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. 2022 Oct 6;12(1):16774.
doi: 10.1038/s41598-022-19860-8.

Prevalence of potentially inappropriate prescribing in older adults in Central and Eastern Europe: a systematic review and synthesis without meta-analysis

Affiliations

Prevalence of potentially inappropriate prescribing in older adults in Central and Eastern Europe: a systematic review and synthesis without meta-analysis

Jovana Brkic et al. Sci Rep. .

Erratum in

Abstract

We aimed to systematically review the prevalence of potentially inappropriate prescribing (PIP) in older adults in Central and Eastern Europe (CEE) in all care settings. We searched Embase and MEDLINE (up to June 2019) and checked the reference lists of the included studies and relevant reviews. Eligible studies used validated explicit or implicit tools to assess the PIP prevalence in older adults in CEE. All study designs were considered, except case‒control studies and case series. We assessed the risk of bias using the Joanna Briggs Institute Prevalence Critical Appraisal Tool and the certainty of evidence using the GRADE approach. Meta-analysis was inappropriate due to heterogeneity in the outcome measurements. Therefore, we used the synthesis without meta-analysis approach-summarizing effect estimates method. This review included twenty-seven studies with 139,693 participants. Most studies were cross-sectional and conducted in high-income countries. The data synthesis across 26 studies revealed the PIP prevalence: the median was 34.6%, the interquartile range was 25.9-63.2%, and the range was 6.5-95.8%. The certainty of this evidence was very low due to the risk of bias, imprecision, and inconsistency. These findings show that PIP is a prevalent issue in the CEE region. Further well-designed studies conducted across countries are needed to strengthen the existing evidence and increase the generalizability of findings.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
PRISMA flow diagram.
Figure 2
Figure 2
Risk of bias: reviewers' judgements about each risk of bias item across all included studies. Presented as percentages.
Figure 3
Figure 3
Box-and-whisker plots of prevalence of potentially inappropriate prescribing (a) for all outcomes, (b) separately by the overall risk of bias, (c) separately by the setting, (d) separately by the study period. LTC Long-term care.

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