| Title |
Neonatal treatment philosophy in Dutch and German NICUs: health-related quality of life in adulthood of VP/VLBW infants
|
|---|---|
| Published in |
Quality of Life Research, September 2016
|
| DOI | 10.1007/s11136-016-1410-7 |
| Pubmed ID | |
| Authors |
Linda D. Breeman, Sylvia van der Pal, Gijsbert H. W. Verrips, Nicole Baumann, Peter Bartmann, Dieter Wolke |
| Abstract |
Although survival after very preterm birth (VP)/very low birth weight (VLBW) has improved, a significant number of VP/VLBW individuals develop physical and cognitive problems during their life course that may affect their health-related quality of life (HRQoL). We compared HRQoL in VP/VLBW cohorts from two countries: The Netherlands (n = 314) versus Germany (n = 260) and examined whether different neonatal treatment and rates of disability affect HRQoL in adulthood. To analyse whether cohorts differed in adult HRQoL, linear regression analyses were performed for three HRQoL outcomes assessed with the Health Utilities Index 3 (HUI3), the London Handicap Scale (LHS), and the WHO Quality of Life instrument (WHOQOL-BREF). Stepwise hierarchical linear regression was used to test whether neonatal physical health and treatment, social environment, and intelligence (IQ) were related to VP/VLBW adults' HRQoL and cohort differences. Dutch VP/VLBW adults reported a significantly higher HRQoL on all three general HRQoL measures than German VP/VLBW adults (HUI3: .86 vs .83, p = .036; LHS: .93 vs. .90, p = .018; WHOQOL-BREF: 82.8 vs. 78.3, p < .001). Main predictor of cohort differences in all three HRQoL measures was adult IQ (p < .001). Lower HRQoL in German versus Dutch adults was related to more cognitive impairment in German adults. Due to different policies, German VP/VLBW infants received more intensive treatment that may have affected their cognitive development. Our findings stress the importance of examining effects of different neonatal treatment policies for VP/VLBW adults' life. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 12% |
| Researcher | 8 | 10% |
| Student > Bachelor | 6 | 8% |
| Other | 5 | 6% |
| Student > Postgraduate | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 34 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 17% |
| Nursing and Health Professions | 10 | 13% |
| Psychology | 9 | 12% |
| Social Sciences | 5 | 6% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 32 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2017.
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#18,536,772
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Outputs from Quality of Life Research
#2,069
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Outputs of similar age from Quality of Life Research
#42
of 63 outputs
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