Literature DB >> 19291251

Rationale for the study methods and design of the epidemiology of lower urinary tract symptoms (EpiLUTS) study.

Karin S Coyne1, Chris C Sexton, Zoe S Kopp, Samantha Luks, Ashley Gross, Debra Irwin, Ian Milsom.   

Abstract

Accurate prevalence data on illnesses are of paramount importance for medical decision-making, healthcare planning, and the appropriate allocation of healthcare resources. When assessing the prevalence of any illness or health condition, it is important to base prevalence data on an assessment of the general population at large and not on selected groups of the population. Previous estimates of the prevalence of lower urinary tract symptoms (LUTS) have used postal surveys, telephone and in-person interviews, and, more recently, the Internet. Determining the mode of data collection for a research study is dictated by several factors, including target population, topic sensitivity, timeliness, and available resources. The purpose of this report is to document the rationale for conducting a large prevalence study of LUTS and its impact on patient outcomes using Internet- or Web-based surveys. A brief overview of important survey considerations is provided, and previous survey methods used in assessing the prevalence of LUTS discussed. The research objectives and sampling approach used in the EpiLUTS study in the USA, the UK and Sweden are presented, with a discussion of the advantages and disadvantages of this Internet-based sampling approach in relation to other epidemiological methods.

Entities:  

Mesh:

Year:  2009        PMID: 19291251     DOI: 10.1111/j.1464-410X.2009.08425.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  15 in total

1.  Prevalence and factors associated with uncomplicated storage and voiding lower urinary tract symptoms in community-dwelling Australian men.

Authors:  Sean A Martin; Matthew T Haren; Villis R Marshall; Kylie Lange; Gary A Wittert
Journal:  World J Urol       Date:  2010-10-21       Impact factor: 4.226

2.  Feasibility of internet-based health-related quality of life data collection in a large patient cohort.

Authors:  Sacha Bhinder; Noori Chowdhury; John Granton; Murray Krahn; D Elizabeth Tullis; Thomas K Waddell; Lianne G Singer
Journal:  J Med Internet Res       Date:  2010-08-19       Impact factor: 5.428

3.  Acute low back pain is marked by variability: An internet-based pilot study.

Authors:  Pradeep Suri; James Rainville; Garrett M Fitzmaurice; Jeffrey N Katz; Robert N Jamison; Julia Martha; Carol Hartigan; Janet Limke; Cristin Jouve; David J Hunter
Journal:  BMC Musculoskelet Disord       Date:  2011-10-05       Impact factor: 2.362

Review 4.  Epidemiology of lower urinary tract symptoms: emphasis on the status in Korea.

Authors:  Hakmin Lee; Seong Jin Jeong
Journal:  Korean J Urol       Date:  2014-05-12

5.  Population-Level Prevalence, Bother, and Treatment Behavior for Urinary Incontinence in an Eastern European Country: Findings from the LUTS POLAND Study.

Authors:  Mikolaj Przydacz; Marcin Chlosta; Piotr Chlosta
Journal:  J Clin Med       Date:  2021-05-26       Impact factor: 4.241

6.  Nocturia at the Population Level in Poland: Prevalence, Bother, Quality of Life, and Treatment-Related Behavior.

Authors:  Mikolaj Przydacz; Piotr Chlosta
Journal:  Healthcare (Basel)       Date:  2021-05-10

7.  Population-Based Study of Prevalence, Bother and Behavior Related to Treatment for Lower Urinary Tract Symptoms and Overactive Bladder among Polish Neurogenic Patients.

Authors:  Mikolaj Przydacz; Marcin Chlosta; Tomasz Golabek; Piotr Chlosta
Journal:  Brain Sci       Date:  2021-05-27

Review 8.  Overview of the Epidemiology of Lower Urinary Tract Dysfunction in South Korea.

Authors:  Hoon Choi; Jae Hyun Bae
Journal:  Int Neurourol J       Date:  2016-06-24       Impact factor: 2.835

9.  Association of lower urinary tract symptoms and OAB severity with quality of life and mental health in China, Taiwan and South Korea: results from a cross-sectional, population-based study.

Authors:  Kyu-Sung Lee; Tag Keun Yoo; Limin Liao; Jianye Wang; Yao-Chi Chuang; Shih-Ping Liu; Romeo Chu; Budiwan Sumarsono
Journal:  BMC Urol       Date:  2017-11-21       Impact factor: 2.264

10.  Volunteer Participation in the Health eHeart Study: A Comparison with the US Population.

Authors:  Xiaofan Guo; Eric Vittinghoff; Jeffrey E Olgin; Gregory M Marcus; Mark J Pletcher
Journal:  Sci Rep       Date:  2017-05-16       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.