| Literature DB >> 34623408 |
Sara C Handley1,2, Molly Passarella1, Heidi M Herrick1, Julia D Interrante3, Scott A Lorch1,2, Katy B Kozhimannil3, Ciaran S Phibbs4,5, Elizabeth E Foglia1.
Abstract
Importance: Timely access to clinically appropriate obstetric services is critical to the provision of high-quality perinatal care. Objective: To examine the geographic distribution, proximity, and urban adjacency of US obstetric hospitals by annual birth volume. Design, Setting, and Participants: This retrospective population-based cohort study identified US hospitals with obstetric services using the American Hospital Association (AHA) Annual Survey of Hospitals and Centers for Medicare & Medicaid provider of services data from 2010 to 2018. Obstetric hospitals with 10 or more births per year were included in the study. Data analysis was performed from November 6, 2020, to April 5, 2021. Exposure: Hospital birth volume, defined by annual birth volume categories of 10 to 500, 501 to 1000, 1001 to 2000, and more than 2000 births. Main Outcomes and Measures: Outcomes assessed by birth volume category were percentage of births (from annual AHA data), number of hospitals, geographic distribution of hospitals among states, proximity between obstetric hospitals, and urban adjacency defined by urban influence codes, which classify counties by population size and adjacency to a metropolitan area.Entities:
Mesh:
Year: 2021 PMID: 34623408 PMCID: PMC8501399 DOI: 10.1001/jamanetworkopen.2021.25373
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Hospital Characteristics and Available Infant Services by Annual Birth Volume From 2010 to 2018
| Characteristic | Hospitals | |||||
|---|---|---|---|---|---|---|
| Total | 10-500 births/y | 501-1000 births/y | 1001-2000 births/y | >2000 births/y | ||
| Hospital-years, No. | 26 900 | 10 064 | 5784 | 5627 | 5425 | NA |
| Births/y, median (IQR) | 755 (326-1671) | 252 (134-363) | 710 (597-853) | 1382 (1172-1645) | 3034 (2442-4053) | <.001 |
| Ownership or control | ||||||
| For profit | 4007 (14.9) | 1152 (11.5) | 1214 (21.0) | 1050 (18.7) | 591 (10.9) | <.001 |
| Nonprofit | 17 523 (65.1) | 5877 (58.4) | 3769 (65.2) | 3737 (66.4) | 4140 (76.3) | |
| Government | 5370 (20.0) | 3035 (30.2) | 801 (13.9) | 840 (14.9) | 694 (12.8) | |
| Teaching status | ||||||
| Nonteaching | 15 268 (56.8) | 8138 (80.9) | 3604 (62.3) | 2436 (43.3) | 1090 (20.1) | <.001 |
| Minor teaching | 9645 (35.9) | 1893 (18.8) | 2063 (35.7) | 2795 (49.7) | 2894 (53.4) | |
| Major teaching | 1987 (7.4) | 33 (0.3) | 117 (2.0) | 396 (7.0) | 1441 (26.6) | |
| Community hospital | 26 374 (98.0) | 9818 (97.6) | 5612 (97.0) | 5558 (98.8) | 5386 (99.3) | <.001 |
| Rural referral center | 1974 (7.3) | 393 (3.9) | 835 (14.4) | 545 (9.7) | 201 (3.7) | <.001 |
| Critical access hospital | 4158 (15.5) | 4060 (40.3) | 96 (1.7) | 0 | 2 (<0.1) | <.001 |
| Core base statistical area type | ||||||
| Metropolitan | 17 239 (64.1) | 2848 (28.3) | 3800 (65.7) | 5188 (92.2) | 5403 (99.6) | <.001 |
| Micropolitan | 5578 (20.7) | 3346 (33.3) | 1784 (30.8) | 426 (7.6) | 22 (0.4) | |
| Rural | 4083 (15.2) | 3870 (38.5) | 200 (3.5) | 13 (0.2) | 0 | |
| Urban adjacency influence description | ||||||
| Metropolitan | <.001 | |||||
| Large | 9522 (35.4) | 1239 (12.3) | 1971 (34.1) | 2773 (49.3) | 3539 (65.2) | |
| Small | 7957 (29.6) | 1667 (16.6) | 1943 (33.6) | 2479 (44.1) | 1868 (34.4) | |
| Micropolitan | ||||||
| Urban adjacent | 3233 (12.0) | 2103 (20.9) | 947 (16.4) | 181 (3.2) | 2 (<0.1) | |
| Not urban adjacent | 2125 (7.9) | 1192 (11.8) | 734 (12.7) | 183 (3.3) | 16 (0.3) | |
| Noncore | ||||||
| Urban adjacent | 1950 (7.3) | 1846 (18.3) | 97 (1.7) | 7 (0.1) | 0 | |
| Not urban adjacent | 2113 (7.9) | 2017 (20.0) | 92 (1.6) | 4 (0.1) | 0 | |
| Available infant services | ||||||
| Bassinets, median (IQR), No. | 15 (8-24) | 7 (4-10) | 14 (10-19) | 21 (16-26) | 35 (26-47) | <.001 |
| Neonatal intensive care | 9820 (36.5) | 619 (6.2) | 1395 (24.1) | 3037 (54.0) | 4769 (87.9) | <.001 |
| Neonatal intermediate care | 5993 (22.3) | 459 (4.6) | 1090 (18.9) | 1915 (34.0) | 2529 (46.6) | <.001 |
| Any neonatal intermediate or intensive care | 12 056 (44.8) | 935 (9.3) | 2127 (36.8) | 3900 (69.3) | 5094 (93.9) | <.001 |
Abbreviation: NA, not applicable.
Data are presented as number (percentage) of hospitals unless otherwise indicated.
A hospital-year was defined as 1 year of center data in the American Hospital Association Annual Survey of Hospitals[24] (eg, if a hospital had data for all 9 years of the study, the institution would be represented by 9 hospital-years).
Metropolitan was defined as counties containing an urban core of at least 50 000 residents, micropolitan as counties with a population center of 10 000 to 50 000, and noncore as counties with no population center of 10 000 or larger based on the US Office of Management and Budget’s standard definition of metropolitan statistical areas.[39] Counties were further classified by whether they were adjacent to urban or metropolitan areas based on urban adjacency influence codes.[38] Large metropolitan hospitals were defined as those located in a county with a population of at least 1 million and small as those in a county with a population less than 1 million.
Any neonatal intermediate or intensive care was defined by either the designation of neonatal intermediate or intensive care in the American Hospital Association survey data or as indicated by the Centers for Medicare & Medicaid Services data provider of services file.[26]
Figure 1. Percentage of Births and Obstetric Hospitals at the State Level by Hospital Volume Category, 2010 to 2018
Figure 2. Geographic Distribution of US Obstetric Hospitals by Volume Category in 2018
Proximity of US Obstetric Hospitals by Birth Volume Category From 2010 to 2018
| Birth volume | No. | Highest-volume category obstetric hospital within 30 miles | ||||
|---|---|---|---|---|---|---|
| No obstetric hospital | 10-500 births/y | 501-1000 births/y | 1001-2000 births/y | >2000 births/y | ||
|
| ||||||
| Hospitals, hospital-years | 10 064 | 1904 (18.9) | 2665 (26.5) | 1612 (16.0) | 1483 (14.7) | 2400 (23.9) |
| Births, No. (%) | 2 528 259 | 412 111 (16.3) | 540 076 (21.4) | 413 971 (16.4) | 405 594 (16.0) | 755 507 (29.9) |
|
| ||||||
| Hospitals, hospital-years | 5784 | 505 (8.7) | 618 (10.7) | 610 (10.6) | 867 (15.0) | 3184 (55.1) |
| Births, No. (%) | 4 196 825 | 354 426 (8.5) | 427 780 (10.2) | 426 354 (10.2) | 627 157 (14.9) | 2 361 108 (56.3) |
|
| ||||||
| Hospitals, hospital-years | 5627 | 186 (3.3) | 251 (4.5) | 479 (8.5) | 716 (12.7) | 3995 (71.0) |
| Births, No. (%) | 8 002 380 | 250 552 (3.1) | 346 001 (4.3) | 658 388 (8.2) | 1 018 135 (12.7) | 5 729 304 (71.6) |
|
| ||||||
| Hospitals, hospital-years | 5425 | 87 (1.6) | 66 (1.2) | 189 (3.5) | 465 (8.6) | 4618 (85.1) |
| Births, No. (%) | 19 327 487 | 226 407 (1.2) | 181 391 (0.9) | 534 729 (2.8) | 1 432 214 (7.4) | 16 952 746 (87.7) |
Proximity was defined as a straight-line distance of 30 miles or less. The nearest obstetric hospital was mutually exclusive, referencing the highest-volume hospitals within 30 miles or less.
Figure 3. Urban Adjacency of Isolated Obstetric Hospitals From 2010 to 2018
Isolated hospitals were defined as obstetric hospitals without another obstetric hospital within a 30-mile radius. Metro indicates metropolitan; micro, micropolitan.