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Query Results for Hawaiʻi Pregnancy Risk Assessment Monitoring System (PRAMS) Data - Infant - delivery type

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Query Criteria

Year Filter: 2020, 2021, 2022
Data Grouped By:County, Infant - delivery type

CountyHawaii CountyHonolulu CountyKauai CountyMaui County0.010.020.030.040.050.060.070.080.0Infant - delivery typeInfant - delivery type by County and Infant - delivery typeVaginal deliveryFirst c-sectionRepeat c-sectionVaginal delivery after c-section

Vaginal delivery

 1Vaginal deliveryHawaii County166.6%63.2%69.8%1,3002,000Stable
 1Vaginal deliveryHonolulu County271.7%69.0%74.3%7,80010,900Stable
 1Vaginal deliveryKauai County371.3%67.7%74.7%600800Stable
 1Vaginal deliveryMaui County467.7%64.2%71.0%1,1001,700Stable

First c-section

 2First c-sectionHawaii County118.5%16.0%21.4%4002,000Stable
 2First c-sectionHonolulu County217.7%15.6%19.9%1,90010,900Stable
 2First c-sectionKauai County312.2%9.9%14.9%100800Stable
 2First c-sectionMaui County416.7%14.2%19.6%3001,700Stable

Repeat c-section

 3Repeat c-sectionHawaii County113.5%11.3%16.0%3002,000Stable
 3Repeat c-sectionHonolulu County27.8%6.4%9.6%90010,900Stable
 3Repeat c-sectionKauai County315.3%12.6%18.4%100800Stable
 3Repeat c-sectionMaui County414.3%11.9%17.0%2001,700Stable

Vaginal delivery after c-section

 4Vaginal delivery after c-sectionHawaii County11.4%0.8%2.5%502,000Stable
 4Vaginal delivery after c-sectionHonolulu County22.8%1.9%4.0%30010,900Stable
 4Vaginal delivery after c-sectionKauai County31.2%0.6%2.4%50800Unstable
 4Vaginal delivery after c-sectionMaui County41.4%0.7%2.5%501,700Unstable
  • UnstableUse caution in interpreting, the estimate has a relative standard error greater than 0.30 and may not be reliable.
  • StableA count or rate is considered "Stable" when the relative standard error (RSE) is below 0.30 and a minimum of 30 respondents answered the question.

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Data Notes

  • Question Wording:

    Delivery type comes from the birth certificate. Delivery options are vaginal delivery, first c-section, repeat c-section, vaginal delivery after c-section.
  • Weighted Survey Data

    The percentages reported above have been produced by weighting the sample so that the results better represent the population of Hawaiʻi. Numerator and denominator data have been rounded to the nearest 100. In cases where the numerator is 49 or less, it is displayed as 50.

Data Sources

Citation: Hawaii State Department of Health, Hawaii Health Data Warehouse, Pregnancy Risk Assessment Monitoring System. [Chart Title, appropriate years(s)]. Published [update date]. Accessed [query date]. [URL]

Data Issue

Statistical Stability

Relative standard error, or RSE, is the standard error expressed as a proportion of the point estimate.

"Stable" is displayed when the RSE is below 0.30.

"Unstable" is displayed when the RSE is 0.30-0.50. An unstable count or rate may fluctuate widely across time periods due to random variation (chance).

"Very unstable" is displayed when the RSE is greater than 0.50. A very unstable count or rate should not be used to inform decision making.

Problems with statistical instability typically occur when there is a small number of health events in a small population. You may combine years or otherwise increase the population size used in the query to achieve a more stable count or rate.

Survey Sample

PRAMS uses a two-stage, stratified random sampling method to identify the sample. The sampling frame is drawn from birth certificates. Each month, approximately 200 women who are 2 to 4 months post-delivery are chosen. The sample includes only residents of Hawai'i who had a recent live birth in the state. The results are weighted to ensure accurate representation of the population.
These data were queried on: Wed, 9 Apr 2025 02:28:42 HST
The dataset was last updated on: Thu, 23 May 2024 08:56:17 HST
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