scholarly journals Improving preprint withdrawals: A template based approach

2021 ◽  
Author(s):  
Jennifer Wright ◽  
Mohammad Hosseini
Keyword(s):  
Public Health ◽  
At Risk ◽  
Grey Literature ◽  
The Status ◽  
Clear Communication ◽  
Current Proposal

A review of recent published and grey literature revealed that practices in the preprint landscape are currently very varied, particularly regarding the “permanence” of preprints. The rapid increase of preprints during the COVID-19 pandemic has heightened concerns that the lack of transparency and clear communication about the status of preprints fuels misinformation and misunderstanding, puts public health at risk and might erode society’s trust in science. Through the current proposal, we seek to ameliorate one challenging aspect of using preprints - namely, their withdrawals - through introducing a transferrable, informative, interoperable, and transparent preprint withdrawal template. This template is currently being piloted on the Cambridge Open Engage platform.

scholarly journals Communicating Uncertainty During Public Health Emergency Events: A Systematic Review

2019 ◽  
Vol 7 ◽  
pp. 67-108
Author(s):  
Pradeep Sopory ◽  
Ashleigh M. Day ◽  
Julie M. Novak ◽  
Kristin Eckert ◽  
Lillian Wilkins ◽  
...  
Keyword(s):  
Public Health ◽  
Systematic Review ◽  
At Risk ◽  
Grey Literature ◽  
Public Health Emergency ◽  
Middle Income ◽  
The Public ◽  
Emergency Events ◽  
Event Uncertainty ◽  
Uncertainty Information

To answer the question, What are the best ways to communicate uncertainties to public audiences, at-risk communities, and stakeholders during public health emergency events? we conducted a systematic review of published studies, grey literature, and media reports in English and other United Nations (UN) languages: Arabic, Chinese, French, Russian, and Spanish. Almost 11,500 titles and abstracts were scanned of which 46 data-based primary studies were selected, which were classified into four methodological streams: Quantitative-comparison groups; Quantitative-descriptive survey; Qualitative; and Mixed-method and case-study. Study characteristics (study method, country, emergency type, emergency phase, at-risk population) and study findings (in narrative form) were extracted from individual studies. The findings were synthesized within methodological streams and evaluated for certainty and confidence. These within-method findings were next synthesized across methodological streams to develop an overarching synthesis of findings. The findings showed that country coverage focused on high and middle-income countries in Asia, Europe, North America, and Oceania, and the event most covered was infectious disease followed by flood and earthquake. The findings also showed that uncertainty during public health emergency events is a multi-faceted concept with multiple components (e.g., event occurrence, personal and family safety, recovery efforts). There is universal agreement, with some exceptions, that communication to the public should include explicit information about event uncertainties, and this information must be consistent and presented in an easy to understand format. Additionally, uncertainty related to events requires a distinction between uncertainty information and uncertainty experience. At-risk populations experience event uncertainty in the context of many other uncertainties they are already experiencing in their lives due to poverty. Experts, policymakers, healthcare workers, and other stakeholders experience event uncertainty and misunderstand some uncertainty information (e.g., event probabilities) similar to the public. Media professionals provide event coverage under conditions of contradictory and inconsistent event information that can heighten uncertainty experience for all.

Motivasi dan kepuasan kerja pegawai puskesmas BLUD dan non-BLUD Kabupaten Semarang

2018 ◽  
Vol 2 (3) ◽  
pp. 111
Author(s):  
Aswindar Adhi Gumilang ◽  
Tri Pitara Mahanggoro ◽  
Qurrotul Aini
Keyword(s):  
Public Health ◽  
Job Satisfaction ◽  
Financial Management ◽  
Work Motivation ◽  
P Value ◽  
The Public ◽  
The Status ◽  
The Difference ◽  
Demand For Health ◽  
Public Demand

The public demand for health service professionalism and transparent financial management made some Puskesmas in Semarang regency changed the status of public health center to BLUD. The implementation of Puskesmas BLUD and non-BLUD requires resources that it can work well in order to meet the expectations of the community. The aim of this study is to know the difference of work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD. Method of this research is a comparative descriptive with a quantitative approach. The object of this research are work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD Semarang regency. This Research showed that Sig value. (P-value) work motivation variable was 0.019 smaller than α value (0.05). It showed that there was a difference of work motivation of employees in Puskemas BLUD and non-BLUD. Sig value (P-value) variable of job satisfaction was 0.020 smaller than α value (0.05). It showed that there was a difference of job satisfaction of BLUD and non-BLUD. The average of non-BLUD employees motivation were 76.59 smaller than the average of BLUD employees were 78.25. The average of job satisfaction of BLUD employees were 129.20 bigger than the average of non-BLUD employee were 124.26. Job satisfaction of employees in Puskesmas BLUD was higher than non-BLUD employees.

scholarly journals Identifying Environmental Determinants Relevant to Health and Wellbeing in Remote Australian Indigenous Communities: A Scoping Review of Grey Literature

2021 ◽  
Vol 18 (8) ◽  
pp. 4167
Author(s):  
Amal Chakraborty ◽  
Mark Daniel ◽  
Natasha J. Howard ◽  
Alwin Chong ◽  
Nicola Slavin ◽  
...  
Keyword(s):  
Public Health ◽  
Chronic Diseases ◽  
Scoping Review ◽  
Classification System ◽  
Grey Literature ◽  
Indigenous Communities ◽  
Environmental Indicators ◽  
Health Concern ◽  
Environmental Determinants ◽  
Health And Wellbeing

The high prevalence of preventable infectious and chronic diseases in Australian Indigenous populations is a major public health concern. Existing research has rarely examined the role of built and socio-political environmental factors relating to remote Indigenous health and wellbeing. This research identified built and socio-political environmental indicators from publicly available grey literature documents locally-relevant to remote Indigenous communities in the Northern Territory (NT), Australia. Existing planning documents with evidence of community input were used to reduce the response burden on Indigenous communities. A scoping review of community-focused planning documents resulted in the identification of 1120 built and 2215 socio-political environmental indicators. Indicators were systematically classified using an Indigenous indicator classification system (IICS). Applying the IICS yielded indicators prominently featuring the “community infrastructure” domain within the built environment, and the “community capacity” domain within the socio-political environment. This research demonstrates the utility of utilizing existing planning documents and a culturally appropriate systematic classification system to consolidate environmental determinants that influence health and disease occurrence. The findings also support understanding of which features of community-level built and socio-political environments amenable to public health and social policy actions might be targeted to help reduce the prevalence of infectious and chronic diseases in Indigenous communities.

scholarly journals Identifying and bridging the knowledge-to-practice gaps in rehabilitation professionals working with at-risk infants in the public health sector of South Africa: a multimethod study protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e039242
Author(s):  
Pragashnie Govender
Keyword(s):  
Public Health ◽  
South Africa ◽  
At Risk ◽  
Neonatal Intensive Care ◽  
Qualitative Data ◽  
Health Sector ◽  
Critical Time ◽  
Reliability And Validity ◽  
The Public ◽  
Public Health Sector

IntroductionEarly childhood is a critical time when the benefits of early interventions are intensified, and the adverse effects of risk can be reduced. For the optimal provision of early intervention, professionals in the field are required to have specialised knowledge and skills in implementing these programmes. In the context of South Africa, there is evidence to suggest that therapists are ill-prepared to handle the unique challenges posed in neonatal intensive care units and wards with at-risk infants in the first few weeks of life. This is attributed to several reasons; however, irrespective of the causative factors, the need to bridge this knowledge-to-practice gap remains essential.Methods and analysisThis study is a multimethod stakeholder-driven study using a scoping review followed by an appreciative inquiry and Delphi process that will aid in the development, implementation and evaluation of a knowledge translation intervention to bridge knowledge-gaps in occupational and physiotherapists working in the field. Therapists currently working in the public health sector will be recruited for participation in the various stages of the study. The analysis will occur via thematic analysis for qualitative data and percentages and frequencies for descriptive quantitative data. Issues around trustworthiness and rigour, and reliability and validity, will be ensured within each of the phases, by use of a content validity index and inter-rater reliability for the Delphi survey; thick descriptions, peer debriefing, member checking and an audit trail for the qualitative data.Ethics and disseminationThe study has received full ethical approval from the Health Research and Knowledge Management Directorate of the Department of Health and a Biomedical Research Ethics Committee. The results will be published in peer-reviewed academic journals and disseminated to the relevant stakeholders within this study.

scholarly journals Artificial intelligence for good health: a scoping review of the ethics literature

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kathleen Murphy ◽  
Erica Di Ruggiero ◽  
Ross Upshur ◽  
Donald J. Willison ◽  
Neha Malhotra ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Global Health ◽  
Population Health ◽  
Health Systems ◽  
Scoping Review ◽  
Industrial Revolution ◽  
Ethical Issues ◽  
Grey Literature ◽  
Ethical Implications

Abstract Background Artificial intelligence (AI) has been described as the “fourth industrial revolution” with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health systems worldwide, as well as individual and population health outcomes. While AI may have potential for advancing health equity within and between countries, we must consider the ethical implications of its deployment in order to mitigate its potential harms, particularly for the most vulnerable. This scoping review addresses the following question: What ethical issues have been identified in relation to AI in the field of health, including from a global health perspective? Methods Eight electronic databases were searched for peer reviewed and grey literature published before April 2018 using the concepts of health, ethics, and AI, and their related terms. Records were independently screened by two reviewers and were included if they reported on AI in relation to health and ethics and were written in the English language. Data was charted on a piloted data charting form, and a descriptive and thematic analysis was performed. Results Upon reviewing 12,722 articles, 103 met the predetermined inclusion criteria. The literature was primarily focused on the ethics of AI in health care, particularly on carer robots, diagnostics, and precision medicine, but was largely silent on ethics of AI in public and population health. The literature highlighted a number of common ethical concerns related to privacy, trust, accountability and responsibility, and bias. Largely missing from the literature was the ethics of AI in global health, particularly in the context of low- and middle-income countries (LMICs). Conclusions The ethical issues surrounding AI in the field of health are both vast and complex. While AI holds the potential to improve health and health systems, our analysis suggests that its introduction should be approached with cautious optimism. The dearth of literature on the ethics of AI within LMICs, as well as in public health, also points to a critical need for further research into the ethical implications of AI within both global and public health, to ensure that its development and implementation is ethical for everyone, everywhere.

scholarly journals Parent-Mediated Interventions for Infants under 24 Months at Risk for Autism Spectrum Disorder: A Systematic Review of Randomized Controlled Trials

2021 ◽  
Author(s):  
Mei L. Law ◽  
Jatinder Singh ◽  
Mathilde Mastroianni ◽  
Paramala Santosh
Keyword(s):  
Autism Spectrum Disorder ◽  
At Risk ◽  
Randomized Controlled Trials ◽  
Grey Literature ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Controlled Trials ◽  
Intervention Effects ◽  
Level Of Evidence ◽  
Randomized Controlled

AbstractProdromal symptoms of Autism Spectrum Disorder (ASD) have been detected within the first year of life. This review evaluated evidence from randomized controlled trials (RCTs) of parent-mediated interventions for infants under 24 months who are at risk for ASD. Electronic databases, including grey literature, were searched up till November 2019. Seven RCTs were identified. There was substantial heterogeneity in recruitment, outcome measures and effect size calculations. Interventions did not reduce the risk of later ASD diagnosis and post-intervention effects on infant outcomes were inconsistent, with five studies reporting significant improvements across both treatment and control groups. Moderate level of evidence of intervention effects on parental interaction skills and the small number of RCTs, and significant limitations restrict generalizability across studies.

scholarly journals Conceptualising natural and quasi experiments in public health

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Frank de Vocht ◽  
Srinivasa Vittal Katikireddi ◽  
Cheryl McQuire ◽  
Kate Tilling ◽  
Matthew Hickman ◽  
...  
Keyword(s):  
Public Health ◽  
Study Design ◽  
Grey Literature ◽  
Public Health Research ◽  
Natural Experiments ◽  
Target Trial ◽  
Design Elements ◽  
Randomized Controlled ◽  
Study Designs ◽  
The Impact

Abstract Background Natural or quasi experiments are appealing for public health research because they enable the evaluation of events or interventions that are difficult or impossible to manipulate experimentally, such as many policy and health system reforms. However, there remains ambiguity in the literature about their definition and how they differ from randomized controlled experiments and from other observational designs. We conceptualise natural experiments in the context of public health evaluations and align the study design to the Target Trial Framework. Methods A literature search was conducted, and key methodological papers were used to develop this work. Peer-reviewed papers were supplemented by grey literature. Results Natural experiment studies (NES) combine features of experiments and non-experiments. They differ from planned experiments, such as randomized controlled trials, in that exposure allocation is not controlled by researchers. They differ from other observational designs in that they evaluate the impact of events or process that leads to differences in exposure. As a result they are, in theory, less susceptible to bias than other observational study designs. Importantly, causal inference relies heavily on the assumption that exposure allocation can be considered ‘as-if randomized’. The target trial framework provides a systematic basis for evaluating this assumption and the other design elements that underpin the causal claims that can be made from NES. Conclusions NES should be considered a type of study design rather than a set of tools for analyses of non-randomized interventions. Alignment of NES to the Target Trial framework will clarify the strength of evidence underpinning claims about the effectiveness of public health interventions.

scholarly journals Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ania Syrowatka ◽  
Masha Kuznetsova ◽  
Ava Alsubai ◽  
Adam L. Beckman ◽  
Paul A. Bain ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Real Time ◽  
Scoping Review ◽  
Grey Literature ◽  
Use Cases ◽  
Outbreak Detection ◽  
Response To Treatment ◽  
Pandemic Preparedness ◽  
Modeling Approaches

AbstractArtificial intelligence (AI) represents a valuable tool that could be widely used to inform clinical and public health decision-making to effectively manage the impacts of a pandemic. The objective of this scoping review was to identify the key use cases for involving AI for pandemic preparedness and response from the peer-reviewed, preprint, and grey literature. The data synthesis had two parts: an in-depth review of studies that leveraged machine learning (ML) techniques and a limited review of studies that applied traditional modeling approaches. ML applications from the in-depth review were categorized into use cases related to public health and clinical practice, and narratively synthesized. One hundred eighty-three articles met the inclusion criteria for the in-depth review. Six key use cases were identified: forecasting infectious disease dynamics and effects of interventions; surveillance and outbreak detection; real-time monitoring of adherence to public health recommendations; real-time detection of influenza-like illness; triage and timely diagnosis of infections; and prognosis of illness and response to treatment. Data sources and types of ML that were useful varied by use case. The search identified 1167 articles that reported on traditional modeling approaches, which highlighted additional areas where ML could be leveraged for improving the accuracy of estimations or projections. Important ML-based solutions have been developed in response to pandemics, and particularly for COVID-19 but few were optimized for practical application early in the pandemic. These findings can support policymakers, clinicians, and other stakeholders in prioritizing research and development to support operationalization of AI for future pandemics.

scholarly journals Lockdowns, lives and livelihoods: the impact of COVID-19 and public health responses to conflict affected populations - a remote qualitative study in Baidoa and Mogadishu, Somalia

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Dorien H. Braam ◽  
Sharath Srinivasan ◽  
Luke Church ◽  
Zakaria Sheikh ◽  
Freya L. Jephcott ◽  
...  
Keyword(s):  
Public Health ◽  
Qualitative Study ◽  
Narrative Analysis ◽  
Grey Literature ◽  
Age Groups ◽  
Research Approach ◽  
Structured Interviews ◽  
Or Education ◽  
Public Health Response ◽  
The Impact

Abstract Background Authorities in Somalia responded with drastic measures after the first confirmed COVID-19 case in mid-March 2020, closing borders, schools, limiting travel and prohibiting most group functions. However, the impact of the pandemic in Somalia thereafter remained unclear. This study employs a novel remote qualitative research method in a conflict-affected setting to look at how some of the most at-risk internally displaced and host populations were impacted by COVID-19, what determined their responses, and how this affected their health and socio-economic vulnerability. Methods We conducted a remote qualitative study, using Katikati, a 1-to-1 conversation management and analysis platform using short message service (SMS) developed by Lark Systems with Africa’s Voices Foundation (AVF), for semi-structured interviews over three months with participants in Mogadishu and Baidoa. We recruited a gender balanced cohort across age groups, and used an analytical framework on the social determinants of health for a narrative analysis on major themes discussed, triangulating data with existing peer-reviewed and grey literature. Results The remote research approach demonstrated efficacy in sustaining trusted and meaningful conversations for gathering qualitative data from hard-to-reach conflict-affected communities. The major themes discussed by the 35 participants included health, livelihoods and education. Two participants contracted the disease, while others reported family or community members affected by COVID-19. Almost all participants faced a loss of income and/or education, primarily as a result of the strict public health measures. Some of those who were heavily affected economically but did not directly experienced disease, denied the pandemic. Religion played an important role in participants’ beliefs in protection against and salvation from the disease. As lockdowns were lifted in August 2020, many believed the pandemic to be over. Conclusions While the official COVID-19 burden has remained relatively low in Somalia, the impact to people’s daily lives, income and livelihoods due to public health responses, has been significant. Participants describe those ‘secondary’ outcomes as the main impact of the pandemic, serving as a stark reminder of the need to broaden the public health response beyond disease prevention to include social and economic interventions to decrease people’s vulnerability to future shocks.

Sign in / Sign up

Export Citation Format

Share Document