Trying to do more Good than Harm in Policy and Practice: The Role of Rigorous, Transparent, Up-to-Date Evaluations

2003 The Annals of the American Academy of Political and Social Science 224 citations

Abstract

Because professionals sometimes do more harm than good when they intervene in the lives of other people, their policies and practices should be informed by rigorous, transparent, up-to-date evaluations. Surveys often reveal wide variations in the type and frequency of practice and policy interventions, and this evidence of collective uncertainty should prompt the humility that is a precondition for rigorous evaluation. Evaluation should begin with systematic assessment of as high a proportion as possible of existing relevant, reliable research, and then, if appropriate, additional research. Systematic, up-to-date reviews of research—such as those that the Cochrane and Campbell Collaborations endeavor to prepare and maintain—are designed to minimize the likelihood that the effects of interventions will be confused with the effects of biases and chance. Policy makers and practitioners can choose whether, and if so how, they wish their policies and practices to be informed by research. They should be clear, however, that the lives of other people will often be affected by the validity of their judgments.

Keywords

HarmPsychological interventionHumilitySystematic reviewPsychologyPublic relationsEngineering ethicsPolitical scienceSocial psychologyMEDLINELawEngineering

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Publication Info

Year
2003
Type
article
Volume
589
Issue
1
Pages
22-40
Citations
224
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

224
OpenAlex
11
Influential
147
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Cite This

Iain Chalmers (2003). Trying to do more Good than Harm in Policy and Practice: The Role of Rigorous, Transparent, Up-to-Date Evaluations. The Annals of the American Academy of Political and Social Science , 589 (1) , 22-40. https://doi.org/10.1177/0002716203254762

Identifiers

DOI
10.1177/0002716203254762

Data Quality

Data completeness: 77%