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Equity in access to non-communicable disease medicines: a cross-sectional study in Kenya
  1. Peter C Rockers1,
  2. Richard O Laing1,2,
  3. Veronika J Wirtz1
  1. 1Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA
  2. 2Department of Demography and Population Studies, University of the Witwatersrand, Johannesburg, South Africa
  1. Correspondence to Dr Peter C Rockers; prockers{at}bu.edu

Abstract

Introduction Wealth-based inequity in access to medicines is an impediment to achieving universal health coverage in many low-income and middle-income countries. We explored the relationship between household wealth and access to medicines for non-communicable diseases (NCDs) in Kenya.

Methods We administered a cross-sectional survey to a sample of patients prescribed medicines for hypertension, diabetes or asthma. Data were collected on medicines available in the home, including the location and cost of purchase. Household asset information was used to construct an indicator of wealth. We analysed the relationship between household wealth and various aspects of access, including the probability of having NCD medicines at home and price paid.

Results Among 639 patients interviewed, hypertension was the most prevalent NCD (69.6%), followed by diabetes (22.2%) and asthma (20.2%). There was a positive and statistically significant association between wealth and having medicines for patients with hypertension (p=0.020) and asthma (p=0.016), but not for diabetes (p=0.160). Poorer patients lived farther from their nearest health facility (p=0.050). There was no relationship between household wealth and the probability that the nearest public or non-profit health facility had key NCD medicines in stock, though less poor patients were significantly more likely to purchase medicines at better stocked private outlets. The relationship between wealth and median price paid for metformin by patients with diabetes was strongly u-shaped, with the middle quintile paying the lowest prices and the poorest and least poor paying higher prices. Patients with asthma in the poorest wealth quintile paid more for salbutamol than those in all other quintiles.

Conclusion The poorest in Kenya appear to face increased barriers to accessing NCD medicines as compared with the less poor. To achieve universal health coverage, the country will need to consider pro-poor policies for improving equity in access.

  • health systems
  • asthma
  • diabetes
  • hypertension
  • cross-sectional survey

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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Footnotes

  • Handling editor Soumitra Bhuyan

  • Contributors PCR, ROL and VJW contributed to the conception, design and conduct of the study. PCR analysed the study data. PCR, ROL and VJW interpreted the study data. PCR wrote the first draft of the manuscript. PCR, ROL and VJW contributed important intellectual content to subsequent drafts of the manuscript. All authors have read and approved the final manuscript.

  • Funding Sandoz International GmbH provided funding for this study. The funding agreement is available online (http://sites.bu.edu/evaluatingaccess-accessaccelerated/agreements/).

  • Disclaimer The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

  • Competing interests None declared.

  • Patient consent Obtained.

  • Ethics approval The study protocol was approved by the Institutional Review Boards at Strathmore University in Kenya and at Boston University in the USA.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement Data from this study can be accessed online (sites.bu.edu/evaluatingaccess-novartisaccess/kenya/baseline-database-download/).

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