Questionnaires for Lung Health in Africa across the Life Course
Sepeedeh Saleh,
Richard Van Zyl-Smit,
Brian Allwood,
Herve Lawin,
Bertrand Hugo Mbatchou Ngahane,
Irene Ayakaka,
Elvis Moyo,
Asma El-Sony,
Kevin Mortimer and
Jamie Rylance
Additional contact information
Sepeedeh Saleh: Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK
Richard Van Zyl-Smit: Division of Pulmonology, University of Cape Town, Rondebosch 7701, South Africa
Brian Allwood: Division of Pulmonology, University of Cape Town, Rondebosch 7701, South Africa
Herve Lawin: Unit of Teaching and Research in Occupational Health and Environment, University of Abomey-Calavi, Calavi, Cotonou 01 BP 526, Benin
Bertrand Hugo Mbatchou Ngahane: Douala General Hospital, Department of Internal Medicine, Douala, Cameroon
Irene Ayakaka: Makerere University College of Health sciences; Uganda Tuberculosis implementation Research Consortium (U-TIRC), Kampala 7072, Uganda
Elvis Moyo: Malawi Liverpool Wellcome Trust Clinical Research Programme, Queen Elizabeth Central Hospital, College of Medicine, Chichiri 30096, Blantyre 3, Malawi
Asma El-Sony: Epidemiological Labarotory (EpiLab) for Public Health Khartoum 3, Block 3- Building 11, Khartoum, Sudan
Kevin Mortimer: Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK
Jamie Rylance: Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK
IJERPH, 2018, vol. 15, issue 8, 1-7
Abstract:
Respiratory infections remain a leading cause of morbidity and mortality in many low and middle-income countries but non-communicable disease rates are rising fast. Prevalence studies have been primarily symptom-focused, with tools developed in countries in the Global North such as the United States and the United Kingdom. Systematic study in sub-Saharan African populations is necessary to accurately reflect disease risk factors present in these populations. We present tools for such studies, developed as part of the International Multidisciplinary Programme to Address Lung Health and TB in Africa (‘IMPALA’), which includes lay representatives. At a preliminary meeting, the adequacy and suitability of existing tools was discussed and a new questionnaire set proposed. Individual questionnaires were developed, and an expert panel considered content and criterion validity. Questionnaires underwent a cross-cultural adaptation process, incorporating translation and contextual ‘sense-checking’, through the use of pre-established lay focus groups in Malawi, before consensus-approval by project collaborators. The complete set of research questionnaires, providing information on lung health symptoms and a relevant range of potential risk factors for lung disease, is now available online. In developing the tools, cultural and contextual insights were important, as were translational considerations. The process benefitted from a foundation in expert knowledge, starting with validated tools and internationally respected research groups, and from a coordinated collaborative approach. We present and discuss a newly devised, contextually appropriate set of questionnaires for non-communicable lung disease research in Africa that are now available in open access for all to use.
Keywords: lung heath; symptoms; air pollution; tuberculosis; COPD; questionnaires; cross-cultural adaptation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1660-4601/15/8/1615/pdf (application/pdf)
https://www.mdpi.com/1660-4601/15/8/1615/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:15:y:2018:i:8:p:1615-:d:160933
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().