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Article ; Online: Analysis of hemoglobin A1c from dried blood spot samples with the Tina-quantR II immunoturbidimetric method.

Jones, Trevor G / Warber, Kimbrough D / Roberts, Billy D

Journal of diabetes science and technology

2010 Volume 4, Issue 2, Page(s) 244–249

Abstract: ... 226 filter paper. These DBS samples were compared to whole blood samples using the Roche Tina-quant II ... for up to 9 days. A 44-day study was also done for DBS at 20-25 degrees C.: Results: The Tina-quant II ...

Abstract	Background: Hemoglobin A1c (HbA1c) has been endorsed as a tool for the diagnosis of diabetes. This test requires instrumentation that may not be available in underdeveloped areas. Dried blood spot (DBS) samples collected by finger stick procedures offer a mechanism to transport samples to laboratories that do measure HbA1c. Methods: Whole blood (ethylenediaminetetraacetic acid) was applied to Ahlstrom 226 filter paper. These DBS samples were compared to whole blood samples using the Roche Tina-quant II immunoturbidometric assay. Hemoglobin A1c stability on DBS was assessed at three temperatures-4, 25, and 40 degrees C-for up to 9 days. A 44-day study was also done for DBS at 20-25 degrees C. Results: The Tina-quant II DBS method showed excellent agreement with whole blood HbA1c results (r(2) = 0.99) with a slight positive mean bias of 0.08 +/- 0.04% HbA1c (95% confidence interval). The variation in HbA1c on DBS samples subjected to different temperatures and times did not exceed 5.6%. Conclusions: Dried blood spot samples represent an alternative to whole blood for HbA1c by measurement when transporting whole blood is not feasible.
MeSH term(s)	Blood Chemical Analysis/methods ; Blood Specimen Collection/methods ; Chromatography, High Pressure Liquid/methods ; Diabetes Mellitus/blood ; Diabetes Mellitus/diagnosis ; Drug Stability ; Fingers/blood supply ; Glycated Hemoglobin A/analysis ; Humans ; Nephelometry and Turbidimetry/methods ; Sensitivity and Specificity ; Time Factors
Chemical Substances	Glycated Hemoglobin A
Language	English
Publishing date	2010-03-01
Publishing country	United States
Document type	Journal Article
ISSN	1932-2968
ISSN (online)	1932-2968
DOI	10.1177/193229681000400203
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Article ; Online: Letter to the editor.

Jones, Imogen Anne / Silver, Katie / Joshi, Lovleen Tina

American journal of infection control

2021 Volume 50, Issue 2, Page(s) 241

Language	English
Publishing date	2021-10-13
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	392362-9
ISSN	1527-3296 ; 0196-6553
ISSN (online)	1527-3296
ISSN	0196-6553
DOI	10.1016/j.ajic.2021.09.024
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Zs.A 1773: Show issues

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Article ; Online: Special Issue

Alicia Capello / Jamaica Jones / Marla Hertz / Tina Griffin

Journal of eScience Librarianship, Vol 12, Iss

2023 Research Data Access and Preservation (RDAP) Summit

2023 Volume 3

Abstract: The 2023 Research Data Access and Preservation (RDAP) Summit, Building on Experience: Centering Communities in Data Creation and Access, focused on engagement with and building communities within data environments, including how data is being made more ... ...

Abstract	The 2023 Research Data Access and Preservation (RDAP) Summit, Building on Experience: Centering Communities in Data Creation and Access, focused on engagement with and building communities within data environments, including how data is being made more accessible for a wider range of communities. The 2023 RDAP Summit was a natural extension from the prior year’s theme of Envisioning an Inclusive Data Future, which highlighted the ways data service providers tailor their services to address specific needs. A selection of presentations from this year’s Summit were expanded into articles for this special issue covering topics on developing and maintaining communities that address aspects across the research data life cycle.
Keywords	RDAP ; conference proceedings ; community ; Bibliography. Library science. Information resources ; Z
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	UMass Chan Medical School, Lamar Soutter Library
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Biocide Use in the Antimicrobial Era: A Review.

Jones, Imogen Anne / Joshi, Lovleen Tina

Molecules (Basel, Switzerland)

2021 Volume 26, Issue 8

Abstract: Biocides are widely used in healthcare and industry to control infections and microbial contamination. Ineffectual disinfection of surfaces and inappropriate use of biocides can result in the survival of microorganisms such as bacteria and viruses on ... ...

Abstract	Biocides are widely used in healthcare and industry to control infections and microbial contamination. Ineffectual disinfection of surfaces and inappropriate use of biocides can result in the survival of microorganisms such as bacteria and viruses on inanimate surfaces, often contributing to the transmission of infectious agents. Biocidal disinfectants employ varying modes of action to kill microorganisms, ranging from oxidization to solubilizing lipids. This review considers the main biocides used within healthcare and industry environments and highlights their modes of action, efficacy and relevance to disinfection of pathogenic bacteria. This information is vital for rational use and development of biocides in an era where microorganisms are becoming resistant to chemical antimicrobial agents.
MeSH term(s)	Anti-Bacterial Agents/chemistry ; Anti-Bacterial Agents/pharmacology ; Disinfectants/chemistry ; Disinfectants/pharmacology ; Drug Resistance, Bacterial/drug effects ; Molecular Conformation
Chemical Substances	Anti-Bacterial Agents ; Disinfectants
Language	English
Publishing date	2021-04-14
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	1413402-0
ISSN	1420-3049 ; 1431-5165 ; 1420-3049
ISSN (online)	1420-3049
ISSN	1431-5165 ; 1420-3049
DOI	10.3390/molecules26082276
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Article ; Online: Isolation of

Waterfield, Shannon / Ahmed, Humaira / Jones, Imogen Anne / Burky, Robert / Joshi, Lovleen Tina

Journal of medical microbiology

2022 Volume 71, Issue 6

Abstract: Background. ...

Abstract	Background.
MeSH term(s)	Clostridioides ; Clostridioides difficile/genetics ; Clostridium Infections/epidemiology ; Hospitals ; Humans ; Polymerase Chain Reaction ; Ribotyping
Language	English
Publishing date	2022-06-01
Publishing country	England
Document type	Journal Article
ZDB-ID	218356-0
ISSN	1473-5644 ; 0022-2615
ISSN (online)	1473-5644
ISSN	0022-2615
DOI	10.1099/jmm.0.001550
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Zs.A 634: Show issues

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Article ; Online: A study of error reporting by nurses: the significant impact of nursing team dynamics.

Munn, Lindsay Thompson / Lynn, Mary R / Knafl, George J / Willis, Tina Schade / Jones, Cheryl B

Journal of research in nursing : JRN

2023 Volume 28, Issue 5, Page(s) 354–364

Abstract: Background: Error reporting is crucial for organisational learning and improving patient safety in hospitals, yet errors are significantly underreported.: Aims: The aim of this study was to understand how the nursing team dynamics of leader ... ...

Abstract	Background: Error reporting is crucial for organisational learning and improving patient safety in hospitals, yet errors are significantly underreported. Aims: The aim of this study was to understand how the nursing team dynamics of leader inclusiveness, safety climate and psychological safety affected the willingness of hospital nurses to report errors. Methods: The study was a cross-sectional design. Self-administered surveys were used to collect data from nurses and nurse managers. Data were analysed using linear mixed models. Bootstrap confidence intervals with bias correction were used for mediation analysis. Results: Leader inclusiveness, safety climate and psychological safety significantly affected willingness to report errors. Psychological safety mediated the relationship between safety climate and error reporting as well as the relationship between leader inclusiveness and error reporting. Conclusion: The findings of the study emphasise the importance of nursing team dynamics to error reporting and suggest that psychological safety is especially important to error reporting.
Language	English
Publishing date	2023-10-25
Publishing country	England
Document type	Journal Article
ZDB-ID	2173772-1
ISSN	1744-988X ; 1744-9871
ISSN (online)	1744-988X
ISSN	1744-9871
DOI	10.1177/17449871231194180
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Article ; Online: Can Peer-based Interventions Improve Adolescent Sexual and Reproductive Health Outcomes? An Overview of Reviews.

Mason-Jones, Amanda J / Freeman, Marlon / Lorenc, Theo / Rawal, Tina / Bassi, Shalini / Arora, Monika

The Journal of adolescent health : official publication of the Society for Adolescent Medicine

2023 Volume 73, Issue 6, Page(s) 975–982

Abstract: Purpose: An overview of reviews was conducted to summarize the evidence and synthesize the results from systematic reviews.: Methods: The Cochrane and Preferred Reporting Items for Overviews of Reviews reporting guidelines were followed and the ... ...

Abstract	Purpose: An overview of reviews was conducted to summarize the evidence and synthesize the results from systematic reviews. Methods: The Cochrane and Preferred Reporting Items for Overviews of Reviews reporting guidelines were followed and the protocol was registered. Electronic and manual searches were conducted to identify systematic reviews, published between January 1990 and July 2022. Studies with outcomes relating to all areas of adolescent sexual and reproductive health (SRH) (changes in knowledge, attitudes, beliefs, skills, and practices) were considered. The ROBIS (Risk of Bias in Systematic Reviews) tool was used to assess quality. Results: A total 1849 articles were retrieved, and eight reviews met the inclusion criteria. Three of the eight reviews included meta-analyses. All three of these reviews demonstrated a significant improvement in HIV knowledge. One reported improved attitudes toward people living with HIV but none found any statistically significant effect on condom use or other SRH behaviors. The remaining five reviews included reports of positive individual study outcomes related to knowledge and attitudes and provided narrative syntheses with regard to recruitment, training, support, and participation of peers. Five of the eight reviews were judged to have a low risk of bias. Discussion: Our overview demonstrates that peer-based interventions can improve SRH knowledge and attitudes. Evidence of their effectiveness in promoting healthier SRH behaviors is less certain. Any future studies need to investigate which adolescent health outcomes peer-based programs could reasonably be expected to improve using robust methodologies. Additionally, peers need to be meaningfully engaged and acknowledged as experience-based experts.
MeSH term(s)	Humans ; Adolescent ; Reproductive Health ; Systematic Reviews as Topic ; Sexual Behavior ; Safe Sex ; HIV Infections/prevention & control
Language	English
Publishing date	2023-07-13
Publishing country	United States
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	1063374-1
ISSN	1879-1972 ; 1054-139X
ISSN (online)	1879-1972
ISSN	1054-139X
DOI	10.1016/j.jadohealth.2023.05.035
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Zs.B 2453: Show issues

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Article ; Online: Biocide Use in the Antimicrobial Era

Imogen Anne Jones / Lovleen Tina Joshi

Molecules, Vol 26, Iss 2276, p

A Review

2021 Volume 2276

Abstract	Biocides are widely used in healthcare and industry to control infections and microbial contamination. Ineffectual disinfection of surfaces and inappropriate use of biocides can result in the survival of microorganisms such as bacteria and viruses on inanimate surfaces, often contributing to the transmission of infectious agents. Biocidal disinfectants employ varying modes of action to kill microorganisms, ranging from oxidization to solubilizing lipids. This review considers the main biocides used within healthcare and industry environments and highlights their modes of action, efficacy and relevance to disinfection of pathogenic bacteria. This information is vital for rational use and development of biocides in an era where microorganisms are becoming resistant to chemical antimicrobial agents.
Keywords	biocides ; bacteria ; antibiotic ; antimicrobial ; disinfection ; surfaces ; Organic chemistry ; QD241-441
Language	English
Publishing date	2021-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies.

Jones, Christopher M / Diethei, Daniel / Schöning, Johannes / Shrestha, Rehana / Jahnel, Tina / Schüz, Benjamin

Journal of medical Internet research

2023 Volume 25, Page(s) e45583

Abstract: Background: Health-related misinformation on social media is a key challenge to effective and timely public health responses. Existing mitigation measures include flagging misinformation or providing links to correct information, but they have not yet ... ...

Abstract	Background: Health-related misinformation on social media is a key challenge to effective and timely public health responses. Existing mitigation measures include flagging misinformation or providing links to correct information, but they have not yet targeted social processes. Current approaches focus on increasing scrutiny, providing corrections to misinformation (debunking), or alerting users prospectively about future misinformation (prebunking and inoculation). Here, we provide a test of a complementary strategy that focuses on the social processes inherent in social media use, in particular, social reinforcement, social identity, and injunctive norms. Objective: This study aimed to examine whether providing balanced social reference cues (ie, cues that provide information on users sharing and, more importantly, not sharing specific content) in addition to flagging COVID-19-related misinformation leads to reductions in sharing behavior and improvement in overall sharing quality. Methods: A total of 3 field experiments were conducted on Twitter's native social media feed (via a newly developed browser extension). Participants' feed was augmented to include misleading and control information, resulting in 4 groups: no-information control, Twitter's own misinformation warning (misinformation flag), social cue only, and combined misinformation flag and social cue. We tracked the content shared or liked by participants. Participants were provided with social information by referencing either their personal network on Twitter or all Twitter users. Results: A total of 1424 Twitter users participated in 3 studies (n=824, n=322, and n=278). Across all 3 studies, we found that social cues that reference users' personal network combined with a misinformation flag reduced the sharing of misleading but not control information and improved overall sharing quality. We show that this improvement could be driven by a change in injunctive social norms (study 2) but not social identity (study 3). Conclusions: Social reference cues combined with misinformation flags can significantly and meaningfully reduce the amount of COVID-19-related misinformation shared and improve overall sharing quality. They are a feasible and scalable way to effectively curb the sharing of COVID-19-related misinformation on social media.
MeSH term(s)	Humans ; Cues ; Social Media ; COVID-19 ; Emotions ; Communication
Language	English
Publishing date	2023-08-24
Publishing country	Canada
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1438-8871
ISSN (online)	1438-8871
ISSN	1438-8871
DOI	10.2196/45583
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Article ; Online: Explaining predictors of discharge destination assessed along the patients' acute stroke journey.

Lensky, Artem / Lueck, Christian / Suominen, Hanna / Jones, Brett / Vlieger, Robin / Ahluwalia, Tina

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association

2023 Volume 33, Issue 2, Page(s) 107514

Abstract: Introduction: Accurate prediction of outcome destination at an early stage would help manage patients presenting with stroke. This study assessed the predictive ability of three machine learning (ML) algorithms to predict outcomes at four different ... ...

Abstract	Introduction: Accurate prediction of outcome destination at an early stage would help manage patients presenting with stroke. This study assessed the predictive ability of three machine learning (ML) algorithms to predict outcomes at four different stages as well as compared the predictive power of stroke scores. Methods: Patients presenting with acute stroke to the Canberra Hospital between 2015 and 2019 were selected retrospectively. 16 potential predictors and one target variable (discharge destination) were obtained from the notes. k-Nearest Neighbour (kNN) and two ensemble-based classification algorithms (Adaptive Boosting and Bootstrap Aggregation) were employed to predict outcomes. Predictive accuracy was assessed at each of the four stages using both overall and per-class accuracy. The contribution of each variable to the prediction outcome was evaluated by the ensemble-based algorithm and using the Relief feature selection algorithm. Various combinations of stroke scores were tested using the aforementioned models. Results: Of the three ML models, Adaptive Boosting demonstrated the highest accuracy (90%) at Stage 4 in predicting death while the highest overall accuracy (81.7%) was achieved by kNN (k=2/City-block distance). Feature importance analysis has shown that the most important features are the 24-hour Scandinavian Stroke Scale (SSS) and 24-hour National Institutes of Health Stroke Scale (NIHSS) scores, dyslipidaemia, hypertension and premorbid mRS score. For the initial and 24-hour scores, there was a higher correlation (0.93) between SSS scores than for NIHSS scores (0.81). Reducing the overall four scores to InitSSS/24hrNIHSS increased accuracy to 95% in predicting death (Adaptive Boosting) and overall accuracy to 85.4% (kNN). Accuracies at Stage 2 (pre-treatment, 11 predictors) were not far behind those at Stage 4. Conclusion: Our findings suggest that even in the early stages of management, a clinically useful prediction regarding discharge destination can be made. Adaptive Boosting might be the best ML model, especially when it comes to predicting death. The predictors' importance analysis also showed that dyslipidemia and hypertension contributed to the discharge outcome even more than expected. Further, surprisingly using mixed score systems might also lead to higher prediction accuracies.
MeSH term(s)	Humans ; Retrospective Studies ; Patient Discharge ; Stroke/diagnosis ; Stroke/therapy ; Cluster Analysis ; Hypertension/diagnosis
Language	English
Publishing date	2023-12-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	1131675-5
ISSN	1532-8511 ; 1052-3057
ISSN (online)	1532-8511
ISSN	1052-3057
DOI	10.1016/j.jstrokecerebrovasdis.2023.107514
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Zs.A 3519: Show issues

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