Can a Low-Budget Questionnaire Support Improved Health Service Accessibility and Sustainability: Results from an...

IntroductionIn sustainable development, time is a physically limited resource affecting economic and social sustainability. In healthcare systems, the time of healthcare staff is linked to economic constraints, while the time patients spend travelling and receiving treatment affects social sustainability, including access to healthcare services. Reducing time costs in healthcare may contribute to several of the 17 Sustainable Development Goals (SDGs) within Agenda 2030. This exploratory study aimed to: (i) probe whether a low-budget questionnaire combined with standardised data processing could estimate time costs for patients, their employers, and healthcare personnel associated with a healthcare visit; (ii) generate initial estimates of sustainability impacts of time costs, in physical and monetary terms.MethodsThe study explored whether this low-budget approach could generate results of sufficient quality to inform choices aimed at improving healthcare accessibility. Patients with diabetes attending a healthcare facility for therapeutic footwear completed a questionnaire regarding time spent travelling and treatment. Healthcare staff time was recorded. Results were analysed and presented in physical and monetary terms.ResultsThe questionnaire generated information that was processed into estimates of parameters of strategic importance for choices supporting sustainability and access in healthcare systems in urban and rural areas. For the 101 patients included, the total time used was 360.6 hours, of which 23% represented employers' time, 49% patients' private time, and 28% healthcare staff time. The total estimated monetary value of time consumed was SEK 142,911 (USD 13,466), with 33% related to employers' time, 13% to patients' time, and 54% to healthcare staff time. The estimated mean cost per visit ranged from SEK 1,233 (USD 116.2) to SEK 1,944 (USD 183.2).ConclusionsThe low-cost questionnaire and data-processing approach appears promising for estimating time costs for patients, employers, and healthcare staff, thereby supporting decisions aimed at improving healthcare accessibility and sustainability.