Measuring The Impact Of Cash Transfers And Behavioral 'Nudges' On Maternity Care In Nairobi, Kenya

Health Aff (Millwood). 2017 Nov;36(11):1956-1964. doi: 10.1377/hlthaff.2017.0537.

Abstract

Many patients in low-income countries express preferences for high-quality health care but often end up with low-quality providers. We conducted a randomized controlled trial with pregnant women in Nairobi, Kenya, to analyze whether cash transfers, enhanced with behavioral "nudges," can help women deliver in facilities that are consistent with their preferences and are of higher quality. We tested two interventions. The first was a labeled cash transfer (LCT), which explained that the cash was to help women deliver where they wanted. The second was a cash transfer that combined labeling and a commitment by the recipient to deliver in a prespecified desired facility as a condition of receiving the final payment (L-CCT). The L-CCT improved patient-perceived quality of interpersonal care but not perceived technical quality of care. It also increased women's likelihood of delivering in facilities that met standards for routine and emergency newborn care but not the likelihood of delivering in facilities that met standards for obstetric care. The LCT had fewer measured benefits. Women preferred facilities with high technical and interpersonal care quality, but these quality measures were often negatively correlated within facilities. Even with cash transfers, many women still used poor-quality facilities. A larger study is warranted to determine whether the L-CCT can improve maternal and newborn outcomes.

Keywords: Access To Care; Developing World < International/global health studies; Health Economics; Maternal And Child Health; Quality Of Care.

Publication types

  • Randomized Controlled Trial

MeSH terms

  • Adult
  • Developing Countries
  • Female
  • Health Expenditures*
  • Health Services Accessibility* / standards
  • Humans
  • Infant, Newborn
  • Kenya
  • Maternal Health Services / standards*
  • Maternal Health Services / statistics & numerical data*
  • Obstetrics / standards
  • Poverty
  • Pregnancy
  • Quality of Health Care / standards