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Oliveira R, Monteiro-Soares M, Guerreiro JP, Pereira R, Teixeira-Rodrigues A. Estimating Type 2 Diabetes Prevalence: A Model of Drug Consumption Data. PHARMACY 2024; 12:18. [PMID: 38392925 PMCID: PMC10892415 DOI: 10.3390/pharmacy12010018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/15/2024] [Accepted: 01/19/2024] [Indexed: 02/25/2024] Open
Abstract
Observational, cross-sectional prevalence studies are costly and time-consuming. The development of indirect methods estimating prevalence used to obtain faster, less-expensive, and more robust results would be an advantage for several healthcare applications. This study aimed to use the drug dispensing data from community pharmacies to estimate the prevalence of Type 2 Diabetes mellitus (T2DM) in the Portuguese population. A cross-sectional study was conducted using a database of dispensed medicines with an indication for Diabetes mellitus in 2018 and 2021, stratified by geographic region. The methodology was based on a sequential method of acquiring prevalence estimates obtained through exposure to medicines using the daily doses defined per thousand inhabitants per day and adjusted to the rate of adherence to therapy, prescription patterns, and concomitance of antidiabetic drugs. The estimated overall T2DM prevalence in 2018 was 13.9%, and it was 14.2% for 2021. The results show the increased consumption of antidiabetic drugs, with fixed-dose combination antidiabetics and new antidiabetics being particularly important in 2021. This work allowed for the development of a model to obtain the estimated prevalence of T2DM based on drug consumption, using a simple, fast, and robust method that is in line with the available evidence. However, with the recent expanding indications for new antidiabetics, the inclusion of further data in the model needs to be studied.
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Affiliation(s)
- Rita Oliveira
- FP-BHS—Biomedical and Health Sciences Research Unit, FFP-I3ID—Instituto de Investigação, Inovação e Desenvolvimento, Faculdade de Ciências da Saúde, Universidade Fernando Pessoa, Rua Carlos da Maia 296, 4200-150 Porto, Portugal
- UCIBIO—Applied Molecular Biosciences Unit, MedTech, Laboratory of Pharmaceutical Technology, Department of Drug Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo de Ferreira 228, 4050-313 Porto, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo de Ferreira 228, 4050-313 Porto, Portugal
- Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Matilde Monteiro-Soares
- CINTESIS—Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, 4050-313 Porto, Portugal;
- MEDCIDS—Departamento de Medicina da Comunidade Informação e Decisão em Saúde, Faculty of Medicine, University of Porto, 4050-313 Porto, Portugal
- Portuguese Red Cross Health School Lisbon, Avenida de Ceuta nº 1, 1300-125 Lisbon, Portugal
- Cross I&D, Avenida de Ceuta nº 1, 1300-125 Lisbon, Portugal
| | - José Pedro Guerreiro
- Centre for Health Evaluation & Research/Infosaúde, National Association of Pharmacies, 1300-125 Lisbon, Portugal; (J.P.G.); (R.P.); (A.T.-R.)
| | - Rúben Pereira
- Centre for Health Evaluation & Research/Infosaúde, National Association of Pharmacies, 1300-125 Lisbon, Portugal; (J.P.G.); (R.P.); (A.T.-R.)
| | - António Teixeira-Rodrigues
- Centre for Health Evaluation & Research/Infosaúde, National Association of Pharmacies, 1300-125 Lisbon, Portugal; (J.P.G.); (R.P.); (A.T.-R.)
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
- ICVS/3Bs PT Government Associate Laboratory, Campus de Gualtar, 4710-057 Braga, Portugal
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Vasquez MS, Mertens E, Berete F, Van der Heyden J, Peñalvo JL, Vandevijvere S. Comparing self-reported health interview survey and pharmacy billing data in determining the prevalence of diabetes, hypertension, and hypercholesterolemia in Belgium. Arch Public Health 2023; 81:121. [PMID: 37391854 DOI: 10.1186/s13690-023-01134-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 06/15/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND Administrative and health surveys are used in monitoring key health indicators in a population. This study investigated the agreement between self-reported disease status from the Belgian Health Interview Survey (BHIS) and pharmaceutical insurance claims extracted from the Belgian Compulsory Health Insurance (BCHI) in ascertaining the prevalence of diabetes, hypertension, and hypercholesterolemia. METHODS Linkage was made between the BHIS 2018 and the BCHI 2018, from which chronic condition was ascertained using the Anatomical Therapeutic Chemical (ATC) classification and defined daily dose. The data sources were compared using estimates of disease prevalence and various measures of agreement and validity. Multivariable logistic regression was performed for each chronic condition to identify the factors associated to the agreement between the two data sources. RESULTS The prevalence estimates computed from the BCHI and the self-reported disease definition in BHIS, respectively, are 5.8% and 5.9% diabetes cases, 24.6% and 17.6% hypertension cases, and 16.2% and 18.1% of hypercholesterolemia cases. The overall agreement and kappa coefficient between the BCHI and the self-reported disease status is highest for diabetes and is equivalent to 97.6% and 0.80, respectively. The disagreement between the two data sources in ascertaining diabetes is associated with multimorbidity and older age categories. CONCLUSION This study demonstrated the capability of pharmacy billing data in ascertaining and monitoring diabetes in the Belgian population. More studies are needed to assess the applicability of pharmacy claims in ascertaining other chronic conditions and to evaluate the performance of other administrative data such as hospital records containing diagnostic codes.
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Affiliation(s)
- Maria Salve Vasquez
- Department of Epidemiology and Public Health, Service of Health Information, Sciensano, Brussels, Belgium.
| | - Elly Mertens
- Unit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
| | - Finaba Berete
- Department of Epidemiology and Public Health, Service of Health Information, Sciensano, Brussels, Belgium
| | - Johan Van der Heyden
- Department of Epidemiology and Public Health, Service of Health Information, Sciensano, Brussels, Belgium
| | - José L Peñalvo
- Unit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
| | - Stefanie Vandevijvere
- Department of Epidemiology and Public Health, Service of Health Information, Sciensano, Brussels, Belgium
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Montag LJ, Horneff G, Hoff P, Klein A, Kallinich T, Foeldvari I, Seipelt E, Tatsis S, Peer Aries MD, Niewerth M, Klotsche J, Minden K. Medication burden in young adults with juvenile idiopathic arthritis: data from a multicentre observational study. RMD Open 2022; 8:rmdopen-2022-002520. [PMID: 36283758 PMCID: PMC9608545 DOI: 10.1136/rmdopen-2022-002520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 09/26/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To assess the medication and disease burden of young adults with juvenile idiopathic arthritis (JIA). METHODS Young adults with JIA prospectively followed in the Juvenile Arthritis Methotrexate/Biologics long-term Observation reported on their health status and medication use. All medications taken (disease-modifying antirheumatic drugs (DMARDs)/prescription/over-the-counter drugs, but excluding most local therapies) classified according to the Anatomical Therapeutic Chemical Classification System were included in this analysis. Medication use at last follow-up was evaluated by sex, JIA category and time from symptom onset to the first biological DMARD (bDMARD) start. RESULTS A total of 1306 young adults (68% female) with JIA and a mean disease duration of 13.6±6 years were included in the study. Patients reported using on average 2.4±2.1 medicines and 1.5±1.7 non-DMARD medicines, respectively, at the last follow-up. Almost a quarter of the patients reported polypharmacy. The higher the number of medications used was, the higher the disease activity, pain and fatigue, and the lower the quality of life of patients. Medication usage differed significantly between sexes and JIA categories, being highest in patients with rheumatoid factor-positive polyarthritis and systemic JIA. The number of medications used was significantly associated with the time from symptom onset to bDMARD start. Patients taking opioids or antidepressants had a particularly high disease burden and had received bDMARDs an average of 2 years later than patients not taking these medications. CONCLUSION Medication use in adults with JIA varies depending on sex, JIA category, and the time between symptom onset and initiation of treatment with bDMARD.
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Affiliation(s)
- Laura J Montag
- Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany,Programme area Epidemiology and Health Services Research, Deutsches Rheuma-Forschungszentrum Berlin, Leibniz Institute, Berlin, Germany
| | - Gerd Horneff
- Department of Paediatrics, Asklepios Clinic Sankt Augustin, Sankt Augustin, Germany,Department of Paediatric and Adolescent Medicine, University Hospital Cologne, Cologne, Germany
| | - Paula Hoff
- Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany,Department of Rheumatology, MVZ Endokrinologikum Berlin, Berlin, Germany
| | - Ariane Klein
- Department of Paediatrics, Asklepios Clinic Sankt Augustin, Sankt Augustin, Germany
| | - Tilmann Kallinich
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany,Programme area Pathophysiology of Rheumatic Inflammation, Deutsches Rheuma-Forschungszentrum Berlin, Leibniz Institute, Berlin, Germany
| | - Ivan Foeldvari
- Klinikum Eilbek, Hamburger Zentrum für Kinder- und Jugendrheumatologie, Hamburg, Germany
| | - Eva Seipelt
- Immanuel Krankenhaus Berlin-Buch, Berlin, Germany
| | | | | | - Martina Niewerth
- Programme area Epidemiology and Health Services Research, Deutsches Rheuma-Forschungszentrum Berlin, Leibniz Institute, Berlin, Germany
| | - Jens Klotsche
- Programme area Epidemiology and Health Services Research, Deutsches Rheuma-Forschungszentrum Berlin, Leibniz Institute, Berlin, Germany
| | - Kirsten Minden
- Programme area Epidemiology and Health Services Research, Deutsches Rheuma-Forschungszentrum Berlin, Leibniz Institute, Berlin, Germany,Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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Veerle B, Katrien D, Bos P, Roy R, Josefien VO, Edwin W. Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium. BMC Health Serv Res 2022; 22:1257. [PMID: 36253775 PMCID: PMC9578257 DOI: 10.1186/s12913-022-08625-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 09/30/2022] [Indexed: 11/25/2022] Open
Abstract
Background To assess the quality of integrated diabetes care, we should be able to follow the patient throughout the care path, monitor his/her care process and link them to his/her health outcomes, while simultaneously link this information to the primary care system and its performance on the structure and organization related quality indicators. However the development process of such a data framework is challenging, even in period of increasing and improving health data storage and management. This study aims to develop an integrated multi-level data framework for quality of diabetes care and to operationalize this framework in the fragmented Belgium health care and data landscape. Methods Based on document reviews, iterative working group discussions and expert consultations, theoretical approaches and quality indicators were identified and assessed. After mapping and assessing the validity of existing health information systems and available data sources through expert consultations, the theoretical framework was translated in a data framework with measurable quality indicators. The construction of the data base included sampling procedures, data-collection, and several technical and privacy-related aspects of linking and accessing Belgian datasets. Results To address three dimensions of quality of care, we integrated the chronic care model and cascade of care approach, addressing respectively the structure related quality indicators and the process and outcome related indicators. The corresponding data framework is based on self-collected data at the primary care practice level (using the Assessment of quality of integrated care tool), and linked health insurance data with lab data at the patient level. Conclusion In this study, we have described the transition of a theoretical quality of care framework to a unique multilevel database, which allows assessing the quality of diabetes care, by considering the complete care continuum (process and outcomes) as well as organizational characteristics of primary care practices. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-08625-8.
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Affiliation(s)
- Buffel Veerle
- Department of Sociology, University of Antwerp, Antwerp, Belgium.
| | - Danhieux Katrien
- Department of family medicine and population health, University of Antwerp, Antwerp, Belgium
| | - Philippe Bos
- Department of Sociology, University of Antwerp, Antwerp, Belgium
| | - Remmen Roy
- Department of family medicine and population health, University of Antwerp, Antwerp, Belgium
| | - Van Olmen Josefien
- Department of family medicine and population health, University of Antwerp, Antwerp, Belgium
| | - Wouters Edwin
- Department of Sociology, University of Antwerp, Antwerp, Belgium
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Cox IA, de Graaff B, Corte TJ, Glaspole I, Chambers DC, Moodley Y, Teoh A, Walters EH, Palmer AJ. Recent trends in pirfenidone and nintedanib use for idiopathic pulmonary fibrosis in Australia. AUST HEALTH REV 2021; 45:718-727. [PMID: 34706811 DOI: 10.1071/ah20337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 03/10/2021] [Indexed: 11/23/2022]
Abstract
ObjectivesIdiopathic pulmonary fibrosis (IPF) is one of the most common forms of interstitial lung disease presenting in people aged ≥50 years. There is currently no cure for IPF, but two medications (pirfenidone and nintedanib) have been shown to slow the functional decline of the lungs. In 2017, these two medications were listed on the Pharmaceutical Benefits Scheme (PBS) for subsidisation in Australia. This study evaluated local trends in the use of these two medications.MethodsPrescription data for this analysis were obtained from the PBS Item Reports for the period May 2017-May 2020. Population data were extracted from the Australian Bureau of Statistics data cubes. A descriptive approach was used to conduct and report the analysis to illustrate trends in the use of these two medications and associated costs.ResultsThere were 44 010 prescriptions processed for the treatment for IPF in the 3-year period. Nintedanib use was higher than pirfenidone use, accounting for 54% of prescriptions. New South Wales accounted for 35% of the total prescriptions but, when standardised against population size, the Australian Capital Territory accounted for the highest proportion of prescriptions (24%). Prescriptions for nintedanib and pirfenidone were associated with a total cost of A$131 377 951 over the period 2017-20.ConclusionThis study provides initial information on prescription rates, practices and expenditure for pirfenidone and nintedanib. In addition, we provide some insight into possible pharmacological and epidemiological trends based on jurisdictional differences. Together, the results from this study provide a platform for future research given the dearth of information on IPF in Australia.What is known about the topic?Data regarding trends in the utilisation of antifibrotics for the treatment of IPF in Australia are currently limited.What does this paper add?This study demonstrated that nintedanib use was slightly higher than pirfenidone use, and that there were variations in jurisdictional prescribing practices. The highest number of prescriptions and costs were attributable to New South Wales but, when standardised against population size, the Australian Capital Territory had the highest number of prescriptions and costs.What are the implications for practitioners?This study provides some insights into the use of pirfenidone and nintedanib, as well as pharmacoepidemiological trends, in Australia, which is useful for economic evaluation and modelling future health expenditure.
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Affiliation(s)
- Ingrid A Cox
- Menzies Institute for Medical Research, The University of Tasmania, Hobart, Tas., Australia. ; ; ; and National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ;
| | - Barbara de Graaff
- Menzies Institute for Medical Research, The University of Tasmania, Hobart, Tas., Australia. ; ; ; and National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ;
| | - Tamera J Corte
- National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ; ; and Central Clinical School, The University of Sydney, Camperdown, NSW, Australia; and Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Ian Glaspole
- National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ; ; and Interstitial Lung Disease Clinic, Alfred Hospital, Melbourne, Vic., Australia; and Central Clinical School, Monash University, Melbourne, Vic., Australia
| | - Daniel C Chambers
- National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ; ; and School of Clinical Medicine, The University of Queensland, Brisbane, Qld, Australia. ; and Queensland Lung Transplant Service, The Prince Charles Hospital, Brisbane, Qld, Australia
| | - Yuben Moodley
- National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ; ; and Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, Australia. ; and Institute of Respiratory Health, The University of Western Australia, Perth, WA, Australia; and Department of Respiratory Medicine, Fiona Stanley Hospital, Murdoch, WA, Australia
| | - Alan Teoh
- National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ; ; and Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - E Haydn Walters
- Menzies Institute for Medical Research, The University of Tasmania, Hobart, Tas., Australia. ; ; ; and National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ;
| | - Andrew J Palmer
- Menzies Institute for Medical Research, The University of Tasmania, Hobart, Tas., Australia. ; ; ; and National Health and Medical Research Council (NHMRC) Centre of Research Excellence for Pulmonary Fibrosis, Camperdown, NSW, Australia. ; ; ; and Centre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Vic., Australia; and Corresponding author.
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Stouten V, Pazmino S, Verschueren P, Mamouris P, Westhovens R, de Vlam K, Bertrand D, Van der Elst K, Vaes B, De Cock D. Comorbidity burden in the first three years after diagnosis in patients with rheumatoid arthritis, psoriatic arthritis or spondyloarthritis: a general practice registry-based study. RMD Open 2021; 7:rmdopen-2021-001671. [PMID: 34158353 PMCID: PMC8220534 DOI: 10.1136/rmdopen-2021-001671] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 06/04/2021] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVES Rheumatoid arthritis (RA), psoriatic arthritis (PsA) and spondyloarthritis (SpA) are chronic inflammatory rheumatic conditions with high levels of comorbidity requiring additional therapeutic attention. We aimed to compare the 3-year comorbidity incidence and pain medication prescription in patients diagnosed with RA, PsA or SpA versus controls. METHODS Data between 1999 and 2012 were obtained from Intego, a general practitioner (GP) morbidity registry in Flanders, Belgium. Cases were identified by International Classification of Primary Care (ICPC-2) codes representing 'rheumatoid/seropositive arthritis (L88)' or 'musculoskeletal disease other (L99)'. The registered keywords mapped to these ICPC-2 codes were further verified and mapped to a RA/SpA/PsA diagnosis. Controls were matched on age, gender, GP practice and diagnosis date. We analysed the 3-year comorbidity burden in cases and controls, measured by the Rheumatic Diseases Comorbidity Index (RDCI). All electronically GP-prescribed drugs were registered. RESULTS In total, 738, 229 and 167 patients were included with a diagnosis of RA, SpA or PsA, respectively. Patients with RA or PsA had comparable median RDCI scores at baseline, but higher scores at year 3 compared with controls (RA: p=0.010; PsA: p=0.008). At baseline, depression was more prevalent in PsA patients vs controls (p<0.003). RA patients had a higher 3-year incidence of cardiovascular disease including myocardial infarction than controls (p<0.035). All disease population were given more prescriptions than controls for any pain medication type, even opioids excluding tramadol. CONCLUSIONS This study highlights the increasing comorbidity burden of patients with chronic inflammatory rheumatic conditions, especially for individuals with RA or PsA. The high opioid use in all populations was remarkable.
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Affiliation(s)
- Veerle Stouten
- Department of Development and Regeneration, Skeletal Biology and Engineering Research Centre, KU Leuven, Leuven, Belgium
| | - Sofia Pazmino
- Department of Development and Regeneration, Skeletal Biology and Engineering Research Centre, KU Leuven, Leuven, Belgium
| | - P Verschueren
- Department of Development and Regeneration, Skeletal Biology and Engineering Research Centre, KU Leuven, Leuven, Belgium.,Rheumatology, University Hospitals Leuven, Leuven, Belgium
| | - Pavlos Mamouris
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - René Westhovens
- Department of Development and Regeneration, Skeletal Biology and Engineering Research Centre, KU Leuven, Leuven, Belgium.,Rheumatology, University Hospitals Leuven, Leuven, Belgium
| | - Kurt de Vlam
- Department of Development and Regeneration, Skeletal Biology and Engineering Research Centre, KU Leuven, Leuven, Belgium
| | - Delphine Bertrand
- Department of Development and Regeneration, Skeletal Biology and Engineering Research Centre, KU Leuven, Leuven, Belgium
| | | | - Bert Vaes
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Diederik De Cock
- Department of Development and Regeneration, Skeletal Biology and Engineering Research Centre, KU Leuven, Leuven, Belgium
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Berete F, Demarest S, Charafeddine R, Bruyère O, Van der Heyden J. Comparing health insurance data and health interview survey data for ascertaining chronic disease prevalence in Belgium. ACTA ACUST UNITED AC 2020; 78:120. [PMID: 33292534 PMCID: PMC7672883 DOI: 10.1186/s13690-020-00500-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 11/04/2020] [Indexed: 11/11/2022]
Abstract
Background Health administrative data were increasingly used for chronic diseases (CDs) surveillance purposes. This cross sectional study explored the agreement between Belgian compulsory health insurance (BCHI) data and Belgian health interview survey (BHIS) data for asserting CDs. Methods Individual BHIS 2013 data were linked with BCHI data using the unique national register number. The study population included all participants of the BHIS 2013 aged 15 years and older. Linkage was possible for 93% of BHIS-participants, resulting in a study sample of 8474 individuals. For seven CDs disease status was available both through self-reported information from the BHIS and algorithms based on ATC-codes of disease-specific medication, developed on demand of the National Institute for Health and Disability Insurance (NIHDI). CD prevalence rates from both data sources were compared. Agreement was measured using sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) assuming BHIS data as gold standard. Kappa statistic was also calculated. Participants’ sociodemographic and health status characteristics associated with agreement were tested using logistic regression for each CD. Results Prevalence from BCHI data was significantly higher for CVDs but significantly lower for COPD and asthma. No significant difference was found between the two data sources for the remaining CDs. Sensitivity was 83% for CVDs, 78% for diabetes and ranged from 27 to 67% for the other CDs. Specificity was excellent for all CDs (above 98%) except for CVDs. The highest PPV was found for Parkinson’s disease (83%) and ranged from 41 to 75% for the remaining CDs. Irrespective of the CDs, the NPV was excellent. Kappa statistic was good for diabetes, CVDs, Parkinson’s disease and thyroid disorders, moderate for epilepsy and fair for COPD and asthma. Agreement between BHIS and BCHI data is affected by individual sociodemographic characteristics and health status, although these effects varied across CDs. Conclusions NHIDI’s CDs case definitions are an acceptable alternative to identify cases of diabetes, CVDs, Parkinson’s disease and thyroid disorders but yield in a significant underestimated number of patients suffering from asthma and COPD. Further research is needed to refine the definitions of CDs from administrative data. Supplementary Information The online version contains supplementary material available at 10.1186/s13690-020-00500-4.
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Affiliation(s)
- Finaba Berete
- SD Epidemiology and public health, Sciensano, Juliette Wytsmanstraat, 14 1050, Brussels, Belgium. .,Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium.
| | - Stefaan Demarest
- SD Epidemiology and public health, Sciensano, Juliette Wytsmanstraat, 14 1050, Brussels, Belgium
| | - Rana Charafeddine
- SD Epidemiology and public health, Sciensano, Juliette Wytsmanstraat, 14 1050, Brussels, Belgium
| | - Olivier Bruyère
- WHO Collaborating Centre for Public Health aspects of musculoskeletal health and ageing, Department of Public Health, Epidemiology and Health Economics, University of Liege, Liège, Belgium
| | - Johan Van der Heyden
- SD Epidemiology and public health, Sciensano, Juliette Wytsmanstraat, 14 1050, Brussels, Belgium
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Incidence and Prognosis of Biliary Tract and Gallbladder Cancers in a Belgian Academic Hospital. J Gastrointest Cancer 2020; 52:1003-1009. [PMID: 32984916 DOI: 10.1007/s12029-020-00526-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Biliary tract and gallbladder cancers are rare tumors with a poor prognosis (except the ampulla type). The evolution of hepatobiliary cancer incidence varies widely around the world. According to the Belgian Cancer Registry, the number of hepatobiliary cancers has increased every year since 2004. MATERIALS AND METHODS This retrospective study included patients diagnosed with cholangiocarcinoma, ampulla cancer, or gallbladder cancer at the university hospital, CHU UCL, Godinne site, in Namur, Belgium, between 1997 and 2017. The evolution of cancer incidence was evaluated with the Mann-Kendall method, by analyzing 7 consecutive 3-year periods. We calculated survival with the Kaplan-Meier method, and we determined prognostic factors with the log-rank test and Cox models. RESULTS Between 1997 and 2017, we included 128 patients that were newly diagnosed in our center. According to the Mann-Kendall test, the evolution of the incidence of these cancers in our hospital increased significantly over the study period (Sen's slope = 7; p = 0.003). The 1-year overall survival was 53.0 ± 4.7%. Poor prognostic factors included age, cancer stage, local cancer extension, and metastatic disease. The independent prognostic factors of survival were age (p = 0.002), ampulla cancer (p < 0.001), and metastatic disease (p < 0.001). CONCLUSIONS We found that the incidence of biliary tract and gallbladder cancers increased over a period of 20 years in our center. Further investigations are needed to determine the reasons for this increase. Although new therapies are emerging, the prognosis remains poor for these cancers. Determining risk factors might promote the development of preventive approaches.
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van den Akker M, Vaes B, Goderis G, Van Pottelbergh G, De Burghgraeve T, Henrard S. Trends in multimorbidity and polypharmacy in the Flemish-Belgian population between 2000 and 2015. PLoS One 2019; 14:e0212046. [PMID: 30753214 PMCID: PMC6372187 DOI: 10.1371/journal.pone.0212046] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 01/25/2019] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVES The aim of this paper was to describe the time trends in the prevalence of multimorbidity and polypharmacy in Flanders (Belgium) between 2000 and 2015, while controlling for age and sex. METHODS Data were available from Intego, a Flemish-Belgian general practice-based morbidity registration network. The practice population between 2000 and 2015 was used as the denominator, representing a mean of 159,946 people per year. Age and gender-standardised prevalence rates were used for the trends of multimorbidity and polypharmacy in the total population and for subgroups. Joinpoint regression analyses were used to analyse the time trends and breaks in trends, for the entire population as well as for specific age and sex groups. RESULTS Overall, in 2015, 22.7% of the population had multimorbidity, while the overall prevalence of polypharmacy was 20%. Throughout the study period the standardised prevalence rate of multimorbidity rose for both sexes and in all age groups. The largest relative increase in multimorbidity was observed in the younger age groups (up to the age of 50 years). The prevalence of polypharmacy showed a significant increase between 2000 and 2015 for all age groups except the youngest (0-25 years). CONCLUSION For all adult age groups multimorbidity and polypharmacy are frequent, dynamic over time and increasing. This asks for both epidemiological and interventional studies to improve the management of the resulting complex care.
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Affiliation(s)
- Marjan van den Akker
- Department of Family Medicine, School Caphri, Maastricht University, Maastricht, the Netherlands
- Department of Public Health and Primary Care, University of Leuven (KU Leuven), Leuven, Belgium
- * E-mail:
| | - Bert Vaes
- Department of Public Health and Primary Care, University of Leuven (KU Leuven), Leuven, Belgium
| | - Geert Goderis
- Department of Public Health and Primary Care, University of Leuven (KU Leuven), Leuven, Belgium
| | - Gijs Van Pottelbergh
- Department of Public Health and Primary Care, University of Leuven (KU Leuven), Leuven, Belgium
| | - Tine De Burghgraeve
- Department of Public Health and Primary Care, University of Leuven (KU Leuven), Leuven, Belgium
| | - Séverine Henrard
- Department of Public Health and Primary Care, University of Leuven (KU Leuven), Leuven, Belgium
- Louvain Drug Research Institute and Institute of Health and Society (IRSS), Université catholique de Louvain (UCL), Brussels, Belgium
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