TY - JOUR
T1 - Exploring social preferences for health and wellbeing across the digital divide
T2 - a qualitative investigation based on tasks taken from an online discrete choice experiment
AU - Field, Becky
AU - Smith, Katherine E
AU - O'Connor, Clementine Hill
AU - Wickramasekera, Nyantara
AU - Tsuchiya, Aki
PY - 2025/2
Y1 - 2025/2
N2 - Increasingly, discrete choice experiments (DCEs) are conducted online, with little consideration of the digitally-excluded, who are unable to participate. Policymakers or others considering online research data need clarity about how views might differ across this 'digital divide'. We took tasks from an existing online DCE designed to elicit social preferences for health and wellbeing outcomes. We aimed to explore: i) How telephone interview participants answered a series of choice tasks taken from an online DCE; and ii) Whether and how decision-making for these tasks differed between digitally-excluded and non-excluded participants. Semi-structured telephone interviews with members of the public (n=27), recruited via an existing social research panel. Data were analysed thematically to identify key approaches to decision making. Twelve participants were classed as 'digitally-excluded', and 15 as 'digitally non-excluded'. Responses were similar between the two samples for the majority of choice tasks. We identified three approaches used to reach decisions: (1) simplifying; (2) creating explanatory narratives; and (3) personalising. Whilst these approaches were common across both samples, understanding the exercise appeared more challenging for the digitally- excluded sample. This novel study provides some assurance that the participants' views over the choice tasks used are similar across the digital divide. The challenges we identify with understanding highlight the need to be careful examining the views held by the digitally-excluded. If online data are to inform policy-making, it is essential to explore the views of those who cannot participate in online DCEs. [Abstract copyright: Copyright © 2024. Published by Elsevier Inc.]
AB - Increasingly, discrete choice experiments (DCEs) are conducted online, with little consideration of the digitally-excluded, who are unable to participate. Policymakers or others considering online research data need clarity about how views might differ across this 'digital divide'. We took tasks from an existing online DCE designed to elicit social preferences for health and wellbeing outcomes. We aimed to explore: i) How telephone interview participants answered a series of choice tasks taken from an online DCE; and ii) Whether and how decision-making for these tasks differed between digitally-excluded and non-excluded participants. Semi-structured telephone interviews with members of the public (n=27), recruited via an existing social research panel. Data were analysed thematically to identify key approaches to decision making. Twelve participants were classed as 'digitally-excluded', and 15 as 'digitally non-excluded'. Responses were similar between the two samples for the majority of choice tasks. We identified three approaches used to reach decisions: (1) simplifying; (2) creating explanatory narratives; and (3) personalising. Whilst these approaches were common across both samples, understanding the exercise appeared more challenging for the digitally- excluded sample. This novel study provides some assurance that the participants' views over the choice tasks used are similar across the digital divide. The challenges we identify with understanding highlight the need to be careful examining the views held by the digitally-excluded. If online data are to inform policy-making, it is essential to explore the views of those who cannot participate in online DCEs. [Abstract copyright: Copyright © 2024. Published by Elsevier Inc.]
KW - wellbeing
KW - semi-structured interviews
KW - discrete choice experiments
KW - health
KW - qualitative research
KW - preference elicitation
KW - digital exclusion
KW - telephone interviews
U2 - 10.1016/j.jval.2024.11.001
DO - 10.1016/j.jval.2024.11.001
M3 - Article
C2 - 39579933
SN - 1098-3015
VL - 28
SP - 285
EP - 293
JO - Value in Health
JF - Value in Health
IS - 2
ER -