The fourth factor was policy issues, referring to cases where the government or the facility itself does not allow for compliance with the signal functions. The fifth factor was designated as “no indication,” meaning that there was no patient group who needed this function. Supplemental Table 4 describes the reasons respondents provided on the survey for each unavailable signal function. Inappropriate supplies/equipment/drugs was the most common reason, as might be expected, and shortage of human resources was another causal factor. One intermediate hospital did not agree with the use of emergency signal functions for sentinel conditions, and answered “no indication” as their reason for non-compliance.It is widely recognized that there is a huge burden caused by trauma and non-communicable diseases in LMICs, where capability for emergency care is believed to be suboptimal.Many studies have tried to assess the state of emergency care in the health facilities of LMICs. Due to the accessibility issue, most studies examined teaching hospitals located in urban areas. Assessment tools were not standardized and were usually developed by the researchers themselves. Domains for assessment were usually related to the availability of resources, and functional aspects were surveyed with qualitative measures, if any. To our knowledge, this study is the first to survey urban and rural Myanmar hospitals using ECAT, the newly developed objective tool for assessing emergency care in health facilities. Our study demonstrated that the performance of emergency signal functions in Myanmar hospitals is inadequate, especially in trauma care. Trauma care in LMICs has been regarded as a role for large hospitals, and direct referral to upper-level facilities is a common practice. Burke et al. found that lack of readily accessible equipment for trauma care and shortage of skilled staff were the main reasons for poor quality trauma care in lower-level health facilities in LMICs.Another study pointed out the limited training opportunities for trauma management in LMICs.
We found similar obstacles to trauma care in Myanmar hospitals,flood and drain tray including the unavailability of items necessary for signal functions. Unlike other LMICs, Myanmar faces a singular geographic and demographic situation. Road conditions are poor. Almost 20 million people live in areas not connected by basic roads. The roads that do exist are unpaved and narrow, contributing to the overall lack of accessibility. The cause of this problem might be found in continuous armed conflicts. Since the independence of Myanmar in 1948, a continuing civil war has devastated the population and infrastructure of the rural areas, which has led to the deterioration of the health status of the country. In areas dominated by violence, residential zones are located away from road access, and the level of medical care is behind the times. Financial support is also lacking.For example, a referral and transport from Matupi Hospital to an adjacent upper-level facility takes as long as 16 hours during rainy seasons due to road damage . In this situation, timely management of patients in a critical condition is virtually impossible, and demands for higher levels of emergency care in basic-level facilities can be raised. Moreover, the results of our study show that some intermediate-level hospitals could not provide resuscitation for critical patients due to the lack of advanced airway management, mechanical ventilators, and defibrillation. Imbalances in the quality of emergency care in both basic- and intermediate-level facilities should be addressed carefully. However, in Myanmar’s special situation where highway infrastructure is lacking and there are problems with long transport times, the ability to administer emergency medical care at a large hospital should be established based on skilled labor and resources. Ouma et al. emphasized that all countries should reach the international benchmark of more than 80% of their populations living within a two-hour travel time to the nearest hospital.Although it cannot be realized in the near future, measures to alleviate accessibility problems can be applied.
Extension of critical signal functions for time-dependent conditions should be considered in selected basic-level facilities.In this regard, ECAT should be validated to include a time factor, such as the referral time to the nearest upper-level facility. We identified the following urgent issues in need of remediation: 1) improvement of trauma-related signal functions in basic-level facilities; 2) improvement of traumaand critical care-related signal functions in intermediate level facilities; and 3) implementation of a comprehensive nationwide survey to uncover emergency care deficiencies in rural areas, with emphasis on the time required for referral to higher-level facilities. Our suggestions to address the issues identified in our study can be summarized as relating to the reinforcement of infrastructure and human resources within each level of facility. In addition, prehospital care and care during inter-facility transportation should receive special attention considering the unique context of Myanmar, with its dispersed residences and extremely long transport times. There has been an effort to establish formal EM in Myanmar. In 2014, the Emergency Medicine Postgraduate Diploma course provided by Australia graduated 18 Myanmar medical officers.These emergency providers will be an imperative asset to setting up a modern emergency medical care delivery system in Myanmar, although most of them will practice in advanced-level facilities. Measures to build the capacity to respond to medical emergencies in rural areas should be pursued in Myanmar. There have already been efforts to improve first-aid skills among local healthcare workers who have a high degree of understanding of the local context, and to employ them as community emergency responders.These local healthcare workers are well informed about the population, hygiene, disease distribution, and the geographical and cultural characteristics of the area; thus, they are able to provide essential first aid and find appropriate health facilities for referrals. This practice has been expanded to the concept of out-of-hospital emergency care . It refers to a wide range of emergency treatments, from the process of recognizing an emergent care situation, to the initial emergency treatments outside the hospital, and transport to the hospital.
The establishment of OHEC has played a role particularly in LMICs by reducing mortality rates by 80%, especially in trauma cases.Since 2000, several organizations have implemented the trauma training course program with non-physician clinicians in Eastern Myanmar. The program comprises various skills for carrying out the initial treatment of trauma, taught through simple simulations and feedback. The findings indicated that survival rates improved significantly among major trauma patients following the implementation of this program. We recognize that some skills covered in the TTC, such as surgical airway management, would be relatively dangerous for health workers to perform in the field, and believe that development and implementation of a training program focused on the operation of emergency signal functions would be more practical for the rural context. Those who are trained in this program could act as prehospital emergency care providers, and also aid basic-level facilities to fill the functional gaps identified in this study. In addition to the above suggestions, a national or provincial strategic plan for reinforcing emergency care in rural areas of Myanmar should be established and implemented. Following a thorough investigational survey, essential resources for each level of health facility should be supplemented. Public education to recognize emergency conditions is another area to be strengthened. In many LMICs, including Myanmar, hydroponic tables canada folk remedies are still commonly attempted before people seek medical attention, especially in the field of obstetrics and gynecology.Recognizing the need for emergency care is crucial because it is the first step leading the patient to the emergency medical care system. Community education should play an important role in preventing delays in the detection of emergency situations.Traditional medicine providers have been the first to participate in this training thus far, and it has been reported to be effective.One limitation of the present study is the possibility of recall bias because we collected the data retrospectively. To minimize this bias, we selected five hospitals first, each of which had a key staff member whom we could contact frequently in a direct way. The other four hospitals were contacted via e-mail as a result of guidance we received from our initial five participants, who put us in direct contact with these additional research hospitals. Another limitation of our study is selection bias, given that the research hospitals taking part were not randomly selected. While the research hospitals were dispersed across various rural areas of Myanmar, they cannot be taken to represent each region,; however, they do provide a snapshot of the different levels of health facilities in Myanmar, and provide us with the basis for planning a more comprehensive survey on a larger scale in the future. Patients are commonly discharged from the emergency department without a pathological diagnosis to explain their symptoms, with one study finding that over one third of patients leave the ED with a symptom-based diagnosis .Studies exploring reasons for return ED visits have identified high levels of patient uncertainty related to lack of a definitive diagnosis as one cause for return.Introduction: Many patients who are discharged from the emergency department with a symptom-based discharge diagnosis have post-discharge challenges related to lack of a definitive discharge diagnosis and follow-up plan. There is no well-defined method for identifying patients with a SBD without individual chart review. We describe a method for automated identification of SBDs from ICD-10 codes using the Unified Medical Language System Metathesaurus. Methods: We mapped discharge diagnosis, with use of ICD-10 codes from a one-month period of ED discharges at an urban, academic ED to UMLS concepts and semantic types. Two physician reviewers independently manually identified all discharge diagnoses consistent with SBDs.
We calculated inter-rater reliability for manual review and the sensitivity and specificity for our automated process for identifying SBDs against this “gold standard.” Results: We identified 3642 ED discharges with 1382 unique discharge diagnoses that corresponded to 875 unique ICD-10 codes and 10 UMLS semantic types. Over one third of ED discharges were assigned codes that mapped to the “Sign or Symptom” semantic type. Inter-rater reliability for manual review of SBDs was very good . Sensitivity and specificity of our automated process for identifying encounters with SBDs were 84.7% and 96.3%, respectively. We describe a novel automated electronic approach using the UMLS to identify groups of patients who have been discharged from the ED with a SBD instead of a disease-specific diagnosis . Using manual physician review as the “gold standard,” we demonstrated a high sensitivity and specificity for the identification of SBDs using the UMLS semantic type of “Sign or Symptom.” The UMLS has been used in prior studies on ED EHR data for purposes including epidemiologic surveillance, constructing chief complaint dictionaries, and automated screening of rare conditions.These applications typically use UMLS with NLP, where free text is analyzed for concepts that were not otherwise captured in the EHR. Our work is different in that it was not intended for use with NLP or decision support, but rather was focused on automating the categorization of data fields that are not disease-specific for the purpose of identifying patients for research. Our recent work suggests that many patients discharged from the ED with a SBD have struggles related to their lack of a definitive diagnosis, with further work needed to explore the challenges unique to this patient population.3,4,16-18 Until now, there has not been a well-defined automated process for identifying these patients based upon their category of diagnosis instead of a specific diagnosis name . Our software was able to identify SBDs with a high sensitivity and specificity on the encounter level. False positives generally appeared to be pain or neurologic syndromes such as “seizure” and “musculoskeletal pain.” Some of these diagnoses are inherently ambiguous, as there are both primary conditions and secondary causes for many of these diagnoses. False negatives appear from predominantly three semantic types: “Finding,” “Disease or Syndrome” and “Pathologic Function.” Further refinement of our software may reduce the frequency of false negatives as we believe many of these diagnoses, such as “acute left ankle pain” or “vaginal discharge,” could also be described as a “Sign or Symptom.” However, it is important to note that the sensitivity of our analysis significantly improved when examining our results on the more clinically-relevant patient encounter level, as opposed to the diagnosis level.