Chronic respiratory diseases (CRDs), such as asthma and chronic obstructive pulmonary disease (COPD), are among the leading non-communicable diseases (NCDs) worldwide. However, diagnosing CRDs in low-income and middle-income countries (LMICs) remains challenging due to limited access to spirometry and trained professionals. Aggravating the burden, CRDs often coexist with other NCDs, increasing healthcare costs, reducing quality of life and elevating mortality. These challenges highlight the need for simple case-finding approaches for CRDs, such as the COPD in Low-Income and Middle-Income Countries Assessment (COLA-6) questionnaire, to support prompt identification and appropriate care within NCD services in LMICs.

To evaluate the discriminative accuracy, feasibility and implementation of the COLA-6 questionnaire in identifying and managing CRDs in Brazilian Primary Healthcare (PHC) services for NCDs.

The Multimorbidity Approach for REspiratory Solutions (MARES) study consists of three work packages to be conducted in PHC services in São Carlos/SP and São Paulo/SP, Brazil.

MARES-1: A cross-sectional observational study enrolling 859 individuals with at least one NCD receiving care in PHC. The COLA-6 questionnaire will be administered by the research team and compared with quality-assured spirometry. The Chronic Airways Assessment Test (CAAT), Asthma Control Questionnaire (ACQ-7) and fractional exhaled nitric oxide (FeNO) will also be assessed. The diagnostic performance of COLA-6 for identifying CRDs—including COPD, asthma, preserved ratio impaired spirometry, restriction and overlaps—will be assessed using area under receiver operating characteristic curves and 95% CIs.

MARES-2: A cross-sectional observational study enrolling 20 healthcare professionals (physicians, physiotherapists, community health agents and nurses) from five PHC services. These professionals will apply the COLA-6 during routine NCD care to a total sample of 1000 patients. Qualitative interviews will be conducted to explore barriers and facilitators to the implementation of COLA-6, using deductive thematic analysis.

MARES-3: A longitudinal, prospective observational study in which patients from MARES-1 and MARES-2 will be reassessed at 6-month follow-up. A total sample of 473 participants with abnormal spirometry, a diagnosis of CRD or high risk for CRDs is expected. Participants will undergo spirometry, and a subset will be interviewed to explore their healthcare experiences through qualitative thematic analysis. Access to diagnostic and treatment services in Brazil will be assessed. Changes in spirometry values, FeNO, CAAT and ACQ-7 scores from baseline to 6 months in patients from MARES-1 will be analysed.

This study has been approved by the Ethics Committees of Federal University of São Carlos and University of Santo Amaro (UNISA). Ethical approval was also granted by the University College London. Results will be disseminated through peer-reviewed medical journals and presentations at international conferences. Results will improve identification of CRDs, addressing a significant gap in current PHC settings.

NCT07050823/NCT07093021/NCT07134855.

The importance of conducting qualitative research alongside clinical trials of complex healthcare interventions is well established. There are various ways in which these two methodologies can be combined in mixed-methods research, including integrating data and/or results from the qualitative and quantitative strands during analysis, using techniques such as joint displays. The potential benefits of integration during data analysis include understanding intervention mechanisms, reasons for variation in outcomes, ways of tailoring interventions to individuals and barriers and facilitators to implementation. However, integration during data analysis may rarely be undertaken in practice, and the extent to which integration can provide valuable insights appears to be underappreciated in the field.

In this review, we aim to summarise current methods of integrating qualitative and quantitative raw data and/or results during analysis in clinical trials of complex healthcare interventions, and the yield of these different methods. Our specific research questions focus on (1) which integration techniques are used; (2) whether the results meet the study authors’ aims and/or answer their research questions; (3) the insights obtained and/or meta-inferences generated from these techniques (classified as either global or specific, and as relational, predictive, causal, comparative or elaborative); (4) any relationship between these insights and/or meta-inferences and the integration technique used and (5) the quality of these studies.

We will systematically search MEDLINE, Embase, PsycINFO, CENTRAL, CINAHL, Scopus and Web of Science, and manually search reference lists. We will include studies if they integrate, during data analysis, raw data and/or results from a clinical (randomised, non-randomised or single-arm) trial and an embedded or subsequent associated qualitative study of a complex, non-pharmaceutical healthcare intervention (where the effects on a health outcome were measured). Two independent reviewers will screen titles, abstracts and full texts and perform data extraction. We will develop a descriptive account of the data, including mapping the key characteristics of included studies and narratively reporting our findings in relation to each of our research questions. We will explore how integration was undertaken, what insights were obtained and/or meta-inferences generated, and whether and how these relate to the type of integration technique used.

This study does not require ethical approval. We intend to publish our findings in a peer-reviewed open-access journal and to present our findings at national and/or international conferences.

This protocol was registered with Open Science Framework on 22 October 2025 (ref osf.io/yxtb9).

Since 2018, WHO has endorsed the use of whole-genome sequencing (WGS) of Mycobacterium tuberculosis complex isolates to detect drug-resistant tuberculosis (DR-TB). This endorsement was based on the assumption that a faster and more detailed description of the resistance profile would improve treatment prescription for DR-TB by healthcare providers, and hence the treatment outcomes of patients. Nonetheless, this assumption has not been tested in routine clinical practice and different scenarios. In Brazil, WGS is not routinely used for the diagnosis of DR-TB, having been carried out in only a few centres for research purposes. With this trial, we will evaluate whether a WGS-based drug-resistance report improves treatment adequacy in patients with pulmonary DR-TB, compared with the current standard-of-care diagnostic methods used in the state of São Paulo, Brazil.

We will conduct a non-randomised controlled clinical trial with two arms to compare the intervention group (ie, individuals receiving a WGS-based report) with a historical control group (i.e., individuals who received resistance diagnostics based on the standard of care of conventional genotyping and phenotyping techniques). The primary outcome will be the proportion of patients whose treatment scheme was adequate based on complete resistance profile determined by WGS and/or phenotypic drug-susceptibility testing (pDST). Other secondary outcomes will also be considered. The target sample size is 88 eligible patients per group. The intervention group will be prospectively recruited over 18 months and the control group will be composed of patients diagnosed with pulmonary DR-TB up to 2 years before the start of the trial. To ensure comparability, isolates from the control group will undergo WGS retrospectively, and pDST will be performed retrospectively in both groups. This clinical trial will take place in six medical centres for the treatment of DR-TB in the state of São Paulo. This study is intended to support the implementation of the WGS in the routine diagnosis of DR-TB in the state of São Paulo.

Ethical approval was obtained from the Human Research Committee of the Institute of Biomedical Sciences, University of São Paulo, Brazil (CAAE: 79497924.1.1001.5467). Study results will be published in peer-reviewed journals and disseminated to policymakers and stakeholders.

U1111-1308-4669.

This study aimed to estimate reductions in travel-related carbon dioxide (CO₂) emissions, travel time and distance resulting from a telemedicine service for patients with chronic conditions, and to assess its potential to contribute to more equitable access to specialised care in Northeast Brazil.

Cross-sectional study.

Primary healthcare units in the Northeast region of Brazil.

Patients between birth and 104 years of age with chronic conditions who received video-based teleconsultations between June 2022 and November 2023.

The primary outcome was the reduction in travel-related carbon emissions due to avoided in-person referrals. Secondary outcomes included travel time and travel distance savings. Round-trip distances between primary healthcare units and referral centres were estimated using geolocation data. CO₂ emissions were calculated using the Greenhouse Gas (GHG) Protocol adapted to Brazil (Brazilian GHG Protocol Programme), focusing on Scope 3 emissions from patient travel.

A total of 4642 teleconsultations were conducted with 4106 patients. Of these, 4021 (86.6%) avoided in-person referrals, resulting in estimated savings of 226 900 miles in travel distance and 488 584 min in travel time. The estimated CO₂ emissions avoided totalled 21 593 kg (21 930 kg CO₂ equivalent), with a mean of 5.37 kg (SD±5.5) per teleconsultation (5.4 kg CO₂ equivalent ; SD±5.5). Greater travel distance savings were observed among patients living in municipalities with lower Municipal Human Development Index (mean 92.3±104.2 miles vs 17.3±8.4 miles; p

Telemedicine use in Northeast Brazil significantly reduced patient travel, leading to substantial savings in CO₂ emissions. These savings were more pronounced for patients in smaller, less developed municipalities. By reducing the need for travel, telemedicine can improve access to healthcare for remote or underserved populations, while also supporting environmental sustainability.