Are we speaking the same language? Nomenclature differences between patients and healthcare providers describing aspects of bronchiectasis: a latent content analysis

<bold>Background:</bold> Previously thought of as an orphan disease, recent advances in diagnostics have led to greater recognition of bronchiectasis. Management of bronchiectasis follows a patient-centred approach, but little is known about patient friendly language in this group. <bold>Aims:</bold> This study aims to identify whether there are differences in common phrases relating to aspects of bronchiectasis. <bold>Methods:</bold> A qualitative data set comprising interviews with 10 patients with bronchiectasis and 8 healthcare professionals was analysed retrospectively (Ethical approval (HCRW): REC No.22/YH/0234). The principles of a summative approach to latent content analysis were followed. <bold>Results:</bold> Some differences in nomenclature between patients and staff were observed. Staff were more likely to describe “fatigue”, whereas patients described being “tired”. Staff talked about “exacerbations”, but this word was not used by any patients, who were more likely to say they were “sick” or “unwell”. Staff mentioned sputum, but patients were more likely to say “stuff” or “bugs”. There were some similarities when describing the challenges of dealing with bronchiectasis, with difficult/difficulty being the most popular choice. <bold>Conclusion:</bold> The results may help inform the development of communication tools to manage health literacy barriers and improve patient care in bronchiectasis.

Authors

Institutions

Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa2383
Primary Topic
Pediatric health and respiratory diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Are we speaking the same language? Nomenclature differences between patients and healthcare providers describing aspects of bronchiectasis: a latent content analysis

Ruth Nancy Barker, Anand S. Shah, William D‐C Man, J Kilduff
Pediatric health and respiratory diseases
article

Are we speaking the same language? Nomenclature differences between patients and healthcare providers describing aspects of bronchiectasis: a latent content analysis

Ruth Nancy Barker, Anand S. Shah, William D‐C Man, J Kilduff
article en

Abstract

<bold>Background:</bold> Previously thought of as an orphan disease, recent advances in diagnostics have led to greater recognition of bronchiectasis. Management of bronchiectasis follows a patient-centred approach, but little is known about patient friendly language in this group. <bold>Aims:</bold> This study aims to identify whether there are differences in common phrases relating to aspects of bronchiectasis. <bold>Methods:</bold> A qualitative data set comprising interviews with 10 patients with bronchiectasis and 8 healthcare professionals was analysed retrospectively (Ethical approval (HCRW): REC No.22/YH/0234). The principles of a summative approach to latent content analysis were followed. <bold>Results:</bold> Some differences in nomenclature between patients and staff were observed. Staff were more likely to describe “fatigue”, whereas patients described being “tired”. Staff talked about “exacerbations”, but this word was not used by any patients, who were more likely to say they were “sick” or “unwell”. Staff mentioned sputum, but patients were more likely to say “stuff” or “bugs”. There were some similarities when describing the challenges of dealing with bronchiectasis, with difficult/difficulty being the most popular choice. <bold>Conclusion:</bold> The results may help inform the development of communication tools to manage health literacy barriers and improve patient care in bronchiectasis.

Royal Brompton & Harefield NHS Foundation Trust (GB), Wessex Institute of Technology (GB)
Openalex Percentile: Top 65%
Pediatric health and respiratory diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.