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In large transdisciplinary research teams finding the balance between using the most appropriate and needed measures for data collection and minimising participant burden is often a significant challenge. This paper aims to describe the development process for selecting a set of determinants of physical activity behaviours in 9–12 years old children. An internal small group (n = 8) worked iteratively with an external large group of experts and stakeholders (n = 30-50) in three steps: 1) External input – Identification through expert opinion; 2) Internal input – Identification and selection via a systematized approach; 3) External validation of the selected measures. During these steps, 113 measures were first identified, then scored, sorted, and selected using evidence-building practices such as systematic literature reviews, peer-review, and consensus discussions. Eighteen measures were agreed and included in the core measures toolkit (child and caregiver questionnaires). In conclusion, pragmatism, implementation concerns, and the experts' experience were key in this process. This process may be considered as a reference to others involved in the challenge of selecting measures in their research. [ABSTRACT FROM AUTHOR]

Objective: Patient reported experience measures (PREMs) are common tools utilised in hospitals to support quality improvements, allow consumers to provide feedback on care experiences and can be used to support consumers' hospital selections. This study aimed to understand the views and opinions of private hospital staff on PREM use and the utility of PREMs as a consumer decision-making tool. Method: Qualitative, semi-structured interview study conducted via telephone between March-June 2023. Participants (n = 10) were recruited from major private healthcare providers in Australia with half representing hospital-based staff and the other half corporate head office staff who work in patient experience and quality. Interviews were audio-recorded, transcribed, and analysed thematically. Results: PREM benefits included an understanding of patient experience that improved provision of patient centred care with feedback acting as catalyst for change, to corporate-level strategic initiatives that address specific issues. Drawbacks of PREM reporting included concerns around skewed results by biased respondents, and completion based on hard to alter items (e.g., infrastructure) or on matters outside of hospital control (e.g., insurance). Staff had mixed reactions to consumers using PREMs results when selecting a hospital, some advocated for transparency while others feared consumers would misinterpret the data. Conclusions: Improved real-time reporting of PREMs, learning from other industries about recording customer experience, and mandatory reporting by private hospitals could further the benefits of PREM measurement in private healthcare. Recognised was the need for PREMs to be displayed in a readily understood way so those with limited health literacy can correctly interpret. [ABSTRACT FROM AUTHOR]

Objective: Describe the epidemiology of cluster headache (CH) using Veterans Health Administration (VHA) Electronic Health Record (EHR) data. Background: Epidemiologic studies of CH at the population level are difficult because it has a prevalence of ~0.1%. Hospital system‐wide studies are an attractive alternative as they have large numbers of patients and broader populations than headache or neurology clinic‐based studies. The VHA is an ideal hospital‐based system in which to study CH because it is nationwide, predominantly male, has a strong focus on mood disorders and suicidality, and has accessible individual medical records. Here, we report the first headache study based on an ongoing longitudinal cohort of patients with CH using VHA EHR data. Methods: The VHA EHR data were accessed from Fiscal Year 2008 to 2019. Patients with CH consisted of all patients with at least one outpatient visit containing a CH diagnosis code from the International Classification of Diseases (ICD)‐9 or ‐10. We extracted data on demographic features, incidence, and prevalence, as well as pain and psychiatric comorbidities. Results: Of the 1,524,960 distinct patients who presented for headache treatment in the VHA between Fiscal Year 2008–2019, 24,131 had at least one visit with a CH diagnosis. The 1‐year period prevalence of a CH diagnosis in the VHA ranges from 0.08% to 0.10% for women and 0.10% to 0.18% for men. A larger proportion of women versus men received a diagnosis of unspecified CH (59.6% [1412/2368] vs. 53.6% [11,663/21,763], p < 0.001). Most patients with CH had both comorbid headache and non‐headache pain diagnoses. Headache not‐otherwise‐specified was the most common comorbid headache disorder at 70.0% (16,885/24,131) and was more common in women (76.1%, 1801/2368) compared to men (69.3%, 15,084/21,763). Other common comorbidities included migraine, depression, tobacco use, and obstructive sleep apnea. Rates of suicidal ideation or attempt were almost 50% higher in women (5‐year proportion 9.4%, 222/2368) with CH compared to men (6.6%, 1433/21,763). Conclusions: To our knowledge this is the largest hospital system study of CH to date and reinforces several previous studies. Pain, mental health, and sleep disorders comorbidities are particularly prevalent in this group and were often more common in women compared to men with CH. Future work should examine gender and race stratified prevalence estimates within the VHA and other healthcare systems. Plain Language Summary: This study describes the epidemiology of cluster headache among all Veterans Health Administration (VHA) enrollees using electronic medical record data from the VHA. We found that during any given 1‐year period, between 0.08–0.10% of women and 0.10–0.18% of men in the VHA were treated for cluster headache. Many of these patients also had co‐occurring disorders including other headache disorders and depression, so more research is needed to find the best ways to treat these patients. [ABSTRACT FROM AUTHOR]

Fetal, infant, and child death reviews are a longstanding public health effort to understand the circumstances of individual deaths and use individual and aggregate findings to prevent future fatalities and improve overall child health. Child death review (CDR) began in the United States in the late 1970s to better identify children who died of abuse or neglect; fetal and infant mortality review (FIMR) began in the mid-1980s as a response to the stagnant rates of infant mortality. Today, there are >1350 CDR teams and >150 FIMR teams across the United States, including in tribal communities, territories, and freely associated states. Since the 1990s, the Health Resources and Services Administration's Maternal and Child Health Bureau has supported fetal, infant, and child death review work through funding and thought leadership. The Health Resources and Services Administration-funded National Center for Fatality Review and Prevention provides support to CDR and FIMR teams, including a standardized data collection system for use by state and local CDR and FIMR teams. Although distinct processes, CDR and FIMR both use a public health approach to identify system gaps contributing to early death and make recommendations that impact programmatic and policy changes at the local, state, and national levels. Although progress has been made in standardizing data collection and deepening our understanding of fetal, infant, and child deaths, opportunities persist for preventing future deaths. [ABSTRACT FROM AUTHOR]

Americans have increasingly turned to online crowdfunding to pay for healthcare costs, but our understanding of the inequalities in medical crowdfunding remains limited. This study investigates racial disparities in medical crowdfunding outcomes and examines the role of communication in amplifying, altering, or even reducing the disparities. Using data from 1,127 medical crowdfunding campaigns on GoFundMe, the study found that beneficiaries of color received significantly fewer donations than their White counterparts. The differences in donations between racial groups were partly attributable to sharing disparities. Campaigns for beneficiaries of color were shared less via e-mail or social media than campaigns for White beneficiaries. Campaign narratives with more humanizing details about beneficiaries were associated with more donations. However, humanizing details did not predict more shares, nor were they linked to smaller disparities in campaign outcomes between racial groups. Post-hoc analyses showed that more humanizing details were linked to fewer campaign donations for male beneficiaries of color. The findings contribute to the scholarship addressing the intersections of communication and health inequality on digital platforms. [ABSTRACT FROM AUTHOR]

Rationale and Objectives: Fat quantification accuracy using a commercial single-voxel high speed T2-corrected multi-echo (HISTO) technique and its robustness to R2* variations at 3.0 T, such as those introduced by iron in liver, has not been fully established. This study evaluated HISTO at 3.0 T and sought to reproduce results at 1.5 T. Methods: Phantoms were prepared with a range of fat content and R2*. Data were acquired at 1.5 T and 3.0 T, using HISTO and a Dixon technique. Fat quantification accuracy was evaluated as a function of R2*. The patient study included 239 consecutive patients. Data were acquired at 1.5 T or 3.0 T, using HISTO and Dixon techniques. The techniques were compared using Bland-Altman plots. Bias significance was evaluated using a one-sample t -test. Results: In phantoms, HISTO was accurate within 10% up to a R2* of 100 s−1 at both field strengths, while Dixon was accurate within 10% where R2* was accurately quantified (up to 350 s−1 at 1.5 T, and 550 s−1 at 3.0 T). In patients, where R2* was <100 s−1, fat quantification from both techniques agreed at 1.5 T (P =.71), but not at 3.0 T (P =.007), with a bias <1%. Conclusion: Results suggest that HISTO is reliable when R2* is <100 s−1, corresponding to patients with at most mild liver iron overload, and that it should be used with caution when R2* is >100 s−1. Dixon should be preferred for hepatic fat quantification due to its robustness to R2* variations. [ABSTRACT FROM AUTHOR]

Background: Clinical trials have become larger and more complex. Thus, eSource should be used to enhance efficiency. This study aimed to evaluate the impact of the multisite implementation of eSource direct data capture (DDC), which we define as eCRFs for direct data entry in this study, on efficiency by analyzing data from a single investigator-initiated clinical trial in oncology. Methods: Operational data associated with the targeted study conducted in Japan was used to analyze time from data occurrence to data entry and data finalization, and number of visits to the site and time spent at the site by clinical research associates (CRAs). Additionally, simulations were performed on the change in hours at the clinical sites during the implementation of eSource DDC. Results: No difference in time from data occurrence to data entry was observed between the DDC and the transcribed data fields. However, the DDC fields could be finalized 4 days earlier than the non-DDC fields. Additionally, although no difference was observed in the number of visits for source data verification (SDV) by CRAs, a comparison among sites that introduced eSource DDC and those that did not showed that the time spent at the site for SDV was reduced. Furthermore, the simulation results indicated that even a small amount of data to be collected or a small percentage of DDC-capable items may lead to greater efficiency when the number of subjects per site is significant. Conclusions: The implementation of eSource DDC may enhance efficiency depending on the study framework and type and number of items to be collected. [ABSTRACT FROM AUTHOR]

Objectives: Despite limited supporting data, hospitals continue to apply ambulance diversion (AD). Thus, we examined the impact of three different diversion policies on diversion hours, transport time (TT; leaving scene to arrival at the hospital), and ambulance patient offload time (APOT; arrival at the hospital to patient turnover to hospital staff) for 9-1-1 transports in a 22-hospital county Emergency Medical Services (EMS) system. Methods: This retrospective study evaluated metrics during periods of three AD policies, each 27 days long: hospital-initiated (Period 1), complete suspension (Period 2), and County EMS-initiated (Period 3). We described the median transports and diversion hours, and compared the daily average and daily 90th percentile TT and APOT during the three study periods. Results: Over the study period, there were 50,992 total transports in the county; Period 3 had fewer median transports per day than Period 1 (581 vs 623, p < 0.001), while Period 2 was similar to Period 1 (606 vs 623, p = 0.108). Median average daily diversion hours decreased from 98.1 h during Period 1 to zero hours during both Periods 2 (p < 0.001) and 3 (p < 0.001). Median daily average TT decreased from 18.3 min in Period 1 to 16.9 min in both Periods 2 (p < 0.001) and 3 (p < 0.001). Median daily 90th percentile TT showed a similar decrease from 30.2 min in Period 1 to 27.5 in Period 2 (p < 0.001), and to 28.1 in Period 3 (p = 0.001). Median average daily APOT was 26.0 min during Period 1, similar at 25.2 min during Period 2 (p = 0.826) and decreased to 20.4 min during Period 3 (p < 0.001). The median daily 90th percentile APOT was 53.9 min during Period 1, similar at 51.7 min during Period 2 (p = 0.553) and decreased to 40.3 min during Period 3 (p < 0.001). Conclusions: Compared to hospital-initiated AD, enacting no AD or County EMS-initiated AD was associated with less diversion time; TT and APOT showed statistically significant improvement without hospital-initiated AD but were of unclear clinical significance. EMS-initiated AD was difficult to interpret as that period had significantly fewer transports. EMS systems should consider these findings when developing strategies to improve TT, APOT, and system use of diversion. [ABSTRACT FROM AUTHOR]

The employment policies targeted at university graduates, which are exceedingly valuable to the national human resource, are closely related to the national economy and people's livelihood. The employment policies for college students are essential pathways for promoting high-quality job placement for graduates, making the review and evaluation of relevant policies exceedingly significant. This study analyzes the university-student employment policies issued between 1997 and 2023; the researchers utilize text mining and content analysis and refer to the policy indicators designed by existing scholars to develop an evaluation index for college student employment. A PMC index model was constructed to quantitatively evaluate 9 selected policy samples. The results indicate that P5, P6, and P7 have good consistency ratings; P8, P4, and P9 have acceptable consistency ratings; and P2, P3, and P1 have low consistency ratings. The average score for the 9 policy samples is 5.03, reflecting an overall satisfactory quality of China's college student employment policies. By constructing a PMC surface, the model visually reveals certain deficiencies in China's college-student employment policies in regard to policy design, policy tools, and policy content. This study provides countermeasures and proposals from aspects such as policy nature and policy measures. [ABSTRACT FROM AUTHOR]

High-quality development paths in important cities are blurry and lacking. In order to explore the important engine for Chengdu high-quality development, driving forces and obstacles recognition has emerged as a pivotal technological solution. Using the Chengdu in Sichuan province of China as a research area and quantitative data from 2010 to 2019, this study has used content mining to recognize urban high-quality development (UHQD) variables, and calculated variables' weights by entropy weight method, and explored driving forces and obstacles of UHQD by the technique for order preference by similarity to ideal solution (TOPSIS) method. The main findings are: (1) there are 36 UHQD variables; (2) Chengdu high-quality development overall level soars from 2017 to 2019, only with two negative growth rates in 2011, 2015; (3) There are 3 key driving force paths: (1) improving green development by volume of industrial wastewater discharged, comprehensively utilised ratio of industrial solid wastes, harmless treatment rate of domestic garbage; (2) stressing open development by total import and export/GDP, actual use of foreign capital, number of foreign tourists/total tourists; and (3) intensifying shared development by funds for urban residents under basic provision protection. (4) 3 clearing obstacles paths can also realize Chengdu high-quality development: (1) improving innovative development level by R&D internal outlay, patent authorisations, state high-level tech enterprises; (2) optimizing coordinated development level by the proportion of tertiary industry; (3) promoting shared development level by urban basic pension insurance. According to these findings, suggestions are put forward to promote Chengdu high-quality development from the perspective of policy implementation. [ABSTRACT FROM AUTHOR]

Background: Personal, social, and environmental factors may influence self-efficacy and social reintegration among people living with spinal cord injury or disease (SCI/D) in urban and rural areas. Novel data collection methods have the potential to characterize community participation (CP) in diverse settings. Objectives: The objectives were (1) to describe and compare self-reported community participation (Reintegration to Normal Living Index (RNLI) and Moorong Self-Efficacy Scale (MSES)) levels of individuals with SCI/D living in urban or rural Ontario, Canada; and (2) to determine the accuracy of an artificial intelligence (AI) optical mark recognition tool for extracting data from CP surveys conducted among participants after transitioning from inpatient rehabilitation to home and residing in the community. Methods: We partnered with SCI Ontario staff to collect MSES and RNLI survey data from adults with motor complete (e.g., AIS A–B) and incomplete (AIS C–D) SCI/D living in urban or rural Ontario, Canada, between January and October 2022. The Rurality Index of Ontario (RIO) from the postal code determined urban or rural residency. Optical mark recognition (OMR) software was used for survey data extraction. A Research Associate validated the extracted survey responses. Descriptive statistics, correlation analysis, and non-parametric statistics were used to describe the participants, their impairments, and their reported CP levels across urban and rural settings. Results: Eighty-five individuals with SCI/D (mean age 53.7 years, 36.5% female) completed the survey. Most of the participants resided in major urban areas (69.4%) and had traumatic injuries (64.7%). The mean total MSES score for Ontarians with SCI/D was 87.96 (95% confidence interval [CI]: 84.45, 91.47), while the mean total RNLI score for the same individuals was 75.61 (95% CI: 71.85, 79.37). Among the MSES domains, the lowest score was observed in response to sexual satisfaction (mean: 4.012, 95% CI: 3.527, 4.497), while the lowest RNLI domain item score was associated with the ability to travel out of town (mean: 5.965, 95% CI: 5.252, 6.678). Individuals with incomplete injuries in rural areas reported lower MSES and RNLI scores than those with complete motor injuries, whereas no significant differences were found in MSES and RNLI scores among urban residents based on impairment. These findings suggest that, depending on the environmental context (e.g., rural vs. urban areas), AIS categories may influence the perception of CP among people living with SCI/D. The OMR tool had 97.4% accuracy in extracting data from the surveys. Conclusions: The CP (MSES and RNLI) scores reported by individuals with SCI/D differ based on their living setting. In rural Ontario, individuals with greater functional ability reported lower CP than their counterparts living in urban settings. Although CP remains a challenge, the needs of individuals with motor incomplete SCI/D and heterogeneous levels of mobility residing in rural areas require exploration and targeted interventions. The OMR tool facilitates accurate data extraction from surveys across settings. [ABSTRACT FROM AUTHOR]

Data entry errors in large-scale public health surveys can undermine the effectiveness of data-driven interventions. Therefore, identifying these data entry errors is crucial for public health experts. In large-scale public health surveys, manually verifying the accuracy of every data point by domain experts is nearly impossible. This study evaluates unsupervised machine learning algorithms for detecting these errors, focusing on the 'weight' parameter in the Annual Health Survey (AHS) dataset. The AHS, conducted by the Ministry of Health and Family Welfare, Government of India, in collaboration with the Registrar General of India, is a large-scale, stratified, household-level survey targeting maternal and child health across nine states in India. The dataset is freely available on the Open Government Data (OGD) Platform of India for public health research. In this study, five algorithms—DBSCAN, K-Means, Gaussian Mixture Model (GMM), Isolation Forest (IF), and One-Class SVM (1C-SVM) were applied to detect erroneous data entries. The evaluation process involved comprehensive preprocessing and feature engineering to optimize detection capabilities. Performance metrics such as precision, recall, accuracy, false anomaly, and missed anomaly rates were used to assess each algorithm. Among these, DBSCAN demonstrated superior performance, achieving a recall of 94.7% and a precision of 81.9%, making it highly effective for this task. The findings underscore the potential of unsupervised machine learning in automating the detection of data entry errors, thereby improving the integrity of public health data. This research contributes to the advancement of precision public health, supporting more accurate and reliable evidence-based decision-making and policy formulation. [ABSTRACT FROM AUTHOR]

Stroke has remained a major cause of mortality and disability in the United States for years, and its recurrence significantly increased the risks. For predicting stroke recurrence, traditional data aggregation methods have limitations in effectively handling the numerous subcategories of stroke risk factors. This pilot study proposed a Segmented Neural Network-Driven Aggregation (SNA) method, and it aimed to improve the prediction model's accuracy. Utilizing the TriNetX diagnosis dataset, we processed various risk factors and demographic information through traditional and our proposed data aggregation techniques. We applied logistic regression and random forest classifiers to predict stroke recurrence. Our findings revealed that using the SNA method significantly outperformed other aggregation methods for both classifiers. Using the SNA method with a random forest classifier achieved higher accuracy (84.2%) and a better balance between sensitivity and specificity (AUC of ROC = 0.928, AUC of PR = 0.940) compared to other combinations. These results showed the potential of machine-learning supervised encoding methods in stroke recurrence predictions, providing implications for clinical practice and future epidemiological research. [ABSTRACT FROM AUTHOR]

Background: This systematic review investigates barriers and enablers to dental care utilization by disabled children. Given the high global prevalence of disabilities in children, coupled with poor oral hygiene and a 45% rate of dental caries in this group, developing inclusive oral health strategies is critical. The review aims to synthesize literature on factors affecting oral healthcare improvement for disabled children, identifying barriers, facilitators and knowledge gaps. Methods: The review was conducted following the Joanna Briggs Institute's methods and reported according to PRISMA guidelines. A comprehensive search spanned multiple databases, considering perspectives from carers, parents, dentists and health professionals. The focus was on studies involving children up to age 17 with disabilities, as defined by WHO, using dental care services. Exclusions included non‐qualitative studies, populations over 18 and nondisabled children. There were no restrictions on publication date or language. Thematic synthesis of the studies extracted themes related to barriers and enablers in oral healthcare for disabled children. Results: Thematic synthesis identified five overarching themes: stigma, communication issues, professional development, oral health education and medical‐dental collaboration. Facilitators included enhancing accessibility and availability of dental care through a holistic approach, improving dental care facility environments and ensuring skilled dental care providers. Discussion: The review underscores the importance of interprofessional collaboration, improved parent/caregiver education and specialized dental facilities to support children with disabilities. It identifies key barriers and facilitators in dental care, including challenging stereotypes, improving communication between providers and parents, enhancing holistic training and addressing gaps in oral health education and integrated healthcare systems. Conclusion: Addressing the complex dynamics of dental care for disabled children is essential for developing inclusive and effective preventive and therapeutic strategies. This review highlights the need for tailored approaches and enhanced support systems to improve oral health outcomes in this vulnerable population. Patient and Public Contribution: The members of the family support department, Middle East and North Africa (MENA) Organization for Rare Disease and Disability who provided the disability voice and contributed to providing input to the review protocol. [ABSTRACT FROM AUTHOR]

Purpose: To our knowledge, there are no data examining the agreement between self-reported and clinician-rated stuttering severity. In the era of big data, self-reported ratings have great potential utility for large-scale data collection, where cost and time preclude in-depth assessment by a clinician. Equally, there is increasing emphasis on the need to recognize an individual's experience of their own condition. Here, we examined the agreement between selfreported stuttering severity compared to clinician ratings during a speech assessment. As a secondary objective, we determined whether self-reported stuttering severity correlated with an individual's subjective impact of stuttering. Method: Speech-language pathologists conducted face-to-face speech assessments with 195 participants (137 males) aged 5-84 years, recruited from a cohort of people with self-reported stuttering. Stuttering severity was rated on a 10-point scale by the participant and by two speech-language pathologists. Participants also completed the Overall Assessment of the Subjective Experience of Stuttering (OASES). Clinician and participant ratings were compared. The association between stuttering severity and the OASES scores was examined. Results: There was a strong positive correlation between speech-language pathologist and participant-reported ratings of stuttering severity. Participantreported stuttering severity correlated weakly with the four OASES domains and with the OASES overall impact score. Conclusions: Participants were able to accurately rate their stuttering severity during a speech assessment using a simple one-item question. This finding indicates that self-report stuttering severity is a suitable method for large-scale data collection. Findings also support the collection of self-report subjective experience data using questionnaires, such as the OASES, which add vital information about the participants' experience of stuttering that is not captured by overt speech severity ratings alone. [ABSTRACT FROM AUTHOR]

Phenomenological researchers are obliged to grasp the epistemological and ontological differences between the Husserlian and Heideggerian branches of phenomenology to avoid misappropriating phenomenological terms or mischaracterizing study design. To that end, we spell out the key differences between both phenomenological traditions as background for describing the indelible role that the researcher's background assumptions, or fore‐structure, play in interpretive studies. We draw on our four studies to illustrate how we traversed the hermeneutic circle to disclose, challenge, and refine the personal, cultural, clinical, and scientific assumptions hidden in our fore‐structures. Our reflections highlight how understanding evolves, not by bracketing or disengaging ourselves from the phenomena we study, but by engaging in an open dialog that seeks understanding as lived by patients and families. [ABSTRACT FROM AUTHOR]

In epidemiology and the social sciences, propensity score methods are popular for estimating treatment effects using observational data, and multiple imputation is popular for handling covariate missingness. However, how to appropriately use multiple imputation for propensity score analysis is not completely clear. This paper aims to bring clarity on the consistency (or lack thereof) of methods that have been proposed, focusing on the " within " approach (where the effect is estimated separately in each imputed dataset and then the multiple estimates are combined) and the " across " approach (where typically propensity scores are averaged across imputed datasets before being used for effect estimation). We show that the within method is valid and can be used with any causal effect estimator that is consistent in the full-data setting. Existing across methods are inconsistent, but a different across method that averages the inverse probability weights across imputed datasets is consistent for propensity score weighting. We also comment on methods that rely on imputing a function of the missing covariate rather than the covariate itself, including imputation of the propensity score and of the probability weight. Based on consistency results and practical flexibility, we recommend generally using the standard within method. Throughout, we provide intuition to make the results meaningful to the broad audience of applied researchers. [ABSTRACT FROM AUTHOR]

This research note introduces the experience of using 'timelines' as a visual research method during online interviewing. It does so through a series of questions and answers that guide the reader through an exploration, understanding of and reflection on the method. This qualitative approach was used while conducting research on the influence that participation in a Reality TV show had on its finalists, and on the opportunities and life choices that were afforded to participants after the end of the show. The reader is encouraged to draw links between their own work as a qualitative researcher and the possibilities that this method can offer either in filling gaps or in expanding their current endeavour. Ultimately, the 'quality' of the answers we find in our qualitative work is illustrative of the way we choose to ask our questions. [ABSTRACT FROM AUTHOR]

Background: Memorializing nurses' experiences during the COVID-19 pandemic had the potential to allow scientists and policymakers to learn about the impact on the nursing profession and health care systems. Yet, nurses are considered a difficult population to recruit for research. Objective: To describe an innovative qualitative data collection method for capturing current practice experiences among nurses working during the COVID-19 pandemic. Methods: Guerilla theory served as the theoretical framework. Utilizing a qualitative descriptive design, a telephone voicemail messaging system was developed to capture nurses' experiences. Results: Nurses were recruited with convenience and snowball sampling via social media and state listservs. The telephone voicemail messaging system, Twilio, was used. After listening to the recording of the consent form, the participants shared their experiences by leaving a voice message where they answered the prompt, "Tell us about your experiences working during the COVID-19 pandemic." Seventy voicemails were included, and the voicemails were transcribed. After a nurse shared their experience via an email sent to the research team, emails were added to the data collection; 16 emails were received. Transcripts and emails were uploaded to the qualitative data analysis software program, Dedoose, and coded by 2 researchers using content analysis. Main themes were derived and discussed among the research team. Conclusion: Allowing participants multiple modes of expressing their experiences promote inclusivity in data collection. Further development and standardization of this method is needed for future research. [ABSTRACT FROM AUTHOR]

Mortality surveillance systems can have limitations, including reporting delays, incomplete reporting, missing data, and insufficient detail on important risk or sociodemographic factors that can impact the accuracy of estimates of current trends, disease severity, and related disparities across subpopulations. The Centers for Disease Control and Prevention used multiple data systems during the COVID-19 emergency response—line-level case‒death surveillance, aggregate death surveillance, and the National Vital Statistics System—to collectively provide more comprehensive and timely information on COVID-19‒associated mortality necessary for informed decisions. This article will review in detail the line-level, aggregate, and National Vital Statistics System surveillance systems and the purpose and use of each. This retrospective review of the hybrid surveillance systems strategy may serve as an example for adaptive informational approaches needed over the course of future public health emergencies. (Am J Public Health. 2024;114(10):1071–1080. https://doi.org/10.2105/AJPH.2024.307743) [ABSTRACT FROM AUTHOR]

This paper outlines a new approach to using participants' self-identified temporal triggers to center data collection around meaningful time periods as it pertains to coping with loss and trauma. We describe the utility of ecological momentary assessment and wearable technology as tools for time-informed data collection; and provide a study protocol for a recent study in which we paired these approaches to gather data from adult respondents who had lost a loved one. Data collection included two phases: a baseline phase and a target date phase. The target date phase was centered around the participant's self-identified temporal trigger. Several lmitations to this mode of data collection are disucsed. The overall approach is client centered and more accurately captures the lived experiences of individuals coping with loss and trauma. Data of this kind will begin to highlight the psychological and physiological impacts of anniversary dates among survivors of trauma and loss. [ABSTRACT FROM AUTHOR]

Healthcare professionals experiencing barriers in the delivery of care are often unaware of factors within complex institutions that create and perpetuate those problems. Institutional ethnography in healthcare is a research methodology that starts from the perspective of a problem that clinicians or people receiving care experience and seeks to identify how those negative experiences are coordinated by institutional structures. This paper describes and advocates for the use of institutional ethnography as a powerful tool to investigate problems experienced by individuals or groups in the complex systems of healthcare design and delivery. It is a research methodology that has been adopted across settings in North America, although it has the potential to be utilized more broadly across other settings by clinicians and researchers. This echoes calls from other authors for its use across a wider range of healthcare disciplines and settings. Institutional ethnography is an underutilized research methodology that has potential to address a wide range of challenges experienced in contemporary healthcare. It offers healthcare clinicians the opportunity to better understand and resolve issues affecting their practice within complex healthcare systems. [ABSTRACT FROM AUTHOR]

Purpose: The EQUATOR Network is an international initiative aimed at improving published health research through use of reporting guidelines. We conducted a review to determine the extent to which EQUATOR Network guidelines contain recommendations relevant for dysphagia research in human subjects. Method: We downloaded all 542 EQUATOR Network guidelines on November 8, 2022. Each guideline was reviewed by two independent raters and judged for relevance to dysphagia and related fields (e.g., otolaryngology, gastroenterology). Dysphagia-relevant guidelines pertaining to quantitative human subjects research were further inspected to identify reporting guidance regarding (a) general research elements (e.g., data collection, statistical methods), (b) participant characteristics (e.g., demographics, accrual, randomization), (c) screening and clinical/noninstrumental assessments, (d) videofluoroscopic examinations, (e) flexible endoscopic examinations, (f) other instrumentation in swallowing research, (g) dysphagia treatment, (h) patient-/care provider-reported outcome measures, and (i) any other narrowly specified focus relevant for research on swallowing. Discrepancies were resolved by consensus. Results: Of 542 guidelines, 156 addressed quantitative research in human subjects relevant to dysphagia. Of these, 104 addressed general research elements and 108 addressed participant characteristics. Only 14 guidelines partially addressed the other topics of interest, and none addressed elements relevant to reporting videofluoroscopic or endoscopic assessments of swallowing. Conclusions: We were unable to find guidelines with specific relevance to reporting key methods in dysphagia research. This lack of guidance illustrates a gap that hinders the critical appraisal of research quality in the field of dysphagia. Our review highlights the need to develop dysphagia-specific tools for critical appraisal and guidance regarding adequate research reporting. [ABSTRACT FROM AUTHOR]

In this study, we interrogated the efforts adopted by community and technical colleges in a Midwestern state to address racial inequities since the onset of COVID-19. We analyzed such efforts reported in institutional newsletters and associated media through critical content analysis supported by text mining techniques. Our findings demonstrate a notable reckoning with racial inequities on the part of institutional leaders and stakeholders. However, many initiatives remain short-term solutions and are detached from a holistic equity focus. This study challenges community and technical college leadership to reimagine their policies, structures, and practices toward advancing racial equity. [ABSTRACT FROM AUTHOR]

Background: Diabetic foot is a global threat to public health, as it can lead to infections and amputations and cause significant pain and economic costs for patients. Diabetic foot patients in northern China have more severe local ulcers, worse prognosis, and longer disease duration. Objective: This study assessed the foot risk levels and foot care knowledge and behavior status of people with diabetes with different foot risk levels, and investigated the factors that influence the occurrence of high-risk foot in diabetes. Methods: This cross-sectional survey included 410 hospitalized people with diabetes. Demographic and disease-related data and foot risk stratification status were collected using investigator-designed questionnaires. Foot care knowledge and behavior questionnaires were also used. Results: Among the 410 participants, a total of 367 cases were classified as high-risk feet, among which 135 cases were rated as grade 1, 202 cases grade 2, and 30 cases grade 3. Foot care knowledge surveys revealed low scores in the areas of shoe and sock selection, foot and footwear examination, and management of foot problems. Foot care behavior surveys showed low scores in the areas of foot and footwear examination, management of foot problems, and foot injury risk behavior. One-way ANOVA revealed significant differences in foot care behaviors among patients with different foot risk classifications (p < 0.05), while no significant differences were observed in foot care knowledge scores. Multivariate logistic regression analysis showed that age, history of cerebrovascular disease, and foot care behavior scores were factors influencing the occurrence of high-risk foot in people with diabetes. Conclusion: The results of this study showed a high prevalence of high-risk foot in diabetics; The knowledge and behavior of foot care in diabetics with different foot risk levels were both at a moderately low level; There were differences in foot behavior scores among patients with different foot risk classes, but, counter-intuitively, no significant differences in foot care knowledge. The study found that advanced age, history of cerebrovascular disease, and low foot care behavior scores are risk factors for high-risk foot in diabetes. Therefore, it is necessary to screen patients with diabetes for high-risk feet and implement targeted interventions according to the results. [ABSTRACT FROM AUTHOR]

The article focuses on the ethical challenges and strategies related to obtaining high-quality data from crowdsourced research participants. Topics include the balancing act between ensuring data quality and respecting participants' expectations of payment, the importance of transparent quality control practices, and the need for clear protocols regarding participant compensation and data rejection.

Background: Youth with intellectual disabilities experiencing homelessness are invisible within multiple service sectors. We know little about their experiences of homelessness, or the impacts of such on the social and physical health and well‐being. Methods: We used quantitative and qualitative methods to measure prevalence and learn from key informants and homeless youth with intellectual disabilities about factors leading to and sustaining homelessness, and the implications of such on their social, physical, and mental health and well‐being. The project involved seven co‐researchers with intellectual disabilities and experience of youth homelessness in research design, data collection, analysis, and dissemination. We created Forum Theatre scenes that creatively represent the findings of the project. In this paper we share one of those scenes, as well as the recommendations three co‐researchers with intellectual disabilities have for improving support to homeless youth with intellectual disabilities. Findings: Lack of awareness of and about homeless youth with intellectual disabilities, combined with siloed ways of working by involved sectors, results in significant disadvantage and health inequities for youth. Also revealed was the likelihood this would continue given existing obstacles to accessing appropriate housing and supports to exit homelessness. Conclusion: Services providers, policy makers and representatives of the involved sectors need to recognize and acknowledge homeless youth with intellectual disabilities and take responsibility for learning and working together to develop integrated and responsive approaches to effectively supporting them. Accessible Summaries: Many youths with intellectual disabilities are homeless, but we do not know very much about them. We do not know how they became homeless, what their lives are like when they are homeless or how being homeless affects their health.The (name withheld) research project included academic researchers and co‐researchers with intellectual disabilities, who had experience of being homeless. They spoke to service providers and to homeless youth without intellectual disabilities about these things.They learned that most homeless youth with intellectual disabilities have had very difficult lives. They face many challenges every day. They don't have access to health care, mental health supports, food and nutrition or physical safety. Attending school or having a job is harder to do when you are homeless.Many different services are involved in the lives of people with intellectual disabilities who are homeless. However, these services don't know about each other or work together to support homeless youth with intellectual disabilities.Service providers, governments and policy makers need to take responsibility to learn about the lives of homeless youth with intellectual disabilities. They must work together, and with homeless youth with intellectual disabilities, to develop better supports for this group of youth. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic created a sense of unsafety and uncertainty in various industries and occupations. The aim of this study was to explore the experiences of the employees of Golgohar Mining and Industrial Co. during the COVID-19 epidemic. Methods: This qualitative content analysis study was conducted on 20 employees of the Golgohar Mining & Industrial Co. in Sirjan, Iran, recruited through purposeful sampling from March 2021 to January 2022. After gaining informed consent, semi-structured interviews were conducted and continued until data saturation was achieved. The interviews lasted for 35-50 minutes and were recorded and transcribed. Data were analyzed by MAXQDA software, version 2020. Results: Three categories emerged from the qualitative data analysis: “Challenging work environment,” “unsafe workplace,” and “crisis management.” These categories formed the main theme, “encountering a crisis,” which refers to the very difficult situation that the workers experienced with the emergence of COVID-19. Conclusion: The workers did not fully comprehend the seriousness of the pandemic and lacked sufficient information about the disease, which contributed to the spread of infection. Teaching problem-solving strategies and behavior control, combined with training on disease prevention, can be effective in crisis management. [ABSTRACT FROM AUTHOR]

Background: In May 2023, Romagna, Italy, faced a devastating flood resulting in 16 fatalities, forced displacement of 26,000 citizens, and significant economic losses. Due to potential water contamination, implementing public health strategies became imperative for the Local Health Authority to mitigate the health consequences, analyze the flood's impact on the local population's health, and detect early anomalies requiring timely public health interventions. Methods: Between June and July 2023, general practitioners who were part of the RespiVirNet surveillance network completed weekly structured forms. These forms collected data on individuals exposed or not to floodwaters and clinical syndromes. Rates per 1000 resident population aged > 14 were stratified by district, week of observation, and symptomatology. Missing data were addressed by imputation using second-order autoregressive modeling. Results: An incidence of 3.52 syndromes potentially related to flood water exposure per 1000 individuals (95% CI 2.82–4.35) was estimated. Ravenna, the city most affected by the flood, recorded the highest rate (6.05 per 1000, 95% CI 4.59–7.82). Incidence decreased in the weeks post-event. Anxiety, or trauma and stress symptoms, exhibited higher rates among the exposed, diminishing over weeks. The incidence for the non-exposed (12.76 per 1000, 95% CI 10.55–15.29) showed no significant territorial differences compared to the exposed ones. Conclusions: Syndromic surveillance provided timely information on the flood's health impact, revealing a higher incidence of individual syndromes among the non-exposed. This study contributes to guiding the implementation of future public health preparedness and response strategies for populations facing similar natural disasters. [ABSTRACT FROM AUTHOR]

This study analyzes the relationship between work fatigue and musculoskeletal disorders in gas station operators in Pontianak City. This study used with a cross-sectional approach. The sample consists of 150 gas station workers. Data collection was carried out by observing and interviewing. Respondents characteristics were recorded through interviews using a questionnaire. Data on work fatigue were obtained by interviews using the IFRC questionnaire and musculoskeletal data using the Nordic Body Map questionnaire. The study results show that 50% of workers experience a high level of work fatigue, and 26% of workers experience severe musculoskeletal disorders. There is a significant relationship between work fatigue and musculoskeletal diseases (p = 0.001). The study established the need for intervention as a preventive measure by providing sufficient rest time, stretching, setting work shifts, improving ergonomic work positions for gas station operators, and controlling the work environment through environmental improvement and monitoring and using personal protective equipment. [ABSTRACT FROM AUTHOR]

Background: The number of children born into a family has a significant impact on a mother's reproductive system's physiological health and overall well-being. Objectives: This study aimed to explore the effective factors in the number of living children (NLC) among married women in Semnan, Iran, with a particular focus on social, cultural, and economic influences. Methods: This cross-sectional study examined the reproductive histories of 600 married women aged 15 to 49 years from Semnan, Iran. Sample size calculations were based on the principal variable, the expected number of children, using PASS software. The women were selected through a multistage random sampling method from health center lists in 2018 (April-October). The data were collected through interview questionnaires and analyzed using the Quasi-Poisson model. Results: The mean (standard deviation [SD]) age at first marriage for mothers (MAM) and fathers was estimated to be 21.02 (4.80) and 25.10 (4.70) years, respectively. Additionally, the mean (SD) values for the number of expected children (NCEX), living children, and the number of pregnancies were 2.19 (0.96), 1.85 (0.81), and 2.15 (1.03), respectively. Among the variables of interest, only NCEX, the number of pregnancies (with a positive effect), MAM, father's education, multiple births, and the desire to have children (with a negative effect) significantly influenced NLC. Conclusions: This study recommends implementing an educational program to promote an optimal and ideal family size to prevent adverse pregnancy outcomes. The age of women at marriage is a significant factor, as an increase in women's age leads to shorter pregnancy intervals, exposing women to complications, such as premature birth, perinatal death, and intrauterine growth restriction. Policymakers should, therefore, encourage early marriages by fostering a culture and providing supportive facilities. [ABSTRACT FROM AUTHOR]

Objective: This study is part of the Student Counselling Outcomes Research and Evaluation (SCORE) initiative that is pooling university counselling service data to improve datasets and evidence for counselling in this sector. This study aimed to explore university counselling staff views about which data should be included in a national minimum data standard (MDS) to provide evidence for counselling in the sector. Method: Semi‐structured focus groups were conducted with university counselling staff including counsellors, service leaders and mental health advisors. They explored data to include in an MDS, current data collection practices, service and sector level data collection barriers. Two researchers performed content analysis involving identifying fields for inclusion. Thematic analysis was used to identify contextual issues surrounding data collection. Ten focus groups were conducted with 41 participants across 26 university counselling services. Results: Content analysis identified fields of information for the MDS within the categories of student characteristics, demographics, clinical assessment and service evaluation. Thematic analysis explored context and culture surrounding data collection, barriers and facilitators, institutional influence and ideal data collection practices. This highlights the need for service support and training around data collection, clear processes, and adequate IT infrastructure and staff resources. Discussion: These findings will inform the development of an MDS as part of the SCORE study. The next stage will involve further development of the MDS and piloting in services. The longer term aim is to implement an MDS across university counselling services, enabling the growth of evidence for the sector which may allow increased funding and service provision. [ABSTRACT FROM AUTHOR]

Background: Accurate and feasible assessment of dietary intake remains challenging for research and healthcare. Experience Sampling Methodology (ESM) is a real-time real-life data capturing method with low burden and good feasibility not yet fully explored as alternative dietary assessment method. Methods: This scoping review is the first to explore the implementation of ESM as an alternative to traditional dietary assessment methods by mapping the methodological considerations to apply ESM and formulating recommendations to develop an Experience Sampling-based Dietary Assessment Method (ESDAM). The scoping review methodology framework was followed by searching PubMed (including OVID) and Web of Science from 2012 until 2024. Results: Screening of 646 articles resulted in 39 included articles describing 24 studies. ESM was mostly applied for qualitative dietary assessment (i.e. type of consumed foods) (n = 12), next to semi-quantitative dietary assessment (i.e. frequency of consumption, no portion size) (n = 7), and quantitative dietary assessment (i.e. type and portion size of consumed foods) (n = 5). Most studies used ESM to assess the intake of selected foods. Two studies applied ESM as an alternative to traditional dietary assessment methods assessing total dietary intake quantitatively (i.e. all food groups). ESM duration ranged from 4 to 30 days and most studies applied ESM for 7 days (n = 15). Sampling schedules were mostly semi-random (n = 12) or fixed (n = 9) with prompts starting at 8–10 AM and ending at 8–12 PM. ESM questionnaires were adapted from existing questionnaires, based on food consumption data or focus group discussions, and respond options were mostly presented as multiple-choice. Recall period to report dietary intake in ESM prompts varied from 15 min to 3.5 h. Conclusions: Most studies used ESM for 7 days with fixed or semi-random sampling during waking hours and 2-h recall periods. An ESDAM can be developed starting from a food record approach (actual intake) or a validated food frequency questionnaire (long-term or habitual intake). Actual dietary intake can be measured by ESM through short intensive fixed sampling schedules while habitual dietary intake measurement by ESM allows for longer less frequent semi-random sampling schedules. ESM sampling protocols should be developed carefully to optimize feasibility and accuracy of dietary data. [ABSTRACT FROM AUTHOR]

Background: Mobile Ecological Momentary Assessment (EMA) is increasingly used to gather intensive, longitudinal data on behavioral nutrition, physical activity and sedentary behavior and their underlying determinants. However, a relevant concern is the risk of non-random non-compliance with mobile EMA protocols, especially in older adults. This study aimed to examine older adults' compliance with mobile EMA in health behavior studies according to participant characteristics, and prompt timing, and to provide recommendations for future EMA research. Methods: Data of four intensive longitudinal observational studies employing mobile EMA to understand health behavior, involving 271 community-dwelling older adults (M = 71.8 years, SD = 6.8; 52% female) in Flanders, were pooled. EMA questionnaires were prompted by a smartphone application during specific time slots or events. Data on compliance (i.e. information whether a participant answered at least one item following the prompt), time slot (morning, afternoon or evening) and day (week or weekend day) of each prompt were extracted from the EMA applications. Participant characteristics, including demographics, body mass index, and smartphone ownership, were collected via self-report. Descriptive statistics of compliance were computed, and logistic mixed models were run to examine inter- and intrapersonal variability in compliance. Results: EMA compliance averaged 77.5%, varying from 70.0 to 86.1% across studies. Compliance differed among subgroups and throughout the day. Age was associated with lower compliance (OR = 0.96, 95%CI = 0.93–0.99), while marital/cohabiting status and smartphone ownership were associated with higher compliance (OR = 1.83, 95%CI = 1.21–2.77, and OR = 4.43, 95%CI = 2.22–8.83, respectively). Compliance was lower in the evening than in the morning (OR = 0.82, 95%CI = 0.69–0.97), indicating non-random patterns that could impact study validity. Conclusions: The findings of this study shed light on the complexities surrounding compliance with mobile EMA protocols among older adults in health behavior studies. Our analysis revealed that non-compliance within our pooled dataset was not completely random. This non-randomness could introduce bias into study findings, potentially compromising the validity of research findings. To address these challenges, we recommend adopting tailored approaches that take into account individual characteristics and temporal dynamics. Additionally, the utilization of Directed Acyclic Graphs, and advanced statistical techniques can help mitigate the impact of non-compliance on study validity. [ABSTRACT FROM AUTHOR]

Background: Social participation of older adults is a crucial component of China's aged care services and an important strategy for actively addressing the aging population. Analyzing policy texts on older people's social participation can inform future policy formulation and the development of relevant programs. Objectives: This study aims to quantitatively analyze the transformation of China's social participation policies for older people from 1999 to 2023, employing institutional network analysis and policy text analysis. Method: A two-dimensional policy analysis framework was constructed based on the perspective of "policy tools and social participation stages." Using Rost Content Mining 6.0 and Nvivo 11.0 Plus software, 55 national-level policy texts were coded. Structural analysis of policy-issuing subjects and topic words was conducted to visualize the findings. Results: The analysis revealed that the policy-issuing subjects demonstrated strong authority but weak coordination, with a lack of communication and cooperation across subjects. The use of policy tools was imbalanced, with an over-reliance on supply-type tools and insufficient use of demand-type tools. Additionally, the lack of effective policy tools to support various social participation stages has limited policy implementation. Conclusion: With technological advancement and changing needs of the elderly population, there is a need for a more systematic and forward-looking top-level design of elderly social participation policies: accelerating the systematization and precision of technological elements in policies for elderly social participation, integrating social organizations via technological platforms to mobilize diverse stakeholder engagement, and addressing the digital divide between the elderly and new technologies is imperative. [ABSTRACT FROM AUTHOR]

Background: Schizophrenia is a prevalent psychiatric disorder that affects 1% of the global population. Schizophrenia frequently begins in late adolescence or early adulthood, causing significant educational, social, and economic costs for people and society. Functional neuroimaging research on schizophrenia physiopathology has been beneficial. Arterial spin labelling (ASL) is one of functional magnetic resonance imaging (fMRI) technologies that assess brain function without radiation. ASL uses magnetic resonance (MR) imaging to quantify tissue-level brain perfusion non-invasively. Arterial spin labelling (ASL) is one of the functional magnetic resonance imaging (fMRI) technologies that assess the brain function without radiation hazards. ASL uses magnetic resonance (MR) imaging to quantify tissue-level brain perfusion non-invasively. Many publications were performed on role of different advanced MRI techniques in schizophrenia, but our study insisted on the added value of combined ASL and MRS over the conventional MRI in schizophrenic Egyptian population sample. Aim of the work: The purpose of this work was to evaluate the added value of combined ASL-perfusion MRI and MRS in schizophrenic patients. Methods: This prospective case–control study was carried out on two groups: First group was 30 patients who were diagnosed clinically as schizophrenic patients, and second group was 20 healthy volunteers as a control group for comparison in the period from August 2021 till July 2022. Results: The majority of newly diagnosed cases had significant higher positive symptoms than chronic cases. According to arterial spin labelling (ASL) data, rCBF was noticed to be reduced in anterior cingulate, frontal lobe, and parietal lobe of both patients' subgroups but more significant in chronically ill patients. Convergent results of decreased rCBF were also found in the parietal lobe and occipital lobe. Magnetic resonance spectroscopic analysis showed that NAA was decreased in the anterior cingulate cortex, thalami and basal ganglia of the newly diagnosed cases more than chronic cases. The ASL-MRI perfusion accurately detected the hypo-perfusion of different brain regions with sensitivity 100%, specificity 66.67%, positive predictive value 96.43%, negative predictive value 100%, and accuracy 96.67%, while MR spectroscopy showed sensitivity 100%, specificity 33.33%, positive predictive value 93.10%, negative predictive value 100%, and accuracy 93.33% in evaluation of changes of brain metabolites. Conclusion: ASL is a promising functional MRI technique that can produce together with MRS quantitative information about the metabolites of different brain regions. The ASL-MRI appears as a reliable non-invasive technique to measure cerebral blood flow and identify decreased rCBF without any contrast administration, and it could be repeatable which helps in early diagnosis as well as follow-up of the progression of the disease. [ABSTRACT FROM AUTHOR]

Mold contamination poses a significant challenge in the processing and storage of Chinese herbal medicines (CHM), leading to quality degradation and reduced efficacy. To address this issue, we propose a rapid and accurate detection method for molds in CHM, with a specific focus on Atractylodes macrocephala, using electronic nose (e-nose) technology. The proposed method introduces an eccentric temporal convolutional network (ETCN) model, which effectively captures temporal and spatial information from the e-nose data, enabling efficient and precise mold detection in CHM. In our approach, we employ the stochastic resonance (SR) technique to eliminate noise from the raw e-nose data. By comprehensively analyzing data from eight sensors, the SR-enhanced ETCN (SR-ETCN) method achieves an impressive accuracy of 94.3%, outperforming seven other comparative models that use only the response time of 7.0 seconds before the rise phase. The experimental results showcase the ETCN model's accuracy and efficiency, providing a reliable solution for mold detection in Chinese herbal medicine. This study contributes significantly to expediting the assessment of herbal medicine quality, thereby helping to ensure the safety and efficacy of traditional medicinal practices. [ABSTRACT FROM AUTHOR]

Purpose: Buspirone, an anxiolytic with minimal risk of dependence or respiratory depression, lacks extensive published data on its transfer into human milk during lactation. The objective of this study was to 1) quantify the transfer of buspirone and its active metabolite 1-pyrimidinylpiperazine (1-PP) into human milk, allowing for an estimation of maternal drug exposure to the breastfed infant, and 2) report observations of the infants exposed to buspirone via breastmilk. Methods: Milk samples and health histories were collected from nine lactating mothers who donated milk samples to the InfantRisk Human Milk Biorepository while taking buspirone. The drug concentration–time profile of buspirone and 1-PP was determined using liquid chromatography–mass spectrometry. Results: Buspirone was below the detection level of 1.5 ng/mL in all milk samples with dosages ranging from 7.5 to 30 mg twice daily. However, low levels of active metabolite 1-PP were observed at 7.5 mg twice daily up to 30 mg twice daily. The relative infant dose (RID) calculated ranged from 0.21 to 2.17%, which is below the standard 10% threshold for infant safety. There were no reports of adverse effects in the exposed infants. Conclusion: The levels of buspirone observed in all participants' milk samples were exceedingly low. The subsequently low relative infant dose (RID) in the range of 0.21% to 2.17% is below the 10% threshold for infant safety, suggesting that the transfer of maternal buspirone and its active metabolite (1-PP) into human milk is clinically insignificant and poses minimal risk to a breastfed infant. [ABSTRACT FROM AUTHOR]

Understanding and addressing health care disparities relies on collecting and reporting accurate data in clinical care and research. Data regarding a child's race, ethnicity, and language; sexual orientation and gender identity; and socioeconomic and geographic characteristics are important to ensure equity in research practices and reported outcomes. Disparities are known to exist across these sociodemographic categories. More consistent, accurate data collection could improve understanding of study results and inform approaches to resolve disparities in child health. However, published guidance on standardized collection of these data in children is limited, and given the evolving nature of sociocultural identities, requires frequent updates. The Pediatric Emergency Care Applied Research Network, a multi-institutional network dedicated to pediatric emergency research, developed a Health Disparities Working Group in 2021 to support and advance equitable pediatric emergency research. The working group, which includes clinicians involved in pediatric emergency medical care and researchers with expertise in pediatric disparities and the conduct of pediatric research, prioritized creating a guide for approaches to collecting race, ethnicity, and language; sexual orientation and gender identity; and socioeconomic and geographic data during the conduct of research in pediatric emergency care settings. Our aims with this guide are to summarize existing barriers to sociodemographic data collection in pediatric emergency research, highlight approaches to support the consistent and reproducible collection of these data, and provide rationale for suggested approaches. These approaches may help investigators collect data through a process that is inclusive, consistent across studies, and better informs efforts to reduce disparities in child health. [ABSTRACT FROM AUTHOR]

Qualitative research is a relatively new approach for conducting studies in health disciplines. The value of this research approach is to explore peoples' experiences and gain a deeper understanding of the meaning of their experiences. Qualitative inquiries answer research questions about what, why and how by implementing various research designs such as qualitative descriptive, qualitative case study, ethnological, phenomenology, or grounded theory designs. Purposive and snowball sampling methods are commonly used to recruit participants followed by personal interviews or focus group discussions to collect data. Data analysis requires several coding procedures performed by the researcher or an alternative is using a coding software program. Preparing a manuscript for dissemination of the results can be challenging, although achievable. [ABSTRACT FROM AUTHOR]

Aim: We sought to explore the processes of methodologic and data-analysis triangulation in case studies using the example of research on nurse practitioners in primary health care. Design and methods: We conducted a scoping review within Arksey and O'Malley's methodological framework, considering studies that defined a case study design and used 2 or more data sources, published in English or German before August 2023. Data sources: The databases searched were MEDLINE and CINAHL, supplemented with hand searching of relevant nursing journals. We also examined the reference list of all the included studies. Results: In total, 63 reports were assessed for eligibility. Ultimately, we included 8 articles. Five studies described within-method triangulation, whereas 3 provided information on between/across-method triangulation. No study reported within-method triangulation of 2 or more quantitative data-collection procedures. The data-collection procedures were interviews, observation, documentation/documents, service records, and questionnaires/assessments. The data-analysis triangulation involved various qualitative and quantitative methods of analysis. Details about comparing or contrasting results from different qualitative and mixed-methods data were lacking. Conclusions: Various processes for methodologic and data-analysis triangulation are described in this scoping review but lack detail, thus hampering standardization in case study research, potentially affecting research traceability. Triangulation is complicated by terminological confusion. To advance case study research in nursing, authors should reflect critically on the processes of triangulation and employ existing tools, like a protocol or mixed-methods matrix, for transparent reporting. The only existing reporting guideline should be complemented with directions on methodologic and data-analysis triangulation. [ABSTRACT FROM AUTHOR]

Aim: To highlight the value of utilizing the Listening Guide methodology for nursing research and provide an exemplar applying this methodology to explore a novel concept in an underrepresented group—inner strength in persons newly diagnosed with mild cognitive impairment along with their care partners. Design: Methodology discussion paper. Methods: The exemplar study used the Listening Guide methods for data elicitation and analysis. Methods included adaptations for the study population and novice qualitative researchers. Results: The Listening Guide methodology with adaptations enabled the research team to centre the voices of persons living with mild cognitive impairment, highlight an abstract phenomenon and attend to the influences of the sociopolitical context. Further, this methodology helped address common challenges emerging qualitative researchers encounter, including understanding methods of application, engaging reflexively and immersing in the data. Conclusion: The Listening Guide is a voice‐centred qualitative methodology that is well suited to foreground the experiences of groups underrepresented in research and explore emerging phenomena. Implications for Nursing: Nurses are central to striving for health equity. The Listening Guide methodology offers a valuable and accessible research tool to understand the experiences and needs of underrepresented groups and shape healthcare in response. Impact: The Listening Guide methodology can be broadly applied to research with persons with mild cognitive impairment, and other underrepresented groups, to explore other phenomena beyond inner strength and move the science forward in representing the perspectives of groups underrepresented by research. Patient or Public Contribution: Persons living with cognitive impairment and their care partners participated in study conceptualization, interview guide development, methods development and dissemination plans. [ABSTRACT FROM AUTHOR]

Since its release the Power Threat Meaning Framework (PTMF) has received considerable interest and uptake. However, there have not yet been any attempts to review the scope of this emergent literature. This scoping review aimed to identify and synthesize: (1) all empirical research which utilized the PTMF in their methodologies, (2) the characteristics of these studies, (3) the different ways in which these studies utilized the PTMF, and (4) the key findings of these studies. This review was conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) scoping review extension (PRISMA‐ScR). Following systematic searches of academic databases and grey literature, 17 studies meeting eligibility criteria were included. These papers were subject to critical appraisal, data charting, and narrative synthesis. This review identified four uses of the PTMF: (1) PTMF‐informed data collection, (2) PTMF‐informed data analysis, (3) Experiences of/views on the PTMF, and (4) PTMF‐informed psychological practices. This evidence‐base demonstrated the merits of utilizing the PTMF across a range of disciplines, settings, and populations. This heterogeneity also presents challenges for evidence synthesis. Implications for research (e.g. importance of the coherent and consistent approach to research) and practice/policy (e.g. professional training, collaboration, service‐level barriers) are considered. [ABSTRACT FROM AUTHOR]

Background: Science history is a discipline that teaches the development of scientific thought and the discoveries of scientists. However, these topics can sometimes be abstract and difficult to understand. The use of technology can make the teaching of the history of science more effective, engaging, and accessible. By providing students with visual and interactive experiences, it allows them to better understand abstract concepts and closely follow the discoveries of scientists. In this way, history of science lessons can become more appealing and conducive to learning for students. Objectives: This research aims to design and develop a Mobile Augmented Reality (MAR) environment that can be used for teaching science history. Methods: The research was conducted using a design‐based research method consisting of four stages: Analysis, design, development‐implementation‐evaluation, and reporting. The research involved 10 science teachers and five secondary school students. Data were collected through focus group interviews, individual interviews, notes, audio recordings, and images, and then analysed using content analysis. Results and Conclusions: As a result of the research, a MAR application named TISAR‐3D was developed, which allows students to interactively and visually explore scientists and enrich their learning experience. Implications: The widespread use of the TISAR‐3D application in science history education is recommended, as well as the development of similar MAR applications for other topics. Lay Description: What is known about this topic: AR technology is an increasingly used technology in education.AR technology is effective in teaching the history of science.AR makes abstract concepts concrete and provides interactive experiences for students. What this paper adds: The research focuses on the development of a MAR application called TISAR‐3D.The application supports Turkish and English languages and offers voice narration.The role of scientists in the history of science is not sufficiently known.Scientists are not adequately represented in textbooks. Implications of the study findings for practitioners: Include more scientists in the app for a broader learning experience.Include more interactive activities in the app for a fun learning experience.Teachers should extend more time to accommodate the app's use in class. [ABSTRACT FROM AUTHOR]

Qualitative research has utilised focus groups and interviews to gather information from participants while conducting ethnographic research. This article explores the potential of alternative forms of collecting data that are more in line with the participants' feelings, emotions and expectations. Charlas (chats) and Comidas (meals) were utilised in an ethnographic study with English teachers and their students in marginalised high schools in Bogotá, Colombia. I found that opening a safe space for participants to share their ideas, suggestions and comments while chatting informally or having a meal encourages leadership of the research process. This generated a sentiment of trust and bond which strengthen their sense of belonging to their academic community. This article contributes to the literature on alternative, critical and decolonial forms of doing research by considering ways to implement methods that acknowledge the cultural and linguistic backgrounds of the participants which strengthen humanising relationships, especially in marginalised contexts. [ABSTRACT FROM AUTHOR]

Background We aimed to explore to the possibilities of utilizing automatically accumulating data on health—owned for example by local companies and non-governmental organizations—to complement traditional health data sources in health promotion work at the local level. Methods Data for the PUHTI study consisted of postal code level information on sport license holders, drug purchase and sales advertisements in a TOR online underground marketplace, and grocery sales in Tampere. Additionally, open population register data were utilized. An interactive reporting tool was prepared to show the well-being profile for each postal code area. Feedback from the tool's end-users was collected in interviews. Results The study showed that buying unhealthy food and alcohol, selling or buying drugs, and participating in organized sport activities differed by postal code areas according to its socioeconomic profile in the city of Tampere. The health and well-being planners and managers of Tampere found that the new type of data brought added value for the health promotion work at the local level. They perceived the interactive reporting tool as a good tool for planning, managing, allocating resources and preparing forecasts. Conclusions Traditional health data collection methods—administrative registers and health surveys—are the cornerstone of local health promotion work. Digital footprints, including data accumulated about people's everyday lives outside the health service system, can provide additional information on health behaviour for various population groups. Combining new sources with traditional health data opens a new perspective for health promotion work at local and regional levels. [ABSTRACT FROM AUTHOR]

The authors stress the need of U.S.-based public health researchers to ask questions about partisanship as part of their demographic data collection. Topics discussed include definition of partisanship, partisan determinants of health, and recommendation for public health researchers designing their own survey-based studies and agencies fielding national or state-level surveys to consider including partisanship in their research.

The Boy Scouts of America's (BSA's) Ineligible Volunteer (IV) files, commonly called the "perversion files," is a unique data set allowing researchers to examine organizational characteristics that allow for child sexual victimization. Despite the uniqueness of this data set, few researchers have examined it. The researchers examined a random sample of cases from the IV files of scout leaders who molested scouts. A situational crime theoretical model was employed as had been used in studies on the Catholic Church sexual abuse scandal, proving effective. The researchers examined randomly selected from 1980 to 1999. Of initially examined 400 randomly selected cases, only 140 held retrievable data. The majority of the 140 cases did not have scouting victims, which resulted in a reduction to 48 cases. Beyond the several scouting forms, many files contained public domain information, including newspaper articles, police reports, criminal justice records, and/or records of civil litigation. Through both the scouting documents and the public domain records, the researchers identified six BSA-specific characteristics that allowed motivated adult leaders to molest their victims. These characteristics included (a) weak or inefficient incident reporting system, (b) failure to collect and review pertinent information, (c) organizationally legitimate reasons for one-on-one contact, (d) volunteer imbalance, (e) legitimate reasons for separation from protective adults, and (f) social status as a prophylactic defense. These structural characteristics are explored through descriptive statistics and specific case studies illustrating the phenomena. When the history of the IV files came to light through litigation, the BSA was forced to reconcile its past actions and develop new preventive measures. The Boy Scouts of America implemented various actions to protect the youth. Many of these protections specifically address structural characteristics. [ABSTRACT FROM AUTHOR]

Background and Objectives Volunteers are the foundation of social service agencies in rural communities, yet limited research exists on their needs and challenges. Motivated by the multidimensional older voluntarism sustainability framework, this study aims to understand (1) the characteristics of volunteers, (2) the relationships between volunteers' sense of community and their own aging and volunteer retention, and (3) the unique challenges faced by volunteers and volunteer-based agencies. Research Design and Methods This study uses a mixed-methods design. Data were gathered via telephone interviews (n = 76) and in-person focus groups (n = 14) from the volunteer pool of a nonprofit organization in rural Michigan. Descriptive and regression analyses were conducted to understand the characteristics of the volunteers. Thematic analysis was conducted to identify unique challenges faced by rural agencies and volunteers. Results Findings show that most volunteers were over 70, women, married, volunteered weekly or more, and were affiliated with multiple agencies. Volunteers with a stronger attachment to the community and higher self-perceptions of aging were likelier to continue and increase volunteering commitments. Due to the low population density in rural areas, volunteers were concerned about the heavy burden of volunteering, the lack of social connections with fellow volunteers, and the lack of active involvement in shaping the organization. Discussion and Implications Results from the study shed light on the urgent need for creative and engaging volunteer recruitment and retention strategies to sustain older adults, service agencies, and communities in rural areas. [ABSTRACT FROM AUTHOR]