Imaging in low back pain: a cross-sectional analysis of Australian early-career general practitioners’ ordering of imaging for non-specific low back pain
Tobias Morgan 1 , Alexandra Sheather 2 , Anna Ralston 2 3 , Elizabeth Holliday 2 , Jean Ball 4 , Mieke van Driel 5 , Andrew Davey 2 3 , Adele Kincses 3 , Amanda Tapley 2 3 , Alison Fielding 2 3 , Dominica Moad 2 3 , Parker Magin
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Abstract
Low back pain is a leading cause of morbidity worldwide, but its cause is often non-specific. Imaging should not take place unless there are specific ‘red flag’ features present, as it does not improve patient outcomes.
To establish prevalence and factors associated with ordering of imaging for new onset non-specific low back pain (new onset NSLBP) by early-career GPs (‘registrars’).
Cross-sectional analysis from a subset of data from the ReCEnT study of GP registrars’ clinical experiences (2010–2018). The outcome was whether imaging was ordered for a patient with new onset NSLBP. Analyses employed univariable and multivariable regression.
A total of 2333 GP registrars (96.0% response rate) contributed data from 325,058 consultations, comprising 508,316 patient problems/diagnoses. A total of 3066 problems/diagnoses (0.6%) were new onset NSLBP. Of the 3066 new onset NSLBP problems/diagnoses, 450 (15%) had imaging ordered. In multivariable models, variables significantly associated with imaging for new onset NSLBP were patient age: 35-64 years (adjusted OR 1.55, P = 0.002) or over 65 years (OR 2.32, P < 0.001) compared to patients aged 15–34 years, ‘seeking in-consultation help from a supervisor’ (OR 1.74, P = 0.009), scheduling of follow-up with the registrar (OR 3.61, P < 0.001) or another GP (OR 2.01, P = 0.013), and ‘generation of learning goals’ (OR 1.96, P = <0.001). Imaging was negatively associated with referral (OR 0.48, P < 0.001) as was ‘prescription of medication’ (OR 0.63, P < 0.001).
Although Australian GP registrars are taking a considered approach to imaging for NSLBP, the prevalence of imaging likely exceeds optimal levels, at significant cost and potentially poorer patient outcomes. Refinement in guidelines regarding appropriate ‘red flags’ for imaging may aid in the further reduction of unnecessary imaging.
Keywords: diagnostic imaging, education, evidence-based practice, family, general practice, graduate, low back pain, medical, physicians.
WHAT GAP THIS FILLS |
What is already known: Low back pain (LBP) guidelines often restrict recommendations for imaging to cases presenting with specific ‘red flags’. Imaging of non-specific LBP (NSLBP) is associated with high economic cost and no prognostic benefit, but imaging continues to be over-utilised in the diagnostic evaluation of LBP in general practice. |
What this study adds: Although Australian GP registrars appear to be taking a considered approach to imaging for NSLBP, the prevalence of imaging likely exceeds optimal levels, at significant cost and potentially poorer patient outcomes. |
Introduction
Low back pain (LBP) is a leading cause of morbidity worldwide, with an estimated 70–90% of people reported to experience LBP at some time.1 The 2021 Global Burden of Disease Study identified LBP as the leading cause of years lived with disability (YLDs) globally.2 In Australia, LBP is the leading cause of both YLDs and disability adjusted life years (DALYs),3,4 and the primary cause for lost work productivity, early retirement, and income poverty.5 In Australia, back pain is very common, with a point prevalence of 25.6%, 12-month prevalence of 67.6%, and lifetime prevalence of 79.2% in adults.6 LBP is the second most common reason Australians seek care from their GP.5 In 2015–2016, the Australian Institute of Health and Welfare (AIHW) reported back problems accounted for 3.1 in every 100 GP presentations for chronic conditions, an increase from 2.6 in every 100 in 2006–2007.1
In 90–95% of clinical presentations,5,7 the cause of LBP is without an identifiable underlying pathology (such as fracture, infection, inflammatory disorder, malignancy, intra-abdominal cause).8 The Australian Commission on Safety and Quality in Health Care’s Low Back Pain Clinical Care Standard states that ‘assessment of a patient with a new presentation of low back pain symptoms, with or without leg pain or other neurological symptoms, focuses on screening for specific and/or serious pathology’.5 For convenience, we will refer to these presentations as new onset non-specific low back pain (new onset NSLBP). Recommended management for NSLBP is conservative, with most cases improving within 6 weeks without investigation or referral.5 Numerous evidence-based guidelines suggest imaging should not routinely take place unless ‘red flag’ features on history and examination are present.9–11
The rationale for these back pain imaging guidelines is a strong body of evidence indicating that imaging for NSLBP does not improve patient outcomes.8,12,13 Incidental findings of spinal disc degeneration are present in 80% of asymptomatic patients aged 50 years and in 96% aged 80 years14 and are not associated with pain.8,15–18 Excessive imaging for NSLBP has raised concern regarding accumulating ionising radiation.19 Imaging has been associated with greater work absence and higher use of other health services,20,21 and early magnetic resonance imaging (MRI) in LBP may be associated with worse outcomes with respect to surgical intervention, opioid prescription, pain, and healthcare costs.22,23
Furthermore, imaging-based diagnostic labels can result in ‘fear-avoidance behaviours’, unnecessary investigations, unwarranted treatment, worsening disability,15 and decreased probability of returning to work.24
Imaging, however, continues to be over-utilised in the diagnostic evaluation of back pain.25,26 This practice raises significant concern for the economic, psychosocial, and health burden incurred.
Early-career GPs, including vocational trainees in specialist general practice, are a key demographic regarding this issue. This early-career phase is vital in establishing persisting patterns of practice. There is evidence for a durable ‘educational imprinting effect’ on clinician behaviour following GP and internal medicine graduate medical training,27 and for persistence of established GP prescribing behaviours.28,29
In this exploratory study, we aimed to establish prevalence and factors associated with potentially inappropriate ordering of imaging for new onset NSLBP by Australian GP registrars.
Methods
This was a cross-sectional analysis of a subset of data from the Registrar Clinical Encounters in Training (ReCEnT) study.
Study setting
Specialist GP training in Australia is conducted within an apprenticeship-like model whereby trainees (registrars) train (for a minimum of three 6-month training terms) in community practices under the supervision of experienced GP clinicians, but with considerable clinical autonomy (including ordering imaging). Registrars also receive out-of-practice education sessions organised on a regional basis.
ReCEnT is an ongoing, multisite inception cohort study that has been conducted in teaching practices across five Australian states and the Australian Capital Territory, commencing in 2010. The analysis reported here used data from 2010 to 2018.
ReCEnT documents the in-consultation clinical and educational practice of Australian GP registrars. The detailed methodology has been published previously.30 In summary, approximately halfway through each of their three mandatory 6-month general practice training rotations, participating GP registrars record details of 60 consecutive office-based consultations (home visits and aged care facility visits are not recorded). The collected data is a registrar self-report of the consultation content (see Supplementary material section S2: Case report form). During the period reported here, reporting was on paper-based Case Report Forms. Collection of the data is an integral component of an registrars’ educational programme.31 Registrars may also elect to provide consent for this data to be used for research purposes.30
In-consultation data recorded include problems/diagnoses managed and imaging requested (subsequently coded according to the International Primary Care Classification-2 PLUS (ICPC-2 PLUS)).32
Outcome variable
The outcome variable was ‘back imaging’ ordered, defined by ICPC-2 PLUS codes listed in Supplementary Table S1.
Independent variables
Independent variables related to the patient, registrar, practice, and consultation.
Patient factors included age, gender, Aboriginal and/or Torres Strait Islander status, being of a non-English speaking background (NESB), the patient being new to the practice, and the patient being new to the registrar.
Registrar factors included age, gender, part-time/full-time status, training term, having worked at the practice before, and being an Australian medical graduate (AMG) or international medical graduate (IMG).
Practice factors included the size of practice (small <6 GPs), if it was a bulk-billing practice (accepting the government rebate as full payment for consultations), rurality/urbanicity (assessed by the Australian Standard Geographical Classification – Remoteness Area (ASGC-RA)),33 socio-economic status for the practice location (according to the Socioeconomic Index for Area Relative Index of Disadvantage (SEIFA-IRSD)),34 and training region. Practice postcode was used to define the ASGC-RA and SEIFA-IRSD.
Consultation factors included duration of consultation (in minutes), number of problems/diagnoses dealt with, the registrar seeking in-consultation information or assistance (from their supervisor or other sources), follow-up scheduled, or referral made (to public clinic/specialist, private specialist, private allied health, other agency (eg physiotherapy) or emergency department/hospital), pathology ordered, or medication prescribed, and whether the registrar indicated that they plan to learn more about a specific problem/diagnosis (ie learning goals were generated).
Statistical analysis
This was a cross-sectional analysis, performed with data collected in 18 six-monthly rounds of ReCEnT data collection, 2010 to 2018.
Analyses included diagnoses/problems characterised as new onset NSLBP. New onset NSLBP was defined by the ICPC-2 PLUS codes listed in Supplementary Table S2. Some of these codes do not explicitly specify the back pain as being ‘low’ back pain. Clinical usage, though, suggests that the great majority would be LBP. That is, the majority of the thoracic or cervical pain would be specifically labelled as such by the registrars. For this reason, non-specified back pain problems/diagnoses were considered to represent LBP and were included in our primary analysis.
We also performed a sensitivity analysis including only ICPC-2 PLUS codes explicitly specifying that the back pain was LBP (listed in Supplementary Table S3).
‘New’ presentations were the first presentation with back pain, or the first time a patient presented with a current episode of recurrent back pain. We also sought evidence beyond the ‘diagnosis/problem’ for indicators of a ‘red flag’ (for example, concurrent imaging of brain, abdomen, or chest). We excluded these from our new onset NSLBP diagnoses/problems (see Supplementary Table S4).
The proportion of registrar problems/diagnoses that were new onset NSLBP was calculated with 95% confidence intervals (95% CI). Descriptive statistics included frequencies for categorical variables and mean with s.d. for continuous variables. To estimate the association of explanatory variables with the outcome, logistic regression was used within the generalised estimating equations (GEE) framework to account for repeated measures within registrars. An exchangeable working correlation structure was assumed.
Covariates with a univariable P-value < 0.20 were considered for inclusion in the multivariable regression model, which was then assessed for model reduction. Covariates that were no longer significant (at P < 0.2) in the multivariable model were tested for removal from the model. These were only removed if their removal did not change the resulting model by an effect size greater than 10%.
The regressions modelled the log-odds that imaging was ordered. Analyses were programmed using STATA 14.1 and SAS V9.4. Significance was declared at the conventional 0.05 level, with the magnitude and precision of effect estimates also used to interpret results.
Results
A total of 2333 GP registrars (96.0% response rate) contributed data from 325,058 consultations, with 508,316 patient problems identified.
The characteristics of participating registrars and their practices are presented in Table 1.
Registrar variables (n = 2333) | n (%) | ||
---|---|---|---|
Registrar gender | Female | 1467 (62.9) | |
Qualified as doctor overseas | Yes | 447 (19.3) | |
College enrolled in | RACGPA | 2168 (97.1) | |
ACRRMB | 39 (1.8) | ||
Both | 26 (1.2) |
Registrar-term or practice-term variables (n = 5470) | n (%) | ||
---|---|---|---|
Registrar age (years) | Mean ± s.d. | 32.5 (6.3) | |
Registrar training term | Term 1 | 2191 (40.1) | |
Term 2 | 1977 (36.1) | ||
Term 3 | 1302 (23.8) | ||
Registrar works full time | Yes | 4104 (77.6) | |
No | 1186 (22.4) | ||
Registrar worked at practice previously | Yes | 1204 (22.3) | |
No | 4200 (77.7) | ||
Registrar does other medical work | Yes | 942 (17.2) | |
No | 4528 (82.8) | ||
Practice routinely bulk bills all patients | Yes | 1430 (26.4) | |
No | 3978 (73.6) | ||
Large practice size (6+ full-time equivalent GPs) | Yes | 3289 (62.3) | |
No | 1990 (37.7) | ||
SEIFA-IRSDC (Decile) of practice | Mean ± s.d. | 5.5 (2.8) |
Main analysis
There were 3066 diagnoses of new onset NSLBP (0.6% of diagnoses/problems), of which imaging was ordered for 450 (15% [95% CI: 13.5–16.0]). Characteristics associated with imaging are shown in Table 2. Results of univariable and multivariable regressions are presented in Table 3.
Factor group | Variable | Class | Back imaging | |||
---|---|---|---|---|---|---|
No | Yes | P | ||||
Patient factors | Patient age group (years) | 0–14 | 105 (91%) | 11 (9%) | <0.001 | |
15–34 | 835 (90%) | 93 (10%) | ||||
35–64 | 1293 (84%) | 238 (16%) | ||||
65+ | 355 (78%) | 102 (22%) | ||||
Patient gender | Male | 1140 (85%) | 206 (15%) | 0.28 | ||
Female | 1426 (86%) | 233 (14%) | ||||
Aboriginal and/or Torres Strait Islander | No | 2412 (86%) | 401 (14%) | 0.52 | ||
Yes | 48 (89%) | 6 (11%) | ||||
Non-English speaking background | No | 2242 (86%) | 372 (14%) | 0.45 | ||
Yes | 241 (87%) | 35 (13%) | ||||
Patient/practice status | Existing patient | 751 (85%) | 130 (15%) | 0.35 | ||
New to registrar | 1534 (85%) | 268 (15%) | ||||
New to practice | 284 (88%) | 39 (12%) | ||||
Registrar factors | Registrar gender | Male | 1074 (85%) | 194 (15%) | 0.44 | |
Female | 1542 (86%) | 256 (14%) | ||||
Registrar full-time or Part-time | Part-time | 539 (86%) | 89 (14%) | 0.75 | ||
Full-time | 1981 (85%) | 342 (15%) | ||||
Training term | Term 1 | 1042 (84%) | 204 (16%) | 0.047 | ||
Term 2 | 968 (87%) | 143 (13%) | ||||
Term 3 | 606 (85%) | 103 (15%) | ||||
Worked at practice previously | No | 2029 (85%) | 362 (15%) | 0.21 | ||
Yes | 564 (87%) | 86 (13%) | ||||
Qualified as doctor in Australia | No | 493 (84%) | 96 (16%) | 0.19 | ||
Yes | 2109 (86%) | 350 (14%) | ||||
Registrar age | Mean (s.d.) | 33 (6) | 33 (7) | 0.20 | ||
Practice factors | Practice size | Small | 942 (86%) | 159 (14%) | 0.88 | |
Large | 1594 (85%) | 273 (15%) | ||||
Practice routinely bulk bills | No | 1867 (86%) | 309 (14%) | 0.20 | ||
Yes | 717 (84%) | 137 (16%) | ||||
Rurality | Major city | 1549 (86%) | 259 (14%) | 0.63 | ||
Inner regional | 645 (84%) | 119 (16%) | ||||
Outer regional remote | 401 (86%) | 63 (14%) | ||||
Region | Region 1 | 578 (84%) | 111 (16%) | 0.28 | ||
Region 2 | 199 (87%) | 30 (13%) | ||||
Region 3 | 350 (88%) | 50 (12%) | ||||
Region 4 | 912 (86%) | 149 (14%) | ||||
Region 5 | 53 (76%) | 17 (24%) | ||||
Region 6 | 379 (85%) | 66 (15%) | ||||
Region 7 | 145 (84%) | 27 (16%) | ||||
SEIFFA-IRSD index A | Mean (s.d.) | 5 (3) | 5 (3) | 0.95 | ||
Consultation factors | Sought help, any source | None | 2246 (87%) | 336 (13%) | <0.001 | |
Supervisor | 151 (71%) | 63 (29%) | ||||
Other sources | 219 (81%) | 51 (19%) | ||||
Consultation duration | Mean (s.d.) | 20 (9) | 22 (9) | 0.001 | ||
Number of problems | Mean (s.d.) | 2 (1) | 2 (1) | 0.96 | ||
Follow-up ordered | None | 1304 (93%) | 93 (7%) | <0.001 | ||
GP appt or phone | 1188 (78%) | 335 (22%) | ||||
With someone else | 124 (85%) | 22 (15%) | ||||
Pathology ordered | No | 2498 (86%) | 417 (14%) | 0.017 | ||
Yes | 118 (78%) | 33 (22%) | ||||
Referral ordered | No | 2001 (84%) | 393 (16%) | <0.001 | ||
Yes | 615 (92%) | 57 (8%) | ||||
Medication prescribed | No | 895 (83%) | 182 (17%) | 0.008 | ||
Yes | 1721 (87%) | 268 (13%) | ||||
Learning goals generated | No | 2121 (88%) | 293 (12%) | <0.001 | ||
Yes | 339 (72%) | 129 (28%) |
Factor group | Variable | Class | Univariate | Adjusted | |||
---|---|---|---|---|---|---|---|
OR (95% CI) | P | OR (95% CI) | P | ||||
Patient factors | Patient age group (years | 0–14 | 0.92 (0.47, 1.79) | 0.8026 | 0.74 (0.35, 1.58) | 0.44 | |
Referent: 15–34 (years) | 35–64 | 1.67 (1.30, 2.15) | <0.0001 | 1.55 (1.17, 2.05) | 0.002 | ||
65+ | 2.57 (1.87, 3.53) | <0.0001 | 2.32 (1.61, 3.33) | <0.001 | |||
Registrar factors | Qualified as doctor in Australia | Yes | 0.84 (0.64, 1.09) | 0.1934 | 0.93 (0.67, 1.28) | 0.64 | |
Registrar age | 1.01 (0.99, 1.03) | 0.1956 | 1.01 (0.99, 1.03) | 0.59 | |||
Consultation factors | Sought information/help | Other sources | 1.56 (1.12, 2.19) | 0.0095 | 1.33 (0.90, 1.96) | 0.15 | |
Referent: no information/help | Supervisor | 2.77 (2.03, 3.78) | <0.0001 | 1.74 (1.15, 2.64) | 0.009 | ||
Consultation duration | 1.02 (1.01, 1.03) | 0.0001 | 1.01 (1.00, 1.02) | 0.13 | |||
Follow-up ordered | Registrar follow-up | 3.92 (3.08, 5.00) | <0.0001 | 3.61 (2.73, 4.76) | <0.0001 | ||
Referent: no follow-up | With someone else | 2.55 (1.57, 4.14) | 0.0002 | 2.01 (1.16, 3.47) | 0.013 | ||
Referral ordered A | Yes | 0.47 (0.35, 0.62) | <0.0001 | 0.48 (0.35, 0.67) | <0.001 | ||
Medication prescribed | Yes | 0.76 (0.62, 0.93) | 0.0081 | 0.63 (0.50, 0.81) | <0.0001 | ||
Learning goals generated | Yes | 2.77 (2.18, 3.52) | <0.0001 | 1.96 (1.45, 2.65) | <0.001 |
On multivariable analysis, patient age (compared to age 15–34 years) 35–64 years (OR 1.55 [95% CI: 1.17, 2.05]) and age 65-or-over (OR 2.32 [95% CI: 1.61, 3.33]), seeking in-consultation supervisory help (OR 1.74 [95% CI: 1.15, 2.64]), scheduling follow-up with themselves (OR 3.61 [95% CI: 2.73, 4.76]) or with another GP (OR 2.01 [95% CI: 1.16, 3.47]), and generation of learning goals (OR 1.96 [95% CI: 1.45, 2.65]) were all significantly associated with increased odds of registrars ordering imaging for new onset NSLBP. Patient referral (OR 0.48 [95% CI: 0.35, 0.67]) and medication prescription (OR 0.63 [95%CI: 0.50, 0.81]) were significantly associated with reduced odds of registrars ordering imaging.
Sensitivity analysis
Including only ICPC-2 PLUS codes explicitly specifying LBP produced similar results to the main analysis. There were 1181 problem/diagnoses specifying new onset NSLBP was LBP, with imaging ordered for 195 (16.5% [95% CI: 14.5–18.7]). The sensitivity analyses characteristics associated with imaging are presented in Supplementary Table S5, and the univariable and multivariable regression results are in Supplementary Table S6.
Discussion
Summary of major findings
Registrars ordered imaging in 15% of cases of new onset NSLBP. New onset NSLBP in patients aged 35–64 years and aged 65 or over (compared with ages 15–34 yers) were more likely to prompt imaging. Registrars seeking in-consultation supervisory help and registrars scheduling follow-up were associated with higher odds of imaging. In consultations where imaging was ordered, registrars were significantly less likely to refer patients to non-GP clinicians or to prescribe medication, and were more likely to generate learning goals.
Interpretation of findings and comparison with existing literature
The proportion of imaging referrals for patients with new onset NSLBP in registrars was more than 10% lower than for patients with ‘nonspecific low back pain’ in the Bettering the Evaluation and Care of Health (BEACH) study of established Australian GPs, 2005–2008 (25.3% [CI: 23.0, 27.5]).25 The ReCEnT methodology is similar to that of BEACH. A recent cross-sectional study of US primary care clinicians shows imaging rates of 18% in the first 28 days of LBP presentations (with ‘red flag’ exclusions similar to those in our analyses).35
Our findings also suggest lower utilisation of imaging compared to those of a large international meta-analysis where a pooled proportion of 24.8% (95% [CI: 19.3, 31.1]) of LBP presentations in primary care prompted imaging.36 However, this review included all LBP presentations, not specific to new onset NSLBP.
Benchmarks for acceptable rates of imaging in NSLBP are difficult to define from the existing literature. Furthermore, previous studies may not be directly comparable with our study methodology. It is likely that a considerable proportion of presentations with ‘specific and/or serious pathology’ would not be diagnosed as new onset NSLBP in our study, but given a specific provisional diagnosis such as spinal fracture, spinal secondary malignancy, or spinal injury. As few as 0.9% of primary care presentations of acute LBP are found to have serious underlying pathology (with almost half of those specific pathologies being diagnosed at first presentation).37 Another UK-based study estimated the prevalence of specific patho-anatomical causes of acute LBP as 0.04% for cauda equina syndrome, 0.7–4.5% for osteoporotic compression fractures, <1% for traumatic fracture, 0.0–0.7% for malignancy, and 0.01% for infection.38 Thus, apart from osteoporotic fracture (for which finding a fracture doesn’t alter acute management),39 significant specific underlying pathologies are very uncommon.
In this context, our finding of 15% of presentations referred for imaging at first presentation seems quite high. Even in the presence of specific pathology, imaging may not be indicated: the Australian Commission on Safety and Quality in Health Care (ACSQHC) recommendations are for delaying imaging pending a trial of therapy when there are weaker risk factors for cancer or suspicion for spondylarthritis, spinal stenosis, or radiculopathy5 (given favourable prognoses for conservatively managed spinal stenosis, radiculopathy, and radicular pain).7
Importantly, despite apparent over-imaging, registrars seem to be practising deliberately and reflectively. Registrars order imaging of new onset NSLBP more often in older patients, suggesting acknowledgement of guideline markers of higher risk of serious pathology, such as osteoporotic fractures or malignancy.5 Imaging was also associated with supervisory advice-seeking and registrars generating learning goals – suggesting pursuit of evidence-based practice rather than reflex ordering of imaging.
Registrars also appear to delay decisions on medication prescription and referral when ordering imaging. This finding suggests registrars are not ordering imaging without due consideration but rather, expect results will be prognostically useful and valuable to later decision-making.
Implications for practice and future research
The frequency of imaging in our findings suggests a need for proactive measures to reduce imaging by GP registrars (and GPs generally, as registrar imaging is likely to reflect patterns of imaging in their training environment).
An identified issue in guidelines for imaging in LBP is the large proportion of patients with acute LBP who present with red flag symptoms, such as ‘age greater than 50’ as a feature for malignancy in spinal pain, and for vertebral fracture in spinal pain with a history of minor trauma.15 This leads to a high number of ‘false positives’ who will then go on to have imaging.7,40 In one Australian study, 80% of patients with acute LBP had at least one red flag present, yet fewer than 1% had medically significant disease.37 This may explain why there was a statistically significant correlation between patient age range of 35–64 and age over 65 years (compared to 15–34 years) and ordering of imaging in new presentations of new onset NSLBP in our study. ACSQHC has deemed aged-related and other red flags as not clinically useful.5 Instead, ACSQHC encourages the use of ‘specific and/or serious pathology’, which entails a more restrictive set of clinical circumstances.5 There is evidence for using a shorter list of red flags, screening only for serious pathology,41 such as specific symptoms/signs suggesting cauda equina syndrome, major risk of cancer, spinal infection, and vertebral fracture.5 Wider appreciation of the epidemiology of ‘specific and/or serious pathology’ as an infrequent cause of LBP, and of less liberal imaging recommendations and guidelines that reflect this emerging evidence, will be expected to reduce rates of imaging for new onset NSLBP.
Additionally, clinicians will need to engage in more focused patient education given evidence that most patients expect imaging.42 Australian guidelines suggest that epidemiological reporting of imaging findings may help patients understand the probability and significance of incidental findings.5 The challenges of reducing NSBP imaging practice via education are recognised,43 however, one study by Wilson et al.44found targeted training reduced the number of injury claims, imaging rates, and physiotherapy referral over a 6–18 month timeframe post intervention. As registrars from different training regions receive different education sessions in relation to LBP imaging, a centrally-delivered or centrally-coordinated education programme would be required to provide comprehensive upskilling of the whole registrar cohort.
Hall et al.42 outline the importance of clinicians’ effective use of communication to engender confidence in patients despite their non-specific diagnosis. The diagnostic label applied to LBP may influence patients’ therapeutic expectations,45 and Bardin et al.7 go as far as to argue for use of nomenclature ‘ordinary backache’ or ‘mechanical back pain’ to avoid the uncertainty inherent in the term NSLBP.
Ongoing monitoring of practices’ imaging rates and further research in this area will be valuable in defining appropriate benchmarks for imaging referral. Such benchmarks would enable meaningful practice feedback aimed at encouraging adherence to guidelines incorporating evidence for more parsimonious indications for imaging.
Strengths and limitations
Strengths of the ReCEnT study include the large cohort of participating registrars and the broad geographical and socio-cultural study footprint.
The response rate is very high for a study of GPs,46 and participants’ actions (including ordering of imaging) is explicitly linked to the problem/diagnosis for which it was ordered.
There are also limitations. We do not have specific data about the presenting symptoms or clinical signs (ie the presence/absence of red flags for LBP), and therefore cannot assess whether specific individual imaging referrals were made appropriately, according to guideline recommendations. But, as above, we are confident that a very small proportion of our new onset NSLBP diagnoses will entail plausible markers of serious underlying pathology. Furthermore, we are unable to differentiate between whether the new presentation was a completely new problem for the patient, or a recurrence/exacerbation of a chronic/recurrent issue.
Our methodology of confining our analyses to new onset NSLBP means that our findings can’t be directly compared with those of studies that included all LBP presentations.
We have dealt with the potential limitation of registrars sometimes merely recording ‘back pain’ (rather than specifying the level of the pain) by conducting a sensitivity analysis including when only back pain was explicitly recorded as low back pain.
Data availability
The data that support this study cannot be publicly shared on Ethics Committee advice.
Conflicts of interest
The authors have no conflicts of interest to declare. All authors have contributed to the manuscript and have agreed to the final submitted version.
Declaration of funding
From 2010 to 2015, ReCEnT was funded by the participating Regional Training Providers, GP Training Valley to Coast, Victorian Metropolitan Alliance, Adelaide to Outback, General Practice Training Tasmania, and Tropical Medicine Training. ReCEnT was funded from 2016 to 2019 by an Australian Government Department of Health commissioned research grant and supported by the GP Synergy Regional Training Organisation. The supporting sources had no involvement in preparation of the data, manuscript or decision to submit for publication.
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