Table 2.
Criteria for quality assessment, based on the criteria for quality assessment from the Swedish Council on Technology Assessment in Health Care (SBU) [10]
| Design* | I=High | II=Medium | III=Low |
| RCT | Large and well accomplished multi-center study with sufficient descriptions of protocol, material, and methods. Enough sample size to answer the questions at issue. | neither high nor low | Sample size too small and/or too many interventions to give enough statistical power. Indistinctly described and high participant drop-out rate. |
| CCT | Well defined questions at issue, sufficient sample size and adequate statistics. | neither high nor low | Small sample size and questionable statistical methods. |
| DS | Large and well defined consecutive sample analyzed with adequate statistics, long follow-up. | neither high nor low | Small sample size, indistinctly described, follow-up too short, or inadequate statistics. |
| Q | Well defined questions at issue. Relevant and well described selection, data collection, and analysis. Logically and understandable interpretations and conclusions. Good communicability and conclusions. | neither high nor low | Insufficiently defined questions at issue, selection indistinctly described. Insufficiently described data collection, analysis, interpretations, and conclusions. Indistinct communicability and conclusions. |
*RCT = randomized controlled trial, CCT=quasi controlled trial, DS=descriptive study, Q=qualitative study.