Why the study?
Chronic disease poses a major burden, and patient self-testing may be expensive and burdensome, requiring a robust evidence base to confirm its utility and efficacy.
Does patient self-testing improve clinical outcomes and psychological well-being in patients with chronic diseases?
Does patient self-testing improve clinical outcomes and psychological well-being in patients with chronic diseases?
Patient self-testing can improve clinical outcomes and patient convenience in chronic disease management, provided it is accompanied by adequate educational support.
Self-testing may improve chronic disease outcomes only with empowered, trained patients; leaves open routine adoption without higher-level trials.
Chronic disease poses a major burden to patients and health care systems. This review considers how patient self-testing can contribute to the management of chronic disease. Self-testing can only confer benefit if it occurs in the context of an empowered patient who has the skills and training to translate test results into meaningful actions. The benefits may include improved clinical outcomes, greater patient convenience and improved psychological well-being; separately and together these may contribute to reduced costs of care. As self-testing may be expensive and burdensome to patients, it is important that its use in chronic disease is supported by a robust evidence base confirming its utility and efficacy. The design of studies to assess the impact of self-testing poses challenges for the researcher and the quality of evidence presented is often variable. Randomised controlled trials (RCTs) provide more robust evidence than observational studies; the intervention under study is not just self-testing but includes the educational support to allow patients to use results effectively. This review discusses the evidence base relating to patient self-testing in diabetes, anticoagulant monitoring and in renal transplant patients and in particular highlights the impact of new technology developments such as flash glucose monitoring in diabetes.
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Maurice O’Kane (2019) studied this question.
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