Interfacility transfer of pregnant women using publicly funded emergency call centre-based ambulance services: a cross-sectional analysis of service logs from five states in India.

OBJECTIVE: To estimate the proportion of interfacility transfers (IFTs) transported by '108' ambulances and to compare the characteristics of the IFTs and non-IFTs to understand the pattern of use of '108' services for pregnant women in India. DESIGN: A cross-sectional analysis of '108' ambulance records from five states for the period April 2013 to March 2014. Data were obtained from the call centre database for the pregnant women, who called '108'. MAIN OUTCOMES: Proportion of all pregnancies and institutional deliveries in the population who were transported by '108', both overall and for IFT. Characteristics of the women transported; obstetric emergencies, the distances travelled and the time taken for both IFT and non-IFT. RESULTS: The '108' ambulances transported 6 08 559 pregnant women, of whom 34 993 were IFTs (5.8%) in the five states. We estimated that '108' transferred 16.5% of all pregnancies and 20.8% of institutional deliveries. Only 1.2% of all institutional deliveries in the population were transported by '108' for IFTs-lowest 0.6% in Gujarat and highest 3.0% in Himachal Pradesh. Of all '108' IFTs, only 8.4% had any pregnancy complication. For all states combined, on adjusted analysis, IFTs were more likely than non-IFTs to be for older and younger women or from urban areas, and less likely to be for women from high-priority districts, from backward or scheduled castes, or women below the poverty line. Obstetric emergencies were more than twice as likely to be IFTs as pregnant women without obstetric emergencies (OR=2.18, 95% CI 2.09 to 2.27). There was considerable variation across states. CONCLUSION: Only 6% institutional deliveries made use of the '108' ambulance for IFTs in India. The vast majority did not have any complication or emergency. The '108' service may need to consider strategies to prioritise the transfer of women with obstetric emergency and those requiring IFT, over uncomplicated non-IFT

Prevalence of Hearing Impairment in Mahabubnagar District, Telangana State, India.

OBJECTIVES: To estimate the prevalence of hearing impairment in Mahabubnagar district, Telangana state, India. METHODS: A population-based prevalence survey of hearing impairment was undertaken in 2014. Fifty-one clusters of 80 people aged 6 months and older were selected using probability-proportionate-to-size sampling. A two-stage hearing screening was conducted using otoacoustic emissions on all participants followed by pure-tone audiometry on those aged 4 years and older who failed otoacoustic emissions. Cases of hearing impairment were defined using the World Health Organization definition of disabling hearing impairment: a pure-tone average of thresholds at 500, 1000, 2000, and 4000 Hz of ≥41 dB HL for adults and ≥31 dB HL for children based on the better ear. Possible causes of hearing impairment were ascertained by a certified audiologist. Reported hearing difficulties were also measured in this survey and compared with audiometry results. RESULTS: Three thousand five hundred seventy-three people were examined (response rate 87%), of whom 52% were female. The prevalence of disabling hearing impairment was 4.5% [95% confidence interval (CI) = 3.8 to 5.3). Disabling hearing impairment prevalence increased with age from 0.4% in those aged 4 to 17 years (95% CI = 0.2 to 1.1) to 34.7% (95% CI = 28.7 to 41.1) in those aged older than 65 years. No difference in prevalence was seen by sex. Ear examination suggested that the possible cause of disabling hearing impairment was chronic suppurative otitis media for 6.9% of cases and dry perforation for 5.6% cases. For the vast majority of people with disabling hearing impairment, a possible cause could not be established. The overall prevalence of reported or proxy reported hearing impairment was 2.6% (95% CI = 2.0 to 3.4), and this ranged from 0.6% (95% CI = 0.08 to 4.4) in those aged 0 to 3 years to 14.4% (95% CI = 9.8 to 20.7) in those aged older than 65 years. CONCLUSIONS: Disabling hearing impairment in Telangana State is common, affecting approximately 1 in 23 people overall and a third of people aged older than 65 years. These findings suggest that there are a substantial number of individuals with hearing impairment who could potentially benefit from improved access to low-cost interventions

Rapid Assessment of Avoidable Blindness in India

BACKGROUND: Rapid assessment of avoidable blindness provides valid estimates in a short period of time to assess the magnitude and causes of avoidable blindness. The study determined magnitude and causes of avoidable blindness in India in 2007 among the 50+ population. METHODS AND FINDINGS: Sixteen randomly selected districts where blindness surveys were undertaken 7 to 10 years earlier were identified for a follow up survey. Stratified cluster sampling was used and 25 clusters (20 rural and 5 urban) were randomly picked in each district.. After a random start, 100 individuals aged 50+ were enumerated and examined sequentially in each cluster. All those with presenting vision = 50 years were enumerated, and 94.7% examined. Based on presenting vision,, 4.4% (95% Confidence Interval[CI]: 4.1,4.8) were severely visually impaired (vision<6/60 to 3/60 in the better eye) and 3.6% (95% CI: 3.3,3.9) were blind (vision<3/60 in the better eye). Prevalence of low vision (<6/18 to 6/60 in the better eye) was 16.8% (95% CI: 16.0,17.5). Prevalence of blindness and severe visual impairment (<6/60 in the better eye) was higher among rural residents (8.2%; 95% CI: 7.9,8.6) compared to urban (7.1%; 95% CI: 5.0, 9.2), among females (9.2%; 95% CI: 8.6,9.8) compared to males (6.5%; 95% CI: 6.0,7.1) and people above 70 years (20.6%; 95% CI: 19.1,22.0) compared to people aged 50-54 years (1.3%; 95% CI: 1.1,1.6). Of all blindness, 88.2% was avoidable. of which 81.9% was due to cataract and 7.1% to uncorrected refractive errors/uncorrected aphakia. CONCLUSIONS: Cataract and refractive errors are major causes of blindness and low vision and control strategies should prioritize them. Most blindness and low vision burden is avoidable

An assessment of the eye care workforce in Enugu State, south-eastern Nigeria

<p>Abstract</p> <p>Background</p> <p>The availability and distribution of an appropriate eye care workforce are fundamental to reaching the goals of "VISION 2020: The right to sight", the global initiative for the elimination of avoidable blindness launched jointly by the World Health Organization and the International Agency for the Prevention of Blindness with an international membership of nongovernmental organizations, professional associations, eye care institutions and corporations. Periodic evaluation of these parameters is important in the journey towards achieving these goals. The objectives of the study were to determine the availability and distribution of human resources for eye care delivery in Enugu Urban, south-eastern Nigeria.</p> <p>Methods</p> <p>The study was designed as a cross-sectional descriptive survey, the setting for which was all public and privately owned eye care facilities in Enugu Urban, Enugu State, south-eastern Nigeria, in October 2006. The health map of Enugu Urban and the hospital register of the Public Health Department of the Enugu State Ministry of Health were used to identify the eye health care facilities in Enugu Urban. A structured, pretested, researcher-administered questionnaire was used to capture data on cadre and distribution of the eye care personnel in these facilities.</p> <p>Relevant population data were obtained from the Enugu Regional Office of the National Population Commission. Descriptive statistical analysis was used to generate percentages and proportions. Eye care personnel-to-population ratios were calculated and compared to World Health Organization recommendations.</p> <p>Results</p> <p>Out of Enugu State's population of three million, Enugu Urban accounts for 22%. The population of Enugu Urban is distributed between the three-component Local Government Areas comprising Enugu North (31%), Enugu South (30%) and Enugu East (39%). There are 45 eye care facilities (public: 31 (69%); private: 14 (31%)) employing 252 eye care workers (public: 226 (90%); private: 26 (10%)) aged 18 to 63 (mean = 36.1 years, SD = 2 years) comprising males (36: 14%) and females (216: 86%), giving a male-to-female sex ratio of 1:6. The available eye care workforce is unevenly distributed between Enugu North (128: 51%), Enugu South (65: 26%) and Enugu East (59: 23%) Local Government Areas.</p> <p>Conclusion</p> <p>Using broad and crude World Health Organization standards for minimum provider-to-population ratios, there is a sufficient eye care workforce in Enugu Urban. However, the maldistribution of the workforce creates a major barrier to uptake of eye care services. Policy modifications could reverse this maldistribution.</p

Prevalence of Cataract Surgery and Visual Outcomes in Indian Immigrants in Singapore: The Singapore Indian Eye Study

10.1371/journal.pone.0075584PLoS ONE810-POLN

Type III Nrg1 Back Signaling Enhances Functional TRPV1 along Sensory Axons Contributing to Basal and Inflammatory Thermal Pain Sensation

Type III Nrg1, a member of the Nrg1 family of signaling proteins, is expressed in sensory neurons, where it can signal in a bi-directional manner via interactions with the ErbB family of receptor tyrosine kinases (ErbB RTKs) [1]. Type III Nrg1 signaling as a receptor (Type III Nrg1 back signaling) can acutely activate phosphatidylinositol-3-kinase (PtdIns3K) signaling, as well as regulate levels of α7* nicotinic acetylcholine receptors, along sensory axons [2]. Transient receptor potential vanilloid 1 (TRPV1) is a cation-permeable ion channel found in primary sensory neurons that is necessary for the detection of thermal pain and for the development of thermal hypersensitivity to pain under inflammatory conditions [3]. Cell surface expression of TRPV1 can be enhanced by activation of PtdIns3K [4], [5], [6], making it a potential target for regulation by Type III Nrg1. We now show that Type III Nrg1 signaling in sensory neurons affects functional axonal TRPV1 in a PtdIns3K-dependent manner. Furthermore, mice heterozygous for Type III Nrg1 have specific deficits in their ability to respond to noxious thermal stimuli and to develop capsaicin-induced thermal hypersensitivity to pain. Cumulatively, these results implicate Type III Nrg1 as a novel regulator of TRPV1 and a molecular mediator of nociceptive function

Eye health indicators for universal health coverage: results of a global expert prioritisation process.

INTRODUCTION: In its recent World Report on Vision, the WHO called for an updated approach to monitor eye health as part of universal health coverage (UHC). This project sought to develop a consensus among eye health experts from all world regions to produce a menu of indicators for countries to monitor eye health within UHC. METHODS: We reviewed the literature to create a long-list of indicators aligned to the conceptual framework for monitoring outlined in WHO's World Report on Vision. We recruited a panel of 72 global eye health experts (40% women) to participate in a two-round, online prioritisation exercise. Two-hundred indicators were presented in Round 1 and participants prioritised each on a 4-point Likert scale. The highest-ranked 95 were presented in Round 2 and were (1) scored against four criteria (feasible, actionable, reliable and internationally comparable) and (2) ranked according to their suitability as a 'core' indicator for collection by all countries. The top 30 indicators ranked by these two parameters were then used as the basis for the steering group to develop a final menu. RESULTS: The menu consists of 22 indicators, including 7 core indicators, that represent important concepts in eye health for 2020 and beyond, and are considered feasible, actionable, reliable and internationally comparable. CONCLUSION: We believe this list can inform the development of new national eye health monitoring frameworks, monitor progress on key challenges to eye health and be considered in broader UHC monitoring indices at national and international levels

Towards Universal Structure-Based Prediction of Class II MHC Epitopes for Diverse Allotypes

The binding of peptide fragments of antigens to class II MHC proteins is a crucial step in initiating a helper T cell immune response. The discovery of these peptide epitopes is important for understanding the normal immune response and its misregulation in autoimmunity and allergies and also for vaccine design. In spite of their biomedical importance, the high diversity of class II MHC proteins combined with the large number of possible peptide sequences make comprehensive experimental determination of epitopes for all MHC allotypes infeasible. Computational methods can address this need by predicting epitopes for a particular MHC allotype. We present a structure-based method for predicting class II epitopes that combines molecular mechanics docking of a fully flexible peptide into the MHC binding cleft followed by binding affinity prediction using a machine learning classifier trained on interaction energy components calculated from the docking solution. Although the primary advantage of structure-based prediction methods over the commonly employed sequence-based methods is their applicability to essentially any MHC allotype, this has not yet been convincingly demonstrated. In order to test the transferability of the prediction method to different MHC proteins, we trained the scoring method on binding data for DRB1*0101 and used it to make predictions for multiple MHC allotypes with distinct peptide binding specificities including representatives from the other human class II MHC loci, HLA-DP and HLA-DQ, as well as for two murine allotypes. The results showed that the prediction method was able to achieve significant discrimination between epitope and non-epitope peptides for all MHC allotypes examined, based on AUC values in the range 0.632–0.821. We also discuss how accounting for peptide binding in multiple registers to class II MHC largely explains the systematically worse performance of prediction methods for class II MHC compared with those for class I MHC based on quantitative prediction performance estimates for peptide binding to class II MHC in a fixed register