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Understanding the barriers and enablers of pharmacogenomic testing in primary care: a qualitative systematic review with meta-aggregation synthesis

    Sadaf Qureshi

    *Author for correspondence:

    E-mail Address: sadaf.qureshi@nhs.net

    NHS Derby & Derbyshire Clinical Commissioning Group, Medicines Management,10 Nottingham Road, Derby, DE1 3QT, UK

    ,
    Asam Latif

    School of Health Sciences, University Park, University of Nottingham, NG2 7RD, UK

    ,
    Laura Condon

    Primary Care Stratified Medicine Research Group (PRISM), School of Medicine, University Park, University of Nottingham, NG2 7RD, UK

    ,
    Ralph K Akyea

    Primary Care Stratified Medicine Research Group (PRISM), School of Medicine, University Park, University of Nottingham, NG2 7RD, UK

    ,
    Joe Kai

    Primary Care Stratified Medicine Research Group (PRISM), School of Medicine, University Park, University of Nottingham, NG2 7RD, UK

    &
    Nadeem Qureshi

    Primary Care Stratified Medicine Research Group (PRISM), School of Medicine, University Park, University of Nottingham, NG2 7RD, UK

    Published Online:https://doi.org/10.2217/pgs-2021-0131

    Introduction: Pharmacogenomic testing can indicate which drugs may have limited therapeutic action or lead to adverse effects, hence guiding rational and safe prescribing. However, in the UK and other countries, there are still significant barriers to implementation of testing in primary care. Objective: This systematic review presents the barriers and enablers to the implementation of pharmacogenomics in primary care setting. Materials & methods: MEDLINE, EMBASE, PsycINFO and CINAHL databases were searched through to July 2020 for studies that reported primary qualitative data of primary care professionals and patient views. Following screening, data extraction and quality assessment, data synthesis was undertaken using meta-aggregation based on the theoretical domain’s framework (TDF). Confidence in the synthesized findings relating to credibility and dependability was established using CONQual. Eligible papers were categorized into six TDF domains – knowledge; social and professional roles; behavioral regulation; beliefs and consequences; environmental context and resources; and social influences. Results: From 1669 citations, eighteen eligible studies were identified across seven countries, with a sample size of 504 participants including both primary care professionals and patients. From the data, 15 synthesized statements, all with moderate CONQual rating emerged. These categories range from knowledge, awareness among Primary Care Physicians and patients, professional relationships, negative impact of PGx, belief that PGx can reduce adverse drug reactions, clinical evidence, cost–effectiveness, informatics, reporting issues and social issues. Conclusion: Through use of TDF, fifteen synthesized statements provide policymakers with valuable recommendations for the implementation of pharmacogenomics in primary care. In preparation, policymakers need to consider the introduction of effective educational strategies for both PCPs and patients to raise knowledge, awareness, and engagement. The actual introduction of PGx will require reorganization with decision support tools to aid use of PGx in primary care, with a clear delegation of roles and responsibilities between general professionals and pharmacists supplemented by a local pool of experts. Furthermore, policy makers need to address the cost effectiveness of pharmacogenomics and having appropriate infrastructure supporting testing and interpretation including informatic solutions for utilizing pharmacogenomic results.

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