suspect that teen pregnancies are associated with low birth weight, then your documentation would include the following:
low birth weight rate for people aged 15-19
low birth weight rate for people aged 20-29, 30-39, and 40 and above.
What if you know a high percentage of a social demographic factor in your community but cannot find the data to show a correlation to a poorly performing MCH indicator in your county?
This problem might arise for those who live in small or rural communities with a lower population. If you cannot find a disparity for a perinatal health indicator in your county, you can create a disparity table with data from your state. Your table will be the same as the sample table in the template; however, instead of having a column for data in your local community (county), the column will be for data from your state. Make sure to choose a subpopulation that exists within your county. For example, don’t share data that American Indian people have a higher rate of preterm birth in your state if you don’t have an American Indian population in your county.
Example:
County Perinatal indicator: Low Birth Weight (LBW)
Performs the most poorly based on your table (even if lower than national or HP2030 goal)
Suspected disparity (your theory): LBW disparity for teens
You think there may be a link, but you can’t find local stats on teen pregnancy and LBW. Use state data to show that teen pregnancy is associated with increased rates of LBW at the state level. From that, you can infer that teens in your local county will also have a higher risk of LBW.
4. Complete Social Services Resource Tables
Provide social services, home health or home visiting programs, homeless shelters, and mental health services resources available in your community.
5. Response
Respond to these questions in 1- 2 paragraphs, considering what you’ve learned. All information should be factual (if you are guessing or assuming, you should say so), and data (with citation) should be used when it supports your statements.
Based on the data you collected, what is the most concerning indicator from Table 1 in your population as a whole? Why?
What did you learn when comparing different demographic groups in your community in your disparity table? Why did you choose this disparity?
Looking at the data and considering the information you gathered from your community assessment and this assignment, what social and/or structural factors may contribute to this disparity in your community?
6. Submit the Assignment
Place your completed assignment in the Dropbox for Assignment #8 by the due date.
Remember that all written assignments submitted electronically must be saved in Microsoft Word or google docs (.doc or .docx). Two points will be deducted for papers submitted in .pdf or other formats where faculty cannot make comments.
The post NM700 Part 2: Perinatal Health Assignment first appeared on Nursing StudyMasters.