Rawlance Ndejjo (716936), Andrew K. Tusubiira (17174554), Suzanne N. Kiwanuka (9589900) et al. · Figshare · 2023
<div><p>In 2020 and 2021, Governments across the globe instituted school closures to reduce social interaction and interrupt COVID-19 transmission. We examined the consequences of school closures due to COVID-19 across four sub–Saharan African countries: the Democratic Republic of Congo (DRC), Nigeria, Senegal, and Uganda. We conducted a qualitative study among key informants including policymakers, school heads, students, parents, civil society representatives, and local leaders. The assessment of the consequences of school closures was informed by the Diffusion of Innovations theory which informed the interview guide and analysis. Interview transcripts were thematically analysed. Across the four countries, schools were totally closed for 120 weeks and partially closed for 48 weeks. School closures led to: i) Desirable and anticipated consequences: enhanced adoption of online platforms and mass media for learning and increased involvement of parents in their children’s education. ii) Desirable and unanticipated consequences: improvement in information, communication, and technology (ICT) infrastructure in schools, development and improvement of computer skills, and created an opportunity to take leave from hectic schedules. iii) Undesirable anticipated consequences: inadequate education continuity among students, an adjustment in academic schedules and programmes, and disrupted student progress and grades. iv) Undesirable unanticipated: increase in sexual violence including engaging in transactional sex, a rise in teenage pregnancy, and school dropouts, demotivation of teachers due to reduced incomes, and reduced school revenues. v) Neutral consequences: engagement in revenue-generating activities, increased access to phones and computers among learners, and promoted less structured learning. The consequences of school closures for COVID-19 control were largely negative with the potential for both short-term and far-reaching longer-term consequences. In future pandemics, careful consideration of the type and duration of education closure measures and examination of their potential consequences in the short and long term is important before deploying them.</p></div>
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Kevin Bardosh (567686), Renzo R. Guinto (10688291), Salome A. Bukachi (4044725) et al. · Figshare · 2023
<div><p>In 2020, Covid-19 led to global policy statements promoting bans and reforms to wet markets in Asia and Africa to prevent future pandemics. We conducted a comparative, exploratory qualitative study in 2021 in three countries (Kenya, Vietnam and the Philippines) to understand the social and political dimensions to biosecurity reform at wet markets. This included 60 key informant interviews and rapid ethnographic research in 15 markets, as well as a review of policy documents and online media articles. We found no evidence that the rhetoric of pandemic spillover that emerged in 2020 had any influence on policy or reform efforts apart from those related to Covid-19 infection control. Rather, we identified three main narratives that frame the problem of biosecurity and preferences for reform. The first, a <i>human health narrative</i>, questioned global framings about pandemic risk, viewed markets as sources for food security rather than disease, emphasized the need to strengthen the control of endemic diseases, and conceptualized health through the lens of ‘freshness’ rather than biomedical categories. A second <i>modernization</i> narrative approached biosecurity as part of a broader process of socio-economic development that emphasized infrastructural gaps, spatial arrangements, cleanliness and a conflict between reform and economic interests. A third narrative centered on <i>local livelihoods</i> and the tension between local market stakeholders and biosecurity and modernization efforts. This final narrative called into question the appropriateness of certain regulations and policies, including bans and closures, emphasized the importance of preserving cultural heritage and highlighted the need for collective political action to resist certain veterinary policies. In conclusion, wet market biosecurity strategies occur in the context of three contrasting narratives that emphasize different aspects of health and risk, and reflect different worldviews and interests. Within this context, there is a need for local government to strengthen market management and biosecurity in ways that enhance the agency of market stakeholders and strengthen local livelihoods and food security as part of a pluralistic and democratic politics.</p></div>
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Feitosa, Daniela · Zenodo (CERN European Organization for Nuclear Research) · 2023
This release includes the list of interview questions
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Michelle Eglovitch (11469665), Anna Beth Parlier-Ahmad (18823862), Alison J. Patev (21020953) et al. · Figshare · 2025
Interview Guide. Contains qualitative interview guide.
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Rawlance Ndejjo (716936), Geofrey Musinguzi (403791), Fred Nuwaha (169425) et al. · Figshare · 2022
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Carol R. Rinke · Rowman & Littlefield Publishers eBooks · 2014
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Marcus Board · 2022
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Welzel, Antonia · Figshare · 2024
This is the interview guide for interviews conducted with practitioners about their experience with requirement conflicts in practice. It focuses on identifying different types of requirement conflicts and how they are usually managed. The results are published in the paper "Not All Conflicts Are the Same: An Empirical<br>Study of Requirement Conflicts in Practice".
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Kayla Stankevitz (6866378), Katie Schwartz (526122), Theresa Hoke (6866381) et al. · Figshare · 2019
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Anil Fastenau (19277491), Maxwell Oliver Beresford (20521328), Matthew Willis (302716) et al. · Figshare · 2025
<div><p>Background</p><p>Recent epidemiological data shows significant rates of grade 2 disability at point-of-diagnosis among new leprosy cases in Pakistan. This indicates a feature of extensive diagnostic delay; the disability burden appears unmoving and disproportionate to the falling leprosy incidence rates. Therefore, this study was required to understand reasons for delay in diagnosis and treatment of leprosy.</p><p>Methods</p><p>A qualitative design of 7 semi-structured interviews was employed to reveal perceptions and understandings of various leprosy stakeholders in Pakistan, termed “leprosy experts”. Subsequent inductive analysis was used to identify themes and subthemes concerned with delay in the diagnosis and treatment of leprosy.</p><p>Results</p><p>Leprosy experts identified three main areas, or domains, to which delay can be attributed: 1. Awareness and beliefs about leprosy, within the general population, 2. Knowledge and clinical experience of leprosy, among healthcare professionals, 3. Leprosy control program infrastructure, allocation of resources and institutional funding. These domains were each viewed as consequent to the larger theme of ‘low-endemicity’. Strong correlations between diagnostic delay and socioeconomic status, gender, geography and health system challenges, were also mentioned, and which intersected the three major themes.</p><p>Conclusion</p><p>Reasons for diagnostic delay are evident in all tiers of the healthcare hierarchy in Pakistan. Thus, an approach at multiple levels is justified, to improve the general awareness of leprosy, education of healthcare professionals, and organizational structuring. Additionally, cultural features relevant to different communities in Pakistan which might be different from other care access frameworks demonstrated a need for further study into the health beliefs of Pakistani patients in a wide range of communities.</p></div>
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Anita S. Hargrave (19556388), Carol Dawson-Rose (450181), Dean Schillinger (3177744) et al. · Figshare · 2024
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Dave Kellam · University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) · 2024
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Monika Nair (19360318), Petra Svedberg (6387647), Ingrid Larsson (5066492) et al. · Figshare · 2024
<div><p>Implementation of artificial intelligence systems for healthcare is challenging. Understanding the barriers and implementation strategies can impact their adoption and allows for better anticipation and planning. This study’s objective was to create a detailed inventory of barriers to and strategies for AI implementation in healthcare to support advancements in methods and implementation processes in healthcare. A sequential explanatory mixed method design was used. Firstly, scoping reviews and systematic literature reviews were identified using PubMed. Selected studies included empirical cases of AI implementation and use in clinical practice. As the reviews were deemed insufficient to fulfil the aim of the study, data collection shifted to the primary studies included in those reviews. The primary studies were screened by title and abstract, and thereafter read in full text. Then, data on barriers to and strategies for AI implementation were extracted from the included articles, thematically coded by inductive analysis, and summarized. Subsequently, a direct qualitative content analysis of 69 interviews with healthcare leaders and healthcare professionals confirmed and added results from the literature review. Thirty-eight empirical cases from the six identified scoping and literature reviews met the inclusion and exclusion criteria. Barriers to and strategies for AI implementation were grouped under three phases of implementation (planning, implementing, and sustaining the use) and were categorized into eleven concepts; Leadership, Buy-in, Change management, Engagement, Workflow, Finance and human resources, Legal, Training, Data, Evaluation and monitoring, Maintenance. Ethics emerged as a twelfth concept through qualitative analysis of the interviews. This study illustrates the inherent challenges and useful strategies in implementing AI in healthcare practice. Future research should explore various aspects of leadership, collaboration and contracts among key stakeholders, legal strategies surrounding clinicians’ liability, solutions to ethical dilemmas, infrastructure for efficient integration of AI in workflows, and define decision points in the implementation process.</p></div>
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Kellam, Dave · University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) · 2024
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Whenayon Simeon Ajisegiri (8207304), Seye Abimbola (324306), Azeb Gebresilassie Tesema (9553411) et al. · Figshare · 2021
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Nathaniel J. Pollock (9124773), Cassandra Yantha (20521404), Lil Tonmyr (740734) et al. · Figshare · 2025
<div><p>In health care and child welfare, clinical records and case notes serve multiple functions. When records are aggregated and processed to create administrative data, they can be analyzed and used to inform policy development and decision-making. To be useful, such data should be complete, accurate, and recorded in a standardized way. However, sources of bias and error can impact the quality of administrative data. During the development of national child welfare data in Canada, child welfare sector partners expressed concerns about the accuracy and completeness of data about children and families. This protocol describes a study that seeks to answer two questions: 1) What individual and institutional factors influence how client data is recorded by child welfare workers in Canada? 2) What data quality issues are created through documentation and case recording practices that may impact the use of clinical case management system data for public health statistics? In this protocol, we describe an exploratory mixed methods study that involves an online survey, interviews with a purposive sample of child welfare workers, and a document review of case recording guidelines. To be eligible for the study, participants must have worked at a child welfare agency or department with clinical documentation responsibilities as a part of their job. We will use descriptive statistics to analyze the survey data and thematic analysis to analyze the qualitative data. This study will help uncover strengths, limitations, and possible sources of bias created through case recording and documentation practices in child welfare. Study results will be shared through presentations to interest holders and will inform the further development of national child welfare data in Canada.</p></div>
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Rost, Wolf, Priefer, Dennis · Figshare · 2020
Please find all related documents athttps://figshare.com/articles/journal contribution/Model-Driven Development in the Content Management System Domain Empirical Assessment during Common Development Scenarios/12661538
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Nancy Santesso (435397), Melissa Beauchemin (8397858), Paula D. Robinson (11447016) et al. · Figshare · 2023
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Caleb Cord (12090760), Amy Javernick-Will (6077417), Elizabeth Buhungiro (12090763) et al. · Figshare · 2022
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Olinda D. Habib Perez (12822266), Samantha Martin (3572306), Katherine Chan (1639135) et al. · Figshare · 2022
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