Characteristics of Back Pain Attendances at ED
Characteristics of Back Pain Attendances at ED
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.
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.
Inclusion Criteria:

 -  Patients who have attended Darlington Memorial Hospital between 01-08-2016 and
 31-07-2017

 -  Aged 16 or over

 Exclusion Criteria:

 -  Below the age of 16