Abstract
This randomized clinical trial examines the effect of neonatal outcomes on the preferences for expectant German mothers for life-sustaining treatments.
Extremely preterm infants born before a gestational age (GA) of 25 weeks are in a prognostic gray zone,1 which means that outcomes are poor but not hopeless and that life-sustaining treatments are not obligatory. Treatment decisions are value-laden and challenging2 and ought to be shared between parents and physicians while imperatively aligned with parental preferences.3,4 When counseling parents, physicians commonly present numerical outcome estimates5 and may assume that parents derive their preferences from them. However, it is unknown whether probabilistic data affect parents’ choices in prognostic gray zones.6 Here, we hypothesized that better or worse neonatal outcome estimates do not affect expectant mothers’ preferences for life-sustaining treatments.
Methods
This single-center, double-blinded, randomized clinical trial was performed from December 2017 to January 2019 (Trial Protocol in Supplement 1). Expectant mothers between a GA of 280/7 weeks and 366/7 weeks hospitalized because of impending premature birth were eligible for the study. Patients were randomly allocated to respond to either a case vignette of 60% or 30% survival rate. Written case vignettes included a detailed description of an impending preterm birth at 236/7 weeks (60% survival) or 226/7 weeks GA (30% survival) and were identical except from numerical data. Patients were asked to indicate a preference for life-sustaining treatments, palliative care, or no preference and to complete a short questionnaire. The study was approved by the local ethics committee of the Rhineland-Palatinate Medical Association. Participants provided written informed consent before inclusion in the study. The study was registered at the German clinical trial database (identifier: DRKS00013034). A multinomial logistic regression was performed to determine the association between the case vignettes and mothers’ preferences. A multivariate version was performed, including 6 variables in addition to the case vignettes (education, religiousness, marital status, previous children, fertility treatment, and age), with the stepwise backward selection method to identify the most influential variables on the mothers’ preferences. Categorical variables were compared using a χ2 test and continuous variables were compared using a t test; P < .05 indicated statistical significance. For the primary outcome, a sample size of 64 patients was calculated to show with a power of 90% that the difference in the preference rates of life-sustaining treatment decisions was less than 30%.
Results
A total of 64 patients were included in the analysis (Figure and Table). The 60% or 30% survival group was similar with respect to the preference rates for life-sustaining treatments compared with palliative care (46.9% vs 34.4% in the 60% survival group and 50.0% vs 40.6% in the 30% survival group; odds ratio [OR], 0.90; 95% CI, 0.31–2.63). A few patients were not able to formulate a preference (6 patients(18.8%) in the 60% survival group and 3 patients (9.4%) in the 30% survival group; OR, 0.423; 95% CI, 0.08–2.10). An analysis of the patients who formulated a preference showed that an attitude that mere survival is at least as important as quality of life was associated with a preference for life-sustaining treatments (OR, 10.28; 95% CI, 2.94–35.90). Increasing maternal age (OR, 0.77; 95% CI, 0.61–0.98) and childlessness (OR, 0.12; 95% CI 0.01–0.98) were associated with a preference for palliative care. Most patients would decide together with their partners (63 of 64 [98.4%]) and preferred to be empowered by their physicians in the decision-making process (48 of 64 [75%]).
Figure. Consolidated Standards of Reporting Trials Flow Diagram.
Table. Demographic Characteristics.
| Characteristic | Survival group, No. (%) | P value | |
|---|---|---|---|
| 60% | 30% | ||
| No. (%) | 32 (50) | 32 (50) | NA |
| GA, mean (SD), wk | 31.5 (2.6) | 31.2 (2.4) | .57 |
| Age, mean (SD), y | 32.1 (4.3) | 32.8 (4.5) | .68 |
| Previous children | |||
| No | 26 (81.3) | 22 (68.8) | .27 |
| 1 | 6 (18.8) | 8 (25.0) | |
| 2 | 0 (0.0) | 2 (6.3) | |
| Marital status | |||
| Single | 1 (3.1) | 0 (0.0) | .31 |
| With partner | 31 (96.6) | 32 (100.0) | |
| Religiousness | |||
| 1 (Not) | 6 (18.8) | 7 (21.9) | .99 |
| 2 | 7 (21.9) | 8 (25.0) | |
| 3 | 14 (43.8) | 13 (40.6) | |
| 4 | 4 (12.5) | 3 (9.4) | |
| 5 (Strong) | 1 (3.1) | 1 (3.1) | |
| Education | |||
| Regular school | 3 (9.4) | 7 (21.9) | 39 |
| High school | 6 (18.8) | 5 (15.6) | |
| University | 23 (71.9) | 20 (62.5) | |
| Social experiences with prematurity | 15 (46.9) | 26 (81.3) | .004 |
| History of miscarriage | 9 (28.1) | 13 (40.6) | .29 |
| Fertility treatment (current pregnancy) | 7 (21.9) | 9 (28.1) | .56 |
Abbreviations: GA, gestational age; NA, not applicable.
Discussion
In this study, it appeared that treatment preferences originated from individual characteristics and values rather than from reasoning about numerical outcome estimates. However, generalizability is limited and the results should be interpreted in light of the methods used. Patients made a one-time decision without personal feedback and patients actually affected might indicate different preferences. More studies are needed to help to improve our understanding of the information that parents facing extremely preterm birth want and need.
Trial Protocol
Data Sharing Statement
References
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Trial Protocol
Data Sharing Statement

