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3. Ventral Tegmental Dopamine Neurons Participate in Reward Identity Predictions

Author

Keiflin, Ronald, Pribut, Heather J, Shah, Nisha B, and Janak, Patricia H

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Neurosciences, Behavioral and Social Science, Mental health, Animals, Cues, Dopaminergic Neurons, Female, Learning, Male, Rats, Rats, Transgenic, Reinforcement, Psychology, Reward, Substantia Nigra, Ventral Tegmental Area, blocking, conditioning, dopamine, learning, model-based, model-free, optogenetics, reward-prediction error, substantia nigra, ventral tegmental area, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Dopamine (DA) neurons in the ventral tegmental area (VTA) and substantia nigra (SNc) encode reward prediction errors (RPEs) and are proposed to mediate error-driven learning. However, the learning strategy engaged by DA-RPEs remains controversial. RPEs might imbue predictive cues with pure value, independently of representations of their associated outcome. Alternatively, RPEs might promote learning about the sensory features (the identity) of the rewarding outcome. Here, we show that, although both VTA and SNc DA neuron activation reinforces instrumental responding, only VTA DA neuron activation during consumption of expected sucrose reward restores error-driven learning and promotes formation of a new cue→sucrose association. Critically, expression of VTA DA-dependent Pavlovian associations is abolished following sucrose devaluation, a signature of identity-based learning. These findings reveal that activation of VTA- or SNc-DA neurons engages largely dissociable learning processes with VTA-DA neurons capable of participating in outcome-specific predictive learning, and the role of SNc-DA neurons appears limited to reinforcement of instrumental responses.

Published
2019

5. Anal Cancer Screening in Men Who Have Sex With Men in the Multicenter AIDS Cohort Study

Author

D'Souza, Gypsyamber, Wentz, Alicia, Wiley, Dorothy, Shah, Nisha, Barrington, Francine, Darragh, Teresa M, Joste, Nancy, Plankey, Michael, Reddy, Susheel, Breen, Elizabeth C, Young, Stephen, and Cranston, Ross D

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Cancer, Clinical Research, Infectious Diseases, Sexual and Gender Minorities (SGM/LGBT*), Prevention, HIV/AIDS, 2.1 Biological and endogenous factors, Aetiology, Infection, Adult, Aged, Anus Neoplasms, CD4 Lymphocyte Count, CD4-Positive T-Lymphocytes, Carcinoma, Squamous Cell, Cohort Studies, Cytodiagnosis, Early Detection of Cancer, HIV Infections, Homosexuality, Male, Humans, Male, Middle Aged, Papillomavirus Infections, Prevalence, Proctoscopy, United States, anal cancer, HIV, MSM, HPV, screening, MACS, anal cytology, anal dysplasia, Public Health and Health Services, Virology, Clinical sciences, Epidemiology, Public health
Abstract

ObjectiveTo evaluate the prevalence of anal cytology (ACyt) abnormalities among HIV-infected and HIV-uninfected men who have sex with men (MSM).DesignMulticenter cohort study of 723 HIV-infected and 788 HIV-uninfected MSM with ACyt, with a second ACyt collected 2 years later. A referral for high-resolution anoscopy was suggested for abnormal ACyt.MethodsACyt samples were collected using a polyester swab and liquid cytology media and read in a central laboratory.ResultsPrevalence of any abnormal ACyt was 25% in HIV-uninfected MSM and increased to 38%, 41%, and 47% among HIV-infected MSM with current CD4 T-cell counts ≥500, 350-499, and

Published
2016

6. Anal Cancer Screening in Men Who Have Sex With Men in the Multicenter AIDS Cohort Study.

Author

DʼSouza, Gypsyamber, Wentz, Alicia, Wiley, Dorothy, Shah, Nisha, Barrington, Francine, Darragh, Teresa M, Joste, Nancy, Plankey, Michael, Reddy, Susheel, Breen, Elizabeth C, Young, Stephen, and Cranston, Ross D

Subjects
CD4-Positive T-Lymphocytes, Humans, Papillomavirus Infections, HIV Infections, Carcinoma, Squamous Cell, Anus Neoplasms, Proctoscopy, Cytodiagnosis, CD4 Lymphocyte Count, Prevalence, Cohort Studies, Homosexuality, Male, Adult, Aged, Middle Aged, United States, Male, Early Detection of Cancer, anal cancer, HIV, MSM, HPV, screening, MACS, anal cytology, anal dysplasia, Carcinoma, Squamous Cell, Homosexuality, Clinical Sciences, Public Health and Health Services, Virology
Abstract

ObjectiveTo evaluate the prevalence of anal cytology (ACyt) abnormalities among HIV-infected and HIV-uninfected men who have sex with men (MSM).DesignMulticenter cohort study of 723 HIV-infected and 788 HIV-uninfected MSM with ACyt, with a second ACyt collected 2 years later. A referral for high-resolution anoscopy was suggested for abnormal ACyt.MethodsACyt samples were collected using a polyester swab and liquid cytology media and read in a central laboratory.ResultsPrevalence of any abnormal ACyt was 25% in HIV-uninfected MSM and increased to 38%, 41%, and 47% among HIV-infected MSM with current CD4 T-cell counts ≥500, 350-499, and

Published
2016

11. Public Preferences for Digital Health Data Sharing: Discrete Choice Experiment Study in 12 European Countries

Author

Biasiotto, Roberta, primary, Viberg Johansson, Jennifer, additional, Alemu, Melaku Birhanu, additional, Romano, Virginia, additional, Bentzen, Heidi Beate, additional, Kaye, Jane, additional, Ancillotti, Mirko, additional, Blom, Johanna Maria Catharina, additional, Chassang, Gauthier, additional, Hallinan, Dara, additional, Jónsdóttir, Guðbjörg Andrea, additional, Monasterio Astobiza, Aníbal, additional, Rial-Sebbag, Emmanuelle, additional, Rodríguez-Arias, David, additional, Shah, Nisha, additional, Skovgaard, Lea, additional, Staunton, Ciara, additional, Tschigg, Katharina, additional, Veldwijk, Jorien, additional, and Mascalzoni, Deborah, additional

Published
2023
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13. Public Preferences for Digital Health Data Sharing : Discrete Choice Experiment Study in 12 European Countries.

Author

Biasiotto, Roberta, Viberg Johansson, Jennifer, Alemu, Melaku Birhanu, Romano, Virginia, Bentzen, Heidi Beate, Kaye, Jane, Ancillotti, Mirko, Blom, Johanna Maria Catharina, Chassang, Gauthier, Hallinan, Dara, Jónsdóttir, Guðbjörg Andrea, Monasterio Astobiza, Aníbal, Rial-Sebbag, Emmanuelle, Rodríguez-Arias, David, Shah, Nisha, Skovgaard, Lea, Staunton, Ciara, Tschigg, Katharina, Veldwijk, Jorien, Mascalzoni, Deborah, Biasiotto, Roberta, Viberg Johansson, Jennifer, Alemu, Melaku Birhanu, Romano, Virginia, Bentzen, Heidi Beate, Kaye, Jane, Ancillotti, Mirko, Blom, Johanna Maria Catharina, Chassang, Gauthier, Hallinan, Dara, Jónsdóttir, Guðbjörg Andrea, Monasterio Astobiza, Aníbal, Rial-Sebbag, Emmanuelle, Rodríguez-Arias, David, Shah, Nisha, Skovgaard, Lea, Staunton, Ciara, Tschigg, Katharina, Veldwijk, Jorien, and Mascalzoni, Deborah

Abstract

BACKGROUND: With new technologies, health data can be collected in a variety of different clinical, research, and public health contexts, and then can be used for a range of new purposes. Establishing the public's views about digital health data sharing is essential for policy makers to develop effective harmonization initiatives for digital health data governance at the European level. OBJECTIVE: This study investigated public preferences for digital health data sharing. METHODS: A discrete choice experiment survey was administered to a sample of European residents in 12 European countries (Austria, Denmark, France, Germany, Iceland, Ireland, Italy, the Netherlands, Norway, Spain, Sweden, and the United Kingdom) from August 2020 to August 2021. Respondents answered whether hypothetical situations of data sharing were acceptable for them. Each hypothetical scenario was defined by 5 attributes ("data collector," "data user," "reason for data use," "information on data sharing and consent," and "availability of review process"), which had 3 to 4 attribute levels each. A latent class model was run across the whole data set and separately for different European regions (Northern, Central, and Southern Europe). Attribute relative importance was calculated for each latent class's pooled and regional data sets. RESULTS: A total of 5015 completed surveys were analyzed. In general, the most important attribute for respondents was the availability of information and consent during health data sharing. In the latent class model, 4 classes of preference patterns were identified. While respondents in 2 classes strongly expressed their preferences for data sharing with opposing positions, respondents in the other 2 classes preferred not to share their data, but attribute levels of the situation could have had an impact on their preferences. Respondents generally found the following to be the most acceptable: a national authority or academic research project as the data user; bein, The last two authors contributed equally., Governance of health data in cyberspace

Published
2023
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14. Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models

Author

Allesøe, Rosa Lundbye, Lundgaard, Agnete Troen, Hernández Medina, Ricardo, Aguayo-Orozco, Alejandro, Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, Caroline, Mazzoni, Gianluca, Niu, Lili, Biel, Jorge Hernansanz, Brasas, Valentas, Webel, Henry, Benros, Michael Eriksen, Pedersen, Anders Gorm, Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, Andrea, Koivula, Robert, Mahajan, Anubha, Vinuela, Ana, Tajes, Juan Fernandez, Sharma, Sapna, Haid, Mark, Hong, Mun-Gwan, Musholt, Petra B., De Masi, Federico, Vogt, Josef, Pedersen, Helle Krogh, Gudmundsdottir, Valborg, Jones, Angus, Kennedy, Gwen, Bell, Jimmy, Thomas, E. Louise, Frost, Gary, Thomsen, Henrik, Hansen, Elizaveta, Hansen, Tue Haldor, Vestergaard, Henrik, Muilwijk, Mirthe, Blom, Marieke T., ‘t Hart, Leen M., Pattou, Francois, Raverdy, Violeta, Brage, Soren, Kokkola, Tarja, Heggie, Alison, McEvoy, Donna, Mourby, Miranda, Kaye, Jane, Hattersley, Andrew, McDonald, Timothy, Ridderstråle, Martin, Walker, Mark, Forgie, Ian, Giordano, Giuseppe N., Pavo, Imre, Ruetten, Hartmut, Pedersen, Oluf, Hansen, Torben, Dermitzakis, Emmanouil, Franks, Paul W., Schwenk, Jochen M., Adamski, Jerzy, McCarthy, Mark I., Pearson, Ewan, Banasik, Karina, Rasmussen, Simon, Brunak, Søren, Froguel, Philippe, Thomas, Cecilia Engel, Häussler, Ragna S., Beulens, Joline, Rutters, Femke, Nijpels, Giel, van Oort, Sabine, Groeneveld, Lenka, Elders, Petra, Giorgino, Toni, Rodriquez, Marianne, Nice, Rachel, Perry, Mandy, Bianzano, Susanna, Graefe-Mody, Ulrike, Hennige, Anita, Grempler, Rolf, Baum, Patrick, Stærfeldt, Hans Henrik, Shah, Nisha, Teare, Harriet, Ehrhardt, Beate, Tillner, Joachim, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinevich, Iryna, Cabrelli, Louise, Loftus, Heather, Bizzotto, Roberto, Tura, Andrea, Dekkers, Koen, Allesøe, Rosa Lundbye, Lundgaard, Agnete Troen, Hernández Medina, Ricardo, Aguayo-Orozco, Alejandro, Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, Caroline, Mazzoni, Gianluca, Niu, Lili, Biel, Jorge Hernansanz, Brasas, Valentas, Webel, Henry, Benros, Michael Eriksen, Pedersen, Anders Gorm, Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, Andrea, Koivula, Robert, Mahajan, Anubha, Vinuela, Ana, Tajes, Juan Fernandez, Sharma, Sapna, Haid, Mark, Hong, Mun-Gwan, Musholt, Petra B., De Masi, Federico, Vogt, Josef, Pedersen, Helle Krogh, Gudmundsdottir, Valborg, Jones, Angus, Kennedy, Gwen, Bell, Jimmy, Thomas, E. Louise, Frost, Gary, Thomsen, Henrik, Hansen, Elizaveta, Hansen, Tue Haldor, Vestergaard, Henrik, Muilwijk, Mirthe, Blom, Marieke T., ‘t Hart, Leen M., Pattou, Francois, Raverdy, Violeta, Brage, Soren, Kokkola, Tarja, Heggie, Alison, McEvoy, Donna, Mourby, Miranda, Kaye, Jane, Hattersley, Andrew, McDonald, Timothy, Ridderstråle, Martin, Walker, Mark, Forgie, Ian, Giordano, Giuseppe N., Pavo, Imre, Ruetten, Hartmut, Pedersen, Oluf, Hansen, Torben, Dermitzakis, Emmanouil, Franks, Paul W., Schwenk, Jochen M., Adamski, Jerzy, McCarthy, Mark I., Pearson, Ewan, Banasik, Karina, Rasmussen, Simon, Brunak, Søren, Froguel, Philippe, Thomas, Cecilia Engel, Häussler, Ragna S., Beulens, Joline, Rutters, Femke, Nijpels, Giel, van Oort, Sabine, Groeneveld, Lenka, Elders, Petra, Giorgino, Toni, Rodriquez, Marianne, Nice, Rachel, Perry, Mandy, Bianzano, Susanna, Graefe-Mody, Ulrike, Hennige, Anita, Grempler, Rolf, Baum, Patrick, Stærfeldt, Hans Henrik, Shah, Nisha, Teare, Harriet, Ehrhardt, Beate, Tillner, Joachim, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinevich, Iryna, Cabrelli, Louise, Loftus, Heather, Bizzotto, Roberto, Tura, Andrea, and Dekkers, Koen

Abstract

The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based framework, multi-omics variational autoencoders (MOVE), to integrate such data and applied it to a cohort of 789 people with newly diagnosed type 2 diabetes with deep multi-omics phenotyping from the DIRECT consortium. Using in silico perturbations, we identified drug–omics associations across the multi-modal datasets for the 20 most prevalent drugs given to people with type 2 diabetes with substantially higher sensitivity than univariate statistical tests. From these, we among others, identified novel associations between metformin and the gut microbiota as well as opposite molecular responses for the two statins, simvastatin and atorvastatin. We used the associations to quantify drug–drug similarities, assess the degree of polypharmacy and conclude that drug effects are distributed across the multi-omics modalities., Correction in DOI 10.1038/s41587-023-01805-9QC 20230626

Published
2023
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15. Public Preferences for Digital Health Data Sharing:Discrete Choice Experiment Study in 12 European Countries

Author

Biasiotto, Roberta, Viberg Johansson, Jennifer, Alemu, Melaku Birhanu, Romano, Virginia, Bentzen, Heidi Beate, Kaye, Jane, Ancillotti, Mirko, Blom, Johanna Maria Catharina, Chassang, Gauthier, Hallinan, Dara, Jónsdóttir, Guðbjörg Andrea, Monasterio Astobiza, Aníbal, Rial-Sebbag, Emmanuelle, Rodríguez-Arias, David, Shah, Nisha, Skovgaard, Lea, Staunton, Ciara, Tschigg, Katharina, Veldwijk, Jorien, Mascalzoni, Deborah, Biasiotto, Roberta, Viberg Johansson, Jennifer, Alemu, Melaku Birhanu, Romano, Virginia, Bentzen, Heidi Beate, Kaye, Jane, Ancillotti, Mirko, Blom, Johanna Maria Catharina, Chassang, Gauthier, Hallinan, Dara, Jónsdóttir, Guðbjörg Andrea, Monasterio Astobiza, Aníbal, Rial-Sebbag, Emmanuelle, Rodríguez-Arias, David, Shah, Nisha, Skovgaard, Lea, Staunton, Ciara, Tschigg, Katharina, Veldwijk, Jorien, and Mascalzoni, Deborah

Abstract

BACKGROUND: With new technologies, health data can be collected in a variety of different clinical, research, and public health contexts, and then can be used for a range of new purposes. Establishing the public's views about digital health data sharing is essential for policy makers to develop effective harmonization initiatives for digital health data governance at the European level. OBJECTIVE: This study investigated public preferences for digital health data sharing. METHODS:A discrete choice experiment survey was administered to a sample of European residents in 12 European countries (Austria, Denmark, France, Germany, Iceland, Ireland, Italy, the Netherlands, Norway, Spain, Sweden, and the United Kingdom) from August 2020 to August 2021. Respondents answered whether hypothetical situations of data sharing were acceptable for them. Each hypothetical scenario was defined by 5 attributes ("data collector," "data user," "reason for data use," "information on data sharing and consent," and "availability of review process"), which had 3 to 4 attribute levels each. A latent class model was run across the whole data set and separately for different European regions (Northern, Central, and Southern Europe). Attribute relative importance was calculated for each latent class's pooled and regional data sets. RESULTS: A total of 5015 completed surveys were analyzed. In general, the most important attribute for respondents was the availability of information and consent during health data sharing. In the latent class model, 4 classes of preference patterns were identified. While respondents in 2 classes strongly expressed their preferences for data sharing with opposing positions, respondents in the other 2 classes preferred not to share their data, but attribute levels of the situation could have had an impact on their preferences. Respondents generally found the following to be the most accep

Published
2023

16. Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

Author

Brown, Andrew A., Fernandez-Tajes, Juan J., Hong, Mun gwan, Brorsson, Caroline A., Koivula, Robert W., Davtian, David, Dupuis, Théo, Sartori, Ambra, Michalettou, Theodora Dafni, Forgie, Ian M., Adam, Jonathan, Allin, Kristine H., Caiazzo, Robert, Cederberg, Henna, De Masi, Federico, Elders, Petra J.M., Giordano, Giuseppe N., Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison J., Howald, Cédric, Jones, Angus G., Kokkola, Tarja, Laakso, Markku, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Mourby, Miranda, Musholt, Petra B., Nilsson, Birgitte, Pattou, Francois, Penet, Deborah, Raverdy, Violeta, Ridderstråle, Martin, Romano, Luciana, Rutters, Femke, Sharma, Sapna, Teare, Harriet, ‘t Hart, Leen, Tsirigos, Konstantinos D., Vangipurapu, Jagadish, Vestergaard, Henrik, Brunak, Søren, Franks, Paul W., Frost, Gary, Grallert, Harald, Jablonka, Bernd, McCarthy, Mark I., Pavo, Imre, Pedersen, Oluf, Ruetten, Hartmut, Walker, Mark, Adragni, Kofi, Allesøe, Rosa Lundbye L., Artati, Anna A., Arumugam, Manimozhiyan, Atabaki-Pasdar, Naeimeh, Baltauss, Tania, Banasik, Karina, Barnett, Anna L., Baum, Patrick, Bell, Jimmy D., Beulens, Joline W., Bianzano, Susanna B., Bizzotto, Roberto, Bonnefond, Amelie, Cabrelli, Louise, Dale, Matilda, Dawed, Adem Y., de Preville, Nathalie, Dekkers, Koen F., Deshmukh, Harshal A., Dings, Christiane, Donnelly, Louise, Dutta, Avirup, Ehrhardt, Beate, Engelbrechtsen, Line, Eriksen, Rebeca, Fan, Yong, Ferrer, Jorge, Fitipaldi, Hugo, Forman, Annemette, Fritsche, Andreas, Froguel, Philippe, Gassenhuber, Johann, Gough, Stephen, Graefe-Mody, Ulrike, Grempler, Rolf, Groeneveld, Lenka, Groop, Leif, Gudmundsdóttir, Valborg, Gupta, Ramneek, Hennige, Anita M.H., Hill, Anita V., Holl, Reinhard W., Hudson, Michelle, Jacobsen, Ulrik Plesner, Jennison, Christopher, Johansen, Joachim, Jonsson, Anna, Karaderi, Tugce, Kaye, Jane, Kennedy, Gwen, Klintenberg, Maria, Kuulasmaa, Teemu, Lehr, Thorsten, Loftus, Heather, Lundgaard, Agnete Troen T., Mazzoni, Gianluca, McRobert, Nicky, McVittie, Ian, Nice, Rachel, Nicolay, Claudia, Nijpels, Giel, Palmer, Colin N., Pedersen, Helle K., Perry, Mandy H., Pomares-Millan, Hugo, Prehn, Cornelia P., Ramisch, Anna, Rasmussen, Simon, Robertson, Neil, Rodriquez, Marianne, Sackett, Peter, Scherer, Nina, Shah, Nisha, Sihinevich, Iryna, Slieker, Roderick C., Sondertoft, Nadja B., Steckel-Hamann, Birgit, Thomas, Melissa K., Thomas, Cecilia Engel E., Thomas, Elizabeth Louise L., Thorand, Barbara, Thorne, Claire E., Tillner, Joachim, Tura, Andrea, Uhlen, Mathias, van Leeuwen, Nienke, van Oort, Sabine, Verkindt, Helene, Vogt, Josef, Wad Sackett, Peter W., Wesolowska-Andersen, Agata, Whitcher, Brandon, White, Margaret W., Adamski, Jerzy, Schwenk, Jochen M., Pearson, Ewan R., Dermitzakis, Emmanouil T., Viñuela, Ana, Brown, Andrew A., Fernandez-Tajes, Juan J., Hong, Mun gwan, Brorsson, Caroline A., Koivula, Robert W., Davtian, David, Dupuis, Théo, Sartori, Ambra, Michalettou, Theodora Dafni, Forgie, Ian M., Adam, Jonathan, Allin, Kristine H., Caiazzo, Robert, Cederberg, Henna, De Masi, Federico, Elders, Petra J.M., Giordano, Giuseppe N., Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison J., Howald, Cédric, Jones, Angus G., Kokkola, Tarja, Laakso, Markku, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Mourby, Miranda, Musholt, Petra B., Nilsson, Birgitte, Pattou, Francois, Penet, Deborah, Raverdy, Violeta, Ridderstråle, Martin, Romano, Luciana, Rutters, Femke, Sharma, Sapna, Teare, Harriet, ‘t Hart, Leen, Tsirigos, Konstantinos D., Vangipurapu, Jagadish, Vestergaard, Henrik, Brunak, Søren, Franks, Paul W., Frost, Gary, Grallert, Harald, Jablonka, Bernd, McCarthy, Mark I., Pavo, Imre, Pedersen, Oluf, Ruetten, Hartmut, Walker, Mark, Adragni, Kofi, Allesøe, Rosa Lundbye L., Artati, Anna A., Arumugam, Manimozhiyan, Atabaki-Pasdar, Naeimeh, Baltauss, Tania, Banasik, Karina, Barnett, Anna L., Baum, Patrick, Bell, Jimmy D., Beulens, Joline W., Bianzano, Susanna B., Bizzotto, Roberto, Bonnefond, Amelie, Cabrelli, Louise, Dale, Matilda, Dawed, Adem Y., de Preville, Nathalie, Dekkers, Koen F., Deshmukh, Harshal A., Dings, Christiane, Donnelly, Louise, Dutta, Avirup, Ehrhardt, Beate, Engelbrechtsen, Line, Eriksen, Rebeca, Fan, Yong, Ferrer, Jorge, Fitipaldi, Hugo, Forman, Annemette, Fritsche, Andreas, Froguel, Philippe, Gassenhuber, Johann, Gough, Stephen, Graefe-Mody, Ulrike, Grempler, Rolf, Groeneveld, Lenka, Groop, Leif, Gudmundsdóttir, Valborg, Gupta, Ramneek, Hennige, Anita M.H., Hill, Anita V., Holl, Reinhard W., Hudson, Michelle, Jacobsen, Ulrik Plesner, Jennison, Christopher, Johansen, Joachim, Jonsson, Anna, Karaderi, Tugce, Kaye, Jane, Kennedy, Gwen, Klintenberg, Maria, Kuulasmaa, Teemu, Lehr, Thorsten, Loftus, Heather, Lundgaard, Agnete Troen T., Mazzoni, Gianluca, McRobert, Nicky, McVittie, Ian, Nice, Rachel, Nicolay, Claudia, Nijpels, Giel, Palmer, Colin N., Pedersen, Helle K., Perry, Mandy H., Pomares-Millan, Hugo, Prehn, Cornelia P., Ramisch, Anna, Rasmussen, Simon, Robertson, Neil, Rodriquez, Marianne, Sackett, Peter, Scherer, Nina, Shah, Nisha, Sihinevich, Iryna, Slieker, Roderick C., Sondertoft, Nadja B., Steckel-Hamann, Birgit, Thomas, Melissa K., Thomas, Cecilia Engel E., Thomas, Elizabeth Louise L., Thorand, Barbara, Thorne, Claire E., Tillner, Joachim, Tura, Andrea, Uhlen, Mathias, van Leeuwen, Nienke, van Oort, Sabine, Verkindt, Helene, Vogt, Josef, Wad Sackett, Peter W., Wesolowska-Andersen, Agata, Whitcher, Brandon, White, Margaret W., Adamski, Jerzy, Schwenk, Jochen M., Pearson, Ewan R., Dermitzakis, Emmanouil T., and Viñuela, Ana

Abstract

We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue.

Published
2023

18. Multicenter Study of Non-adherence to Self-Injectable Biologic Therapy in Patients with IBD: Risk Factors and Outcomes

Author

George, Lauren A., primary, Causey, Erin, additional, Shah, Nisha B., additional, Slaughter, James C., additional, Jerabek, Jonah, additional, Zuckerman, Autumn D., additional, Chhen, Susan, additional, Scoville, Elizabeth, additional, Dalal, Robin, additional, Beaulieu, Dawn B., additional, Pabla, Baldeep, additional, Schwartz, David A., additional, Cross, Raymond K., additional, Vaughn, Byron P., additional, and Horst, Sara, additional

Published
2023
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23. Veteran Adherence to Oral Versus Injectable Alcohol Use Disorder Medication Treatment

Author

Dorflinger, Charles, Carey, Heather, Roche, Jennifer, Burant, Christopher, LeHew, Colleen, Stewart, Hayden, Mitchell, Brian, Ayanga, Daniel, Walder, Annette, Cooler, Jordan, Wu, Shuwen, Frey, Theresa, Wenthur, Cody, Burk, Bradley, Ward, Alex, Clark, Brooke, Leung, Jonathan G, Kutzke, Jade, May, Heather P, Maehler, Colin, Kummer, Bethany, Hamner, Jennifer, Ariefdjohan, Merlin, Stutzman, Danielle L, Kicklighter, Jackson, Musco, Shaina, Singson, Grace Marielle, Pamintuan, Claire, Francisco, Janelle, Phan, Tam, Sevak, Rajkumar J, Rogan, Edward L, Kehoe, William A, Halliwell, Robert F, Kanter, Joel, Ryan, Holly, Patel, Krupa, Moukaddam, Nidal, Saunders, John, Fernandez, Luis, Shah, Asim, Wong, Jerry, Erowele, Goldina, Ruppelt, Sara, Tillery, Erika E, Baker, Joni, Loflin, Bobbi Jo, Gray, Emily, Conley, Giulia, Hembree, Amanda, Sterling, Jacyntha, Buige, Ashley N, Nguyen, Mimi, Harris, Suzanne C, Bhavsar, Nisha, Shah, Niti, Lee, Bona, Jeong, Seoyoung, Maroney, Megan E, Whalen, Eric D, Maloney, Rebecca M, Hagemeier, Nicholas E, Takamura, Kay, Rice, Amanda G, Furbish, Amelia B, Hebbard, Amy M, Ross, Clint, Cumbie, Holly, Hickey, J. Scott, Lalani, Falak, Mucha, Hannah, Saklad, Stephen R, Ma, Connie, Lee, Kelly, O’Donnell, Carolyn, Jackson, Sarah, Albee, Jennifer Nelson, Yapel, Ann, Nash, Cynthia, MacDonald, Danielle, King, Amelia, Schneiderhan, Mark, Hager, Keri, Bell Lynum, Karimah S, Nash, Abigail, Fu, Dong Jing, Ionescu, Dawn F, Sliwa, Jennifer Kern, Turkoz, Ibrahim, Dorson, Peter G, Canuso, Carla, Hsia, Stephanie, Nguyen, Julie, La, Amenda, Gruenberg, Katherine, MacDougall, Conan, Brockbank, Josh, Wong, Kara, Schultz, Erica, Pinchinat, Jessica, Thibeaux, Taylor M, McCants, Tamara, Lam, Jason, Diaz-Luna, Jose, Nguyen, Jennifer, Yokoyama, Melissa, Albiar, Olivia, Bradley, Bridget, Popish, Sarah J, Bounthavong, Mark, Lau, Marcos K, Wells, Daina L, Kay, Chad L, Harvey, Michael A, Himstreet, Julianne E, Christopher, Melissa L.D, Weeda, Erin R, McGraw, Daniel J, Gonzalez, Misty L, Pardo-Pfeiffer, Carlos, Rodeghiero, Abigail, Zhang, Lusi, Brown, Sarah Jane, Shan, Yuting, Lee, Adam M, Allen, Josiah D, Eum, Seenae, Bishop, Jeffrey R, Gonzalez, Rolando, Wahl, Kimberly, Naglich, Andrew, Ayson, Marl, Thomas, Kelan, Renfro, Mandy L, Loera, Lindsey J, Hill, Lucas G, Tirado, Carlos, Delerme, Dante, Dean, Taylor, Cullen, Marissa, Straley, Craig M, Carr, Chelsea N, Sun, Wendy, Alzouby, Hiba, Harris, Suzanne, Banker, Christopher M, Cook, Sarah F, Muir, Justin, Brodie, Daniel, Cremers, Serge, Bies, Robert R, Dzierba, Amy L, Moton, Robert, Saklad, Stephen, Ferris, Ryan E, Noble, Brie N, Hartung, Daniel M, Tjia, Jennifer, Furuno, Jon P, Ibrahim, Hajer, Duong, Dat, Malcolm, Benjamin, Gogineni, Hyma P, Zahn, Amy L, Alibeckoff, Chloe C, Connor, Sharon, Buranosky, Raquel, Livezey, Sabrina N, Daniell, Jessica, DeClercq, Josh, Choi, Leena, Zuckerman, Autumn, Shah, Nisha B, Kang, Ashley, Anksorus, Heidi, Troglin, Courtney G, Bouldin, J. Brooke, Schreiner, Shannon, McKinney, Mariah, Brown, Stacy D, Pond, Brooks B, Nguyen, Thu, Chin, Hyun Ji, Dambly, Nicolle, Augsten, Alberto, Themas, Samantha, Vicencio, Claudia, Horner, Caroline, Covert, Kelly, Lewis, Paul, Tharp, Jen, Sommi, Roger W, Bidollari, Ilda, Still, Daniel, Du, Yangchun, Yagoda, Sergey, Weiden, Peter J, Long, Katelyn, Vandiver, Emily, Johnson, Stephanie, Darazs, Brooks, Tillery, Erika, Silvia, Richard J, Lee, Kelly C, Bien, Ivy, Farahmand, Khodayar, Goldsmith, Hannah, Farrar, Mallory, Le, Hadley, Huynh, Quynh, Kim, Jane, McCausland, Kristen, Haider, Batool, White, Michelle K, O’Sullivan, Amy K, Rychlec, Kaitlin, Akerman, Sarah, Fratantonio, James, Saxon, Andrew, Thase, Michael E, Parikh, Sagar V, Maheshwari, Priya, Rothschild, Anthony J, Dunlop, Boadie W, DeBattista, Charles, Conway, Charles R, Forester, Brent P, Shelton, Richard C, Macaluso, Matthew, Brown, Krystal, Li, James, Jablonski, Michael R, Greden, John F, Gidal, Barry, Patsalos, Philip, Szaflarski, Jerzy, VanLandingham, Kevan, Critchley, David, Morrison, Gilmour, Weiss, Catherine, Meehan, Stine Rasmussen, Ouyang, John, Hobart, Mary, Rowe, William, Vanover, Kimberly E, Kane, John M, Satlin, Andrew, Durgam, Suresh, Davis, Robert E, Mates, Sharon, Correll, Christoph U, Tamminga, Carol, Rabon, Hannah, Smith, Jordan, Squires, Karrie, VanDaele, Madeline, Logan, Linda D, Zhang, Feng, DeSousa, Norberto J, Sallee, F. Randy, Lickrish, David, Incledon, Bev, Smith, Joseph L, Candon, Molly, Fadeyibi, Oluwatoyin, Connolly, K. Ryan, Lim, Suet, Neimark, Geoffrey, Mandell, David, Newcomer, John W, Silverman, Bernard, DiPetrillo, Lauren, Graham, Christine, Jiang, Ying, Simmons, Adam, Hopkinson, Craig, McDonnell, David, Kahn, Rene, King, Thomas R, Kando, Judith C, Pardo, Antonio, King, Thomas, Edwards, John B, Chen, Richard, Huo, Jason, Cutler, Andrew J, Fawver, Jay, Flanagan, Mindy, Smith, Thomas, Drouin, Michelle, Mirro, Michael, Yatham, Lakshmi N, Vieta, Eduard, McIntyre, Roger S, Jain, Rakesh, Earley, Willie R, Patel, Mehul, Brown, Lisa, Sehgal, Rahul, Yu, Ken, Al Habbab, Talal, Johnson, Holly, Dechairo, Bryan, Chen, Jack J, Singer, Carlos, Marder, Stephen R, Comella, Cynthia L, Shah, Chirag, Jimenez, Roland, Goodwin, Heather, Morrow, Gina, Tewksbury, Ashley, Waters, Kristin, Eggert, Robyn, Tallian, Kimberly, Sepulveda, Joe A, Rojas, Sarah, Sikand, Harminder, Sutera, Nathan, Iuppa, Courtney A, Nelson, Leigh Anne, Kriz, Carrie R, Burns, Nicole A, Lang, Shelby E, Elliott, Ellie S.R, Luong, Uyen, Elsobky, Teresa, Abelleira, Audrey, Awan, Sundus, Dume, Roberta, Dilich, Adam, Anderson, Mikaela, Park, Priscilla, Moehnke, Austin, Aebi, Cydreese, Feighner, Lydia, Vernon, Martein, Streit, Jessica, Kauer, Jill, Lemons, Amber, Diefenderfer, Lauren A, Moon, Joseph, Smith, Jordan O, Franck, Hugh A, Randle, C. Hope, Hedgepeth Kennedy, M. Lindsey, James, Shannon, Coplan, Benjamin, Ruekert, Laura, Puri, Shilpa, Yeleti, Ramya, Cathright, Sela, Coveart, Stephanie, Regen, Sloan, Stewart, Shannon, Stratton, Miranda, Haight, Robert, Hoeft, Dawn, Bishop, Danielle, De La Cruz, Austin, Aurelio, Mariellee, Prestenback, Autumn, Price, Paul L, Makuch, Christian X, Salisbury, Nicole M, Koch, Jessa, Palmer, Melissa C, Chace, Ashley, Price, Cristofer, Putney, Jessica, Khan, Fatima, Huntsman, Amanda, Hutcheson, Brooklyn, Hightower, Sharae, Ott, Carol A, Scott, Catherine, Balser, Amanda, Karas, Andrew, Hsu, Michael, Malin, Maureen, Robert, Sophie, Leung, Edwina, Mierzwa, Mark, Kay, Lehua, Bowling, Dalia, Allen, Sabrina, Weingartner, Melissa, Ventricelli, Daniel, Santa, Heather, Nowalk, Alexandra, Downs, George, Le, N, Mospan, C, Burton, Caitlin, Mathys, Monica, Gutierrez, Erika, Ali, Sarah, Chang, Joni, Holzum, Dorothy N, Griffith, June A, Morgan, Katherine T, Laguado, S. Andrea, Steavenson, Rosana, Mehvar, Mina, Bechtold, Carson L, Kim, Heesoo, Dopheide, Julie Ann, Anderson, Lindsey, Kleyn, Thomas, DiRenzo, Baely, Walroth, Todd, Adamczyk, Raechel, Kendrick, Jenna, Thomas, Christopher, Mailloux, Lindsay M, Haas, Matthew T, Larew, Janel M, Stohs, Matthew E, DeJongh, Beth M, Satow, Britney A, Titus-Lay, Erika, Clark, Suzanne, Dike, Dozie, Pinsonnault, John, Gamber, Joy, Roseberry, Samantha, Mitchell, Brian G, Nguyen, Mai, Willborn, Robert, Roche-Desilets, Jennifer, Dailey, Alison, Ignatowski, Michael, Routhieaux, Melanie, Kawsky, Jaclyn, Stratman, Jennifer, Corboy, Alexander, Norberte, Cherisse, Gross, Tonya, Daniel, Jeremy, Tran, Aaron N, Wary, Megan, Kostric, Anna, Schaller, Samantha, Shin, Yunjung, Maroney, Megan, Hampton, Chanese, Krieger, Kelly, Hartwig, Rachel, Thamawatanakul, Rani, Wilbur, Eileen, Shofner, Steven, Butler, Justin, Moody, Breanna, Davis, Elizabeth, Hofammann, Elizabeth, Liveoak, Katie, Mitchell, McKinley, Lebrecht, Morgan, Hawley, Joanne, Smigiel, Joe, Radtke, Michelle, Walkerly, Autumn, King, Morgan, Wakefield, Andrew, Downs, Mona, Hudson, Nancy, Burghart, Steven, Reynoldson, Jill, Booth, Macey, Ishino, Risa, Lee, Tammie, Wright, Melissa, Boggs, Angela, Kaur, Rajandeep, Patel, Parth, Smith, Thomas R, Theriault, Sarah, Okusaga, Olaoluwa, Reinstatler, Kristina, Hawk, David, Rush, Stephen, Vachuska, Michaela, Powell, Elizabeth, Lacro, Jonathan, Chehovich, Charisse, Demler, Tammie Lee, deRosas, Andrea, Trigoboff, Eileen, Taylor, Aminah, Singh, Divita, Burdge, Gary, Reynolds, Jamie, Kriz, Carrie, Burns, Nicole, Sommi, Roger, Yabs, Melanie, Sarpal, Deepak, Fabian, Tanya, Bartos, Lindsey, Tallman, Kristin, Johnson, Dara, Taylor, Daniel, Hogan, Brendon, Kwan, Peter, Bast, Aubree, Sanchez, Apolinar, Maglalang, Patricia D, Scheible, Mahli M, Skurat, McKenzie K, Jackson, Sarah K, Belknap, Jazmin N, Ostfeld, Larissa, Fahy, Megan, Nguyen, Tuyen, Bui, Hoa, Little, Meg M, Seifert, Randall, Maister, Ashley, McCarthy, Caitlin, Burger, Emily, Mullen, Sandy, Cusimano, Joseph, VandenBerg, Amy, Duquette, Meghan, Guttenberg, Viktoria, Matsunaga, Candace, White, Shelby, Richard, Andrea, Jones, Jessica, Morgan, Kaitlyn, Kelsey, Taylor, Sartin, Carrie J, Rickert, Leah, Ferrill, Laine, Vallabh, Anuja, Jhawar, Archana, Barrett, Monica, Ward, Sarah, Colvard, Michelle, Phan, Joann, Preinitz, Jennifer, Ellis, Marcus, Gibu, Matthew, Kivlehan, Audrey, Chiulli, Dana, Rhodes, Kirby, Brewer, T. Amber, Richard, Michelle, Kirwan, Brigit, Flowers, Gary, Albritton, Melinda, Sutton, Caroline M, McEachern, Sydney, Miskle, Benjamin, Barr, Rachel, Thomas, Chris, Yang, Waverly, Vogt, Caitlin, Charles, Amanda, Mathews, Alisha, Bhandari, Deepali, Olsen, Emily, Garling, Ashley, Liszka, Jessica, Goodman, Courtney S, Smith, Tammy, Barron, Ana, Williams, Andrew, Zuloaga, Andrea, Parra, Brianne, Miller, Joy, Blake, Jennifer, Toney, Gregory, Galeano, Kathleen, Morabito, Brianna, Smith, Sydney, Miller, Lindsey, Fleisch, Sheryl, Kim, Erika, Kurz, Troy, Peterson, Angela M, Gruca, Justin, McGuire, Michael, Stummer, Lauren, Yip, Agustin, Rodriguez-Villa, Fernando, Wilson, Jennifer, Sutton, Caroline, Owings, R. Laney, Herbst, Claire, Hosmer, Kane, Wulff-Burchfield, Elizabeth, Ramion, Shelby, Brown, Lauren, Shishko, Ilona, Allen, Sarah, Nichols, Taylor, Fawcett, Janet, Trent, Kelley N, Eatmon, Courtney V, Hershberger, Allie, Roads, Mary, Pittenger, Amy L, Dadebo, Victoria, Tomko, John R, Simeone, Danielle, Sherwood, Devon A, Morgan, Katherine, White, C. Whitney, Holzum, Dorothy, Adetunji, Oluwaseyi, Blalock, Meredith, Snyder, Sabrina Domicoli, Kneebusch, Jamie, Mitchell, Melissa, Butala, Niyati, McHugh, Trisha, McGuire, J Michael, Moller, Karen, Melton, Brittany, Mitchell, Melissa M, Chaplin, Kyrsten, Canto, Samantha, Hang Vu, Thi Thuy, Rey, Jose A, Elmaoued, Amre Adel, Hopper, Jessica, Do, Annette, Leckband, Susan G, Abraham, Dana L, Haught, Emma J, Kobulinsky, Lawrence R, Fabian, Tanya J, Greenwood, Jessica, Rey, Jose, Chen, Emily, Farhadian, Sanaz, Smith, Austin M, Hopkins, Tiffany M, Deardorff, O. Greg, Jenne, Victoria, Wood, Joshua, Trout, Megan, Beck, Niels C, Pals, Hale, Frazier, Erica, Cavaliere, Vincent S, DiPaula, Bethany A, Glassman, Matthew, Wehring, Heidi J, Mackowick, Marie, Park, Jaeboon, Love, Raymond C, Kelly, Deanna L, Newbold, Mervan, Fioravanti, Nicole, Brown, Matthew J, Casey, Emily R, Nadkarni, Neha, Oh, Sarah, Patel, Romi, Riedley, Taylor, Mathis, Erin, Fadden, Patrick, Madden, Cristina, Schneiderhan, Mark E, Hintsala, Madelynn, Stenehjem, David, Rufus, Krystal M, Elhakim, Athar, Zolezzi, Monica, Elamin, Waad M, Homs, Shorouk, Qubaiah, Iman K, Mahmoud, Doaa A, Tawfik, Enge M, Fritz, Merideth, Alman, Brianne, Wartman, Carolanne, Clark, Megan, Ott, Carol, Rainey, Carly A, Mann, Elise, Modany, Madison, Schoettmer, Amanda, Buckley, Tiffany, Patwardhan, Vidisha, Boyle, Cynthia J, Gardner, Kristen N, Hamby, Kerri, Ngo, Nichol, Kim, Lila Q, Chen, Steven W, Mosley, Scott, Dadiomov, David, Goldstone, Lisa W, DellaVecchia, Matthew J, Cauffield, Jacintha, Grim, Hannah, Eschler, Anna, Aladeen, Traci, Blondell, Richard, Capote, Horacio, Rainka, Michelle, Lee, Ashley, Shelley, Maria, Stoncius, Kristina, Berry, Jonathan, Doroudgar, Shadi, Johnson, Kayla, Pouliot, Jonathon, Rarrick, Christine, Hebbard, Amy, Shikwana, Sara, Koller, Katherine, Reed, Ellen, Hoefling, Austin D, Miles, Talia M, Ansara, Elayne D, Titova, Viktoriya, Kandela, Dalea, Douglass, Amber R, Ehrhard, Kimberly, Stanley, Madison, Ganihong, Carissa, Liu, Mei T, Bohnenberger, Kristin, Zuber, Nicole, Plunkett, McKenzie, Axelrod, Chelsey, Lightfoot, Myaa, Moore, Miranda, Crouse, Ericka, Olazo, Muriel, Taormina, Stephanie, Reiss, Rebecca, Denno, Nora, Johnson, Braniesha, Wilkening, Gwendolyn Lucy, Andrews, Haley, Neumeister, Kristen, Murad, Muhammad Ubaidullah, Reid, Bailey, Franco, Ashley, Stutzman, Danielle, Jorgensen, Jennifer, Basit, Saadia, Jensen, Aimee, Nadal, Celeste N, Truong, Quynh-Nhu, Jameson, Melanie, Knox, Erin D, Bota, Robert G, Wieruszewski, Patrick M, and Leung, Sarah B

Subjects
CPNP Foundation Strategic Goals Award Finalists, Therapeutic Case Report Abstracts, Original Research Abstracts, Therapeutic Case Report Award Finalists, Article, Encore Presentation Abstracts, Work in Progress Abstracts, Neuropsychology and Physiological Psychology, Original Research Award Finalists, Research Trainee Award Finalists, Pharmacology (medical), Neurology (clinical), General Pharmacology, Toxicology and Pharmaceutics, Innovative Practices Abstracts, Innovative Practices Award Finalists, Scientific Posters
Published
2020
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26. Interdisciplinary Implementation of Mental Health Screenings and Treatment in a Human Immunodeficiency Virus (HIV) Clinic at a Federal Health Care Center

Author

Rarrick, Christine, Leshcorn, Hannah, Hebbard, Amy, Zhang, Lusi, Hill, S. Kristian, Rubin, Leah H, Reilly, James L, Ivleva, Elena I, Keedy, Sarah K, Alliey-Rodriguez, Ney, Lee, Adam M, Eum, Seenae, Tamminga, Carol A, Pearlson, Godfrey D, Clementz, Brett A, Gershon, Elliot S, Keshavan, Matcheri S, Keefe, Richard S.E, Sweeney, John A, Bishop, Jeffrey R, Mintz, Eileen, Dume, Roberta, Hieber, Robin, Molino, Suzanne, Casey, Tyler, Johnson, Corinne, Love, Donald, Putney, Jessica, Price, Cristofer, Swift, Robert, Shuman, Michael, Moss, Lori, Abutalib, Jabeen, Naglich, Andrew C, Brown, E. Sherwood, Adinoff, Bryon, Burghardt, Kyle J, Howlett, Bradley H, Dass, Sabrina E, Seyoum, Berhane, Yi, Zhengping, MacCauley, Abby, Kang, Ashley, Harris, Suzanne, Anksorus, Heidi, Savoca, Kali, Heaton, Amber, Ladutko, Jenni-Lyn, Patel, Shardool, Barrett, Katie, Bradley, Bridget, Dawson, Cole, Turner, R. Brigg, Benabe, Joselyn, Sykuta, Alyssa, Kassel, Lynn, Ulrich, Erin, Ellis, Marcus, Spiegel, Aila, Moreno, Jessica L, Wu, Cindy, Brown, Todd, Rettey, Suzanne S, Zick, Justine E, Thomas, Christopher J, Harvey, Marjorie, Charpentier, Frédéric, Cloutier, Magali, Teng, Winnie, Arvisais, Karolann, Giguére, Charles-Édouard, Pelletier, Jordan, Vincent, Philippe, Sommi, Roger, Wehr, Angela, Du, Yangchun, Faldu, Sejal, Weiden, Peter J, Boutain, Destiny L, Ayyad, Ahlam, Maestri, Thomas, Mosher, Sydney, Werremeyer, Amy, Strand, Mark, Eukel, Heidi, Skoy, Elizabeth, Diefenderfer, Lauren A, Iuppa, Courtney, Kriz, Carrie R, Nelson, Leigh Anne, Tiefenthaler, Casey, Mandyam, Chitra, Hefazi, Elika, Lee, Kelly, Makunts, Tigran, Atayee, Rabia S, Abagyan, Ruben, Lee, Kelly C, Kneebusch, Jamie, Farhadian, Sanaz, Lacro, Jonathan, Sanders, Elani, Kowluru, Renu A, Maroney, Megan, Wisniewski, Evelyn, Congdon, Ardsley, Tiene, Kathryn, Sun, Lei, Yagoda, Sergey, Yao, Baiyun, von Moltke, Lisa, Salwan, Aaron, Hagemeier, Nick, Brooks, Bill, Pack, Rob, Foster, Kelly, Arredondo, Maria D, Heo, Ji Haeng, Olotu, Busuyi, Hiu, Annie, Pondrom, Michael, Yuan, Carol, Kim, Dongmi, Leung, Edwina, Leach, Henry, Walsh, Kim, Khorassani, Farah, Hassani, Bessma, Ramchandrani, Dirshti, Barlow, Giulia, Kennedy, M. Lindsey Hedgepeth, Taber, Elizabeth, Stark, Kelsie, Mitchell, Brian G, Sarwar, Aliya, Aggarwal, Ruchi, Saklad, Stephen R, Sadrameli, Sarvnaz, Boyle, Julia, Vineyard, Jared, Oliphant, Catherine, Hsia, Stephanie, Yao, Emily, Brooks, Jordan, Gruenberg, Katherine, Finley, Patrick, Garcia, Lisa, Moton, Robert, Lawson, Kenneth A, Hill, Lucas G, Gibson, Gkeemia, Quinn, Gerard, Livezey, Sabrina, McCormick, Robert, Shah, Nisha B, Choi, Leena, DeClercq, Joshua, Zuckerman, Autumn D, Butala, Niyati, Mitchell, Melissa, Williams, Andrew, Cullen, Marissa, Dean, Taylor, Vellky, Ray, Fielding, Karen, Buckley, Tiffany, Kitchen, Christopher, Siegfried, Nathan A, Vyas, Gopal, Tefera, Eshetu, Chen, Shuo, DiPaula, Bethany, Kelly, Deanna L, Bouldin, J. Brooke, Perez, Emily, Schreiner, Shannon, Brown, Stacy D, Pond, Brooks B, Tobin, Eric, Chavez, Benjamin, Khaw, Chelsea, Argo, Tami, Dilich, Adam, Temelie, Andreea, Hoeft, Dawn, Kim, Grace Joy, Mendes, Margaret, Yoo, Soorim, Kim, Young, Gabion, Justine, Arce, Ileana, Bhavsar, Nisha, Casey, Emily, Maroney, Megan E, O'Donnell, Carolyn, Hager, Keri, Blue, Heather, Kosobuski, Lucas, Brearly, Ann, Northrop, E. F, Palombi, Laura, Kading, Margarette, Yapel, Ann, Albee, Jennifer Nelson, MacDonald, Danielle, Nash, Cynthia, Renier, Colleen, Dean, Katherine, Schneiderhan, Mark, Hua, Henry, Chen, Jack J, Herman, Barry K, King, Thomas R, Kando, Judith C, Laird, Lyle, Pardo, Antonio, Whitaker, Caitlyn, Cates, Marshall E, Cruthirds, Danielle L, Gorman, Greg S, Hostetler, Caroline, Earley, Willie R, Burgess, Maria Victoria, Khan, Barbara, Rekeda, Ludmyla, Suppes, Trisha, Tohen, Mauricio, Calabrese, Joseph A, Shipman, Denver, Galeano, Kathleen, Belton, Reeka, Parmentier, Brittany, Westphal, Erica S, Greger, Jessica, Wojcik, Rachael, Rainka, Michelle, Bates, Vernice, Gengo, Fran, Maas, Mark S, Moeller, Karen E, Melton, Brittany L, Faraone, Stephen V, Schachar, Russell J, Barkley, Russell A, Nullmeier, Rick, Sallee, F. Randy, Aladeen, Traci, Meaney, Jacqueline, Landolf, Kaitlin, Galdun, Patrick, Asbach, Natalie, Capote, Horacio, Harvey, Philip D, Goldman, Robert, Tocco, Michael, Deng, Ling, Cucchiaro, Josephine, Loebel, Antony, Meehan, Stine R, Zhang, Peter, Hobart, Mary, Weiss, Catherine, Chen, Jack, Singer, Carlos, Kane, John M, Farahmand, Khodayar, Burke, Joshua, Siegert, Scott, Pliszka, Steven R, Wilens, Timothy E, Bostrom, Samantha P, Arnold, Valerie K, Marraffino, Andrea, Cutler, Andrew J, López, Frank A, DeSousa, Norberto J, Incledon, Bev, Newcorn, Jeffrey H, Childress, Ann C, Owens, Mark S, Pikalov, Andrei, Madu, Chinwe, Aebi, Cydreese, Ehrhard, Kim, Kempf, Carly, Stoner, Steven C, Tillman, Frank, Greenberg, Joy, Liu, Ina, Khalid, Seher, McGuire, Nicolas, Harris, Suzanne C, Ahmed, Uzma, Cubley, Ashley, Lamp, Lindsay, Mican, Lisa, Pena, Kasey, Barner, Jamie, Baker, Ross A, Stahl, Stephen M, Mao, Yongcai, Dimitropoulos, Erica, Dickmann, Patricia, Patel, Charmi, Khoury, Antoine El, Huang, Ahong, Wang, Li, Baser, Onur, Joshi, Kruti, Maglalang, Patricia D, Rautiola, Davin, Cheryala, Narsihmulu, Nelson, Kathryn M, Georg, Gunda I, Fine, Jared M, Svitak, Aleta L, Faltesek, Katherine A, Hanson, Leah R, Mishra, Usha, Coles, Lisa D, Siegel, Ronald A, Cloyd, James C, Silberstein, Stephen, Stauffer, Virginia L, Day, Katie, Zhang, Qi, Lipsius, Sarah, Wilson, Maria-Carmen, Gengo, Francis, Robson, Matthew, Hourihane, Maurice, Wang, Shufang, Bangs, Mark E, Oakes, Tina M, Carter, Jeffrey N, Aurora, Sheena K, Piccuirro, Sarah R, Rendon, Judith, Goyal, Shelly, Reveles, Kelly R, Evoy, Kirk E, Wisniewski, Caitlin, Smith, Nicholas M, Amsler, Michelle, Gengo, Fran M, Wehring, Heidi J, Powell, Megan M, Sayer, MacKenzie A, Hackman, Ann L, Buchanan, Robert W, Nichols, Rebecca B, Adams, Heather A, Richardson, Charles M, McMahon, Robert P, Earl, Amber K, Sullivan, Kelli M, Luttrell, Sarah E, Dickerson, Faith B, Narang, Supriya, Koola, Maju M, RachBeisel, Jill A, McEvoy, Joseph P, Liu, Fang, Feldman, Stephanie M, Buckley, Peter F, Weiller, Emmanuelle, Robinson, Jennifer, Kim, Anne, Brand-Eubanks, Damianne, Johnson, Nancy, Mannelli, Paolo, Comer, Sandra, Alam, Danesh, Douaihy, Antoine, Nangia, Narinder, Akerman, Sarah, Zavod, Abigail, Silverman, Bernard, Sullivan, Maria A, Greden, John F, Parikh, Sagar V, Zandy, Shannon, Rothschild, Anthony J, Thase, Michael E, Dunlop, Boadie W, DeBattista, Charles, Conway, Charles R, Forester, Brent P, Mondimore, Francis M, Shelton, Richard C, Macaluso, Matthew, Li, James, Brown, Krystal, Gilbert, Alexa, Burns, Lindsey, Jablonski, Michael R, Dechairo, Bryan, Bell Lynum, Karimah S, Gogate, Jagadish, Kim, Edward, Barnes, Sarah J, Campbell, Abigayle R, Tillery, Erika, Ellis, Katie, Waguespack, Taylor, Anderson, David, Echeverri, Margarita, Calderon-Abbo, Jose, Wright, Sharnetria, Jhawar, Archana, Vallabh, Anuja, Abraham, Sindhu, Hong, Michael, Liu, Mei T, Liu, Jeremy, Porter, Heather, Johnston, Christine, Noel, Christopher, Le, Anh Dao V, Miskle, Benjamin A, Finegan, Amber, Iuppa, Courtney A, Lang, Shelby E, Elliott, Ellie S.R, Sommi, Roger W, Moon, Joseph, Powell, Elizabeth, Walkerly, Autumn, Neugebauer, Rachel, Paxos, Chrisovalantis, Nguyen, Tuyen, Marz, Karla, Schneiderhan, Mark E, Bickley, Mark, Weinstein, Sujin, Qureshi, Imran, Finn, Christina, Mierzwa, Mark, Kay, Lehua, Bowling, Dalia, Allen, Sabrina, Eppich, Christopher, May, Anthony, Handshaw, James, Perry, Nicole, Rice, Amanda, Duffy, Molly, Ross, Clint, Price, Paul L, Walser, Heather, Winterswyk, Andrea, Black, Paul, Wartman, Carolanne, Silvola, Rebecca, Huntsman, Amanda, Maegerlein, Emily, Ott, Carol, Scott, Catherine, Lombardi, Audrianna, Neal, Deon, Korkemaz, Michel, Lamoureux, Charlie Li, Rousseau, Marie-Frédérique, Spinelli, Caroline, Masson, Violaine, Labelle, Chloé, Lefebvre, Marie-Claude, Liszka, Jessica, Goodman, Courtney, Cox, Stephanie, Miller, Gina, Robinette, Camille, Burdge, Gary, Rey, Jose A, Harlow, Taylor R, Coplan, Benjamin M, Ruekert, Laura F, Daniel, Nicole M, Morgan, Katherine, Richard, Michelle, Schreiber, Nathan, Sexton, Megan, Smith, Thomas, Starr, Ryan, Leach, Molly, Elharar, Nicole, McGurran, Maren, Nelson, Jennifer, Dhumal, Trupti, Kulkarni, Aishwarya, Desai, Gauri, Kamal, Khalid M, Giannetti, Vincent, Covvey, Jordan R, Freyder, Paul J, Chira, Albert, Karow, Matt, Beckman, Ashley, Miller, Lindsey, Martin, Shedrick, Tallian, Kimberly, van Dyke, Jason, Nguyen, Victoria T, Sikand, Harminder, Dailey, Alison, Roche-Desilets, Jennifer, Laforest, Sharon, Hall, Colleen, Cobb, Ajarvis, Augsten, Alberto, Themas, Samantha, Katz, Randy, Bassan, Eric, Cousins, Simone, Rojas, Bertha, Vicencio, Claudia, McHugh, Trisha B, McGuire, J. Michael, Ficzere, Cathy, Kiningham, Kelley, Perednik, Melisa, Franck, Hugh, Haake, Elizabeth, Krieger, Kelly, De La Cruz, Austin, Kabbani, Racha, Pitman, Paige, Maestri, Thomas J, Jackson, Raven S, Obinyan, Trisha, Murray, Miranda, Dean, Taylor A, Joseph, Matthew P, Carr, Chelsea N, Kirisci, Levent, Fabian, Tanya J, Spitznogle, Brittany, Risbood, Vineeta, Chov, Tina K, Tran, Aaron N, Karas, Andrew, Uhlyar, Stepan, Polson, Raul, Matacic, Brandon, Peterson, Jeanne, Yates, Lauren, Fioravanti, Nicole, Brown, Matthew, Anderson, Joseph, Haight, Robert, Terry, Hannah, Frazier, Erica, Adler, Tamara, Romstadt, Nicole A, Bular, Jessica, Cherne, Amy, Costello, Mathew, Dorflinger, Charles, Dugan, Sara, Onyema, Ijeoma, Weldon, Eric, Lucido, Anthony, Moses, Danielle, Nofziger, Jill, Mullen, Sandra, Akerberg, Hannah, Lupu, Ana, Crabtree, Richard, Montgomery, Jamie, Harms, Jessica, Fabian, Tanya, Mackowick, Marie, Glassman, Matthew, Park, Jae, La Vega, Myriam Navarro-De, Burns, Nicole, Deardorff, O. Greg, Jenne, Victoria, Beck, Niels C, Eschler, Anna, Polli, Joseph Ryan, Ang, Gordon, Grzesiak, Karolina, Braun, Steven, Hogan, Brendon, Kwan, Peter, Rabon, Hannah, Squires, Karrie, McGuire, Michael, Zhen, Teresa, Clauson, Angela, Frame, Tracy, Thibodeau, Britni, Weaver, Jennifer, Flowers, Gary, Karst, Allison, Deap, Regina, Moreau, Sandy, Shanbhogue, Divya, Diduch, Michael, Gonzales, Samantha, Pinsonnault, John, Galop, Brittany, Talbert, Jeffrey, Johnson, Hannah, Feola, David, Jenkins, Meagan D, Goodman, Courtney S, Smith, Tammy J, Martindale, Sarah L, Rowland, Jared A, Taber, Katherine H, Mathew, Anupha, Domis, Natalie, Langlinais, Adrienne, Robert, Sophie, O'Connell, Megan, VandenBerg, Amy, Vaden, Megan, Tewksbury, Ashley, Ketz, Jeff, Davis, Ramona, Gagliardi, Joseph, Willner, Marc, Simari, Caroline, Reynoldson, Jill, Moeller, Karen, Boehm, Heidi, Shenkman, Lisa, Klass, Amanda, Ceman, Anthony, Hernandez, Gershom, Williams, Raeschell, Shishko, Ilona, Beam, Candace, Gill, Khushwinder, Banker, Kelly, Nelson, Cory, Johnson, Jarrett E, Mills, Nadeje, Crawford, Janeen, Jean, Carmela, King, Katherine F, Denio, David, Albritton, Melinda, Abudia, Jade L, Blalock, Meredith, Butler, Brooke, Pezick, Allison, Preinitz, Jennifer, Gibu, Matthew, Hong, Catherine S, MacCamy, Katie, Gross, Tonya, Haberman, Margaret, Bartel, Megan, Daniel, Jeremy, Wilson, Christopher, Toney, Gregory, Nawarskas, Ann, Hampton, Abigail, Haas, Matthew, Harms, Michelle, McAllister, Erin, Ang, Alexa, Phu, Vivia, Titus-Lay, Erika, Deng, Li Sha, Walker, Kelli, Capley, Chelsea, Butz, Amy, Simons, Katherine, Valentino, Natalie, Marsella, Angela A, Morgan, Joni, Rufus, Krystal M, Wahl, Kimberly, Gilliam, Holly, Smigiel, Joe, Radtke, Michelle, Leloux, Megan, Storsveen, Shelby, Allen, Nicholas D, Rakocevic, Daniela B, Leung, Jonathan G, Sinclair, Paige, Hirsch, Amy, Low, Mary Beth, Du, Vivian, Kawsky, Jaclyn, Kang, Connie, McCann, Thalia, Najafi, Ana, Yuan, Betsy, Mack, Latilia, Griffith, June, Lee, Susan, Ishikawa, Emily, Tran, Trang, Baker, Nathaniel, Cyr, Monica, Slubar, Stephen, Miller, Chris, Binns, Lindsey, Jarka, Courtney, Schmidt, Robert, Hopper, Jessica, Nichols, Taylor A, Park, Kyunghwa, Kang, Nina, Guenther-Gleason, Eric, Fukodome, Sandra, Lee, Melody, Chegini, Sepi, Parvinchiha, Payam, Wadhwa, Vandhana, Alipour, Azita, Khieu, Tiffany, Skene, Robert, Gabrielson, Stephen, Hernandez, Elvin A, Stutzman, Danielle, Kempa, Mollie, Domicoli, Sabrina, Hu, Annie, Thomas, Kelan, Halavonich, Lauren, McGraw, Dan, Mullinax, Kristen, Abinader, Benjamin, Mansour, Hader, Steele, James S, Reid, Tiffany, Lewis, Scott, Whann, Emily, Nguyen, Mai, Tyrrell, Andrew, Pratt, Rachael, Ritter, Mark, Gunadi, Stephen, McCoy, Julie, Moody, Breanna, Eatmon, Courtney, Pasciak, John, Clark, Jeffrey, Peterson, Angela, Tackett, Lisa, Hill, McKenzie, O'Laughlin, Jennifer, Warren, Peter, Rozea, Heather, Cupples, Nicole, Mehvar, Mina, Barnard, Caroline, Butler, Justin, Patton, Samantha, Helmboldt, Kristin, Blue, Lauren, Krichbaum, Michelle, Morcy, Kareem, Skelly, Megan K, Strom, Felicia, Hyatt, Judith, Collantes, Cyril Manuel C, Coric, Kathryne, Donat, Alisha D, Moore, Troy A, Tourtellotte, Rebecca L, Wonson, Erica, Maline, Josh, McQuillan, Amanda, Kozarian, Rob, Norberte, Cherisse, Case, Christina, Smith, Hilary, Nguyen, Annie, Binger, Katie J, Ansara, Elayne D, Miles, Talia M, Schulte, Samantha L, Chen, Pinhui, Mathys, Monica, Ford, Kendra, Code, Lydia, Noteboom, Alix, Reiter, Drake, Grady, Sarah, Kim, Lila Q, Park, Susie H, Beringer, Paul, Sciurba, Anne, Herring, Melanie, Dirvonas, Caitlin, Duong, Richard S, Nguyen, Howard K, Stump, Trevor, Liu, Yifei, Fear, Gregory L, Chiulli, Dana, Jenrette, Dorothy, Tillery, Erika E, Foushee, Jaime A, Rey, Jose, Rauwerdink, Kevin, Wong, Kara, Drogemuller, Lisa, McNutt, Sera, Waters, Kristin, Morrow, Gina, Mitchell, McKinley, Hofammann, Elizabeth, Liveoak, Katie, Elders, Ty, Miller, Karla, Baker, Staci, Heim, Megan, Small, Danielle, Frey, Theresa, Bystrak, Tamara, Boggs, Angela, Goldenshteyn, Fay, Dopheide, Julie, McKay, Lydia, Murphy, Mireille, Hamil, Mary Lou, Hamade, Fang-Tzu, Kosirog, Emily, Carpenter, Sierra, Foster, Jackie, Davis, Jennifer, Hansen, Jamie, Colvard, Michelle, Brabson, Jennifer, Shiplett, Lauryn, Dunton, Paige, Paskins, Austin, Williams, Andrew M, Kandela, Dalea, DeSantis, Victoria, Smigiel, Joseph, Piccuirro, Sarah, Olivares, Brian, Frescas, Brian, Birkel, Marlena, Garling, Ashley, Moore, Tera, Tran, Michael, Ourth, Heather, Groppi, Julie A, Quicci-Roberts, Kimberly, Morreale, Anthony, Nelson, Jordan, Jorgenson, Terri, McFarland, M. Shawn, Torrise, Virginia, Pals, Haley, Ng, ShuYing, Maloney, Rebecca, Melton, Sarah, Wang, Yuchen, Havard, Patty, Munjy, Luma, Bird, Ken, Zamora, Marisol, Dotson, Dale, Cardona, John, Butler, Nicole, Middleton, Matthew, Habibe, Michael, Prichard, Michael, Vang, Michael, Lasher, Marc, Goldgraben, Sara, Bishop, Brian, White, Jennifer, Scoffield, Mark, Rindalh, Kathi, Vohra, Rais, Dhillon, Sim, Hernandez, Evi, Gonzalez, Daniel, Hernandez, Crystal, Vue, Bee, Bacon, Opal, Goga, Joshana, Michaels, Annie, Zisselman, Marc, Depaolo, Antonio, Khushalani, Sunil, Walters, J. Ken, Poloway, Anita, Roca, Robert, Corapi, Jennifer, Cavano, Jeanette, Geier, Michelle, Fabrikant, Alla, Heanssler, Heather, Loveless, Colleen, Johnson, Kayla, Haffler, Zachary J, Wise, Caitlin M, Wright, Emily, Geminn, Wesley, Schlesinger, Erica, Ramel, Cassandra L, Cunningham, Julie L, Dierkhsing, Ross, Fekete, Kevin, Mann, Elise, Modany, Madison, Pucci, Geoff, Noel, Nicole, Scot, Catherine, Balsar, Amanda, Costa, Tianna, Zhang, Maria, Downs, Rohini, Rabi, M, Olsufka, W, Gavioli, E, Serebryakova, L, Palmer, Melissa C, Nguyen, Tram Anh H, Kaur, Amandeep, Letizio, Alicia, Roy, Sangjukta Sen, Doughty, Bennett, Lee, Jaekyu, Sayre, Thomas (T.J.), Gold, Jeffrey D, Lightfoot, Myaa, Koch, Jessa, Osorio, Carolina, Chehovich, Charisse, Leppien, Emily, Demler, Tammie Lee, Krause, Morgan, Brown, Ashley, Cusimano, Joseph, Martin, Christopher, Stark, Kelsie M, Yazdani, Javaidia B, McGrane, Ian, Salyers, Laura, Molinaro, Jason, Munjal, Robert, Johnson, Hannah E, Dotson, Jessica, Ellis, Carleton S, Hill, Kelly, Stevens, Debra, King, Thomas, and Hunt, Elizabeth

Subjects
CPNP Foundation Strategic Goals Award Finalists, Original Research Award Finalists, Research Trainee Award Finalists, Therapeutic Case Report Award Finalists, Innovative Practices Award Finalists, Scientific Posters
Published
2019

28. Governance mechanisms for sharing of health data: An approach towards selecting attributes for complex discrete choice experiment studies

Author

Viberg, Jennifer, Shah, Nisha, Haraldsdóttir, Eik, Bentzen, Heidi Beate, Coy, Sarah, Kaye, Jane, Mascalzoni, Deborah, Veldwijk, Jorien, Viberg, Jennifer, Shah, Nisha, Haraldsdóttir, Eik, Bentzen, Heidi Beate, Coy, Sarah, Kaye, Jane, Mascalzoni, Deborah, and Veldwijk, Jorien

Abstract

Background: Discrete Choice Experiment (DCE) is a well-established technique to elicit individual preferences, but it has rarely been used to elicit governance preferences for health data sharing. Objectives: The aim of this article was to describe the process of identifying attributes for a DCE study aiming to elicit preferences of citizens in Sweden, Iceland and the UK for governance mechanisms for digitally sharing different kinds of health data in different contexts. Methods: A three-step approach was utilised to inform the attribute and level selection: 1) Attribute identification, 2) Attribute development and 3) Attribute refinement. First, we developed an initial set of potential attributes from a literature review and a workshop with experts. To further develop attributes, focus group discussions with citizens (n = 13), ranking exercises among focus group participants (n = 48) and expert interviews (n = 18) were performed. Thereafter, attributes were refined using group discussion (n = 3) with experts as well as cognitive interviews with citizens (n = 11). Results: The results led to the selection of seven attributes for further development: 1) level of identification, 2) the purpose of data use, 3) type of information, 4) consent, 5) new data user, 6) collector and 7) the oversight of data sharing. Differences were found between countries regarding the order of top three attributes. The process outlined participants' conceptualisation of the chosen attributes, and what we learned for our attribute development phase. Conclusions: This study demonstrates a process for selection of attributes for a (multi-country) DCE involving three stages: Attribute identification, Attribute development and Attribute refinement. This study can contribute to improve the ethical aspects and good practice of this phase in DCE studies. Specifically, it can contribute to the development of governance mechanisms in the digital world, where people's health data are shared for multi

Published
2021
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29. Preferences of the Public for Sharing Health Data : Discrete Choice Experiment

Author

Viberg Johansson, Jennifer, Bentzen, Heidi Beate, Shah, Nisha, Haraldsdóttir, Eik, Jónsdóttir, Gudbjörg Andrea, Kaye, Jane, Mascalzoni, Deborah, Veldwijk, Jorien, Viberg Johansson, Jennifer, Bentzen, Heidi Beate, Shah, Nisha, Haraldsdóttir, Eik, Jónsdóttir, Gudbjörg Andrea, Kaye, Jane, Mascalzoni, Deborah, and Veldwijk, Jorien

Abstract

Background: Digital technological development in the last 20 years has led to significant growth in digital collection, use, and sharing of health data. To maintain public trust in the digital society and to enable acceptable policy-making in the future, it is important to investigate people’s preferences for sharing digital health data. Objective: The aim of this study is to elicit the preferences of the public in different Northern European countries (the United Kingdom, Norway, Iceland, and Sweden) for sharing health information in different contexts. Methods: Respondents in this discrete choice experiment completed several choice tasks, in which they were asked if data sharing in the described hypothetical situation was acceptable to them. Latent class logistic regression models were used to determine attribute-level estimates and heterogeneity in preferences. We calculated the relative importance of the attributes and the predicted acceptability for different contexts in which the data were shared from the estimates. Results: In the final analysis, we used 37.83% (1967/5199) questionnaires. All attributes influenced the respondents’ willingness to share health information (P<.001). The most important attribute was whether the respondents were informed about their data being shared. The possibility of opting out from sharing data was preferred over the opportunity to consent (opt-in). Four classes were identified in the latent class model, and the average probabilities of belonging were 27% for class 1, 32% for class 2, 23% for class 3, and 18% for class 4. The uptake probability varied between 14% and 85%, depending on the least to most preferred combination of levels. Conclusions: Respondents from different countries have different preferences for sharing their health data regarding the value of a review process and the reason for their new use. Offering respondents information about the use of their data and the possibility to opt out is the most preferred

Published
2021
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30. Preferences of the public for sharing health data:Discrete choice experiment

Author

Johansson, Jennifer Viberg, Bentzen, Heidi Beate, Shah, Nisha, Haraldsdóttir, Eik, Jónsdóttir, Gu björg Andrea, Kaye, Jane, Mascalzoni, Deborah, Veldwijk, Jorien, Johansson, Jennifer Viberg, Bentzen, Heidi Beate, Shah, Nisha, Haraldsdóttir, Eik, Jónsdóttir, Gu björg Andrea, Kaye, Jane, Mascalzoni, Deborah, and Veldwijk, Jorien

Abstract

Background: Digital technological development in the last 20 years has led to significant growth in digital collection, use, and sharing of health data. To maintain public trust in the digital society and to enable acceptable policy-making in the future, it is important to investigate people's preferences for sharing digital health data. Objective: The aim of this study is to elicit the preferences of the public in different Northern European countries (the United Kingdom, Norway, Iceland, and Sweden) for sharing health information in different contexts. Methods: Respondents in this discrete choice experiment completed several choice tasks, in which they were asked if data sharing in the described hypothetical situation was acceptable to them. Latent class logistic regression models were used to determine attribute-level estimates and heterogeneity in preferences. We calculated the relative importance of the attributes and the predicted acceptability for different contexts in which the data were shared from the estimates. Results: In the final analysis, we used 37.83% (1967/5199) questionnaires. All attributes influenced the respondents' willingness to share health information (P<.001). The most important attribute was whether the respondents were informed about their data being shared. The possibility of opting out from sharing data was preferred over the opportunity to consent (opt-in). Four classes were identified in the latent class model, and the average probabilities of belonging were 27% for class 1, 32% for class 2, 23% for class 3, and 18% for class 4. The uptake probability varied between 14% and 85%, depending on the least to most preferred combination of levels. Conclusions: Respondents from different countries have different preferences for sharing their health data regarding the value of a review process and the reason for their new use. Offering respondents information about the use of their data and the possibility to opt out is the most prefer

Published
2021

32. Becoming war: Towards a martial empiricism

Author

Bousquet, Antoine, Grove, Jairus, Shah, Nisha, Bousquet, Antoine, Grove, Jairus, and Shah, Nisha

Abstract

Under the banner of martial empiricism, we advance a distinctive set of theoretical and methodological commitments for the study of war. Previous efforts to wrestle with this most recalcitrant of phenomena have sought to ground research upon primary definitions or foundational ontologies of war. By contrast, we propose to embrace war’s incessant becoming, making its creativity, mutability and polyvalence central to our enquiry. Leaving behind the interminable quest for its essence, we embrace war as mystery. We draw on a tradition of radical empiricism to devise a conceptual and contextual mode of enquiry that can follow the processes and operations of war wherever they lead us. Moving beyond the instrumental appropriations of strategic thought and the normative strictures typical of critical approaches, martial empiricism calls for an unbounded investigation into the emergent and generative character of war. Framing the accompanying special issue, we outline three domains around which to orient future research: mobilization, design and encounter. Martial empiricism is no idle exercise in philosophical speculation. It holds the promise of a research agenda apposite to the task of fully contending with the momentous possibilities and dangers of war in our time.

Published
2020
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35. Relationships Between Communication, Time Pressure, Workload, Task Complexity, Logistical Issues and Group Composition in Transdisciplinary Teams: A Prospective Observational Study Across 822 Cancer Cases

Author

Soukup, Tayana, primary, Lamb, Benjamin W., additional, Shah, Nisha J., additional, Morbi, Abigail, additional, Bali, Anish, additional, Asher, Viren, additional, Gandamihardja, Tasha, additional, Giordano, Pasquale, additional, Darzi, Ara, additional, Green, James S. A., additional, and Sevdalis, Nick, additional

Published
2020
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37. Sa1778 RISK FACTORS FOR NON-ADHERENCE TO SELF-INJECTABLE BIOLOGIC THERAPY IN INFLAMMATORY BOWEL DISEASE: A VALIDATION COHORT STUDY

Author

Causey, Erin, primary, George, Lauren, additional, Shah, Nisha, additional, Zuckerman, Autumn, additional, Rossmann, Leah, additional, Slaughter, James C., additional, Duley, Caroline, additional, Annis, Kim, additional, Wagnon, Julianne, additional, Dalal, Robin L., additional, Scoville, Elizabeth A., additional, Beaulieu, Dawn, additional, Schwartz, David A., additional, Cross, Raymond, additional, and Horst, Sara N., additional

Published
2020
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38. Can we really 'forget' militarization? A conversation on Alison Howell's martial politics

Author

MacKenzie, Megan, Gregory, Thomas, Shah, Nisha, Barkawi, Tarak, Haastrup, Toni, Eichler, Maya, Wegner, Nicole, and Howell, Alison

Subjects
Gender Studies, Arts and Humanities (miscellaneous), Sociology and Political Science, Political Science and International Relations
Abstract

First paragraph: Alison Howell’s (2018) article “Forget ‘Militarization’: Race, Disability and the ‘Martial Politics’ of the Police and of the University” has already generated many rich conversations. With its bold critique of formulaic uses of the term “militarization,” and a call to observe the ways in which everyday life is shaped by martial politics, Howell's contribution especially gave pause to many of us who readily use the concept of militarization. One of Howell's core arguments is that the fixation with a perceived process of militarization is grounded in liberal fantasies of a “pre” or normal peaceful liberal order. She counters this, stating: “Normal politics” is not overtaken by “militarization”; instead, martial relations in here in liberal politics as they are enacted on populations deemed to be a threat to civil order or the health of the population, especially along lines of race, Indigeneity, disability, gender, sexuality and class. (, 118) Howell uses the term “martial” to capture the ways in which knowledges, relations, and technologies often taken for granted as “normal” and civilian are, historically, both “of war” and “war-like.”

Published
2019

41. Sharing data for future research - engaging participants' views about data governance beyond the original project:a DIRECT Study

Author

Shah, Nisha, Coathup, Victoria, Teare, Harriet, Forgie, Ian, Giordano, Giuseppe Nicola, Hansen, Tue Haldor, Groeneveld, Lenka, Hudson, Michelle, Pearson, Ewan, Ruetten, Hartmut, Kaye, Jane, Shah, Nisha, Coathup, Victoria, Teare, Harriet, Forgie, Ian, Giordano, Giuseppe Nicola, Hansen, Tue Haldor, Groeneveld, Lenka, Hudson, Michelle, Pearson, Ewan, Ruetten, Hartmut, and Kaye, Jane

Abstract

PURPOSE: Biomedical data governance strategies should ensure that data are collected, stored, and used ethically and lawfully. However, research participants' preferences for how data should be governed is least studied. The Diabetes Research on Patient Stratification (DIRECT) project collected substantial amounts of health and genetic information from patients at risk of, and with type II diabetes. We conducted a survey to understand participants' future data governance preferences. Results will inform the postproject data governance strategy.METHODS: A survey was distributed in Denmark, Sweden, The Netherlands, and the United Kingdom.RESULTS: In total 855 surveys were returned. Ninety-seven percent were supportive of sharing data postproject, and 90% were happy to share data with universities, and 56% with commercial companies. The top three priorities for data sharing were highly secure database, DIRECT researchers to monitor data used by other researchers, and researchers cannot identify participants. Respondents frequently suggested that a postproject Data Access Committee should involve a DIRECT researcher, diabetes clinician, patient representative, and a DIRECT participant.CONCLUSION: Preferences of how data should be governed, and what data could be shared and with whom varied between countries. Researchers are considered as key custodians of participant data. Engaging participants aids in designing governance to support their choices.

Published
2019

42. Motivations for data sharing—views of research participants from four European countries:A DIRECT study

Author

Shah, Nisha, Coathup, Victoria, Teare, Harriet, Forgie, Ian, Giordano, Giuseppe Nicola, Hansen, Tue Haldor, Groeneveld, Lenka, Hudson, Michelle, Pearson, Ewan, Ruetten, Hartmut, Kaye, Jane, Shah, Nisha, Coathup, Victoria, Teare, Harriet, Forgie, Ian, Giordano, Giuseppe Nicola, Hansen, Tue Haldor, Groeneveld, Lenka, Hudson, Michelle, Pearson, Ewan, Ruetten, Hartmut, and Kaye, Jane

Abstract

The purpose of this study was to explore and compare different countries in what motivated research participants’ decisions whether to share their de-identified data. We investigated European DIRECT (Diabetes Research on Patient Stratification) research project participants’ desire for control over sharing different types of their de-identified data, and with who data could be shared in the future after the project ends. A cross-sectional survey was disseminated among DIRECT project participants. The results found that there was a significant association between country and attitudes towards advancing research, protecting privacy, and beliefs about risks and benefits to sharing data. When given the choice to have control, some participants (<50% overall) indicated that having control over what data is shared and with whom was important; and control over what data types are shared was less important than respondents deciding who data are shared with. Danish respondents indicated higher odds of desire to control data types shared, and Dutch respondents showed higher odds of desire to control who data will be shared with. Overall, what research participants expect in terms of control over data sharing needs to be considered and aligned with sharing for future research and re-use of data. Our findings show that even with de-identified data, respondents prioritise privacy above all else. This study argues to move research participants from passive participation in biomedical research to considering their opinions about data sharing and control of de-identified biomedical data.

Published
2019

46. Sa1820 – Non-Adherence to Self-Injectable Biologic Medication in Patients with Moderate to Severe Inflammatory Bowel Disease is Associated with Increased Healthcare Resource Utilization

Author

Haydek, Jennifer, primary, Shah, Nisha, additional, Slaughter, James C., additional, Ashton, Jonathan R., additional, Wong, Rochelle, additional, Zuckerman, Autumn, additional, Duley, Caroline, additional, Garrett, Ailish, additional, Annis, Kim, additional, Wagnon, Julianne, additional, Dalal, Robin L., additional, Scoville, Elizabeth A., additional, Beaulieu, Dawn, additional, Schwartz, David A., additional, and Horst, Sara N., additional

Published
2019
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47. Infectious Pseudomonas and Bipolaris scleritis following history of pterygium surgery

Author

Abbey, Ashkan, Shah, Nisha, Forster, Richard, and Suh, Leejee

Subjects
Pseudomonas infections -- Diagnosis -- Care and treatment -- Research -- Risk factors, Scleritis -- Care and treatment -- Research -- Risk factors, Surgical wound infections -- Risk factors -- Research, Health
Abstract

Byline: Ashkan. Abbey, Nisha. Shah, Richard. Forster, Leejee. Suh We report an interesting case of infectious scleritis from coinfection of Pseudomonas aeruginosa and Bipolaris with no corneal infiltrate. A healthy [...]

Published
2016

49. A regulatory perspective on the influence of health information technology on organisational quality and safety in England.

Author

Martin, Guy, Arora, Sonal, Shah, Nisha, King, Dominic, and Darzi, Ara

Subjects
DATABASE management, INFORMATION storage & retrieval systems, INFORMATION technology, MEDICAL quality control, MEDICAL informatics, PATIENT safety, QUALITY assurance, REPORT writing, RESEARCH funding, STATISTICS, TECHNOLOGY, RULES, DATA analysis, ACCESS to information, DATA analysis software, MANN Whitney U Test, KRUSKAL-Wallis Test
Abstract

Health information technology can transform and enhance the quality and safety of care, but it may also introduce new risks. This study analysed 130 healthcare regulator inspection reports and organisational digital maturity scores in order to characterise the impact of health information technology on quality and safety from a regulatory perspective. Although digital maturity and the positive use of health information technology are significantly associated with overall organisational quality, the negative effects of health information technology are frequently and more commonly identified by regulators. The poor usability of technology, lack of easy access to systems and data and the incorrect use of health information technology are the most commonly identified areas adversely affecting quality and safety. There is a need to understand the full risks and benefits of health information technology from the perspective of all stakeholders, including patients, end-users, providers and regulators in order to best inform future practice and regulation. [ABSTRACT FROM AUTHOR]

Published
2020
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50. Abstracts from the Eighth Annual National Association of Specialty Pharmacy (NASP) Meeting.

Author

Edmonds, Cori, Carver, Alicia, DeClercq, Josh, Choi, Leena, Peter, Megan, Forbes, Rachel, Concepcion, Beatrice, Schlendorf, Kelly, Perri, Roman, Johnson, Keren E., Chelewski, Rachel, Zuckerman, Autumn, Langone, Anthony, Peter, Megan E., Gipson, Hannah M., Gregory, William T., Chakrabarti, Anwesa, Zuckerman, Autumn D., Victoria, Reynolds, and Shah, Nisha

Subjects
ANTIVIRAL agents, ORGANS (Anatomy), HEPATITIS C, SPECIALTY pharmacies, PATIENT care
Published
2020
Full Text
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