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Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews
- Brooke Levis, Andrea Benedetti, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar, Danielle B. Rice, Matthew J. Chiovitti, Tatiana A. Sanchez, Pim Cuijpers, Simon Gilbody, John P. A. Ioannidis, Lorie A. Kloda, Dean McMillan, Scott B. Patten, Ian Shrier, Russell J. Steele, Roy C. Ziegelstein, Dickens H. Akena, Bruce Arroll, Liat Ayalon, Hamid R. Baradaran, Murray Baron, Anna Beraldi, Charles H. Bombardier, Peter Butterworth, Gregory Carter, Marcos H. Chagas, Juliana C. N. Chan, Rushina Cholera, Neerja Chowdhary, Kerrie Clover, Yeates Conwell, Janneke M. de Man-van Ginkel, Jaime Delgadillo, Jesse R. Fann, Felix H. Fischer, Benjamin Fischler, Daniel Fung, Bizu Gelaye, Felicity Goodyear-Smith, Catherine G. Greeno, Brian J. Hall, John Hambridge, Patricia A. Harrison, Ulrich Hegerl, Leanne Hides, Stevan E. Hobfoll, Marie Hudson, Thomas Hyphantis, Masatoshi Inagaki, Khalida Ismail, Nathalie Jetté, Mohammad E. Khamseh, Kim M. Kiely, Femke Lamers, Shen-Ing Liu, Manote Lotrakul, Sonia R. Loureiro, Bernd Löwe, Laura Marsh, Anthony McGuire, Sherina Mohd Sidik, Tiago N. Munhoz, Kumiko Muramatsu, Flávia L. Osório, Vikram Patel, Brian W. Pence, Philippe Persoons, Angelo Picardi, Alasdair G. Rooney, Iná S. Santos, Juwita Shaaban, Abbey Sidebottom, Adam Simning, Lesley Stafford, Sharon Sung, Pei Lin Lynnette Tan, Alyna Turner, Christina M. van der Feltz-Cornelis, Henk C. van Weert, Paul A. Vöhringer, Jennifer White, Mary A. Whooley, Kirsty Winkley, Mitsuhiko Yamada, Yuying Zhang, Brett D. Thombs
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- Journal:
- The British Journal of Psychiatry / Volume 212 / Issue 6 / June 2018
- Published online by Cambridge University Press:
- 02 May 2018, pp. 377-385
- Print publication:
- June 2018
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Background
Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully structured interviews are completely scripted. The Mini International Neuropsychiatric Interview (MINI), a brief fully structured interview, is also sometimes used. It is not known whether interview method is associated with probability of major depression classification.
AimsTo evaluate the association between interview method and odds of major depression classification, controlling for depressive symptom scores and participant characteristics.
MethodData collected for an individual participant data meta-analysis of Patient Health Questionnaire-9 (PHQ-9) diagnostic accuracy were analysed and binomial generalised linear mixed models were fit.
ResultsA total of 17 158 participants (2287 with major depression) from 57 primary studies were analysed. Among fully structured interviews, odds of major depression were higher for the MINI compared with the Composite International Diagnostic Interview (CIDI) (odds ratio (OR) = 2.10; 95% CI = 1.15–3.87). Compared with semi-structured interviews, fully structured interviews (MINI excluded) were non-significantly more likely to classify participants with low-level depressive symptoms (PHQ-9 scores ≤6) as having major depression (OR = 3.13; 95% CI = 0.98–10.00), similarly likely for moderate-level symptoms (PHQ-9 scores 7–15) (OR = 0.96; 95% CI = 0.56–1.66) and significantly less likely for high-level symptoms (PHQ-9 scores ≥16) (OR = 0.50; 95% CI = 0.26–0.97).
ConclusionsThe MINI may identify more people as depressed than the CIDI, and semi-structured and fully structured interviews may not be interchangeable methods, but these results should be replicated.
Declaration of interestDrs Jetté and Patten declare that they received a grant, outside the submitted work, from the Hotchkiss Brain Institute, which was jointly funded by the Institute and Pfizer. Pfizer was the original sponsor of the development of the PHQ-9, which is now in the public domain. Dr Chan is a steering committee member or consultant of Astra Zeneca, Bayer, Lilly, MSD and Pfizer. She has received sponsorships and honorarium for giving lectures and providing consultancy and her affiliated institution has received research grants from these companies. Dr Hegerl declares that within the past 3 years, he was an advisory board member for Lundbeck, Servier and Otsuka Pharma; a consultant for Bayer Pharma; and a speaker for Medice Arzneimittel, Novartis, and Roche Pharma, all outside the submitted work. Dr Inagaki declares that he has received grants from Novartis Pharma, lecture fees from Pfizer, Mochida, Shionogi, Sumitomo Dainippon Pharma, Daiichi-Sankyo, Meiji Seika and Takeda, and royalties from Nippon Hyoron Sha, Nanzando, Seiwa Shoten, Igaku-shoin and Technomics, all outside of the submitted work. Dr Yamada reports personal fees from Meiji Seika Pharma Co., Ltd., MSD K.K., Asahi Kasei Pharma Corporation, Seishin Shobo, Seiwa Shoten Co., Ltd., Igaku-shoin Ltd., Chugai Igakusha and Sentan Igakusha, all outside the submitted work. All other authors declare no competing interests. No funder had any role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.
Evacuations as a Result of Hurricane Sandy: Analysis of the 2014 New Jersey Behavioral Risk Factor Survey
- Prathit A. Kulkarni, Hui Gu, Stella Tsai, Marian Passannante, Soyeon Kim, Pauline A. Thomas, Christina G. Tan, Amy L. Davidow
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- Journal:
- Disaster Medicine and Public Health Preparedness / Volume 11 / Issue 6 / December 2017
- Published online by Cambridge University Press:
- 29 June 2017, pp. 720-728
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Objective
We characterized evacuations related to Hurricane Sandy, which made landfall in New Jersey on October 29, 2012.
MethodsWe analyzed data from the 2014 New Jersey Behavioral Risk Factor Survey. The proportion of respondents reporting evacuation was used to estimate the number of New Jersey adults who evacuated. We determined evacuation rates in heavily impacted and less-impacted municipalities, as well as evacuation rates for municipalities under and not under mandatory evacuation orders. We tested associations between demographic and health factors, such as certain chronic health conditions, and evacuation.
ResultsAmong respondents, 12.7% (95% CI: 11.8%-13.6%) reported evacuating, corresponding to approximately 880,000 adults. In heavily impacted municipalities, 17.0% (95% CI: 15.2%-18.7%) evacuated, compared with 10.1% (95% CI: 9.0%-11.2%) in less-impacted municipalities. In municipalities under mandatory evacuation orders, 42.5% (95% CI: 35.1%-49.8%) evacuated, compared with 11.8% (95% CI: 10.9%-12.9%) in municipalities not under mandatory orders. Female gender (odds ratio [OR]: 1.36; 95% CI: 1.14-1.64), unmarried status (OR: 1.22; 95% CI: 1.02-1.46), shorter length of residence (OR: 1.28; 95% CI: 1.03-1.60), and living in a heavily impacted municipality (OR: 1.84; 95% CI: 1.54-2.20) were significantly associated with evacuation. History of stroke (OR: 1.61; 95% CI: 1.02-2.53) was the only chronic condition associated with evacuation.
ConclusionsApproximately 880,000 New Jersey adults evacuated because of Hurricane Sandy. Those in heavily impacted municipalities and municipalities under mandatory evacuation orders had higher evacuation rates; however, still fewer than half evacuated. These findings can be used for future disaster planning. (Disaster Med Public Health Preparedness. 2017;11:720–728).
Contributors
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- By Phillip L. Ackerman, Soon Ang, Susan M. Barnett, G. David Batty, Anna S. Beninger, Jillian Brass, Meghan M. Burke, Nancy Cantor, Priyanka B. Carr, David R. Caruso, Stephen J. Ceci, Lillia Cherkasskiy, Joanna Christodoulou, Andrew R. A. Conway, Christine E. Daley, Janet E. Davidson, Jim Davies, Katie Davis, Ian J. Deary, Colin G. DeYoung, Ron Dumont, Carol S. Dweck, Linn Van Dyne, Pascale M. J. Engel de Abreu, Joseph F. Fagan, David Henry Feldman, Kurt W. Fischer, Marisa H. Fisher, James R. Flynn, Liane Gabora, Howard Gardner, Glenn Geher, Sarah J. Getz, Judith Glück, Ashok K. Goel, Megan M. Griffin, Elena L. Grigorenko, Richard J. Haier, Diane F. Halpern, Christopher Hertzog, Robert M. Hodapp, Earl Hunt, Alan S. Kaufman, James C. Kaufman, Scott Barry Kaufman, Iris A. Kemp, John F. Kihlstrom, Joni M. Lakin, Christina S. Lee, David F. Lohman, N. J. Mackintosh, Brooke Macnamara, Samuel D. Mandelman, John D. Mayer, Richard E. Mayer, Martha J. Morelock, Ted Nettelbeck, Raymond S. Nickerson, Weihua Niu, Anthony J. Onwuegbuzie, Jonathan A. Plucker, Sally M. Reis, Joseph S. Renzulli, Heiner Rindermann, L. Todd Rose, Anne Russon, Peter Salovey, Scott Seider, Ellen L. Short, Keith E. Stanovich, Ursula M. Staudinger, Robert J. Sternberg, Carli A. Straight, Lisa A. Suzuki, Mei Ling Tan, Maggie E. Toplak, Susana Urbina, Richard K. Wagner, Richard F. West, Wendy M. Williams, John O. Willis, Thomas R. Zentall
- Edited by Robert J. Sternberg, Oklahoma State University, Scott Barry Kaufman, New York University
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- Book:
- The Cambridge Handbook of Intelligence
- Published online:
- 05 June 2012
- Print publication:
- 30 May 2011, pp xi-xiv
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A Preventable Outbreak of Pneumococcal Pneumonia Among Unvaccinated Nursing Home Residents in New Jersey During 2001
- Christina G. Tan, Stanley Ostrawski, Eddy A. Bresnitz
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 24 / Issue 11 / November 2003
- Published online by Cambridge University Press:
- 02 January 2015, pp. 848-852
- Print publication:
- November 2003
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Objective:
To characterize risk factors for invasive pneumococcal infection in a nursing home outbreak.
Design:Outbreak investigation, case-control study.
Setting:A 114-bed nursing home in New Jersey.
Participants:Case-patients were nursing home residents hospitalized with febrile respiratory illness and radiographic findings consistent with pneumonia, and either sputum specimens positive for diplococci or blood cultures positive for Streptococcus pneumoniae, with illness onset during April 3-24, 2001. Control-patients were selected randomly from remaining residents without respiratory symptoms.
Methods:Chart reviews were performed for case-patients and control-patients. Serotyping and susceptibility testing were performed on S. pneumoniae isolates. Long-term-care facilities (LTCFs) were surveyed to assess compliance with a state regulation mandating pneumococcal vaccination of residents 65 years and older.
Results:Nine case-patients were identified, with a median age of 86 years (range, 78 to 100 years). The median age of control-patients was 86 years (range, 58 to 95 years). No case-patients versus 9 (50%) control-patients received pneumococcal vaccine before the outbreak (OR, 0; CI95, 0–0.7). Recent antibiotic use, pneumonia history, and physical functioning were not associated with illness. Illness attack rate was 16% among all unvaccinated residents versus 0 among vaccinated residents. S. pneumoniae serotype 14, included in pneumococcal vaccine, was isolated from blood cultures of 7 case-patients. Of 361 LTCFs (42%) that replied to the survey, 28 (8%) were not complying with state immunization regulations.
Conclusions:This outbreak occurred in an LTCF with low vaccine coverage. Implementing standing order programs, enforcing regulations, documenting vaccinations, and providing education might increase coverage among nursing home residents.