Respiratory health evaluation of construction workers using questionnaire

Relevance . With growing economy and flourishing construction industries the comorbidities among construction workers are also raised. They are exposed to various dust, fumes, noxious gases and vapours making them susceptible to chronic airway diseases like Chronic Obstructive Lung Disease. The aim of the study was to evaluate the respiratory health status of construction workers in an unorganised sector. Materials and Methods . The data collected from National Capital of Delhi region in an unorganised sector of construction workers by using a Saint George Respiratory Questionnaire by the Institute of Occupational Health and Environmental research, Basaidarapur, Delhi, India. All the participant response was noted and the answers were evaluated to see respiratory health status of workers. Total 200 workers were evaluated. Total 182 males and 18 female participated in the study. Results and Discussion . 25% of workers reported poor health at the time of the survey, while only 4% of workers considered their health to be very good. Among the main complaints were indicated: cough, sputum production, shortness of breath, chest infections, attacks of wheezing. The overall mean of Saint George Respiratory Questionnaire core was 33.55. It increases with the working period in the construction field with 21.6% for 10years and 49.1 for 30years experienced workers, while workers with 11 to 20 years of experience, the score was 28.4. The Saint George Respiratory Questionnaire score was 35.1 in 21-30 years of experienced construction workers. Conclusion . As a result of the study, construction workers are found to be at high risk of various respiratory diseases and related disabilities. Participants in this study did not receive any treatment for respiratory problems at any clinic. This means the importance of occupational health education and the use of personal protective equipment and safe working conditions for construction workers.

Program Practices Predict Intergenerational Interaction among Youth and Older Adults

Non-familial intergenerational programs engage younger and older people in shared programming for mutual benefit, frequently involving senior centers or adult day programs and preschools. With growing interest in the potential benefits of intergenerational strategies, it is imperative to know their effects on participant interaction during intergenerational programming. To address this knowledge gap, activity leaders at five sites serving older adults and/or preschoolers received training to implement 14 evidence-based practices during intergenerational activities involving 109 older adult and 105 preschool participants over four years. We utilized multi-level modeling to test whether variations in implementation of practices were associated with variations in participants’ responses to programming on a session-by-session basis. For both preschool and older adult participants, analyses revealed that the implementation of certain practices was associated with significantly more intergenerational interaction. Specifically, when person-centered best practices (e.g., leading activities that are age- and role-appropriate for older adults) were implemented, preschoolers (estimate=5.83, SD=2.11, p=0.01 and older adults (estimate=5.11, SD=.10, p=0.02) had more intergenerational interaction. Likewise, when environmental-centered best practices were implemented, such as pairing materials between intergenerational partners, preschoolers (estimate=6.05, SD=1.57, p=0.002) and older adults (estimate=6.50, SD=1.85, p=0.001) had more intergenerational interaction. Our findings reveal session-by-session variation in intergenerational interaction that can be impacted by implementation practices, which highlights the importance of training activity leaders to implement evidence-based practices. Researchers and practitioners should consider how session-by-session variation in program implementation affects participant response.

A Practical 10-Step Guide to Conducting Digital Survey Research (Preprint)

BACKGROUND Background: The use of digital surveys for research in clinical settings is increasing, particularly during the COVID-19 pandemic when much data collection planned to be done in-person is now occurring digitally. Successfully preparing and conducting a digital survey can be challenging for even the most experienced researcher, given the number of platforms available to choose from, intricacies of designing an effective and user-friendly tool, and factors affecting participant response rates. OBJECTIVE Objective: In this article, we present a practical, step-by-step guide to conduct digital survey research. METHODS Methods: Over time, our clinician-led research team has developed a standard process and tools for conducting digital survey research, which we have synthesized into a single resource accessible to all team members. Specific considerations and recommendations unique to digital surveys are included. RESULTS Results: The step-by-step guide has been used successfully by our team to design and carry out high-quality survey research. It can guide the novice or experienced researcher from protocol development through to data collection and knowledge dissemination. CONCLUSIONS Conclusion: We present a practical guide for digital survey research, based on the experience of a clinician-led research team. Researchers, trainees, students, and others conducting health research may find our process and resources helpful to inform their work. Communication templates and tools are provided (see Appendices).

Perceived Metalinguistic and Cognitive Influences of Bilingual Education

Despite the substantial body of academic research regarding the metalinguistic and cognitive effects of bilingual education, most of the literature reports on large-scale experimental studies (e.g., Bialystok et al., 2010) while little is known about how individuals who have participated in bilingual programs view their learning outcomes. The objective of this study was to investigate whether there are trends in the self-perceived outcomes of bilingual immersion education on people who have spent at least four years in a bilingual educational setting. Ten individuals who met this criterion were interviewed and the audio recordings of their interviews were transcribed and analyzed inductively to allow themes to emerge from the participants’ words. Findings indicate there were identifiable themes in how participants perceived their education and the amount of time and specific grade levels spent in bilingual programs tended to correspond with certain participant response patterns. This study has implications for the many emerging Georgia dual language immersion programs and their recruitment strategies. Keywordsbilingual education, dual language immersion, metalinguistic ability, cognitive ability

Using path analysis to test theory of change: a quantitative process evaluation of the MapSan trial

Background Although theory-driven evaluations should have empirical components, few evaluations of public health interventions quantitatively test the causal model made explicit in the theory of change (ToC). In the context of a shared sanitation trial (MapSan) in Maputo, Mozambique, we report findings of a quantitative process evaluation assessing intervention implementation, participant response and impacts on hypothesised intermediary outcomes on the pathway to trial health outcomes. We examine the utility of path analysis in testing intervention theory using process indicators from the intervention’s ToC. Methods Process data were collected through a cross-sectional survey of intervention and control compounds of the MapSan trial > 24-months post-intervention, sampling adult residents and compound leaders. Indicators of implementation fidelity (dose received, reach) and participant response (participant behaviours, intermediary outcomes) were compared between trial arms. The intervention’s ToC (formalised post-intervention) was converted to an initial structural model with multiple alternative pathways. Path analysis was conducted through linear structural equation modelling (SEM) and generalised SEM (probit model), using a model trimming process and grouped analysis to identify parsimonious models that explained variation in outcomes, incorporating demographics of respondents and compounds. Results Among study compounds, the MapSan intervention was implemented with high fidelity, with a strong participant response in intervention compounds: improvements were made to intermediary outcomes related to sanitation ‘quality’ – latrine cleanliness, maintenance and privacy – but not to handwashing (presence of soap / soap residue). These outcomes varied by intervention type: single-cabin latrines or multiple-cabin blocks (designed for > 20 users). Path analysis suggested that changes in intermediary outcomes were likely driven by direct effects of intervention facilities, with little contribution from hygiene promotion activities nor core elements expected to mediate change: a compound sanitation committee and maintenance fund. A distinct structural model for two compound size subgroups (≤ 20 members vs. > 20 members) explained differences by intervention type, and other contextual factors influenced specific model parameters. Conclusions While process evaluation found that the MapSan intervention achieved sufficient fidelity and participant response, the path analysis approach applied to test the ToC added to understanding of possible ‘mechanisms of change’, and has value in disentangling complex intervention pathways. Trial registration MapSan trial registration: NCT02362932 Feb-13-2015.

Shifting attention between modalities: Revisiting the modality-shift effect in autism

Selective attention to a sensory modality has been observed experimentally in studies of the modality-shift effect – a relative performance benefit for targets preceded by a target in the same modality, compared to a different modality. Differences in selective attention are commonly observed in autism and we investigated whether exogenous (automatic) shift costs between modalities are increased. Autistic adults and neurotypical controls made speeded discrimination responses to simple visual, tactile and auditory targets. Shift costs were observed for each target modality in participant response times and were largest for auditory targets, reflective of fast responses on auditory repeat trials. Critically, shift costs were similar between the groups. However, integrating speed and accuracy data using drift-diffusion modelling revealed that shift costs in drift rates (reflecting the quality of information extracted from the stimulus) were reduced for autistic participants compared with neurotypicals. It may be that, unlike neurotypicals, there is little difference between attention within and between sensory modalities for autistic people. This finding also highlights the benefit of combining reaction time and accuracy data using decision models to better characterise selective attention in autism.

Using Path Analysis to Test Theory of Change: A Quantitative Process Evaluation of the MapSan Trial

BackgroundAlthough theory-driven evaluations should have empirical components, few evaluations of public health interventions quantitatively test the causal model made explicit in the theory of change (ToC). In the context of a shared sanitation trial (MapSan) in Maputo, Mozambique, we report findings of a quantitative process evaluation assessing intervention implementation, participant response and impacts on hypothesised intermediary outcomes on the pathway to trial health outcomes. We examine the utility of path analysis in testing intervention theory using process indicators from the intervention’s ToC. MethodsProcess data were collected through a cross-sectional survey of intervention and control compounds of the MapSan trial >24-months post-intervention, sampling adult residents and compound leaders. Indicators of implementation fidelity (dose received, reach) and participant response (participant behaviours, intermediary outcomes) were compared between trial arms. The intervention’s ToC (formalised post-intervention) was converted to an initial structural model with multiple alternative pathways. Path analysis was conducted through linear structural equation modelling (SEM) and generalised SEM (probit model), using a model trimming process and grouped analysis to identify the most parsimonious models that explained variation in outcomes, and incorporating contextual factors of respondents and compounds. ResultsAmong study compounds, the MapSan intervention was implemented with high fidelity, and with a strong participant response in intervention compounds: improvements were made to intermediary outcomes related to sanitation ‘quality’ – latrine cleanliness, maintenance and privacy – but not to handwashing (presence of soap or soap residue). These outcomes varied by type of intervention: single-cabin latrines or multiple-cabin blocks (designed for >20 users). Path analysis suggested that changes in intermediary outcomes were likely driven by direct effects of intervention facilities, with little contribution from hygiene promotion activities nor core ToC elements expected to mediate change: a compound sanitation committee and maintenance fund. A distinct structural model for two compound size subgroups (≤20 members vs. >20 members) explained differences by intervention type, and other contextual factors influenced specific model parameters. ConclusionsWhile process evaluation found that the MapSan intervention achieved sufficient fidelity and participant response, the path analysis approach applied to test the ToC added to understanding of possible ‘mechanisms of change’, and has value in disentangling complex intervention pathways.

Bridging Intention and Action for Employee Well-Being Using the Intentional Action (InAct) Process: Workshop-Lecture Series

Background Employee wellness programs can help manage stress and alleviate burnout. Objective To pilot and disseminate the Intentional Action(InAct) concept for employee wellbeing. Methods Five independent interactive workshop-lectures with an automated audience response system. Descriptive analysis of participant response data. Results Participants (n = 275): rated spirituality, physical environment and nutrition the most highly in contributing to their present well-being. Ninety-eight percent (n = 269) of participants identified a focus area to work on. The well-being area most selected was Exercise, (35% n = 95), however, other non-traditional areas, including Personal and Professional Development (18% n = 48), Relationships and Communication (17% n = 47), were selected, along with mind-body connection and mindful awareness (6% n = 15 and n = 16). Conclusion The pilot engaged employees to reflect and set goals for their future well-being. Healthcare institutions implementing programs should consider a broad range of whole person strategies addressing employee well-being, which go beyond the traditional focus on exercise and nutrition.

Situational judgment test validity: An exploratory model of the participant response process using cognitive and think-aloud interviews.

Background: Situational judgment tests (SJTs) are used in health sciences education to measure examinee knowledge using case-based scenarios. Despite their popularity, there is a significant gap in the validity research on the response process that demonstrates how SJTs measure their intended constructs. A model of SJT response processes has been proposed in the literature by Robert Ployhart; however, few studies have explored and expanded the factors. The purpose of this study was to describe the factors involved in cognitive processes that examinees use as they respond to SJT items in a health professions education context.Methods: Thirty participants—15 student pharmacists and 15 practicing pharmacists—completed a 12-item SJT designed to measure empathy. Each participant engaged in a think-aloud interview while completing the SJT, followed by a cognitive interview probing their decision-making processes. Interviews were transcribed and independently coded by three researchers to identify salient factors that contributed to response processes.Results: The findings suggest SJT response processes include all four stages (comprehension, retrieval, judgment, and response selection) as initially proposed by Ployhart. The study showed factors from other published research were present, including job-specific knowledge and experiences, emotional intelligence, and test-taking. The study also identified new factors not yet described, including identifying a task objective in the scenario, assumptions about the scenario, perceptions about the scenario, and the setting of the item.Conclusions: This study provides additional SJT validity evidence by exploring participants’ response processes through cognitive and think-aloud interviews. It also confirmed the four-stage model previously described by Ployhart and identified new factors that may influence SJT response processes. This study contributes to the literature with an expanded SJT response process model in a health professions education context and offers an approach to evaluate SJT response processes in the future.

Situational judgment test validity: An exploratory model of the participant response process using cognitive and think-aloud interviews.

Background: Situational judgment tests (SJTs) are used in health sciences education to measure examinee knowledge using case-based scenarios. Despite their popularity, there is a significant gap in the validity research on the response process that demonstrates how SJTs measure their intended constructs. A model of SJT response processes has been proposed in the literature by Robert Ployhart; however, few studies have explored and expanded the factors. The purpose of this study was to describe the factors involved in cognitive processes examinees use as they respond to SJT items in a health professions education context.Methods: Thirty participants—15 student pharmacists and 15 practicing pharmacists—completed a 12-item SJT designed to measure empathy. Each participant engaged in a think-aloud interview while completing the SJT, followed by a cognitive interview probing their decision-making processes. Interviews were transcribed and independently coded by three researchers to identify salient factors that contributed to response processes.Results: The findings suggest SJT response processes include all four stages (comprehension, retrieval, judgment, and response selection) as initially proposed by Ployhart. The study showed factors from other published research were present, including job-specific knowledge and experiences, emotional intelligence, and test-taking. The study also identified new factors not yet described, including identifying a task objective in the scenario, assumptions about the scenario, perceptions about the scenario, and the setting of the item.Conclusions: This study provides additional SJT validity evidence by exploring participants’ response processes through cognitive and think-aloud interviews. It also confirmed the four-stage model previously described by Ployhart and identified new factors that may influence SJT response processes. This study contributes to the literature with an expanded SJT response process model in a health professions education context and offers an approach to evaluate SJT response processes in the future.