Trends and determinants in reimbursement decision-making in Poland in the years 2013–2015
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Objective: To assess changes in the involvement of advisory bodies in the reimbursement decision-making process in Poland, and to evaluate variables that influenced HTA recommendations in the years 2013–2015.
Research design and methods: Two independent contributors reviewed the statements of the TC, recommendations issued by the president of the AOTMiT and reimbursement decisions of the MoH for the years 2013–2015. We collected data on the type of recommendations and variables influencing the HTA recommendations. Data were analysed using the χ2 test, trend test, kappa coefficient of agreement, and ordinal logistic regression.
Results: We collected 267 records including 263 statements of the TC and 265 HTA recommendations; the share of positive HTA recommendations changed from 73% in 2013 through 79% in 2014 to 42% in 2015. The kappa coefficient for the association between statements and recommendations decreased from 0.91 in 2013 through 0.86 in 2014 to 0.53 in 2015. The agreement between the reimbursement decisions of the MoH and the HTA recommendations was 0.29 in 2013, 0.22 in 2014 and 0.26 in 2015, which represents fair agreement.
Conclusions: Our study revealed a fair agreement between the AOTMiT recommendations and the MoH decisions; the association was especially weak in 2015.