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1.
Afr J Emerg Med ; 12(4): 467-472, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36415448

ABSTRACT

Introduction: Adequate post-intubation sedation and analgesia (PISA) practices are important in the pre-hospital setting where vibration and noise of the transport vehicle may contribute to anxiety and pain in the patient. These practices are poorly described in the pre-hospital setting. This study aims to describe the current pre-hospital PISA practices in a private South African (SA) emergency medical service. Methodology: Patient report forms (PRF) of intubated patients between 1 Jan 2017 and 31 Dec 2017 from a private ambulance service were reviewed. The data were analysed descriptively. Correlations between receiving PISA and various predictive factors were calculated with Spearman's Rank correlations and differences between intubation method were calculated with independent t-tests and Mann-Whitney U tests. A binomial regression model was used to determine predictive factors of receiving PISA. Results: The number of PRFs included for analysis was 437. Of these, 69% of patients received PISA. The estimated time from intubation to 1st PISA ranged from 9 to 12 min. There were statistically significantly more PISA interventions in patients who had received Rocuronium (p < 0.01). There was weak correlation between the number of interventions and the mean arterial pressure, (p < 0.05) and with the transport time to hospital (rs = -0.77, p < 0.01). Conclusion: Sixty nine percent of patients who are intubated pre-hospital receive PISA, which leaves up to 30% without PISA. The time to 1st PISA appears to be shorter in the SA setting. There is an increased number of interventions in the patients who received Rocuronium, which may indicate practitioners being mindful of wakeful paralysis. Patients intubated with RSI are more likely to receive PISA and practitioners take the blood pressure prior to and after intubation into account when administering PISA. Longer transport times attribute to patients receiving more PISA interventions.

2.
Afr J Emerg Med ; 10(4): 203-208, 2020 Dec.
Article in English | MEDLINE | ID: mdl-33299749

ABSTRACT

INTRODUCTION: Acute myocardial infarction (AMI) is a time sensitive emergency. In resource limited settings, prompt identification and management of patients experiencing AMI in the pre-hospital setting may minimise the negative consequences associated with overburdened emergency medical and hospital services. Expedited care thus, in part, relies on the dispatch of appropriate pre-hospital medical providers by emergency medical dispatchers. Identification of these patients in call centres is challenging due to a highly diverse South African society, with multiple languages, cultures, and levels of education. The aim of this study was therefore, to describe the terms used by members of the South African public when calling for an ambulance for patients suffering an AMI. METHODS: In this qualitative study, we performed content analysis to identify keywords and phrases that callers used to describe patients who were experiencing an advanced life support (ALS) paramedic-diagnosed AMI. Using the unique case reference number of randomly selected AMI cases, original voice recordings between the caller and emergency medical dispatcher at the time of the emergency were extracted and transcribed verbatim. Descriptors of AMI were identified, coded and categorised using content analysis, and quantified. RESULTS: Of the 50 randomly selected calls analysed, 5 were not conducted in English. The descriptors used by callers were found to fall into three categories; Pain: Thorax, No pain: Thorax and Ill- health. The code that occurred most often was no pain, heart related (n = 16; 23.2%), followed by the code describing pain in the chest (n = 15; 21.7%). CONCLUSION: South African callers use a consistent set of descriptors when requesting an ambulance for a patient experiencing an AMI. The most common of these are non-pain descriptors related to the heart. These descriptors may ultimately be used in developing validated algorithms to assist dispatch decisions. In this way, we hope to expedite the correct level of care to these time- critical patients and prevent the unnecessary dispatch of limitedly available ALS paramedics to inappropriate cases.

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