Improving uptake of non-communicable disease screening in Sri Lanka

Eliciting people’s preferences using a discrete choice experiment

Bibliographic Data

ID16763140
AuthorsSumudu Karunaratna (0000-0001-6482-4007, Office of the Deputy Director General, Public Health Services, Ministry of Health, 385, Ven. Baddegama Wimalawansa Thero Mawatha, Colombo 10, 01000, Sri Lanka, corresponding author), Manuj C Weerasinghe (0000-0001-6402-304X, University of Colombo), Thushara Ranasinghe (0000-0002-8789-7337, World Health House, South East Asia Region, Indraprastha Estate, Mahatma Gandhi Marg, New Delhi 110 002, India), Rohan Jayasuriya (0000-0003-3108-2304, UNSW Sydney), Nadeeka Chandrarathne (0000-0002-3093-9102, University of Colombo), Nadeeka Chandraratne (University of Colombo), Hemantha Herath (0009-0002-8458-5853, Education, Research and Training Unit, Ministry of Health, 385, Ven. Baddegama Wimalawansa Thero Mawatha, Colombo 10, 01000, Sri Lanka), Matthew Quaife (0000-0001-9291-1511, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK)
Year2022
Volume37
Issue2
Pages218-231
Publication date2022-02-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHealth Policy and Planning (JOURNAL)
Journal identifiersISSN: 0268-1080 • E-ISSN: 1460-2237
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/heapol/czab141
PMID34893842
OpenAlexW4200380093
LanguageEN
Citations received1
References cited32

A national programme to universally screen the population between 35 and 65 years for non-communicable diseases was established at ‘Healthy Lifestyle Centres (HLCs)’ in 2011 in Sri Lanka. Despite several efforts by policymakers, the uptake of screening remained 2 hours and Rs. 1000 with unfriendly staff. Thus, people’s preferences on service delivery aspects seemed to have differed from government priorities. Preferences when ill and apparently healthy differed, as they preferred to spend less time and money when healthy than when ill

Business · Economics · Environmental health · Multinomial logistic regression · Population · Socioeconomics · Stakeholder · Statistics · Stratified sampling · Consumer Attitudes and Food Labeling · Global Public Health Policies and Epidemiology · Medicine · Obesity, Physical Activity, Diet