J Clin Nurs. 2026 Feb 12. doi: 10.1111/jocn.70241. Online ahead of print.
ABSTRACT
OBJECTIVE: To describe the clinical profile, comorbidity burden, follow-up and healthcare utilisation in patients labelled as having Chronic Obstructive Pulmonary Disease (COPD) in Primary Care (PC) nursing consultations.
DESIGN: Real-world data COPD, retrospective, observational study using routinely collected data in electronic health records (EHR). This study adheres to the STROBE reporting guidelines for cross-sectional studies.
LOCATION: Three Primary Care centres in Catalonia, Spain, belong to the Catalan Health Service.
PARTICIPANTS: All patients aged ≥ 15 years with a recorded diagnosis of COPD in their EHR, excluding institutionalised individuals and those deceased before study onset. Final sample: 474 patients (105 women, 369 men; mean age 70 years) from a reference population of 28,000 individuals.
MAIN MEASUREMENTS: Data included socio-demographics, smoking/alcohol, mMRC dyspnea, inhaled therapy/adherence, spirometry, comorbidities, Adjusted Morbidity Groups (GMA), active COPD care plans and 12-month healthcare use.
RESULTS: EHR showed a high rate of missing data in follow-up variables (inhaler adherence 28.5%; dyspnea 17%-20%). Despite that, all participants were 'labelled' as COPD, most of them lacked spirometric confirmation. Active smoking was highly prevalent (52.3% women, 45.0% men). Hypertension, obesity and osteoarthritis were the most common comorbidities; anxiety, depression, osteoporosis and thyroid disorders were more frequent in women. Higher GMA complexity correlated with more Primary Care visits, especially nursing consultations, particularly in patients with cardiovascular disease and diabetes (p < 0.001) for 12 months follow-up. No significant differences between groups were found in urgent or hospital care use.
CONCLUSIONS: EHR-labelled COPD patients with cardiometabolic comorbidity received more structured nursing follow-up and more annual visits than without. Improving EHR recording, integrating spirometry with the EHR, and prioritising high-complexity profiles could enhance monitoring, treatment optimisation and equity-nursing consultations are a key lever.
PATIENT OR PUBLIC CONTRIBUTION: No patients or members of the public were directly engaged in the study design or data analysis. Nevertheless, the research was motivated by patient needs and aims to improve healthcare services.
PMID:41678226 | DOI:10.1111/jocn.70241