11 research outputs found
Vulnerable newborn types: Analysis of population-based registries for 165 million births in 23 countries, 2000-2021.
OBJECTIVE: To examine the prevalence of novel newborn types among 165 million live births in 23 countries from 2000 to 2021. DESIGN: Population-based, multi-country analysis. SETTING: National data systems in 23 middle- and high-income countries. POPULATION: Liveborn infants. METHODS: Country teams with high-quality data were invited to be part of the Vulnerable Newborn Measurement Collaboration. We classified live births by six newborn types based on gestational age information (preterm 90th centile) for gestational age, according to INTERGROWTH-21st standards. We considered small newborn types of any combination of preterm or SGA, and term + LGA was considered large. Time trends were analysed using 3-year moving averages for small and large types. MAIN OUTCOME MEASURES: Prevalence of six newborn types. RESULTS: We analysed 165 017 419 live births and the median prevalence of small types was 11.7% - highest in Malaysia (26%) and Qatar (15.7%). Overall, 18.1% of newborns were large (term + LGA) and was highest in Estonia 28.8% and Denmark 25.9%. Time trends of small and large infants were relatively stable in most countries. CONCLUSIONS: The distribution of newborn types varies across the 23 middle- and high-income countries. Small newborn types were highest in west Asian countries and large types were highest in Europe. To better understand the global patterns of these novel newborn types, more information is needed, especially from low- and middle-income countries
Quantifying behavioural determinants relating to health professional reporting of medication errors: a cross-sectional survey using the Theoretical Domains Framework
Exploring facilitators and barriers to medication error reporting among healthcare professionals in Qatar using the theoretical domains framework: A mixed-methods approach
Qualitative exploration of practices to prevent medication errors in neonatal intensive care units: a focus group study
Maternal and Neonatal Outcomes Post Bariatric Surgery: A Population-Based Study
ObjectivesÂ
This study had two primary objectives. First, to evaluate the incidence, risk factors, and maternal and neonatal outcomes among pregnant women post-BS (the exposed group). Second, to evaluate these outcomes among pregnant women without a history of BS, these include women who are obese, overweight, and with normal weight (non-exposed groups).
Design
This population-based study was conducted using 12-month retrospective registry data from the PEARL-Peristat Study at the Women's Wellness and Research Center (WWRC) in Qatar.
Methods: We examined 6,212 parturient women and their offspring. Participants were classified into exposed (post-BS) (N=315) and non-exposed (N=5897). Statistical analysis was conducted using SPSS 28 software. We analyzed the risk factors and outcomes using univariate and multivariable regression. Results were reported as odds ratios (cOR) and adjusted aOR with 95% confidence intervals (CI), while incidences were reported as percentages. P value was regarded as significant at
Results
Qatari, advanced maternal age, Parity >1, diabetes, and hypertension were found to be significant risk factors for women with post-BS.
In addition, women in the post-BS group were found to be significantly more likely to have a cesarean delivery (37.5% vs. 24%, aOR=1.59, CI 1.18-2.14), preterm babies (10% vs. 7%, aOR=1.66, CI 1.06-2.59), and stillbirth (1.6% vs. 0.4%, aOR=4.53, CI 1.33-15.50) compared to the normal weight women group. Moreover, post-BS women had a higher risk of low-birth-weight neonates than obese (15% vs. 8%, aOR= 1.77, CI 1.153-2.73), overweight (15% vs. 7%, aOR=1.63, CI:1.09-2.43), and normal weight (15% vs. 8%, aOR=1.838, CI 1.23-2.75) women. Finally, women in the post-BS group were more likely to have low-birth weight neonates (
In contrast, post-BS had a lower risk of gestational diabetes than obese (19% vs. 40%, aOR=0.39, CI: 0.29-0.54) overweight (19% vs. 32%, aOR= 0.57, CI 0.42-0.79) women. Similarly, compared to the overweight group, post-BS had a lower incidence and risk of assisted birth (4% vs. 9%, aOR=0.46, CI 0.21-0.99). On the other hand, obesity significantly increased the risk of gestational diabetes, cesarean deliveries, and labor induction in comparison to the other groups.
ConclusionÂ
Pregnancies with post-BS should be considered a high-risk group for some outcomes and should be monitored closely. These findings may guide the future clinical decisions of antenatal and postnatal follow-up for post-BS women.
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Knowledge, perceived barriers and facilitators of medication error reporting: a quantitative survey in Malaysian primary care clinics
Stillbirths: Contribution of preterm birth and size-for-gestational age for 125.4 million total births from nationwide records in 13 countries, 2000–2020
Objective: To examine the contribution of preterm birth and size-for-gestational age in stillbirths using six ‘newborn types’. Design: Population-based multi-country analyses. Setting: Births collected through routine data systems in 13 countries. Sample: 125 419 255 total births from 22+0 to 44+6 weeks’ gestation identified from 2000 to 2020. Methods: We included 635 107 stillbirths from 22+0 weeks’ gestation from 13 countries. We classified all births, including stillbirths, into six ‘newborn types’ based on gestational age information (preterm, PT, 90th centile) for gestational age, according to the international newborn size for gestational age and sex INTERGROWTH-21st standards. Main outcome measures: Distribution of stillbirths, stillbirth rates and rate ratios according to six newborn types. Results: 635 107 (0.5%) of the 125 419 255 total births resulted in stillbirth after 22+0 weeks. Most stillbirths (74.3%) were preterm. Around 21.2% were SGA types (PT + SGA [16.2%], PT + AGA [48.3%], T + SGA [5.0%]) and 14.1% were LGA types (PT + LGA [9.9%], T + LGA [4.2%]). The median rate ratio (RR) for stillbirth was highest in PT + SGA babies (RR 81.1, interquartile range [IQR], 68.8–118.8) followed by PT + AGA (RR 25.0, IQR, 20.0–34.3), PT + LGA (RR 25.9, IQR, 13.8–28.7) and T + SGA (RR 5.6, IQR, 5.1–6.0) compared with T + AGA. Stillbirth rate ratios were similar for T + LGA versus T + AGA (RR 0.7, IQR, 0.7–1.1). At the population level, 25% of stillbirths were attributable to small-for-gestational-age. Conclusions: In these high-quality data from high/middle income countries, almost three-quarters of stillbirths were born preterm and a fifth small-for-gestational age, with the highest stillbirth rates associated with the coexistence of preterm and SGA. Further analyses are needed to better understand patterns of gestation-specific risk in these populations, as well as patterns in lower-income contexts, especially those with higher rates of intrapartum stillbirth and SGA.</p
Neonatal mortality risk of large-for-gestational-age and macrosomic live births in 15 countries, including 115.6 million nationwide linked records, 2000–2020
Objective: We aimed to compare the prevalence and neonatal mortality associated with large for gestational age (LGA) and macrosomia among 115.6 million live births in 15 countries, between 2000 and 2020. Design: Population-based, multi-country study. Setting: National healthcare systems. Population: Liveborn infants. Methods: We used individual-level data identified for the Vulnerable Newborn Measurement Collaboration. We calculated the prevalence and relative risk (RR) of neonatal mortality among live births born at term + LGA (>90th centile, and also >95th and >97th centiles when the data were available) versus term + appropriate for gestational age (AGA, 10th–90th centiles) and macrosomic (≥4000, ≥4500 and ≥5000 g, regardless of gestational age) versus 2500–3999 g. INTERGROWTH 21st served as the reference population. Main outcome measures: Prevalence and neonatal mortality risks. Results: Large for gestational age was common (median prevalence 18.2%; interquartile range, IQR, 13.5%–22.0%), and overall was associated with a lower neonatal mortality risk compared with AGA (RR 0.83, 95% CI 0.77–0.89). Around one in ten babies were ≥4000 g (median prevalence 9.6% (IQR 6.4%–13.3%), with 1.2% (IQR 0.7%–2.0%) ≥4500 g and with 0.2% (IQR 0.1%–0.2%) ≥5000 g). Overall, macrosomia of ≥4000 g was not associated with increased neonatal mortality risk (RR 0.80, 95% CI 0.69–0.94); however, a higher risk was observed for birthweights of ≥4500 g (RR 1.52, 95% CI 1.10–2.11) and ≥5000 g (RR 4.54, 95% CI 2.58–7.99), compared with birthweights of 2500–3999 g, with the highest risk observed in the first 7 days of life. Conclusions: In this population, birthweight of ≥4500 g was the most useful marker for early mortality risk in big babies and could be used to guide clinical management decisions.</p
Small babies, big risks: global estimates of prevalence and mortality for vulnerable newborns to accelerate change and improve counting
Small newborns are vulnerable to mortality and lifelong loss of human capital. Measures of vulnerability previously focused on liveborn low-birthweight (LBW) babies, yet LBW reduction targets are off-track. There are two pathways to LBW, preterm birth and fetal growth restriction (FGR), with the FGR pathway resulting in the baby being small for gestational age (SGA). Data on LBW babies are available from 158 (81%) of 194 WHO member states and the occupied Palestinian territory, including east Jerusalem, with 113 (58%) having national administrative data, whereas data on preterm births are available from 103 (53%) of 195 countries and areas, with only 64 (33%) providing national administrative data. National administrative data on SGA are available for only eight countries. Global estimates for 2020 suggest 13·4 million livebirths were preterm, with rates over the past decade remaining static, and 23·4 million were SGA. In this Series paper, we estimated prevalence in 2020 for three mutually exclusive types of small vulnerable newborns (SVNs; preterm non-SGA, term SGA, and preterm SGA) using individual-level data (2010–20) from 23 national datasets (∼110 million livebirths) and 31 studies in 18 countries (∼0·4 million livebirths). We found 11·9 million (50% credible interval [Crl] 9·1–12·2 million; 8·8%, 50% Crl 6·8–9·0%) of global livebirths were preterm non-SGA, 21·9 million (50% Crl 20·1–25·5 million; 16·3%, 14·9–18·9%) were term SGA, and 1·5 million (50% Crl 1·2–4·2 million; 1·1%, 50% Crl 0·9–3·1%) were preterm SGA. Over half (55·3%) of the 2·4 million neonatal deaths worldwide in 2020 were attributed to one of the SVN types, of which 73·4% were preterm and the remainder were term SGA. Analyses from 12 of the 23 countries with national data (0·6 million stillbirths at ≥22 weeks gestation) showed around 74% of stillbirths were preterm, including 16·0% preterm SGA and approximately one-fifth of term stillbirths were SGA. There are an estimated 1·9 million stillbirths per year associated with similar vulnerability pathways; hence integrating stillbirths to burden assessments and relevant indicators is crucial. Data can be improved by counting, weighing, and assessing the gestational age of every newborn, whether liveborn or stillborn, and classifying small newborns by the three vulnerability types. The use of these more specific types could accelerate prevention and help target care for the most vulnerable babies
Neonatal mortality risk for vulnerable newborn types in 15 countries using 125.5 million nationwide birth outcome records, 2000–2020
Objective: To compare neonatal mortality associated with six novel vulnerable newborn types in 125.5 million live births across 15 countries, 2000–2020. Design: Population-based, multi-country study. Setting: National data systems in 15 middle- and high-income countries. Methods: We used individual-level data sets identified for the Vulnerable Newborn Measurement Collaboration. We examined the contribution to neonatal mortality of six newborn types combining gestational age (preterm [PT] versus term [T]) and size-for-gestational age (small [SGA], 90th centile) according to INTERGROWTH-21st newborn standards. Newborn babies with PT or SGA were defined as small and T + LGA was considered as large. We calculated risk ratios (RRs) and population attributable risks (PAR%) for the six newborn types. Main outcome measures: Mortality of six newborn types. Results: Of 125.5 million live births analysed, risk ratios were highest among PT + SGA (median 67.2, interquartile range [IQR] 45.6–73.9), PT + AGA (median 34.3, IQR 23.9–37.5) and PT + LGA (median 28.3, IQR 18.4–32.3). At the population level, PT + AGA was the greatest contributor to newborn mortality (median PAR% 53.7, IQR 44.5–54.9). Mortality risk was highest among newborns born before 28 weeks (median RR 279.5, IQR 234.2–388.5) compared with babies born between 37 and 42 completed weeks or with a birthweight less than 1000 g (median RR 282.8, IQR 194.7–342.8) compared with those between 2500 g and 4000 g as a reference group. Conclusion: Preterm newborn types were the most vulnerable, and associated with the highest mortality, particularly with co-existence of preterm and SGA. As PT + AGA is more prevalent, it is responsible for the greatest burden of neonatal deaths at population level