Background:Chronic obstructive pulmonary disease (COPD), a major cause of morbidity and mortality worldwide, often occurs in the presence of comorbidities, which may influence experience and management of the disease. No prior research seems to have gained perspectives of newly diagnosed primary care COPD patients in the context of multimorbidity.Aims:This qualitative study aimed to explore the impact of a new diagnosis of COPD in the context of multimorbidity and also sought to gain a better understanding of how patients react to the diagnosis and incorporate it into their lives.Methods:Participants were identified from a cohort of primary care patients with multimorbidity recently diagnosed with COPD. Data was collected via semi-structured interviews from nine male and eight female participants. Thematic analysis was performed and the data interpreted from a constructivist perspective.Results:Five core themes regarding COPD were induced: (i) reaction to diagnosis, (ii) impact on function and health behaviour, (iii) factors influencing self-management capacity, (iv) healthcare utilisation and (v) interplay of comorbidities. Most participants had difficulty recognising the importance of COPD and its long-term implications. For many, the salience of another chronic condition outweighed COPD. Self-management capacity and utilisation of healthcare services were challenged by low prioritisation of COPD among other comorbidities.Conclusions:This study provides an insight into how primary care patients feel about being diagnosed with COPD, as well as their prioritisation of the disease in the context of multimorbidity. It highlights the need for tailored education and personalised management incorporating patients’ perspectives in primary care.

Objective Data quality (DQ) must be consistently defined in context. The attributes, metadata, and context of longitudinal real-world data (RWD) have not been formalized for quality improvement across the data production and curation life cycle. We sought to complete a literature review on DQ assessment frameworks, indicators and tools for research, public health, service, and quality improvement across the data life cycle. Materials and Methods The review followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Databases from health, physical and social sciences were used: Cinahl, Embase, Scopus, ProQuest, Emcare, PsycINFO, Compendex, and Inspec. Embase was used instead of PubMed (an interface to search MEDLINE) because it includes all MeSH (Medical Subject Headings) terms used and journals in MEDLINE as well as additional unique journals and conference abstracts. A combined data life cycle and quality framework guided the search of published and gray literature for DQ frameworks, indicators, and tools. At least 2 authors independently identified articles for inclusion and extracted and categorized DQ concepts and constructs. All authors discussed findings iteratively until consensus was reached. Results The 120 included articles yielded concepts related to contextual (data source, custodian, and user) and technical (interoperability) factors across the data life cycle. Contextual DQ subcategories included relevance, usability, accessibility, timeliness, and trust. Well-tested computable DQ indicators and assessment tools were also found. Conclusions A DQ assessment framework that covers intrinsic, technical, and contextual categories across the data life cycle enables assessment and management of RWD repositories to ensure fitness for purpose. Balancing security, privacy, and FAIR principles requires trust and reciprocity, transparent governance, and organizational cultures that value good documentation.

Background: Appropriate resuscitation of hypoxic patients is fundamental in emergency admissions. To achieve this, it is standard practice of ambulance staff to administer high concentrations of oxygen to patients who may be in respiratory distress. A proportion of patients with chronic respiratory disease will become hypercapnic on this. Objectives and methods: A scheme was agreed between the authors' hospital and the local ambulance service, whereby patients with a history of previous hypercapnic acidosis with a PaO 2 .10.0 kPaindicating that oxygen may have worsened the hypercapnia-are issued with ''O 2 Alert'' cards and a 24% Venturi mask. The patients are instructed to show these to ambulance and A&E staff who will then use the mask to avoid excessive oxygenation. The scheme was launched in 2001 and this paper present the results of an audit of the scheme in 2004. Results: A total of 18 patients were issued with cards, and 14 were readmitted on 69 occasions. Sufficient documentation for auditing purposes was available for 52 of the 69 episodes. Of these audited admissions, 63% were managed in the ambulance, in line with card-holder protocol. This figure rose to 94% in the accident and emergency department. Conclusion: These data support the usability of such a scheme to prevent iatrogenic hypercapnia in emergency admissions.

Introduction Countries need to determine their level of digital health capability maturity to assess and mobilize their knowledge, skills, and resources to systematically develop, implement, evaluate, scale up and maintain large-scale implementations of standards-based interoperable digital health tools. Objective Develop a Digital Health Profile and Maturity Assessment Toolkit (DHPMAT) to assist Pacific Island Countries (PICs) to harness digital tools to support national health priorities. Materials and Methods A literature review guided the development of the conceptual framework to underpin the DHPMAT. Key informants collaborated to collect key digital health features and indicators to inform their country’s digital health maturity assessment. The DHPMAT was tested with country stakeholders at a Pacific Health Information Network workshop in 2019. Results A comprehensive list of indicators to describe country digital health profiles (DHP). A digital health maturity assessment tool that uses criteria codeveloped with country stakeholders to assess essential digital health foundations and quality improvement. DHPs created and maturity assessed and packaged into individualized DHPMATs for 13 PICs. PIC users perceived the DHPMAT as useful, especially the congruence with the 2017 WHO WPRO Regional Strategy but noted a “cognitive overload” from a plethora of complex digital health toolkits. Conclusions The cocreation approach optimized currency, accuracy, and appropriateness of information in the DHP, understanding, and use of the DHPMAT to facilitate informed iterative discussion by PICs on their digital health maturity to harness digital tools to strengthen country health systems. The DHPMAT can rationalize the choice and use of existing tools and reduce cognitive overload.

Given the dearth of COPD self-management interventions that specifically acknowledge multi-morbidity in primary care, we aimed to activate COPD patients through personalised self-management support that recognised the implications of co-morbidities. This single-group experimental study included patients aged 40−84 with a spirometry diagnosis of COPD and at least one co-morbidity. A self-management education programme for COPD in the context of multi-morbidity, based on the Health Belief Model, was tailored and delivered to participants by general practice nurses in face-to-face sessions. At 6 months' follow-up, there was significant improvement in patient activation (p < 0.001), COPD-related quality of life (p = 0.012), COPD knowledge (p < 0.001) and inhaler device technique (p = 0.001), with no significant change in perception of multi-morbidity (p = 0.822) or COPD-related multimorbidity (0.084). The programme improved patients' self-efficacy for their COPD as well as overall health behaviour. The findings form an empirical basis for further testing the programme in a large-scale randomised controlled trial.