Prioritising the care of critically ill children: a pilot study using SCREEN reduces clinic waiting times

Objective In low-resource settings, childhood mortality secondary to delays in triage and treatment remains high. This paper seeks to evaluate the impact of the novel Sick Children Require Emergency Evaluation Now (SCREEN) tool on the waiting times of critically ill children who present for care to primary healthcare clinics in Cape Town, South Africa. Methods We used a pre/postevaluation study design to calculate the median waiting times of all children who presented to four randomly chosen clinics for 5 days before, and 5 days after, the implementation of SCREEN. Findings The SCREEN programme resulted in statistical and clinically significant reductions in waiting times for children with critical illness to see a professional nurse (2 hours 45 min to 1 hour 12 min; p<0.001). There was also a statistically significant reduction in the proportion of children who left without being seen by a professional nurse (25.8% to 18.48%; p<0.001). Conclusions SCREEN is a novel programme that uses readily available laypersons, trained to make a subjective assessment of children arriving at primary healthcare centres, and provides a low cost, simple methodology to prioritise children and reduce waiting times in low-resource healthcare clinics

Risk factors for reported obstetric complications and near misses in rural northwest Bangladesh: analysis from a prospective cohort study

BACKGROUND: In rural Bangladesh, more than 75% of all births occur at home in the absence of skilled birth attendants. Population-based data are lacking on the burden and risk factors for obstetric complications in settings with low rates of institutional delivery. We sought to describe the prevalence of reported complications and to analyze risk factors for obstetric complications and near misses, using data from a representative, rural setting of Bangladesh. METHODS: This study utilized existing data on 42,214 pregnant women enrolled in a micronutrient supplementation cohort trial between 2007 and 2011 in rural northwest Bangladesh. Based on self-report of complications, women were categorized as having obstetric complications, near misses, or non-complicated pregnancies using definitions modified from the World Health Organization. Multivariable multinomial regression was used to analyze the association of biological, socioeconomic, and psychosocial variables with obstetric complications or near misses. RESULTS: Of enrolled women, 25% (n = 10,380) were classified as having at least one obstetric complication, 2% (n = 1,004) with reported near misses, and 73% (n = 30,830) with non-complicated pregnancies. Twelve percent (n = 5,232) reported hemorrhage and 8% (n = 3,259) reported sepsis. Of the 27,241 women with live births or stillbirths, 11% (n = 2,950) reported obstructed labor and 1% (n = 328) reported eclampsia. Biological risk factors including women’s age less than 18 years (Relative Risk Ratio [RRR] 1.26 95%CI:1.14-1.39) and greater than 35 years (RRR 1.23 95%CI:1.09-1.38), history of stillbirth or miscarriage (RRR 1.15 95%CI:1.07-1.22), and nulliparity (RRR 1.16 95%CI:1.02-1.29) significantly increased the risk of obstetric complications. Neither partner wanting the pregnancy increased the risk of obstetric complications (RRR 1.33 95%CI:1.20-1.46). Mid-upper arm circumference <21.5 cm increased the risk of hemorrhage and sepsis. CONCLUSIONS: These analyses indicate a high burden of obstetric morbidity. Maternal age, nulliparity, a history of miscarriage or stillbirth, and lack of pregnancy wantedness were associated with increased risk of obstetric complications. Policies to address early marriage, unmet need for contraception, and maternal undernutrition may help mitigate this morbidity burden in rural Bangladesh

Draconian policy measures are unlikely to prevent disordered gaming

In August of 2021, China imposed severe restrictions on children’s online gaming time. We argue that such a policy may seem useful on the surface but does not reflect the current evidence concerning prevention of disordered gaming. Videogame play is normal for children worldwide, and like other leisure activities can lead to benefits for the majority and problems for a minority. Problematic or disordered play results from the interaction of multiple risk factors that are not addressed by draconian policy measures. Identifying these factors through stakeholder-engaged research and current evidence will be much more likely to succeed in preventing disordered gaming and promoting youth wellbeing

A Field Training Guide for Human Subjects Research Ethics

Maria Merritt and colleagues report on a Field Training Guide for Human Subjects Research Ethics that they have developed to help train field workers in ethics for research

Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations

The Global Initiative on Artificial Intelligence for Health (GI-AI4H), established by the World Health Organization, serves to harmonize governance standards for artificial intelligence (AI). The GI-AI4H spearheads novel on-the-ground efforts, especially in low- and middle-income countries, to advance ethical, regulatory, implementation, and operational dimensions of global governance for health AI. The GI-AI4H’s efforts across the United Nations drives safe, ethical, equitable, and sustainable health AI use for the global community

Accounts of severe acute obstetric complications in Rural Bangladesh

<p>Abstract</p> <p>Background</p> <p>As maternal deaths have decreased worldwide, increasing attention has been placed on the study of severe obstetric complications, such as hemorrhage, eclampsia, and obstructed labor, to identify where improvements can be made in maternal health. Though access to medical care is considered to be life-saving during obstetric emergencies, data on the factors associated with health care decision-making during obstetric emergencies are lacking. We aim to describe the health care decision-making process during severe acute obstetric complications among women and their families in rural Bangladesh.</p> <p>Methods</p> <p>Using the pregnancy surveillance infrastructure from a large community trial in northwest rural Bangladesh, we nested a qualitative study to document barriers to timely receipt of medical care for severe obstetric complications. We conducted 40 semi-structured, in-depth interviews with women reporting severe acute obstetric complications and purposively selected for conditions representing the top five most common obstetric complications. The interviews were transcribed and coded to highlight common themes and to develop an overall conceptual model.</p> <p>Results</p> <p>Women attributed their life-threatening experiences to societal and socioeconomic factors that led to delays in seeking timely medical care by decision makers, usually husbands or other male relatives. Despite the dominance of male relatives and husbands in the decision-making process, women who underwent induced abortions made their own decisions about their health care and relied on female relatives for advice. The study shows that non-certified providers such as village doctors and untrained birth attendants were the first-line providers for women in all categories of severe complications. Coordination of transportation and finances was often arranged through mobile phones, and referrals were likely to be provided by village doctors.</p> <p>Conclusions</p> <p>Strategies to increase timely and appropriate care seeking for severe obstetric complications may consider targeting of non-certified providers for strengthening of referral linkages between patients and certified facility-based providers. Future research may characterize the treatments and appropriateness of emergency care provided by ubiquitous village doctors and other non-certified treatment providers in rural South Asian settings. In addition, future studies may explore the use of mobile phones in decreasing delays to certified medical care during obstetric emergencies.</p

A home calendar and recall method of last menstrual period for estimating gestational age in rural Bangladesh: a validation study

Background: The best method of gestational age assessment is by ultrasound in the first trimester; however, this method is impractical in large field trials in rural areas. Our objective was to assess the validity of gestational age estimated from prospectively collected date of last menstrual period (LMP) using crown-rump length (CRL) measured in early pregnancy by ultrasound. Methods: As part of a large, cluster-randomized, controlled trial in rural Bangladesh, we collected dates of LMP by recall and as marked on a calendar every 5 weeks in women likely to become pregnant. Among those with a urinetest confirmed pregnancy, a subset with gestational age of &lt;15 weeks (n = 353) were enrolled for ultrasound follow-up to measure CRL. We compared interview-assessed LMP with CRL gestational age estimates and classification of preterm, term, and post-term births. Results: LMP-based gestational age was higher than CRL by a mean (SD) of 2.8 (10.7) days; differences varied by maternal education and preterm birth (P &lt; 0.05). Lin\u2019s concordance correlation coefficient was good at ultrasound [0.63 (95 % CI 0.56, 0.69)] and at birth [0.77 (95 % CI 0.73, 0.81)]. Validity of classifying preterm birth was high but post-term was lower, with specificity of 96 and 89 % and sensitivity of 86 and 67 %, respectively. Results were similar by parity. Conclusions: Prospectively collected LMP provided a valid estimate of gestational age and preterm birth in a rural, low-income setting and may be a suitable alternative to ultrasound in programmatic settings and large field trials. Trial registration: ClinicalTrials.gov NCT0086047