| Course | PU685 Issues and Concepts in Maternal and Child Health |
|---|---|
| Unit | Unit 5 |
| Paper type | Prenatal care access study |
| Length | About 1,130 words, 7 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | Master of Public Health (MPH) |
| Updated | October 2026 |
Free sample paper for PU685 Unit 5
Eighty-One Percent Within Half an Hour, Sixty-Two Beyond an Hour: A Unit 5 Prenatal Care Access Study Sorting 3,980 Rural Birth Certificates by Drive Time and Payer, and Saying What the Certificates Cannot See
[Student Name]
Purdue University Global
PU685: Issues and Concepts in Maternal and Child Health
Unit 5 Prenatal Care Access Study
[Instructor Name]
[Date]
The five-county region, its births and its drive times are composite; the measures, the data source limits and the research cited are real.
Question and Setting
The region's five counties hold about 61,000 residents and two hospitals with obstetric units, both in the eastern counties. Planners want to decide where to put a satellite prenatal clinic and whether to fund transportation. The study asks how timing and adequacy of prenatal care vary with drive time to the nearest obstetric unit and with payer, among the region's births in 2022 to 2024.
Methods
Data come from 3,980 birth certificates for residents, using the items for the month prenatal care began, the number of visits and the expected source of payment. Drive time from each mother's residential address to the nearest hospital with an obstetric unit was computed with a road network and grouped into under 30, 30 to 60 and over 60 minutes. Two measures were used: first-trimester entry, and the Adequacy of Prenatal Care Utilization index, which combines the timing of entry with the share of recommended visits received for the length of gestation and classifies care as adequate plus, adequate, intermediate or inadequate (Kotelchuck, 1994). Candidly, the source has limits. The month care began is reported at delivery, sometimes by the mother from memory and sometimes from the prenatal record, and completeness varies by hospital; in this region the item was missing for 2.6 percent of births, which were excluded. The certificate also cannot see pregnancies that did not end in a live birth, so women whose pregnancies ended earlier, possibly including some who had no care at all, are outside the study. National reports using the same items describe the same strengths and limits (Osterman & Martin, 2018). Birth certificates measure access only among women who reached a live birth, which means the study's worst figures are probably not the worst ones in the region.
Findings by Drive Time
1. Under 30 minutes: 2,310 births. First-trimester entry 80.9 percent. Care beginning in the third trimester or not at all, 3.1 percent. Adequate or adequate plus by the utilization index, 76.8 percent.
2. Thirty to 60 minutes: 1,090 births. First-trimester entry 73.0 percent. Late or no care 5.4 percent. Adequate or better 68.2 percent.
3. Over 60 minutes: 580 births. First-trimester entry 62.5 percent. Late or no care 9.4 percent. Adequate or better 55.9 percent.
The gradient is steady across all three measures. Women farthest from obstetric care were three times as likely as the closest group to begin care late or not at all.
Findings by Payer
1. Medicaid: 1,830 births, first-trimester entry 66.0 percent.
2. Private insurance: 2,000 births, first-trimester entry 88.1 percent.
3. Self-pay and other: 150 births, first-trimester entry 38.0 percent.
The Two Together
The far counties have more Medicaid births, so a simple comparison by distance partly measures payer and a comparison by payer partly measures distance. Crossing the two separates them. Among Medicaid births, first-trimester entry was 72.4 percent within 30 minutes, 63.0 percent at 30 to 60 and 54.1 percent beyond an hour. Among privately insured births, it was 90.3, 86.2 and 79.0 percent. Distance matters within each payer group, and payer matters at every distance. The lowest group, Medicaid births beyond an hour, began care in the first trimester barely half the time.
Pathways
Travel time. A visit that takes a two-hour round trip costs a working woman half a day, and the region has no public transit. National evidence shows what greater distance can mean: when a rural county lost its last hospital obstetric unit, the following year brought, in counties not adjacent to urban areas saw increases in births in hospitals without obstetric units, in out-of-hospital births and in preterm births (Kozhimannil et al., 2018). Appointment availability. The two obstetric practices report a three-week wait for a new obstetric visit, so a woman who calls at eight weeks may not be seen until eleven. Medicaid enrollment timing. Women who become eligible for Medicaid because of pregnancy often wait for enrollment before booking care. The state allows presumptive eligibility at qualified providers, but neither eastern practice is enrolled as one, and the western counties have no qualified provider at all.
What the Study Suggests
A satellite clinic in the far western county, staffed for prenatal care two days a week, would bring 580 births a year within 30 minutes. Enrolling both practices and the satellite as presumptive eligibility providers would address the enrollment delay. Transportation vouchers would help women who must still travel for ultrasound and delivery. The crossed results suggest the first two together would do more than either alone. Each option also carries a cost the planners can weigh: the satellite needs a clinician two days a week and a lease, enrollment as a presumptive eligibility provider needs mainly staff training, and vouchers cost little but help only women who already have an appointment.
What the Planners Should Watch After a Change
If the region opens a satellite clinic and enrolls presumptive eligibility providers, the same birth certificate measures can track the result, and the study recommends deciding now what success would look like. The clearest signal would be first-trimester entry among Medicaid births beyond an hour rising toward the level of Medicaid births within thirty minutes, from about 54 percent toward 72 percent, over two to three years. A second signal would be a fall in late or absent care in the far group from 9.4 percent toward the nearer groups' figures. Because annual counts in the far group are small, about 190 births a year, single-year changes will be noisy, so the planners should compare pooled two-year periods and report confidence intervals. A third measure, the wait for a first obstetric appointment, can be checked monthly by calling the practices as a new patient would, which gives an early warning long before the birth certificates catch up.
Limits
The study is cross-sectional and cannot show that distance causes later entry. Residential address at delivery may differ from address in early pregnancy. Adequacy indices penalize women whose care began late for reasons other than access, such as an unrecognized pregnancy. Finally, the study cannot count women who sought care and were turned away, which is precisely the experience planners most need to hear about, and a short survey at the region's emergency departments and family planning sites would add that missing view.
References
Kotelchuck, M. (1994). An evaluation of the Kessner Adequacy of Prenatal Care Index and a proposed Adequacy of Prenatal Care Utilization Index. American Journal of Public Health, 84(9), 1414-1420. https://doi.org/10.2105/AJPH.84.9.1414
Kozhimannil, K. B., Hung, P., Henning-Smith, C., Casey, M. M., & Prasad, S. (2018). Association between loss of hospital-based obstetric services and birth outcomes in rural counties in the United States. JAMA, 319(12), 1239-1247. https://doi.org/10.1001/jama.2018.1830
Osterman, M. J. K., & Martin, J. A. (2018). Timing and adequacy of prenatal care in the United States, 2016. National Vital Statistics Reports, 67(3). National Center for Health Statistics.
What the PU685 Unit 5 assignment asks for
The Unit 5 assignment usually asks you to study access to prenatal care in a defined population using available data, often birth certificates. State the question and setting, then describe the data and measures, such as first-trimester entry and an adequacy index, with honest limits. Present findings by at least two factors, for example geography and payer, and examine them together to separate their effects. Explain pathways that could link those factors to later care, citing evidence. Translate findings into options planners could act on, with costs where possible. Say how success would be monitored. Many prompts expect tables of findings followed by discussion. Avoid claiming that cross-sectional data prove causes.
How the PU 685 Unit 5 example is put together
The study opens with the region, its two obstetric hospitals and the planners' question. Methods describe the certificate items, the drive-time computation and the adequacy index, and admit two limits, with a highlighted line on pregnancies that never reached a live birth. Three numbered findings by drive time and three by payer follow. The crossed view, explained in a margin note, shows distance and payer each mattering within the other. Pathways cover travel time with national evidence on lost rural obstetric services, appointment waits and Medicaid enrollment timing. Suggestions with costs, a monitoring plan using pooled years and limits close the study. Each finding line pairs a percentage with its count, so a reader can see how small the far group is.
Reading the PU685 Unit 5 grading rubric
Grading for an access study typically rewards sound methods and careful interpretation. Points go to clear measures, an honest account of data limitations and findings presented accurately. Credit increases when two factors are examined jointly rather than separately, since confounding is the main analytic risk. Instructors value pathways supported by evidence and recommendations that follow from the findings. A monitoring plan with realistic targets and attention to small numbers shows applied judgment. Organization, readable tables and APA citations complete the rubric. Studies that infer causation from cross-sectional data, or that ignore what the data source omits, generally receive fewer points. Graders also check that the monitoring targets are achievable with the numbers actually available, which is why pooled years matter.
PU685 Unit 5 help from the desk
Many studies report access by one factor at a time and miss that the factors overlap, which can make geography look like insurance or the reverse. Cross them. Students also forget what birth certificates exclude, such as pregnancies that did not end in a live birth. Do not rely on first-trimester entry alone; add an adequacy measure. Avoid recommendations that do not match your findings, such as transportation alone when enrollment timing also matters. Plan how you will know whether a change worked. If your prompt supplies birth data or a region, send it and we will build the tables, crossed view and recommendations. Finally, keep the planners as your audience and end with choices they can fund.
Get a PU685 Unit 5 example written to your instructions
Share the population, place and data the PU685 Unit 5 assignment names; add the prompt and rubric, and note whether a birth certificate extract or a published county table is the source. Within 24-48 hours a free first custom sample defines its access measures exactly, uses every breakdown available, names who the data miss, and traces each gap to a pathway. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
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PU685 Unit 5 questions, answered
Is first-trimester entry enough to measure access in the PU685 Unit 5 study?
It is the most common measure and a useful one, but it says nothing about what follows the first visit. The example pairs it with the Adequacy of Prenatal Care Utilization index, which also counts visits against a recommended schedule. Where a prompt specifies one measure, the sample uses it and notes in a sentence what it leaves out.
What is a maternity care desert?
The March of Dimes uses the term for a county with no hospital or birth center offering obstetric care and no obstetric clinicians. Its reports have found that roughly a third of US counties meet that definition. The example checks the region's far counties against the definition rather than applying the label loosely.
How should the study treat women who received no prenatal care?
Carefully, because the group is small but telling. The example folds no-care births into the late-entry rate, since both counts are small, then discusses them on their own: an absence of any care can signal barriers other measures miss, such as unstable housing or fear of immigration consequences, which the study presents as possibilities rather than findings.
Where can I find a free PU685 Unit 5 sample paper?
The full Unit 5 access study, with findings by drive time and payer and the crossed view, is open on this page.
What does the Adequacy of Prenatal Care Utilization index measure?
It combines when prenatal care began with the share of recommended visits received for the length of pregnancy, classifying care as adequate plus, adequate, intermediate or inadequate.