Translation and validation of the Czech Republic version of the Birth Satisfaction Scale-Revised (BSS-R).

BACKGROUND: Satisfaction with the birth experience has been established to be critical for the wellbeing of the mother. The Birth Satisfaction Scale-Revised (BSS-R) is a brief and psychometrically robust multi-dimensional self-report tool designed to assess birth experience. The current investigation sought to translate and validate a Czech Republic version of the BSS-R (CZ-BSS-R). METHODS: Following translation psychometric assessment of the CZ-BSS-R was undertaken using a cross-sectional design. A between-subjects design was incorporated in order to evaluate known-groups validity evaluation of the translated measure. Four hundred and sixty-five Czech-speaking women within the Czech Republic took part in the study. Confirmatory factor analysis was undertaken and divergent and convergent validity and internal consistency characteristics also evaluated. RESULTS: The CZ-BSS-R was observed to have excellent psychometric properties and conceptually and measurement faithful to the original English-language measure. Consistent with previous investigations using the BSS-R significant differences were found in scores as a function of delivery type. CONCLUSIONS: The CZ-BSS-R is a valid, robust and reliable measure of birth experience and suitable for use with Czech-speaking women in the Czech Republic. The study highlighted that instrument and emergency Caesarean section were associated with a lower level of birth satisfaction compared to vaginal delivery.

Translation and validation of Vietnamese version of the Birth Satisfaction Scale-Revised (BSS-R).

BACKGROUND: The 10-item Birth Satisfaction Scale-Revised (BSS-R) is a quick and easy survey instrument recommended by the International Consortium for Health Outcome Measures as the tool of choice for measuring women's birth satisfaction. AIM: To translate and validate a Vietnamese-language version of the BSS-R. METHOD: A quantitative cross-sectional method was used to gather data post translation and back-translation of a Vietnamese version of the BSS-R (VN-BSS-R). Data collected were psychometrically evaluated using key indices of validity and reliability. PARTICIPANTS: Vietnamese women who were within one month postpartum of birth (N = 383) took part in the study. RESULTS: Findings illustrate that a two-factor model offered excellent psychometric properties. With the two-factor VN-BSS-R, five items loaded onto a subscale 'Positive birth experiences' and the other five onto a second subscale 'Negative birth experiences'. This two-factor model offered a fit to data (root mean square error of approximation [RMSEA] = 0.07, 90% confidence interval [CI] [0.05, 0.09], root square mean residual [RMSE] = 0.04 and comparative fit index [CFI] = 0.97). Mean scores for the exploratory factor analysis [EFA]-derived 'positive' and 'negative' sub-scales were 17.12 (SD 2.34) and 8.40 (SD 4.18) respectively. CONCLUSION: The translated and validated VN-BSS-R is a psychometrically robust tool for measuring birth satisfaction in Vietnamese postpartum women.The VN-BSS-R is available for use to measure experiences and perceptions of intrapartum care received by Vietnamese women.

Evaluation of risks of cardiovascular disease from radiation exposure linked to computed tomography scans in the UK.

Epidemiological studies of patient populations have shown that high doses of radiation increase risks of cardiovascular disease (CVD). Results from a recent meta-analysis of 93 epidemiological studies covering a wide range of doses provided evidence of a causal association between radiation exposure and CVD, and indicated excess relative risk per Gy for maximum dose below 500 mGy or delivered at low dose rates. These doses cover the range of organ doses expected from multiple diagnostic computed tomography (CT) scans. Dose-effect factors for the excess absolute risk of mortality from CVD following radiation exposure were derived from the meta-analysis. The present study uses these factors to estimate excess risks of mortality for various types of CVD, including cerebrovascular disease (CeVD), from CT scans of the body and head, assuming that the meta-analytic factors were accurate and represented a causal relationship. Estimates are based on cumulative doses to the heart and brain from CT scans performed on 105 574 patients on 12 CT scanners over a period of 5½ years. The results suggest that the excess number of deaths from CeVD could be 7 or 26 per 100 000 patients depending whether threshold brain doses of 200 mGy or 50 mGy, respectively are assumed. These results could have implications for head CT scans. However, the results rely on the validity of risk factors derived in the meta-analysis informing this assessment and which include significant uncertainties. Further incidence studies should provide better information on risk factors and dose thresholds, particularly for CeVD following head CT scans.

The Use of Facial Recognition Software and Published Manuscripts to Examine Trends in Surgical Editorial Board Diversity.

INTRODUCTION: Recent social justice movements have highlighted the need for improved diversity and inclusion. These movements have emphasized the need for inclusivity of all genders and races in all sectors including surgical editorial boards. There is currently not an established, standardized method to assess the gender, racial, and ethnic makeup of surgical editorial board rosters, yet artificial intelligence is a method that can be utilized to determine gender and race in an unbiased manner. The aim of the present study is to determine if recent social justice movements correlate with an increase in diversity-themed articles published and if there is an increase in the gender and racial makeup of surgical editorial boards determined by artificial intelligence software. METHODS: Impact factor was used to assess and rank highly regarded general surgery journals. The website of each of these journals was examined for pledges of diversity in their mission statements and core beliefs of conduct. To determine the number of diversity-themed articles that were published during 2016 and 2021, each surgical journal was analyzed for diversity-themed articles using 10 specific keywords in PubMed. To determine the racial and gender makeup of editorial boards in 2016 and 2021, we obtained the current and the 2016 editorial board roster. Roster member images were collected from academic institutional websites. Betaface facial recognition software was used to assess the images. The software assigned the gender, race and ethnicity of the image supplied. Betaface results were analyzed using a Chi Square Test of Independence. RESULTS: We analyzed 17 surgical journals. Only four of 17 journals were found to have diversity pledges on their website. For diversity themed publications, 1% of articles in 2016 and 2.7% in 2021 were published specifically about diversity. There was a significant increase in the amount of diversity articles/journal published per year in 2016 (6.59) compared to 2021 (25.94, P < 0.001). There was no correlation between impact factor and articles that publish diversity keywords. 1968 editorial board member images were analyzed using Betaface software to determine gender and race in both time periods. There was no significant increase in diversity of editorial board members regarding gender, race, and ethnicity temporally from 2016 to 2021. CONCLUSIONS: In the present study, we found that although the number of diversity-themed articles has increased over the last 5 y, however the gender and racial makeup of surgical editorial boards has not changed. Further initiatives are needed to better track and diversify the gender and racial composition of surgical editorial boards.

Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population.

BACKGROUND: The public health and economic implications of perinatal mental health problems are well documented. Maternity clinicians are ideally placed to effectively identify women at risk and facilitate early intervention. However, in China as globally a number of issues are implicated in a failure to recognise and treat. AIM: The present study sought to develop and evaluate the Chinese version 'professional issues in maternal mental health' scale (PIMMHS), explore its psychometric properties and potential application. METHODS: A cross-sectional design and instrument translation and evaluation approach was taken to investigate the psychometric properties of the PIMMHS in a Chinese population. A total of 598 obstetricians, obstetric nurses, and midwives participated in this study from 26 hospitals across China. FINDINGS: The Chinese PIMMHS was not a good fit to the original two factor model. The emotion/communication subscale yielded an excellent fit to the data according to all fit indices, offering compelling evidence for a single factor solution. The training (PIMMHS: Training), proved problematic throughout the analysis with divergent validity for the training subscale also being poor with a concomitant impact on the total scale performance. The performance of this subscale may be related to the nature of medical training and PMH. CONCLUSION: The Chinese PIMMHS comprises a unidimensional scale of emotion/ communication, which is simple and may provide insight into the emotional burden of providing PMH care, with the potential to mitigate that burden. Further development and investigation of the training sub-scale could be of value.

Factors Affecting the Gut Microbiome in Pediatric Intestinal Failure.

BACKGROUND: There is little data on gut microbiome and various factors that lead to dysbiosis in pediatric intestinal failure (PIF). This study aimed to characterize gut microbiome in PIF and determine factors that may affect microbial composition in these patients. METHODS: This is a single-center, prospective cohort study of children with PIF followed at our intestinal rehabilitation program. Stool samples were collected longitudinally at regular intervals over a 1-year period. Medical records were reviewed, and demographic and clinical data were collected. Medication history including the use of acid blockers, scheduled prophylactic antibiotics, and bile acid sequestrants was obtained. Gut microbial diversity among patients was assessed and compared according to various host characteristics of interest. RESULTS: The final analysis included 74 specimens from 12 subjects. Scheduled prophylactic antibiotics, presence of central line associated bloodstream infection (CLABSI) at the time of specimen collection, use of acid blockers, and ≥50% calories delivered via parenteral nutrition (PN) was associated with reduced alpha diversity, whereas increasing age was associated with improved alpha diversity at various microbial levels ( P value <0.05). Beta diversity differed with age, presence of CLABSI, use of scheduled antibiotics, acid blockers, percent calories via PN, and presence of oral feeds at various microbial levels ( P value <0.05). Single taxon analysis identified several taxa at several microbial levels, which were significantly associated with various host characteristics. CONCLUSION: Gut microbial diversity in PIF subjects is influenced by various factors involved in the rehabilitation process including medications, percent calories received parenterally, CLABSI events, the degree of oral feeding, and age. Additional investigation performed across multiple centers is needed to further understand the impact of these findings on important clinical outcomes in PIF.

Impact of iodinated contrast media concentration on image quality for dual-energy CT and single-energy CT with low tube voltage settings.

BACKGROUND: Contrast-induced nephropathy (CIN) is an adverse reaction associated with the use of intravenous contrast media (CM). PURPOSE: To investigate the impact of low tube voltage settings on single-energy computed tomography (SECT) and rapid kV switching dual-energy CT (DECT) with reduced concentrations of iodinated CM. MATERIAL AND METHODS: A phantom containing four different concentrations of CM (original concentration CM, 20%, 40%, and 60% reductions) was scanned using SECT mode with varying tube voltages (70, 80, 100, and 120 kVp) and DECT mode through reconstructing monoenergetic energy (50 keV and 70 keV) images. ATCM system with different noise index (NI) settings were set, and the images were reconstructed using ASiR-V. Image quality were measured for individual phantom sizes and protocols and compared to a reference protocol for SECT of 120 kVp, NI = 18, threshold contrast enhancement ≥280 HU, and CNR ≥17. RESULTS: Tube voltage settings of 70 kVp together with 40% reduction in the iodinated CM is suitable for small phantom size, those of 80 kVp and 20% reduction is suitable for the medium and large sizes. This allows radiation doses to be reduced by 12%-30%. Values of CNR and contrast for DECT are better than those for SECT with the same NI setting. CONCLUSION: Diagnostic reference of image quality can be maintained by using SECT with lower tube voltage and DECT with reductions of iodinated CM concentration and radiation dose. Therefore, the NI setting can be increased when DECT is used to achieve a similar image quality.

Translation and validation of the Hindi-Indian version of the Birth Satisfaction Scale-Revised.

AIM: Critical to maternal outcome and development of a healthy and relationship between mother and baby, is the woman's perception of her birth experience. The Birth Satisfaction Scale-Revised (BSS-R) has been demonstrated to be psychometrically robust, easily administered, and scored self-report measure of birth experience. Aim of the study was to translate the UK-BSS-R into Hindi, collect data, and psychometrically validate an Indian (Hindi)-BSS-R. METHODS: Psychometric assessment of the Indian (Hindi)-BSS-R was undertaken following translation using a cross-sectional design. Evaluation of known-groups validity was undertaken using an embedded between-subjects component. Data were collected from (n = 312) postnatal Hindi speaking women in India. Measurement characteristics were assessed using confirmatory factor analysis, divergent validity and internal consistency analysis. RESULTS: The measurement properties of the Indian (Hindi)-BSS-R were observed to be equivocal, with the established tri-dimensional measurement model not achieving best fit to data. Instead, an alternative two-factor model offered an excellent fit to data. Significant differences were observed between Indian (Hindi)-BSS-R scores and family type and gestation term status, which highlights the relevance of these contextual aspects to the Indian birth experience. Internal consistency was observed to be low on some sub-scales, indicating the potential need for future revision. CONCLUSIONS: The Indian (Hindi)-BSS-R is a measure of birth experience, which accepting some measurement caveats, is acceptable for use with Hindi speaking women in India. Further research is required to determine if modification of some of the items is required to improve internal consistency.

Factor structure and psychometric properties of the Birth Satisfaction Scale-Revised in Portuguese postpartum women.

OBJECTIVE: This study aims to develop a Portuguese-language version of the Birth Satisfaction Scale-Revised (BSS-R) for clinical and research use in Portugal (PT-BSS-R). The factor structure, its invariance across depression levels, and the internal consistency of the PT-BSS-R were analysed. METHOD: A sample of 1373 Portuguese-speaking postpartum women completed a sociodemographic and clinical form, the PT-BSS-R, and the Edinburgh Postnatal Depression Scale through an online survey tool. Four competing models were tested through confirmatory factor analyses and bifactor model-based psychometric indices were calculated. The internal consistency and the divergent/convergent validity are analysed. RESULTS: The psychometric properties of PT-BSS-R were found to be generally excellent. Both the original correlated three-factor model and the bifactor model exhibited a good fit to the data. Results from the bifactor model support the use of both the BSS-R total score and the subscale scores. Exemplary invariance findings were observed between groups stratified on the basis of depression screening. PT-BSS-R has demonstrated both divergent and convergent validity as well as internal consistency. CONCLUSION: PT-BSS-R is a psychometrically robust measure of birth satisfaction appropriate for clinical and research use in Portugal.

Translation and validation of the Dutch version of the Birth Satisfaction Scale-Revised (BSS-R).

BACKGROUND: Recent observations suggest birth satisfaction may be significantly associated with postpartum post-traumatic stress disorder (PP-PTSD). The Birth Satisfaction Scale-Revised (BSS-R) is increasingly used Internationally as a short, valid and reliable multi-dimensional measure of birth experience. The current study sought to develop a Dutch version of the BSS-R (D-BSS-R) for clinical and research application in the Netherlands. METHODS: Post-translation, a cross-sectional design with an embedded between-subjects component was used to evaluate key indices of validity and reliability of the D-BSS-R in a purposive sampled cohort of 244 Dutch-speaking women in the Netherlands. Confirmatory factor analysis, divergent, convergent and known-groups discriminant validity were evaluated as was the internal consistency of the measure. RESULTS: The D-BSS-R was found to be a generally valid and reliable measure of birth experience with the key measurement characteristics of the original English-language measure transferring well to the Dutch context. Statistically significant negative correlations were observed between all D-BSS-R sub-scales and a validated measure of PTSD. CONCLUSIONS: The D-BSS-R represents a valid and reliable measure of birth experience suitable and appropriate for use in the Netherlands. The study corroborates previous suggestions of linkage between birth satisfaction and PP-PTSD using a robust and diagnostically valid measure of trauma.

Multidimensionality within the Edinburgh postnatal depression scale: application issues of specific structure.

OBJECTIVE AND BACKGROUND: The 10-item Edinburgh Postnatal Depression Scale (EPDS) is a widely-used screening measure for postnatal depression. Factor analysis studies have suggested an embedded sub-scale could be used for screening for anxiety disorders. The current investigation sought to replicate and extend a recent study supporting this assertion. METHODS: A cross-sectional design. EPDS data were collected at up to two years postpartum. Confirmatory factor analysis, correlational and distributional characteristics of the measure were examined. Participants were a large sample (N = 985) of postpartum women in the Czech Republic. RESULTS: Factor structure findings substantially replicated the models evaluated by Della Vedova et al. (2022). Bifactor models, however, offered a better fit to data. A general factor of depression explained most of the variance in data in most models compared to embedded sub-scales across models. CONCLUSION: The model proposed by Della Vedova et al. (2022) offered an excellent fit to data. However, the findings from the bifactor modelling suggest the dominance of a general factor of depression which indicates the potential application of an embedded anxiety sub-scale for screening may be overstated.

Practitioner perspectives on the use of selected fear of childbirth screening tools within a clinical context.

Fear of childbirth (FOC), or tokophobia, can influence several medical and obstetric variables, and is a significant predictor of maternal and mental health outcomes and birth experiences. Current practice in the UK does not include initial screening for tokophobia, rather, assessment and support occur under extreme circumstances e.g. maternal requests for caesarean sections or pregnancy termination requests in order to avoid childbirth. Moreover, while there are several candidate outcome measures for FOC, none have been evaluated in terms of their perceived suitability by specialist practitioners within perinatal healthcare pathways. The present study explores the perceived barriers and facilitators reported by health professionals working within the maternity and mental health services for the use of FOC candidate outcome measures. Evaluated measures included the Fear of Birth Scale, the Oxford Worries about Labour Scale, The Wijma Delivery Expectancy Scale, the Slade-Pais Expectations of Childbirth Scale the Tokophobia Severity Scale. The Tokophobia Severity Scale, followed by the Slade-Pais Expectations of Childbirth Scales were the most favourable scales selected for use according to clinicians. The identification of preferred scales and how they can be used in the local maternity system is a step towards the application of these consistently in clinical practice, to aid in the identification and assessment of FOC. The use of the correct tool at each stage of contact with the local maternity system will improve clinician confidence in the identification of FOC and facilitate the efficient implementation of treatment and support through the development of pathways of care.

How Artificial Intelligence and Machine Learning Is Assisting Us to Extract Meaning from Data on Bone Mechanics?

Dramatic advancements in interdisciplinary research with the fourth paradigm of science, especially the implementation of computer science, nourish the potential for artificial intelligence (AI), machine learning (ML), and artificial neural network (ANN) algorithms to be applied to studies concerning mechanics of bones. Despite recent enormous advancement in techniques, gaining deep knowledge to find correlations between bone shape, material, mechanical, and physical responses as well as properties is a daunting task. This is due to both complexity of the material itself and the convoluted shapes that this complex material forms. Moreover, many uncertainties and ambiguities exist concerning the use of traditional computational techniques that hinders gaining a full comprehension of this advanced biological material. This book chapter offers a review of literature on the use of AI, ML, and ANN in the study of bone mechanics research. A main question as to why to implement AI and ML in the mechanics of bones is fully addressed and explained. This chapter also introduces AI and ML and elaborates on the main features of ML algorithms such as learning paradigms, subtypes, main ideas with examples, performance metrics, training algorithms, and training datasets. As a frequently employed ML algorithm in bone mechanics, feedforward ANNs are discussed to make their taxonomy and working principles more readily comprehensible to researchers. A summary as well as detailed review of papers that employed ANNs to learn from collected data on bone mechanics are presented. Reviewing literature on the use of these data-driven tools is essential since their wider application has the potential to: improve clinical assessments enabling real-time simulations; avoid and/or minimize injuries; and, encourage early detection of such injuries in the first place.

The Tokophobia Severity Scale (TSS): measurement model, power and sample size considerations.

OBJECTIVE: To examine the measurement model of the Tokophobia Severity Scale and consider issues of statistical power and sample size from the original instrument development study. BACKGROUND: Fear of childbirth (FoC) and tokophobia represents an area of increasing concern within perinatal mental health research and clinical practice. Existing measures of the FoC have been criticised due to either measurement inconsistencies, difficulties in scoring or practical clinical application. Attempting to address these limitations, researchers developed the Tokophobia Severity Scale (TSS). A fundamental assumption underpinning the use of the TSS is unidimensionality, however this assertion may have been based on sub-optimal sample size and approach taken to factor structure determination. METHOD: Parallel analysis (PA), principal components analysis (PCA), exploratory factor analysis (EFA), power analysis and sample size calculation using a reconstruction of the original dataset from published summary data. RESULTS: Following replication of the original PCA, a three-factor model was found to offer a significantly better fit to data than a unidimensional model. Power analysis suggested the original study was underpowered. CONCLUSION: The TSS remains a promising tool but assumptions regarding its measurement model are based on an inadequate sample size. Sample sizes for a sufficiently powered study indicated.

Spanish validation and factor structure of the Prenatal Distress Questionnaire Revised (NuPDQ).

BACKGROUND: Due to an absence of maternal stress being measured in routine prenatal care by clinicians, prenatal stress has become a serious problem which is associated with poorer obstetric outcomes, as well as worse maternal and infant health. For that reason, the aim of this study was the translation, validation and adaptation of Prenatal Distress Questionnaire Revised (NuPDQ) in a Spanish sample. METHODS: Three-hundred and seventy-one pregnant women were assessed using the NuPDQ, the Prenatal Distress Questionnaire, Perceived Stress Scale and the Connor-Davidson Resilience Scale. The NuPDQ was translated into Spanish by the backtranslation method and administered to participants. RESULTS: A confirmatory factor analysis revealed the established unidimensional structure to be a poor fit to data with the Spanish version. An exploratory factor analysis suggested a five-factor structure with 14 items. The instrument had good reliability, convergent and discriminant validity psychometric properties. CONCLUSIONS: The five-factor 14-item NuPDQ is useful to assess pregnancy-specific stress in Spanish pregnant women. It may be appropriate to use this instrument in order to identify pregnant women with high pregnancy-specific stress to try to prevent negative consequences derived from those high levels.

Fear of childbirth measurement: appraisal of the content overlap of four instruments.

OBJECTIVE: To evaluate empirically the degree of content overlap between four self-report measures of fear of childbirth (FoC) identified as 'best in class' by a recent review. BACKGROUND: FoC and tokophobia is an area of increasing clinical concern and has been linked to poor maternal and neonatal outcomes. Clinical pathways have been established to improve care and interventions for FoC however, ambiguity and inconsistency remain regarding the most appropriate assessment measures. METHOD: A multi-rater and consensus content analysis was undertaken to determine the degree of overlap between four 'best in class' measures of FoC/tokophobia. RESULTS: The Slade-Pais expectations of childbirth scale (SPECS) was found to be the preferred measure in terms of symptom overlap of the tools evaluated, however, the overall level of overlap among these measures was weak. CONCLUSION: Limitations inherent to the current battery of preferred measures of FoC suggests both the desirability and urgency to develop a theoretically-grounded, psychometrically robust and accurate FoC assessment measure. Current measures of FoC are not interchangeable.

How much should we be concerned about cumulative effective doses in medical imaging?

The International Atomic Energy Agency issued a statement calling for action to strengthen the radiation protection of patients undergoing recurrent imaging. This followed reports of patients receiving cumulative effective doses over 100 mSv from multiple computed tomography examinations. In order to evaluate excess risks of cancer incidence among UK patients, data from an exposure management system covering three hospitals within one trust have been studied over 5½ years. Cumulative effective doses for 105 757 patients, from whom 719 (0.68%) received effective dose over 100 mSv, have been analysed using age and sex specific risk factors for stochastic effects. Two cancers might be expected to be initiated in the patients receiving over 100 mSv, while five might be expected to develop cancer among patients receiving 50-100 mSv. However, the calculations ignore health conditions for which the patients are being treated that may shorten their lives, and rely on the linear-no-threshold dose-effect model which is a subject of debate, so they are likely to overestimate cancer incidence. If health of the patients receiving >100 mSv is taken into account, the risk of mortality from cancer initiated by medical exposure might be the order of 1 in 2000. Recommendations on further strengthening of optimisation should be applied to imaging procedures for all patients with special focus on those performed on children and adolescents.

An investigation into potential improvements in the design of lead glasses for protecting the eyes of interventional cardiologists.

The lens of the eye can be damaged by ionising radiation, so individuals whose eyes are exposed to radiation during their work may need to protect their eyes from exposure. Lead glasses are widely available, but there are questions about their efficiency in providing eye protection. In this study, Monte Carlo simulations are used to assess the efficiency of lead glasses in protecting the sensitive volume of the eye lens. Two designs currently available for interventional cardiologists are a wraparound (WA) style and ones with flat frontal lenses with side shielding. These designs were considered together with four modifications that would impact upon their efficiency: changing the lead equivalent thickness, adding lead to the frames, elongating the frontal lenses, and adding a closing shield to the bottom rim. For the eye closest to the source, standard models of lead glasses only decrease the radiation reaching the most sensitive region of the eye lens by 22% or less. Varying the lead thickness between 0.4 mm and 0.75 mm had little influence on the protection provided in the simulation of clinical use, neither did adding lead to the frames. Improved shielding was obtained by elongating the frontal lens, which could reduce radiation reaching the eye lens by up to 76%. Glasses with lenses that had a rim at the base, extending towards the face of the user, also provided better shielding than current models, decreasing the dose by up to 80%. In conclusion, elongating the frontal lens of lead glasses, especially of the WA design, could provide a three-fold increase in shielding efficiency and this is still valid for lenses with 0.4 mm lead equivalence.

Initial Laparotomy Versus Peritoneal Drainage in Extremely Low Birthweight Infants With Surgical Necrotizing Enterocolitis or Isolated Intestinal Perforation: A Multicenter Randomized Clinical Trial.

OBJECTIVE: The aim of this study was to determine which initial surgical treatment results in the lowest rate of death or neurodevelopmental impairment (NDI) in premature infants with necrotizing enterocolitis (NEC) or isolated intestinal perforation (IP). SUMMARY BACKGROUND DATA: The impact of initial laparotomy versus peritoneal drainage for NEC or IP on the rate of death or NDI in extremely low birth weight infants is unknown. METHODS: We conducted the largest feasible randomized trial in 20 US centers, comparing initial laparotomy versus peritoneal drainage. The primary outcome was a composite of death or NDI at 18 to 22 months corrected age, analyzed using prespecified frequentist and Bayesian approaches. RESULTS: Of 992 eligible infants, 310 were randomized and 96% had primary outcome assessed. Death or NDI occurred in 69% of infants in the laparotomy group versus 70% with drainage [adjusted relative risk (aRR) 1.0; 95% confidence interval (CI): 0.87-1.14]. A preplanned analysis identified an interaction between preoperative diagnosis and treatment group (P = 0.03). With a preoperative diagnosis of NEC, death or NDI occurred in 69% after laparotomy versus 85% with drainage (aRR 0.81; 95% CI: 0.64-1.04). The Bayesian posterior probability that laparotomy was beneficial (risk difference <0) for a preoperative diagnosis of NEC was 97%. For preoperative diagnosis of IP, death or NDI occurred in 69% after laparotomy versus 63% with drainage (aRR, 1.11; 95% CI: 0.95-1.31); Bayesian probability of benefit with laparotomy = 18%. CONCLUSIONS: There was no overall difference in death or NDI rates at 18 to 22 months corrected age between initial laparotomy versus drainage. However, the preoperative diagnosis of NEC or IP modified the impact of initial treatment.

A Novel Use of Artificial Intelligence to Examine Diversity and Hospital Performance.

BACKGROUND: The US population is becoming more racially and ethnically diverse. Research suggests that cultural diversity within organizations can increase team potency and performance, yet this theory has not been explored in the field of surgery. Furthermore, when surveyed, patients express a desire for their care provider to mirror their own race and ethnicity. In the present study, we hypothesize that there is a positive correlation between a high ranking by the US News and World Report for gastroenterology and gastrointestinal (GI) surgery and greater racial, ethnic, and gender diversity among the physicians and surgeons. METHODS: We used the 2019 US News and World Report rankings for best hospitals by specialty to categorize gastroenterology and GI surgery departments into 2 groups: 1-50 and 51-100. Hospital websites of these top 100 were viewed to determine if racial diversity and inclusion were highlighted in the hospitals' core values or mission statements. To determine the rates of diversity within departments, Betaface (Betaface.com) facial analysis software was used to analyze photos taken from the hospitals' websites. This software was able to determine the race, ethnicity, and gender of the care providers. We examined the racial and ethnic makeup of the populations served by these hospitals to see if the gastroenterologists and surgeons adequately represented the state population. We then ran the independent samples t-test to determine if there was a difference in rankings of more diverse departments. RESULTS: Hospitals with gastroenterology and GI surgery departments in the top 50 were more likely to mention diversity on their websites compared with hospitals that ranked from 51-100 (76% versus 56%; P = 0.035). The top 50 hospitals had a statistically significant higher percentage of underrepresented minority GI physicians and surgeons (7.01% versus 4.04%; P < 0.001). In the 31 states where these hospitals were located, there were more African Americans (13% versus 3%; P < 0.001) and Hispanics (12% versus 2%; P < 0.001), while there were fewer Asians (4% versus 21%; P < 0.001) in the population compared with the faculty. CONCLUSIONS: We used artificial intelligence software to determine the degree of racial and ethnic diversity in gastroenterology and GI surgery departments across the county. Higher ranking hospitals had a greater degree of diversity of their faculty and were more likely to emphasize diversity in their mission statements. Hospitals stress the importance of having a culturally diverse staff, yet their care providers may not adequately reflect the populations they serve. Further work is needed to prospectively track diversity rates over time and correlate these changes with measurable outcomes.