NR 503 Week 4 Maternal Mortality Data Source Review Example

Population Health, Epidemiology and Statistical Principles Chamberlain University Free custom sample in 24 to 48h

One field on the US death certificate, the pregnancy status checkbox behind national maternal mortality figures, is followed in this NR 503 Week 4 sample paper, a data source review. Chamberlain NR 503 (NR-503), Population Health, Epidemiology and Statistical Principles, asks MSN students to examine how a health data source produces its numbers. The review starts with a question about whether maternal deaths in the writer's state have risen since 2018 among women over 35 and leaves the National Vital Statistics System's front page for its technical documentation, Hoyert and Miniño's 2020 report on coding changes. It describes the checkbox added in the 2003 revision, who fills it and when, evidence of error such as 797 women aged 40 and older marked as pregnant in 2013, how NCHS coding acts as a second author, what suppression of rates under 20 deaths removes and what the source can and cannot answer.

CourseNR 503 Population Health, Epidemiology and Statistical Principles
Week4
Paper typeData source review
LengthAbout 1,230 words, 3 pages
FormatAPA 7 student paper
SchoolChamberlain University
ProgramMSN
UpdatedOctober 2026

Free sample paper for NR 503 Week 4

1

One Field on the U.S. Death Certificate: The Pregnancy Status Checkbox Behind National Maternal Mortality Figures, Who Ticks It, How NCHS Recodes It, and What the Suppression Rule Hides

Student Name

College of Nursing, Chamberlain University

NR 503: Population Health, Epidemiology and Statistical Principles

Instructor Name

Month Day, Year

What this page is doingThe title names the source, the single field the review follows, the person who fills it and the coding step, so the reader knows the review goes past the front page. Student APA 7 title page.
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One Field on the U.S. Death Certificate: The Pregnancy Status Checkbox Behind National Maternal Mortality Figures, Who Ticks It, How NCHS Recodes It, and What the Suppression Rule Hides

The Question and the Source

My question is whether maternal deaths in my state have risen since 2018 and whether any rise is concentrated in women over 35. The source for official U.S. maternal mortality figures is the National Vital Statistics System (NVSS), run by the National Center for Health Statistics (NCHS), which compiles every death certificate filed in the states. The latest national report gives a maternal mortality rate for 2023 of 18.6 deaths per 100,000 live births, with the rate for women aged 40 and older at 59.8 (Hoyert, 2025).

A review that stopped there would describe the agency and quote the number. This one leaves the front page for the technical documentation, because my question depends on a single field on the death certificate, and the documentation is where that field's history, its errors and the way NCHS handles it are written down.

The Documentation, Not the Front Page

The key document is a 2020 NCHS report explaining how maternal deaths are coded and why the method changed in 2018 (Hoyert & Miniño, 2020). The rate page says only that a maternal death is one occurring during pregnancy or in the 42 days after it, caused or made worse by the pregnancy or its care, excluding accidents and incidental causes. The coding report explains how a death actually gets into that count, and it shows that the answer depends heavily on one item on the certificate.

The report also explains a gap that would otherwise puzzle anyone looking at the trend: NCHS published no official national maternal mortality rate between 2007 and 2018. The reason is that the checkbox was adopted state by state over about 14 years, and combining states that had it with states that did not produced an apparent rise that mainly reflected the rollout rather than any real change in deaths.

One Field, Chosen by the Question

The field is the pregnancy status checkbox, added to the U.S. Standard Certificate of Death in its 2003 revision. For a female decedent, the certifier indicates whether she was not pregnant within the past year, pregnant at the time of death, not pregnant but pregnant within 42 days of death, not pregnant but pregnant 43 days to one year before death, or unknown. The checkbox was added because earlier studies showed that cause-of-death statements alone missed many deaths linked to pregnancy (Hoyert & Miniño, 2020).

My question turns on this field for two reasons. First, the checkbox accounts for a large share of the deaths now counted as maternal. Second, and more important for my interest in older women, the errors in the checkbox are not spread evenly by age.

Who Fills It, and When

The checkbox is part of the medical certification of death, completed by the certifier: the attending physician, or a medical examiner or coroner when the death is referred to them. It is filled in after the death, often by a clinician who may not have known the woman well, may be completing several certificates at once, and may have no record of a pregnancy that ended months earlier in another facility. The report notes that the cause of the errors is unclear, but it describes a pattern consistent with certifiers selecting the wrong box.

The evidence for error is striking. In 2013 data, 797 deaths of women aged 40 and older were marked on the checkbox as pregnant at death or within the past year, including 147 women over 85. An internal NCHS analysis linking hospital records to death certificates in selected hospitals suggested false-positive rates of 54% and 56% for the checkbox in 2014 and 2016, though those hospitals were not nationally representative. Research in four states found that only 19% of decedents aged 45 to 49 with a positive checkbox had any other evidence of pregnancy (Hoyert & Miniño, 2020).

What this page is doingThe field is followed back to the person who fills it and the conditions under which it is filled, which is where its errors come from.
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Coding as a Second Author

The number that reaches the published rate is not simply what the certifier ticked. NCHS applies coding rules that decide how the checkbox is used, and those rules changed. Under the 2003 to 2017 method, any indication of pregnancy, including the checkbox alone, led to a maternal code for decedents aged 10 to 54. Under the 2018 method, the checkbox is applied only to decedents aged 10 to 44, and when the checkbox is the only indication of pregnancy on the certificate, the maternal code is assigned to the underlying cause alone (Hoyert & Miniño, 2020).

The coder is, in effect, a second author of the field. A 48-year-old woman whose certificate says only "pregnant within 42 days" on the checkbox, with no mention of pregnancy in the cause-of-death statement, was counted as a maternal death under the old method and is not counted under the new one. For my question about women over 35, this matters directly: a rise or fall in rates for women in their forties across the 2017 to 2018 boundary could reflect the coding change rather than any change in deaths. Comparisons have to use a single method across the whole period, and the report provides checkbox-free rates for some years for that purpose.

What Suppression Removes

The last feature of the source is what it chooses not to show. NCHS does not publish a mortality rate based on fewer than 20 deaths, replacing it with an asterisk, because such rates are statistically unreliable (Hoyert & Miniño, 2020). For national figures, this rarely matters. For my state, it matters a great deal. A state with a few dozen maternal deaths a year will have suppressed rates for most age groups and racial and ethnic groups in any single year, and the group I care most about, women aged 40 and older, is small.

Suppression protects against over-reading noisy numbers, but it also means that the source cannot answer my question for one year at a time. To get a stable rate for older women in my state, I would need to pool several years, and every year pooled must use the same coding method.

What the Source Can and Cannot Answer

NVSS can tell me the official maternal mortality rate for the nation and, pooled across years, for my state. It can tell me that the rate for women 40 and over is several times higher than for younger women. It cannot tell me, from the checkbox alone, how many of those older women's deaths were truly related to pregnancy, because the field's errors are concentrated in that age group, and it cannot give me reliable single-year rates for small groups.

For my question, the practical conclusion is to use NVSS rates only for 2018 onward, with the 2018 method throughout, to pool at least three years for any age-specific rate in my state, and to turn to my state's maternal mortality review committee, which examines each death individually, before concluding that pregnancy-related deaths among older women have truly risen.

References

Hoyert, D. L. (2025). Maternal mortality rates in the United States, 2023 (NCHS Health E-Stats). National Center for Health Statistics. https://doi.org/10.15620/cdc/174577

Hoyert, D. L., & Miniño, A. M. (2020). Maternal mortality in the United States: Changes in coding, publication, and data release, 2018. National Vital Statistics Reports, 69(2). National Center for Health Statistics.

Reading the NR 503 Week 4 instructions

The Week 4 review has you evaluate a data source used in population health. The instructions typically list the question, the source and its publisher, how data are collected and coded, strengths and limitations, what the source can answer and APA. Start with a specific question that depends on the source. Go past the front page to the technical documentation. Follow one field back to the person who fills it and the conditions under which they fill it. Explain any coding rules that change what the field means. Say what the publisher suppresses or does not show. End with practical rules for using the source to answer your question.

How the NR 503 Week 4 example is put together

The question section explains the writer's interest in state trends and older mothers and names NVSS as the official source. The documentation section uses Hoyert and Miniño to explain the 2018 coding change and why no national rate was published between 2007 and 2018. The field section describes the checkbox on the 2003 standard certificate and why it matters for older women. The certifier section explains that physicians, medical examiners or coroners complete it, often without pregnancy history, and reports the 797 implausible 2013 cases. The coding section explains how NCHS restricts use of the checkbox by age. The suppression section notes no rates from fewer than 20 deaths. The final section recommends using 2018 onward, pooling three years and labeling uncertainty.

NR 503 Week 4 rubric: what full points look like

The NR 503 data source rubric checks the question driving the review, how the source is described, analysis of collection and coding, strengths and limits, practical implications and APA. Analysis of collection is the row this review earns most fully, by following one field to the certifier and the coder. The question is credited because it determines what matters about the source. Description scores through the technical documentation rather than the front page. Limits earn points through documented errors and suppression rules. Implications are credited for specific rules for using the data. Hoyert's 2025 rates report and the 2020 coding report support the review. Two references complete APA.

Common NR 503 Week 4 mistakes, and how to avoid them

Reviewing the source without reaching a single field is where this week is lost: accurate paragraphs about an agency and nothing about how a number is made. Another loss is quoting a front-page rate without reading how it was coded. Students also list generic limitations, such as underreporting, without evidence, or ignore suppression. The source can be state or national if documentation exists. If you cannot get the file, review its documentation. Choose a field narrow enough to follow. Name the data source behind your question, and an NR 503 review can trace one field from form to published figure. Record the date you accessed any web page.

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NR 503 Week 4 questions, answered

Does the source have to be a national one?

Not usually. A state registry, a hospital discharge file or a local vital statistics release can all be reviewed properly, and smaller sources often publish clearer documentation. The requirement is documentation you can read: a source with a published codebook can be judged at field level, while a figure with nothing behind it leaves the review nothing to examine.

What if I cannot get access to the file itself?

Review it from its documentation, which is what most sections expect anyway. Codebooks, technical notes and release schedules stay public even where the records are restricted, and they carry the definitions, the collection method and the missingness rates. Where a restricted-use application would be needed to answer the question, say so, since that is part of what the source can and cannot supply.

How specific does the field have to be?

Specific enough to name. Race and ethnicity as recorded on a certificate, the underlying cause rather than everything listed alongside it, the address at diagnosis rather than the address today. A review that stays at the level of the file describes an institution; one that names a field can say what it will support and where it stops.

Where can I find a free NR 503 Week 4 sample paper?

This page shows the complete Week 4 review of the death certificate pregnancy checkbox, its certifiers, errors, coding rules, suppression, what the source can answer and two references.

Why does the NR 503 Week 4 review distrust checkbox data for older women?

Because certifiers often mark it without pregnancy history, and in 2013 data 797 women aged 40 and older were marked pregnant at or near death, many implausibly, before coding rules limited its use.