For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
12
views
8
references
 Top references
cited by
1
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      140
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Community determinants of COPD exacerbations in elderly patients in Poland: protocol for a retrospective Big Data observational cohort study

      protocol

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          Analyses of large sets of electronic health-related data (Big Data), including local community indicators, may improve knowledge of the outcomes of chronic diseases among patients and healthcare systems. Our study will estimate the prevalence of chronic obstructive pulmonary disease (COPD) and its exacerbations in elderly patients in the Lodz region, Poland; it will also evaluate local community factors potentially associated with disease exacerbations and rank local communities according to health and local community indicators.

          Methods and analysis

          Local community factors, including medical/health, socioeconomic and environmental values potentially associated with COPD exacerbations will be identified. A retrospective analysis of a cohort of about half a million people 65 years old and older, living in local communities of the Lodz region in 2016 will be performed. Relevant data will be extracted from databases, including those of the National Health Fund, Tax Office and National Statistics Centre. This cross-sectional study will include data for a 1 year period, from 1 January until 31 December 2016. The data will first be checked for quality, cleaned and analysed using data mining techniques, and then multilevel logistic regression will be used to discover the community determinants of COPD exacerbations.

          Ethics and dissemination

          The study protocol has been approved by the Bioethical Committee of Medical University of Lodz (RNN/248/18/KE, 10 July 2018). Our findings will be published in peer-reviewed journals and reports.

          Related collections

          Most cited references8

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The County Health Rankings: rationale and methods

          Patrick L. Remington, Bridget B Catlin, Keith Gennuso (2015)
          Background Annually since 2010, the University of Wisconsin Population Health Institute and the Robert Wood Johnson Foundation have produced the County Health Rankings—a “population health checkup” for the nation’s over 3,000 counties. The purpose of this paper is to review the background and rationale for the Rankings, explain in detail the methods we use to create the health rankings in each state, and discuss the strengths and limitations associated with ranking the health of communities. Methods We base the Rankings on a conceptual model of population health that includes both health outcomes (mortality and morbidity) and health factors (health behaviors, clinical care, social and economic factors, and the physical environment). Data for over 30 measures available at the county level are assembled from a number of national sources. Z-scores are calculated for each measure, multiplied by their assigned weights, and summed to create composite measure scores. Composite scores are then ordered and counties are ranked from best to worst health within each state. Results Health outcomes and related health factors vary significantly within states, with over two-fold differences between the least healthy counties versus the healthiest counties for measures such as premature mortality, teen birth rates, and percent of children living in poverty. Ranking within each state depicts disparities that are not apparent when counties are ranked across the entire nation. Discussion The County Health Rankings can be used to clearly demonstrate differences in health by place, raise awareness of the many factors that influence health, and stimulate community health improvement efforts. The Rankings draws upon the human instinct to compete by facilitating comparisons between neighboring or peer counties within states. Since no population health model, or rankings based off such models, will ever perfectly describe the health of its population, we encourage users to look to local sources of data to understand more about the health of their community.
          Article 0 comments Cited 108 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Exacerbations of COPD

            Christian Viniol, Claus F. Vogelmeier (2018)
            Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide. While COPD is a mainly chronic disease, a substantial number of patients suffer from exacerbations. Severe exacerbations are related to a significantly worse survival outcome. This review summarises the current knowledge on the different aspects of COPD exacerbations. The impact of risk factors and triggers such as smoking, severe airflow limitation, bronchiectasis, bacterial and viral infections and comorbidities is discussed. More severe exacerbations should be treated with β-agonists and anticholinergics as well as systemic corticosteroids. Antibiotic therapy should only be given to patients with presumed bacterial infection. Noninvasive ventilation is indicated in patients with respiratory failure. Smoking cessation is key to prevent further COPD exacerbations. Other aspects include choice of pharmacotherapy, including bronchodilators, inhaled corticosteroids, phosphodiesterase-4 inhibitors, long-term antibiotics and mucolytics. Better education and self-management as well as increased physical activity are important. Influenza and pneumococcal vaccination is recommended. Treatment of hypoxaemia and hypercapnia reduce the rate of COPD exacerbations, while most interventional bronchoscopic therapies increase exacerbation risk within the first months after the procedure. This article highlights the importance of preventing exacerbations of COPD http://ow.ly/ODQp30i5Cel
            Article 0 comments Cited 100 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Identifying determinants of care for tailoring implementation in chronic diseases: an evaluation of different methods

              Jane Krause, Erik Jan van Lieshout, Rien Klomp … (2014)
              Background The tailoring of implementation interventions includes the identification of the determinants of, or barriers to, healthcare practice. Different methods for identifying determinants have been used in implementation projects, but which methods are most appropriate to use is unknown. Methods The study was undertaken in five European countries, recommendations for a different chronic condition being addressed in each country: Germany (polypharmacy in multimorbid patients); the Netherlands (cardiovascular risk management); Norway (depression in the elderly); Poland (chronic obstructive pulmonary disease—COPD); and the United Kingdom (UK) (obesity). Using samples of professionals and patients in each country, three methods were compared directly: brainstorming amongst health professionals, interviews of health professionals, and interviews of patients. The additional value of discussion structured through reference to a checklist of determinants in addition to brainstorming, and determinants identified by open questions in a questionnaire survey, were investigated separately. The questionnaire, which included closed questions derived from a checklist of determinants, was administered to samples of health professionals in each country. Determinants were classified according to whether it was likely that they would inform the design of an implementation intervention (defined as plausibly important determinants). Results A total of 601 determinants judged to be plausibly important were identified. An additional 609 determinants were judged to be unlikely to inform an implementation intervention, and were classified as not plausibly important. Brainstorming identified 194 of the plausibly important determinants, health professional interviews 152, patient interviews 63, and open questions 48. Structured group discussion identified 144 plausibly important determinants in addition to those already identified by brainstorming. Conclusions Systematic methods can lead to the identification of large numbers of determinants. Tailoring will usually include a process to decide, from all the determinants that are identified, those to be addressed by implementation interventions. There is no best buy of methods to identify determinants, and a combination should be used, depending on the topic and setting. Brainstorming is a simple, low cost method that could be relevant to many tailored implementation projects. Electronic supplementary material The online version of this article (doi:10.1186/s13012-014-0102-3) contains supplementary material, which is available to authorized users.
              Article 0 comments Cited 79 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): BMJ Open
                Journal ID (iso-abbrev): BMJ Open
                Journal ID (hwp): bmjopen
                Journal ID (publisher-id): bmjopen
                Title: BMJ Open
                Publisher: BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                ISSN (Electronic): 2044-6055
                Publication date Collection: 2019
                Publication date (Electronic): 22 June 2019
                Volume: 9
                Issue: 6
                Electronic Location Identifier: e030524
                Affiliations
                [1 ] departmentCentre for Family and Community Medicine , Medical University of Lodz , Lodz, Poland
                [2 ] departmentDivision of Public Health, Faculty of Medical Sciences , Medical University of Lodz , Lodz, Poland
                Author notes
                [Correspondence to ] Dr Maciek Godycki-Cwirko; maciekgc@ 123456uni.lodz.pl
                Author information
                http://orcid.org/0000-0002-8085-7316
                Article
                Publisher ID: bmjopen-2019-030524
                DOI: 10.1136/bmjopen-2019-030524
                PMC ID: 6596986
                PubMed ID: 31230036
                SO-VID: f83e5a5c-42a2-4272-b6e8-ef7685dc9774
                Copyright © © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
                License:

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                Date received : 19 March 2019
                Date revision received : 06 June 2019
                Date accepted : 07 June 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004281, Narodowe Centrum Nauki;
                Categories
                Subject: Public Health
                Subject: Protocol
                Subject: 1506
                Subject: 1724
                Custom metadata
                special-feature unlocked

                ScienceOpen disciplines: Medicine
                Keywords: elderly,copd,local community,medical big data,copd prevalence,exacerbations
                Data availability:
                ScienceOpen disciplines: Medicine
                Keywords: elderly, copd, local community, medical big data, copd prevalence, exacerbations

                Comments

                Comment on this article

                scite_

                Similar content140

                See all similar

                Cited by1

                See all cited by

                Most referenced authors1,416

                See all reference authors