Reducing the global diseases burden requires effective diagnosis and treatment. In the developing world, accurate diagnosis can be the most expensive and time-consuming aspect of health care. Healthcare cost can, however, be reduced by use of affordable rapid diagnostic tests (RDTs). In the developed world, low-cost RDTs are being developed in many research laboratories; however, they are not being equally adopted in the developing countries. This disconnect points to a gap in the design philosophy, where parameterization of design variables ignores the most critical component of the system, the point-of-use stakeholders (e.g., doctors, nurses and patients). Herein, we demonstrated that a general focus on reducing cost (i.e., “low-cost”), rather than efficiency and reliability is misguided by the assumption that poverty reduces the value individuals place on their well-being. A case study of clinicians in Kenya showed that “zero-cost” is a low-weight parameter for point-of-use stakeholders, while reliability and standardization are crucial. We therefore argue that a user-driven, value-addition systems-engineering approach is needed for the design of RDTs to enhance adoption and translation into the field.

Policy and program interventions for older adults 60 years or older in Africa have consistently been undermined by a lack of vital data as they are usually excluded from nationally representative population surveys. The Health and Wellbeing of Older Persons in Kenya (HWOPs-1) study developed a standardized assessment questionnaire that can be used for periodic data generation. This study presents how the questionnaire was developed and examines its internal consistency and psychometric properties of the health module. The development and validation of the HWOPs-1 questionnaire was a 3-step process. Step 1 was a review of 19 panel studies and 2 national level surveys followed by a wide consultation with key experts and stakeholders on aging. The 3rd step was validation of the questionnaire with a cross-section of a representative sample to test its applicability and adaptability in a mix of rural and semi-urban settings. The internal consistency and psychometric properties of the 3 subscales: functionality, disability, and quality of life were assessed using Cronbach’s (α) alpha and exploratory factor analysis, respectively. Three subscales of functionality, disability, and quality of life showed high internal consistency with α = 0.94, 0.97, and 0.87, respectively. There were also consistent factor loadings above 0.3 across all the factors. Gender differences across the 3 scales from the results of t test were observed. Finally, weak but statistically significant correlations between the measures of well-being and risk factors for noncommunicable diseases were also observed from the analyses. The indicators assessed have been used in settings outside Africa to measure health and well-being of older adults are adaptable and reliable enabling comparability across space and across studies. The questionnaire provides a framework for examining disease and disability burden and their determinants among older adults in Kenya or similar settings.