Background: There is a paucity of data on healthcare utilization by children with neurological impairments (NI) in sub-Saharan Africa. We determined the rate, risk factors, causes, and outcomes of hospital admission and utilization patterns for rehabilitative care among children with NI in a defined rural area in Kenya.
Methods: We designed two sub-studies to address the primary objectives. Firstly, we retrospectively observed 251 children aged 6–9 years with NI and 2162 age-matched controls to determine the rate, causes and outcomes of hospitalization in a local referral hospital. The two cohorts were identified from an epidemiological survey conducted in 2015 in a defined geographical area. Secondly, we reviewed hospital records to characterize utilization patterns for rehabilitative care.
Results: Thirty-four in-patient admissions occurred in 8503 person-years of observation (PYO), yielding a crude rate of 400 admissions per 100 000 PYO (95% confidence interval (Cl): 286–560). The risk of admission was similar between cases and controls (rate ratio=0.70, 95%CI: 0.10–2.30, p = 0.31). The presence of electricity in the household was associated with reduced odds of admission (odds ratio=0.32, 95% Cl: 0.10–0.90, p < 0.01). Seizures and malaria were the main causes of admission. We confirmed six (0.3%) deaths during the follow-up period. Over 93% of outpatient paediatric visits for rehabilitative care were related to cerebral palsy and intellectual developmental delay. Health education (87%), rehabilitative exercises (79%) and assistive technology (64%) were the most common interventions.
Conclusions: Surprisingly, the risk of hospitalization was not different between children with NI and those without, possibly because those with severe NI who died before this follow-up were under seclusion and restraint in the community. Evidence-based and tailored rehabilitative interventions are urgently required based on the existing secondary data.
Incidence, risk and impact of unplanned ICU readmission on patient outcomes and resource utilisation in tertiary level ICUs in Nepal: A cohort study
Background: Unplanned readmissions to Intensive Care Units (ICUs) result in increased morbidity, mortality, and ICU resource utilisation (e.g. prolonged mechanical ventilation), and as such, is a widely utilised metric of quality of critical care. Most of the evidence on incidence, characteristics, associated risk factors and attributable outcomes of unplanned readmission to ICU are from studies performed in high-income countries This study explores the determinants of risk attributable to unplanned ICU readmission in four ICUs in Kathmandu, Nepal.
Methods: The registry-embedded eCRF reported data on case mix, severity of illness, in-ICU interventions (including organ support), ICU outcome, and readmission characteristics. Data were captured in all adult patients admitted between September 2019 and February 2021. Population and ICU encounter characteristics were compared between those with and without readmission. Independent risk factors for readmission were assessed using univariate analysis.
Results: In total 2948 patients were included in the study. Absolute unplanned ICU readmission rate was 5.60 % (n=165) for all four ICUs. Median time from ICU discharge to readmission was 3 days (IQR=8,1). Of those readmitted, 29.7% (n=49) were discharged at night following their index admission. ICU mortality was higher following readmission to ICU(p=0.016) and mortality was increased further in patients whose primary index discharge was at night(p= 0.019). Primary diagnosis, age, and use of organ support in the first 24hrs of index admission were all independently attributable risk factors for readmission.
Conclusions: Unplanned ICU readmission rates were adversely associated with significantly poorer outcomes, increased ICU resource utilisation. Clinical and organisational characteristics influenced risk of readmission and outcom
Patterns and Predictors of Timely Presentation and Outcomes of Polytrauma Patients Referred to the Emergency Department of a Tertiary Hospital in Tanzania
Background. Polytrauma patients require special facilities to care for their injuries. In HICs, these patients are rapidly transferred from the scene or the frst-health facility directly to a trauma center. However, in many LMICs, prehospital systems do not exist and there are long delays between arrivals at the frst-health facility and the trauma center. We aimed to quantify the delay and determine the predictors of mortality among polytrauma patients. Methodology. We consecutively enrolled adult polytrauma patients (≥18 years) with ISS >15 referred to the Emergency Medicine Department of Muhimbili National Hospital, a major trauma center in Tanzania between August 2019 and January 2020. Based on a pilot study, the arrival of >6 hours after injury was considered a delay. Te outcome of interest was factors associated with delayed presentation and the association of timeliness with 7-day mortality. Results. We enrolled 120 (4.5%) referred polytrauma adult patients. Te median age was 30 years (IQR 25–39) and the ISS was 29 (IQR 24–34). The majority (85%) were males. While the median time from injury to frst-health facility was 40 minutes (IQR 33–50), the median time from injury to arrival at EMD-MNH, was 377 minutes (IQR 314–469). Delayed presentation was noted in more than half (54.2%) of participants, with the odds of dying being 1.4 times higher in the delayed
group (95% CI 0.3–5.6). Having a GCS <8 (AOR 16.3 (95% CI 3.1–86.3), hypoxia <92% (AOR 8.3 (95% CI 1.4–50.9), and hypotension <90 mmHg (R 7.3 (95% CI 1.6–33.6) were all independent predictors of mortality. Conclusion. Te majority of polytrauma patients arrive at the tertiary facilities delayed for more than 6 hours and a distance of more than 8 km between facilities is associated with delay. Hypotension, hypoxia, and GCS of less than 8 are independent predictors of poor outcome. In the interim, there is a need to expedite the transfer of polytrauma patients to trauma care capable centers.
Cost of open access publishing in otolaryngology-head and neck surgery
Objective
Open access (OA) publishing makes research more accessible but is associated with steep article processing charges (APCs). The study objective was to characterize the APCs of OA publishing in otolaryngology-head and neck surgery (OHNS) journals.
Methods
We conducted a cross-sectional analysis of published policies of 110 OHNS journals collated from three databases. The primary outcomes were the publishing model, APC for original research, and APC waiver policy.
Results
We identified 110 OHNS journals (57 fully OA, 47 hybrid, 2 subscription-only, 4 unknown model). After excluding 12 journals (2 subscription-only, 4 unknown model, 5 OA with unspecified APCs, and 1 OA that accepts publications only from society members), we analyzed 98 journals, 23 of which did not charge APCs. Among 75 journals with nonzero APCs, the mean and median APCs were $2452 and $2900 (interquartile range: $1082–3520). Twenty-five journals (33.3%) offered APC subsidies for authors in low- and middle-income countries (LMICs) and/or on a case-by-case basis. Eighty-five and 25 journals were based in high-income countries (HICs) and LMICs, respectively. The mean APC was higher among HIC journals than LMIC journals ($2606 vs. $958, p < 0.001).
Conclusion
APCs range from tens to thousands of dollars with limited waivers for authors in LMICs.
Building power-ful health systems: the impacts of electrification on health outcomes in LMICs
Critical disparities threaten health care in developing countries and hinder progress towards global development commitments. Almost a billion people and thousands of public services are not yet connected to electricity – a majority in sub-Saharan Africa. In economically fragile settings, clinics and health services struggle to gain and maintain their access to the most basic energy infrastructure. Less than 30% of health facilities in LMICs report access to reliable energy sources, truncating health outcomes and endangering patients in critical conditions. While ‘universal health coverage’ and ‘sustainable energy for all’ are two distinct SDGs with their respective targets, this review challenges their disconnect and inspects their interdependence in LMICs. To evaluate the impact of electrification on healthcare facilities in LMICs, this systematic review analysed relevant publications up to March 2021, using MEDLINE, Embase, Scopus, CENTRAL, clinicaltrials.gov and CINAHL. Outcomes captured were in accordance with the WHO HHFA modules. A total of 5083 studies were identified, 12 fulfilled the inclusion criteria of this review – most were from Africa, with the exception of two studies from India and one from Fiji. Electrification was associated with improvements in the quality of antenatal care services, vaccination rates, emergency capabilities and primary health services; with many facilities reporting high-quality, reliable and continuous oxygen supplies, refrigeration and enhanced medical supply chains. Renewable energy sources were considered in six of the included studies, most highlighting their suitability for rural health facilities. Notably, solar-powered oxygen delivery systems reduced childhood mortality and length of hospital stay. Unavailable and unreliable electricity is a bottleneck to health service delivery in LMICs. Electrification was associated with increased service availability, readiness and quality of care – especially for women, children and those under critical care. This study indicates that stable and clean electrification allows new heights in achieving SDG 3 and SDG7 in LMICs.
Psychoeducation for psychological issues and birth preparedness in LMICs: A systematic review
Background
Psychological issues usually accompany the pregnancy of first-time mothers and psychoeducational interventions might be effective in addressing these concerns and preparing first-time mothers for childbirth and the postnatal period. This study aimed to identify, analyse and synthesise the components as well as determine the effectiveness of psychoeducational interventions that are used for managing psychological issues and enhancing birth preparedness among primigravid women or couples in LMICs.
Method
A systematic search of 12 databases (APA PsycINFO, Emcare, Embase, MEDLINE(R), Ovid Nursing, British Nursing Index, Health and Medical Collection, ProQuest, CINAHL, Cochrane, Hinari and PubMed) was conducted to identify relevant studies published between 1946 and October 2021. Quality of the included studies was appraised by the JBI critical appraisal tool and a narrative synthesis was conducted to analyse data extracted from included articles. The systematic review protocol is registered with PROSPERO (CRD42021237896).
Findings
The initial search yielded 8,658 articles. Sixteen articles including seven randomised controlled trials and nine non-randomised trials met the inclusion criteria and were selected and reviewed for quality. Thirty-nine outcomes were measured in the studies including psychological outcomes, birth preparedness outcomes and other outcomes. The design of the interventions included antenatal education that was delivered through lectures, role plays, trainings, and antenatal counselling. All the psychoeducational interventions had a significant effect (p <. 05; Cohen's d or Hedge’ g = 0.2 to 1.9) on certain psychological outcomes including childbirth attitude, fear of childbirth, depression, fear, and anxiety and birth preparedness outcomes.
Interpretation
Although first-time mothers experience a range of psychological issues during pregnancy, psychoeducational interventions were beneficial in addressing their psychological concerns. It would appear that these interventions are less expensive and could be easily implemented in LMICs. However, rigorous research like RCTs are hereby warranted to standardise the interventions and outcome assessment tools.
Implementing a Neurotrauma Registry in Latin America and the Caribbean
Background Traumatic brain injury (TBI) has a disproportionately greater impact in low- and middle-income countries (LMICs). One strategy to reduce the burden of disease in LMICs is through the implementation of a trauma registry that standardizes the assessment of each patient’s management of care.
Objective This study aims to ascertain the interest of Latin America and the Caribbean (LAC) nations in establishing a shared neurotrauma registry in the regional block, based on an existing framework for collaboration.
Methods A descriptive review was performed regarding the interests of LAC nations in implementing a shared neurotrauma registry in their region. We convened a meeting with seven Caribbean and five Latin American nations.
Results One hundred percent (n = 12) of the LAC representatives including neurosurgeons, neurointensivists, ministers of health, and chief medical officers/emergency medical technicians (EMTs) agreed to adopt the registry for tracking the burden of TBI and associated pathologies within the region.
Conclusion The implementation of a neurotrauma registry can benefit the region through a shared database to track disease, improve outcomes, build research, and ultimately influence policy
COVID-19 and resilience of healthcare systems in ten countries
Declines in health service use during the Coronavirus Disease 2019 (COVID-19) pandemic could have important effects on population health. In this study, we used an interrupted time series design to assess the immediate effect of the pandemic on 31 health services in two low-income (Ethiopia and Haiti), six middle-income (Ghana, Lao People’s Democratic Republic, Mexico, Nepal, South Africa and Thailand) and high-income (Chile and South Korea) countries. Despite efforts to maintain health services, disruptions of varying magnitude and duration were found in every country, with no clear patterns by country income group or pandemic intensity. Disruptions in health services often preceded COVID-19 waves. Cancer screenings, TB screening and detection and HIV testing were most affected (26–96% declines). Total outpatient visits declined by 9–40% at national levels and remained lower than predicted by the end of 2020. Maternal health services were disrupted in approximately half of the countries, with declines ranging from 5% to 33%. Child vaccinations were disrupted for shorter periods, but we estimate that catch-up campaigns might not have reached all children missed. By contrast, provision of antiretrovirals for HIV was not affected. By the end of 2020, substantial disruptions remained in half of the countries. Preliminary data for 2021 indicate that disruptions likely persisted. Although a portion of the declines observed might result from decreased needs during lockdowns (from fewer infectious illnesses or injuries), a larger share likely reflects a shortfall of health system resilience. Countries must plan to compensate for missed healthcare during the current pandemic and invest in strategies for better health system resilience for future emergencies.
Fetal movement trials: where is the evidence in settings with high-burden of stillbirths?
Fetal movement (FM) is a sign of fetal life and wellbeing that is felt by the pregnant woman, and reduced FM is known to precede stillbirths (1,2). Therefore, women may be instructed to monitor and report if movements are fewer than usual (2). In high-income countries, there has been a renewed interest in FM with a recent wave of large-scale randomised controlled clinical trials investigating FM as a potential stillbirth reduction strategy. As published in BJOG, My Baby’s Fetal Movement trial was carried out in Australia/New Zealand, and the Mindfetalness trial in Sweden (3,4). Also, the AFFIRM trial published in the Lancet was conducted in UK and the CEPRA study is ongoing in the Netherlands, UK and Australia (5). None of the completed trials, however, found significant reductions in stillbirths, and they showed conflicting results on some potential harmful consequences such as increased rates of obstetric interventions. In this commentary, we reflect on these trials through a global lens, and we urgently call for more trials; but this time in settings suffering from the vast majority (98%) of the world’s 2 million annual stillbirths
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study
Background
Diabetic retinopathy is a leading cause of preventable blindness, especially in low-income and middle-income countries (LMICs). Deep-learning systems have the potential to enhance diabetic retinopathy screenings in these settings, yet prospective studies assessing their usability and performance are scarce.
Methods
We did a prospective interventional cohort study to evaluate the real-world performance and feasibility of deploying a deep-learning system into the health-care system of Thailand. Patients with diabetes and listed on the national diabetes registry, aged 18 years or older, able to have their fundus photograph taken for at least one eye, and due for screening as per the Thai Ministry of Public Health guidelines were eligible for inclusion. Eligible patients were screened with the deep-learning system at nine primary care sites under Thailand’s national diabetic retinopathy screening programme. Patients with a previous diagnosis of diabetic macular oedema, severe non-proliferative diabetic retinopathy, or proliferative diabetic retinopathy; previous laser treatment of the retina or retinal surgery; other non-diabetic retinopathy eye disease requiring referral to an ophthalmologist; or inability to have fundus photograph taken of both eyes for any reason were excluded. Deep-learning system-based interpretations of patient fundus images and referral recommendations were provided in real time. As a safety mechanism, regional retina specialists over-read each image. Performance of the deep-learning system (accuracy, sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) were measured against an adjudicated reference standard, provided by fellowship-trained retina specialists. This study is registered with the Thai national clinical trials registry, TCRT20190902002.
Findings
Between Dec 12, 2018, and March 29, 2020, 7940 patients were screened for inclusion. 7651 (96·3%) patients were eligible for study analysis, and 2412 (31·5%) patients were referred for diabetic retinopathy, diabetic macular oedema, ungradable images, or low visual acuity. For vision-threatening diabetic retinopathy, the deep-learning system had an accuracy of 94·7% (95% CI 93·0–96·2), sensitivity of 91·4% (87·1–95·0), and specificity of 95·4% (94·1–96·7). The retina specialist over-readers had an accuracy of 93·5 (91·7–95·0; p=0·17), a sensitivity of 84·8% (79·4–90·0; p=0·024), and specificity of 95·5% (94·1–96·7; p=0·98). The PPV for the deep-learning system was 79·2 (95% CI 73·8–84·3) compared with 75·6 (69·8–81·1) for the over-readers. The NPV for the deep-learning system was 95·5 (92·8–97·9) compared with 92·4 (89·3–95·5) for the over-readers.
Interpretation
A deep-learning system can deliver real-time diabetic retinopathy detection capability similar to retina specialists in community-based screening settings. Socioenvironmental factors and workflows must be taken into consideration when implementing a deep-learning system within a large-scale screening programme in LMICs.