Closing the communication gap in neonatal inter-hospital transfer: a neonatal referral form for resource-limited settings - a modified e-Delphi-consensus study.

Background: Standardised neonatal referral forms (NRFs) facilitate effective communication between healthcare providers and ensure continuity of care between facilities, which are essential for patient safety. We sought to determine the essential data items, or core clinical information (CCI), that should be conveyed for neonatal inter-hospital transfer in resource-limited settings (Rounds 1 to 3) and to create an NRF suitable for our setting (Round 4). Methods: We conducted an international, four-round, modified Delphi-consensus study. Round-1 was a literature and internet search to identify existing NRFs. In Round-2 and -3, participants were Rwandan clinicians and international paediatric healthcare practitioners who had worked in Rwanda in the five years before the study. These participants evaluated the draft items and proposed additional items to be included in an NRF. Round-4 focused on creating the NRF and used five focus groups of Rwandan general practitioners at district hospitals. Results: We identified 16 pre-existing NRFs containing 125 individual items. Of these, 91 items met the pre-defined consensus criteria for inclusion in Round-2. Only 33 items were present in more than 50% of the 16 NRFs, confirming the need for this consensus study. In Round-2, participants proposed 12 new items, six of which met the pre-defined consensus criteria. In Round-3, participants scored items for importance, and 57 items met the final consensus criteria. In Round-4, 29 general practitioners took part in five focus groups; a total of 16 modifications were utilised to finalise the NRF. Conclusions: We generated a novel, robust, NRF that may be readily employed in resource-limited settings to communicate the essential clinical information to accompany a neonate requiring inter-hospital transfer.

A health partnership to reduce neonatal mortality in four hospitals in Rwanda.

BACKGROUND: A health partnership to improve hospital based neonatal care in Rwanda to reduce neonatal mortality was requested by the Rwandan Ministry of Health. Although many health system improvements have been made, there is a severe shortage of health professionals with neonatal training. METHODS: Following a needs assessment, a health partnership grant for 2 years was obtained. A team of volunteer neonatologists and paediatricians, neonatal nurses, lactation consultants and technicians with experience in Rwanda or low-income countries was assembled. A neonatal training program was provided in four hospitals (the 2 University hospitals and 2 district hospitals), which focused on nutrition, provision of basic respiratory support with nasal CPAP (Continuous Positive Airway Pressure), enhanced record keeping, thermoregulation, vital signs monitoring and infection control. To identify if care delivery improved, audits of nutritional support, CPAP use and its complications, and documentation in newly developed neonatal medical records were conducted. Mortality data of neonatal admissions was obtained. RESULTS: Intensive neonatal training was provided on 27 short-term visits by 10 specialist health professionals. In addition, a paediatric doctor spent 3 months and two spent 6 months each providing training. A total of 472 training days was conducted in the neonatal units. For nutritional support, significant improvements were demonstrated in reduction in time to initiation of enteral feeds and to achieve full milk feeds, in reduction in maximum postnatal weight loss, but not in days for regaining birth weight. Respiratory support with bubble CPAP was applied to 365 infants in the first 18 months. There were no significant technical problems, but tissue damage, usually transient, to the nose and face was recorded in 13%. New medical records improved documentation by doctors, but nursing staff were reluctant to use them. Mortality for University teaching hospital admissions was reduced from 23.6% in the 18 months before the project to 21.7%. For the two district hospitals, mortality reduced from 10% to 8.1%. A major barrier to training and improved care was low number of nurses working on neonatal units and staff turnover. CONCLUSION: This health partnership delivered an intensive program of capacity building by volunteer specialists. Improved care and documentation were demonstrated. CPAP was successfully introduced. Mortality was reduced. This format can be adapted for further training and improvement programs to improve the quality of facility-based care.

Knowledge and skills retention following Emergency Triage, Assessment and Treatment plus Admission course for final year medical students in Rwanda: a longitudinal cohort study.

AIM: To determine whether, after the Emergency Triage, Assessment and Treatment plus Admission (ETAT+) course, a comprehensive paediatric life support course, final year medical undergraduates in Rwanda would achieve a high level of knowledge and practical skills and if these were retained. To guide further course development, student feedback was obtained. METHODS: Longitudinal cohort study of knowledge and skills of all final year medical undergraduates at the University of Rwanda in academic year 2011-2012 who attended a 5-day ETAT+ course. Students completed a precourse knowledge test. Knowledge and clinical skills assessments, using standardised marking, were performed immediately postcourse and 3-9 months later. Feedback was obtained using printed questionnaires. RESULTS: 84 students attended the course and re-evaluation. Knowledge test showed a significant improvement, from median 47% to 71% correct answers (p<0.001). For two clinical skills scenarios, 98% passed both scenarios, 37% after a retake, 2% failed both scenarios. Three to nine months later, students were re-evaluated, median score for knowledge test 67%, not significantly different from postcourse (p>0.1). For clinical skills, 74% passed, with 32% requiring a retake, 8% failed after retake, 18% failed both scenarios, a significant deterioration (p<0.0001). CONCLUSIONS: Students performed well on knowledge and skills immediately after a comprehensive ETAT+ course. Knowledge was maintained 3-9 months later. Clinical skills, which require detailed sequential steps, declined, but most were able to perform them satisfactorily after feedback. The course was highly valued, but several short courses and more practical teaching were advocated.

Detecting cheating in written medical examinations by statistical analysis of similarity of answers: pilot study.

OBJECTIVE: To assess whether a computer program using a variant of Angoff's method can detect anomalous behaviour indicative of cheating in multiple choice medical examinations. DESIGN: Statistical analysis of 11 examinations held by the Royal College of Paediatrics and Child Health. SETTING: UK postgraduate medical examination. PARTICIPANTS: Examination candidates. MAIN OUTCOME MEASURES: Detection of anomalous candidate pairs by regression of similarity of correct answers in all possible pairs of candidates on the overall proportion of correct answers. Anomalous pairs were subsequently assessed in terms of examination centres and the seating plan of candidates, to assess adjacency. RESULTS: The 11 examinations were taken by a total of 11,518 candidates, and Acinonyx examined 6,178,628 pairs of candidates. Two examinations showed no anomalies, and one examination found an anomaly resulting from a scanning error. The other eight examinations showed 13 anomalies compatible with cheating, and in each pair the two candidates had sat the examination at the same centre, and for six examinations with seating plans, the candidates in the anomalous pairs had been seated side by side. The raw probabilities of the anomalies varied from 3.9x10(-11) to 9.3x10(-30) (median = 1.1x10(-17)), with Bonferroni-corrected probabilities in the range 2.4x10(-5) to 4.1x10(-24) (median = 1.6x10(-11)). This suggests that one anomalous pair is found for every 1000 or so candidates taking this postgraduate examination. CONCLUSIONS: This statistical technique identified a small proportion of candidates who had very similar patterns of correctly answered questions. The likelihood is that one candidate has copied from the other, or that there was collusion, or that a technical error occurred in the exams department (as happened in a single case). Analysis of similarities can be used to identify cheating and as part of the quality assurance process of postgraduate medical examinations.