In assessing the validity of research evidence, factors like study design, sample sizes, statistical analyses and quality methods are important. In order to reduce the chance of bias, and ensure the generalizability of the findings to the study population, it is ideal that high-quality research studies use rigorous methods such as randomized controlled trial or other rigorous scientific techniques. In addition, the importance of evaluating the relevant and applicable evidence in the study context is crucial.
Many different guidelines and standards exist to evaluate and improve healthcare quality. One example is the IOM’s six aims for quality improvement, which include:
- Safety: Reducing harm caused to patients by medical errors and other adverse events.
- Effectiveness: Providing evidence-based care that is appropriate and effective for the patient’s condition.
- Patient-centeredness: Focusing on the needs, preferences, and values of the patient, and involving patients in care decisions.
- Reduce wait times, delays and ensure timely access to services.
- Efficiency: The use of resources to maximize value and minimize waste.
- Equity: To provide equitable health care, free of discrimination, that meets diverse population needs.
This framework can be used to assess healthcare quality and identify improvement areas. It is also important to remember that organizations can have different priorities or standards for improving quality, and these may change over time, as evidence and new best practices are developed.