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BMJ Open Jul 2023The objective of this review protocol is to map the available evidence regarding all the oral health surveys of Traditional Peoples and Communities (TPCs) in Brazil.
OBJECTIVE
The objective of this review protocol is to map the available evidence regarding all the oral health surveys of Traditional Peoples and Communities (TPCs) in Brazil.
METHODS AND ANALYSIS
The review question of the protocol is: 'What evidence is available on the oral health surveys of Traditional Peoples and Communities in Brazil?'. Observational studies that report oral health surveys of TPC in Brazil will be included. The protocol considered the Problem, Concept and Context strategy to guide data collection, as established by the Joanna Briggs Institute. The search strategy will consider Medical Subject Headings terms, synonyms and relevant free terms about epidemiological surveys in oral health and TPC in Brazil, with no limits to data, language, subject or search type, in the databases Medical Literature Analysis and Retrieval System Online (MEDLINE/PubMed), Literatura Latino-americana e do Caribe em Ciências da Saúde (LILACS), Scopus, Web of Science and Embase. Bibliographic searches will be updated until June 2023. The selection will be carried out by two independent, blinded reviewers, following the eligibility criteria, based on the title and abstract identified in the initial search. Potentially eligible studies will be fully read to confirm eligibility and collect relevant information. The categorisation of the studies will consider the author and year of publication, the traditional group studied, the study design, geographic location, age group, sample size, data collection method and the main oral health problem evaluated and its outcome. The data obtained and extracted will be presented in table format and text and presented using the visualisation of similarities method.
ETHICS AND DISSEMINATION
The present study does not need ethical approval. The protocol title was registered in the Open Science Framework (DOI 10.17605/OSF.IO/BQ5J3). A final article will be prepared presenting the results of the scoping review, and will be submitted for publication in a peer-reviewed journal. The findings of this review will be presented at national conferences and scientific meetings.
Topics: Humans; Academies and Institutes; Brazil; Health Surveys; Oral Health; Research Design; Review Literature as Topic
PubMed: 37474183
DOI: 10.1136/bmjopen-2023-074620 -
Journal of Medical Internet Research Oct 2023YouTube has become a popular source of health care information, reaching an estimated 81% of adults in 2021; approximately 35% of adults in the United States have used...
BACKGROUND
YouTube has become a popular source of health care information, reaching an estimated 81% of adults in 2021; approximately 35% of adults in the United States have used the internet to self-diagnose a condition. Public health researchers are therefore incorporating YouTube data into their research, but guidelines for best practices around research ethics using social media data, such as YouTube, are unclear.
OBJECTIVE
This study aims to describe approaches to research ethics for public health research implemented using YouTube data.
METHODS
We implemented a systematic review of articles found in PubMed, SocINDEX, Web of Science, and PsycINFO following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. To be eligible to be included, studies needed to be published in peer-reviewed journals in English between January 1, 2006, and October 31, 2019, and include analyses on publicly available YouTube data on health or public health topics; studies using primary data collection, such as using YouTube for study recruitment, interventions, or dissemination evaluations, were not included. We extracted data on the presence of user identifying information, institutional review board (IRB) review, and informed consent processes, as well as research topic and methodology.
RESULTS
This review includes 119 articles from 88 journals. The most common health and public health topics studied were in the categories of chronic diseases (44/119, 37%), mental health and substance use (26/119, 21.8%), and infectious diseases (20/119, 16.8%). The majority (82/119, 68.9%) of articles made no mention of ethical considerations or stated that the study did not meet the definition of human participant research (16/119, 13.4%). Of those that sought IRB review (15/119, 12.6%), 12 out of 15 (80%) were determined to not meet the definition of human participant research and were therefore exempt from IRB review, and 3 out of 15 (20%) received IRB approval. None of the 3 IRB-approved studies contained identifying information; one was explicitly told not to include identifying information by their ethics committee. Only 1 study sought informed consent from YouTube users. Of 119 articles, 33 (27.7%) contained identifying information about content creators or video commenters, one of which attempted to anonymize direct quotes by not including user information.
CONCLUSIONS
Given the variation in practice, concrete guidelines on research ethics for social media research are needed, especially around anonymizing and seeking consent when using identifying information.
TRIAL REGISTRATION
PROSPERO CRD42020148170; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=148170.
Topics: Adult; Humans; Data Collection; Ethics Committees, Research; Ethics, Research; Informed Consent; Social Media
PubMed: 37792443
DOI: 10.2196/43060 -
BMC Health Services Research Dec 2023In response to the escalating global prevalence of substance use and the specific challenges faced in Northern Ontario, Canada, an Addiction Medicine Unit (AMU) was...
BACKGROUND
In response to the escalating global prevalence of substance use and the specific challenges faced in Northern Ontario, Canada, an Addiction Medicine Unit (AMU) was established at Health Sciences North (HSN) in Sudbury. This protocol outlines the approach for a comprehensive evaluation of the AMU, with the aim of assessing its impact on patient outcomes, healthcare utilization, and staff perspectives.
METHODS
We conducted a parallel mixed-method study that encompassed the analysis of single-center-level administrative health data and primary data collection, including a longitudinal observational study (target n = 1,200), pre- and post-admission quantitative interviews (target n = 100), and qualitative interviews (target n = 25 patients and n = 15 staff). We implemented a participatory approach to this evaluation, collaborating with individuals who possess lived or living expertise in drug use, frontline staff, and decision-makers across the hospital. Data analysis methods encompass a range of statistical techniques, including logistic regression models, Cox proportional hazards models, Kaplan-Meier curves, Generalized Estimating Equations (GEE), and thematic qualitative analysis, ensuring a robust evaluation of patient outcomes and healthcare utilization.
DISCUSSION
This protocol serves as the foundation for a comprehensive assessment designed to provide insights into the AMU's effectiveness in addressing substance use-related challenges, reducing healthcare disparities, and improving patient outcomes. All study procedures have been meticulously designed to align with the ethical principles outlined in the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans. The findings will be disseminated progressively through committees and working groups established for this research, and subsequently published in peer-reviewed journals. Anticipated outcomes include informing evidence-based healthcare decision-making and driving improvements in addiction treatment practices within healthcare settings.
Topics: Humans; Ontario; Addiction Medicine; Substance-Related Disorders; Behavior, Addictive; Data Collection; Observational Studies as Topic
PubMed: 38057899
DOI: 10.1186/s12913-023-10313-0 -
Scientific Reports Jan 2024Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection...
Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized patient care. However, conventional machine learning workflow requires data to be transferred to the remote cloud server, which leads to significant privacy concerns. To tackle this problem, researchers have proposed federated learning, where end-point users collaboratively learn a shared model without sharing local data. However, data heterogeneity, i.e., variations in data distributions within a client (intra-client) or across clients (inter-client), degrades the performance of federated learning. Existing state-of-the-art methods mainly consider inter-client data heterogeneity, whereas intra-client variations have not received much attention. To address intra-client variations in federated learning, we propose a federated clustered multi-domain learning algorithm based on ClusterGAN, multi-domain learning, and graph neural networks. We applied the proposed algorithm to a case study on stress-level prediction, and our proposed algorithm outperforms two state-of-the-art methods by 4.4% in accuracy and 0.06 in the F1 score. In addition, we demonstrate the effectiveness of the proposed algorithm by investigating variants of its different modules.
Topics: Humans; Artificial Intelligence; Algorithms; Data Collection; Health Facilities; Internet of Things
PubMed: 38195834
DOI: 10.1038/s41598-024-51344-9 -
F1000Research 2023As nations, businesses, and individuals rely on the Internet for everyday use, so are cybercriminals manipulating systems to access information illegally and disrupting... (Review)
Review
BACKGROUND
As nations, businesses, and individuals rely on the Internet for everyday use, so are cybercriminals manipulating systems to access information illegally and disrupting services for financial gain. The global cost of cybercrime eclipsed one trillion US Dollars in 2020, with Africa losing US $3.5 billion.
METHODS
A quantitative research methodology was adopted to investigate factors affecting cybercrime in Zimbabwean financial institutions. The study focused on the technical aspects of cybersecurity. Data were collected from July 2022 to October 2022, targeting technology experts in the financial services sector. Participants were recruited from 13 institutions to rank cybersecurity constructs, frameworks, and challenges associated with cybersecurity. Data was collected using a questionnaire distributed to participants. Descriptive statistics were used to extract meanings from the responses that measure mean and standard deviation.
RESULTS
Network and data security were the most highly ranked cybersecurity constructs, while physical security was the least. The top three barriers are increasing sophistication of threats, limited skills and emerging technologies, while lack of executive support was the least. The top frameworks used are the Information Technology Infrastructure Library (ITIL) and Control Objectives for Information and Related Technologies (COBIT), while a fifth is yet to adopt cybercrime frameworks.
CONCLUSIONS
The study proposes that financial institutions establish a cybersecurity culture to fight cybercrime, addressing cybersecurity barriers and following best practices. Financial institutions should invest in cybersecurity technologies, train security specialists, and employ a Chief Information Security Officer (CISO). The study's small sample may affect the generalisability of the results. Financial institutions should implement strategies to raise awareness and collaborate with institutions to train cybersecurity security specialists to close the skills gap.
Topics: Humans; Commerce; Computer Security; Data Collection; Zimbabwe
PubMed: 38559360
DOI: 10.12688/f1000research.132823.2 -
PloS One 2023In the last 50 years, the study of brain development has brought major discoveries to education and medicine, changing the lives of millions of children and families....
In the last 50 years, the study of brain development has brought major discoveries to education and medicine, changing the lives of millions of children and families. However, collecting behavioral and neurophysiological data from children has specific challenges, such as high rates of data loss and participant dropout. We have developed a science camp method to collect data from children using the benefits of positive peer interactions and interactive and engaging activities, to allow researchers to better collect data repeatedly and reliably from groups of children. A key advantage of this approach is that by increasing participant engagement, attention is also increased, thereby increasing data quality, reducing data loss, and lowering attrition rates. This protocol describes the step-by-step procedure for facilitation of a science camp, including behavioral, electrophysiological, and participatory engagement activities. As this method is robust but also flexible, we anticipate that it can also be applied to different demographics and research needs.
Topics: Child; Humans; Peer Group; Science; Data Collection
PubMed: 37556483
DOI: 10.1371/journal.pone.0289299 -
Public Health Dec 2023Integrated disease surveillance (IDS) offers the potential for better use of surveillance data to guide responses to public health threats. However, the extent of IDS...
OBJECTIVES
Integrated disease surveillance (IDS) offers the potential for better use of surveillance data to guide responses to public health threats. However, the extent of IDS implementation worldwide is unknown. This study sought to understand how IDS is operationalized, identify implementation challenges and barriers, and identify opportunities for development.
STUDY DESIGN
Synthesis of qualitative studies undertaken in seven countries.
METHODS
Thirty-four focus group discussions and 48 key informant interviews were undertaken in Pakistan, Mozambique, Malawi, Uganda, Sweden, Canada, and England, with data collection led by the respective national public health institutes. Data were thematically analysed using a conceptual framework that covered governance, system and structure, core functions, finance and resourcing requirements. Emerging themes were then synthesised across countries for comparisons.
RESULTS
None of the countries studied had fully integrated surveillance systems. Surveillance was often fragmented, and the conceptualization of integration varied. Barriers and facilitators identified included: 1) the need for clarity of purpose to guide integration activities; 2) challenges arising from unclear or shared ownership; 3) incompatibility of existing IT systems and surveillance infrastructure; 4) workforce and skills requirements; 5) legal environment to facilitate data sharing between agencies; and 6) resourcing to drive integration. In countries dependent on external funding, the focus on single diseases limited integration and created parallel systems.
CONCLUSIONS
A plurality of surveillance systems exists globally with varying levels of maturity. While development of an international framework and standards are urgently needed to guide integration efforts, these must be tailored to country contexts and guided by their overarching purpose.
Topics: Humans; Public Health; Focus Groups; Qualitative Research; Uganda; Data Collection
PubMed: 37925838
DOI: 10.1016/j.puhe.2023.10.008 -
BMC Medical Research Methodology Jul 2023Efficient measurement of the receipt of cancer screening has been attempted with electronic health records (EHRs), but EHRs are commonly implemented within a single...
BACKGROUND
Efficient measurement of the receipt of cancer screening has been attempted with electronic health records (EHRs), but EHRs are commonly implemented within a single health care setting. However, health information exchange (HIE) includes EHR data from multiple health care systems and settings, thereby providing a more population-based measurement approach. In this study, we set out to understand the value of statewide HIE data in comparison to survey self-report (SR) to measure population-based cancer screening.
METHODS
A statewide survey was conducted among residents in Indiana who had been seen at an ambulatory or inpatient clinical setting in the past year. Measured cancer screening tests included colonoscopy and fecal immunochemical test (FIT) for colorectal cancer, human papilloma virus (HPV) and Pap tests for cervical cancer, and mammogram for breast cancer. For each screening test, the self-reported response for receipt of the screening (yes/no) and 'time since last screening' were compared with the corresponding information from patient HIE to evaluate the concordance between the two measures.
RESULTS
Gwet's AC for HIE and self-report of screening receipt ranged from 0.24-0.73, indicating a fair to substantial concordance. For the time since receipt of last screening test, the Gwet's AC ranged from 0.21-0.90, indicating fair to almost perfect concordance. In comparison with SR data, HIE data provided relatively more additional information about laboratory-based tests: FIT (19% HIE alone vs. 4% SR alone) and HPV tests (27% HIE alone vs. 12% SR alone) and less additional information about procedures: colonoscopy (8% HIE alone vs. 23% SR alone), Pap test (13% HIE alone vs. 19% SR alone), or mammography (9% HIE alone vs. 10% SR alone).
CONCLUSION
Studies that use a single data source should consider the type of cancer screening test to choose the optimal data collection method. HIE and self-report both provided unique information in measuring cancer screening, and the most robust measurement approach involves collecting screening information from both HIE and patient self-report.
Topics: Humans; Health Information Exchange; Early Detection of Cancer; Self Report; Papillomavirus Infections; Electronic Health Records; Neoplasms
PubMed: 37491208
DOI: 10.1186/s12874-023-01907-7 -
BMC Health Services Research Apr 2024Health outcomes are strongly impacted by social determinants of health, including social risk factors and patient demographics, due to structural inequities and...
BACKGROUND
Health outcomes are strongly impacted by social determinants of health, including social risk factors and patient demographics, due to structural inequities and discrimination. Primary care is viewed as a potential medical setting to assess and address individual health-related social needs and to collect detailed patient demographics to assess and advance health equity, but limited literature evaluates such processes.
METHODS
We conducted an analysis of cross-sectional survey data collected from n = 507 Maryland Primary Care Program (MDPCP) practices through Care Transformation Requirements (CTR) reporting in 2022. Descriptive statistics were used to summarize practice responses on social needs screening and demographic data collection. A stepwise regression analysis was conducted to determine factors predicting screening of all vs. a targeted subset of beneficiaries for unmet social needs.
RESULTS
Almost all practices (99%) reported conducting some form of social needs screening and demographic data collection. Practices reported variation in what screening tools or demographic questions were employed, frequency of screening, and how information was used. More than 75% of practices reported prioritizing transportation, food insecurity, housing instability, financial resource strain, and social isolation.
CONCLUSIONS
Within the MDPCP program there was widespread implementation of social needs screenings and demographic data collection. However, there was room for additional supports in addressing some challenging social needs and increasing detailed demographics. Further research is needed to understand any adjustments to clinical care in response to identified social needs or application of data for uses such as assessing progress towards health equity and the subsequent impact on clinical care and health outcomes.
Topics: Aged; Humans; United States; Medicare; Maryland; Cross-Sectional Studies; Housing; Primary Health Care; Data Collection
PubMed: 38600578
DOI: 10.1186/s12913-024-10948-7 -
BMC Medical Research Methodology Mar 2024Clinical trials are of high importance for medical progress. This study conducted a systematic review to identify the applications of EHRs in supporting and enhancing...
BACKGROUND AND OBJECTIVE
Clinical trials are of high importance for medical progress. This study conducted a systematic review to identify the applications of EHRs in supporting and enhancing clinical trials.
MATERIALS AND METHODS
A systematic search of PubMed was conducted on 12/3/2023 to identify relevant studies on the use of EHRs in clinical trials. Studies were included if they (1) were full-text journal articles, (2) were written in English, (3) examined applications of EHR data to support clinical trial processes (e.g. recruitment, screening, data collection). A standardized form was used by two reviewers to extract data on: study design, EHR-enabled process(es), related outcomes, and limitations.
RESULTS
Following full-text review, 19 studies met the predefined eligibility criteria and were included. Overall, included studies consistently demonstrated that EHR data integration improves clinical trial feasibility and efficiency in recruitment, screening, data collection, and trial design.
CONCLUSIONS
According to the results of the present study, the use of Electronic Health Records in conducting clinical trials is very helpful. Therefore, it is better for researchers to use EHR in their studies for easy access to more accurate and comprehensive data. EHRs collects all individual data, including demographic, clinical, diagnostic, and therapeutic data. Moreover, all data is available seamlessly in EHR. In future studies, it is better to consider the cost-effectiveness of using EHR in clinical trials.
Topics: Humans; Data Collection; Electronic Health Records; PubMed; Research Design; Clinical Trials as Topic
PubMed: 38494497
DOI: 10.1186/s12874-024-02177-7