Bias in research

The aim of this article is to outline types of ‘bias’ across research designs, and consider strategies to minimise bias. Evidence-based nursing, defined as the “process by which evidence, nursing theory, and clinical expertise are critically evaluated and considered, in conjunction with patient involvement, to provide the delivery of optimum nursing care,”1 is central to the continued development of the nursing professional. Implementing evidence into practice requires nurses to critically evaluate research, in particular assessing the rigour in which methods were undertaken and factors that may have biased findings.

A children's nurse's role in the global development of a child with diabetes mellitus.

The nursing care of a six year old with type 1 diabetes reveals the importance of accurate control of the condition for normal physical, emotional and cognitive development. Clearly the children's nurse can educate and support the child, parents and extended family towards achieving independence and self-care. Theoretical knowledge of normal child maturation can guide nurses to constantly adapt their modes of communication and nursing skills, so as to promote every aspect and stage of the child's growth. Prevalence of type 1 diabetes is increasing, and nurses should use their close professional involvement with patients to assist research at every opportunity.

The struggle for safe staffing levels in the USA: A political economy of evidence-based practice

This paper examines the debate over nursing staff to patient ratios through the lens of Marxist political economy, arguing that the owners and controllers of healthcare in the USA have a vested interest in opposing mandated minimum ratios, while those involved in carrying out nursing care have a vested interest in their implementation, which coincides with the interests of patients. We examine how evidence-based practice articulates with social power, and proceed to interrogate the research methods used to generate evidence for practice, noting that randomised controlled trials are not suitable for evaluating nurse/patient ratios, which means that observational studies are the primary source of evidence. Representatives of nursing managers have used the fact that observational studies, while demonstrating an association between high ratios and poor outcomes, have not established a causal relationship, to support their argument that there is not sufficient evidence for the imposition of mandatory ratios. We argue that the precautionary principle provides firm justification for mandatory ratios, unless and until a causal relationship has been disproved. We conclude that those involved in the generation of evidence have to choose between technical arguments about the inferiority of observational studies, or emphasising their sufficiency in triggering the precautionary principle.