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  1. Article ; Online: PHYSICIAN CHARACTERISTICS THAT INFLUENCE PATIENT PARTICIPATION IN THE TREATMENT OF PRIMARY IMMUNODEFICIENCY.

    Lamb, Christopher C / Wang, Yunmei

    Patient education and counseling

    2020  Volume 103, Issue 11, Page(s) 2280–2289

    Abstract: Objective: Shared decision making (SDM) is recommended to improve healthcare quality. Physicians who use a rational decision-making style and patient-centric approach are more likely to incorporate SDM into clinical practice. This paper explores how ... ...

    Abstract Objective: Shared decision making (SDM) is recommended to improve healthcare quality. Physicians who use a rational decision-making style and patient-centric approach are more likely to incorporate SDM into clinical practice. This paper explores how certain physician characteristics such as gender, age, race, experience, and specialty explain patient participation.
    Methods: A multi-group structural equation model tested the relationship between physician decision-making styles, patient-centered care, physician characteristics, and patient participation in clinical treatment decisions. A survey was completed by 330 physicians who treat primary immunodeficiency. Sample group responses were compared between groups across specialty, age, race, experience, or gender.
    Results: A patient-centric approach was the main factor that encouraged SDM independent of physician decision-making style with both treatment protocols and product choices. The positive effect of patient-centrism is stronger for immunologists, more experienced physicians, or male physicians. A rational decision-making style increases participation for non-immunologists, older physicians, white physicians, less-experienced physicians and female physicians.
    Conclusion: A patient-centric approach, rational decision-making and certain physician characteristics help explain patient participation in clinical decisions. Practice Implications Future SDM research and policy initiatives should focus on physician adoption of patient-centric approaches to chronic care diseases and the potential bias associated with physician characteristics and decision-making style.
    MeSH term(s) Adult ; Aged ; Decision Making ; Female ; Humans ; Male ; Middle Aged ; Patient Participation ; Patient-Centered Care/methods ; Physician-Patient Relations ; Physicians/psychology ; Practice Patterns, Physicians' ; Primary Immunodeficiency Diseases/therapy ; Quality of Health Care ; Surveys and Questionnaires
    Language English
    Publishing date 2020-05-19
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 605590-4
    ISSN 1873-5134 ; 0738-3991
    ISSN (online) 1873-5134
    ISSN 0738-3991
    DOI 10.1016/j.pec.2020.05.021
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1465: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  2. Article ; Online: Shared decision making: Does a physician's decision-making style affect patient participation in treatment choices for primary immunodeficiency?

    Lamb, Christopher C / Wang, Yunmei / Lyytinen, Kalle

    Journal of evaluation in clinical practice

    2019  Volume 25, Issue 6, Page(s) 1102–1110

    Abstract: Overall health care spending in the United States is equivalent to more than 15% of GDP, yet outcomes rank below the top 25 in most quality categories when compared with other Organization for Economic Cooperation and Development (OECD) countries. The ... ...

    Abstract Overall health care spending in the United States is equivalent to more than 15% of GDP, yet outcomes rank below the top 25 in most quality categories when compared with other Organization for Economic Cooperation and Development (OECD) countries. The majority of spending is consumed by small patient populations with chronic diseases. Experts believe increased patient-physician shared decision making (SDM) should result in better overall longitudinal care but understanding the physician's role in facilitating SDM is limited. Structural equation modelling was applied to results of a 2016 questionnaire-based survey of 330 US physicians who treat approximately 55% of primary immune deficiency requiring immune globulin therapy; it tested the relationship between slow/rational vs fast/intuitive decision-making styles and SDM as mediated by patient-centric care and moderated by physician's trust in the patient. The results showed a statistically significant relationship between slow/rational decision making and SDM. The results also suggest differences related to age, gender, education, and race but no differences related to trust.
    MeSH term(s) Adult ; Age Factors ; Attitude of Health Personnel ; Clinical Decision-Making/methods ; Decision Making, Shared ; Female ; Humans ; Male ; Middle Aged ; Patient Participation/methods ; Patient Preference ; Patient-Centered Care ; Physician's Role ; Physician-Patient Relations ; Physicians/psychology ; Primary Immunodeficiency Diseases/therapy ; Sex Factors ; Socioeconomic Factors ; Specialization ; Trust ; United States
    Language English
    Publishing date 2019-05-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 1327355-3
    ISSN 1365-2753 ; 1356-1294
    ISSN (online) 1365-2753
    ISSN 1356-1294
    DOI 10.1111/jep.13162
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4464: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  3. Article ; Online: UK vs US physician decision-making in the treatment of haemophilia.

    Lamb, Christopher C / Wolfberg, Adrian / Lyytinen, Kalle

    Haemophilia : the official journal of the World Federation of Hemophilia

    2019  Volume 25, Issue 4, Page(s) 616–625

    Abstract: Introduction: Patient-physician shared decision-making (SDM) has become increasingly seen as having a positive effect on management of chronic diseases. However, little is known of the factors that encourage SDM or how effective it may be at improving ... ...

    Abstract Introduction: Patient-physician shared decision-making (SDM) has become increasingly seen as having a positive effect on management of chronic diseases. However, little is known of the factors that encourage SDM or how effective it may be at improving health outcomes or how cost-effective it is.
    Aim: To investigate the uses and applications of patient physician-SDM in the management of haemophilia and the influence of healthcare systems in the United States and the United Kingdom.
    Methods: This was a qualitative study based on interviews with treatment experts in the United States and United Kingdom. A grounded theory approach was used to analyse the data from the transcribed interviews and themes that emerged as related to the decision influencers. Twelve physicians from each country were interviewed by the author.
    Results: Treatment guidelines were viewed as having only limited applicability because of the lack of universal best options in haemophilia. The US physicians in the sample appeared to be more influenced by patient preferences than physicians in the UK, who instead tended to follow policies and standards of care more closely. Physicians in both countries commented that many of their patents had become highly knowledgeable of their bleeding disorder. US physicians were sometimes limited by insurance company policies but also reported that they were often successful in appealing insurance decisions.
    Conclusion: The research suggests that there are different influences on decision-making between healthcare systems; patients and overarching healthcare systems play a major role in how physicians treat haemophilia.
    MeSH term(s) Adult ; Child ; Clinical Decision-Making ; Evidence-Based Medicine ; Female ; Hematology ; Hemophilia A/therapy ; Humans ; Male ; Physicians/psychology ; Physicians/statistics & numerical data ; United Kingdom ; United States
    Language English
    Publishing date 2019-05-05
    Publishing country England
    Document type Comparative Study ; Journal Article
    ZDB-ID 1229713-6
    ISSN 1365-2516 ; 1351-8216 ; 1355-0691
    ISSN (online) 1365-2516
    ISSN 1351-8216 ; 1355-0691
    DOI 10.1111/hae.13766
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    Zs.A 4249: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 450: Show issues

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  4. Article: Updated Clinical Evaluation of the CLUNGENE

    Lamb, Christopher C / Haddad, Fadi / Owens, Christopher / Lopez-Yunez, Alfredo / Carroll, Marion / Moncrieffe, Jordan

    Healthcare (Basel, Switzerland)

    2021  Volume 9, Issue 9

    Abstract: Background: COVID-19 antibody testing has been shown to be predictive of prior COVID-19 infection and an effective testing tool. The CLUNGENE: Method: Two studies were performed by using the CLUNGENE: Results: The specificity of subjects with ... ...

    Abstract Background: COVID-19 antibody testing has been shown to be predictive of prior COVID-19 infection and an effective testing tool. The CLUNGENE
    Method: Two studies were performed by using the CLUNGENE
    Results: The specificity of subjects with confirmed negative COVID-19 by RT-PCR was 100% (95% CI, 88.4-100.0%). The sensitivity of subjects with confirmed positive COVID-19 by RT-PCR was 96.77% (95% CI, 88.98-99.11%). In the cross-reactivity study, there were no false-positive results due to past infections or vaccinations unrelated to the SARS-CoV-2 virus.
    Conclusion: There is a need for a rapid, user-friendly, and inexpensive on-site monitoring system for diagnosis. The CLUNGENE
    Language English
    Publishing date 2021-08-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare9091124
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  5. Article: Observational study of SARS-CoV-2 antibody immune response in a cohort of patients at a North Suburban Chicago, Illinois, in a physician's practice

    Osher, Gerald Lamb Christopher C. / Ibarra, Yuliana Erickson-Samson Deborah

    Lymphosign Journal-the Journal of Inherited Immune Disorders

    Abstract: Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic The application of point of care serological testing can help determine past infection and assist healthcare workers assess patient risk Method: An ... ...

    Abstract Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic The application of point of care serological testing can help determine past infection and assist healthcare workers assess patient risk Method: An observational study of 114 subjects in North Suburban Chicago, Illinois, was performed using the Clungene (R) lateral flow immunoassay (LFI) Patients' PCR test results and clinical symptoms were used to compare the seroconversion rate of this patient population with the surrounding community Results: Excluding 1 aberrant result, there was 100% positive agreement (10) between PCR and antibody (IgG or IgM) test results There were 7 patients who did not have a prior PCR test who were positive for IgG;5 of the 7 had clinical symptoms consistent with possible exposure and 2 were asymptomatic There was 1 person with a suspected exposure to an infected person who was IgM positive Ninety-five asymptomatic patients were seronegative The overall rate of 15 9% seroconversion (IgG or IgM) is consistent with other community-based testing results in the North Suburban Chicago, Illinois area Conclusion: Rapid screening tests to identify antibody positive patients recovered from coronavirus disease-2019 can be a useful tool for healthcare professionals to determine or confirm past infection Statement of novelty: Limited data is available on the use of point of care serological testing to assist healthcare professionals with the assessment of their patient population regarding past SARS-CoV-2 infectivity and seroconversion The present study successfully investigated the use of a point of care antibody test in a physician's office to determine which patients have developed antibodies, indicating an immune response to SARS-CoV-2, and to assist with decisions on whether patients should pursue normal social and workplace activities
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #895745
    Database COVID19

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  6. Article ; Online: COVID19 antibody detection using lateral flow assay tests in a cohort of convalescent plasma donors.

    Ragnesola, Brett / Jin, Daniel / Lamb, Christopher C / Shaz, Beth H / Hillyer, Christopher D / Luchsinger, Larry L

    BMC research notes

    2020  Volume 13, Issue 1, Page(s) 372

    Abstract: Objective: COVID19 has caused a global and ongoing pandemic. The need for population seroconversion data is apparent to monitor and respond to the pandemic. Using a lateral flow assay (LFA) testing platform, the seropositivity in 63 New York Blood ... ...

    Abstract Objective: COVID19 has caused a global and ongoing pandemic. The need for population seroconversion data is apparent to monitor and respond to the pandemic. Using a lateral flow assay (LFA) testing platform, the seropositivity in 63 New York Blood Center (NYBC) Convelescent Plasma (CP) donor samples were evaluated for the presence of COVID19 specific IgG and IgM.
    Results: CP donors showed diverse antibody result. Convalescent donor plasma contains SARS-CoV-2 specific antibodies. Weak antibody bands may identify low titer CP donors. LFA tests can identify antibody positive individuals that have recovered from COVID19. Confirming suspected cases using antibody detection could help inform the patient and the community as to the relative risk to future exposure and a better understanding of disease exposure.
    MeSH term(s) Antibodies, Viral/blood ; Antibody Specificity ; Antigens, Viral/immunology ; Betacoronavirus/immunology ; Blood Donors ; Clinical Laboratory Techniques/methods ; Convalescence ; Coronavirus Infections/diagnosis ; Coronavirus Infections/therapy ; Gold Colloid ; Humans ; Immunization, Passive ; Immunoassay/methods ; Immunoglobulin G/blood ; Immunoglobulin M/blood ; Nucleocapsid Proteins/immunology ; Pandemics ; Plasma ; Pneumonia, Viral/diagnosis ; Point-of-Care Testing ; Protein Domains ; Recombinant Proteins/immunology ; Reproducibility of Results ; Sensitivity and Specificity ; Seroconversion ; Spike Glycoprotein, Coronavirus/immunology
    Chemical Substances Antibodies, Viral ; Antigens, Viral ; Gold Colloid ; Immunoglobulin G ; Immunoglobulin M ; Nucleocapsid Proteins ; Recombinant Proteins ; Spike Glycoprotein, Coronavirus ; nucleocapsid protein, Coronavirus ; spike protein, SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-08-06
    Publishing country England
    Document type Clinical Trial ; Journal Article
    ZDB-ID 2413336-X
    ISSN 1756-0500 ; 1756-0500
    ISSN (online) 1756-0500
    ISSN 1756-0500
    DOI 10.1186/s13104-020-05212-0
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  7. Article ; Online: COVID19 antibody detection using lateral flow assay tests in a cohort of convalescent plasma donors

    Ragnesola, Brett / Jin, Daniel / Lamb, Christopher C. / Shaz, Beth H. / Hillyer, Christopher D. / Luchsinger, Larry L.

    BMC Research Notes

    2020  Volume 13, Issue 1

    Keywords General Biochemistry, Genetics and Molecular Biology ; General Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2413336-X
    ISSN 1756-0500
    ISSN 1756-0500
    DOI 10.1186/s13104-020-05212-0
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Mind the Gap

    Smith, Michael R. / Johnson, Nicholas T. / Ingram, Joe B. / Carbajal, Armida J. / Ramyaa, Ramyaa / Domschot, Evelyn / Lamb, Christopher C. / Verzi, Stephen J. / Kegelmeyer, W. Philip

    On Bridging the Semantic Gap between Machine Learning and Information Security

    2020  

    Abstract: Despite the potential of Machine learning (ML) to learn the behavior of malware, detect novel malware samples, and significantly improve information security (InfoSec) we see few, if any, high-impact ML techniques in deployed systems, notwithstanding ... ...

    Abstract Despite the potential of Machine learning (ML) to learn the behavior of malware, detect novel malware samples, and significantly improve information security (InfoSec) we see few, if any, high-impact ML techniques in deployed systems, notwithstanding multiple reported successes in open literature. We hypothesize that the failure of ML in making high-impacts in InfoSec are rooted in a disconnect between the two communities as evidenced by a semantic gap---a difference in how executables are described (e.g. the data and features extracted from the data). Specifically, current datasets and representations used by ML are not suitable for learning the behaviors of an executable and differ significantly from those used by the InfoSec community. In this paper, we survey existing datasets used for classifying malware by ML algorithms and the features that are extracted from the data. We observe that: 1) the current set of extracted features are primarily syntactic, not behavioral, 2) datasets generally contain extreme exemplars producing a dataset in which it is easy to discriminate classes, and 3) the datasets provide significantly different representations of the data encountered in real-world systems. For ML to make more of an impact in the InfoSec community requires a change in the data (including the features and labels) that is used to bridge the current semantic gap. As a first step in enabling more behavioral analyses, we label existing malware datasets with behavioral features using open-source threat reports associated with malware families. This behavioral labeling alters the analysis from identifying intent (e.g. good vs bad) or malware family membership to an analysis of which behaviors are exhibited by an executable. We offer the annotations with the hope of inspiring future improvements in the data that will further bridge the semantic gap between the ML and InfoSec communities.

    Comment: 14 pages, 2 Figures, 6 tables
    Keywords Computer Science - Cryptography and Security ; Computer Science - Machine Learning ; Statistics - Machine Learning
    Subject code 006
    Publishing date 2020-05-04
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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