1
|
Brinson AK, Jahnke HR, Rubin-Miller L, Henrich N, Peahl A, Shah N, Moss C. Digital health's influence on the association between birth preference and vaginal birth. Birth 2024. [PMID: 38804000 DOI: 10.1111/birt.12831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 11/27/2023] [Accepted: 05/02/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Women's preferred mode of birth during pregnancy is predictive of their actual mode of birth. Digital prenatal care services are a promising method for educating women on mode of birth to reduce elective cesareans. This study aimed to evaluate the influence of digital health on the association between birth preference and mode of birth. METHODS Data come from 5409 pregnant women enrolled in a digital platform for women's and family health. Multi-trajectory modeling identified trajectories of digital health usage throughout pregnancy. Adjusted logistic regression models tested associations between birth preferences and mode of birth. The modifying effect of digital health usage on the association between birth preference and mode of birth was assessed on the multiplicative scale. RESULTS Four distinct trajectories of digital service usage were identified and labeled as: (1) baseline users (52%): the reference group; (2) just-in timers (16%): high usage during the third trimester; (3) learners (26%): high educational resource usage (e.g., articles and classes) throughout pregnancy; and (4) super users (6%): high usage of both education and care resources throughout pregnancy. Overall, preferred mode of birth at enrollment was predictive of actual mode of birth; however, digital health usage moderated this association, whereby super users and learners who preferred a cesarean at enrollment were more likely to deliver vaginally, compared to baseline users who preferred a cesarean. CONCLUSION For the increasing proportion of women considering an elective cesarean, education through a prenatal digital health platform may help to encourage vaginal birth and reduce cesarean births.
Collapse
Affiliation(s)
- Alison K Brinson
- Department of Anthropology, UNC Chapel Hill, Chapel Hill, North Carolina, USA
- Carolina Population Center, Chapel Hill, North Carolina, USA
- Maven Clinic, New York, New York, USA
| | | | | | | | - Alex Peahl
- Maven Clinic, New York, New York, USA
- University of Michigan-Obstetrics and Gynecology, Ann Arbor, Michigan, USA
| | - Neel Shah
- Maven Clinic, New York, New York, USA
| | | |
Collapse
|
2
|
Wang Y, Xu F, Zhao S, Han L, Huang S, Zhu H, Ding Y, Ma L, Zhao W, Zhang T, Chen X. Procedural analgesic interventions in China: a national survey of 2198 hospitals. BMC Anesthesiol 2022; 22:250. [PMID: 35933333 PMCID: PMC9356406 DOI: 10.1186/s12871-022-01783-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/22/2022] [Indexed: 11/18/2022] Open
Abstract
Background Humane treatment requires the provision of appropriate sedation and analgesia during medical diagnosis and treatment. However, limited information is available about the status of procedural analgesic interventions in Chinese hospitals. Therefore, a nationwide survey was established to identify challenges and propose potential improvement strategies. Methods Forty-three members of the Pain Group of Chinese Society of Anesthesiology established and reviewed the questionnaire, which included (1) general information on the hospitals, (2) the sedation/analgesia rate in gastrointestinal endoscopy, labor, flexible bronchoscopy, hysteroscopy in China, (3) staff assignments, (4) drug use for procedural analgesic interventions, and (5) difficulties in procedural analgesic interventions. The data were obtained using an online questionnaire sent to the chief anesthesiologists of Chinese hospitals above Grade II or members of the Pain Group of Chinese Society of Anesthesiology. Results Valid and complete questionnaires were received from 2198 (44.0%) hospitals, of which 64.5% were Grade III. The overall sedation/analgesia rates were as follows: gastroscopy (50.6%), colonoscopy (53.7%), ERCP (65.9%), induced abortion (67.5%), labor (42.3%), hysteroscopy (67.0%) and fiber bronchoscopy (52.6%). Compared with Grade II hospitals, Grade III hospitals had a higher proportion of procedural analgesic interventions services except for induced abortion. On average (median [IQR]), each anesthesiologist performed 5.7 [2.3—11.4] cases per day, with 7.3 [3.2—13.6] performed in Grade III hospitals and 3.4 [1.8—6.8] performed in Grade II hospitals (z = -7.065, p < 0.001). Conclusions Chinese anesthesiologists have made great efforts to achieve procedural analgesic interventions, as evidenced by the increased rate. The uneven health care provided by hospitals at different levels and in different regions and the lack of anesthesiologists are the main barriers to optimal procedural analgesic interventions. Supplementary Information The online version contains supplementary material available at 10.1186/s12871-022-01783-6.
Collapse
Affiliation(s)
- Yafeng Wang
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Feng Xu
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shuai Zhao
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Linlin Han
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shiqian Huang
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Hongyu Zhu
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yuanyuan Ding
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Lulin Ma
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wenjing Zhao
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Tianhao Zhang
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiangdong Chen
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | | |
Collapse
|