Table 4 Ranked technical issues, presented as groups of related issues and by rank
Priority rank | Technical issue | Score | Frequency in first rank |
|---|---|---|---|
Lack of relevant data | |||
1 | Lack of high-quality local clinical data, where such data are critical to the decision | 80 | 21% |
3 | Insufficient data to conduct study from chosen perspective | 57 | 9% |
5 | Absence of locally relevant health state preference data suitable for estimating QALYs or DALYs | 43 | 7% |
Lack of commonly accepted standard or methods | |||
2 | Poor reporting | 67 | 21% |
4 | A lack of commonly accepted standards for economic evaluation that is relevant to the LMIC for which the analysis is undertaken | 57 | 19% |
Inappropriate use of methods | |||
6 | Inappropriate choice of comparator(s) | 29 | 7% |
7 | No budget constraints or thresholds considered | 26 | 5% |
8 | Generalisability not discussed | 14 | 3% |
10 | Equity and/or gender implications not considered | 12 | 0% |
11 | No incremental analysis | 11 | 1% |
12 | No, or inappropriate, sensitivity analysis | 10 | 0% |
13 | All impacts implied by the chosen perspective not investigated | 10 | 3% |
15 | Time horizon too short to capture relevant costs and health effects | 9 | 1% |
Inappropriate use of data | |||
9 | Clinical data not based on systematic review or primary clinical data not compared with similar studies done elsewhere | 12 | 1% |
14 | Uncritical use of charges for cost data | 9 | 1% |