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Kane RL, Johnson PE, Town RJ, et al. Economic Incentives for Preventive Care. Rockville (MD): Agency for Healthcare Research and Quality (US); 2004 Aug. (Evidence Reports/Technology Assessments, No. 101.)

  • This publication is provided for historical reference only and the information may be out of date.

This publication is provided for historical reference only and the information may be out of date.

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Economic Incentives for Preventive Care.

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Appendix E. Algorithm

Domain ElementsScore (1–5 (poor -appropriate)Importance Category
Study Data Structure: ___ Cross-Section ___ Cross Section/Time Series
1. Is there an appropriate control group in the data?1
2. Can the treatment be viewed as independent of factors unobserved to the researcher or did the researcher employ appropriate methods to correct for selection/attrition/omitted variable bias in the treatment?1
3. Does the study's conclusions follow from the statistical estimates?1
4. Is the set of control variables appropriate?2
5. How closely does the study's objective(s) match the research issue of interest?2
6. How representative of the relevant population is the sample population?2
7. Are the outcome variables reliable measures of the outcome of interest?2
8. Are the treatment variables reliable measures of the intervention of interest?2
9. Are the statistical methods for estimating the effect of the treatment appropriate given the nature of the data?2
10. How precise are the coefficient estimates?2
11. Are the standard errors appropriately calculated given the estimation methodology and the structure of the data?2
Study Category

Study Category:

1. Very Informative (a score of at least 4 in all importance category 1 segments and a mean of 4 across the remaining segments)

2. Informative but questions remain on generalizablity of findings (mean score of 3.5 across all categories and at least a 3 in all categories)

3. Not Informative (all other)

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