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Objective A vital component of a prehospital emergency care system is getting an injured patient to the right hospital at the right time. Process and information flow mapping are recognised methods to show where efficiencies can be made. We aimed to understand the process and information flows used by the prehospital emergency service in transporting community emergencies in Rwanda in order to identify areas for improvement.Design Two facilitated process/information mapping workshops were conducted. Process maps were produced in real time during discussions and shared with participants for their agreement. They were further validated by field observations.Setting The study took place in two prehospital care settings serving predominantly rural and predominantly urban patients.Participants 24 healthcare professionals from various cadres. Field observations were done on 49 emergencies across both sites.Results Two maps were produced, and four main process stages were described: (1) call triage by the dispatch/call centre team, (2) scene triage by the ambulance team, (3) patient monitoring by the ambulance team on the way to the health facility and (4) handover process at the health facility. The first key finding was that the rural site had multiple points of entry into the system for emergency patients, whereas the urban system had one point of entry (the national emergency number); processes were otherwise similar between sites. The second was that although large amounts of information were collected to inform decision-making about which health facility to transfer patients to, participants found it challenging to articulate the intellectual process by which they used this to make decisions; guidelines were not used for decision-making.Discussion We have identified several areas of the prehospital care processes where there can be efficiencies. To make efficiencies in the decision-making process and produce a standard approach for all patients will require protocolising care pathways.

Over the course of the physical activity transition, machines have largely replaced skeletal muscle as the source of work for locomotion and other forms of occupational physical activity in industrial environments. To better characterize this transition and its effect on back muscles and the spine, we tested to what extent typical occupational activities of rural subsistence farmers demand higher magnitudes and increased variability of back muscle activity and spinal loading compared to occupational activities of urban office workers in Rwanda, and whether these differences were associated with back muscle endurance, the dominant risk factor for back pain. Using electromyography, inertial measurement units, and OpenSim musculoskeletal modeling, we measured back muscle activity and spinal loading continuously while participants performed occupational activities for one hour. We measured back muscle endurance using electromyography median frequency analysis. During occupational work, subsistence farmers activate their back muscles and load their spines at 390% higher magnitudes and with 193% greater variability than office workers. Partial correlations accounting for body mass show magnitude and variability response variables are positively associated with back muscle endurance (R = 0.39–0.90 [P < 0.001–0.210] and R = 0.54–0.72 [P = 0.007–0.071], respectively). Body mass is negatively correlated with back muscle endurance (R = -0.60, P = 0.031), suggesting higher back muscle endurance may be also partly attributable to having lower body mass. Because higher back muscle endurance is a major factor that prevents back pain, these results reinforce evidence that under-activating back muscles and under-loading spines at work increases vulnerability to back pain and may be an evolutionary mismatch. As sedentary occupations become more common, there is a need to study the extent to which occupational and leisure time physical activities that increase back muscle endurance helps prevent back pain. [ABSTRACT FROM AUTHOR]