NCT03762174

Characteristics of Back Pain Attendances at ED

An Investigation Into the Use of Emergency Medical Services by People Attending the Emergency Department With Back Pain

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 62,000 (actual)
• Sponsor: Matt Capsey · Academic / Other
• Sex: All
• Age: 16 Years
• Healthy volunteers: Accepted

Summary

Back pain is experienced by approximately 80% of the population during their life. However, only a small minority (\<1%) will have a medical condition (such as Cauda Equina Syndrome) which requires immediate medical intervention. Currently, it is not known how many people access Emergency Medical Services (EMS) in an attempt to meet their needs for their back pain. The demand on EMS is increasing and many of these patients could be better managed by other services. Additionally, little is known about the characteristics of those accessing EMS due to back pain, or the nature of the contacts regarding issues such as outcome of the patient contact. The aims of this study are: 1. to quantify the prevalence of people accessing EMS via attendance at an Emergency Department (ED) 2. to describe the characteristics of people attending ED with non-traumatic back pain 3. to describe key characteristics of the contact between the service user and EMS 4. to compare the prevalence of attendance, patient characteristics and contact characteristics between people with non-traumatic back pain and the general population of those attending ED. A secondary aim of the work is to explore what factors might predict patient outcomes such as whether the patient self presents or is referred to ED by another service, whether the patient receives analgesics, whether the patient receives a diagnostic scan and whether the patient is admitted to hospital.

Detailed description

Purpose and Design Back Pain is a common cause of pain and disability. The National Institute for Clinical Excellent \[NICE\] (2016) identify back pain as affecting 1 in 10 people and causing more disability than any other condition. In most people back pain resolves within a number of weeks without any healthcare input. For those whose pain does not improve physical and psychological treatments are recommended. These are provided by specialist services and are not available in Emergency Departments or via Ambulance Services (collectively referred to as Emergency Medical Services \[EMS\]). Thus, arguably only a very small minority of patients with back pain, where a severe medical pathology is indicated (e.g. cauda equina syndrome) should need to access EMS. However, anecdotally many people with back pain self-refer to EMS. The prevalence of people self-referring and their characteristics are currently unknown as these figures are not routinely reported although the information exists within the data collected by many trusts. This study aims to analyse anonymised data from the Darlington Memorial Hospital (DMH) Emergency Department (ED) to establish the prevalence of those attending with back pain. The characteristics of people presenting over a 12-month period with back pain, along with characteristics of their contact (e.g. administration of analgesia and the use of diagnostic imaging) will be described and compared to the general characteristics of those attending ED. These characteristics may help to inform healthcare service design, both EMS and non-EMS, to better meet the needs of this patient group. Research Methods This study will be a secondary analysis of an existing NHS database. The study will request anonymised data from DMH ED. The data will cover all adults who have accessed their services in a 12-month period. The information requested will include data related to the attendance, patient demographics/characteristics, geographical location and clinical data. Recruitment The data being used for this study is from a currently existing Trust database and therefore there will be no recruitment of participants. Inclusion/exclusion All individuals over the age of 16 will be included. Those aged under 16 will be excluded as they are not included in clinical guidelines. Risks, Burdens and Benefits The data has been collected for clinical care and not for research purposes. Therefore patients will not have explicitly consented for their information to be used for research. The Information Governance Officer at DMH has confirmed that the data will be in non-personally identifiable form when it is released to the research team and is compliant with Section 33 of the Data Protection Act 1998. The main risk to patients is that their clinical data is being used for research purposes. However identifiable data will only be available to the usual clinical team. Anonymised information will be extracted by a DMH member of staff before it is securely transferred to the team at Teesside University where it will be analysed. Names and addresses will be completely removed from the database before it leaves the NHS. Some publications require raw data to be supplied. This would be supplied but it will be a non-personally identifiable dataset. Confidentiality The Caldicott Principles will be followed: 1. Justify the purpose(s) of obtaining the information 2. Don't use person-identifiable information unless it is absolutely necessary 3. Use the minimum necessary person-identifiable information 4. Access to person-identifiable information should be on a strict need-to-know basis 5. Everyone with access to person-identifiable information should be aware of their responsibilities 6. Understand and comply with the law Problems arising from the processing of identifiable data and how they will be handled The database contains socioeconomic data in the form of patients' postcodes. This socioeconomic data is important as it has been linked to emergency medical service use. A postcode is identifiable data. To overcome this DMH will supply only the first four digits which covers a sufficiently large geographical area that this will no longer be identifiable data. The first four digits will be sufficient to identify a Lower Layer Super Output Area code (LSOA code) which is the equivalent index of socioeconomic status. As the dataset will include all adults attending ED it will inevitably include members of vulnerable groups or others who would usually require additional ethical approval for inclusion in research (for example offenders) however this will not be known to the research team or be apparent in the non-personally identifiable data requested.

Conditions

• Back Pain

Timeline

• Start date: 2016-08-01
• Primary completion: 2017-07-31
• Completion: 2017-07-31
• First posted: 2018-12-03
• Last updated: 2018-12-03