Evaluating nuanced practices for initiating decision-making in neurology clinics: a mixed-methods study

Author:

Reuber Markus1ORCID,Chappell Paul2ORCID,Jackson Clare2ORCID,Toerien Merran2ORCID

Affiliation:

1. Academic Neurology Unit, University of Sheffield, Royal Hallamshire Hospital, Sheffield, UK

2. Department of Sociology, University of York, York, UK

Abstract

BackgroundWe report follow-on research from our previous qualitative analysis of how neurologists offer patients choice in practice. This focus reflects the NHS’s emphasis on ‘patient choice’ and the lack of evidence-based guidance on how to enact it. Our primary study identified practices for offering choice, which we called ‘patient view elicitors’ (PVEs) and ‘option-listing’. However, that study was not designed to compare these with recommendations or to analyse the consequences of selecting one practice over another.ObjectivesTo (1) map out (a) the three decision-making practices – recommending, PVEs and option-listing – together with (b) their interactional consequences; (2) identify, qualitatively and quantitatively, interactional patterns across our data set; (3) statistically examine the relationship between interactional practices and self-report data; and (4) use the findings from 1–3 to compare the three practices as methods for initiating decision-making.DesignA mixed-methods secondary analysis of recorded neurology consultations and associated questionnaire responses. We coded every recommendation, PVE and option-list together with a range of variables internal (e.g. patients’ responses) and external to the consultation (e.g. self-reported patient satisfaction). The resulting matrix captured the qualitative and quantitative data for every decision.Setting and participantsThe primary study was conducted in two neurology outpatient centres. A total of 14 neurologists, 223 patients and 114 accompanying others participated.ResultsDistribution of practices – recommending was the most common approach to decision-making. Patient demographics did not appear to play a key role in patterning decisional practices. Several clinical factors did show associations with practice, including (1) that neurologists were more likely to use option-lists or PVEs when making treatment rather than investigation decisions, (2) they were more certain about a diagnosis and (3) symptoms were medically explained. Consequences of practices – option-lists and PVEs (compared with recommendations) – were strongly associated with choice by neurologists and patients. However, there was no significant difference in overall patient satisfaction relating to practices employed. Recommendations were strongly associated with a course of action being agreed. Decisions containing PVEs were more likely to end in rejection. Option-lists often ended in the decision being deferred. There was no relationship between length of consultation and the practice employed.LimitationsA main limitation is that we judged only outcomes based on the recorded consultations and the self-report data collected immediately thereafter. We do not know what happened beyond the consultation.ConclusionsPatient choice is harder to enact than policy directives acknowledge. Although there is good evidence that neurologists are seeking to enact patient choice, they are still more likely to make recommendations. This appears to be partly due to concerns that ‘choice’ might conflict with doctors’ duty of care. Future guidance needs to draw on evidence regarding choice in practice to support doctors and patients to achieve the wider goal of shared decision-making.Future researchTo advance understanding of how interactional practices might have effects beyond the clinic, a priority is to investigate associations between decision-making practices and external outcomes (such as adherence).FundingThe National Institute for Health Research Health Services and Delivery Research programme.

Funder

Health Services and Delivery Research (HS&DR) Programme

Publisher

National Institute for Health Research

Subject

General Economics, Econometrics and Finance

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