Maxwell Ayindenaba Dalaba, Engelbert A Nonterah, Samuel T Chatio, James K Adoctor, Edith Dambayi, Esmond W Nonterah, Stephen Azalia, Doreen Ayi-Bisah, Agnes Erzse, Daniella Watson, Polly Hardy-Johnson, Sarah H Kehoe, Aviva Tugendhaft, Kate Ward, Cornelius Debpuur, Abraham Oduro, Winfred Ofosu, Marion Danis, Mary Barker
Engaging community members in setting priorities for nutrition interventions in rural northern Ghana
PLOS global public health
aim study assess social preferences two different advanced digital health technologies investigate contextual dependency preferences crosssectional online survey performed among general population hungary aged 40 years participants asked imagine needed total hip replacement surgery indicate whether would prefer traditional robotassisted ra hip surgery better understand preferences chosen method willingness pay wtp method used assessment conducted preferences radiologists aibased image analysis establishing radiological diagnosis suspected tumour respondents electronic health literacy assessed eheals questionnaire descriptive methods used assess sample characteristics differences subgroups associations investigated correlation analysis multiple linear regressions altogether 1400 individuals 537 female mean age 583 sd 111 years filled survey ra hip surgery chosen 762 544 respondents 470 336 chose aibased medical image evaluation opted digital technology significantly higher educational levels electronic health literacy eheals majority respondents willing pay secure preferred surgical surgeon 672 robotassisted 688 image assessment radiologist 709 ai 774 methods reporting similar average amounts first p 0677 significantly higher average amount radiologist vs ai second task p 0001 regression showed significant association wtp income hip surgery task also revealed association type intervention chosen individuals higher education levels seem accept advanced digital medical technologies however greater openness ra surgery ai image assessment highlights social preferences may depend considerably medical situation type advanced digital technology wtp results suggest rather firm preferences great majority cases determinants preferences realworld choices affected patients investigated future studies