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Improving uptake of non-communicable disease screening in Sri Lanka: eliciting people's preferences using a discrete
Sumudu Karunaratna1, Manuj C Weerasinghe2, Thushara Ranasinghe3
1Office of the Deputy Director General, Public Health Services, Ministry of Health, 385, Ven. Baddegama Wimalawansa Thero Mawatha, Colombo 10, 01000, Sri Lanka.
Abstract:
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 <10% of the target population and with disparities in uptake across districts and among men and women. Considering service beneficiaries as a vital stakeholder, a discrete choice experiment was carried out to estimate people's preference for a non-communicable disease screening service delivery model in rural, urban and estate sectors in a district in Sri Lanka. The choice design and the general survey questionnaire was developed through focus group discussions, literature reviews and stakeholder consultations. Data were collected by stratified random sampling, with 187 participants from the urban sector, 253 from the rural sector and 152 from the estate/plantation sector. People's preference was assessed as utility estimates derived using multinomial logistic regression. Reliability was assessed within test among all study participants and with test-retest among 40 participants showed 80% precision. Urban and rural sectors gave the highest priority to workplace screening over screening at HLCs. The estates attributed the highest priority for cost-free screening. If cost-free screening is offered with having to spend 1-2 hours at the most preferred opening times for each sector with warm and friendly staff, the uptake of screening can predicted to be increased by 65, 29 and 21 times in urban, rural and estate sectors, respectively, relative to having to attend HLCs from 8 a.m. to 4 p.m., spending >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.
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