Implementing lung health interventions in low- and middle-income countries: a FRESH AIR systematic review and meta-synthesis.

The vast majority of patients with chronic respiratory disease live in low- and middle-income countries (LMICs). Paradoxically, relevant interventions often fail to be effective particularly in these settings, as LMICs lack solid evidence on how to implement interventions successfully. Therefore, we aimed to identify factors critical to the implementation of lung health interventions in LMICs, and weigh their level of evidence.This systematic review followed Cochrane methodology and Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) reporting standards. We searched eight databases without date or language restrictions in July 2019, and included all relevant original, peer-reviewed articles. Two researchers independently selected articles, critically appraised them (using Critical Appraisal Skills Programme (CASP)/Meta Quality Appraisal Tool (MetaQAT)), extracted data, coded factors (following the Consolidated Framework for Implementation Research (CFIR)), and assigned levels of confidence in the factors (via Grading of Recommendations Assessment, Development and Evaluation-Confidence in the Evidence from Reviews of Qualitative research (GRADE-CERQual)). We meta-synthesised levels of evidence of the factors based on their frequency and the assigned level of confidence (PROSPERO:CRD42018088687).We included 37 articles out of 9111 screened. Studies were performed across the globe in a broad range of settings. Factors identified with a high level of evidence were: 1) "Understanding needs of local users"; 2) ensuring "Compatibility" of interventions with local contexts (cultures, infrastructures); 3) identifying influential stakeholders and applying "Engagement" strategies; 4) ensuring adequate "Access to knowledge and information"; and 5) addressing "Resource availability". All implementation factors and their level of evidence were synthesised in an implementation tool.To conclude, this study identified implementation factors for lung health interventions in LMICs, weighed their level of evidence, and integrated the results into an implementation tool for practice. Policymakers, non-governmental organisations, practitioners, and researchers may use this FRESH AIR (Free Respiratory Evaluation and Smoke-exposure reduction by primary Health cAre Integrated gRoups) Implementation tool to develop evidence-based implementation strategies for related interventions. This could increase interventions' implementation success, thereby optimising the use of already-scarce resources and improving health outcomes.

The socioeconomic burden of chronic lung disease in low-resource settings across the globe - an observational FRESH AIR study.

BACKGROUND: Low-resource settings are disproportionally burdened by chronic lung disease due to early childhood disadvantages and indoor/outdoor air pollution. However, data on the socioeconomic impact of respiratory diseases in these settings are largely lacking. Therefore, we aimed to estimate the chronic lung disease-related socioeconomic burden in diverse low-resource settings across the globe. To inform governmental and health policy, we focused on work productivity and activity impairment and its modifiable clinical and environmental risk factors. METHODS: We performed a cross-sectional, observational FRESH AIR study in Uganda, Vietnam, Kyrgyzstan, and Greece. We assessed the chronic lung disease-related socioeconomic burden using validated questionnaires among spirometry-diagnosed COPD and/or asthma patients (total N = 1040). Predictors for a higher burden were studied using multivariable linear regression models including demographics (e.g. age, gender), health parameters (breathlessness, comorbidities), and risk factors for chronic lung disease (smoking, solid fuel use). We applied identical models per country, which we subsequently meta-analyzed. RESULTS: Employed patients reported a median [IQR] overall work impairment due to chronic lung disease of 30% [1.8-51.7] and decreased productivity (presenteeism) of 20.0% [0.0-40.0]. Remarkably, work time missed (absenteeism) was 0.0% [0.0-16.7]. The total population reported 40.0% [20.0-60.0] impairment in daily activities. Breathlessness severity (MRC-scale) (B = 8.92, 95%CI = 7.47-10.36), smoking (B = 5.97, 95%CI = 1.73-10.22), and solid fuel use (B = 3.94, 95%CI = 0.56-7.31) were potentially modifiable risk factors for impairment. CONCLUSIONS: In low-resource settings, chronic lung disease-related absenteeism is relatively low compared to the substantial presenteeism and activity impairment. Possibly, given the lack of social security systems, relatively few people take days off work at the expense of decreased productivity. Breathlessness (MRC-score), smoking, and solid fuel use are potentially modifiable predictors for higher impairment. Results warrant increased awareness, preventive actions and clinical management of lung diseases in low-resource settings from health policymakers and healthcare workers.

Depression in Final-Year Medical Students in Ho Chi Minh City, Vietnam: The Role of Career-Choice Motivation.

OBJECTIVES: Depression in medical students is concerning, potentially fueled by many stressors including career choice-relating stress. Choosing Medicine is a life-long commitment, and low intrinsic motivation or excessive dependence on family can complicate this decision and adding stress throughout their training. This stress intensifies in the final year, as students lacking personal drive struggle to see themselves continuing the career. Given limited studies on this crucial topic in Asia and Vietnam, we explored direct linkage between career choice motivation and depression in final-year medical students. METHODS: A cross-sectional study was conducted with 569 final-year students between June and July 2020. The Vietnamese Patient Health Questionnaire 9 (PHQ-9) and 16-item CCM questionnaire were used as survey tools. Univariate analysis was used for descriptive statistics (absolute and relative frequency, mean (M), standard deviation (SD). Multinomial logistic regression models were used to explore the relationship between variables using STATA 5.1. RESULTS: The depression among participants was about 24.6% (PHQ-9 cut-off ≥ 12). No difference in gender was found regarding depression. The most acknowledged motivator is securing employment (M = 4.14, SD = 1.02) and the least is parental wishes (M = 3.17, SD = 1.32). Familial influence on career choice significantly increased odds of having "moderately-severe depression" (OR = 1.17, 95% CI 1.04-1.32) and "severe depression" (OR = 1.36, 95% CI 1.10-1.68), whereas, career-choice motivators including satisfaction (OR = .76, 95% CI .60-.97), self-competence (OR = .80, 95% CI .66-.97) and career success (OR = .84, 95% CI .71-.99) were found to be protective factors for depression. CONCLUSIONS: Roughly a quarter of final-year medical students encountered depression. Occupational security ranked as the primary motivator, with parental wish being the least. Familial influence heightened depression risk, while career prospects, satisfaction and self-efficacy acted as protective factors. Medical career paths should align with intrinsic motivations and personal interests for better mental health outcomes.

Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records.

BACKGROUND: Artificial intelligence (AI)-based computational models that analyze breast cancer have been developed for decades. The present study was implemented to investigate the accuracy and efficiency of combined mammography images and clinical records for breast cancer detection using machine learning and deep learning classifiers. METHODS: This study was verified using 731 images from 357 women who underwent at least one mammogram and had clinical records for at least six months before mammography. The model was trained on mammograms and clinical variables to discriminate benign and malignant lesions. Multiple pre-trained deep CNN models to detect cancer in mammograms, including X-ception, VGG16, ResNet-v2, ResNet50, and CNN3 were employed. Machine learning models were constructed using k-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), Artificial Neural Network (ANN), and gradient boosting machine (GBM) in the clinical dataset. RESULTS: The detection performance obtained an accuracy of 84.5% with a specificity of 78.1% at a sensitivity of 89.7% and an AUC of 0.88. When trained on mammography image data alone, the result achieved a slightly lower score than the combined model (accuracy, 72.5% vs. 84.5%, respectively). CONCLUSIONS: A breast cancer-detection model combining machine learning and deep learning models was performed in this study with a satisfactory result, and this model has potential clinical applications.

A comparative study on behavior, awareness and belief about cervical cancer among rural and urban women in Vietnam.

Cervical cancer is the second most common gynecologic cancer in Vietnam but based on the literature, only ~25% of Vietnamese women reported ever being screened for cervical cancer. To inform strategies to reduce the cervical cancer burden in Southern Vietnam where disease incidence is higher than the national average, this study examined behaviors, awareness, barriers, and beliefs about cervical cancer screening among rural and urban women in this geographical region. In October-November 2021, we conducted a cross-sectional study among 196 rural and 202 urban women in Southern Vietnam; participants completed a cervical cancer screening questionnaire. Descriptive analyses and rural-urban differences in screening behavior, awareness, barriers, and beliefs are presented. About half of the rural and urban participants reported ever being screened for cervical cancer. Most participants showed high perceived severity of cervical cancer and benefits of screening. Further, they reported that they would screen if it was recommended by doctors and/or friends/family. However, most women showed low awareness and perceived susceptibility to cervical cancer. Logistical and psychosocial barriers to physician-based screening methods were reported. Based on our results, the World Health Organization 2030 goals for cervical cancer screening are not currently met in Southern Vietnam. Increasing health literacy and engaging doctors and family members/social networks emerged as important avenues to improve screening. HPV (Human papillomavirus) self-sampling is also a potential approach to increase uptake of cervical cancer screening given the identified psychosocial and logistical barriers.

Health-Related Quality of Life Among Patients Recovered From COVID-19.

The Coronavirus disease 2019 (COVID-19) has impacted the lives and well-being of individuals worldwide, affecting both short-term and long-term quality of life. This study aimed to assess health-related quality of life (HRQoL) and associated factors among patients who have recovered from COVID-19. A cross-sectional survey was conducted at 2 hospitals in Ho Chi Minh City, Vietnam between January and March 2022. Data were obtained from patients who recovered from COVID-19 using a structured questionnaire which included the EuroQoL-5 Dimension-5 Level (EQ-5D-5L) scale to quantify problems in 5 health dimensions (mobility, self-care, usual activities, pain/discomfort, anxiety/depression) and the EuroQoL-Visual Analog Scale (EQ-VAS) to determine self-rated health status. Factors associated with HRQoL were determined using a generalized linear model (GLM). A total of 325 participants were included in the analysis. The overall mean score from the EQ-5D-5L and EQ-VAS was 0.86 (SD 0.21) and 78.6 (SD 19.9), respectively. Anxiety/Depression and Pain/Discomfort were the major problems experienced by the participants. Lower HRQoL scores were reported among those who were 60 years and older, female, had comorbidities, persistent symptoms, living alone and experiencing stress (all P < .05). This study showed that there was a significant reduction in HRQoL among individuals who recovered from COVID-19, compared with the general population. The findings suggest that more interventions need to be implemented to increase such individuals' quality of life, particularly for those who exhibit high-risk factors such as females, those with comorbidities, persistent symptoms, living alone and experiencing from stress.

Assessment of COVID-19 Preventive Practice and Associated Factors Among Educators in Vietnam.

BACKGROUND: Educators play a critical role in offering knowledge that is vital to preventing the spread of the COVID-19 in educational settings. This study aims to assess the proportion of preventive practices towards COVID-19 and associated factors among educators in Vietnam. METHODS: A cross-sectional study was conducted on educators at the University of Medicine and Pharmacy at Ho Chi Minh City (UMP) using a self-administered questionnaire between June and August 2020. Online surveys and a multivariable logistic regression analysis were used to determine factors associated with practices. Adjusted odds ratio (AOR) and 95% confidence interval (95% CI) were performed using Stata 14. RESULTS: A total of 779 eligible participants were approached, most of them under 50 years (84.1%), around three-fifth were female (61.0%) and lecturers (61.1%), with only 38.1% of them working at hospitals. Overall, the majority of participants had good preventive practices towards COVID-19 (88.6%). Factors identified as being associated with good practices included participants who are lecturers (AOR 1.8, 95% CI: 1.05-2.97), attending training courses related to COVID-19 (AOR 1.7, 95% CI: 1.05-2.87), working at hospitals (AOR 2.5, 95% CI: 1.28-4.76) and having a higher level of knowledge and attitude relating to COVID-19 (AOR 2.8, 95% CI: 1.52-5.17; AOR 2.8, 95% CI: 1.70-4.48, respectively) (all p < 0.05). CONCLUSION: These findings revealed that most educators reported a good level of preventive practices towards COVID-19. However, lower levels of practices still exist towards COVID-19 among participants who were administrative staff and have less access to training courses related to COVID-19, who reported that they did not work at the hospital and had a lower level of knowledge and attitude related to COVID-19. Because of the important role of educators in the education system, this study is expected to help education and health authorities implement suitable interventions to fill the gaps in practices between educators.

Mapping low-resource contexts to prepare for lung health interventions in four countries (FRESH AIR): a mixed-method study.

BACKGROUND: Effectiveness of health programmes can be undermined when the implementation misaligns with local beliefs and behaviours. To design context-driven implementation strategies, we explored beliefs and behaviours regarding chronic respiratory disease (CRD) in diverse low-resource settings. METHODS: This observational mixed-method study was conducted in Africa (Uganda), Asia (Kyrgyzstan and Vietnam) and Europe (rural Greece and a Roma camp). We systematically mapped beliefs and behaviours using the SETTING-tool. Multiple qualitative methods among purposively selected community members, health-care professionals, and key informants were triangulated with a quantitative survey among a representative group of community members and health-care professionals. We used thematic analysis and descriptive statistics. FINDINGS: We included qualitative data from 340 informants (77 interviews, 45 focus group discussions, 83 observations of community members' households and health-care professionals' consultations) and quantitative data from 1037 community members and 204 health-care professionals. We identified three key themes across the settings; namely, (1) perceived CRD identity (community members in all settings except the rural Greek strongly attributed long-lasting respiratory symptoms to infection, predominantly tuberculosis); (2) beliefs about causes (682 [65·8%] of 1037 community members strongly agreed that tobacco smoking causes symptoms, this number was 198 [19·1%] for household air pollution; typical perceived causes ranged from witchcraft [Uganda] to a hot-cold disbalance [Vietnam]); and (3) norms and social structures (eg, real men smoke [Kyrgyzstan and Vietnam]). INTERPRETATION: When designing context-driven implementation strategies for CRD-related interventions across these global settings, three consistent themes should be addressed, each with common and context-specific beliefs and behaviours. Context-driven strategies can reduce the risk of implementation failure, thereby optimising resource use to benefit health outcomes. FUNDING: European Commission Horizon 2020. TRANSLATIONS: For the Greek, Russian and Vietnamese translations of the abstract see Supplementary Materials section.

Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine.

COVID-19 vaccines are put forward as the most promising solution for combatting the COVID-19 pandemic. This study aims to assess the willingness to get vaccinated against COVID-19 by using the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) as a theoretical framework. A self-administered questionnaire was considered among Vietnamese adult patients between March and May 2021. The dependent variable was a COVID-19 vaccine acceptance, the hierarchical multivariable regression was done to assess the fit of the predictor model and the associations of variables. A total of 462 participants completed the questionnaire, with 80.5% vaccination intention. A model containing demographics, as well as HBM and TPB variables, demonstrated to be a predictor of intention to receive a COVID-19 vaccine, interpreting 39% of the variance (adjusted R 2 = 0.39). For HBM and TPB constructs, respondents were more likely to accept vaccination if they had higher level of cues to action, self-efficacy, and a lower level of the perceived barriers (all P < .001). The theoretical framework provided a predictor of intention to get a COVID-19 vaccine, which is important for elaborating intervention plans to ensure the success of conducting mass vaccination campaigns.

Health Science Students' Perspective on Quality-of-Care-Relating Medical Professionalism.

PURPOSE: Health science students need to be professional to improve quality of care (QOC) in the current Vietnamese healthcare system. Therefore, we aim to evaluate medicine and traditional medicine (TM) students' perception of the professional attributes relating to QOC for improving inter-disciplined professionalism training that promotes QOC in Vietnam. METHODS: The cross-sectional study was carried on 2039 students of 6 years at the University of Medicine and Pharmacy at Ho Chi Minh City (HUMP) from the medical and TM faculty in March, 2021. The Vietnamese American Board of Internal Medicine (ABIM) questionnaire (2011) was used as the survey instrument. The confirmatory factor analysis (CFA) was performed to confirm the validity of the scale in TM students. Mean, Min-Max, standard deviation and sample paired t-test were performed for Likert scale. The one-way ANOVA was used for inferential statistics. RESULTS: The CFA demonstrated the validity of the Vietnamese questionnaire in measuring 4 QOC-relating professional attributes, previously found in medical students for TM students. In both faculties and across academic years, students perceived self-awareness and ensuring QOC as the leading important attribute, while social duty and professional habit as the least important attribute. Contrasting with preclinical phase, students' perception did not differ significantly between the two faculties in their clinical years (p > 0.05). CONCLUSION: TM students share universal QOC-relating professional traits with medical students. Moreover, exposure to clinical environment might increase inter-disciplined agreement on importance of these attributes. However, health sciences students' underestimation of social duty and professional habit persists throughout 6 academic years. Hidden curriculum in clinical training such as specialist-centeredness might hinder the students' improvement in perception of these traits. Therefore, these traits should strongly be emphasized in professionalism training to decrease the effects of hidden curriculum on them.

A systematic approach to context-mapping to prepare for health interventions: development and validation of the SETTING-tool in four countries.

Effectiveness of health interventions can be substantially impaired by implementation failure. Context-driven implementation strategies are critical for successful implementation. However, there is no practical, evidence-based guidance on how to map the context in order to design context-driven strategies. Therefore, this practice paper describes the development and validation of a systematic context-mapping tool. The tool was cocreated with local end-users through a multistage approach. As proof of concept, the tool was used to map beliefs and behaviour related to chronic respiratory disease within the FRESH AIR project in Uganda, Kyrgyzstan, Vietnam and Greece. Feasibility and acceptability were evaluated using the modified Conceptual Framework for Implementation Fidelity. Effectiveness was assessed by the degree to which context-driven adjustments were made to implementation strategies of FRESH AIR health interventions. The resulting Setting-Exploration-Treasure-Trail-to-Inform-implementatioN-strateGies (SETTING-tool) consisted of six steps: (1) Coset study priorities with local stakeholders, (2) Combine a qualitative rapid assessment with a quantitative survey (a mixed-method design), (3) Use context-sensitive materials, (4) Collect data involving community researchers, (5) Analyse pragmatically and/or in-depth to ensure timely communication of findings and (6) Continuously disseminate findings to relevant stakeholders. Use of the tool proved highly feasible, acceptable and effective in each setting. To conclude, the SETTING-tool is validated to systematically map local contexts for (lung) health interventions in diverse low-resource settings. It can support policy-makers, non-governmental organisations and health workers in the design of context-driven implementation strategies. This can reduce the risk of implementation failure and the waste of resource potential. Ultimately, this could improve health outcomes.

Implementing a context-driven awareness programme addressing household air pollution and tobacco: a FRESH AIR study.

Most patients with chronic respiratory disease live in low-resource settings, where evidence is scarcest. In Kyrgyzstan and Vietnam, we studied the implementation of a Ugandan programme empowering communities to take action against biomass and tobacco smoke. Together with local stakeholders, we co-created a train-the-trainer implementation design and integrated the programme into existing local health infrastructures. Feasibility and acceptability, evaluated by the modified Conceptual Framework for Implementation Fidelity, were high: we reached ~15,000 Kyrgyz and ~10,000 Vietnamese citizens within budget (~€11,000/country). The right engaged stakeholders, high compatibility with local contexts and flexibility facilitated programme success. Scores on lung health awareness questionnaires increased significantly to an excellent level among all target groups. Behaviour change was moderately successful in Vietnam and highly successful in Kyrgyzstan. We conclude that contextualising the awareness programme to diverse low-resource settings can be feasible, acceptable and effective, and increase its sustainability. This paper provides guidance to translate lung health interventions to new contexts globally.