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Related Experiment Video

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Comparative Lesions Analysis Through a Targeted Sequencing Approach
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Healthcare access: A sequence-sensitive approach.

Marco J Haenssgen1,2,3,4,5, Proochista Ariana1,3

  • 1Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford OX3 7FZ, UK.

SSM - Population Health
|January 20, 2018
PubMed
Summary

Understanding patient healthcare-seeking behaviour requires analyzing sequential pathways, not just single access points. This study reveals how sequential data offers deeper insights into health-seeking processes and drivers, especially in low- and middle-income countries.

Keywords:
ChinaHealthcare-seeking behaviorIndiaMethodologyRural surveySequence analysis

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Area of Science:

  • Health Services Research
  • Medical Sociology
  • Health Economics

Background:

  • Healthcare-seeking behavior is complex and often involves multiple providers, yet quantitative research typically treats healthcare access as a single event.
  • This
  • one-off
  • approach overlooks crucial aspects of patient journeys, particularly in low- and middle-income countries (LMICs) facing high burdens of premature death.

Purpose of the Study:

  • To introduce and demonstrate an alternative analytical approach for understanding healthcare-seeking behavior using sequential data.
  • To highlight the limitations of conventional, sequence-insensitive methods and the advantages of sequence-sensitive analysis.

Main Methods:

  • Developed and utilized a novel survey instrument to collect original data on healthcare pathways from 637 respondents in rural India and China.
  • Analyzed 119 unique healthcare pathways using sequence-sensitive and sequence-insensitive methods.

Main Results:

  • Descriptive analysis of sequential data provides a comprehensive view of health behaviors, including time spent, common pathways, and provider shifts during illness.
  • Sequence-sensitive analysis revealed that mobile technology use influences healthcare-seeking processes more accurately than conventional indicators.
  • Household wealth was linked to bypassing referral systems and utilizing informal/private providers before public clinics, a finding obscured by sequence-insensitive evaluations.

Conclusions:

  • Sequential analysis of healthcare-seeking behavior offers richer, more accurate insights than traditional
  • one-off
  • access measures.
  • This approach is crucial for understanding health behavior drivers and improving healthcare strategies, especially in LMICs.
  • The study demonstrates the utility of sequential data in revealing nuanced patient journeys and the impact of socioeconomic factors on healthcare utilization.