Dataset Information

Applying psychological theories to evidence-based clinical practice: identifying factors predictive of lumbar spine x-ray for low back pain in UK primary care practice.

ABSTRACT:

Background

Psychological models predict behaviour in a wide range of settings. The aim of this study was to explore the usefulness of a range of psychological models to predict the health professional behaviour 'referral for lumbar spine x-ray in patients presenting with low back pain' by UK primary care physicians.

Methods

Psychological measures were collected by postal questionnaire survey from a random sample of primary care physicians in Scotland and north England. The outcome measures were clinical behaviour (referral rates for lumbar spine x-rays), behavioural simulation (lumbar spine x-ray referral decisions based upon scenarios), and behavioural intention (general intention to refer for lumbar spine x-rays in patients with low back pain). Explanatory variables were the constructs within the Theory of Planned Behaviour (TPB), Social Cognitive Theory (SCT), Common Sense Self-Regulation Model (CS-SRM), Operant Learning Theory (OLT), Implementation Intention (II), Weinstein's Stage Model termed the Precaution Adoption Process (PAP), and knowledge. For each of the outcome measures, a generalised linear model was used to examine the predictive value of each theory individually. Linear regression was used for the intention and simulation outcomes, and negative binomial regression was used for the behaviour outcome. Following this 'theory level' analysis, a 'cross-theoretical construct' analysis was conducted to investigate the combined predictive value of all individual constructs across theories.

Results

Constructs from TPB, SCT, CS-SRM, and OLT predicted behaviour; however, the theoretical models did not fit the data well. When predicting behavioural simulation, the proportion of variance explained by individual theories was TPB 11.6%, SCT 12.1%, OLT 8.1%, and II 1.5% of the variance, and in the cross-theory analysis constructs from TPB, CS-SRM and II explained 16.5% of the variance in simulated behaviours. When predicting intention, the proportion of variance explained by individual theories was TPB 25.0%, SCT 21.5%, CS-SRM 11.3%, OLT 26.3%, PAP 2.6%, and knowledge 2.3%, and in the cross-theory analysis constructs from TPB, SCT, CS-SRM, and OLT explained 33.5% variance in intention. Together these results suggest that physicians' beliefs about consequences and beliefs about capabilities are likely determinants of lumbar spine x-ray referrals.

Conclusions

The study provides evidence that taking a theory-based approach enables the creation of a replicable methodology for identifying factors that predict clinical behaviour. However, a number of conceptual and methodological challenges remain.

SUBMITTER: Grimshaw JM

PROVIDER: S-EPMC3125229 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature

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Publications

Applying psychological theories to evidence-based clinical practice: identifying factors predictive of lumbar spine x-ray for low back pain in UK primary care practice.

Grimshaw Jeremy M JM Eccles Martin P MP Steen Nick N Johnston Marie M Pitts Nigel B NB Glidewell Liz L Maclennan Graeme G Thomas Ruth R Bonetti Debbie D Walker Anne A

Implementation science : IS 20110528

<h4>Background</h4>Psychological models predict behaviour in a wide range of settings. The aim of this study was to explore the usefulness of a range of psychological models to predict the health professional behaviour 'referral for lumbar spine x-ray in patients presenting with low back pain' by UK primary care physicians.<h4>Methods</h4>Psychological measures were collected by postal questionnaire survey from a random sample of primary care physicians in Scotland and north England. The outcome ...[more]

PMID: 21619689

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Project description:BackgroundPsychological models are used to understand and predict behaviour in a wide range of settings, but have not been consistently applied to health professional behaviours, and the contribution of differing theories is not clear. This study explored the usefulness of a range of models to predict an evidence-based behaviour -- the placing of fissure sealants.MethodsMeasures were collected by postal questionnaire from a random sample of general dental practitioners (GDPs) in Scotland. Outcomes were behavioural simulation (scenario decision-making), and behavioural intention. Predictor variables were from the Theory of Planned Behaviour (TPB), Social Cognitive Theory (SCT), Common Sense Self-regulation Model (CS-SRM), Operant Learning Theory (OLT), Implementation Intention (II), Stage Model, and knowledge (a non-theoretical construct). Multiple regression analysis was used to examine the predictive value of each theoretical model individually. Significant constructs from all theories were then entered into a 'cross theory' stepwise regression analysis to investigate their combined predictive value.ResultsBehavioural simulation - theory level variance explained was: TPB 31%; SCT 29%; II 7%; OLT 30%. Neither CS-SRM nor stage explained significant variance. In the cross theory analysis, habit (OLT), timeline acute (CS-SRM), and outcome expectancy (SCT) entered the equation, together explaining 38% of the variance. Behavioural intention - theory level variance explained was: TPB 30%; SCT 24%; OLT 58%, CS-SRM 27%. GDPs in the action stage had significantly higher intention to place fissure sealants. In the cross theory analysis, habit (OLT) and attitude (TPB) entered the equation, together explaining 68% of the variance in intention.SummaryThe study provides evidence that psychological models can be useful in understanding and predicting clinical behaviour. Taking a theory-based approach enables the creation of a replicable methodology for identifying factors that may predict clinical behaviour and so provide possible targets for knowledge translation interventions. Results suggest that more evidence-based behaviour may be achieved by influencing beliefs about the positive outcomes of placing fissure sealants and building a habit of placing them as part of patient management. However a number of conceptual and methodological challenges remain.

Project description:BackgroundPsychological models can be used to understand and predict behaviour in a wide range of settings. However, they have not been consistently applied to health professional behaviours, and the contribution of differing theories is not clear. The aim of this study was to explore the usefulness of a range of psychological theories to predict health professional behaviour relating to management of upper respiratory tract infections (URTIs) without antibiotics.MethodsPsychological measures were collected by postal questionnaire survey from a random sample of general practitioners (GPs) in Scotland. The outcome measures were clinical behaviour (using antibiotic prescription rates as a proxy indicator), behavioural simulation (scenario-based decisions to managing URTI with or without antibiotics) and behavioural intention (general intention to managing URTI without antibiotics). Explanatory variables were the constructs within the following theories: Theory of Planned Behaviour (TPB), Social Cognitive Theory (SCT), Common Sense Self-Regulation Model (CS-SRM), Operant Learning Theory (OLT), Implementation Intention (II), Stage Model (SM), and knowledge (a non-theoretical construct). For each outcome measure, multiple regression analysis was used to examine the predictive value of each theoretical model individually. Following this 'theory level' analysis, a 'cross theory' analysis was conducted to investigate the combined predictive value of all significant individual constructs across theories.ResultsAll theories were tested, but only significant results are presented. When predicting behaviour, at the theory level, OLT explained 6% of the variance and, in a cross theory analysis, OLT 'evidence of habitual behaviour' also explained 6%. When predicting behavioural simulation, at the theory level, the proportion of variance explained was: TPB, 31%; SCT, 26%; II, 6%; OLT, 24%. GPs who reported having already decided to change their management to try to avoid the use of antibiotics made significantly fewer scenario-based decisions to prescribe. In the cross theory analysis, perceived behavioural control (TPB), evidence of habitual behaviour (OLT), CS-SRM cause (chance/bad luck), and intention entered the equation, together explaining 36% of the variance. When predicting intention, at the theory level, the proportion of variance explained was: TPB, 30%; SCT, 29%; CS-SRM 27%; OLT, 43%. GPs who reported that they had already decided to change their management to try to avoid the use of antibiotics had a significantly higher intention to manage URTIs without prescribing antibiotics. In the cross theory analysis, OLT evidence of habitual behaviour, TPB attitudes, risk perception, CS-SRM control by doctor, TPB perceived behavioural control and CS-SRM control by treatment entered the equation, together explaining 49% of the variance in intention.ConclusionThe study provides evidence that psychological models can be useful in understanding and predicting clinical behaviour. Taking a theory-based approach enables the creation of a replicable methodology for identifying factors that predict clinical behaviour. However, a number of conceptual and methodological challenges remain.

Project description:BackgroundThe Theory of Planned Behaviour (TPB) has been proposed as a useful framework to investigate professional behaviour, however, was not yet applied to the evaluation of an educational intervention. This study will address this gap by utilising the TPB to evaluate the effectiveness of an education programme delivered by the professional regulator for UK doctors in enhancing three professional behaviours: raising concerns, engaging in reflective practice, and use of regulator confidentiality guidance.MethodsThis is a comprehensive mixed methods study combining qualitative (interviews) and quantitative (quasi-experiment) data. Intervention participants were asked to complete a survey measuring the variables in the TPB (attitudes, subjective norms, perceived behavioural control, and intention) for the three professional behaviours before, immediately post, and 3-months later following the education programme. Ninety-four doctors completed the survey pre/post intervention and 38 at all three times. One hundred and eleven doctors from the same hospital trust who did not take part in the intervention completed the survey at two time points and formed the control group. Forty-two interviews were conducted with intervention participants.ResultsThe quantitative study revealed that the educational intervention significantly improved attitudes (raising concerns, using confidentiality guidance), subjective norms (raising concerns, reflective practice, using confidentiality guidance), perceived control (raising concerns, using confidentiality guidance), and intentions (using confidentiality guidance) (Group and Time interaction; Fs ≥ 3.996, ps ≤ .047, ηp2 ≥ .020). Non-UK graduate doctors' subjective norms towards raising concerns and confidentiality guidance increased significantly after the intervention (Fs ≤ 6.602, ps ≥ .011, ηp2 = .032 F = 6.602, p = .011, ηp2 = .032), but not UK graduates (p > .05). Interviews revealed that doctors had positive views about professional behaviours but also mentioned numerous barriers to actually engage in more complex, context dependent behaviours.ConclusionsThis study demonstrates that an educational intervention was successful in improving the TPB variables of three professional behaviours. It also revealed that teaching professionalism does not happen in isolation and, therefore, personal and contextual factors are crucial to consider. To change complex professional behaviours, barriers at all levels i.e., personal, organisational and system, should be addressed.

Project description:BACKGROUND:Clinical practice guidelines suggest that magnetic resonance imaging of the lumbar spine (LS-MRI) is unneeded during the first 6 weeks of acute, uncomplicated low-back pain. Unneeded LS-MRIs do not improve patient outcomes, lead to unnecessary surgeries and procedures, and cost the US healthcare system about $300 million dollars per year. However, why primary care providers (PCPs) order unneeded LS-MRI for acute, uncomplicated low-back pain is poorly understood. OBJECTIVE:To characterize and explain the factors contributing to PCPs ordering unneeded LS-MRI for acute, uncomplicated low-back pain. DESIGN:Qualitative study using semi-structured interviews. PARTICIPANTS:Veterans Affairs PCPs identified from administrative data as having high or low rates of guideline-concordant LS-MRI ordering in 2016. APPROACH:Providers were interviewed about their use of LS-MRI for acute, uncomplicated low-back pain and factors contributing to their decision-making. Directed content analysis of transcripts was conducted to identify and compare environmental-, patient-, and provider-level factors contributing to unneeded LS-MRI. KEY RESULTS:Fifty-five PCPs participated (8.6% response rate). Both low (n = 33) and high (n = 22) guideline-concordant providers reported that LS-MRIs were required for specialty care referrals, but they differed in how other environmental factors (stringency of radiology utilization review, management of patient travel burden, and time constraints) contributed to LS-MRI ordering patterns. Low- and high-guideline-concordant providers reported similar patient factors (beliefs in value of imaging and pressure on providers). However, provider groups differed in how provider-level factors (guideline familiarity and agreement, the extent to which they acquiesced to patients, and belief in the value of LS-MRI) contributed to LS-MRI ordering patterns. CONCLUSIONS:Results describe how diverse environmental, patient, and provider factors contribute to unneeded LS-MRI for acute, uncomplicated low-back pain. Prior research using a single intervention to reduce unneeded LS-MRI has been ineffective. Results suggest that multifaceted de-implementation strategies may be required to reduce unneeded LS-MRI.

Dataset Information

Applying psychological theories to evidence-based clinical practice: identifying factors predictive of lumbar spine x-ray for low back pain in UK primary care practice.

Background

Methods

Results

Conclusions

Publications

Applying psychological theories to evidence-based clinical practice: identifying factors predictive of lumbar spine x-ray for low back pain in UK primary care practice.

Similar Datasets

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