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Williams LJ, Fletcher E, Douglas A, Anderson EDC, McCallum A, Simpson CR, Smith J, Moger TA, Peltola M, Mihalicza P, Sveréus S, Zengarini N, Campbell H, Wild SH. Retrospective cohort study of breast cancer incidence, health service use and outcomes in Europe: a study of feasibility. Eur J Public Health 2019; 28:327-332. [PMID: 29020283 DOI: 10.1093/eurpub/ckx127] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background Comparisons of outcomes of health care in different systems can be used to inform health policy. The EuroHOPE (European Healthcare Outcomes, Performance and Efficiency) project investigated the feasibility of comparing routine data on selected conditions including breast cancer across participating European countries. Methods Routine data on incidence, treatment and mortality by age and clinical characteristics for breast cancer in women over 24 years of age were obtained (for a calendar year) from linked hospital discharge records, cancer and death registers from Finland, the Turin metropolitan area, Scotland and Sweden (all 2005), Hungary (2006) and Norway (2009). Age-adjusted breast cancer incidence and 1-year survival were estimated for each country/region. Results In total, 24 576 invasive breast cancer cases were identified from cancer registries from over 13 million women. Age-adjusted incidence ranged from 151.1 (95%CI 147.2-155.0) in Hungary to 234.7 (95%CI 227.4-242.0)/100 000 in Scotland. One-year survival ranged from 94.1% (95%CI 93.5-94.7%) in Scotland to 97.1% (95%CI 96.2-98.1%) in Italy. Scotland had the highest proportions of poor prognostic factors in terms of tumour size, nodal status and metastases. Significant variations in data completeness for prognostic factors prevented adjustment for case mix. Conclusion Incidence of and survival from breast cancer showed large differences between countries. Substantial improvements in the use of internationally recognised common terminology, standardised data coding and data completeness for prognostic indicators are required before international comparisons of routine data can be used to inform health policy.
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Affiliation(s)
- Linda J Williams
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK
| | - Eilidh Fletcher
- Information Services Division, NHS National Services Scotland, UK
| | - Anne Douglas
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK
| | | | | | - Colin R Simpson
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK
| | - Joel Smith
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK
| | - Tron Anders Moger
- Department of Health Management and Health Economics, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Mikko Peltola
- Centre for Health and Social Economics CHESS, National Institute for Health and Welfare, Finland
| | - Peter Mihalicza
- National Healthcare Service Center, Semmelweis University, Budapest, Hungary
| | - Sofia Sveréus
- Department of Learning, Informatics, Management and Ethics Medical Management Centre, Karolinska Institutet, Solna, Sweden
| | | | - Harry Campbell
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK
| | - Sarah H Wild
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK
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Brewster DH, Fischbacher CM, Nolan J, Nowell S, Redpath D, Nabi G. Risk of hospitalization and death following prostate biopsy in Scotland. Public Health 2017; 142:102-110. [PMID: 27810089 PMCID: PMC5226055 DOI: 10.1016/j.puhe.2016.10.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 09/22/2016] [Accepted: 10/04/2016] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To investigate the risk of hospitalization and death following prostate biopsy. STUDY DESIGN Retrospective cohort study. METHODS Our study population comprised 10,285 patients with a record of first ever prostate biopsy between 2009 and 2013 on computerized acute hospital discharge or outpatient records covering Scotland. Using the general population as a comparison group, expected numbers of admissions/deaths were derived by applying age-, sex-, deprivation category-, and calendar year-specific rates of hospital admissions/deaths to the study population. Indirectly standardized hospital admission ratios (SHRs) and mortality ratios (SMRs) were calculated by dividing the observed numbers of admissions/deaths by expected numbers. RESULTS Compared with background rates, patients were more likely to be admitted to hospital within 30 days (SHR 2.7; 95% confidence interval 2.4, 2.9) and 120 days (SHR 4.0; 3.8, 4.1) of biopsy. Patients with prior co-morbidity had higher SHRs. The risk of death within 30 days of biopsy was not increased significantly (SMR 1.6; 0.9, 2.7), but within 120 days, the risk of death was significantly higher than expected (SMR 1.9; 1.5, 2.4). The risk of death increased with age and tended to be higher among patients with prior co-morbidity. Overall risks of hospitalization and of death up to 120 days were increased both in men diagnosed and those not diagnosed with prostate cancer. CONCLUSIONS Higher rates of adverse events in older patients and patients with prior co-morbidity emphasizes the need for careful patient selection for prostate biopsy and justifies ongoing efforts to minimize the risk of complications.
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Affiliation(s)
- D H Brewster
- NHS National Services Scotland, Gyle Square, 1 South Gyle Crescent, Edinburgh, Scotland, UK; Centre for Population Health Sciences, University of Edinburgh, Edinburgh, Scotland, UK.
| | - C M Fischbacher
- NHS National Services Scotland, Gyle Square, 1 South Gyle Crescent, Edinburgh, Scotland, UK; Centre for Population Health Sciences, University of Edinburgh, Edinburgh, Scotland, UK
| | - J Nolan
- NHS National Services Scotland, Gyle Square, 1 South Gyle Crescent, Edinburgh, Scotland, UK
| | - S Nowell
- NHS National Services Scotland, Gyle Square, 1 South Gyle Crescent, Edinburgh, Scotland, UK
| | - D Redpath
- NHS National Services Scotland, Gyle Square, 1 South Gyle Crescent, Edinburgh, Scotland, UK
| | - G Nabi
- Section of Academic Urology, Cancer Research Division, School of Medicine, Ninewells Hospital, Dundee, Scotland, UK; Department of Surgical Urology, Ninewells Hospital, NHS Tayside, Dundee, Scotland, UK
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Gitsels LA, Kulinskaya E, Steel N. Survival Benefits of Statins for Primary Prevention: A Cohort Study. PLoS One 2016; 11:e0166847. [PMID: 27861639 PMCID: PMC5115824 DOI: 10.1371/journal.pone.0166847] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 11/05/2016] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES Estimate the effect of statin prescription on mortality in the population of England and Wales with no previous history of cardiovascular disease. METHODS Primary care records from The Health Improvement Network 1987-2011 were used. Four cohorts of participants aged 60, 65, 70, or 75 years at baseline included 118,700, 199,574, 247,149, and 194,085 participants; and 1.4, 1.9, 1.8, and 1.1 million person-years of data, respectively. The exposure was any statin prescription at any time before the participant reached the baseline age (60, 65, 70 or 75) and the outcome was all-cause mortality at any age above the baseline age. The hazard of mortality associated with statin prescription was calculated by Cox's proportional hazard regressions, adjusted for sex, year of birth, socioeconomic status, diabetes, antihypertensive medication, hypercholesterolaemia, body mass index, smoking status, and general practice. Participants were grouped by QRISK2 baseline risk of a first cardiovascular event in the next ten years of <10%, 10-19%, or ≥20%. RESULTS There was no reduction in all-cause mortality for statin prescription initiated in participants with a QRISK2 score <10% at any baseline age, or in participants aged 60 at baseline in any risk group. Mortality was lower in participants with a QRISK2 score ≥20% if statin prescription had been initiated by age 65 (adjusted hazard ratio (HR) 0.86 (0.79-0.94)), 70 (HR 0.83 (0.79-0.88)), or 75 (HR 0.82 (0.79-0.86)). Mortality reduction was uncertain with a QRISK2 score of 10-19%: the HR was 1.00 (0.91-1.11) for statin prescription by age 65, 0.89 (0.81-0.99) by age 70, or 0.79 (0.52-1.19) by age 75. CONCLUSIONS The current internationally recommended thresholds for statin therapy for primary prevention of cardiovascular disease in routine practice may be too low and may lead to overtreatment of younger people and those at low risk.
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Affiliation(s)
- Lisanne A. Gitsels
- School of Computing Sciences, University of East Anglia, Norwich, United Kingdom
| | - Elena Kulinskaya
- School of Computing Sciences, University of East Anglia, Norwich, United Kingdom
| | - Nicholas Steel
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
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Streatfield PK, Khan WA, Bhuiya A, Alam N, Sié A, Soura AB, Bonfoh B, Ngoran EK, Weldearegawi B, Jasseh M, Oduro A, Gyapong M, Kant S, Juvekar S, Wilopo S, Williams TN, Odhiambo FO, Beguy D, Ezeh A, Kyobutungi C, Crampin A, Delaunay V, Tollman SM, Herbst K, Chuc NTK, Sankoh OA, Tanner M, Byass P. Cause-specific mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites. Glob Health Action 2014; 7:25362. [PMID: 25377324 PMCID: PMC4220126 DOI: 10.3402/gha.v7.25362] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Revised: 08/29/2014] [Accepted: 09/02/2014] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Because most deaths in Africa and Asia are not well documented, estimates of mortality are often made using scanty data. The INDEPTH Network works to alleviate this problem by collating detailed individual data from defined Health and Demographic Surveillance sites. By registering all deaths over time and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available. OBJECTIVE To build a large standardised mortality database from African and Asian sites, detailing the relevant methods, and use it to describe cause-specific mortality patterns. DESIGN Individual demographic and verbal autopsy (VA) data from 22 INDEPTH sites were collated into a standardised database. The INDEPTH 2013 population was used for standardisation. The WHO 2012 VA standard and the InterVA-4 model were used for assigning cause of death. RESULTS A total of 111,910 deaths occurring over 12,204,043 person-years (accumulated between 1992 and 2012) were registered across the 22 sites, and for 98,429 of these deaths (88.0%) verbal autopsies were successfully completed. There was considerable variation in all-cause mortality between sites, with most of the differences being accounted for by variations in infectious causes as a proportion of all deaths. CONCLUSIONS This dataset documents individual deaths across Africa and Asia in a standardised way, and on an unprecedented scale. While INDEPTH sites are not constructed to constitute a representative sample, and VA may not be the ideal method of determining cause of death, nevertheless these findings represent detailed mortality patterns for parts of the world that are severely under-served in terms of measuring mortality. Further papers explore details of mortality patterns among children and specifically for NCDs, external causes, pregnancy-related mortality, malaria, and HIV/AIDS. Comparisons will also be made where possible with other findings on mortality in the same regions. Findings presented here and in accompanying papers support the need for continued work towards much wider implementation of universal civil registration of deaths by cause on a worldwide basis.
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Affiliation(s)
- P Kim Streatfield
- Matlab HDSS, Bangladesh; International Centre for Diarrhoeal Disease Research, Bangladesh; INDEPTH Network, Accra, Ghana
| | - Wasif A Khan
- International Centre for Diarrhoeal Disease Research, Bangladesh; INDEPTH Network, Accra, Ghana; Bandarban HDSS, Bangladesh
| | - Abbas Bhuiya
- INDEPTH Network, Accra, Ghana; Chakaria HDSS, Bangladesh; Centre for Equity and Health Systems, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Nurul Alam
- INDEPTH Network, Accra, Ghana; AMK HDSS, Bangladesh; Centre for Population, Urbanisation and Climate Change, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Ali Sié
- INDEPTH Network, Accra, Ghana; Nouna HDSS, Burkina Faso; Nouna Health Research Centre, Nouna, Burkina Faso
| | - Abdramane B Soura
- INDEPTH Network, Accra, Ghana; Ouagadougou HDSS, Burkina Faso; Institut Supérieur des Sciences de la Population, Université de Ouagadougou, Burkina Faso
| | - Bassirou Bonfoh
- INDEPTH Network, Accra, Ghana; Taabo HDSS, Côte d'Ivoire; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan, Côte d'Ivoire
| | - Eliezer K Ngoran
- INDEPTH Network, Accra, Ghana; Taabo HDSS, Côte d'Ivoire; Université Félix Houphoët-Boigny, Abidjan, Côte d'Ivoire
| | - Berhe Weldearegawi
- INDEPTH Network, Accra, Ghana; Kilite-Awlaelo HDSS, Ethiopia; Department of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - Momodou Jasseh
- INDEPTH Network, Accra, Ghana; Farafenni HDSS, The Gambia; Medical Research Council, The Gambia Unit, Fajara, The Gambia
| | - Abraham Oduro
- INDEPTH Network, Accra, Ghana; Navrongo HDSS, Ghana; Navrongo Health Research Centre, Navrongo, Ghana
| | - Margaret Gyapong
- INDEPTH Network, Accra, Ghana; Dodowa HDSS, Ghana; Dodowa Health Research Centre, Dodowa, Ghana
| | - Shashi Kant
- INDEPTH Network, Accra, Ghana; Ballabgarh HDSS, India; All India Institute of Medical Sciences, New Delhi, India
| | - Sanjay Juvekar
- INDEPTH Network, Accra, Ghana; Vadu HDSS, India; Vadu Rural Health Program, KEM Hospital Research Centre, Pune, India
| | - Siswanto Wilopo
- INDEPTH Network, Accra, Ghana; Purworejo HDSS, Indonesia; Department of Public Health, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Thomas N Williams
- INDEPTH Network, Accra, Ghana; Kilifi HDSS, Kenya; KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya; Department of Medicine, Imperial College, St. Mary's Hospital, London
| | - Frank O Odhiambo
- INDEPTH Network, Accra, Ghana; Kisumu HDSS, Kenya; KEMRI/CDC Research and Public Health Collaboration and KEMRI Center for Global Health Research, Kisumu, Kenya
| | - Donatien Beguy
- INDEPTH Network, Accra, Ghana; Nairobi HDSS, Kenya; African Population and Health Research Center, Nairobi, Kenya
| | - Alex Ezeh
- INDEPTH Network, Accra, Ghana; Nairobi HDSS, Kenya; African Population and Health Research Center, Nairobi, Kenya
| | - Catherine Kyobutungi
- INDEPTH Network, Accra, Ghana; Nairobi HDSS, Kenya; African Population and Health Research Center, Nairobi, Kenya
| | - Amelia Crampin
- INDEPTH Network, Accra, Ghana; Karonga HDSS, Malawi; Karonga Prevention Study, Chilumba, Malawi; London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Valérie Delaunay
- INDEPTH Network, Accra, Ghana; Niakhar HDSS, Senegal; Institut de Recherche pour le Developpement (IRD), Dakar, Sénégal
| | - Stephen M Tollman
- INDEPTH Network, Accra, Ghana; Agincourt HDSS, South Africa; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Umeå Centre for Global Health Research, Umeå University, Umeå, Sweden
| | - Kobus Herbst
- INDEPTH Network, Accra, Ghana; Africa Centre HDSS, South Africa; Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Somkhele, KwaZulu-Natal, South Africa
| | - Nguyen T K Chuc
- INDEPTH Network, Accra, Ghana; FilaBavi HDSS, Vietnam; Health System Research, Hanoi Medical University, Hanoi, Vietnam
| | - Osman A Sankoh
- INDEPTH Network, Accra, Ghana; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Hanoi Medical University, Hanoi, Vietnam;
| | - Marcel Tanner
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Peter Byass
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; WHO Collaborating Centre for Verbal Autopsy, Umeå Centre for Global Health Research, Umeå University, Umeå, Sweden
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Ylijoki-Sørensen S, Sajantila A, Lalu K, Bøggild H, Boldsen JL, Boel LWT. Coding ill-defined and unknown cause of death is 13 times more frequent in Denmark than in Finland. Forensic Sci Int 2014; 244:289-94. [PMID: 25300069 DOI: 10.1016/j.forsciint.2014.09.016] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Revised: 08/29/2014] [Accepted: 09/16/2014] [Indexed: 10/24/2022]
Abstract
Exact cause and manner of death determination improves legislative safety for the individual and for society and guides aspects of national public health. In the International Classification of Diseases, codes R00-R99 are used for "symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified" designated as "ill-defined" or "with unknown etiology". The World Health Organisation recommends avoiding the use of ill-defined and unknown causes of death in the death certificate as this terminology does not give any information concerning the possible conditions that led to the death. Thus, the aim of the study was, firstly, to analyse the frequencies of R00-R99-coded deaths in mortality statistics in Finland and in Denmark and, secondly, to compare these and the methods used to investigate the cause of death. To do so, we extracted a random 90% sample of the Finnish death certificates and 100% of the Danish certificates from the national mortality registries for 2000, 2005 and 2010. Subsequently, we analysed the frequencies of forensic and medical autopsies and external clinical examinations of the bodies in R00-R99-coded deaths. The use of R00-R99 codes was significantly higher in Denmark than in Finland; OR 18.6 (95% CI 15.3-22.4; p<0.001) for 2000, OR 9.5 (95% CI 8.0-11.3; p<0.001) for 2005 and OR 13.2 (95% CI 11.1-15.7; p<0.001) for 2010. More than 80% of Danish deaths with R00-R99 codes were over 70 years of age at the time of death. Forensic autopsy was performed in 88.3% of Finnish R00-R99-coded deaths, whereas only 3.5% of Danish R00-R99-coded deaths were investigated with forensic or medical autopsy. The codes that were most used in both countries were R96-R99, meaning "unknown cause of death". In Finland, all of these deaths were investigated with a forensic autopsy. Our study suggests that if all deaths in all age groups with unclear cause of death were systematically investigated with a forensic autopsy, only 2-3/1000 deaths per year would be coded as an ill-defined and unknown cause of death in national mortality statistics. At the same time the risk to overlook unnatural deaths is decreased to a minimum. To achieve this in Denmark requires that the existing legislation on cause of death investigation would need to be changed to ensure that all deaths with unknown cause of death are investigated with a forensic autopsy.
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Affiliation(s)
- Seija Ylijoki-Sørensen
- Department of Forensic Medicine, Aarhus University, Brendstrupgaardsvej 100, 8200 Aarhus N, Denmark.
| | - Antti Sajantila
- Department of Forensic Medicine, Hjelt Institute, Helsinki University, Kytösuontie 11, 00014 Helsinki, Finland; Institute of Applied Genetics, Department of Molecular and Medical Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA.
| | - Kaisa Lalu
- National Institute for Health and Welfare, Forensic Medicine Unit, Helsinki Kytösuontie 11, 00300 Helsinki, Finland.
| | - Henrik Bøggild
- Public Health and Epidemiology Group, Department of Health Science and Technology, Aalborg University, Niels Jernes Vej 14, 3-209, 9220 Aalborg, Denmark.
| | - Jesper Lier Boldsen
- ADBOU, Institute of Forensic Medicine, University of Southern Denmark, Lucernemarken 20, 5260 Odense S, Denmark.
| | - Lene Warner Thorup Boel
- Department of Forensic Medicine, Aarhus University, Brendstrupgaardsvej 100, 8200 Aarhus N, Denmark.
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