Skip to main content

Multidisciplinary integration in the context of integrated care

In the context of integrated care, Multidisciplinary Group meetings involve participants from diverse professional groups and organisations and are potential vehicles to advance efficiency improvements within the local health economy. We developed a novel method to characterise the communication within Multidisciplinary Group meetings measuring the extent to which participants integrate and whether this integration leads to improved working. The findings of the study were published in the International Journal of Integrated Care.

We purposively selected four Multidisciplinary Group meetings and conducted a content analysis of audio-recorded and transcribed Case Discussions. Two coders independently coded utterances according to their ‘integrative intensity’ which was defined against three a-priori independent domains - the Level (i.e. Individual, Collective and Systems); the Valence (Problem, Information and Solution); the Focus (Concrete and Abstract). Inter- and intra-rater reliability was tested with Kappa scores on one randomly selected Case Discussion. Standardised weighted mean integration scores were calculated for Case Discussions across utterance deciles, indicating how integrative intensity changed during the conversations.

Twenty-three Case Discussions in four different Multidisciplinary Groups were transcribed and coded. Inter- and intra-rater reliability was good as shown by the Prevalence and Bias-Adjusted Kappa Scores for one randomly selected Case Discussion. There were differences in the proportion of utterances per participant type (Consultant 14.6%; presenting general practitioner 38.75%; Chair 7.8%; non-presenting general practitioner 2.25%; Allied Health Professional 4.8%). Utterances were predominantly coded at low levels of integrative intensity; however, there was a gradual increase (R2 = 0.71) in integrative intensity during the Case Discussions. Based on the analysis of the minutes and action points arising from the Case Discussions, this improved integration did not translate into actions moving forward.

We characterised the Multidisciplinary Groups as having consultative characteristics with some trend towards collaboration, but that best resemble Community-Based Ward Rounds. Although integration scores do increase from the beginning to the end of the Case Discussions, this does not tend to translate into actions for the groups to take forward. The role of the Chair and the improved participation of non-presenting general practitioners and Allied Health Professionals seems important, particularly as the latter contribute well to higher integrative scores. Traditional communication patterns of medical dominance seem to be being perpetuated in the Multidisciplinary Groups. This suggests that more could be done to sensitise participants to the value of full participation from all the members of the group. The method we have developed could be used for ongoing and future evaluations of integrated care projects.

Comments

Popular posts from this blog

What is the difference between primordial prevention and primary prevention?

Primordial prevention and primary prevention are both crucial strategies for promoting health, but they operate at different levels. Primordial prevention aims to address the root causes of health problems and improve the wider determinants of health. It focuses on preventing the emergence of risk factors in the first place by tackling the underlying social, economic, and environmental determinants of health. This involves broad, population-wide interventions such as: Policies that promote healthy food choices: Think about initiatives like taxing sugary drinks to discourage unhealthy consumption, or providing subsidies for fruits and vegetables to make them more accessible. Urban planning that prioritises well-being: This could include creating walkable neighborhoods with safe cycling routes, ensuring access to green spaces for recreation and relaxation, and designing communities that foster social connections. Social programs that address inequality: Initiatives aimed at reducing pov...

UK Covid-19 Inquiry - The Importance of a Strong Primary Healthcare System

In my witness statement for Module 10 of the UK Covid-19 Inquiry, I discuss the pandemic's impact through from the perspectives of  primary care and public health, drawing on my extensive experience as a senior academic at Imperial College London and as a practising GP and NHS Public Health Specialist.  I emphasise that the pandemic disproportionately affected people who were clinically vulnerable, the disabled, ethnic minority communities and those living in deprived areas. The pandemic highlighted how structural inequalities, multigenerational housing, and employment in high-risk frontline roles exacerbated health disparities.  My statement also critiques the weakening of public health infrastructure - particularly for the control of infectious diseases - and the lack of integrated health data systems to identify at-risk groups such as the clinically vulnerable. I also advocated for a more robust preventive healthcare model that prioritises community-based primary care ...

Relevance Over Recall: Rethinking How AI Uses Clinical Data

Our article in the Journal of the Royal Society of Medicine argues that safe and effective AI in healthcare must incorporate mechanisms that emulate human judgement - down-weighting old, inaccurate or superseded information and prioritising what is recent, clinically relevant and reaffirmed - so that AI supports, rather than disrupts, high-quality patient care.  Clinicians constantly revise, reinterpret and filter past information so that only what is relevant, accurate and timely shapes present-day management decisions; medical records function as dynamic “working tools” rather than fixed archives. By contrast, many AI systems lack this capacity for selective forgetting and often treat all historical data as equally meaningful.  This can lead to outdated or low-confidence diagnoses being repeatedly resurfaced, persistent labels influencing clinical expectations, and irrelevant, long-resolved events cluttering summaries and decision-support outputs. Such indiscriminate recall...