Healthcare access: A sequence-sensitive approach. (December 2017)

• Record Type: Journal Article
• Authors: Haenssgen, Marco J.; Ariana, Proochista
• Is Part Of: SSM - population health. Volume 3(2017)
• Page Start: 37
• Page End: 47
• Publication Date: 2017-12
• Subjects: India -- China -- Healthcare-seeking behavior -- Sequence analysis -- Methodology -- Rural survey; Social medicine -- Periodicals; Medical anthropology -- Periodicals; Public health -- Periodicals; Psychology -- Periodicals; Medicine -- Periodicals; 362.105
• DOI: 10.1016/j.ssmph.2016.11.008
• Languages: English
• ISSNs: 2352-8273

Abstract

Abstract: It is widely accepted that healthcare-seeking behaviour is neither limited to nor terminated by access to one single healthcare provider. Yet the sequential conceptualisation of healthcare-seeking processes has not diffused into quantitative research, which continues to analyse healthcare access as a "one-off" event. The ensuing lack of understanding healthcare behaviour is problematic in light of the immense burden of premature death especially in low- and middle-income countries. This paper presents an alternative approach. Based on a novel survey instrument, we analyse original survey data from rural India and China that contain 119 unique healthcare pathways among 637 respondents. We offer three applications of how such sequential data can be analysed to enhance our understanding of people's health behaviour. First, descriptive analysis of sequential data enables more a comprehensive representation of people's health behaviours, for example the time spent in various healthcare activities, common healthcare pathways across different groups, or shifts in healthcare provider access during a typical illness. Second, by analysing the effect of mobile technology on healthcare-seeking process characteristics, we demonstrate that conventional, sequence-insensitive indicators are potentially inconsistent and misleading approximations when compared to a more precise, sequence-sensitive measure. Third, we describe how sequential data enable transparent and flexible evaluations of people's healthcare behaviour. The example of a sequence-insensitive evaluation suggests that household wealth has no statistical link to an illustrative "ideal" form of public healthcare utilisation. In contrast, sequence-sensitive evaluations demonstrate that household wealth is associated with an increased likelihood of bypassing referral processes and approaching unregulated and costly informal and private practitioners before accessing a public clinic. Sequential data therefore do not only reveal otherwise neglected locational idiosyncrasies, but they also yield deeper insights into the drivers of people's health behaviours compared to a conventional approach to "access to healthcare." Highlights: Despite its sequential nature, healthcare seeking is often analysed as single event. We demonstrate the value of sequential healthcare data analysis. Descriptive analysis exposes otherwise neglected behavioural patterns. Sequence-insensitive indicators can be inconsistent and misleading. Sequence-sensitive evaluation hints at adverse behaviours of wealthy patients.