Kenyan EQ-5D-5L interviews exposed how local context shapes health-state valuation
The Kenyan EQ-5D-5L valuation exercise did more than assign numbers to abstract health states. It showed how people interpret illness, independence, and survival when asked to translate lived experience into utility values for economic evaluation.
In this embedded qualitative study, researchers examined what happened during valuation interviews conducted alongside Kenya’s national EQ-5D-5L study. Their goal was straightforward but important: understand how participants made sense of the instrument, what influenced their answers, and where the interview process itself may have affected the final valuations used in cost-effectiveness analysis.
The work matters because quality-adjusted life years depend on more than arithmetic. They rest on the assumption that respondents understand the health states they are asked to judge and that the instrument captures the dimensions of health they consider meaningful. In settings where economic evaluation is expanding quickly, those assumptions cannot be left untested.
Preferences were shaped by illness experience, finances, and social meaning
Twenty-three post-valuation in-depth interviews with community participants and 16 debrief sessions with valuation interviewers and field supervisors formed the qualitative backbone of the study. Interviews were conducted in English or Kiswahili, then transcribed, translated when needed, and analysed thematically.
Participants did not treat health states as detached descriptions. Their judgments were filtered through personal illness experience, the financial burden that illness can impose on households, beliefs about death, and social expectations around independence and worth. Local environmental conditions also entered the picture, reminding interviewers that health preferences are not formed in a vacuum.
A person who sees illness as a threat to family finances may weigh impairment differently from someone focused mainly on symptoms. A respondent who links dependence with loss of social value may rank mobility or self-care problems more severely than emotional distress. These are not minor interpretive details; they shape the utility values that eventually inform policy decisions.
Pain/discomfort, mobility, and usual activities emerged as the dimensions that often carried the greatest weight. Anxiety/depression generally received less emphasis. The pattern suggests that in this Kenyan context, visible and immediately limiting forms of impairment were often more salient than psychological distress when participants assigned value to health states.
One gap stood out clearly. Participants repeatedly identified health aspects they felt were not fully captured by the descriptive system, especially vision, speech, broader mental health concerns, and social relationships.
Missing domains point to a narrower view of health than participants held
The EQ-5D-5L includes five domains: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. That structure is efficient, but the Kenyan interviews showed that respondents were thinking about health in a broader way than the instrument allowed them to express.
Vision and speech are especially revealing omissions because they affect daily function, social participation, and independence without always fitting neatly into a generic five-domain frame. Social relationships matter for wellbeing in ways that can be difficult to compress into a single preference score. In community settings, impairment is rarely experienced as a single-axis problem.
This creates a practical challenge for valuation studies. If respondents believe the instrument leaves out core features of health, they may either compensate informally during the interview or accept a narrower frame than the one they would naturally use. Either path can influence the resulting utility values.
A valuation tool can be statistically elegant and still miss the lived shape of illness.
Language, literacy, and interruptions altered how interviews unfolded
The qualitative findings also exposed technical problems in administration. Some terms in the instrument produced linguistic and semantic challenges, which affected comprehension. Limited literacy, sensory difficulties, and caregiving responsibilities further shaped how participants engaged with the interviews.
Those barriers matter because valuation tasks depend on consistent interpretation. When wording is unfamiliar or conceptually ambiguous, respondents may not be comparing health states in the way the instrument designers intended. Field conditions can compound the problem: interruptions and competing responsibilities can reduce concentration, alter pacing, or force interviewers to repeat explanations in ways that change the tone of the task.
Interviewers and supervisors did not simply record these difficulties; they responded to them. They used strategies to preserve the intended logic of the valuation tasks, support comprehension, manage interruptions, and protect data quality. The debrief sessions show that quality control in this setting was active and adaptive rather than purely procedural.
That kind of fieldwork discipline is easy to overlook in published utility estimates. Yet the validity of those estimates depends on the people administering the tool as much as on the instrument itself.
Embedded qualitative methods strengthened interpretation of utility values
The study’s main contribution is methodological as well as substantive. By embedding qualitative interviews inside the valuation process, the investigators created a way to interpret the final numbers against the realities of administration and respondent understanding.
This approach can help decision-makers ask a more precise question when they see a set of utility values from Kenya: do the values reflect locally meaningful preferences, or do they partly reflect confusion, missing concepts, or interview friction? That distinction affects how confidently such values should be used in health technology assessment and resource allocation.
The manuscript also reinforces a broader point about generic preference-based measures in low- and middle-income settings. A tool designed for comparability across diseases still has to be legible to the people completing it. If the instrument’s vocabulary, domains, or interview format fail to match local ways of describing health, the resulting QALYs may be cleanly calculated but only partially grounded in lived experience.
For Kenya, the study suggests that the national EQ-5D-5L valuation exercise was shaped by both genuine health preferences and practical challenges of administration. The qualitative data do not invalidate the utility values. They do something more useful: they identify the assumptions behind them.
What the Kenyan valuation study leaves unresolved
The study does not quantify how much any single factor altered the final valuation set, and it does not test an alternative instrument against EQ-5D-5L. Its value lies in interpretation, not recalculation. Even so, the implications are immediate for future valuation work in African settings.
Researchers planning similar studies will need to decide whether standard descriptive systems are sufficiently inclusive, how to handle linguistic ambiguity, and how to train interviewers for interruptions and respondent fatigue. The Kenyan experience shows that the mechanics of valuation are inseparable from the social context in which they are carried out.
For health economists, the message is concrete. Utility values are only as robust as the conversations that produce them.