Using the Hawthorne effect to examine the gap between a doctor's best possible practice and actual performance
Kenneth Leonard () and
Melkiory C. Masatu
Journal of Development Economics, 2010, vol. 93, issue 2, 226-234
Many doctors in developing countries provide considerably lower quality care to their patients than they have been trained to provide. The gap between best possible practice and actual performance (often referred to as the know-do gap) is difficult to measure among doctors who differ in levels of training and experience and who face very different types of patients. We exploit the Hawthorne effect-in which doctors change their behavior when a researcher comes to observe their practices-to measure the gap between best and actual performance. We analyze this gap for a sample of doctors and also examine the impact of the organization for which doctors work on their performance. We find that some organizations succeed in motivating doctors to work at levels of performance that are close to their best possible practice. This paper adds to recent evidence that motivation can be as important to health care quality as training and knowledge.
Keywords: Motivation; Practice; quality; Health; care; Tanzania; Hawthorne; effect (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Using the Hawthorne Effect to Examine the Gap Between a Doctor's Best Possible Practice and Actual Performance (2008)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:deveco:v:93:y:2010:i:2:p:226-234
Access Statistics for this article
Journal of Development Economics is currently edited by M. R. Rosenzweig
More articles in Journal of Development Economics from Elsevier
Bibliographic data for series maintained by Nithya Sathishkumar ().