| Literature DB >> 35241475 |
Rianne C Bijl1, Sophie E Bangert1, Raj Shree2, Alina N Brewer3,4, Norlisa Abrenica-Keffer3, Eleni Z Tsigas3, Maria P H Koster1, Ellen W Seely5,6.
Abstract
OBJECTIVES: To gain insight into the patient journey through a pre-eclampsia-complicated pregnancy.Entities:
Keywords: hypertension; maternal medicine; mental health; quality in health care
Mesh:
Year: 2022 PMID: 35241475 PMCID: PMC8896051 DOI: 10.1136/bmjopen-2021-057795
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flow chart of responders Patient Journey questionnaire in the Preeclampsia Registry (TPR). HDP, hypertensive disorder of pregnancy.
Baseline characteristics responders and non-responders
| Individual characteristics | Responders (833) | Non-responders (2161) | P value |
| Median (IQR)/N (%) | Median (IQR)/N (%) | ||
| Maternal age (years) | 30 (27; 33) | 29 (26; 33) | <0.001 |
| <25 | 97 (11.7%) | 393 (18.3%) | |
| 25–29 | 265 (31.9%) | 700 (32.6%) | |
| 30–34 | 305 (36.7%) | 744 (34.6%) | |
| ≥35 | 163 (19.6%) | 312 (14.6%) | |
| Missing: 3 | Missing: 12 | ||
| Country of residence | 0.012 | ||
| United States | 728 (87.4%) | 1796 (83.1%) | |
| Other | 105 (12.6%) | 365 (16.9%) | |
| Missing: 0 | Missing: 0 | ||
| Race | 0.001 | ||
| White | 795 (95.4%) | 1990 (92.1%) | |
| Non-white | 38 (4.6%) | 171 (7.9%) | |
| Missing: 0 | Missing: 0 | ||
| Ethnicity | 0.281 | ||
| Non-Hispanic | 781 (94.0%) | 1967 (92.9%) | |
| Hispanic | 50 (6.0%) | 151 (7.1%) | |
| Missing: 2 | Missing: 43 | ||
| Totally family income per year | 0.020 | ||
| Less than US$25 000 | 66 (13.2%) | 264 (18.1%) | |
| US$5000–US$99 999 | 259 (51.9%) | 745 (51.2%) | |
| US$100 000–US$249 999 | 149 (29.9%) | 401 (27.6%) | |
| US$250 000 or more | 25 (5.0%) | 45 (3.1%) | |
| Missing: 334 | Missing: 706 | ||
| Highest level of education completed | <0.001 | ||
| High school or less and technical/vocational school | 74 (9.0%) | 277 (13%) | |
| Some college | 117 (14.2%) | 368 (17.3%) | |
| College | 341 (41.4%) | 885 (41.7%) | |
| Graduate school | 292 (35.4%) | 593 (27.9%) | |
| Missing: 9 | Missing: 38 | ||
| Marital status | 0.978 | ||
| Married or in a relationship | 795 (95.8%) | 2056 (95.8%) | |
| Divorced/single | 35 (4.2%) | 90 (4.2%) | |
| Missing: 3 | Missing: 15 |
ICU, intensive care unit; NICU, neonatal intensive care unit.
Patient journey (N=833)
| A. Before pre-eclampsia diagnosis | N (%) |
| Heard of pre-eclampsia | 599 (73.9%) |
| Missing: 22 | |
| Aware of the symptoms associated with pre-eclampsia | 348 (43.7%) |
| Missing: 36 | |
| Experienced any symptoms | 746 (90.9%) |
| Missing: 12 | |
| Symptoms length before reaching out to a healthcare provider | |
| <1 day | 244 (37.7%) |
| 2–5 days | 206 (31.8%) |
| ≥6 days | 198 (30.6%) |
| Missing: 185 | |
| Would have done anything differently if had more knowledge about symptoms | 536 (85.4%) |
| Missing: 205 | |
| Would have sought care sooner | 383 (71.5%) |
Indentations: this question only applies when a specific answer was given to the previous question; percentages are provided for total of given answers.
Figure 2Differences in responses over time. (A). Were you aware of the symptoms associated with pre-eclampsia before you were diagnosed with pre-eclampsia in this pregnancy? (B) Did you feel that you were adequately involved in making decisions about your care? (C) Were you instructed to follow up with your healthcare provider regarding your diagnosis of pre-eclampsia? (D) Did anyone speak to you about the potential long-term health consequences as a result of pre-eclampsia?.
Associations between patient characteristics and outcomes
| A. Heard of pre-eclampsia before first diagnosis | OR | 95% CI | P value |
| Year of delivery | |||
| <2011 | 0.28 | 0.17 to 0.47 | <0.001 |
| 2011–2013 | 0.64 | 0.37 to 1.11 | 0.111 |
| 2014–2016 | 0.66 | 0.40 to 1.09 | 0.106 |
| ≥2017 | ref | ||
| Highest level of education completed | |||
| High school or less and technical/vocational school | 0.36 | 0.21 to 0.62 | <0.001 |
| Some college | 0.72 | 0.45 to 1.16 | 0.182 |
| College | ref | ||
| Graduate school | 2.05 | 1.35 to 3.11 | 0.001 |
| Multiparity | 1.65 | 0.88 to 3.08 | 0.118 |
A. Covariates removed by backward selection: maternal age.
B. Covariates removed by backward selection: gestational age, parity, maternal age, maternal intensive care admittance, healthcare provider conveyed the seriousness of the condition, aware of pre-eclampsia symptoms before diagnosis, heard of pre-eclampsia before diagnosis.
C. Covariates removed by backward selection: child admitted to neonatal intensive care unit, counseled about risk of experiencing pre-eclampsia in future pregnancies, maternal intensive care admittance.
Results are from multivariate logistic regression analysis.
NICU, neonatal intensive care unit.