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Mansour MB, Busschers WB, Crone MR, van Asselt KM, van Weert HC, Chavannes NH, Meijer E. Use of the Smoking Cessation App Ex-Smokers iCoach and Associations With Smoking-Related Outcomes Over Time in a Large Sample of European Smokers: Retrospective Observational Study. J Med Internet Res 2023; 25:e45223. [PMID: 37606969 PMCID: PMC10481207 DOI: 10.2196/45223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 04/24/2023] [Accepted: 06/30/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Digital interventions are increasingly used to support smoking cessation. Ex-smokers iCoach was a widely available app for smoking cessation used by 404,551 European smokers between June 15, 2011, and June 21, 2013. This provides a unique opportunity to investigate the uptake of a freely available digital smoking cessation intervention and its effects on smoking-related outcomes. OBJECTIVE We aimed to investigate whether there were distinct trajectories of iCoach use, examine which baseline characteristics were associated with user groups (based on the intensity of use), and assess if and how these groups were associated with smoking-related outcomes. METHODS Analyses were performed using data from iCoach users registered between June 15, 2011, and June 21, 2013. Smoking-related data were collected at baseline and every 3 months thereafter, with a maximum of 8 follow-ups. First, group-based modeling was applied to detect distinct trajectories of app use. This was performed in a subset of steady users who had completed at least 1 follow-up measurement. Second, ordinal logistic regression was used to assess the baseline characteristics that were associated with user group membership. Finally, generalized estimating equations were used to examine the association between the user groups and smoking status, quitting stage, and self-efficacy over time. RESULTS Of the 311,567 iCoach users, a subset of 26,785 (8.6%) steady iCoach users were identified and categorized into 4 distinct user groups: low (n=17,422, 65.04%), mild (n=4088, 15.26%), moderate (n=4415, 16.48%), and intensive (n=860, 3.21%) users. Older users and users who found it important to quit smoking had higher odds of more intensive app use, whereas men, employed users, heavy smokers, and users with higher self-efficacy scores had lower odds of more intensive app use. User groups were significantly associated with subsequent smoking status, quitting stage, and self-efficacy over time. For all groups, over time, the probability of being a smoker decreased, whereas the probability of being in an improved quitting stage increased, as did the self-efficacy to quit smoking. For all outcomes, the greatest change was observed between baseline and the first follow-up at 3 months. In the intensive user group, the greatest change was seen between baseline and the 9-month follow-up, with the observed change declining gradually in moderate, mild, and low users. CONCLUSIONS In the subset of steady iCoach users, more intensive app use was associated with higher smoking cessation rates, increased quitting stage, and higher self-efficacy to quit smoking over time. These users seemed to benefit most from the app in the first 3 months of use. Women and older users were more likely to use the app more intensively. Additionally, users who found quitting difficult used the iCoach app more intensively and grew more confident in their ability to quit over time.
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Affiliation(s)
- Marthe Bl Mansour
- Department of General Practice, Academic Medical Centre Amsterdam, Amsterdam University Medical Centres, Amsterdam, Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Wim B Busschers
- Department of General Practice, Academic Medical Centre Amsterdam, Amsterdam University Medical Centres, Amsterdam, Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Mathilde R Crone
- Department of Public Health & Primary Care, Leiden University Medical Centre, Leiden, Netherlands
- National eHealth Living Lab, Leiden University Medical Center, Leiden, Netherlands
| | - Kristel M van Asselt
- Department of General Practice, Academic Medical Centre Amsterdam, Amsterdam University Medical Centres, Amsterdam, Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Henk C van Weert
- Department of General Practice, Academic Medical Centre Amsterdam, Amsterdam University Medical Centres, Amsterdam, Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Niels H Chavannes
- Department of Public Health & Primary Care, Leiden University Medical Centre, Leiden, Netherlands
- National eHealth Living Lab, Leiden University Medical Center, Leiden, Netherlands
| | - Eline Meijer
- Department of Public Health & Primary Care, Leiden University Medical Centre, Leiden, Netherlands
- National eHealth Living Lab, Leiden University Medical Center, Leiden, Netherlands
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Westerbeek L, de Bruijn GJ, van Weert HC, Abu-Hanna A, Medlock S, van Weert JC. General Practitioners’ needs and wishes for clinical decision support Systems: A focus group study. Int J Med Inform 2022; 168:104901. [DOI: 10.1016/j.ijmedinf.2022.104901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/30/2022] [Accepted: 10/14/2022] [Indexed: 11/07/2022]
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Mansour MBL, Crone MR, van Weert HC, Chavannes NH, van Asselt KM. Stop smoking advice by practice assistants after routine cervical screening in general practice: A qualitative exploration of potential barriers and enablers. Eur J Gen Pract 2022; 28:56-65. [PMID: 35394361 PMCID: PMC9004501 DOI: 10.1080/13814788.2022.2053105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background Cervical screening could be an appropriate routine moment to provide female smokers with tailored stop smoking advice. In Dutch general practice, cervical smears are performed by practice assistants. Objectives This study was performed in preparation for a randomised trial to identify potential barriers and enablers for a brief stop smoking strategy performed by trained practice assistants after routine cervical screening. Methods Between December 2016 and March 2017 three focus group meetings were held with ten practice assistants, three nurses, and six general practitioners to explore their views and expectations towards the proposed approach. We analysed data using thematic analysis. Identified factors are presented within the framework of the Social-Ecological Model. Results Potential barriers and enablers were identified at individual, interpersonal, and workplace levels. Practice assistants, nurses and GPs did not consider assistants to have a role in stop smoking care. They believed it is feasible to register smoking status but had reservations towards providing advice by assistants, for which knowledge and skills are needed. Practice assistants’ own beliefs about smokers and smokers’ response to stop smoking advice might influence how assistants and smokers interact. An explanation of why advice is given could help, provided assistants have enough time and experience with the smear. The nurses’ availability and general practitioners’ view on prevention might affect the delivery of the strategy by the assistant. Conclusion At individual, interpersonal, and workplace levels, several factors could influence the provision of a stop smoking strategy by a practice assistant.
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Affiliation(s)
- Marthe B L Mansour
- Department of General Practice, Amsterdam UMC, Academic Medical Centre Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health, The Netherlands
| | - Matty R Crone
- Department of Public Health and Primary Care (PHEG), Leiden University Medical Centre, Leiden, The Netherlands
| | - Henk C van Weert
- Department of General Practice, Amsterdam UMC, Academic Medical Centre Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health, The Netherlands
| | - Niels H Chavannes
- Department of Public Health and Primary Care (PHEG), Leiden University Medical Centre, Leiden, The Netherlands
| | - Kristel M van Asselt
- Department of General Practice, Amsterdam UMC, Academic Medical Centre Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health, The Netherlands
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Mansour MB, Crone MR, Sert E, van Weert HC, Chavannes NH, van Asselt KM. Smoking cessation strategy in the national cervical cancer screening program (SUCCESS): study protocol for a pragmatic cluster randomised trial and process evaluation in Dutch general practice. BMJ Open 2022; 12:e055812. [PMID: 35379626 PMCID: PMC8981275 DOI: 10.1136/bmjopen-2021-055812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Cervical cancer screening in general practice could be a routine moment to provide female smokers with stop smoking advice and support. The aim of this study is to assess the effect of a stop smoking strategy delivered by trained practice assistants after the cervical smear, and to evaluate the implementation process. METHODS AND ANALYSIS The study is a two-arm, pragmatic cluster randomised trial, in Dutch general practice. Randomisation takes place 1:1 at the level of the general practice. Practices either deliver the SUCCESS stop smoking strategy or the usual care condition. The strategy consists of brief stop smoking advice based on the Ask-Advise-Connect method and is conducted by trained practice assistants after routine cervical cancer screening. The primary outcome is the performance of a serious quit attempt in the 6 months after screening. Secondary outcomes are 7-day point prevalence abstinence, reduction in the number of cigarettes per day and transition in motivation to quit smoking. Follow-up for these measurements takes place after 6 months. Analysis on the primary outcome aims to detect a 10% difference between treatment arms (0.80 power, p=0.05, using a one-sided test), and will be performed according to the intention to treat principle. The process evaluation will assess feasibility, acceptability and barriers or enablers to the strategy's implementation. For this purpose, both qualitative and quantitative data will be collected via questionnaires and in-depth interviews, respectively, in both individual study participants and involved staff. ETHICS AND DISSEMINATION The Dutch Ministry of Health, Welfare and Sport approved of the trial after an advisory report from the Health Council (Nr. 2018/17). A licence was provided to conduct the study under the Population Screening Act. Study results will be disseminated through publications in peer-reviewed journals and conference presentations. TRIAL REGISTRATION NUMBER NL5052 (NTR7451).
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Affiliation(s)
- Marthe Bl Mansour
- Department of General Practice, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Mathilde R Crone
- Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Edanur Sert
- Department of General Practice, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Henk C van Weert
- Department of General Practice, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Niels H Chavannes
- Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Kristel M van Asselt
- Department of General Practice, Amsterdam University Medical Centres, Amsterdam, The Netherlands
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Wu Y, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, Rice DB, Boruff J, Cuijpers P, Gilbody S, Ioannidis JPA, Kloda LA, McMillan D, Patten SB, Shrier I, Ziegelstein RC, Akena DH, Arroll B, Ayalon L, Baradaran HR, Baron M, Bombardier CH, Butterworth P, Carter G, Chagas MH, Chan JCN, Cholera R, Conwell Y, de Manvan Ginkel JM, Fann JR, Fischer FH, Fung D, Gelaye B, Goodyear-Smith F, Greeno CG, Hall BJ, Harrison PA, Härter M, Hegerl U, Hides L, Hobfoll SE, Hudson M, Hyphantis T, Inagaki M, Jetté N, Khamseh ME, Kiely KM, Kwan Y, Lamers F, Liu SI, Lotrakul M, Loureiro SR, Löwe B, McGuire A, Mohd-Sidik S, Munhoz TN, Muramatsu K, Osório FL, Patel V, Pence BW, Persoons P, Picardi A, Reuter K, Rooney AG, Santos IS, Shaaban J, Sidebottom A, Simning A, Stafford L, Sung S, Tan PLL, Turner A, van Weert HC, White J, Whooley MA, Winkley K, Yamada M, Benedetti A, Thombs BD. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis - ERRATUM. Psychol Med 2020; 50:2816. [PMID: 31423953 DOI: 10.1017/s0033291719002137] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Wu Y, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, Rice DB, Boruff J, Cuijpers P, Gilbody S, Ioannidis JPA, Kloda LA, McMillan D, Patten SB, Shrier I, Ziegelstein RC, Akena DH, Arroll B, Ayalon L, Baradaran HR, Baron M, Bombardier CH, Butterworth P, Carter G, Chagas MH, Chan JCN, Cholera R, Conwell Y, de Man-van Ginkel JM, Fann JR, Fischer FH, Fung D, Gelaye B, Goodyear-Smith F, Greeno CG, Hall BJ, Harrison PA, Härter M, Hegerl U, Hides L, Hobfoll SE, Hudson M, Hyphantis T, Inagaki M, Jetté N, Khamseh ME, Kiely KM, Kwan Y, Lamers F, Liu SI, Lotrakul M, Loureiro SR, Löwe B, McGuire A, Mohd-Sidik S, Munhoz TN, Muramatsu K, Osório FL, Patel V, Pence BW, Persoons P, Picardi A, Reuter K, Rooney AG, Santos IS, Shaaban J, Sidebottom A, Simning A, Stafford L, Sung S, Tan PLL, Turner A, van Weert HC, White J, Whooley MA, Winkley K, Yamada M, Benedetti A, Thombs BD. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis. Psychol Med 2020; 50:1368-1380. [PMID: 31298180 PMCID: PMC6954991 DOI: 10.1017/s0033291719001314] [Citation(s) in RCA: 140] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. METHODS We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. RESULTS 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). CONCLUSIONS PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.
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Affiliation(s)
- Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Kira E Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Alexander W Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Danielle B Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Jill Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Quebec, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - John P A Ioannidis
- Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA
| | - Lorie A Kloda
- Library, Concordia University, Montréal, Québec, Canada
| | - Dean McMillan
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - Scott B Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dickens H Akena
- Department of Psychiatry, Makerere University College of Health Sciences, Kampala, Uganda
| | - Bruce Arroll
- Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Liat Ayalon
- Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel
| | - Hamid R Baradaran
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
- Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, UK
| | - Murray Baron
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Charles H Bombardier
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
| | - Peter Butterworth
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, The Australian National University, Canberra, Australia
- Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Melbourne, Australia
| | - Gregory Carter
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
| | - Marcos H Chagas
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region (SAR), China
- Asia Diabetes Foundation, Prince of Wales Hospital, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, Hong Kong SAR, China
| | - Rushina Cholera
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester Medical Center, New York, USA
| | - Janneke M de Man-van Ginkel
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jesse R Fann
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Felix H Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Daniel Fung
- Department of Child & Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Felicity Goodyear-Smith
- Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Catherine G Greeno
- School of Social Work, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Brian J Hall
- Global and Community Mental Health Research Group, Department of Psychology, Faculty of Social Sciences, University of Macau, Macau Special Administrative Region, China
- Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Hegerl
- Depression Research Center of the German Depression Foundation and Department of Psychiatry, Psychosomatics and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Leanne Hides
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia
| | - Stevan E Hobfoll
- STAR-Stress, Anxiety & Resilience Consultants, Chicago, Illinois, USA
| | - Marie Hudson
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Thomas Hyphantis
- Department of Psychiatry, University of Ioannina, Ioannina, Greece
| | - Masatoshi Inagaki
- Department of Psychiatry, Faculty of Medicine, Shimane University, Shimane, Japan
| | - Nathalie Jetté
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mohammad E Khamseh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Kim M Kiely
- School of Psychology, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Yunxin Kwan
- Department of Psychological Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Femke Lamers
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Shen-Ing Liu
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
- Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, Mackay Medical College, Taipei, Taiwan
| | - Manote Lotrakul
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Sonia R Loureiro
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anthony McGuire
- Department of Nursing, St. Joseph's College, Standish, Maine, USA
| | - Sherina Mohd-Sidik
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Cancer Resource & Education Centre, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Tiago N Munhoz
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Kumiko Muramatsu
- Department of Clinical Psychology, Graduate School of Niigata Seiryo University, Niigata, Japan
| | - Flávia L Osório
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- National Institute of Science and Technology, Translational Medicine, Ribeirão Preto, Brazil
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Brian W Pence
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Philippe Persoons
- Department of Adult Psychiatry, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Angelo Picardi
- Centre for Behavioural Sciences and Mental Health, Italian National Institute of Health, Rome, Italy
| | - Katrin Reuter
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - Alasdair G Rooney
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburg, Edinburgh, Scotland, UK
| | - Iná S Santos
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Juwita Shaaban
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | - Adam Simning
- Department of Psychiatry, University of Rochester Medical Center, New York, USA
| | - Lesley Stafford
- Centre for Women's Mental Health, Royal Women's Hospital, Parkville, Melbourne, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Australia
| | - Sharon Sung
- Department of Child & Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Pei Lin Lynnette Tan
- Department of Psychological Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Alyna Turner
- School of Medicine and Public Health, University of Newcastle, New South Wales, Newcastle, Australia
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Henk C van Weert
- Department of General Practice, Amsterdam Institute for General Practice and Public Health, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | | | - Mary A Whooley
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
- Department of Medicine, Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Kirsty Winkley
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK
| | - Mitsuhiko Yamada
- Department of Neuropsychopharmacology, National Institute of Mental Health, National Center of Neurology and Psychiatry, Ogawa-Higashi, Kodaira, Tokyo, Japan
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada
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Levis B, Benedetti A, Ioannidis JPA, Sun Y, Negeri Z, He C, Wu Y, Krishnan A, Bhandari PM, Neupane D, Imran M, Rice DB, Riehm KE, Saadat N, Azar M, Boruff J, Cuijpers P, Gilbody S, Kloda LA, McMillan D, Patten SB, Shrier I, Ziegelstein RC, Alamri SH, Amtmann D, Ayalon L, Baradaran HR, Beraldi A, Bernstein CN, Bhana A, Bombardier CH, Carter G, Chagas MH, Chibanda D, Clover K, Conwell Y, Diez-Quevedo C, Fann JR, Fischer FH, Gholizadeh L, Gibson LJ, Green EP, Greeno CG, Hall BJ, Haroz EE, Ismail K, Jetté N, Khamseh ME, Kwan Y, Lara MA, Liu SI, Loureiro SR, Löwe B, Marrie RA, Marsh L, McGuire A, Muramatsu K, Navarrete L, Osório FL, Petersen I, Picardi A, Pugh SL, Quinn TJ, Rooney AG, Shinn EH, Sidebottom A, Spangenberg L, Tan PLL, Taylor-Rowan M, Turner A, van Weert HC, Vöhringer PA, Wagner LI, White J, Winkley K, Thombs BD. Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis. J Clin Epidemiol 2020; 122:115-128.e1. [PMID: 32105798 DOI: 10.1016/j.jclinepi.2020.02.002] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 02/08/2020] [Accepted: 02/18/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence. STUDY DESIGN AND SETTING Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status. RESULTS A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%). CONCLUSION PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.
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Affiliation(s)
- Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada
| | - John P A Ioannidis
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA; Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Zelalem Negeri
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Parash Mani Bhandari
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Danielle B Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Kira E Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Jill Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montréal, Québec, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, NY, UK
| | - Lorie A Kloda
- Library, Concordia University, Montréal, Québec, Canada
| | - Dean McMillan
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Scott B Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Department of Family Medicine, McGill University, Montréal, Québec, Canada
| | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sultan H Alamri
- Faculty of Medicine, King Abdulaziz University, Jeddah, Makkah, Saudi Arabia
| | - Dagmar Amtmann
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Liat Ayalon
- Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel
| | - Hamid R Baradaran
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran; Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, UK
| | - Anna Beraldi
- Kbo-Lech-Mangfall-Klinik Garmisch-Partenkirchen, Klinik für Psychiatrie, Psychotherapie & Psychosomatik, Lehrkrankenhaus der Technischen Universität München, Munich, Germany
| | - Charles N Bernstein
- University of Manitoba IBD Clinical and Research Centre, Winnipeg, Manitoba, Canada; Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Arvin Bhana
- Centre for Rural Health, School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa; Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Charles H Bombardier
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Gregory Carter
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
| | - Marcos H Chagas
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Dixon Chibanda
- Department of Community Medicine, University of Zimbabwe, Harare, Zimbabwe
| | - Kerrie Clover
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Crisanto Diez-Quevedo
- Servei de Psiquiatria, Hospital Germans Trias i Pujol, Badalona, Spain; Departament de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Jesse R Fann
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Felix H Fischer
- Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Leila Gholizadeh
- Faculty of Health, University of Technology Sydney, Sydney, Australia
| | - Lorna J Gibson
- Tropical Epidemiology Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Eric P Green
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | | | - Brian J Hall
- Department of Psychology, Faculty of Social Sciences, Global and Community Mental Health Research Group, University of Macau, Macau Special Administrative Region, China; Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Emily E Haroz
- Center for American Indian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Khalida Ismail
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London Weston Education Centre, London, UK
| | - Nathalie Jetté
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mohammad E Khamseh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Yunxin Kwan
- Department of Psychological Medicine, Tan Tock Seng Hospital, Singapore
| | - Maria Asunción Lara
- Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz. San Lorenzo Huipulco, Tlalpan, México D. F. Mexico
| | - Shen-Ing Liu
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore; Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan; Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan; Department of Medicine, Mackay Medical College, Taipei, Taiwan
| | - Sonia R Loureiro
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ruth Ann Marrie
- Departments of Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Laura Marsh
- Baylor College of Medicine, Houston and Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Anthony McGuire
- Department of Nursing, St. Joseph's College, Standish, ME, USA
| | - Kumiko Muramatsu
- Department of Clinical Psychology, Graduate School of Niigata Seiryo University, Niigata, Japan
| | - Laura Navarrete
- Department of Epidemiology and Psychosocial Research, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Ciudad de México, Mexico
| | - Flávia L Osório
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil; National Institute of Science and Technology, Translational Medicine, Ribeirão Preto, Brazil
| | - Inge Petersen
- Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Angelo Picardi
- Centre for Behavioural Sciences and Mental Health, Italian National Institute of Health, Rome, Italy
| | - Stephanie L Pugh
- NRG Oncology Statistics and Data Management Center, Philadelphia, PA, USA; American College of Radiology, Philadelphia, PA, USA
| | - Terence J Quinn
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, Scotland, UK
| | - Alasdair G Rooney
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburg, Edinburgh, Scotland, UK
| | - Eileen H Shinn
- Department of Behavioral Science, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | | | - Lena Spangenberg
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany
| | | | - Martin Taylor-Rowan
- Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, Scotland, UK
| | - Alyna Turner
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Henk C van Weert
- Department of General Practice, Amsterdam Institute for General Practice and Public Health, Amsterdam University Medical Centers, Location AMC, Amsterdam, the Netherlands
| | - Paul A Vöhringer
- Department of Psychiatry and Mental Health, Clinical Hospital, Universidad de Chile, Santiago, Chile; Millennium Institute for Depression and Personality Research (MIDAP), Ministry of Economy, Macul, Santiago, Chile; Psychiatry Department, Tufts Medical Center, Tufts University, Boston, MA, USA
| | - Lynne I Wagner
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA; Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | - Jennifer White
- Department of Physiotherapy, School of Primary and Allied Health Care, Monash University, Melbourne, Australia
| | - Kirsty Winkley
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Psychology, McGill University, Montréal, Québec, Canada; Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada; Biomedical Ethics Unit, McGill University, Montréal, Québec, Canada.
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8
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He C, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, Rice DB, Krishnan A, Wu Y, Sun Y, Imran M, Boruff J, Cuijpers P, Gilbody S, Ioannidis JP, Kloda LA, McMillan D, Patten SB, Shrier I, Ziegelstein RC, Akena DH, Arroll B, Ayalon L, Baradaran HR, Baron M, Beraldi A, Bombardier CH, Butterworth P, Carter G, Chagas MH, Chan JCN, Cholera R, Clover K, Conwell Y, de Man-van Ginkel JM, Fann JR, Fischer FH, Fung D, Gelaye B, Goodyear-Smith F, Greeno CG, Hall BJ, Harrison PA, Härter M, Hegerl U, Hides L, Hobfoll SE, Hudson M, Hyphantis T, Inagaki M, Ismail K, Jetté N, Khamseh ME, Kiely KM, Kwan Y, Lamers F, Liu SI, Lotrakul M, Loureiro SR, Löwe B, Marsh L, McGuire A, Mohd-Sidik S, Munhoz TN, Muramatsu K, Osório FL, Patel V, Pence BW, Persoons P, Picardi A, Reuter K, Rooney AG, Santos IS, Shaaban J, Sidebottom A, Simning A, Stafford L, Sung S, Tan PLL, Turner A, van Weert HC, White J, Whooley MA, Winkley K, Yamada M, Thombs BD, Benedetti A. The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis. Psychother Psychosom 2019; 89:25-37. [PMID: 31593971 PMCID: PMC6960351 DOI: 10.1159/000502294] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/19/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. OBJECTIVE To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. METHODS Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. RESULTS Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). CONCLUSIONS The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.
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Affiliation(s)
- Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Kira E. Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Alexander W. Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Danielle B. Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Jill Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Quebec, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - John P.A. Ioannidis
- Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA
| | | | - Dean McMillan
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - Scott B. Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Roy C. Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dickens H. Akena
- Department of Psychiatry, Makerere University College of Health Sciences, Kampala, Uganda
| | - Bruce Arroll
- Department of General Practice and Primary Health Care, University of Auckland, New Zealand
| | - Liat Ayalon
- Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel
| | - Hamid R. Baradaran
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
- Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, UK
| | - Murray Baron
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Anna Beraldi
- Kbo-Lech-Mangfall-Klinik Garmisch-Partenkirchen, Klinik für Psychiatrie, Psychotherapie & Psychosomatik, Lehrkrankenhaus der Technischen Universität München, Munich, Germany
| | - Charles H. Bombardier
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
| | - Peter Butterworth
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, The Australian National University, Canberra, Australia
- Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Melbourne, Australia
| | - Gregory Carter
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
| | - Marcos H. Chagas
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Juliana C. N. Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Asia Diabetes Foundation, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, Hong Kong Special Administrative Region, China
| | - Rushina Cholera
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Kerrie Clover
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
- Psycho-Oncology Service, Calvary Mater Newcastle, New South Wales, Australia
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, USA
| | | | - Jesse R. Fann
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Felix H. Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Germany
| | - Daniel Fung
- Department of Child & Adolescent Psychiatry, Institute of Mental Health, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | - Catherine G. Greeno
- School of Social Work, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Brian J. Hall
- Global and Community Mental Health Research Group, Department of Psychology, Faculty of Social Sciences, University of Macau, Macau Special Administrative Region, China
- Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Hegerl
- Department of Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt, German Depression Foundation, Frankfurt, Germany
| | - Leanne Hides
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia
| | - Stevan E. Hobfoll
- STAR-Stress, Anxiety, and Resilience Consultants, Chicago, Illinois, USA
| | - Marie Hudson
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Thomas Hyphantis
- Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Masatoshi Inagaki
- Department of Psychiatry, Faculty of Medicine, Shimane University, Shimane, Japan
| | - Khalida Ismail
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London Weston Education Centre, London, UK
| | - Nathalie Jetté
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mohammad E. Khamseh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Kim M. Kiely
- School of Psychology, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Yunxin Kwan
- Department of Psychological Medicine, Tan Tock Seng Hospital, Singapore
| | - Femke Lamers
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Shen-Ing Liu
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore
- Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, Mackay Medical College, Taipei, Taiwan
| | - Manote Lotrakul
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Sonia R. Loureiro
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Laura Marsh
- Baylor College of Medicine, Houston and Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Anthony McGuire
- Department of Nursing, St. Joseph's College, Standish, Maine, USA
| | - Sherina Mohd-Sidik
- Cancer Resource & Education Centre, and Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Tiago N. Munhoz
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Kumiko Muramatsu
- Department of Clinical Psychology, Graduate School of Niigata Seiryo University, Niigata, Japan
| | - Flávia L. Osório
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- National Institute of Science and Technology, Translational Medicine, Ribeirão Preto, Brazil
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Brian W. Pence
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Philippe Persoons
- Department of Adult Psychiatry, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Angelo Picardi
- Centre for Behavioural Sciences and Mental Health, Italian National Institute of Health, Rome, Italy
| | - Katrin Reuter
- Practice for Psychotherapy and Psycho-oncology, Freiburg, Germany
| | - Alasdair G. Rooney
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburg, Edinburgh, Scotland, UK
| | - Iná S. Santos
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Juwita Shaaban
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | - Adam Simning
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, USA
| | - Lesley Stafford
- Centre for Women's Mental Health, Royal Women's Hospital, Parkville, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Australia
| | - Sharon Sung
- Department of Child & Adolescent Psychiatry, Institute of Mental Health, Singapore
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore
| | | | - Alyna Turner
- School of Medicine and Public Health, University of Newcastle, New South Wales, Newcastle, Australia
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Henk C. van Weert
- Department of General Practice, Amsterdam Institute for General Practice and Public Health, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | | | - Mary A. Whooley
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
- Department of Medicine, Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Kirsty Winkley
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK
| | - Mitsuhiko Yamada
- Department of Neuropsychopharmacology, National Institute of Mental Health, National Center of Neurology and Psychiatry, Ogawa-Higashi, Kodaira, Tokyo, Japan
| | - Brett D. Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada
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9
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van Weert HC, de Wit NJ. [Cancer care calls for a more prominent role for general practitioners]. Ned Tijdschr Geneeskd 2019; 163:D3836. [PMID: 31187965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Increasing numbers of patients with cancer as well as treatment options call for a more prominent role for general practitioners in the oncology care chain. Late detection of some forms of cancer means that their prognosis has not sufficiently improved during the last 40 years. The use of risk models and diagnostic decision rules, integrated in the general practitioner's information system, might lead to earlier detection of cancer. New diagnostic tests and biomarkers can also contribute. General practitioners can support cancer patients when they have to make complicated treatment decisions. They can also provide (partial) aftercare and follow-up. Since most cancer patients prefer to spend the last phase of their lives at home, the general practitioner is the appropriate person to support these patients. Good palliative care requires personal support, medical expertise, and cooperation between caregivers. A more prominent role for general practitioners in cancer care will require investments in general practice and agreements within the regional care network.
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Affiliation(s)
- Henk C van Weert
- Amsterdam UMC, locatie AMC, afd. Huisartsgeneeskunde, Amsterdam
- Contact: H.C. van Weert
| | - Niek J de Wit
- UMC Utrecht, Julius Centrum voor Gezondheidswetenschappen en Eerstelijns Geneeskunde, Utrecht
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10
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Levis B, Benedetti A, Riehm KE, Saadat N, Levis AW, Azar M, Rice DB, Chiovitti MJ, Sanchez TA, Cuijpers P, Gilbody S, Ioannidis JPA, Kloda LA, McMillan D, Patten SB, Shrier I, Steele RJ, Ziegelstein RC, Akena DH, Arroll B, Ayalon L, Baradaran HR, Baron M, Beraldi A, Bombardier CH, Butterworth P, Carter G, Chagas MH, Chan JCN, Cholera R, Chowdhary N, Clover K, Conwell Y, de Man-van Ginkel JM, Delgadillo J, Fann JR, Fischer FH, Fischler B, Fung D, Gelaye B, Goodyear-Smith F, Greeno CG, Hall BJ, Hambridge J, Harrison PA, Hegerl U, Hides L, Hobfoll SE, Hudson M, Hyphantis T, Inagaki M, Isamail K, Jetté N, Khamseh ME, Kiely KM, Lamers F, Liu SI, Lotrakul M, Loureiro SR, Löwe B, Marsh L, McGuire A, Sidik SM, Munhoz TN, Muramatsu K, Osório FL, Patel V, Pence BW, Persoons P, Picardi A, Rooney AG, Santos IS, Shaaban J, Sidebottom A, Simning A, Stafford L, Sung S, Tan PLL, Turner A, van der Feltz-Cornelis CM, van Weert HC, Vöhringer PA, White J, Whooley MA, Winkley K, Yamada M, Zhang Y, Thombs BD. Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews. Br J Psychiatry 2018; 212:377-385. [PMID: 29717691 PMCID: PMC6415695 DOI: 10.1192/bjp.2018.54] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
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. METHOD Data 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. RESULTS A 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). CONCLUSIONS The 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.
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Affiliation(s)
- Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Andrea Benedetti
- Centre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, 5252 boul de Maisonneuve, Office/Workstation # 3D.59, Montréal, QC, H4A 3S5, Canada
| | - Kira E. Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Alexander W. Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Danielle B. Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Matthew J. Chiovitti
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Tatiana A. Sanchez
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences and Hull York Medical School, University of York, Heslington YO10 5DD, United Kingdom
| | | | - Lorie A. Kloda
- Concordia University, 1455, boul. de Maisonneuve Ouest, FB-802, Montréal, QC, H3G 1M8, Canada
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences and Hull York Medical School, University of York, Heslington YO10 5DD, United Kingdom
| | - Scott B. Patten
- Department of Community Health Sciences, 3rd Floor, TRW Building, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Ian Shrier
- Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine Rd, Montréal, QC, H3T 1E2, Canada
| | - Russell J. Steele
- Department of Mathematics and Statistics, McGill University, 805 Rue Sherbrooke O., Montreal, QC, H3A 0B9, Canada
| | - Roy C. Ziegelstein
- Johns Hopkins University School of Medicine, Miller Research Building, 733 N. Broadway, Suite 115, Baltimore, MD, 21205, USA
| | - Dickens H. Akena
- Department of Psychiatry, Makerere University College of Health Sciences, P.O.Box 7062 Kampala, Uganda
| | - Bruce Arroll
- Department of General Practice and Primary Health Care, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - Liat Ayalon
- Louis and Gabi Weisfeld School of Social Work, Ramat Gan, Bar Ilan University, 52900, Israel
| | - Hamid R. Baradaran
- Endocrinology and Metabolism Research Institute, Shariati Hospital Complex, North Kargar Avenue, Tehran, 14114-13137, Iran
| | - Murray Baron
- Jewish General Hospital, Suite A 725, 3755 Cote St Catherine Rd, Montréal, QC, H3T 1E2, Canada
| | - Anna Beraldi
- Auenstraße 6, D-82467 Garmisch-Partenkirchen, Germany
| | - Charles H. Bombardier
- Division of Clinical and Neuropsychology, Department of Rehabilitation Medicine, University of Washington, Box 359612, Harborview Medical Center, 325 9th Avenue, Seattle, WA, 98104, USA
| | - Peter Butterworth
- Centre for Mental Health, Level 4, 207 Bouverie St, The University of Melbourne, Victoria 3010, Australia
| | - Gregory Carter
- Locked Bag #7, Hunter Region Mail Centre, NSW 2310, Australia
| | - Marcos H. Chagas
- University of São Paulo, Av. Bandeirantes, 3900, 14048-900-Ribeirão Preto, SP, Brazil
| | - Juliana C. N. Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, Hong Kong
| | - Rushina Cholera
- UNC School of Medicine, Department of Pediatrics, CB# 7593, Chapel Hill, NC, 27599-7593, USA
| | - Neerja Chowdhary
- World Health Organization. Avenue Appia 20, 1211 Genève 27, Switzerland
| | - Kerrie Clover
- Psycho-oncology #51, Calvary Mater Newcastle, Platt St, Waratah NSW 2301, Australia
| | - Yeates Conwell
- University of Rochester Medical Center, 300 Crittenden Blvd., Rochester, NY, 14642, USA
| | - Janneke M. de Man-van Ginkel
- University Medical Center Utrecht, Internal mail no Str. 6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Jaime Delgadillo
- Clinical Psychology Unit, University of Sheffield, Cathedral Court, Floor F, 1 Vicar Lane, Sheffield, S1 1HD, United Kingdom
| | - Jesse R. Fann
- Department of Psychiatry & Behavioral Sciences, Univerisity of Washington, Box 356560, Seattle, WA 98195
| | - Felix H. Fischer
- Medizinische Klinik mit Schwerpunkt Psychosomatik, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10098 Berlin, Germany
| | | | - Daniel Fung
- Institute of Mental Health, 10 Buangkok View, 539747, Singapore
| | - Bizu Gelaye
- Department of Epidemiology, 677 Huntington Ave, Room 505F, Boston, MA, 02115, USA
| | - Felicity Goodyear-Smith
- Department of General Practice & Primary Health Care, University of Auckland, PB 92019, Auckland, 1142, New Zealand
| | - Catherine G. Greeno
- 2204 Cathedral of Learning, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA
| | - Brian J. Hall
- Department of Psychology, Faculty of Social Sciences, Humanities and Social Sciences Building E21-3040, University of Macau, E21 Avenida da Universidade, Taipa, Macau, China
| | | | - Patricia A. Harrison
- City of Minneapolis Health Department, 250 S. Fourth St., Room 510, Minneapolis, MN 55415, USA
| | - Ulrich Hegerl
- University of Leipzig, Department of Psychiatry and Psychotherapy, Semmelweisstrasse 10, 04103 Leipzig, Germany
| | - Leanne Hides
- School of Psychology, University of Queensland, St Lucia, Brisbane, Queensland, 4072, Australia
| | - Stevan E. Hobfoll
- 1645 W. Jackson Blvd, Suite 400, Dept of Behavioral Sciences, Rush University Medical Center, Chicago, IL, 60614, USA
| | - Marie Hudson
- Jewish General Hospital and Lady Davis Research Institute, 3755 Côte Ste-Catherine Rd, Room A725, Montréal, QC, H3T 1E2, Canada
| | - Thomas Hyphantis
- Department of Psychiatry, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina 451 10, Greece
| | - Masatoshi Inagaki
- Department of Neuropsychiatry, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Khalida Isamail
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 10 Cutcombe Road, London, SE5 9AF, United Kingdom
| | - Nathalie Jetté
- Department of Clinical Neurosciences, University of Calgary, 1403 29th Street NW, T2N 2T9, Canada
| | - Mohammad E. Khamseh
- Endocrinology and Metabolism Research Institute, Shariati Hospital Complex, North Kargar Avenue, Tehran, 14114-13137, Iran
| | - Kim M. Kiely
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Building 54 Mills Road, ACT 2601, Australia
| | - Femke Lamers
- VU University Medical Center, Department Psychiatry, A.J. Ernststraat 1187, room D2.14, 1081 HL Amsterdam, The Netherlands
| | - Shen-Ing Liu
- Department of Psychiatry, Mackay Memorial Hospital, No. 92, Section 2, Chung-Shan North Rd, Taipei, Taiwan
| | - Manote Lotrakul
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
| | - Sonia R. Loureiro
- Rua Tenente Catão Roxo, 2650, CEP 14051-140, Ribeirão Preto, SP, Brazil
| | - Bernd Löwe
- Universitätsklinikum Hamburg-Eppendorf, Institut und Poliklinik für Psychosomatische Medizin und Psychotherapie, Martinistr. 52, Gebäude O25, 20246 Hamburg, Germany
| | - Laura Marsh
- Mental Health Care Line, Michael E DeBakey VA Medical Center, Departments of Psychiatry and Neurology, Baylor College of Medicine, 2002 Holcombe Blvd, Houston, TX, 77030, USA
| | | | - Sherina Mohd Sidik
- Cancer Resource & Education Centre / Department of Psychiatry, Faculty of Medicine & Health Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
| | - Tiago N. Munhoz
- Depto Medicina Social, Programa Pós-graduação Epidemiologia, Universidade Federal de Pelotas, Rua Marechal Deodoro 1160, 3º piso, 96020-220 - Pelotas, RS, Brasil
| | - Kumiko Muramatsu
- Department of Clinical Psychology, Graduate School of Niigata Seiryo University, 1-5939, Suidocho, Chuo-ku, Niigata 951-8121, Japan
| | - Flávia L. Osório
- Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto - USP. Avenida dos Bandeirantes 3900- 3 andar- alaC. Ribeirão Preto - São Paulo - Brasil - CEP 14049-900
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA 02119, USA
| | - Brian W. Pence
- Department of Epidemiology, UNC-Chapel Hill, McGavran-Greenberg 2103C, CB#7435, 135 Dauer Dr, Chapel Hill NC 27599-7435, USA
| | - Philippe Persoons
- Katholieke Universiteit Leuven, Department of Neurosciences, Research Group Psychiatry, University Psychiatric Center KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Angelo Picardi
- Italian National Institute of Health, Centre for Behavioural Sciences and Mental Health, Viale Regina Elena 299, 00161 Rome, Italy
| | - Alasdair G. Rooney
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital Edinburgh, EH10 5HF, Scotland
| | - Iná S. Santos
- Depto Medicina Social, Programa Pós-graduação Epidemiologia, Universidade Federal de Pelotas, Rua Marechal Deodoro 1160, 3º piso 96020-220 - Pelotas, RS, Brasil
| | - Juwita Shaaban
- School of Medical Science, Health Campus Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Abbey Sidebottom
- Allina Health, 800 E 28th Street, MR 15521, Minneapolis, MN 55407-3799, USA
| | - Adam Simning
- Strong Behavioral Health, 300 Crittenden Blvd, Rochester, NY, 14642, USA
| | - Lesley Stafford
- Centre for Women’s Mental Health, The Royal Women’s Hospital, Locked Bag 300, Parkville Victoria 3052, Australia
| | - Sharon Sung
- Office of Clinical Sciences, Duke-NUS Medical School, 20 College Road, Level 6, 169856, Singapore
| | | | - Alyna Turner
- School of Medicine and Public Health, Faculty of Health, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia
| | | | - Henk C. van Weert
- Dpt. General Practice, Academic Medical Centre Amsterdam, Meibergdree 9, 1105 AZ Amsterdam, The Netherlands
| | | | - Jennifer White
- School of Primary and Allied Health Care, Faculty of Medicine, Nursing & Health Sciences, Monash University, Kingston Centre, 400 Warrigal Rd, Cheltenham Victoria 3192, Australia
| | - Mary A. Whooley
- Department of Veterans Affairs Medical Center, 4150 Clement Street (111A1), San Francisco, CA 94121, USA
| | - Kirsty Winkley
- King’s College London & Institute of Psychiatry, Psychology & Neuroscience, Weston Education Centre, London SE5 9RS, UK
| | - Mitsuhiko Yamada
- National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan
| | - Yuying Zhang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, Hong Kong
| | - Brett D. Thombs
- Room 302, Institute of Community and Family Psychiatry, Jewish General Hospital, 4333 Cote Ste Catherine Road, Montréal, QC, H3T 1E4, Canada
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11
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Medlock S, Eslami S, Askari M, Arts DL, van de Glind EM, Brouwer HJ, van Weert HC, de Rooij SE, Abu-Hanna A. For which clinical rules do doctors want decision support, and why? A survey of Dutch general practitioners. Health Informatics J 2017; 25:1076-1090. [PMID: 29148311 PMCID: PMC6769284 DOI: 10.1177/1460458217740407] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Despite the promise of decision support for improving care, alerts are often overridden or ignored. We evaluated Dutch general practitioners’ intention to accept decision support in a proposed implementation based on clinical rules regarding care for elderly patients, and their reasons for wanting or not wanting support. We developed a survey based on literature and structured interviews and distributed it to all doctors who would receive support in the proposed implementation (n = 43), of which 65 percent responded. The survey consisted of six questions for each of 20 clinical rules. Despite concerns about interruption, doctors tended to choose more interruptive forms of support. Doctors wanted support when they felt the rule represented minimal care, perceived a need to improve care, and felt responsible for the action and that they might forget to perform the action; doctors declined support due to feeling that it was unnecessary and due to concerns about interruption.
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Affiliation(s)
| | - Saeid Eslami
- Amsterdam Public Health Research Institute, The Netherlands; Mashhad University of Medical Sciences, The Islamic Republic of Iran
| | - Marjan Askari
- Amsterdam Public Health Research Institute, The Netherlands; Universiteit Utrecht, The Netherlands
| | - Derk L Arts
- Amsterdam Public Health Research Institute, The Netherlands; University of Amsterdam, The Netherlands
| | | | | | | | - Sophia E de Rooij
- University of Amsterdam, The Netherlands; University of Groningen, The Netherlands
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12
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van der Werf C, Hendrix A, Birnie E, Bots ML, Vink A, Bardai A, Blom MT, Bosch J, Bruins W, Das CK, Koster RW, Naujocks T, Schaap B, Tan HL, de Vos R, de Vries P, Woonink F, Doevendans PA, van Weert HC, Wilde AAM, Mosterd A, van Langen IM. Improving usual care after sudden death in the young with focus on inherited cardiac diseases (the CAREFUL study): a community-based intervention study. Europace 2015; 18:592-601. [PMID: 25833117 DOI: 10.1093/europace/euv059] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 02/11/2015] [Indexed: 01/25/2023] Open
Abstract
AIMS Inherited cardiac diseases play an important role in sudden death (SD) in the young. Autopsy and cardiogenetic evaluation of relatives of young SD victims identifies relatives at risk. We studied the usual care after SD in the young aimed at identifying inherited cardiac disease, and assessed the efficacy of two interventions to improve this usual care. METHODS AND RESULTS We conducted a community-based intervention study to increase autopsy rates of young SD victims aged 1-44 years and referral of their relatives to cardiogenetic clinics. In the Amsterdam study region, a 24/7 central telephone number and a website were available to inform general practitioners and coroners. In the Utrecht study region, they were informed by a letter and educational meetings. In two control regions usual care was monitored. Autopsy was performed in 169 of 390 registered SD cases (43.3%). Cardiogenetic evaluation of relatives was indicated in 296 of 390 cases (75.9%), but only 25 of 296 families (8.4%) attended a cardiogenetics clinic. Autopsy rates were 38.7% in the Amsterdam study region, 45.5% in the Utrecht study region, and 49.0% in the control regions. The proportion of families evaluated at cardiogenetics clinics in the Amsterdam study region, the Utrecht study region, and the control regions was 7.3, 9.9, and 8.8%, respectively. CONCLUSIONS The autopsy rate in young SD cases in the Netherlands is low and few families undergo cardiogenetic evaluation to detect inherited cardiac diseases. Two different interventions did not improve this suboptimal situation substantially.
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Affiliation(s)
- Christian van der Werf
- Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Anneke Hendrix
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Erwin Birnie
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Aryan Vink
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Abdennasser Bardai
- Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Marieke T Blom
- Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Jan Bosch
- Regional Ambulance Service Hollands-Midden, Leiden, The Netherlands
| | - Wendy Bruins
- Regional Ambulance Service Utrecht, Utrecht, The Netherlands
| | - C Kees Das
- Department of Forensic Medicine, Amsterdam Public Health Service, Amsterdam, The Netherlands
| | - Rudolph W Koster
- Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Tatjana Naujocks
- Department of Forensic Medicine, Public Health Service of Groningen, Groningen, The Netherlands
| | - Balthasar Schaap
- Department of Forensic Medicine, Public Health Service Hollands Noorden, Schagen, The Netherlands
| | - Hanno L Tan
- Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Ronald de Vos
- Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Philip de Vries
- Department of Forensic Medicine, Public Health Service Hollands Midden, Leiden, The Netherlands
| | - Frits Woonink
- Department of Forensic Medicine, Public Health Service Midden-Nederland, Zeist, The Netherlands
| | - Pieter A Doevendans
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Henk C van Weert
- Department of General Practice, Academic Medical Center, Amsterdam, The Netherlands
| | - Arthur A M Wilde
- Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Arend Mosterd
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands Department of Cardiology, Meander Medical Center, Amersfoort, The Netherlands
| | - Irene M van Langen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Howick J, Cals JWL, Jones C, Price CP, Plüddemann A, Heneghan C, Berger MY, Buntinx F, Hickner J, Pace W, Badrick T, Van den Bruel A, Laurence C, van Weert HC, van Severen E, Parrella A, Thompson M. Current and future use of point-of-care tests in primary care: an international survey in Australia, Belgium, The Netherlands, the UK and the USA. BMJ Open 2014; 4:e005611. [PMID: 25107438 PMCID: PMC4127935 DOI: 10.1136/bmjopen-2014-005611] [Citation(s) in RCA: 111] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVE Despite the growing number of point-of-care (POC) tests available, little research has assessed primary care clinician need for such tests. We therefore aimed to determine which POC tests they actually use or would like to use (if not currently available in their practice). DESIGN Cross-sectional survey. SETTING Primary care in Australia, Belgium (Flanders region only), the Netherlands, the UK and the USA. PARTICIPANTS Primary care doctors (general practitioners, family physicians). MAIN MEASURES We asked respondents to (1) identify conditions for which a POC test could help inform diagnosis, (2) from a list of tests provided: evaluate which POC tests they currently use (and how frequently) and (3) determine which tests (from that same list) they would like to use in the future (and how frequently). RESULTS 2770 primary care clinicians across five countries responded. Respondents in all countries wanted POC tests to help them diagnose acute conditions (infections, acute cardiac disease, pulmonary embolism/deep vein thrombosis), and some chronic conditions (diabetes, anaemia). Based on the list of POC tests provided, the most common tests currently used were: urine pregnancy, urine leucocytes or nitrite and blood glucose. The most commonly reported tests respondents expressed a wish to use in the future were: D-dimer, troponin and chlamydia. The UK and the USA reported a higher actual and desired use for POC tests than Australia, Belgium and the Netherlands. Our limited data suggest (but do not confirm) representativeness. CONCLUSIONS Primary care clinicians in all five countries expressed a desire for POC tests to help them diagnose a range of acute and chronic conditions. Rates of current reported use and desired future use were generally high for a small selection of POC tests, but varied across countries. Future research is warranted to explore how specific POC tests might improve primary care.
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Affiliation(s)
- Jeremy Howick
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Jochen W L Cals
- Deptartment of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | - Caroline Jones
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Christopher P Price
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Annette Plüddemann
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Carl Heneghan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Marjolein Y Berger
- Department of General Practice, University of Groningen, Groningen, The Netherlands
| | - Frank Buntinx
- Deptartment of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
- Academic Center for General Practice, Leuven, Belgium
| | - John Hickner
- Family Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Wilson Pace
- Department of Family Medicine, University of Colorado, Aurora, Colorado, USA
| | - Tony Badrick
- Faculty of Health Sciences and Medicine, Bond University, Queensland, Australia
| | - Ann Van den Bruel
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Caroline Laurence
- Discipline of General Practice, The University of Adelaide, Adelaide, South Australia, Australia
| | - Henk C van Weert
- Department of General Practice, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Adriana Parrella
- Discipline of General Practice, The University of Adelaide, Adelaide, South Australia, Australia
| | - Matthew Thompson
- Department of Family Medicine, University of Washington, Seattle, Washington, USA
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Smits FT, Brouwer HJ, Zwinderman AH, van den Akker M, van Steenkiste B, Mohrs J, Schene AH, van Weert HC, ter Riet G. Predictability of persistent frequent attendance in primary care: a temporal and geographical validation study. PLoS One 2013; 8:e73125. [PMID: 24039870 PMCID: PMC3764153 DOI: 10.1371/journal.pone.0073125] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Accepted: 07/17/2013] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Frequent attenders are patients who visit their general practitioner exceptionally frequently. Frequent attendance is usually transitory, but some frequent attenders become persistent. Clinically, prediction of persistent frequent attendance is useful to target treatment at underlying diseases or problems. Scientifically it is useful for the selection of high-risk populations for trials. We previously developed a model to predict which frequent attenders become persistent. AIM To validate an existing prediction model for persistent frequent attendance that uses information solely from General Practitioners' electronic medical records. METHODS We applied the existing model (N = 3,045, 2003-2005) to a later time frame (2009-2011) in the original derivation network (N = 4,032, temporal validation) and to patients of another network (SMILE; 2007-2009, N = 5,462, temporal and geographical validation). Model improvement was studied by adding three new predictors (presence of medically unexplained problems, prescriptions of psychoactive drugs and antibiotics). Finally, we derived a model on the three data sets combined (N = 12,539). We expressed discrimination using histograms of the predicted values and the concordance-statistic (c-statistic) and calibration using the calibration slope (1 = ideal) and Hosmer-Lemeshow tests. RESULTS The existing model (c-statistic 0.67) discriminated moderately with predicted values between 7.5 and 50 percent and c-statistics of 0.62 and 0.63, for validation in the original network and SMILE network, respectively. Calibration (0.99 originally) was better in SMILE than in the original network (slopes 0.84 and 0.65, respectively). Adding information on the three new predictors did not importantly improve the model (c-statistics 0.64 and 0.63, respectively). Performance of the model based on the combined data was similar (c-statistic 0.65). CONCLUSION This external validation study showed that persistent frequent attenders can be prospectively identified moderately well using data solely from patients' electronic medical records.
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Affiliation(s)
- Frans T. Smits
- Department of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Henk J. Brouwer
- Department of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Aeilko H. Zwinderman
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Marjan van den Akker
- Department of General Practice, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
- Department of General Practice, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Ben van Steenkiste
- Department of General Practice, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | - Jacob Mohrs
- Department of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Aart H. Schene
- Department of Psychiatry, Academic Medical Center; University of Amsterdam, Amsterdam, The Netherlands
| | - Henk C. van Weert
- Department of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Gerben ter Riet
- Department of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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Lucassen WA, Beenen LF, Büller HR, Erkens PM, Schaefer-Prokop CM, van den Berk IA, van Weert HC. Concerns in using multi-detector computed tomography for diagnosing pulmonary embolism in daily practice. A cross-sectional analysis using expert opinion as reference standard. Thromb Res 2013; 131:145-9. [DOI: 10.1016/j.thromres.2012.11.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2012] [Revised: 11/19/2012] [Accepted: 11/27/2012] [Indexed: 10/27/2022]
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Medlock S, Eslami S, Askari M, Brouwer HJ, van Weert HC, de Rooij SE, Abu-Hanna A. Attitudes and experience of Dutch general practitioners regarding computerized clinical decision support. Stud Health Technol Inform 2013; 186:56-60. [PMID: 23542967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
UNLABELLED Dutch general practices have a high adoption rate for computerized patient records and clinical decision support. We sought to measure the attitudes and experience of Dutch general practitioners towards clinical decision support. METHODS A preliminary survey was created based on questions from published surveys, modified with the results of interviews. The final web-based survey was administered to 43 general practitioners in a practice area where a decision support implementation is planned. RESULTS Thirty general practitioners (70%) completed the survey. Most felt that decision support is a good idea (23/30), although fewer reported positive experience with decision support (10/30). Participants were supportive of rules and guidelines, but commonly had the sense that there were too many alerts. CONCLUSION Dutch clinicians are positive about decision support, but future efforts should try to reduce the perception of overload, for example by ensuring that alerts are relevant and choosing less interruptive forms of notification for less severe alerts.
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Affiliation(s)
- Stephanie Medlock
- Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands.
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Abstract
BACKGROUND Clinical probability assessment is combined with d-dimer testing to exclude pulmonary embolism (PE). PURPOSE To compare the test characteristics of gestalt (a physician's unstructured estimate) and clinical decision rules for evaluating adults with suspected PE and assess the failure rate of gestalt and rules when used in combination with d-dimer testing. DATA SOURCES Articles in MEDLINE and EMBASE in English, French, German, Italian, Spanish, or Dutch that were published between 1966 and June 2011. STUDY SELECTION 3 reviewers, working in pairs, selected prospective studies in consecutive patients suspected of having PE. Studies had to estimate the probability of PE by using gestalt or a decision rule and verify the diagnosis by using an appropriate reference standard. DATA EXTRACTION Data on study characteristics, test performance, and prevalence were extracted. Reviewers constructed 2 × 2 tables and assessed the methodological quality of the studies. DATA SYNTHESIS 52 studies, comprising 55 268 patients, were selected. Meta-analysis was performed on studies that used gestalt (15 studies; sensitivity, 0.85; specificity, 0.51), the Wells rule with a cutoff value less than 2 (19 studies; sensitivity, 0.84; specificity, 0.58) or 4 or less (11 studies; sensitivity, 0.60; specificity, 0.80), the Geneva rule (5 studies; sensitivity, 0.84; specificity, 0.50), and the revised Geneva rule (4 studies; sensitivity, 0.91; specificity, 0.37). An increased prevalence of PE was associated with higher sensitivity and lower specificity. Combining a decision rule or gestalt with d-dimer testing seemed safe for all strategies, except when the less-sensitive Wells rule (cutoff value ≤4) was combined with less-sensitive qualitative d-dimer testing. LIMITATIONS Studies had substantial heterogeneity due to prevalence of PE and differences in threshold. Many studies (63%) had potential bias due to differential disease verification. CONCLUSION Clinical decision rules and gestalt can safely exclude PE when combined with sensitive d-dimer testing. The authors recommend standardized rules because gestalt has lower specificity, but the choice of a particular rule and d-dimer test depend on both prevalence and setting.
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Affiliation(s)
- Wim Lucassen
- Academic Medical Center, Amsterdam, University Medical Center Utrecht, The Netherlands.
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Maarsingh OR, Dros J, van der Windt DA, ter Riet G, Schellevis FG, van Weert HC, van der Horst HE. Diagnostic indicators of anxiety and depression in older dizzy patients in primary care. J Geriatr Psychiatry Neurol 2011; 24:98-107. [PMID: 21546650 DOI: 10.1177/0891988711405332] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Dizzy patients with both psychological and physical symptoms tend to have high levels of disability and are at risk of remaining symptomatic and disabled. The objective of this study was to develop a prediction model for the presence of anxiety and/or depression in older dizzy patients in primary care. METHODS We performed a cross-sectional study among 415 older patients consulting their primary care physician for persistent dizziness. Participants underwent a standardized, comprehensive evaluation and completed self-administered questionnaires regarding anxiety and depression (PRIME-MD Patient Health Questionnaire [PHQ]) and dizziness-related disability (Dizziness Handicap Inventory). To determine the diagnostic indicators of anxiety and/or depression, we used multiple logistic regression analysis with ''presence of Panic Disorder, Other Anxiety Disorder, or Major Depressive Disorder'' as dependent variable. Potential diagnostic indicators included dizziness-related disability, patient characteristics (age, sex, history of anxiety, and history of depression), and dizziness characteristics (description of dizziness, provoking circumstances, associated symptoms, onset, frequency, duration, and avoidance of activities because of dizziness). RESULTS According to the PHQ, an anxiety and/or depressive disorder was present in 90 patients (22%), of whom 35 reported no medical history of anxiety or depression, nor current pharmacological treatment for these disorders. In the final model, dizziness-related disability, a history of depression, and accompanying fear were associated with an increased odd of anxiety and/or depression, whereas tinnitus and rotational dizziness were associated with a decreased odd of anxiety and/or depression. The model showed good calibration (Hosmer-Lemeshow P value of .46) and discrimination (adjusted area under the receiver operating characteristic curve [AUC] after bootstrapping of .82). CONCLUSIONS Primary care physicians should consider the existence of anxiety and depression in older patients presenting with dizziness. After external validation, our model may contribute to better recognition and hence better management of anxiety and depression in older patients with dizziness in primary care.
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Affiliation(s)
- Otto R Maarsingh
- Department of Family Practice and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, Netherlands.
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19
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Baas KD, Cramer AOJ, Koeter MWJ, van de Lisdonk EH, van Weert HC, Schene AH. Measurement invariance with respect to ethnicity of the Patient Health Questionnaire-9 (PHQ-9). J Affect Disord 2011; 129:229-35. [PMID: 20888647 DOI: 10.1016/j.jad.2010.08.026] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2010] [Revised: 08/25/2010] [Accepted: 08/26/2010] [Indexed: 11/28/2022]
Abstract
BACKGROUND The Patient Health Questionnaire-9 (PHQ-9) has been widely used in research and clinical settings. To be able to attribute differences in PHQ-9 scores between groups with different cultural backgrounds to differences in the level of depression, the instrument has to possess measurement invariance. METHODS Data from the Apollo-D study were used. We used two strongly contrasting cultural groups (n=1772). Measurement invariance was assessed by comparing four categorical single factor models with an increasing number of restrictions, representing an increasingly stronger measurement invariance assumption. RESULTS The PHQ-9 was measurement invariant for ethnicity in women and partially measurement invariant for ethnicity in men. The item 'psychomotor problems' seemed to be culturally biased in the Surinam Dutch males. It had a higher loading and threshold compared to Dutch males. LIMITATIONS The sample is restricted to high risk primary care patients, we did not include a gold standard measure of depression and the analyses pertain to a single cross cultural comparison. CONCLUSIONS The observed higher total depression score for females in the Surinam Dutch group can be attributed to a true difference in the latent trait depression. For Surinam Dutch and Dutch men some caution is warranted when comparing results obtained with the PHQ-9. In the former group the scores may be biased slightly downward. Future research is needed to examine how the item 'psychomotor problems' performs in different populations. These findings highlight the necessity of establishing measurement invariance before drawing conclusions based on observed scores.
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Affiliation(s)
- Kim D Baas
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
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Baas KD, Koeter MWJ, van Weert HC, Lucassen P, Bockting CLH, Wittkampf KA, Schene AH. Brief cognitive behavioral therapy compared to general practitioners care for depression in primary care: a randomized trial. Trials 2010; 11:96. [PMID: 20939917 PMCID: PMC2964697 DOI: 10.1186/1745-6215-11-96] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2010] [Accepted: 10/12/2010] [Indexed: 11/10/2022] Open
Abstract
Background Depressive disorders are highly prevalent in primary care (PC) and are associated with considerable functional impairment and increased health care use. Research has shown that many patients prefer psychological treatments to pharmacotherapy, however, it remains unclear which treatment is most optimal for depressive patients in primary care. Methods/Design A randomized, multi-centre trial involving two intervention groups: one receiving brief cognitive behavioral therapy and the other receiving general practitioner care. General practitioners from 109 General Practices in Nijmegen and Amsterdam (The Netherlands) will be asked to include patients aged between 18-70 years presenting with depressive symptomatology, who do not receive an active treatment for their depressive complaints. Patients will be telephonically assessed with the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) to ascertain study eligibility. Eligible patients will be randomized to one of two treatment conditions: either 8 sessions of cognitive behavioral therapy by a first line psychologist or general practitioner's care according to The Dutch College of General Practitioners Practice Guideline (NHG- standaard). Baseline and follow-up assessments are scheduled at 0, 6, 12 and 52 weeks following the start of the intervention. Primary outcome will be measured with the Hamilton Depression Rating Scale-17 (HDRS-17) and the Patient Health Questionnaire-9 (PHQ-9). Outcomes will be analyzed on an intention to treat basis. Trial Registration ISRCTN65811640
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Affiliation(s)
- Kim D Baas
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
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22
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Maarsingh OR, Dros J, Schellevis FG, van Weert HC, van der Windt DA, Riet GT, van der Horst HE. Causes of persistent dizziness in elderly patients in primary care. Ann Fam Med 2010; 8:196-205. [PMID: 20458102 PMCID: PMC2866716 DOI: 10.1370/afm.1116] [Citation(s) in RCA: 84] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2009] [Revised: 11/24/2009] [Accepted: 12/03/2009] [Indexed: 12/15/2022] Open
Abstract
PURPOSE Although dizzy patients are predominantly seen in primary care, most diagnostic studies on dizziness have been performed among patients in secondary or tertiary care. Our objective was to describe subtypes of dizziness in elderly patients in primary care and to assess contributory causes of dizziness. METHODS We performed a cross-sectional diagnostic study among elderly patients in the Netherlands consulting their family physician for persistent dizziness. All patients underwent a comprehensive evaluation according to a set of diagnostic tests that were developed during an international Delphi procedure. Data for each patient were independently reviewed by a panel consisting of a family physician, a geriatrician, and a nursing home physician, which resulted in major and minor contributory causes of dizziness. RESULTS From June 2006 to January 2008, we included 417 patients aged 65 to 95 years. Presyncope was the most common dizziness subtype (69%). Forty-four percent of the patients were assigned more than 1 dizziness subtype. Cardiovascular disease was considered to be the most common major contributory cause of dizziness (57%), followed by peripheral vestibular disease (14%), and psychiatric illness (10%). An adverse drug effect was considered to be the most common minor contributory cause of dizziness (23%). Sixty-two percent of the patients were assigned more than 1 contributory cause of dizziness. CONCLUSIONS Contrary to most previous studies, cardiovascular disease was found to be the most common major cause of dizziness in elderly patients in primary care. In one-quarter of all patients an adverse drug effect was considered to be a contributory cause of dizziness, which is much higher than reported in previous studies.
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Affiliation(s)
- Otto R. Maarsingh
- Department of Family Practice and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Jacquelien Dros
- Department of Family Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - François G. Schellevis
- Department of Family Practice and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
- NIVEL, The Netherlands Institute for Health Services Research, Utrecht, The Netherlands
| | - Henk C. van Weert
- Department of Family Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Danielle A. van der Windt
- Department of Family Practice and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
- Primary Care Sciences Research Centre, Keele University, Keele, Staffordshire, England
| | - Gerben ter Riet
- Department of Family Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Henriette E. van der Horst
- Department of Family Practice and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
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Maarsingh OR, Dros J, Schellevis FG, van Weert HC, Bindels PJ, Horst HEVD. Dizziness reported by elderly patients in family practice: prevalence, incidence, and clinical characteristics. BMC Fam Pract 2010; 11:2. [PMID: 20064231 PMCID: PMC2817676 DOI: 10.1186/1471-2296-11-2] [Citation(s) in RCA: 80] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2009] [Accepted: 01/11/2010] [Indexed: 11/22/2022]
Abstract
Background Although dizziness in elderly patients is very common in family practice, most prevalence studies on dizziness are community-based and include a study population that is not representative of family practice. The aim of this study was to investigate the prevalence and incidence of dizziness reported by elderly patients in family practice, to describe their final diagnoses as recorded by the family physician, and to compare the clinical characteristics of dizzy patients with those of non-dizzy patients. Methods Data were obtained from the Second Dutch National Survey of General Practice, a prospective registration study which took place over a 12-month period in 2001. We developed a search strategy consisting of 15 truncated search terms (based on Dutch synonyms for dizziness), and identified all patients aged 65 or older who visited their family physician because of dizziness (N = 3,990). We used the mid-time population as denominator to calculate the prevalence and incidence, and for group comparisons we used the Student's t and Chi-square test, and logistic regression analysis. Results The one-year prevalence of dizziness in family practice in patients aged 65 or older was 8.3%, it was higher in women than in men, and it increased with age. In patients aged 85 or older the prevalence was similar for men and women. The incidence of dizziness was 47.1 per 1000 person-years. For 39% of the dizzy patients the family physicians did not specify a diagnosis, and recorded a symptom diagnosis as the final diagnosis. Living alone, lower level of education, pre-existing cerebrovascular disease, and pre-existing hypertension were independently associated with dizziness. Conclusions Dizziness in family practice patients increases with age. It is more common in women than in men, but this gender difference disappears in the very old. Because a large proportion of dizzy elderly patients in family practice remains undiagnosed, it would be worthwhile to carry out more diagnostic research on dizziness in a family practice setting.
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Affiliation(s)
- Otto R Maarsingh
- Department of Family Practice and Institute for Research in Extramural Medicine, VU University Medical Center, Amsterdam, The Netherlands.
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van Doormaal FF, Atalay S, Brouwer HJ, van der Velde EF, Büller HR, van Weert HC. Idiopathic superficial thrombophlebitis and the incidence of cancer in primary care patients. Ann Fam Med 2010; 8:47-50. [PMID: 20065278 PMCID: PMC2807388 DOI: 10.1370/afm.1058] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
PURPOSE The association of spontaneous venous thromboembolism with occult malignancy is well established. Less clear is the incidence of subsequent cancer in patients with superficial thrombophlebitis. We wanted to determine the incidence of cancer after an episode of spontaneous superficial thrombophlebitis in a large general practice population. METHODS The objective of this study was to assess the incidence of newly diagnosed malignancies in patients within 2 years after the diagnosis of a spontaneous episode of superficial thrombophlebitis and to compare this incidence with nonexposed matched control patients and the Dutch population. The patients and their controls were identified by a search in the electronic patient records of 5 primary health care centers in Amsterdam, the Netherlands. A standardized morbidity ratio was calculated using data of the Dutch cancer registry. RESULTS A total number of 277 patients with superficial thrombophlebitis were identified, of which 250 patients had no cancer at study entry. In 5 of these 250 patients (2%; 95% confidence interval [CI], 1%-5%), a new malignancy was diagnosed within 2 years after their superficial thrombophlebitis compared with 2% (95% CI, 1%-4%) in the control group. The standardized morbidity ratio was 1.1 (95% CI, 0.5-2.7). A recurrent episode of superficial thrombophlebitis was observed in 18 of the 250 patients, and in 1 patient cancer was diagnosed within 24 months after the first episode of superficial thrombophlebitis. CONCLUSION We conclude that a single episode of unprovoked superficial thrombophlebitis diagnosed by a family physician is not associated with an increased risk of subsequent cancer.
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Abstract
PURPOSE We wanted to summarize evidence about the diagnostic accuracy of the 5.07/10-g monofilament test in peripheral neuropathy. METHODS We conducted a systematic review of studies in which the accuracy of the 5.07/10-g monofilament was evaluated to detect peripheral neuropathy of any cause using nerve conduction as reference standard. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool. RESULTS We reviewed 173 titles and abstracts of articles to identify 54 potentially eligible studies, of which 3 were finally selected for data synthesis. All studies were limited to patients with diabetes mellitus and showed limitations according to the QUADAS tool. Sensitivity ranged from 41% to 93% and specificity ranged from 68% to 100%. Because of the heterogenous nature of the studies, a meta-analysis could not be accomplished. CONCLUSIONS Despite the frequent use of monofilament testing, little can be said about the test accuracy for detecting neuropathy in feet without visible ulcers. Optimal test application and defining a threshold should have priority in evaluating monofilament testing, as this test is advocated in many clinical guidelines. Accordingly, we do not recommend the sole use of monofilament testing to diagnose peripheral neuropathy.
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Affiliation(s)
- Jacquelien Dros
- Department of Family Medicine, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands.
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Bröker LE, Hurenkamp GJB, ter Riet G, Schellevis FG, Grundmeijer HG, van Weert HC. Upper gastrointestinal symptoms, psychosocial co-morbidity and health care seeking in general practice: population based case control study. BMC Fam Pract 2009; 10:63. [PMID: 19740413 PMCID: PMC2749014 DOI: 10.1186/1471-2296-10-63] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/13/2009] [Accepted: 09/09/2009] [Indexed: 01/14/2023]
Abstract
BACKGROUND The pathophysiology of upper gastrointestinal (GI) symptoms is still poorly understood. Psychological symptoms were found to be more common in patients with functional gastrointestinal complaints, but it is debated whether they are primarily linked to GI symptoms or rather represent motivations for health-care seeking. Purpose of our study was to compare co-morbidity, in particular psychological and social problems, between patients with and without upper GI symptoms. In addition, we investigated whether the prevalence of psychological and social problems is part of a broader pattern of illness related health care use. METHODS Population based case control study based on the second Dutch National Survey of general practice (conducted in 2001). Cases (adults visiting their primary care physician (PCP) with upper GI symptoms) and controls (individuals not having any of these complaints), matched for gender, age, PCP-practice and ethnicity were compared. Main outcome measures were contact frequency, prevalence of somatic as well as psychosocial diagnoses, prescription rate of (psycho)pharmacological agents, and referral rates. Data were analyzed using odds ratios, the Chi square test as well as multivariable logistic regression analysis. RESULTS Data from 13,389 patients with upper GI symptoms and 13,389 control patients were analyzed. Patients with upper GI symptoms visited their PCP twice as frequently as controls (8.6 vs 4.4 times/year). Patients with upper GI symptoms presented not only more psychological and social problems, but also more other health problems to their PCP (odds ratios (ORs) ranging from 1.37 to 3.45). Patients with upper GI symptoms more frequently used drugs of any ATC-class (ORs ranging from 1.39 to 2.90), including psychotropic agents. The observed differences were less pronounced when we adjusted for non-attending control patients. In multivariate regression analysis, contact frequency and not psychological or social co-morbidity was strongest associated with patients suffering from upper GI symptoms. CONCLUSION Patients with upper GI symptoms visit their PCP more frequently for problems of any organ system, including psychosocial problems. The relationship between upper GI symptoms and psychological problems is equivocal and may reflect increased health care demands in general.
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Affiliation(s)
- Linda E Bröker
- Department of General Practice, Academic Medical Center, University of Amsterdam, 1100 DE Amsterdam, The Netherlands
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Eminović N, de Keizer NF, Wyatt JC, ter Riet G, Peek N, van Weert HC, Bruijnzeel-Koomen CA, Bindels PJE. Teledermatologic Consultation and Reduction in Referrals to Dermatologists. ACTA ACUST UNITED AC 2009; 145:558-64. [DOI: 10.1001/archdermatol.2009.44] [Citation(s) in RCA: 70] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Baas KD, Wittkampf KA, van Weert HC, Lucassen P, Huyser J, van den Hoogen H, van de Lisdonk E, Bindels PE, Bockting CL, Ruhé HG, Schene AH. Screening for depression in high-risk groups: prospective cohort study in general practice. Br J Psychiatry 2009; 194:399-403. [PMID: 19407268 DOI: 10.1192/bjp.bp.107.046052] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Currently only about half of the people who have major depressive disorder are detected during regular health care. Screening in high-risk groups might be a possible solution. AIMS To evaluate the effectiveness of selective screening for major depressive disorder in three high-risk groups in primary care: people with mental health problems, people with unexplained somatic complaints and people who frequently attend their general practitioner. METHOD Prospective cohort study among 2005 people in high-risk groups in three health centres in The Netherlands. RESULTS Of the 2005 people identified, 1687 were invited for screening and of these 780 participated. Screening disclosed 71 people with major depressive disorder: 36 (50.7%) already received treatment, 14 (19.7%) refused treatment and 4 individuals did not show up for an appointment. As a final result of the screening, 17 individuals (1% of 1687) started treatment for major depressive disorder. CONCLUSIONS Screening for depression in high-risk populations does not seem to be effective, mainly because of the low rates of treatment initiation, even if treatment is freely and easily accessible.
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Affiliation(s)
- Kim D Baas
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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Maarsingh OR, Dros J, van Weert HC, Schellevis FG, Bindels PJ, van der Horst HE. Development of a diagnostic protocol for dizziness in elderly patients in general practice: a Delphi procedure. BMC Fam Pract 2009; 10:12. [PMID: 19200395 PMCID: PMC2660288 DOI: 10.1186/1471-2296-10-12] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2008] [Accepted: 02/07/2009] [Indexed: 03/06/2023]
Abstract
Background Dizziness in general practice is very common, especially in elderly patients. The empirical evidence for diagnostic tests in the evaluation of dizziness is scarce. Aim of our study was to determine which set of diagnostic tests should be part of a diagnostic protocol for evaluating dizziness in elderly patients in general practice. Methods We conducted a Delphi procedure with a panel of 16 national and international experts of all relevant medical specialities in the field of dizziness. A selection of 36 diagnostic tests, based on a systematic review and practice guidelines, was presented to the panel. Each test was described extensively, and data on test characteristics and methodological quality (assessed with the Quality Assessment of Diagnostic Accuracy Studies, QUADAS) were presented. The threshold for in- or exclusion of a diagnostic test was set at an agreement of 70%. Results During three rounds 21 diagnostic tests were selected, concerning patient history (4 items), physical examination (11 items), and additional tests (6 items). Five tests were excluded, although they are recommended by existing practice guidelines on dizziness. Two tests were included, although several practice guidelines question their diagnostic value. Two more tests were included that have never been recommended by practice guidelines on dizziness. Conclusion In this study we successfully combined empirical evidence with expert opinion for the development of a set of diagnostic tests for evaluating dizziness in elderly patients. This comprehensive set of tests will be evaluated in a cross-sectional diagnostic study.
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Affiliation(s)
- Otto R Maarsingh
- Department of General Practice and Institute for Research in Extramural Medicine, VU University Medical Center, Amsterdam, The Netherlands.
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Wittkampf KA, Naeije L, Schene AH, Huyser J, van Weert HC. Diagnostic accuracy of the mood module of the Patient Health Questionnaire: a systematic review. Gen Hosp Psychiatry 2007; 29:388-95. [PMID: 17888804 DOI: 10.1016/j.genhosppsych.2007.06.004] [Citation(s) in RCA: 339] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2007] [Revised: 06/12/2007] [Accepted: 06/12/2007] [Indexed: 10/22/2022]
Abstract
OBJECTIVE The nine-item mood module of the Patient Health Questionnaire (PHQ-9) was developed to screen and to diagnose patients in primary care with depressive disorders. We systematically reviewed the psychometric literature on the PHQ-9 and performed a meta-analysis to ascertain its summary sensitivity and specificity. METHODS EMBASE, PubMed and PsycINFO were used to search literature up to July 2006. Studies were included if (1) they investigated the diagnostic accuracy of the PHQ-9 and (2) the PHQ-9 had been compared with a reference test. The quality of the studies was appraised using the Quality Assessment of Diagnostic Accuracy Studies. We calculated sensitivity, specificity and confidence intervals for each included study. We used the random effects model to calculate the summary sensitivity and specificity. RESULTS We found a sensitivity of 0.77 (0.71-0.84) and a specificity of 0.94 (0.90-0.97) for the PHQ-9. The positive predictive value in an unselected primary care population was 59%, which increased to 85-90% when the prior probability increased to 30-40%. CONCLUSION In primary care, the PHQ-9 is a valid diagnostic tool if used in selected subgroups of patients with a high prevalence of depressive disorder.
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Affiliation(s)
- Karin A Wittkampf
- Department of Psychiatry, Programme for Mood Disorders, Academic Medical Center, University of Amsterdam, Tafelbergweg 25, 1105 BC Amsterdam, The Netherlands.
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